Putative Antimicrobial Peptides Within Bacterial Proteomes Affect Bacterial Predominance: A Network Analysis Perspective

The predominance of bacterial taxa in the gut, was examined in view of the putative antimicrobial peptide sequences (AMPs) within their proteomes. The working assumption was that compatible bacteria would share homology and thus immunity to their putative AMPs, while competing taxa would have dissim...

Full description

Saved in:

Bibliographic Details
Published in:	Frontiers in microbiology 2021-11, Vol.12, p.752674-752674
Main Authors:	Oulas, Anastasis, Zachariou, Margarita, Chasapis, Christos T., Tomazou, Marios, Ijaz, Umer Z., Schmartz, Georges Pierre, Spyrou, George M., Vlamis-Gardikas, Alexios
Format:	Article
Language:	eng
Subjects:	bacterial competition bioinformatics analysis interbacterial antagonism Microbiology network analysis putative antimicrobial peptides
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	The predominance of bacterial taxa in the gut, was examined in view of the putative antimicrobial peptide sequences (AMPs) within their proteomes. The working assumption was that compatible bacteria would share homology and thus immunity to their putative AMPs, while competing taxa would have dissimilarities in their proteome-hidden AMPs. A network–based method (“Bacterial Wars”) was developed to handle sequence similarities of predicted AMPs among UniProt -derived protein sequences from different bacterial taxa, while a resulting parameter (“ Die ” score) suggested which taxa would prevail in a defined microbiome. T he working hypothesis was examined by correlating the calculated Die scores, to the abundance of bacterial taxa from gut microbiomes from different states of health and disease. Eleven publicly available 16S rRNA datasets and a dataset from a full shotgun metagenomics served for the analysis. The overall conclusion was that AMPs encrypted within bacterial proteomes affected the predominance of bacterial taxa in chemospheres.
ISSN:	1664-302X 1664-302X