<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD with MathML3 v1.3 20210610//EN"  "JATS-archivearticle1-3-mathml3.dtd"><article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.3"><front><journal-meta><journal-id journal-id-type="nlm-ta">elife</journal-id><journal-id journal-id-type="publisher-id">eLife</journal-id><journal-title-group><journal-title>eLife</journal-title></journal-title-group><issn publication-format="electronic" pub-type="epub">2050-084X</issn><publisher><publisher-name>eLife Sciences Publications, Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">95297</article-id><article-id pub-id-type="doi">10.7554/eLife.95297</article-id><article-id pub-id-type="doi" specific-use="version">10.7554/eLife.95297.3</article-id><article-categories><subj-group subj-group-type="display-channel"><subject>Research Article</subject></subj-group><subj-group subj-group-type="heading"><subject>Immunology and Inflammation</subject></subj-group></article-categories><title-group><article-title>Secreted antigen A peptidoglycan hydrolase is essential for <italic>Enterococcus faecium</italic> cell separation and priming of immune checkpoint inhibitor therapy</article-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes" id="author-348343"><name><surname>Klupt</surname><given-names>Steven</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="equal-contrib1">†</xref><xref ref-type="fn" rid="con1"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" equal-contrib="yes" id="author-348344"><name><surname>Fam</surname><given-names>Kyong Tkhe</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0002-4877-5679</contrib-id><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="equal-contrib1">†</xref><xref ref-type="fn" rid="con2"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" equal-contrib="yes" id="author-348345"><name><surname>Zhang</surname><given-names>Xing</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="equal-contrib1">†</xref><xref ref-type="fn" rid="con3"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" id="author-348346"><name><surname>Chodisetti</surname><given-names>Pavan Kumar</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="con4"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" id="author-348347"><name><surname>Mehmood</surname><given-names>Abeera</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="fn" rid="con5"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" id="author-348348"><name><surname>Boyd</surname><given-names>Tumara</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con6"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" id="author-224562"><name><surname>Grotjahn</surname><given-names>Danielle</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con7"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" id="author-348349"><name><surname>Park</surname><given-names>Donghyun</given-names></name><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="fn" rid="con8"/><xref ref-type="fn" rid="conf1"/></contrib><contrib contrib-type="author" corresp="yes" id="author-206490"><name><surname>Hang</surname><given-names>Howard C</given-names></name><contrib-id authenticated="true" contrib-id-type="orcid">https://orcid.org/0000-0003-4053-5547</contrib-id><email>hhang@scripps.edu</email><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff3">3</xref><xref ref-type="other" rid="fund1"/><xref ref-type="fn" rid="con9"/><xref ref-type="fn" rid="conf2"/></contrib><aff id="aff1"><label>1</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02dxx6824</institution-id><institution>Department of Immunology and Microbiology, Scripps Research</institution></institution-wrap><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff><aff id="aff2"><label>2</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02dxx6824</institution-id><institution>Department of Integrative Structural &amp; Computational Biology, Scripps Research</institution></institution-wrap><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff><aff id="aff3"><label>3</label><institution-wrap><institution-id institution-id-type="ror">https://ror.org/02dxx6824</institution-id><institution>Department of Chemistry, Scripps Research</institution></institution-wrap><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff></contrib-group><contrib-group content-type="section"><contrib contrib-type="editor"><name><surname>Turnbaugh</surname><given-names>Peter J</given-names></name><role>Reviewing Editor</role><aff><institution-wrap><institution-id institution-id-type="ror">https://ror.org/043mz5j54</institution-id><institution>University of California, San Francisco</institution></institution-wrap><country>United States</country></aff></contrib><contrib contrib-type="senior_editor"><name><surname>Garrett</surname><given-names>Wendy S</given-names></name><role>Senior Editor</role><aff><institution>Harvard T.H. Chan School of Public Health</institution><country>United States</country></aff></contrib></contrib-group><author-notes><fn fn-type="con" id="equal-contrib1"><label>†</label><p>These authors contributed equally to this work</p></fn></author-notes><pub-date publication-format="electronic" date-type="publication"><day>10</day><month>06</month><year>2024</year></pub-date><volume>13</volume><elocation-id>RP95297</elocation-id><history><date date-type="sent-for-review" iso-8601-date="2023-12-22"><day>22</day><month>12</month><year>2023</year></date></history><pub-history><event><event-desc>This manuscript was published as a preprint.</event-desc><date date-type="preprint" iso-8601-date="2023-11-21"><day>21</day><month>11</month><year>2023</year></date><self-uri content-type="preprint" xlink:href="https://doi.org/10.1101/2023.11.19.567738"/></event><event><event-desc>This manuscript was published as a reviewed preprint.</event-desc><date date-type="reviewed-preprint" iso-8601-date="2024-03-04"><day>04</day><month>03</month><year>2024</year></date><self-uri content-type="reviewed-preprint" xlink:href="https://doi.org/10.7554/eLife.95297.1"/></event><event><event-desc>The reviewed preprint was revised.</event-desc><date date-type="reviewed-preprint" iso-8601-date="2024-04-26"><day>26</day><month>04</month><year>2024</year></date><self-uri content-type="reviewed-preprint" xlink:href="https://doi.org/10.7554/eLife.95297.2"/></event></pub-history><permissions><copyright-statement>© 2024, Klupt, Fam, Zhang et al</copyright-statement><copyright-year>2024</copyright-year><copyright-holder>Klupt, Fam, Zhang et al</copyright-holder><ali:free_to_read/><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><ali:license_ref>http://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This article is distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use and redistribution provided that the original author and source are credited.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="elife-95297-v1.pdf"/><self-uri content-type="figures-pdf" xlink:href="elife-95297-figures-v1.pdf"/><related-article related-article-type="commentary" ext-link-type="doi" xlink:href="10.7554/eLife.97277" id="ra1"/><abstract><p><italic>Enterococcus faecium</italic> is a microbiota species in humans that can modulate host immunity (Griffin and Hang, 2022), but has also acquired antibiotic resistance and is a major cause of hospital-associated infections (Van Tyne and Gilmore, 2014). Notably, diverse strains of <italic>E. faecium</italic> produce SagA, a highly conserved peptidoglycan hydrolase that is sufficient to promote intestinal immunity (Rangan et al., 2016; Pedicord et al., 2016; Kim et al., 2019) and immune checkpoint inhibitor antitumor activity (Griffin et al., 2021). However, the functions of SagA in <italic>E. faecium</italic> were unknown. Here, we report that deletion of <italic>sagA</italic> impaired <italic>E. faecium</italic> growth and resulted in bulged and clustered enterococci due to defective peptidoglycan cleavage and cell separation. Moreover, Δ<italic>sagA</italic> showed increased antibiotic sensitivity, yielded lower levels of active muropeptides, displayed reduced activation of the peptidoglycan pattern-recognition receptor NOD2, and failed to promote cancer immunotherapy. Importantly, the plasmid-based expression of SagA, but not its catalytically inactive mutant, restored Δ<italic>sagA</italic> growth, production of active muropeptides, and NOD2 activation. SagA is, therefore, essential for <italic>E. faecium</italic> growth, stress resistance, and activation of host immunity.</p></abstract><kwd-group kwd-group-type="author-keywords"><kwd>Enterococcus faecium</kwd><kwd>NOD2</kwd><kwd>cancer immunotherapy</kwd></kwd-group><kwd-group kwd-group-type="research-organism"><title>Research organism</title><kwd>Mouse</kwd></kwd-group><funding-group><award-group id="fund1"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100000002</institution-id><institution>National Institutes of Health</institution></institution-wrap></funding-source><award-id>CA245292</award-id><principal-award-recipient><name><surname>Hang</surname><given-names>Howard C</given-names></name></principal-award-recipient></award-group><award-group id="fund2"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100011769</institution-id><institution>Scripps Research Institute</institution></institution-wrap></funding-source><award-id>Start-up funds</award-id><principal-award-recipient><name><surname>Park</surname><given-names>Donghyun</given-names></name><name><surname>Hang</surname><given-names>Howard C</given-names></name></principal-award-recipient></award-group><award-group id="fund3"><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100011769</institution-id><institution>Scripps Research Institute</institution></institution-wrap></funding-source><award-id>David C. Fairchild Endowed Fellowship</award-id><principal-award-recipient><name><surname>Mehmood</surname><given-names>Abeera</given-names></name></principal-award-recipient></award-group><funding-statement>The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.</funding-statement></funding-group><custom-meta-group><custom-meta specific-use="meta-only"><meta-name>Author impact statement</meta-name><meta-value>The peptidoglycan hydrolase activity of <italic>Enterococcus faecium</italic> secreted antigen A is crucial for cell wall remodeling during bacterial cell separation and generates muropeptides that stimulate host immunity to enhance immune checkpoint inhibitor anti-cancer therapy.</meta-value></custom-meta><custom-meta specific-use="meta-only"><meta-name>publishing-route</meta-name><meta-value>prc</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p><italic>Enterococcus</italic> is a genus of Gram-positive bacteria that is composed of more than seventy different species found in diverse environments, both free-living and in relationships with various animals (<xref ref-type="bibr" rid="bib19">Lebreton et al., 2017</xref>). <italic>Enterococcus faecium</italic> strains have been isolated from humans and reported to have both beneficial and pathogenic properties (<xref ref-type="bibr" rid="bib34">Van Tyne and Gilmore, 2014</xref>). Notably, antibiotic-resistant strains of <italic>E. faecium</italic>, particularly vancomycin-resistant <italic>E. faecium</italic> (VREfm), have emerged as major causes of healthcare-associated infections (<xref ref-type="bibr" rid="bib34">Van Tyne and Gilmore, 2014</xref>; <xref ref-type="bibr" rid="bib9">Fiore et al., 2019</xref>; <xref ref-type="bibr" rid="bib10">García-Solache and Rice, 2019</xref>), and have been correlated with graft-versus-host disease (GVHD) and increased mortality in allogeneic hematopoietic cell transplantation patients (<xref ref-type="bibr" rid="bib32">Stein-Thoeringer et al., 2019</xref>). <italic>E. faecium</italic> has also been recovered from ulcerative colitis and Crohn’s disease patients and has been shown to exacerbate intestinal inflammation and colitis in mouse models of inflammatory bowel disease (IBD) <xref ref-type="bibr" rid="bib1">Barnett et al., 2010</xref>; <xref ref-type="bibr" rid="bib29">Seishima et al., 2019</xref>. However, commensal strains of <italic>E. faecium</italic> have also been reported to enhance intestinal immunity in animal models and have been developed as probiotics (<xref ref-type="bibr" rid="bib15">Hanchi et al., 2018</xref>). Furthermore, microbiota analysis has shown that <italic>E. faecium</italic> was enriched in immune checkpoint inhibitor (ICI) (<xref ref-type="bibr" rid="bib12">Gopalakrishnan et al., 2018</xref>; <xref ref-type="bibr" rid="bib28">Routy et al., 2018</xref>; <xref ref-type="bibr" rid="bib23">Matson et al., 2018</xref>) and chimeric antigen receptor (CAR) T-cell therapy-responsive patients (<xref ref-type="bibr" rid="bib31">Smith et al., 2022</xref>). These studies highlight the potential pathogenic and beneficial features of <italic>E. faecium</italic>.