Imperial College London
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Professor David MacIntyre

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Professor in Reproduction Systems Medicine
 
 
 
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Contact

 

+44 (0)20 7594 2195d.macintyre Website

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bonnardel:2021:10.1038/s41522-021-00220-9,
author = {Bonnardel, F and Haslam, SM and Dell, A and Feizi, T and Liu, Y and Tajadura-Ortega, V and Akune, Y and Sykes, L and Bennett, PR and MacIntyre, DA and Lisacek, F and Imberty, A},
doi = {10.1038/s41522-021-00220-9},
journal = {npj Biofilms and Microbiomes},
pages = {1--10},
title = {Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome},
url = {http://dx.doi.org/10.1038/s41522-021-00220-9},
volume = {7},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Bonnardel,F
AU  - Haslam,SM
AU  - Dell,A
AU  - Feizi,T
AU  - Liu,Y
AU  - Tajadura-Ortega,V
AU  - Akune,Y
AU  - Sykes,L
AU  - Bennett,PR
AU  - MacIntyre,DA
AU  - Lisacek,F
AU  - Imberty,A
DO  - 10.1038/s41522-021-00220-9
EP  - 10
PY  - 2021///
SN  - 2055-5008
SP  - 1
TI  - Proteome-wide prediction of bacterial carbohydrate-binding proteins as a tool for understanding commensal and pathogen colonisation of the vaginal microbiome
T2  - npj Biofilms and Microbiomes
UR  - http://dx.doi.org/10.1038/s41522-021-00220-9
UR  - https://www.nature.com/articles/s41522-021-00220-9
UR  - http://hdl.handle.net/10044/1/89708
VL  - 7
ER  -
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