In Vitro and In Silico Based Approaches to Identify Potential Novel Bacteriocins from the Athlete Gut Microbiome of an Elite Athlete Cohort

Exercise reduces inflammation, fatigue, and aids overall health. Additionally, physical fitness has been associated with desirable changes in the community composition of the athlete gut microbiome, with health-associated taxa being shown to be increased in active individuals. Here, using a combinat...

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Main Authors: Laura Wosinska, Calum J. Walsh, Paula M. O’Connor, Elaine M. Lawton, Paul D. Cotter, Caitriona M. Guinane, Orla O’Sullivan
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Microorganisms
Subjects:
Online Access:https://www.mdpi.com/2076-2607/10/4/701
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author Laura Wosinska
Calum J. Walsh
Paula M. O’Connor
Elaine M. Lawton
Paul D. Cotter
Caitriona M. Guinane
Orla O’Sullivan
author_facet Laura Wosinska
Calum J. Walsh
Paula M. O’Connor
Elaine M. Lawton
Paul D. Cotter
Caitriona M. Guinane
Orla O’Sullivan
author_sort Laura Wosinska
collection DOAJ
description Exercise reduces inflammation, fatigue, and aids overall health. Additionally, physical fitness has been associated with desirable changes in the community composition of the athlete gut microbiome, with health-associated taxa being shown to be increased in active individuals. Here, using a combination of in silico and in vitro methods, we investigate the antimicrobial activity of the athlete gut microbiome. In vitro approaches resulted in the generation of 284 gut isolates with inhibitory activity against <i>Clostridioides difficile</i> and/or <i>Fusobacterium nucleatum,</i> and the most potent isolates were further characterized, and potential bacteriocins were predicted using both MALDI-TOF MS and whole-genome sequencing. Additionally, metagenomic reads from the faecal samples were used to recover 770 Metagenome Assembled Genomes (MAGs), of which 148 were assigned to be high-quality MAGs and screened for the presence of putative bacteriocin gene clusters using BAGEL4 software, with 339 gene clusters of interest being identified. Class I was the most abundant bacteriocin class predicted, accounting for 91.3% of predictions, Class III had a predicted abundance of 7.5%, and Class II was represented by just 1% of all predictions.
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spelling doaj.art-e49a748524ec47c395240c068c720ff62023-12-03T13:44:40ZengMDPI AGMicroorganisms2076-26072022-03-0110470110.3390/microorganisms10040701In Vitro and In Silico Based Approaches to Identify Potential Novel Bacteriocins from the Athlete Gut Microbiome of an Elite Athlete CohortLaura Wosinska0Calum J. Walsh1Paula M. O’Connor2Elaine M. Lawton3Paul D. Cotter4Caitriona M. Guinane5Orla O’Sullivan6Department of Biological Sciences, Munster Technological University, Cork Campus, T12 P928 Cork, IrelandTeagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, IrelandTeagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, IrelandTeagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, IrelandTeagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, IrelandDepartment of Biological Sciences, Munster Technological University, Cork Campus, T12 P928 Cork, IrelandTeagasc Food Research Centre, Moorepark, Fermoy, P61 C996 Cork, IrelandExercise reduces inflammation, fatigue, and aids overall health. Additionally, physical fitness has been associated with desirable changes in the community composition of the athlete gut microbiome, with health-associated taxa being shown to be increased in active individuals. Here, using a combination of in silico and in vitro methods, we investigate the antimicrobial activity of the athlete gut microbiome. In vitro approaches resulted in the generation of 284 gut isolates with inhibitory activity against <i>Clostridioides difficile</i> and/or <i>Fusobacterium nucleatum,</i> and the most potent isolates were further characterized, and potential bacteriocins were predicted using both MALDI-TOF MS and whole-genome sequencing. Additionally, metagenomic reads from the faecal samples were used to recover 770 Metagenome Assembled Genomes (MAGs), of which 148 were assigned to be high-quality MAGs and screened for the presence of putative bacteriocin gene clusters using BAGEL4 software, with 339 gene clusters of interest being identified. Class I was the most abundant bacteriocin class predicted, accounting for 91.3% of predictions, Class III had a predicted abundance of 7.5%, and Class II was represented by just 1% of all predictions.https://www.mdpi.com/2076-2607/10/4/701bacteriocinsmicrobiomeantimicrobial-peptidesathletesin vitroin silico
spellingShingle Laura Wosinska
Calum J. Walsh
Paula M. O’Connor
Elaine M. Lawton
Paul D. Cotter
Caitriona M. Guinane
Orla O’Sullivan
In Vitro and In Silico Based Approaches to Identify Potential Novel Bacteriocins from the Athlete Gut Microbiome of an Elite Athlete Cohort
Microorganisms
bacteriocins
microbiome
antimicrobial-peptides
athletes
in vitro
in silico
title In Vitro and In Silico Based Approaches to Identify Potential Novel Bacteriocins from the Athlete Gut Microbiome of an Elite Athlete Cohort
title_full In Vitro and In Silico Based Approaches to Identify Potential Novel Bacteriocins from the Athlete Gut Microbiome of an Elite Athlete Cohort
title_fullStr In Vitro and In Silico Based Approaches to Identify Potential Novel Bacteriocins from the Athlete Gut Microbiome of an Elite Athlete Cohort
title_full_unstemmed In Vitro and In Silico Based Approaches to Identify Potential Novel Bacteriocins from the Athlete Gut Microbiome of an Elite Athlete Cohort
title_short In Vitro and In Silico Based Approaches to Identify Potential Novel Bacteriocins from the Athlete Gut Microbiome of an Elite Athlete Cohort
title_sort in vitro and in silico based approaches to identify potential novel bacteriocins from the athlete gut microbiome of an elite athlete cohort
topic bacteriocins
microbiome
antimicrobial-peptides
athletes
in vitro
in silico
url https://www.mdpi.com/2076-2607/10/4/701
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