Plasmidome-Driven Potential Pathogenic Adaptation in Helicobacter pylori and Identification of a Novel Putative Toxin--Antitoxin System

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Plasmidome-Driven Potential Pathogenic Adaptation in Helicobacter pylori and Identification of a Novel Putative Toxin--Antitoxin System | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 5 May 2025 V1 Latest version Share on Plasmidome-Driven Potential Pathogenic Adaptation in Helicobacter pylori and Identification of a Novel Putative Toxin--Antitoxin System Authors : Bradd Mendoza-Guido 0009-0005-3214-4599 [email protected] , Juan D. Romero-Carpio , and Silvia Molina-Castro Authors Info & Affiliations https://doi.org/10.22541/au.174644890.01834700/v1 156 views 96 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Helicobacter pylori is a significant human pathogen associated with gastric diseases, yet the contribution of plasmids in its pathogenicity remains largely unexplored. In this study, we combined plasmid network analysis, dereplication, functional annotation and phylogenetic approaches to provide a comprehensive genomic and functional characterization of the H. pylori plasmidome using publicly available plasmid sequences. Of 322 plasmids analyzed, we identified 158 high-confidence plasmid sequences, representing 76 non-redundant plasmids. Notably, several sequences previously annotated as plasmids were reclassified as Integrative and Conjugative Elements (ICEs). NR-plasmids were enriched in genes encoding Filamentation induced by cAMP (Fic) family proteins, which clustered into two distinct phylogenetic groups. Conserved motif analysis suggests that these two Fic proteins types may form a novel toxin-antitoxin (TA) system, with Type-2 proteins potentially suppressing Type-1 activity, analogous to the TA mechanism described in Campylobacter fetus subsp. venerealis . Additionally, we identified genes encoding ABC and MFS efflux pumps, as well as the virulence-associated protein VapD, which may contribute to antimicrobial resistance and host colonization, respectively. Our findings reveal the genomic and functional diversity of the H. pylori plasmidome and highlight the need for experimental validation to clarify its role in pathogenicity, antimicrobial resistance, and bacterial adaptation. Supplementary Material File (mendoza_et_al_jbm_2025.docx) Download 1.63 MB Information & Authors Information Version history V1 Version 1 05 May 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords antibiotic resistance fic proteins plasmid addiction plasmid evolution toxin-antitoxin Authors Affiliations Bradd Mendoza-Guido 0009-0005-3214-4599 [email protected] Universidad de Costa Rica View all articles by this author Juan D. Romero-Carpio Universidad de Costa Rica View all articles by this author Silvia Molina-Castro Universidad de Costa Rica View all articles by this author Metrics & Citations Metrics Article Usage 156 views 96 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Bradd Mendoza-Guido, Juan D. Romero-Carpio, Silvia Molina-Castro. Plasmidome-Driven Potential Pathogenic Adaptation in Helicobacter pylori and Identification of a Novel Putative Toxin--Antitoxin System. Authorea . 05 May 2025. DOI: https://doi.org/10.22541/au.174644890.01834700/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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