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In Silico Characterisation of Putative Prophages in Lactobacillaceae Used in Probiotics for Vaginal Health
While live biotherapeutics offer a promising approach to optimizing vaginal microbiota, the presence of functional prophages within introduced strains could impact their safety and efficacy. We evaluated the presence of prophages in 895 publicly available genomes using Phaster, Phigaro, Phispy, Prop...
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Published in: | Microorganisms (Basel) 2022-01, Vol.10 (2), p.214 |
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description | While live biotherapeutics offer a promising approach to optimizing vaginal microbiota, the presence of functional prophages within introduced
strains could impact their safety and efficacy. We evaluated the presence of prophages in 895 publicly available
genomes using Phaster, Phigaro, Phispy, Prophet and Virsorter. Prophages were identified according to stringent (detected by ≥4 methods) or lenient criteria (detected by ≥2 methods), both with >80% reciprocal sequence overlap. The stringent approach identified 448 prophages within 359 genomes, with 40.1% genomes harbouring at least one prophage, while the lenient approach identified 1671 prophages within 83.7% of the genomes. To confirm our in silico estimates in vitro, we tested for inducible prophages in 57 vaginally-derived and commercial
isolates and found inducible prophages in 61.4% of the isolates. We characterised the in silico predicted prophages based on weighted gene repertoire relatedness and found that most belonged to the
or
families. ResFam and eggNOG identified four potential antimicrobial resistance genes within the predicted prophages. Our results suggest that while
prophages seldomly carry clinically concerning genes and thus unlikely a pose a direct risk to human vaginal microbiomes, their high prevalence warrants the characterisation of
prophages in live biotherapeutics. |
doi_str_mv | 10.3390/microorganisms10020214 |
format | article |
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strains could impact their safety and efficacy. We evaluated the presence of prophages in 895 publicly available
genomes using Phaster, Phigaro, Phispy, Prophet and Virsorter. Prophages were identified according to stringent (detected by ≥4 methods) or lenient criteria (detected by ≥2 methods), both with >80% reciprocal sequence overlap. The stringent approach identified 448 prophages within 359 genomes, with 40.1% genomes harbouring at least one prophage, while the lenient approach identified 1671 prophages within 83.7% of the genomes. To confirm our in silico estimates in vitro, we tested for inducible prophages in 57 vaginally-derived and commercial
isolates and found inducible prophages in 61.4% of the isolates. We characterised the in silico predicted prophages based on weighted gene repertoire relatedness and found that most belonged to the
or
families. ResFam and eggNOG identified four potential antimicrobial resistance genes within the predicted prophages. Our results suggest that while
prophages seldomly carry clinically concerning genes and thus unlikely a pose a direct risk to human vaginal microbiomes, their high prevalence warrants the characterisation of
prophages in live biotherapeutics.</description><identifier>ISSN: 2076-2607</identifier><identifier>EISSN: 2076-2607</identifier><identifier>DOI: 10.3390/microorganisms10020214</identifier><identifier>PMID: 35208669</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Algorithms ; antibiotic resistant genes ; Antibiotics ; Antimicrobial resistance ; Bacteria ; Bacteriology ; bacteriophages ; Datasets ; Genes ; genital ; Genomes ; Gynecology and obstetrics ; Human health and pathology ; Infectious diseases ; Lactobacillaceae ; Life Sciences ; Microbiology and Parasitology ; Microbiomes ; Microbiota ; Probiotics ; Prophages ; Proteins ; Santé publique et épidémiologie ; Vagina ; Virulence ; virulence factor</subject><ispartof>Microorganisms (Basel), 2022-01, Vol.10 (2), p.214</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c542t-c1593531b2512a10dfd85cd16e8024d72df44631b68ad53b0f810b2bf141b6fd3</citedby><cites>FETCH-LOGICAL-c542t-c1593531b2512a10dfd85cd16e8024d72df44631b68ad53b0f810b2bf141b6fd3</cites><orcidid>0000-0001-8234-1308 ; 0000-0002-0745-6073 ; 0000-0003-3658-8638 ; 0000-0003-4111-2415</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2633027278/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2633027278?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35208669$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.umontpellier.fr/hal-03539275$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Happel, Anna-Ursula</creatorcontrib><creatorcontrib>Kullin, Brian R</creatorcontrib><creatorcontrib>Gamieldien, Hoyam</creatorcontrib><creatorcontrib>Jaspan, Heather B</creatorcontrib><creatorcontrib>Varsani, Arvind</creatorcontrib><creatorcontrib>Martin, Darren</creatorcontrib><creatorcontrib>Passmore, Jo-Ann S</creatorcontrib><creatorcontrib>Froissart, Rémy</creatorcontrib><title>In Silico Characterisation of Putative Prophages in Lactobacillaceae Used in Probiotics for Vaginal Health</title><title>Microorganisms (Basel)</title><addtitle>Microorganisms</addtitle><description>While live biotherapeutics offer a promising approach to optimizing vaginal microbiota, the presence of functional prophages within introduced
strains could impact their safety and efficacy. We evaluated the presence of prophages in 895 publicly available
