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 |
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File | Description | Size | Format | |
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fmicb-12-752674.pdf | 6,62 MB | Adobe PDF | View/Open |
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