</p><p>Our laboratory previously investigated the beneficial effects of <italic>E. faecium</italic> on host physiology (<xref ref-type="bibr" rid="bib14">Griffin and Hang, 2022</xref>). We demonstrated that secreted antigen A (SagA), a highly conserved NlpC/P60 peptidoglycan hydrolase in <italic>E. faecium</italic>, was sufficient to confer protection against enteric infections in both <italic>Caenorhabditis elegans</italic> and mice (<xref ref-type="bibr" rid="bib27">Rangan et al., 2016</xref>). In mice, <italic>E. faecium</italic> and an <italic>E. faecalis</italic> strain engineered to express SagA both up-regulated expression of mucins and antimicrobial peptides, resulting in improved intestinal barrier function as well as tolerance to <italic>Salmonella enterica</italic> serovar Typhimurium and <italic>Clostridioides difficile</italic> pathogenesis (<xref ref-type="bibr" rid="bib26">Pedicord et al., 2016</xref>; <xref ref-type="bibr" rid="bib18">Kim et al., 2019</xref>). In contrast, wild-type <italic>E. faecalis</italic>, which does not express SagA, did not exhibit these effects. We then determined the X-ray crystal structure of the SagA NlpC/P60 hydrolase domain, and demonstrated that this hydrolase preferentially cleaves crosslinked peptidoglycan fragments into smaller muropeptides (such as GlcNAc-MDP), which more effectively activate the peptidoglycan pattern recognition receptor NOD2 (nucleotide-binding oligomerization domain-containing protein 2) in mammalian cells (<xref ref-type="bibr" rid="bib18">Kim et al., 2019</xref>). Importantly, NOD2 was shown to be required for <italic>E. faecium</italic> stimulation of intestinal immunity and tolerance to infection in vivo (<xref ref-type="bibr" rid="bib26">Pedicord et al., 2016</xref>; <xref ref-type="bibr" rid="bib18">Kim et al., 2019</xref>). Moreover, <italic>E. faecium</italic> and SagA were sufficient to protect mice against dextran sodium sulfate-induced colitis that required the expression of NOD2 in myeloid cells (<xref ref-type="bibr" rid="bib16">Jang et al., 2023</xref>).</p><p>The discovery of <italic>E. faecium</italic> among the microbiota of cancer immunotherapy-responsive patients then motivated our analysis of <italic>Enterococcus</italic> species and SagA in mouse tumor models. Indeed, diverse strains of <italic>E. faecium</italic> that express SagA, but none of the non-SagA-expressing <italic>E. faecalis</italic> strains evaluated, were sufficient to promote ICI (anti-PD-L1, anti-PD-1, anti-CTLA-4) anti-tumor activity against different cancer types in mouse models (<xref ref-type="bibr" rid="bib13">Griffin et al., 2021</xref>). Furthermore, other <italic>Enterococcus</italic> species including <italic>E. durans</italic>, <italic>E. hirae,</italic> and <italic>E. mundtii,</italic> which each have SagA orthologs with greater than 80% protein similarity to that of <italic>E. faecium</italic>, were sufficient to enhance anti-PD-L1 antitumor activity (<xref ref-type="bibr" rid="bib13">Griffin et al., 2021</xref>). The SagA orthologs from these other <italic>Enterococcus</italic> species were expressed and secreted at similar levels to <italic>E. faecium</italic> SagA and showed similar peptidoglycan hydrolase activity in vitro (<xref ref-type="bibr" rid="bib13">Griffin et al., 2021</xref>). Importantly, heterologous expression of SagA in inactive bacterial species (<italic>E. faecalis</italic> and <italic>Lactococcus lactis</italic>) was sufficient to promote anti-PD-L1 antitumor activity and required NOD2 in vivo (<xref ref-type="bibr" rid="bib13">Griffin et al., 2021</xref>). Collectively, these studies demonstrated that <italic>Enterococcus</italic> peptidoglycan remodeling by SagA is sufficient to enhance intestinal immunity against infection and promote cancer immunotherapy. However, the endogenous functions of SagA in <italic>E. faecium</italic> microbiology and modulation of host immunity were not investigated previously, as <italic>sagA</italic> was believed to be an essential gene in <italic>E. faecium</italic> (strain TX1330), as reported by Murray and coworkers (<xref ref-type="bibr" rid="bib33">Teng et al., 2003</xref>). Nevertheless, our collaborative studies with the Duerkop laboratory have indicated that phage-resistant strains of <italic>E. faecium</italic> (strain Com12) containing catalytically inactivating point mutations in <italic>sagA</italic> were still viable (<xref ref-type="bibr" rid="bib5">Canfield et al., 2023</xref>), suggesting that SagA may not be essential and could be functionally evaluated in <italic>E. faecium</italic>.</p></sec><sec id="s2" sec-type="results"><title>Results</title><p>Here, we report the generation of a Δ<italic>sagA</italic> strain of <italic>E. faecium</italic> (Com15). This strain, generated using RecT-mediated recombineering methods developed by our laboratory (<xref ref-type="bibr" rid="bib6">Chen et al., 2021</xref>), exhibited significantly impaired growth (<xref ref-type="fig" rid="fig1">Figure 1a</xref>) and sedimentation in liquid culture (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1b</xref>). We then performed whole-genome sequencing to assess the fidelity of the Δ<italic>sagA</italic> strain’s genome to that of wild-type. While Δ<italic>sagA</italic> contained 14 mutations, most were outside of open-reading frames (ORFs) or were in genes that are unrelated to peptidoglycan metabolism (<xref ref-type="supplementary-material" rid="supp1">Supplementary file 1</xref>). One notable mutation, however, was in the predicted glycosidase EFWG_00994. This mutation, L200F, alters a leucine residue that is conserved among GH73 family members and the other putative Com15 glucosaminidases (<xref ref-type="supplementary-material" rid="supp1">Supplementary file 1</xref>). To confirm that the Δ<italic>sagA</italic> growth defect was truly SagA-dependent and was not an outcome of suppressor mutations, we generated a complementation strain (Δ<italic>sagA</italic>/ p<italic>sagA</italic>) that contained a plasmid expressing <italic>sagA</italic> under control of its native promoter. Western blot analysis with ɑ-SagA polyclonal serum confirmed the deletion and complementation of SagA (<xref ref-type="fig" rid="fig1">Figure 1b</xref>). Differential interference contrast (DIC) microscopy revealed that Δ<italic>sagA</italic> cells form irregular clusters, as opposed to the typical wild-type morphology of diplococci or short chains (<xref ref-type="fig" rid="fig1">Figure 1c</xref>). This cell morphology suggested that dividing Δ<italic>sagA</italic> cells may be unable to separate from one another during binary fission. Indeed, transmission electron microscopy (TEM) of chemically fixed samples confirmed that Δ<italic>sagA</italic> cells have defects in cell separation (<xref ref-type="fig" rid="fig1">Figure 1d</xref>). Division septa could form and mature in these cells; however, daughter cells failed to separate, resulting in clusters of unseparated cells. Cells on the periphery of these clusters were highly strained, and in some cases appeared to lyse and leave behind strands of undegraded peptidoglycan (<xref ref-type="fig" rid="fig1">Figure 1d</xref>). Importantly, the complementation largely restored the log-phase growth rate and stationary-phase OD of the Δ<italic>sagA</italic> strain to those of wild-type (<xref ref-type="fig" rid="fig1">Figure 1a</xref>). It also reversed the liquid-culture sedimentation phenotype (<xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1b</xref>) and reduced the cell clustering (<xref ref-type="fig" rid="fig1">Figure 1c</xref>) and defective septal separation (<xref ref-type="fig" rid="fig1">Figure 1d</xref>).</p><fig-group><fig id="fig1" position="float"><label>Figure 1.</label><caption><title>Growth and morphology phenotypes of wild-type, ΔsagA, and psagA complemented <italic>E.</italic> <italic>faecium</italic> Com15 strains<bold>.</bold></title><p>(<bold>a</bold>) Growth curves of <italic>E. faecium</italic> WT, ΔsagA, and complementation strains with functional and nonfunctional sagA genes (n=3). Data are presented as mean value ± standard deviation. (<bold>b</bold>) ɑ-SagA western blot of <italic>E. faecium</italic> WT, ΔsagA, and complementation strains with functional and nonfunctional sagA genes, on both whole cell lysate (pellets) and total secreted proteins (secreted). Bottom panel shows total protein loading visualized by Stain-free imaging and serves as protein loading control. (<bold>c</bold>) Differential interference contrast (DIC) microscopy of <italic>E. faecium</italic> WT, ΔsagA, and ΔsagA/psagA complemented strains. White arrows point to cell clusters. Scale bar = 5 µm. (<bold>d</bold>) Transmission electron microscopy (TEM) of <italic>E. faecium</italic> WT, ΔsagA, and ΔsagA/psagA complemented strains. White arrows point to failed cell separation in ΔsagA. Green arrow points to undegraded peptidoglycan in ΔsagA. Scale bar = 0.2 µm.</p><p><supplementary-material id="fig1sdata1"><label>Figure 1—source data 1.</label><caption><title>Excel file containing numeric data used to generate <xref ref-type="fig" rid="fig1">Figure 1a</xref>.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-95297-fig1-data1-v1.xlsx"/></supplementary-material></p><p><supplementary-material id="fig1sdata2"><label>Figure 1—source data 2.</label><caption><title>Uncropped western blots and gels (total protein) used to generate <xref ref-type="fig" rid="fig1">Figure 1b</xref>.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-95297-fig1-data2-v1.zip"/></supplementary-material></p><p><supplementary-material id="fig1sdata3"><label>Figure 1—source data 3.</label><caption><title>Uncropped images used to generate <xref ref-type="fig" rid="fig1">Figure 1c</xref>.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-95297-fig1-data3-v1.zip"/></supplementary-material></p><p><supplementary-material id="fig1sdata4"><label>Figure 1—source data 4.</label><caption><title>Uncropped images used to generate <xref ref-type="fig" rid="fig1">Figure 1d</xref>.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-95297-fig1-data4-v1.zip"/></supplementary-material></p><p><supplementary-material id="fig1sdata5"><label>Figure 1—source data 5.</label><caption><title>Validation of sagA deletion and image of bacterial strain growth.</title><p>Uncropped images used to generate <xref ref-type="fig" rid="fig1">Figure 1d</xref>.</p></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-95297-fig1-data5-v1.zip"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig1-v1.tif"/></fig><fig id="fig1s1" position="float" specific-use="child-fig"><label>Figure 1—figure supplement 1.</label><caption><title>Analysis of <italic>E.</italic><italic>faecium</italic> Δ<italic>sagA</italic> deletion and complementation studies.</title><p>(<bold>a</bold>) PCR validation of Δ<italic>sagA</italic> deletion. (<bold>b</bold>) Δ<italic>sagA</italic> cells are sedimented at the bottom of the tube compared to <italic>E. faecium</italic> wild-type (WT) and Δ<italic>sagA</italic> / p<italic>sagA</italic>.</p><p><supplementary-material id="fig1s1sdata1"><label>Figure 1—figure supplement 1—source data 1.</label><caption><title>Uncropped gel used to generate <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1a</xref> and uncropped photo used to generate <xref ref-type="fig" rid="fig1s1">Figure 1—figure supplement 1b</xref>.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-95297-fig1-figsupp1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig1-figsupp1-v1.tif"/></fig><fig id="fig1s2" position="float" specific-use="child-fig"><label>Figure 1—figure supplement 2.</label><caption><title>Antibiotic sensitivity of Δ<italic>sagA</italic>.</title><p>(<bold>a</bold>) Approximate minimum inhibitory concentration (MIC) determinations via antibiotic test strips for <italic>E. faecium</italic> wild-type (WT), Δ<italic>sagA</italic> and Δ<italic>sagA</italic>/ p<italic>sagA</italic>. White arrows point to MIC values (summary of MIC determination is in <xref ref-type="supplementary-material" rid="fig1s2sdata2">Figure 1—figure supplement 2—source data 2</xref>). (<bold>b</bold>) Liquid culture MIC determination for ampicillin. Growth curves of <italic>E. faecium</italic> WT, Δ<italic>sagA</italic>, and Δ<italic>sagA</italic>/ p<italic>sagA</italic> in the presence of serially diluted ampicillin (n=3). Data are presented as mean value ± standard deviation. MIC is defined as minimum tested concentration at which no bacterial growth is observed.