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Jones et al. Microbiome Res Rep 2024;3:24                     Microbiome Research
               DOI: 10.20517/mrr.2023.78
                                                                                               Reports




               Original Article                                                              Open Access



               An exploratory in silico analysis of bacteriocin gene
               clusters in the urobiome


               Jennifer Jones  , Craig P. Murphy, Roy D. Sleator, Eamonn P. Culligan

               Department of Biological Sciences, Munster Technological University, Bishopstown, Cork T12 P928, Ireland.
               Correspondence to: Dr. Eamonn P. Culligan, Department of Biological Sciences, Munster Technological University, Bishopstown,
               Cork T12 P928, Ireland. E-mail: Eamonn.culligan@mtu.ie

               How to cite this article: Jones J, Murphy CP, Sleator RD, Culligan EP. An exploratory in silico analysis of bacteriocin gene clusters
               in the urobiome. Microbiome Res Rep 2024;3:24. https://dx.doi.org/10.20517/mrr.2023.78

               Received: 20 Dec 2023  First Decision: 26 Feb 2024  Revised: 4 Mar 2024  Accepted: 18 Mar 2024  Published: 27 Mar 2024

               Academic Editor: Leonardo Mancabelli  Copy Editor: Pei-Yun Wang  Production Editor: Pei-Yun Wang

               Abstract
               Background: The role of the urobiome in health and disease remains an understudied area compared to the rest of
               the human microbiome. Enhanced culturing techniques and next-generation sequencing technologies have
               identified the urobiome as an untapped source of potentially novel antimicrobials. The aim of this study was to
               screen the urobiome for genes encoding bacteriocin production.

               Methods: The genomes of 181 bacterial urobiome isolates were screened in silico for the presence of bacteriocin
               gene clusters using the bacteriocin mining tool BAGEL4 and secondary metabolite screening tool antiSMASH7.

               Results: From these isolates, an initial 263 areas of interest were identified, manually annotated, and evaluated for
               potential bacteriocin gene clusters. This resulted in 32 isolates containing 80 potential bacteriocin gene clusters, of
               which 72% were identified as class II, 13.75% as class III, 8.75% as class I, and 5% as unclassified bacteriocins.

               Conclusion: Overall, 53 novel variants were discovered, including nisin, gassericin, ubericin, and colicins.

               Keywords: Urobiome, bacteriocins, antibiotic resistance, BAGEL4, bacteriocin gene cluster



               INTRODUCTION
               The human microbiome and its role in health and disease have been at the forefront of scientific research in






                           © The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0
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