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PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains
BACKGROUND: Discerning genes crucial to antimicrobial resistance (AMR) mechanisms is becoming more and more important to accurately and swiftly identify AMR pathogenic strains. Pangenome-wide association studies (e.g. Scoary) identified numerous putative AMR genes. However, only a tiny proportion of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579557/ https://www.ncbi.nlm.nih.gov/pubmed/34758735 http://dx.doi.org/10.1186/s12859-021-04459-z |
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author | Her, Hsuan-Lin Lin, Po-Ting Wu, Yu-Wei |
author_facet | Her, Hsuan-Lin Lin, Po-Ting Wu, Yu-Wei |
author_sort | Her, Hsuan-Lin |
collection | PubMed |
description | BACKGROUND: Discerning genes crucial to antimicrobial resistance (AMR) mechanisms is becoming more and more important to accurately and swiftly identify AMR pathogenic strains. Pangenome-wide association studies (e.g. Scoary) identified numerous putative AMR genes. However, only a tiny proportion of the putative resistance genes are annotated by AMR databases or Gene Ontology. In addition, many putative resistance genes are of unknown function (termed hypothetical proteins). An annotation tool is crucially needed in order to reveal the functional organization of the resistome and expand our knowledge of the AMR gene repertoire. RESULTS: We developed an approach (PangenomeNet) for building co-functional networks from pan-genomes to infer functions for hypothetical genes. Using Escherichia coli as an example, we demonstrated that it is possible to build co-functional network from its pan-genome using co-inheritance, domain-sharing, and protein–protein-interaction information. The investigation of the network revealed that it fits the characteristics of biological networks and can be used for functional inferences. The subgraph consisting of putative meropenem resistance genes consists of clusters of stress response genes and resistance gene acquisition pathways. Resistome subgraphs also demonstrate drug-specific AMR genes such as beta-lactamase, as well as functional roles shared among multiple classes of drugs, mostly in the stress-related pathways. CONCLUSIONS: By demonstrating the idea of pan-genome-based co-functional network on the E. coli species, we showed that the network can infer functional roles of the genes, including those without functional annotations, and provides holistic views on the putative antimicrobial resistomes. We hope that the pan-genome network idea can help formulate hypothesis for targeted experimental works. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04459-z. |
format | Online Article Text |
id | pubmed-8579557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85795572021-11-10 PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains Her, Hsuan-Lin Lin, Po-Ting Wu, Yu-Wei BMC Bioinformatics Research BACKGROUND: Discerning genes crucial to antimicrobial resistance (AMR) mechanisms is becoming more and more important to accurately and swiftly identify AMR pathogenic strains. Pangenome-wide association studies (e.g. Scoary) identified numerous putative AMR genes. However, only a tiny proportion of the putative resistance genes are annotated by AMR databases or Gene Ontology. In addition, many putative resistance genes are of unknown function (termed hypothetical proteins). An annotation tool is crucially needed in order to reveal the functional organization of the resistome and expand our knowledge of the AMR gene repertoire. RESULTS: We developed an approach (PangenomeNet) for building co-functional networks from pan-genomes to infer functions for hypothetical genes. Using Escherichia coli as an example, we demonstrated that it is possible to build co-functional network from its pan-genome using co-inheritance, domain-sharing, and protein–protein-interaction information. The investigation of the network revealed that it fits the characteristics of biological networks and can be used for functional inferences. The subgraph consisting of putative meropenem resistance genes consists of clusters of stress response genes and resistance gene acquisition pathways. Resistome subgraphs also demonstrate drug-specific AMR genes such as beta-lactamase, as well as functional roles shared among multiple classes of drugs, mostly in the stress-related pathways. CONCLUSIONS: By demonstrating the idea of pan-genome-based co-functional network on the E. coli species, we showed that the network can infer functional roles of the genes, including those without functional annotations, and provides holistic views on the putative antimicrobial resistomes. We hope that the pan-genome network idea can help formulate hypothesis for targeted experimental works. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04459-z. BioMed Central 2021-11-10 /pmc/articles/PMC8579557/ /pubmed/34758735 http://dx.doi.org/10.1186/s12859-021-04459-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Her, Hsuan-Lin Lin, Po-Ting Wu, Yu-Wei PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains |
title | PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains |
title_full | PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains |
title_fullStr | PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains |
title_full_unstemmed | PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains |
title_short | PangenomeNet: a pan-genome-based network reveals functional modules on antimicrobial resistome for Escherichia coli strains |
title_sort | pangenomenet: a pan-genome-based network reveals functional modules on antimicrobial resistome for escherichia coli strains |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579557/ https://www.ncbi.nlm.nih.gov/pubmed/34758735 http://dx.doi.org/10.1186/s12859-021-04459-z |
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