</p><p><supplementary-material id="fig1s2sdata1"><label>Figure 1—figure supplement 2—source data 1.</label><caption><title>Uncropped images used to generate <xref ref-type="fig" rid="fig1s2">Figure 1—figure supplement 2a</xref>.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-95297-fig1-figsupp2-data1-v1.xlsx"/></supplementary-material></p><p><supplementary-material id="fig1s2sdata2"><label>Figure 1—figure supplement 2—source data 2.</label><caption><title>Excel file containing numeric data used to generate <xref ref-type="fig" rid="fig1s2">Figure 1—figure supplement 2b</xref>.</title></caption><media mimetype="application" mime-subtype="zip" xlink:href="elife-95297-fig1-figsupp2-data2-v1.zip"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig1-figsupp2-v1.tif"/></fig></fig-group><p>To investigate the significance of peptidoglycan hydrolase activity in SagA, we generated a catalytically inactive point mutant (C431A) in our <italic>sagA</italic> complementation plasmid. Consistent with our previous biochemical results on recombinant SagA NlpC/P60 domain activity (<xref ref-type="bibr" rid="bib18">Kim et al., 2019</xref>; <xref ref-type="bibr" rid="bib8">Espinosa et al., 2020</xref>), the C431A mutant was unable to complement the <italic>sagA</italic> deletion (<xref ref-type="fig" rid="fig1">Figure 1a–d</xref>), despite Western blot analysis confirming that the mutant SagA was expressed and secreted properly (<xref ref-type="fig" rid="fig1">Figure 1b</xref>). Together, these results demonstrated that catalytically active SagA is required for proper <italic>E. faecium</italic> growth.</p><p>Based on the growth defect of Δ<italic>sagA</italic> and the previously reported antibiotic sensitization effect of catalytically inactivating point mutants in the SagA of <italic>E. faecium</italic> strain Com12 (<xref ref-type="bibr" rid="bib5">Canfield et al., 2023</xref>), we chose to investigate the impact of the <italic>sagA</italic> deletion on the effectiveness of various cell wall-acting antibiotics. Using minimum inhibitory concentration (MIC) test strips of common antibiotics (vancomycin, linezolid, daptomycin, tigecycline, telavancin, fosfomycin, ampicillin, ceftriaxone, and imipenem), we observed increased sensitivity to the β-lactams (ampicillin, ceftriaxone, and imipenem), moderately increased sensitivity to daptomycin, tigecycline, fosfomycin, and linezolid and no change in sensitivity to telavancin and vancomycin (<xref ref-type="fig" rid="fig1s2">Figure 1—figure supplement 2a</xref>, <xref ref-type="supplementary-material" rid="supp2">Supplementary file 2</xref>). MIC analysis of ampicillin in liquid culture, further demonstrated that Δ<italic>sagA</italic> has increased susceptibility to β-lactam antibiotics, which was abrogated with p<italic>sagA</italic> expression (<xref ref-type="fig" rid="fig1s2">Figure 1—figure supplement 2b</xref>).</p><p>To further investigate the growth defect and increased β-lactam antibiotic sensitivity of Δ<italic>sagA</italic>, we performed cryo-electron tomography (cryo-ET) on frozen-hydrated samples to quantify factors such as peptidoglycan thickness, septum thickness, and placement of divisome components at a higher resolution (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1a and b</xref>). There was no statistically significant change in peptidoglycan thickness and septum thickness in Δ<italic>sagA</italic> and Δ<italic>sagA/</italic> p<italic>sagA</italic> cells compared to wild-type cells (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1c and d</xref>). Similar to previous studies of <italic>Bacillus subtilis</italic> (<xref ref-type="bibr" rid="bib17">Khanna et al., 2021</xref>), the divisome machinery was directly observable as concentric rings in cross-sectional images generated by cryo-ET in <italic>E. faecium</italic> (<xref ref-type="fig" rid="fig2s2">Figure 2—figure supplement 2a–d</xref>). We quantified the distances from these rings in order to assess potential differences in divisome placement (<xref ref-type="fig" rid="fig2s2">Figure 2—figure supplement 2e</xref>). The distance between the septal membrane and the distal ring of the divisome showed a slight increase, but we did not observe any statistical difference between the distance from the septal membrane to the proximal ring and the ratio between the proximal and distal rings in wild-type, Δ<italic>sagA</italic>, and complementation (<xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1e</xref>, <xref ref-type="fig" rid="fig2s2">Figure 2—figure supplement 2f and g</xref>). However, we observed that the placement and projection angle of growing septa were significantly altered in Δs<italic>agA</italic> but were mostly restored by complementation (<xref ref-type="fig" rid="fig2">Figure 2a–f</xref>). Both room temperature TEM and cryo-ET revealed that <italic>sagA</italic> complementation largely restored the wild-type cell morphology of Δ<italic>sagA</italic> to that of wild-type (<xref ref-type="fig" rid="fig2">Figure 2</xref>, <xref ref-type="fig" rid="fig2s1">Figure 2—figure supplements 1</xref> and <xref ref-type="fig" rid="fig2s2">2</xref>). The complemented cells separate from one another and mostly take the form of diplococci. These results suggest that the ultrastructure of the peptidoglycan cell wall is unchanged as a result of <italic>sagA</italic> deletion, but peptidoglycan cleavage, divisome angle, and septal resolution are impaired.</p><fig-group><fig id="fig2" position="float"><label>Figure 2.</label><caption><title>Deletion of <italic>sagA</italic> changes the angle of growing septum.</title><p>(<bold>a-c</bold>) Representative tomographic slices (n=3) of <italic>E. faecium</italic> strains: <italic>E. faecium</italic> wild-type (WT) (<bold>a</bold>), Δ<italic>sagA</italic> (<bold>b</bold>), and Δ<italic>sagA</italic>/p<italic>sagA</italic> (<bold>c</bold>). Cell division septa are indicated by white arrows. Scale bar = 100 nm. (<bold>d</bold>) A diagram indicating how septum angle measurements were collected. Acute angles are recorded for further analysis. (<bold>e</bold>) Comparison of septum angle. The violin plot displays the distribution of septum angle, with <italic>E. faecium</italic> WT (n=40) shown in blue, Δ<italic>sagA</italic> (n=49) shown in red, and Δ<italic>sagA</italic>/p<italic>sagA</italic> (n=37) shown in magenta. Black dotted lines represent median (<italic>E. faecium</italic> WT: 88°, Δ<italic>sagA</italic>: 79°, Δ<italic>sagA</italic>/ p<italic>sagA</italic>: 87°) while the colored dotted lines represent quartiles. Welch’s <italic>t</italic>-test was used to calculate statistical significance. *p&lt; 0.05; ****p&lt; 0.0001. (<bold>f</bold>), Pairwise comparison of septum angle in opposing septa. The paired plot displays the distribution of septum angle, with <italic>E. faecium</italic> WT (n=18) shown in blue, Δ<italic>sagA</italic> (n=16) shown in red, and Δ<italic>sagA</italic>/ p<italic>sagA</italic> (n=16) shown in magenta. Two septum angles from opposing septa are linked with straight lines. Paired <italic>t-</italic>test was used to calculate statistical significance. ns, p≥0.05.</p><p><supplementary-material id="fig2sdata1"><label>Figure 2—source data 1.</label><caption><title>Excel file containing numeric data to generate <xref ref-type="fig" rid="fig2">Figure 2e–f</xref>.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-95297-fig2-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig2-v1.tif"/></fig><fig id="fig2s1" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 1.</label><caption><title><italic>E.</italic><italic>faecium</italic> Δ<italic>sagA</italic> exhibits no defects in cell wall and septum thickness.</title><p>(<bold>a</bold>) Representative cryo-electron tomography (cryo-ET) images of <italic>E. faecium</italic> wild-type (WT), Δ<italic>sagA</italic>, and Δ<italic>sagA</italic>/p<italic>sagA</italic> are shown in the top row. The cell wall, septum, divisome, and ribosome are indicated by white arrows. 3D segmentations are shown in the bottom row. The cell wall is annotated in blue, the membrane in green, and the divisome in magenta. Scale bar = 100 nm. (<bold>b</bold>) The upper panel shows a diagram illustrating how measurements are collected. In the lower panel, a representative cryo-ET image of the septum is shown. Scale bar = 50 nm. (<bold>c</bold>), Comparison of cell wall thickness. The violin plot displays the distribution of cell wall thickness, with <italic>E. faecium</italic> WT (n=66) shown in blue, Δ<italic>sagA</italic> (n=96) shown in red, and Δ<italic>sagA</italic>/p<italic>sagA</italic> (n=69) shown in magenta. Black dotted lines represent median (<italic>E. faecium</italic> WT: 47.48 nm, Δ<italic>sagA</italic>: 50.11 nm, Δ<italic>sagA</italic>/ p<italic>sagA</italic>: 46.42 nm) while the colored dotted lines represent quartiles. Welch’s <italic>t</italic>-est was used to calculate statistical significance. ns, p≥ 0.05. (<bold>d</bold>) Comparison of septum thickness. The violin plot displays the distribution of septum thickness, with <italic>E. faecium</italic> WT (n=26) shown in blue, Δ<italic>sagA</italic> (n=62) shown in red, and Δ<italic>sagA</italic>/p<italic>sagA</italic> (n=16) shown in magenta. Black dotted lines represent median (<italic>E. faecium</italic> WT: 54.33 nm, Δ<italic>sagA</italic>: 54.86 nm, <italic>ΔsagA</italic>/p<italic>sagA</italic>: 57.50 nm) while the colored dotted lines represent quartiles. Welch’s <italic>t-</italic>test was used to calculate statistical significance. ns, p≥ 0.05. (<bold>e</bold>) Comparison of divisome architecture. To assess potential alterations in the divisome architecture, the distance between the apical end of the septum and the membrane-proximal ring was divided by the distance between the apical end of the septum and the membrane-distal ring. The violin plot displays the distribution of the ratios, with <italic>E. faecium</italic> WT (n=31) shown in blue, Δ<italic>sagA</italic> (n=40) shown in red, and Δ<italic>sagA</italic>/p<italic>sagA</italic> (n=42) shown in magenta. Black dotted lines represent median (<italic>E. faecium</italic> WT: 0.5, Δ<italic>sagA</italic>: 0.5, <italic>ΔsagA</italic>/p<italic>sagA</italic>: 0.5) while the colored dotted lines represent quartiles. Welch’s <italic>t</italic>-test was used to calculate statistical significance. ns, p≥0.05.</p><p><supplementary-material id="fig2s1sdata1"><label>Figure 2—figure supplement 1—source data 1.</label><caption><title>Excel file containing numeric data to generate <xref ref-type="fig" rid="fig2s1">Figure 2—figure supplement 1c–e</xref>.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-95297-fig2-figsupp1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig2-figsupp1-v1.tif"/></fig><fig id="fig2s2" position="float" specific-use="child-fig"><label>Figure 2—figure supplement 2.</label><caption><title>Deletion of <italic>sagA</italic> alters the position of cell division.</title><p>(<bold>a</bold>) Cartoon model depicting cell division site in the xy coordinate plane (left) and xz coordinate plane (right). The two boxes shown in right represent the cryo-focused ion beam (cryo-FIB) milling patterns used to generate thin sections of <italic>E. faecium</italic> for subsequent cryo-electron tomography (cryo-ET) imaging. (<bold>b–d</bold>) Representative tomographic slices (n=2) of <italic>E. faecium</italic> strains: <italic>E. faecium</italic> wild-type (WT) (<bold>b</bold>), Δ<italic>sagA</italic> (<bold>c</bold>), and Δ<italic>sagA</italic>/ p<italic>sagA</italic>. (<bold>d</bold>). The upper panels show the view of dividing cells in the xy coordinate plane and, while the corresponding bottom panels show the divisome complex (annotated with white arrows) at the highlighted areas in the corresponding upper panels in the xz coordinate plane, obtained by rotating the cell 90° along the highlighted axis. Scale bar = 100 nm. (<bold>e</bold>) A diagram indicating how measurements were collected. (<bold>f</bold>) Comparison of membrane to proximal ring distance. The violin plot displays the distribution of distance between the apical end of septum membrane to the proximal ring, with <italic>E. faecium</italic> WT (n=31) shown in blue, Δ<italic>sagA</italic> (n=40) shown in red, and Δ<italic>sagA</italic>/p<italic>sagA</italic> (n=42) shown in magenta. Black dotted lines represent median (<italic>E. faecium</italic> WT: 7.39 nm, Δ<italic>sagA</italic>: 7.39 nm, Δ<italic>sagA</italic>/p<italic>sagA</italic>: 7.39 nm) while the colored dotted lines represent quartiles. Welch’s <italic>t</italic>-est was used to calculate statistical significance. ns, p≥0.05. (<bold>g</bold>) Comparison of membrane to distal ring distance. The violin plot displays the distribution of distance between the apical end of septum membrane to the distal ring, with <italic>E. faecium</italic> WT (n=31) shown in blue, Δ<italic>sagA</italic> (n=40) shown in red, and Δ<italic>sagA</italic>/p<italic>sagA</italic> (n=42) shown in magenta. Black dotted lines represent median (<italic>E. faecium</italic> WT: 14.77 nm, Δ<italic>sagA</italic>: 15.83 nm, Δ<italic>sagA</italic>/p<italic>sagA</italic>: 15.83 nm) while the colored dotted lines represent quartiles. Welch’s <italic>t-</italic>test was used to calculate statistical significance. *p&lt; 0.05.</p><p><supplementary-material id="fig2s2sdata1"><label>Figure 2—figure supplement 2—source data 1.</label><caption><title>Excel file containing numeric data used to generate <xref ref-type="fig" rid="fig2s2">Figure 2—figure supplement 2f–g</xref>.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-95297-fig2-figsupp2-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig2-figsupp2-v1.tif"/></fig></fig-group><p>We then investigated Δ<italic>sagA</italic> peptidoglycan composition and activation of NOD2 immune signaling. To evaluate peptidoglycan composition, <italic>E. faecium</italic> sacculi were isolated, subjected to mutanolysin digestion, analyzed by liquid chromatography mass spectrometry (<xref ref-type="fig" rid="fig3s1">Figure 3—figure supplement 1</xref>) and quantified (<xref ref-type="fig" rid="fig3">Figure 3a and b</xref>), as previously described (<xref ref-type="bibr" rid="bib18">Kim et al., 2019</xref>). The Δ<italic>sagA</italic> strain showed decreased levels of small muropeptides (peaks 2, 3, and 7 with green asterisk) compared to <italic>E. faecium</italic> Com15, which was restored in Δ<italic>sagA</italic>/ p<italic>sagA</italic> (<xref ref-type="fig" rid="fig3">Figure 3a</xref>). Moreover, we observed increased amounts of crosslinked peptidoglycan fragments (peaks 13 and 14 with purple asterisk) (<xref ref-type="fig" rid="fig3">Figure 3a</xref>). Notably, GlcNAc-MDP, which we previously demonstrated more effectively activates NOD2 (<xref ref-type="bibr" rid="bib18">Kim et al., 2019</xref>), was significantly decreased in Δ<italic>sagA</italic> (<xref ref-type="fig" rid="fig3">Figure 3b</xref>). We next evaluated live bacterial cultures with mammalian cells to determine their ability to activate the peptidoglycan pattern recognition receptor NOD2. Indeed, our analysis of these bacterial strains using HEK-Blue NF-κB reporter cells demonstrated that Δ<italic>sagA</italic> exhibits significantly decreased NOD2 activation compared to <italic>E. faecium</italic> WT. This activation was restored in Δ<italic>sagA</italic>/ p<italic>sagA</italic> (<xref ref-type="fig" rid="fig3">Figure 3c</xref>). For these assays, we used comparable numbers of bacteria to account for defects in Δ<italic>sagA</italic> growth, which was confirmed by colony-forming unit analysis of bacteria per well (<xref ref-type="fig" rid="fig3">Figure 3d</xref>). These results were consistent with our in vitro analysis of recombinant SagA with purified peptidoglycan fragments, which showed that the generation of small muropeptides (GlcNAc-MDP) more potently activated NOD2 compared to crosslinked muropeptides (<xref ref-type="bibr" rid="bib18">Kim et al., 2019</xref>). Our results also demonstrated that while many enzymes are required for the biosynthesis and remodeling of peptidoglycan in <italic>E. faecium</italic>, SagA is essential for generating NOD2-activating muropeptides ex vivo.</p><fig-group><fig id="fig3" position="float"><label>Figure 3.</label><caption><title>Peptidoglycan profile and NOD2 activation of <italic>E.</italic><italic>faecium</italic> Δ<italic>sagA</italic>.</title><p>(<bold>a</bold>) Relative abundance of muropeptides isolated from mutanolysin-digested sacculi of <italic>E. faecium</italic> strains and analyzed by LC-MS (n=6). Green asterisks highlight changes in abundance of small muropeptides, purple asterisks highlight changes in abundance of crosslinked peptidoglycan fragments. Numbers correspond to different muropeptides from LC-MS analysis listed in legend. (<bold>b</bold>) Composition of muropeptides from <italic>E. faecium</italic> sacculi. <sup>a</sup> Peak numbers refer to (<bold>a</bold>). <sup>b</sup> GM, disaccharide (GlcNAc-MurNAc); 2 GM, disaccharide-disaccharide (GlcNAc-MurNAc-GlcNAc-MurNAc); 3 GM, disaccharide-disaccharide-disaccharide (GlcNAc-MurNAc-GlcNAc-MurNAc-GlcNAc-MurNAc); GM-Tri, disaccharide tripeptide (L-Ala-D-iGln-L-Lys); GM-Tetra, disaccharide tetrapeptide (L-Ala-D-iGln-L-Lys-D-Ala); GM-Penta, disaccharide pentapeptide (L-Ala-D-iGln-L-Lys-D-Ala -D-Ala). <sup>c</sup> The assignment of the amide and the hydroxyl functions to either peptide stem is arbitrary. (<bold>c</bold>) Relative abundance of GMDP relative to wild-type (WT) from LC-MS chromatograms (n=6). (<bold>d</bold>), NF-κB responses of HEK-Blue hNOD2 cells to live <italic>E. faecium</italic> strains (MOI = 1, n=6). NOD2 activation is expressed as fold change relative to untreated control. (<bold>e</bold>) Colony forming units (CFU) of <italic>E. faecium</italic> strains (MOI = 1) internalized in HEK-Blue hNOD2 cells (n=6). Dashed line indicates Limit of Detection (LOD). Data for (<bold>a, c–e</bold>) represent mean value ± standard deviation and analyzed with one-way ANOVA and Tukey’s multiple comparison post hoc test. *p≤0.05; **p≤0.01; ***p≤0.005; ****p≤0.001; ns, not significant.</p><p><supplementary-material id="fig3sdata1"><label>Figure 3—source data 1.</label><caption><title>Excel file containing numeric data used to generate <xref ref-type="fig" rid="fig3">Figure 3a and c–e</xref>.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-95297-fig3-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig3-v1.tif"/></fig><fig id="fig3s1" position="float" specific-use="child-fig"><label>Figure 3—figure supplement 1.</label><caption><title>Peptidoglycan profile of <italic>E.</italic> <italic>faecium</italic> Δ<italic>sagA</italic> by LC-MS.</title><p>(<bold>a</bold>) Representative LC-MS chromatograms of mutanolysin-digested peptidoglycan isolated from sacculi of <italic>E. faecium</italic> wild-type (W)T (top), Δ<italic>sagA</italic> (middle), and Δ<italic>sagA</italic>/ p<italic>sagA</italic> (bottom). Numbers correspond to each muropeptide annotated in the table (<bold>b</bold>) <sup>b</sup> Composition of mutanolysin-digested peptidoglycan isolated from <italic>E. faecium</italic> sacculi. <sup>a</sup> Peak numbers refer to (<bold>a</bold>). <sup>b</sup> GM, disaccharide (GlcNAc-MurNAc); 2 GM, disaccharide-disaccharide (GlcNAc-MurNAc-GlcNAc-MurNAc); 3 GM, disaccharide-disaccharide-disaccharide (GlcNAc-MurNAc-GlcNAc-MurNAc-GlcNAc-MurNAc); GM-Tri, disaccharide tripeptide (L-Ala-D-iGln-L-Lys); GM-Tetra, disaccharide tetrapeptide (L-Ala-D-iGln-L-Lys-D-Ala); GM-Penta, disaccharide pentapeptide (L-Ala-D-iGln-L-Lys-D-Ala -D-Ala). <sup>c</sup> The assignment of the amide and the hydroxyl functions to either peptide stem is arbitrary.</p><p><supplementary-material id="fig3s1sdata1"><label>Figure 3—figure supplement 1—source data 1.</label><caption><title>Excel file containing numeric data used to generate <xref ref-type="fig" rid="fig3s1">Figure 3—figure supplement 1a</xref>.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-95297-fig3-figsupp1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig3-figsupp1-v1.tif"/></fig></fig-group><p>We next investigated if SagA is crucial for <italic>E. faecium</italic> colonization and immune modulation in vivo using well-established mouse models of ICI cancer immunotherapy (<xref ref-type="fig" rid="fig4">Figure 4a</xref>). We had previously demonstrated that heterologous expression of SagA was sufficient to promote <italic>E. faecalis</italic> and <italic>L. lactis</italic> ICI antitumor activity and required <italic>Nod2</italic> expression in mice (<xref ref-type="bibr" rid="bib13">Griffin et al., 2021</xref>). However, activity of wild-type <italic>E. faecium</italic> in <italic>Nod2</italic><sup>-/-</sup> mice was not determined. Indeed, oral administration of <italic>E. faecium</italic> to microbiota-depleted/antibiotic-treated C57BL/6 mice promoted anti-PD-1 antitumor activity against MC-38 tumor growth in <italic>Nod2<sup>+/-</sup></italic>, but failed to do so in <italic>Nod2<sup>-/-</sup></italic> mice (<xref ref-type="fig" rid="fig4">Figure 4b</xref>). To determine if SagA is required for <italic>E. faecium</italic> function in vivo, antibiotic-treated mice were colonized with <italic>E. faecium</italic> Com15 or Δ<italic>sagA</italic>. Notably, the antitumor activity of <italic>E. faecium</italic> was abolished in Δ<italic>sagA</italic> strain (<xref ref-type="fig" rid="fig4">Figure 4c</xref>) even though both bacterial strains colonized mice at comparable levels, as judged by fecal <italic>E. faecium</italic> levels (<xref ref-type="fig" rid="fig4">Figure 4d</xref>). We then performed immune profiling of tumor infiltrating lymphocytes (TILs) using flow cytometry (<xref ref-type="fig" rid="fig4s1">Figure 4—figure supplement 1</xref>). Compared to <italic>E. faecium</italic> Com15 colonized mice, Δ<italic>sagA</italic> colonized mice showed no difference in the total amount of the tumor-infiltrating CD45<sup>+</sup> cells (<xref ref-type="fig" rid="fig4">Figure 4e</xref>) or CD4<sup>+</sup> FoxP3+ regulatory T cells (<xref ref-type="fig" rid="fig4">Figure 4f</xref>), but resulted in fewer CD3<sup>+</sup> CD8<sup>+</sup> T cells (<xref ref-type="fig" rid="fig4">Figure 4g</xref>). Furthermore, granzymeB<sup>+</sup> CD8<sup>+</sup> T cells, Ki67<sup>+</sup> CD8<sup>+</sup> T cells, and PD-1<sup>+</sup> CD8<sup>+</sup> T cells levels were also lower in Δ<italic>sagA</italic> colonized mice (<xref ref-type="fig" rid="fig4">Figure 4h–j</xref>). We evaluated the activity Δ<italic>sagA</italic>/p<italic>sagA</italic> strain in these experiments (data not shown), but the results were inconclusive likely due to instability of p<italic>sagA</italic> plasmid in <italic>E. faecium</italic> in vivo. We note that by continuous oral administration in the drinking water, live <italic>E. faecium</italic> and soluble muropeptides that are released into the media during bacterial growth may both contribute to NOD2 activation in vivo. Nonetheless, these results demonstrate SagA is not essential for <italic>E. faecium</italic> colonization, but is required for promoting the ICI antitumor activity through NOD2 in vivo.</p><fig-group><fig id="fig4" position="float"><label>Figure 4.</label><caption><title>Immune checkpoint inhibitor antitumor activity and tumor immune profile of <italic>E.</italic><italic>faecium</italic> Δ<italic>sagA</italic> colonized mice.</title><p>(<bold>a</bold>) Schematic of tumor growth experiment: mice were provided water containing antibiotics for one week and started drinking bacteria three days before tumor implantation. Once the tumor reaches ~100 mm<sup>3</sup>, the measurement starts, and two days after treated with anti-PD-1 (MC38) or anti-PD-L1 (B16F10) every other day. (<bold>b</bold>) MC-38 tumor growth in <italic>Nod2<sup>+/-</sup></italic> or <italic>Nod2<sup>-/-</sup></italic> mice that were colonized with <italic>E. faecium</italic> WT and treated with anti-PD-1 starting at day 7. +/-=10 for <italic>Nod2<sup>+/-</sup></italic> +/-, n=6 for <italic>Nod2<sup>-/-</sup></italic> mice. (<bold>c</bold>) B16F10 tumor growth in C57BL/6 mice that were colonized with <italic>E. faecium</italic> wild-type (WT) or Δ<italic>sagA</italic> and treated with anti-PD-L1 starting at day 6. No bacterial colonization group as a control (black). n=7–8 mice per group. (<bold>d</bold>) Fecal colony forming units (CFU) analysis of <italic>E. faecium</italic> on HiCrome <italic>Enterococcus faecium</italic> agar plates from (<bold>c</bold>) at day 6. n=6 per group. Each dot represents one mouse. The line indicates the limit of detection (LOD, 4000 CFU g<sup>–1</sup>). Nd, not detected. Data represent means ± 95% confidence interval. (<bold>e–j</bold>) Quantification of tumor infiltrating CD45<sup>+</sup> cells (<bold>e</bold>), FoxP3<sup>+</sup> cells (<bold>f</bold>), CD3<sup>+</sup> CD8<sup>+</sup> cells (<bold>g</bold>), GranzymeB<sup>+</sup> CD8<sup>+</sup> T cells (<bold>h</bold>), Ki67<sup>+</sup> CD8<sup>+</sup> T cells (<bold>i</bold>), and PD-1<sup>+</sup> CD8<sup>+</sup> T cells (<bold>j</bold>). For (<bold>f, h-j</bold>), fluorescence minus one (FMO) control was used to define gates. n=7 mice per group. Data for (<bold>b</bold>) and (<bold>c</bold>) represent mean ± SEM and were analyzed using a mixed effects model with Tukey’s multiple comparisons post hoc test. Data for (<bold>e–j</bold>) represent mean ± SEM and were analyzed by the Mann-Whitney U (one-tail) test. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001; ns, not significant.</p><p><supplementary-material id="fig4sdata1"><label>Figure 4—source data 1.</label><caption><title>Excel file containing numeric data used to generate <xref ref-type="fig" rid="fig4">Figure 4b–j</xref>.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-95297-fig4-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig4-v1.tif"/></fig><fig id="fig4s1" position="float" specific-use="child-fig"><label>Figure 4—figure supplement 1.</label><caption><title>Gating strategy used for flow cytometry analysis of tumor infiltrating lymphocytes (TILs).</title><p>We first identified total tumor infiltrating cells by forward and side scatter gating. We then selected single cells using forward scatter area (FSC-A) versus forward scatter height (FSC-H) parameters and side scatter area (SSC-A) versus side scatter height (SSC-H) parameters, respectively. From the single-cell population, we selected live cells by gating on LIVE/DEAD dye events. Then, we selected total leukocytes from live cells, using the pan-leukocyte marker CD45. From the total leukocytes, we identified T cells and NK cells using the pan-T cell marker CD3 and the NK cell marker NK1.1. We then split T cells (CD3<sup>+</sup> NK1.1<sup>-</sup>) into CD4<sup>+</sup> and CD8<sup>+</sup> populations using CD4 and CD8 expression. From the total CD8<sup>+</sup> T cells, we further gated GranzymeB<sup>+</sup>CD8<sup>+</sup> cytotoxic T cells, Ki67<sup>+</sup>CD8<sup>+</sup> T cells, and PD-1<sup>+</sup>CD8<sup>+</sup> T cells. From the total CD4<sup>+</sup> T cells, FoxP3<sup>+</sup> CD4<sup>+</sup> T cells were identified as regulatory T cells. We also gated the GranzymeB<sup>+</sup> NK cells from NK (CD3<sup>-</sup> NK1.1<sup>+</sup>) cells.</p><p><supplementary-material id="fig4s1sdata1"><label>Figure 4—figure supplement 1—source data 1.</label><caption><title>Excel file containing numeric data used to generate <xref ref-type="fig" rid="fig4s1">Figure 4—figure supplement 1</xref>.</title></caption><media mimetype="application" mime-subtype="xlsx" xlink:href="elife-95297-fig4-figsupp1-data1-v1.xlsx"/></supplementary-material></p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig4-figsupp1-v1.tif"/></fig></fig-group></sec><sec id="s3" sec-type="discussion"><title>Discussion</title><p><italic>E. faecium</italic> is a prominent microbiota species and pathogen in animals and humans. While <italic>E. faecium</italic> identification and dominance in fecal microbiota have been correlated with health and disease outcomes, the underlying mechanisms have only begun to emerge. Our previous gain-of-function studies with recombinant protein and engineered bacterial strains demonstrated that SagA, a unique secreted peptidoglycan hydrolase that is highly conserved in <italic>E. faecium</italic> strains and other <italic>Enterococcus</italic> species, but not <italic>E. faecalis</italic>, is sufficient to activate NOD2 and promote host immunity in vivo (<xref ref-type="bibr" rid="bib27">Rangan et al., 2016</xref>; <xref ref-type="bibr" rid="bib26">Pedicord et al., 2016</xref>; <xref ref-type="bibr" rid="bib18">Kim et al., 2019</xref>; <xref ref-type="bibr" rid="bib13">Griffin et al., 2021</xref>). However, the endogenous functions of SagA in <italic>E. faecium</italic> were unknown. Based on the results described above, we now show that SagA peptidoglycan hydrolase activity is not required for <italic>E. faecium</italic> viability, but is essential for proper growth and specifically for septal separation following cell division (<xref ref-type="fig" rid="fig1">Figures 1</xref> and <xref ref-type="fig" rid="fig2">2</xref>). These results are consistent with key peptidoglycan hydrolases in other bacterial species, such as AmiA/B in <italic>Escherichia coli</italic> (<xref ref-type="bibr" rid="bib36">Yang et al., 2011</xref>), CwlO/LytE in <italic>Bacillus subtilis</italic> (<xref ref-type="bibr" rid="bib25">Meisner et al., 2013</xref>; <xref ref-type="bibr" rid="bib35">Wilson et al., 2023</xref>), PcsB in <italic>Streptococcus pneumoni</italic>ae (<xref ref-type="bibr" rid="bib30">Sham et al., 2011</xref>) and RipC in <italic>Mycobacterium tuberculosis</italic> (<xref ref-type="bibr" rid="bib24">Mavrici et al., 2014</xref>). Although the mechanisms of regulation may differ amongst peptidoglycan hydrolases and remain to be determined for SagA, the <italic>sagA</italic> promoter contains sequence motifs that may be regulated by WalRK two-component systems (<xref ref-type="bibr" rid="bib4">Brogan and Rudner, 2023</xref>) and the SagA protein contains a N-terminal coil-coil domain that may interact with <italic>E. faecium</italic> divisome components, which warrants further investigation in the future. Notably, the deletion of <italic>sagA</italic> in <italic>E. faecium</italic> Com15 also renders this strain more susceptible to cell wall-acting antibiotics (<xref ref-type="fig" rid="fig1s2">Figure 1—figure supplement 2</xref>), akin to inactive SagA variants in <italic>E. faecium</italic> Com12 (<xref ref-type="bibr" rid="bib5">Canfield et al., 2023</xref>), suggesting SagA and its related peptidoglycan hydrolases may be potential antibacterial targets to use in combination with existing antibiotics. Interestingly, clade B strains of <italic>E. faecium</italic> including Com12 and Com15 have been suggested to be reclassified as <italic>Enterococcus lactis</italic> based on genomic and phenotypic similarity (<xref ref-type="bibr" rid="bib3">Belloso Daza et al., 2022</xref>; <xref ref-type="bibr" rid="bib2">Belloso Daza et al., 2021</xref>). Nonetheless, SagA orthologs have greater than 90 percent protein sequence identity within the C-terminal NlpC/P60 hydrolase domain of ICI therapy-promoting <italic>Enterococcus</italic> species (<italic>E. faecium-clade A and B, E. durans, E. hirae</italic> and <italic>E. mundtii</italic>) (<xref ref-type="bibr" rid="bib13">Griffin et al., 2021</xref>). Notably, all the <italic>Enterococcus</italic> strains and species that express active SagA orthologs that we have analyzed promote ICI cancer immunotherapy in mouse models (<xref ref-type="bibr" rid="bib13">Griffin et al., 2021</xref>).</p><p>Beyond intrinsic functions in <italic>E. faecium</italic> microbiology, we have also demonstrated for the first time that SagA is essential for the activation of host immunity. Notably, we showed that Δ<italic>sagA</italic> does not generate significant amounts of non-crosslinked muropeptides (i.e. GlcNAc-MDP) that are sensed by the peptidoglycan pattern recognition receptor NOD2 (<xref ref-type="fig" rid="fig3">Figure 3</xref>). Indeed, Δ<italic>sagA</italic> failed to activate NOD2 ex vivo (<xref ref-type="fig" rid="fig3">Figure 3</xref>) and promote ICI antitumor activity in mouse models compared to wild-type <italic>E. faecium</italic> (<xref ref-type="fig" rid="fig4">Figure 4</xref>). Collectively, our results provide important mechanistic insight on SagA in peptidoglycan remodeling for bacterial cell separation and reveal an essential feature of <italic>E. faecium</italic> (<xref ref-type="fig" rid="fig5">Figure 5</xref>) and other related <italic>Enterococcus</italic> species that are associated with human health, disease, and response to therapy.</p><fig id="fig5" position="float"><label>Figure 5.</label><caption><title>Summary of SagA function in <italic>E. faecium</italic> and impact on host immunity during ICI cancer therapy.</title><p>Deletion of <italic>sagA</italic> impairs peptidoglycan remodeling and cell separation in <italic>E. faecium</italic> and limits the activation of NOD2 in mammalian cells to promote immune checkpoint inhibitor cancer therapy in mouse models. Created with BioRender.com.</p></caption><graphic mimetype="image" mime-subtype="tiff" xlink:href="elife-95297-fig5-v1.tif"/><permissions><copyright-statement>© 2024, BioRender Inc</copyright-statement><copyright-year>2024</copyright-year><copyright-holder>BioRender Inc</copyright-holder><ali:free_to_read/><license><ali:license_ref>https://creativecommons.org/licenses/by-nc-nd/4.0/</ali:license_ref><license-p>Figure 5 was created using <ext-link ext-link-type="uri" xlink:href="https://www.biorender.com/">BioRender</ext-link>, and is published under a <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">CC BY-NC-ND</ext-link> license. Further reproductions must adhere to the terms of this license.</license-p></license></permissions></fig></sec><sec id="s4" sec-type="materials|methods"><title>Materials and methods</title><sec id="s4-1"><title>Bacterial growth</title><p>All cultures of <italic>E. faecium</italic> (<xref ref-type="supplementary-material" rid="supp3">Supplementary file 3</xref>) and <italic>E. coli</italic> were grown in a shaking incubator at 37 °C and 220 RPM with relevant antibiotics. <italic>E. faecium</italic> was grown in Brain Heart Infusion (BHI) broth or on BHI agar supplemented as needed with 10 µg/mL chloramphenicol or 50 µg/mL erythromycin. <italic>E. coli</italic> was grown in Luria-Bertani (LB) broth or on LB agar supplemented as needed with 10 ug/mL chloramphenicol or 150 ug/mL erythromycin. Growth curve experiments were performed in 96-well plate format using a BioTek (Agilent) plate reader set to 37 °C continuous shaking. Starter cultures were grown overnight shaking at 37 °C in BHI with appropriate antibiotics. For the growth curves, the starter cultures were diluted to an OD of 0.01 in fresh BHI in a sterile 96-well plate.</p></sec><sec id="s4-2"><title><italic>sagA</italic> knockout generation</title><p>The Δ<italic>sagA::cat</italic> knockout was generated following methods previously described by our laboratory (<xref ref-type="bibr" rid="bib6">Chen et al., 2021</xref>). Briefly, double-stranded DNA (dsDNA) templates were assembled by cloning <italic>sagA</italic> homology arms flanking a chloramphenicol acetyltransferase (<italic>cat</italic>) antibiotic marker into pET21, and amplified by PCR. PCR was performed using Q5 high-fidelity DNA polymerase (New England BioLabs) according to the manufacturer’s instructions. The dsDNA was electroporated into electrocompetent <italic>E. faeicum</italic> Com15 cells harboring RecT prepared using the lysozyme method previously described in <xref ref-type="bibr" rid="bib6">Chen et al., 2021</xref>. The transformants were verified by colony PCR.</p><p><italic>sagA</italic> complementation and mutagenesis <italic>sagA</italic> complementation was accomplished using a pAM401-based plasmid containing <italic>sagA</italic> under the control of its native promoter. Primers used to make the p<italic>sagA</italic> plasmids and empty vector are reported in <xref ref-type="supplementary-material" rid="supp5 supp6">Supplementary files 5 and 6</xref>. Plasmids were transformed by electroporation into electrocompetent Δ<italic>sagA</italic> cells.</p></sec><sec id="s4-3"><title>Western blot analysis</title><p>Cultures were grown overnight shaking at 37 °C with appropriate antibiotics. The next day, the cultures were centrifuged and the pellets were separated from the supernatants. The pellets were resuspended in lysis buffer (50 mM Bis-Tris pH 7.5, 4% SDS, 0.1 mg/mL lysozyme, 25 U benzonase), and then lysed by bead beating (FastPrep system, MP Biomedicals). Proteins were precipitated from the supernatants by methanol-chloroform precipitation and resuspended in water. Proteins from the pellets and supernatants were quantified by BCA analysis (Thermo Fisher), and run on a Stain-Free gel (Bio-Rad). Total protein was visualized by Stain-Free imaging technology using a Bio-Rad ChemiDoc MP imager. Protein bands were then transferred to a nitrocellulose membrane by semi-dry transfer. The membrane was blocked for 1 hr with TBST + 5% powdered milk at room temperature, then stained with primary antibody (rabbit anti-SagA polyclonal sera) diluted 1:50,000 in TBST + 5% milk for 1 hr at room temperature. The membrane was then stained with a secondary antibody (goat anti-rabbit antibody, HRP-conjugate) diluted 1:20,000 in TBST + 5% powdered milk for 1 hr at room temperature with agitation. Membranes were washed with TBST three times for 5 min at room temperature with agitation. Blots were developed using Clarity Western ECL substrate (Bio-Rad) and imaged using a Bio-Rad ChemiDoc MP imager.