Please use this identifier to cite or link to this item: doi:10.22028/D291-46263
Title: Putative Antimicrobial Peptides Within Bacterial Proteomes Affect Bacterial Predominance: A Network Analysis Perspective
Author(s): Oulas, Anastasis
Zachariou, Margarita
Chasapis, Christos T.
Tomazou, Marios
Ijaz, Umer Z.
Schmartz, Georges Pierre
Spyrou, George M.
Vlamis-Gardikas, Alexios
Language: English
Title: Frontiers in Microbiology
Volume: 12
Publisher/Platform: Frontiers
Year of Publication: 2021
Free key words: putative antimicrobial peptides
interbacterial antagonism
network analysis
bioinformatics analysis
bacterial competition
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: 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. The 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.
DOI of the first publication: 10.3389/fmicb.2021.752674
URL of the first publication: https://doi.org/10.3389/fmicb.2021.752674
Link to this record: urn:nbn:de:bsz:291--ds-462636
hdl:20.500.11880/40555
http://dx.doi.org/10.22028/D291-46263
ISSN: 1664-302X
Date of registration: 11-Sep-2025
Description of the related object: Supplementary Material
Related object: https://www.frontiersin.org/articles/10.3389/fmicb.2021.752674/full#supplementary-material
Faculty: M - Medizinische Fakultät
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
File Description SizeFormat 
fmicb-12-752674.pdf6,62 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons