Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome

Abstract Bacteria use carbohydrate-binding proteins (CBPs), such as lectins and carbohydrate-binding modules (CBMs), to anchor to specific sugars on host surfaces. CBPs in the gut microbiome are well studied, but their roles in the vagina microbiome and involvement in sexually transmitted infections...

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Autores principales:	François Bonnardel , Stuart M. Haslam, Anne Dell, Ten Feizi, Yan Liu, Virginia Tajadura-Ortega, Yukie Akune, Lynne Sykes, Phillip R. Bennett, David A. MacIntyre, Frédérique Lisacek, Anne Imberty
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Microbial ecology QR100-130
Acceso en línea:	https://doaj.org/article/10f92abe1aad492aa4fdca310a4ddfcd
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spelling	oai:doaj.org-article:10f92abe1aad492aa4fdca310a4ddfcd2021-12-02T16:04:23ZProteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome10.1038/s41522-021-00220-92055-5008https://doaj.org/article/10f92abe1aad492aa4fdca310a4ddfcd2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41522-021-00220-9https://doaj.org/toc/2055-5008Abstract Bacteria use carbohydrate-binding proteins (CBPs), such as lectins and carbohydrate-binding modules (CBMs), to anchor to specific sugars on host surfaces. CBPs in the gut microbiome are well studied, but their roles in the vagina microbiome and involvement in sexually transmitted infections, cervical cancer and preterm birth are largely unknown. We established a classification system for lectins and designed Hidden Markov Model (HMM) profiles for data mining of bacterial genomes, resulting in identification of >100,000 predicted bacterial lectins available at unilectin.eu/bacteria. Genome screening of 90 isolates from 21 vaginal bacterial species shows that those associated with infection and inflammation produce a larger CBPs repertoire, thus enabling them to potentially bind a wider array of glycans in the vagina. Both the number of predicted bacterial CBPs and their specificities correlated with pathogenicity. This study provides new insights into potential mechanisms of colonisation by commensals and potential pathogens of the reproductive tract that underpin health and disease states.François Bonnardel Stuart M. HaslamAnne DellTen FeiziYan LiuVirginia Tajadura-OrtegaYukie AkuneLynne SykesPhillip R. BennettDavid A. MacIntyreFrédérique LisacekAnne ImbertyNature PortfolioarticleMicrobial ecologyQR100-130ENnpj Biofilms and Microbiomes, Vol 7, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Microbial ecology QR100-130
spellingShingle	Microbial ecology QR100-130 François Bonnardel Stuart M. Haslam Anne Dell Ten Feizi Yan Liu Virginia Tajadura-Ortega Yukie Akune Lynne Sykes Phillip R. Bennett David A. MacIntyre Frédérique Lisacek Anne Imberty Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome
description	Abstract Bacteria use carbohydrate-binding proteins (CBPs), such as lectins and carbohydrate-binding modules (CBMs), to anchor to specific sugars on host surfaces. CBPs in the gut microbiome are well studied, but their roles in the vagina microbiome and involvement in sexually transmitted infections, cervical cancer and preterm birth are largely unknown. We established a classification system for lectins and designed Hidden Markov Model (HMM) profiles for data mining of bacterial genomes, resulting in identification of >100,000 predicted bacterial lectins available at unilectin.eu/bacteria. Genome screening of 90 isolates from 21 vaginal bacterial species shows that those associated with infection and inflammation produce a larger CBPs repertoire, thus enabling them to potentially bind a wider array of glycans in the vagina. Both the number of predicted bacterial CBPs and their specificities correlated with pathogenicity. This study provides new insights into potential mechanisms of colonisation by commensals and potential pathogens of the reproductive tract that underpin health and disease states.
format	article
author	François Bonnardel Stuart M. Haslam Anne Dell Ten Feizi Yan Liu Virginia Tajadura-Ortega Yukie Akune Lynne Sykes Phillip R. Bennett David A. MacIntyre Frédérique Lisacek Anne Imberty
author_facet	François Bonnardel Stuart M. Haslam Anne Dell Ten Feizi Yan Liu Virginia Tajadura-Ortega Yukie Akune Lynne Sykes Phillip R. Bennett David A. MacIntyre Frédérique Lisacek Anne Imberty
author_sort	François Bonnardel
title	Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome
title_short	Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome
title_full	Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome
title_fullStr	Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome
title_full_unstemmed	Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome
title_sort	proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/10f92abe1aad492aa4fdca310a4ddfcd
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Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome

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