</p></sec><sec id="s4-4"><title>Transmission electron microscopy</title><p>Cultures were grown overnight shaking at 37 °C in BHI with appropriate antibiotics. Bacteria were then rinsed with 0.1 M cacodylate buffer followed by immersion in oxygenated 2.5% glutaraldehyde and 4% paraformaldehyde fixative in 0.1 M sodium cacodylate buffer (pH 7.1) and embedded in low-melting-point agar then fixed overnight at 4 °C. After washing in 0.1 M sodium cacodylate buffer, the samples were post-fixed in buffered 1% osmium tetroxide plus 1.5% potassium ferrocyanide for 1 hr at 4 °C, rinsed in ddH<sub>2</sub>O and stained <italic>en bloc</italic> with 0.5% uranyl acetate overnight at 4 °C. Samples were washed in ddH<sub>2</sub>O and dehydrated through a graded ethanol series followed by acetone, and infiltrated with LX-112 (Ladd) epoxy resin and polymerized at 60 °C. Thin sections (70 nm) were imaged at 80kV with a Thermo Fisher 1Talos L120C transmission electron microscope and images were acquired with a CETA 16 M CMOS camera.</p></sec><sec id="s4-5"><title>Cryo-electron tomography</title><p><italic>E. faecium</italic> strains used in the cryo-ET experiments were grown overnight at 37 °C in BHI broth with appropriate antibiotics. Fresh cultures were prepared from a 1:100 dilution of the overnight culture and then grown at 37 °C to late log phase. The culture was centrifuged at 1000 x g for 5 min. The pellet was resuspended with BHI broth containing 5% glycerol to OD600 of 3. 5 µl of <italic>ΔsagA</italic> and <italic>ΔsagA</italic>/p<italic>sagA</italic> samples were deposited onto freshly glow-discharged (Pelco easiGlow; 25 s glow at 15mA) Quantifoil R2/1 copper 200 mesh grids for 1 min, back-side blotted with filter paper (Whatman Grade 1 filter paper), and frozen in liquid ethane using a gravity-driven homemade plunger apparatus (inside a 4° cold room with a≥95% relative humidity). The WT Com15 samples were frozen using a Vitrobot Mark IV (Thermo Fisher Scientific) in liquid ethane/propane mixture. The Vitrobot was set to 22 C° at 90% humidity, and manually back-side blotted. The vitrified grids were later clipped with Cryo-FIB autogrids (Thermo Fisher Scientific) prior to milling.</p><p>Cryo-FIB milling was performed using Aquilos dual-beam cryo-FIB/SEM instrument (Thermo Fisher Scientific). The vitrified sample was sputtered with metallic platinum for 15 s, followed by a coating of organometallic platinum for 8–9  s to protect the sample, and then the sample was sputtered with metallic platinum for 15  s to prevent drifting during milling. Target sites were milled manually with a gallium ion beam to generate lamellae with a thickness of approximately &lt;150 nm. Finally, the lamellae were sputtered with metallic platinum for 3–4  s to create bead-like fiducial inclusions that aid in tilt series alignment.</p><p>Lamellae were imaged with a Titan Krios microscope (Thermo Fisher Scientific) equipped with a field emission gun, an energy filter, and a direct-detection device (Gatan K3). An energy filter with a slit width of 20  eV was used for data acquisition. The SerialEM package (<xref ref-type="bibr" rid="bib21">Mastronarde, 2005</xref>) with PACEtomo scripts (<xref ref-type="bibr" rid="bib7">Eisenstein et al., 2023</xref>) was used to collect 39 image stacks at a range of tilt angles between +57° and –57° (3° step size) using a dose-symmetric scheme with a cumulative dose of ~117 e<sup>−</sup>/Å2. Data was collected with a magnification resulting in 2.64 Å/pixel and a nominal defocus of ~ –5 µm. Image stacks containing 10–15 images were motion-corrected using Motioncor2 (<xref ref-type="bibr" rid="bib37">Zheng et al., 2017</xref>) and then assembled into drift-corrected stacks using IMOD. The drift-corrected stacks were aligned and reconstructed by IMOD marker-dependent alignment (<xref ref-type="bibr" rid="bib22">Mastronarde and Held, 2017</xref>). Representative tomograms and raw tilt series are publicly available: EMD-42074, EMD-42086, EMD-42087, and EMPIAR-11692.</p><p>All the tomograms were denoised with IsoNet (<xref ref-type="bibr" rid="bib20">Liu et al., 2022</xref>), a deep learning-based software package. Segmentation was performed using Amira software (Thermo Fisher Scientific). All the renderings were visualized in 3D using UCSF ChimeraX (<xref ref-type="bibr" rid="bib11">Goddard et al., 2018</xref>).</p><sec id="s4-5-1"><title>Antibiotic sensitivity assays</title><p>MIC test strip analysis. Overnight cultures were diluted to an OD of 0.2. 200 μL of diluted culture were then spread onto a BHI agar plate using glass beads (for strains containing p<italic>sagA</italic> or empty pAM401E, BHI plates with 50 μg/mL erythromycin were used). Plates were placed in a 37 °C incubator for approximately 1 hr to allow the liquid to soak into the plate. MIC test strips (Liofilchem) were then placed at the center of the agar plates using sterile tweezers. Plates were incubated overnight at 37 °C and photographed the next day. For ampicillin liquid culture MIC experiments, the same protocol as the growth curve experiments described above were used, except the cells were treated with various serially-diluted concentrations of ampicillin.</p></sec></sec><sec id="s4-6"><title>NOD2 activation assays</title><p>The assay was followed by the manufacturer’s protocol. In brief, HEK-Blue hNOD2 cells (InvivoGen) were seeded in 96-well plate at the cell density 6 × 10<sup>4</sup> cells/well. <italic>E. faecium</italic> were grown to an OD of ~0.5 from overnight inoculant, washed with PBS, and resuspended in Opti-MEM. Live bacteria were given to HEK-Blue cells at multiplicity of infection (MOI) 1 and incubated for 4 hr at 37 °C. After 4 hr, HEK-Blue cells were carefully washed with PBS and the media was replaced with DMEM supplemented with gentamycin (250 μg/mL) to kill extracellular bacteria. Cells were incubated at 37 °C for an additional 16 hr. NOD2 activation was measured by detecting NF-κB-inducible secreted embryonic alkaline phosphatase expression in the media using colorimetric QUANTI-Blue detection assay (InvivoGen). Fold-change of NOD2 activation was expressed relative to untreated HEK-Blue cells control.</p></sec><sec id="s4-7"><title>LC-MS analysis of peptidoglycan</title><p>Peptidoglycan was extracted from bacterial sacculi (wild-type <italic>E. faecium</italic>, Δ<italic>sagA</italic>, and Δ<italic>sagA</italic>/p<italic>sagA</italic>) and digested with mutanolysin from <italic>Streptomyces globisporus</italic> (Sigma, 10 KU/ml of mutanolysin in ddH<sub>2</sub>O) as previously described <xref ref-type="bibr" rid="bib18">Kim et al., 2019</xref>. The resulting soluble muropeptide mixture was treated with sodium borohydride in 0.25 M boric acid (pH 9) for 1 hr at room temperature, quenched with orthophosphoric acid, and pH adjusted to 2–3. Samples were centrifuged at 20,000 × g for 10 min. Then, the reduced peptidoglycan was analyzed by 1290 Infinity II LC/MSD system (Agilent technologies) using Poroshell 120 EC-C18 column (3x150 mm, 2.7 μM). Samples were run at flow rate 0.5 mL/min in mobile phase (A: water, 0.1% formic acid) and an eluent (B: acetonitrile, 0.1% formic acid) using the following gradient: 0–5 min: 2% B, 5–65 min: 2–10% B. The absorbance of the eluting peaks was measured at 205  nm. Masses of peaks were detected with MSD API-ES Scan mode (m/z=200–2500) (<xref ref-type="supplementary-material" rid="supp7">Supplementary file 7</xref>). For quantification of relative abundance of muropeptides, the area under the curve of individual peak from chromatograms was integrated and the percentage of individual peak was calculated relative to all assigned peaks.</p></sec><sec id="s4-8"><title>Animals</title><p>Specific pathogen-free, seven-week-old male C57BL/6 (B6,000664) mice were obtained from Scripps Rodent Breeding Colony. For breeding, <italic>Nod2<sup>-/-</sup></italic> (B6.129S1-<italic>Nod2<sup>tm1Flv</sup></italic>/J) and C57BL/6 (B6,000664) mice were obtained from The Jackson Laboratory. <italic>Nod2<sup>+/-</sup></italic> and <italic>Nod2<sup>-/-</sup></italic> littermate cohorts were generated by in-house breeding. Genotyping was performed according to the protocols established for the respective strains by The Jackson Laboratory (Protocol 25069). Mice were housed in autoclaved caging with SaniChip bedding and enrichment for nest building on a +/- hr light/dark cycle. Mice were provided gamma-irradiated chow (LabDiet, 5053) and sterile drinking water ad libitum. Animal care and experiments were conducted in accordance with NIH guidelines and approved by the Institutional Animal Care and Use Committee at Scripps Research (Protocol AUP-21–095).</p></sec><sec id="s4-9"><title>Tumor challenge, growth, and treatment experiments</title><p>Seven-week-old mice were pre-treated with antibiotic (5 g L-1 streptomycin, 1 g L-1 colistin sulfate, and 1 g L-1 ampicillin) for one week prior to bacterial colonization, as previously described (<xref ref-type="bibr" rid="bib13">Griffin et al., 2021</xref>). <italic>E. faecium</italic> Com15 and <italic>ΔsagA</italic> strains were grown to late logarithmic phase and diluted to OD600=0.46, then diluted 5 x with drinking water to (OD0.46 equal to 10<sup>8</sup> CFU ml<sup>–1</sup>). Three days after bacterial colonization (Day 0), mice were subcutaneously implanted with B16F10 melanoma cells (10<sup>5</sup> cells per mice) or MC38 tumor cells (3 × 10<sup>5</sup> cells per mice) with Matrigel matrix (Corning, 356231). Once the tumors established (around 100 mm<sup>3</sup>), tumor volume was measured every two days by digital calipers and was calculated as length × width 2 × 0.5, where the width was the smaller of the two measurements. For B16F10 implanted mice, 20 ug anti–PD-L1 (BioXCell, BP0101) were administered to the mice at Day 6, 9, and 12 by intraperitoneal injection in 200 μL antibody buffer solution (BioXCell, PH 6.5 dilution buffer). For MC38 implanted mice, 100 ug anti–PD-1 (BioXCell, BP0146) were administered to the mice at Day 5, 7, 9, 11, and 14 by intraperitoneal injection in 200 μL antibody buffer solution (BioXCell, PH 7.0 dilution buffer). Mice were euthanized with CO2 asphyxiation when the tumors larger than 1.5 cm<sup>3</sup> or any ulceration or lesioning developed.</p></sec><sec id="s4-10"><title>Fecal colonization analysis</title><p>Fecal samples were sterilely collected six days after the start of bacterial administration. Fecal samples were weighed, resuspended in sterile PBS, homogenized by douncing with sterile pestles, serially diluted in sterile PBS, and then plated by drip assay onto selective HiCrome <italic>Enterococcus faecium</italic> agar plates (HIMEDIA 1580) with <italic>Enterococcus faecium</italic> selective supplement (FD226, HIMEDIA). Plates were incubated for 48 hr at 37 °C under ambient atmosphere and colonies were manually counted.</p></sec><sec id="s4-11"><title>Cell isolation and flow cytometry analysis</title><p>Tumor dissection and cell isolation were performed as previously described <xref ref-type="bibr" rid="bib13">Griffin et al., 2021</xref>. The dissected tumor samples were placed in RPMI with 1.5 U mL<sup>–1</sup> Liberase TM (Roche 5401119001), 0.2 mg mL-1 DNase I (Worthington Biochemical LS002006) and ceramic spheres (6.35 mm, MP Biomedicals 116540424-CF) for 30 min at 37 °C with gentle shaking. Samples were then filtered and resuspended in 5 mL of red blood cell lysis buffer (Thermo Fisher 00-4333-57) for 5 min at room temperature. Cells were washed and incubate with 1:1000 Zombie Yellow stain (BioLegend 423103) for 20 min at room temperature. After two times wash, samples were incubated with 20 μL of staining buffer containing 0.5 μL of TruStain FcX anti–mouse CD16/32 blocking agent (BioLegend 101319) for 30 min at room temperature. Sample directly incubate with anti-CD4 (BUV496, GK1.5, BD Biosciences 612953) and anti-PD-1 (BV711, CD279, BD Biosciences 135231) for another 30 min on ice. Cells were washed twice, fixed, and permeabilized with the FoxP3/Transcription Factor Staining Buffer Set (Thermo Fisher 00-5523-00) overnight at 4 °C. Cells were washed twice with perm buffer and then incubated with 20 μL of perm buffer containing 10% rat serum (Thermo Fisher 24-5555-94) for 20 min on ice. Cells were then stainied with the following antibodies for 20 min on ice: anti-CD45 (APC-Fire 750, 30-F11, BioLegend 103153), anti-CD3 (BV785, 17A2, BioLegend 100232), anti-NK1.1 (BV480, PK136, BD Biosciences 746265) anti-CD8 (PE-Cy-7, 53–6.7, BioLegend 100721), anti-FoxP3 (AF532, FJK-16s, Thermo Fisher 58-5773-80), anti-Granzyme B (PE-CF594, GB11, BD Biosciences 562462) and anti-Ki67 (FITC, SolA15, LifeTech 11-5698-82). Samples were analyzed using Cytek Aurora spectral flow cytometer and the data were analyzed using FlowJo Version 10.9.0.</p></sec></sec></body><back><sec sec-type="additional-information" id="s5"><title>Additional information</title><fn-group content-type="competing-interest"><title>Competing interests</title><fn fn-type="COI-statement" id="conf1"><p>No competing interests declared</p></fn><fn fn-type="COI-statement" id="conf2"><p>has filed patent applications (PCT/US2016/028836, PCT/US2020/019038) for the commercial use of SagA-bacteria to improve intestinal immunity and checkpoint blockade immunotherapy, which has been licensed by Rise Therapeutics for probiotic development</p></fn></fn-group><fn-group content-type="author-contribution"><title>Author contributions</title><fn fn-type="con" id="con1"><p>Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft, Conceived the project, Performed microbiology studies, Wrote the manuscript, which was edited by all the other authors</p></fn><fn fn-type="con" id="con2"><p>Formal analysis, Validation, Investigation, Visualization, Methodology, Writing – review and editing, Performed LC-MS analysis of peptidoglycan and NOD2 activation assays, Edited the manuscript, Revised the manuscript</p></fn><fn fn-type="con" id="con3"><p>Formal analysis, Validation, Investigation, Visualization, Methodology, Writing – review and editing, Performed immune checkpoint inhibitor antitumor and flow cytometry studies, Edited the manuscript</p></fn><fn fn-type="con" id="con4"><p>Formal analysis, Writing – review and editing, Assisted microbiology studies</p></fn><fn fn-type="con" id="con5"><p>Formal analysis, Writing – review and editing, Assisted immune checkpoint inhibitor antitumor and flow cytometry studies</p></fn><fn fn-type="con" id="con6"><p>Formal analysis, Performed cryo-electron tomography analysis</p></fn><fn fn-type="con" id="con7"><p>Resources, Writing – review and editing, Established Scripps Research cryo-ET facility, Provided training and technical assistance</p></fn><fn fn-type="con" id="con8"><p>Formal analysis, Performed cryo-electron tomography analysis</p></fn><fn fn-type="con" id="con9"><p>Conceptualization, Resources, Data curation, Supervision, Funding acquisition, Methodology, Writing – original draft, Project administration, Writing – review and editing, Conceived the project, Wrote the manuscript, which was edited by all the other authors, Revised the manuscript</p></fn></fn-group><fn-group content-type="ethics-information"><title>Ethics</title><fn fn-type="other"><p>Animal care and experiments were conducted in accordance with NIH guidelines and approved by the Institutional Animal Care and Use Committee at Scripps Research (Protocol AUP-21-095).</p></fn></fn-group></sec><sec sec-type="supplementary-material" id="s6"><title>Additional files</title><supplementary-material id="supp1"><label>Supplementary file 1.</label><caption><title>Mutations detected in Δ<italic>sagA E. faecium</italic> Com15 strain.</title></caption><media xlink:href="elife-95297-supp1-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="supp2"><label>Supplementary file 2.</label><caption><title>Summary of MIC determinations via antibiotic test strips for <italic>E. faecium</italic> wild-type (WT), Δ<italic>sagA,</italic> and Δ<italic>sagA</italic>/p<italic>sagA</italic> (<xref ref-type="fig" rid="fig1s2">Figure 1—figure supplement 2a</xref>).</title></caption><media xlink:href="elife-95297-supp2-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="supp3"><label>Supplementary file 3.</label><caption><title><italic>E. faecium</italic> strains used in this study.</title></caption><media xlink:href="elife-95297-supp3-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="supp4"><label>Supplementary file 4.</label><caption><title>Plasmids used in this study.</title></caption><media xlink:href="elife-95297-supp4-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="supp5"><label>Supplementary file 5.</label><caption><title>Primers used in this study for generating complementation plasmids and empty vector.</title></caption><media xlink:href="elife-95297-supp5-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="supp6"><label>Supplementary file 6.</label><caption><title>Primers used in this study for SagA mutagenesis.</title></caption><media xlink:href="elife-95297-supp6-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="supp7"><label>Supplementary file 7.</label><caption><title>Masses of peptidoglycan fragments were detected with MSD API-ES.</title></caption><media xlink:href="elife-95297-supp7-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material><supplementary-material id="mdar"><label>MDAR checklist</label><media xlink:href="elife-95297-mdarchecklist1-v1.docx" mimetype="application" mime-subtype="docx"/></supplementary-material></sec><sec sec-type="data-availability" id="s7"><title>Data availability</title><p>All data generated within this study are available in the article. Cryo-ET raw data and representative tomograms have been deposited to the Electron Microscopy Public Image Archive under accession number EMPIAR-11692 and Electron Microscopy Data Bank under accession numbers EMD-42074, EMD-42086, and EMD-42087.</p><p>The following datasets were generated:</p><p><element-citation publication-type="data" specific-use="isSupplementedBy" id="dataset1"><person-group person-group-type="author"><name><surname>Klupt</surname><given-names>S</given-names></name><name><surname>Fam</surname><given-names>KT</given-names></name><name><surname>Zhang</surname><given-names>X</given-names></name><name><surname>Chodisetti</surname><given-names>PK</given-names></name><name><surname>Mehmood</surname><given-names>A</given-names></name><name><surname>Boyd</surname><given-names>T</given-names></name><name><surname>Grotjahn</surname><given-names>D</given-names></name><name><surname>Park</surname><given-names>D</given-names></name><name><surname>Hang</surname><given-names>HC</given-names></name></person-group><year iso-8601-date="2024">2024</year><data-title>Cryo-electron tomography of Enterococcus faecium</data-title><source>Electron Microscopy Public Image Archive</source><pub-id pub-id-type="accession" xlink:href="https://www.ebi.ac.uk/empiar/EMPIAR-11692">EMPIAR-11692</pub-id></element-citation></p><p><element-citation publication-type="data" specific-use="isSupplementedBy" id="dataset2"><person-group person-group-type="author"><name><surname>Hang</surname><given-names>HC</given-names></name><name><surname>Park</surname><given-names>D</given-names></name></person-group><year iso-8601-date="2024">2024</year><data-title>Representative tomogram of Enterococcus faecium WT Com15</data-title><source>EMDataBank</source><pub-id pub-id-type="accession" xlink:href="https://www.ebi.ac.uk/emdb/EMD-42074">EMD-42074</pub-id></element-citation></p><p><element-citation publication-type="data" specific-use="isSupplementedBy" id="dataset3"><person-group person-group-type="author"><name><surname>Hang</surname><given-names>HC</given-names></name><name><surname>Park</surname><given-names>D</given-names></name></person-group><year iso-8601-date="2024">2024</year><data-title>Representative tomogram of Enterococcus faecium SagA complementation strain</data-title><source>EMDataBank</source><pub-id pub-id-type="accession" xlink:href="https://www.ebi.ac.uk/emdb/EMD-42086">EMD-42086</pub-id></element-citation></p><p><element-citation publication-type="data" specific-use="isSupplementedBy" id="dataset4"><person-group person-group-type="author"><name><surname>Hang</surname><given-names>HC</given-names></name><name><surname>Park</surname><given-names>D</given-names></name></person-group><year iso-8601-date="2024">2024</year><data-title>Representative tomogram of Enterococcus faecium SagA deletion strain</data-title><source>EMDataBank</source><pub-id pub-id-type="accession" xlink:href="https://www.ebi.ac.uk/emdb/EMD-42087">EMD-42087</pub-id></element-citation></p></sec><ack id="ack"><title>Acknowledgements</title><p>This project was funded by the National Institutes of Health R01 CA245292 grant to HCH and Scripps Research start-up funds to HCH and DP. AM was supported by David C Fairchild Endowed Fellowship to the Skaggs Graduate Program at Scripps Research. This work used equipment supported by NIH grant S10OD032467. We thank Victor Chen for guidance on RecT-mediated recombineering in <italic>E. faecium</italic>. 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assessment</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Turnbaugh</surname><given-names>Peter J</given-names></name><role specific-use="editor">Reviewing Editor</role><aff><institution>University of California, San Francisco</institution><country>United States</country></aff></contrib></contrib-group><kwd-group kwd-group-type="evidence-strength"><kwd>Compelling</kwd></kwd-group><kwd-group kwd-group-type="claim-importance"><kwd>Fundamental</kwd></kwd-group></front-stub><body><p>The authors build upon prior data implicating the secreted peptidoglycan hydrolase SagA produced by <italic>Enterococcus faecium</italic> in immunotherapy. Leveraging new strains with sagA deletion/complementation constructs, the investigators reveal that sagA is non-essential, with sagA deletion leading to a marked growth defect due to impaired cell division, and sagA being necessary for the immunogenic and anti-tumor effects of <italic>E. faecium</italic>. In aggregate, the study utilizes <bold>compelling</bold> methods to provide both <bold>fundamental</bold> new insights into <italic>E. faecium</italic> biology and host interactions and a proof-of-concept for identifying the bacterial effectors of immunotherapy response.</p></body></sub-article><sub-article article-type="referee-report" id="sa1"><front-stub><article-id pub-id-type="doi">10.7554/eLife.95297.3.sa1</article-id><title-group><article-title>Reviewer #1 (Public Review):</article-title></title-group><contrib-group><contrib contrib-type="author"><anonymous/><role specific-use="referee">Reviewer</role></contrib></contrib-group></front-stub><body><p>Klupt, Fam, Zhang, Hang and colleagues present a novel study examining the function of sagA in E. faecium, including impacts on growth, peptidoglycan cleavage, cell separation, antibiotic sensitivity, NOD2 activation and modulation of cancer immunotherapy. This manuscript represents a substantial advance over their prior work, where they found that sagA-expressing strains (including naturally-expressing strains and versions of non-expressing strains forced to overexpress sagA) were superior in activating NOD2 and improving cancer immunotherapy. Prior to the current study, an examination of sagA mutant E. faecium was not possible and sagA was thought to be an essential gene.</p><p>The study is overall very carefully performed with appropriate controls and experimental checks, including confirmation of similar densities of ΔsagA throughout. Results are overall interpreted cautiously and appropriately.