genomes using Phaster, Phigaro, Phispy, Prophet and Virsorter. Prophages were identified according to stringent (detected by ≥4 methods) or lenient criteria (detected by ≥2 methods), both with >80% reciprocal sequence overlap. The stringent approach identified 448 prophages within 359 genomes, with 40.1% genomes harbouring at least one prophage, while the lenient approach identified 1671 prophages within 83.7% of the genomes. To confirm our in silico estimates in vitro, we tested for inducible prophages in 57 vaginally-derived and commercial
isolates and found inducible prophages in 61.4% of the isolates. We characterised the in silico predicted prophages based on weighted gene repertoire relatedness and found that most belonged to the
or
families. ResFam and eggNOG identified four potential antimicrobial resistance genes within the predicted prophages. Our results suggest that while
prophages seldomly carry clinically concerning genes and thus unlikely a pose a direct risk to human vaginal microbiomes, their high prevalence warrants the characterisation of
prophages in live biotherapeutics.</description><subject>Algorithms</subject><subject>antibiotic resistant genes</subject><subject>Antibiotics</subject><subject>Antimicrobial resistance</subject><subject>Bacteria</subject><subject>Bacteriology</subject><subject>bacteriophages</subject><subject>Datasets</subject><subject>Genes</subject><subject>genital</subject><subject>Genomes</subject><subject>Gynecology and obstetrics</subject><subject>Human health and pathology</subject><subject>Infectious diseases</subject><subject>Lactobacillaceae</subject><subject>Life Sciences</subject><subject>Microbiology and Parasitology</subject><subject>Microbiomes</subject><subject>Microbiota</subject><subject>Probiotics</subject><subject>Prophages</subject><subject>Proteins</subject><subject>Santé publique et épidémiologie</subject><subject>Vagina</subject><subject>Virulence</subject><subject>virulence factor</subject><issn>2076-2607</issn><issn>2076-2607</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkk1rGzEQhpfS0oQ0fyEIemkPTvWx0kqXQjBtbTA00KZXodWHV2a9cqVdQ_99x90kJKG6aJh55tXMaKrqiuBrxhT-tI82p5S3ZohlXwjGFFNSv6rOKW7EggrcvH5in1WXpewwHEWY5ORtdcY4xVIIdV7t1gP6EftoE1p2Jhs7-hyLGWMaUArodhrBPnp0m9OhM1tfUBzQBrDUGhv73lhvPLor3p0CQLUxjdEWFFJGv8w2DqZHK2_6sXtXvQmmL_7y_r6o7r5--blcLTbfv62XN5uF5TUdF5ZwxTgjLeWEGoJdcJJbR4SXmNauoS7UtYC4kMZx1uIgCW5pG0gNvuDYRbWedV0yO33IcW_yH51M1P8cMDdtMtTYe42tq30rPA6iqRnjkiuuSGiJYoIJ7kHr86x1mNq9d9YPYzb9M9HnkSF2epuOWspGESJA4OMs0L1IW91s9MmHoVdFG34kwH64fyyn35Mvo97HYj0MefBpKpoKBv8npWKAvn-B7tKUYdYzhWlDGwmUmClYl1KyD48VEKxPm6T_v0mQePW07ce0h71hfwF85Mfq</recordid><startdate>20220120</startdate><enddate>20220120</enddate><creator>Happel, Anna-Ursula</creator><creator>Kullin, Brian R</creator><creator>Gamieldien, Hoyam</creator><creator>Jaspan, Heather B</creator><creator>Varsani, Arvind</creator><creator>Martin, Darren</creator><creator>Passmore, Jo-Ann S</creator><creator>Froissart, Rémy</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T7</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>P64</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-8234-1308</orcidid><orcidid>https://orcid.org/0000-0002-0745-6073</orcidid><orcidid>https://orcid.org/0000-0003-3658-8638</orcidid><orcidid>https://orcid.org/0000-0003-4111-2415</orcidid></search><sort><creationdate>20220120</creationdate><title>In Silico Characterisation of Putative Prophages in Lactobacillaceae Used in Probiotics for Vaginal Health</title><author>Happel, Anna-Ursula ; 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strains could impact their safety and efficacy. We evaluated the presence of prophages in 895 publicly available
genomes using Phaster, Phigaro, Phispy, Prophet and Virsorter. Prophages were identified according to stringent (detected by ≥4 methods) or lenient criteria (detected by ≥2 methods), both with >80% reciprocal sequence overlap. The stringent approach identified 448 prophages within 359 genomes, with 40.1% genomes harbouring at least one prophage, while the lenient approach identified 1671 prophages within 83.7% of the genomes. To confirm our in silico estimates in vitro, we tested for inducible prophages in 57 vaginally-derived and commercial
isolates and found inducible prophages in 61.4% of the isolates. We characterised the in silico predicted prophages based on weighted gene repertoire relatedness and found that most belonged to the
or
families. ResFam and eggNOG identified four potential antimicrobial resistance genes within the predicted prophages. Our results suggest that while
prophages seldomly carry clinically concerning genes and thus unlikely a pose a direct risk to human vaginal microbiomes, their high prevalence warrants the characterisation of
prophages in live biotherapeutics.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>35208669</pmid><doi>10.3390/microorganisms10020214</doi><orcidid>https://orcid.org/0000-0001-8234-1308</orcidid><orcidid>https://orcid.org/0000-0002-0745-6073</orcidid><orcidid>https://orcid.org/0000-0003-3658-8638</orcidid><orcidid>https://orcid.org/0000-0003-4111-2415</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms antibiotic resistant genes Antibiotics Antimicrobial resistance Bacteria Bacteriology bacteriophages Datasets Genes genital Genomes Gynecology and obstetrics Human health and pathology Infectious diseases Lactobacillaceae Life Sciences Microbiology and Parasitology Microbiomes Microbiota Probiotics Prophages Proteins Santé publique et épidémiologie Vagina Virulence virulence factor |
title | In Silico Characterisation of Putative Prophages in Lactobacillaceae Used in Probiotics for Vaginal Health |
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