</p></body></sub-article><sub-article article-type="author-comment" id="sa2"><front-stub><article-id pub-id-type="doi">10.7554/eLife.95297.3.sa2</article-id><title-group><article-title>Author response</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Klupt</surname><given-names>Steven</given-names></name><role specific-use="author">Author</role><aff><institution>Scripps Research Institute</institution><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Fam</surname><given-names>Kyong Tkhe</given-names></name><role specific-use="author">Author</role><aff><institution>Scripps Research Institute</institution><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Zhang</surname><given-names>Xing</given-names></name><role specific-use="author">Author</role><aff><institution>Scripps Research Institute</institution><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Chodisetti</surname><given-names>Pavan Kumar</given-names></name><role specific-use="author">Author</role><aff><institution>Scripps Research Institute</institution><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Mehmood</surname><given-names>Abeera</given-names></name><role specific-use="author">Author</role><aff><institution>Scripps Research Institute</institution><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Boyd</surname><given-names>Tumara</given-names></name><role specific-use="author">Author</role><aff><institution>Scripps Research Institute</institution><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Grotjahn</surname><given-names>Danielle</given-names></name><role specific-use="author">Author</role><aff><institution>The Scripps Research Institute</institution><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Park</surname><given-names>Donghyun</given-names></name><role specific-use="author">Author</role><aff><institution>The Scripps Research Institute</institution><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff></contrib><contrib contrib-type="author"><name><surname>Hang</surname><given-names>Howard C</given-names></name><role specific-use="author">Author</role><aff><institution>Scripps Research Institute</institution><addr-line><named-content content-type="city">La Jolla</named-content></addr-line><country>United States</country></aff></contrib></contrib-group></front-stub><body><p>The following is the authors’ response to the original reviews.</p><disp-quote content-type="editor-comment"><p><bold>eLife assessment</bold></p><p>The authors build upon prior data implicating the secreted peptidoglycan hydrolase SagA produced by Enterococcus faecium in immunotherapy. Leveraging new strains with sagA deletion/complementation constructs, the investigators reveal that sagA is non-essential, with sagA deletion leading to a marked growth defect due to impaired cell division, and sagA being necessary for the immunogenic and anti-tumor effects of E. faecium. In aggregate, the study utilizes compelling methods to provide both fundamental new insights into E. faecium biology and host interactions and a proof-of-concept for identifying the bacterial effectors of immunotherapy response.</p></disp-quote><p>We thank the Reviewers for their positive feedback on our manuscript. We also appreciate their helpful comments/critiques and have revised the manuscript as indicated below.</p><disp-quote content-type="editor-comment"><p><bold>Public Reviews:</bold></p><p><bold>Reviewer #1 (Public Review):</bold></p><p>Klupt, Fam, Zhang, Hang, and colleagues present a novel study examining the function of sagA in E. faecium, including impacts on growth, peptidoglycan cleavage, cell separation, antibiotic sensitivity, NOD2 activation, and modulation of cancer immunotherapy. This manuscript represents a substantial advance over their prior work, where they found that sagA-expressing strains (including naturally-expressing strains and versions of non-expressing strains forced to overexpress sagA) were superior in activating NOD2 and improving cancer immunotherapy. Prior to the current study, an examination of sagA mutant E. faecium was not possible and sagA was thought to be an essential gene.</p><p>The study is overall very carefully performed with appropriate controls and experimental checks, including confirmation of similar densities of ΔsagA throughout. Results are overall interpreted cautiously and appropriately.</p><p>I have only two comments that I think addressing would strengthen what is already an excellent manuscript.</p><p>In the experiments depicted in Figure 3, the authors should clarify the quantification of peptidoglycans from cellular material vs supernatants. It should also be clarified whether the sagA need to be expressed endogenously within E. faecium, and whether ambient endopeptidases (perhaps expressed by other nearby bacteria or recombinant enzymes added) can enzymatically work on ΔsagA cell wall products to produce NOD2 ligands?</p></disp-quote><p>We mentioned in the main text that peptidoglycan was isolated from bacterial sacculi and digested with mutanolysin for LC-MS analysis. We have now also included “mutanolysin-digested” sacculi in the Figure 3 legend as well.</p><p>We have added the following text “We next evaluated live bacterial cultures with mammalian cells to determine their ability to activate the peptidoglycan pattern recognition receptor NOD2” and “our analysis of these bacterial strains” to indicate live cultures were evaluated for NOD2 activation.</p><p>We have also added the following text “Our results also demonstrated that while many enzymes are required for the biosynthesis and remodeling of peptidoglycan in E. faecium, SagA is essential for generating NOD2 activating muropeptides ex vivo.”</p><disp-quote content-type="editor-comment"><p>In the murine experiments depicted in Figure 4, because the bacterial intervention is being performed continuously in the drinking water, the investigators have not distinguished between colonization vs continuous oral dosing of the mice peptidoglycans. While I do not think additional experimentation is required to distinguish the individual contributions of these 2 components in their therapeutic intervention, I do think the interpretation of their results should include this perspective.</p></disp-quote><p>We have added the following text “We note that by continuous oral administration in the drinking water, live E. faecium and soluble muropeptides that are released into the media during bacterial growth may both contribute to NOD2 activation in vivo.” and revised the following text “Nonetheless, these results demonstrate SagA is not essential for E. faecium colonization, but required for promoting the ICI antitumor activity through NOD2 in vivo.</p><disp-quote content-type="editor-comment"><p><bold>Reviewer #2 (Public Review):</bold></p><p>Summary:</p><p>The gut microbiome contributes to variation in the efficacy of immune checkpoint blockade in cancer therapy; however, the mechanisms responsible remain unclear. Klupt et al. build upon prior data implicating the secreted peptidoglycan hydrolase SagA produced by Enterococcus faecium in immunotherapy, leveraging novel strains with sagA deleted and complemented. They find that sagA is non-essential, but sagA deletion leads to a marked growth defect due to impaired cell division. Furthermore, sagA is necessary for the immunogenic and anti-tumor effects of E. faecium. Together, this study utilizes compelling methods to provide fundamental new insights into E. faecium biology and host interactions, and a proof-of-concept for identifying the bacterial effectors of immunotherapy response.</p><p>Strengths:</p><p>Klupt et al. provide a well-written manuscript with clear and compelling main and supplemental figures. The methods used are state-of-the-art, including various imaging modalities, bacterial genetics, mass spectrometry, sequencing, flow cytometry, and mouse models of immunotherapy response. Overall, the data supports the conclusions, which are a valuable addition to the literature.</p><p>Weaknesses:</p><p>Only minor revision recommendations were noted.</p><p><bold>Recommendations for the authors:</bold></p><p><bold>Reviewer #2 (Recommendations For The Authors):</bold></p><p>General comments - the number/type of replicates and statistics are missing from some of the figure panels. Please be sure to add these throughout - all main figure panels should have replicates. I've also noted some specific cases below.</p><p>Abstract - sagA is non-essential, need to edit text at &quot;essential functions&quot;.</p></disp-quote><p>This change has been made.</p><disp-quote content-type="editor-comment"><p>&quot;small number of mutations&quot; - specify how many in the text.</p></disp-quote><p>We revised the text. “Small number” is changed to “11”.</p><disp-quote content-type="editor-comment"><p>&quot;under control of its native promoter&quot; - what was the plasmid copy number? It looks clearly overexpressed in Figure 1d despite using a native promoter, although it's a bit hard to know for sure without a loading control.</p></disp-quote><p>pAM401 has p15A origin of replication, therefore the plasmid copy number ~20-30 copies (Lutz R. et al Nucleic Acids Res. 1997). Total protein was visualized by Stain-Free imaging technology (BioRad) and serves as protein loading control and has been relabeled accordingly.</p><disp-quote content-type="editor-comment"><p>&quot;decrease levels of small muropeptides&quot; - the asterisks are missing from Figure 3a.</p></disp-quote><p>Green asterisks for peaks 2, 3, 7 and purple asterisks for peaks 13, 14 were added.</p><disp-quote content-type="editor-comment"><p>The use of &quot;Com 15 WT&quot; in the figures is confusing - just replace it with &quot;wt&quot; and specify the strain in the text. Presumably, all of the strains are on the Com 15 background.</p></disp-quote><p>“Com15 WT” was replaced to “WT” in figures and main text.</p><disp-quote content-type="editor-comment"><p>Change 1d to 1b so that the panels are in order (reading left to right and then top to bottom).</p><p>Figure 1 legend is missing a number of replicates and statistics for 1a.</p></disp-quote><p>Number of replicates were added.</p><disp-quote content-type="editor-comment"><p>Figure 1b - it's unclear to me what to look at here, could add arrows indicating the feature or interest and expand the relevant text.</p></disp-quote><p>Arrows pointing to cell clusters were added.</p><disp-quote content-type="editor-comment"><p>Figure 1d - what is &quot;stain free&quot;? It would be preferable to show a loading control using an antibody against a constitutive protein to allow for normalization of the loading control.</p></disp-quote><p>Stain-Free Imaging technology (BioRad) utilizes gel-containing trihalo compound to make proteins fluorescent directly in the gel with a short photoactivation, allowing the immediate visualization of proteins at any point during electrophoresis and western blotting. Stain-Free total protein measurement serves as a reliable loading control comparable to Coomassie Blue Staining. This has been relabeled a “Total protein” in the Figure and Stain-free imaging technology is noted in the legend.</p><disp-quote content-type="editor-comment"><p>ED Figure 1 - representative of how many biological replicates?</p></disp-quote><p>Legends are updated.</p><disp-quote content-type="editor-comment"><p>ED Figure 2a - I would replace this with a table, it's not necessary to show the strip images. Also, please specify the number of replicates per group.</p></disp-quote><p>Additional Extended Data Table 2 was added.</p><disp-quote content-type="editor-comment"><p>ED Figure 2b - This data was not that convincing since the sagA KO has a marked growth defect and the time points are cut off too soon to know if growth would occur later. The MIC definition is potentially misleading. Should specific a % growth cutoff (i.e. &lt;10% of vehicle control) and the metric used (carrying capacity or AUC). Then assign MIC to the tested concentration, not a range. The empty vector also seems to impact MIC, which is concerning and complicates the interpretation. Specify the number of replicates and add statistics. Given these various concerns, I might suggest removing this figure, as it doesn't really add much to the story.</p></disp-quote><p>We appreciate this comment from the Reviewer, but believe this data is helpful for paper and have included longer time points for the growth data. The definition of MIC for ED Fig. 2b has been included in the legend.</p><disp-quote content-type="editor-comment"><p>Figure 2 - specify the type of replicate. Number of cells? Number of slices? Number of independent cultures?</p></disp-quote><p>For Cryo-ET experiments single bacterial cultures were prepared. Number of cells and slices for analysis are indicated in the legend. Legends are updated.</p><disp-quote content-type="editor-comment"><p>Figure 4e - missing the water group, was it measured?</p></disp-quote><p>Water (αPD-L1) group was not included in immune profiling of tumor infiltrating lymphocytes (TILs) experiment, as we have previously demonstrated limited impact on ICI anti-tumor activity and T cell activation in this setting (Griffin M et al Science 2021).</p><disp-quote content-type="editor-comment"><p>Figure 4d - is this media specific to your strains? If not, qPCR may be a better method using strain-specific primers.</p></disp-quote><p>Yes, HiCrome Enterococcus faecium agar plates (HIMEDIA 1580) are selective for Enterococcus species, moreover the agar is chromogenic allowing to identify E. faecium as yellow colonies among other Enterococcus species.</p></body></sub-article></article>