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Comparative analysis reveals the Genomic Islands in Pasteurella multocida population genetics: on Symbiosis and adaptability
BACKGROUND: Pasteurella multocida (P. multocida) is a widespread opportunistic pathogen that infects human and various animals. Genomic Islands (GIs) are one of the most important mobile components that quickly help bacteria acquire large fragments of foreign genes. However, the effects of GIs on P....
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339346/ https://www.ncbi.nlm.nih.gov/pubmed/30658579 http://dx.doi.org/10.1186/s12864-018-5366-6 |
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author | Zhu, Dekang He, Jiao Yang, Zhishuang Wang, Mingshu Jia, Renyong Chen, Shun Liu, Mafeng Zhao, Xinxin Yang, Qiao Wu, Ying Zhang, Shaqiu Liu, Yunya Zhang, Ling Yu, Yanling You, Yu Chen, Xiaoyue Cheng, Anchun |
author_facet | Zhu, Dekang He, Jiao Yang, Zhishuang Wang, Mingshu Jia, Renyong Chen, Shun Liu, Mafeng Zhao, Xinxin Yang, Qiao Wu, Ying Zhang, Shaqiu Liu, Yunya Zhang, Ling Yu, Yanling You, Yu Chen, Xiaoyue Cheng, Anchun |
author_sort | Zhu, Dekang |
collection | PubMed |
description | BACKGROUND: Pasteurella multocida (P. multocida) is a widespread opportunistic pathogen that infects human and various animals. Genomic Islands (GIs) are one of the most important mobile components that quickly help bacteria acquire large fragments of foreign genes. However, the effects of GIs on P. multocida are unknown in the evolution of bacterial populations. RESULTS: Ten avian-sourced P. multocida obtained through high-throughput sequencing together with 104 publicly available P. multocida genomes were used to analyse their population genetics, thus constructed a pan-genome containing 3948 protein-coding genes. Through the pan-genome, the open evolutionary pattern of P. multocida was revealed, and the functional components of 944 core genes, 2439 accessory genes and 565 unique genes were analysed. In addition, a total of 280 GIs were predicted in all strains. Combined with the pan-genome of P. multocida, the GIs accounted for 5.8% of the core genes in the pan-genome, mainly related to functional metabolic activities; the accessory genes accounted for 42.3%, mainly for the enrichment of adaptive genes; and the unique genes accounted for 35.4%, containing some defence mechanism-related genes. CONCLUSIONS: The effects of GIs on the population genetics of P. multocida evolution and adaptation to the environment are reflected by the proportion and function of the pan-genome acquired from GIs, and the large quantities of GI data will aid in additional population genetics studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5366-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6339346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63393462019-01-23 Comparative analysis reveals the Genomic Islands in Pasteurella multocida population genetics: on Symbiosis and adaptability Zhu, Dekang He, Jiao Yang, Zhishuang Wang, Mingshu Jia, Renyong Chen, Shun Liu, Mafeng Zhao, Xinxin Yang, Qiao Wu, Ying Zhang, Shaqiu Liu, Yunya Zhang, Ling Yu, Yanling You, Yu Chen, Xiaoyue Cheng, Anchun BMC Genomics Research Article BACKGROUND: Pasteurella multocida (P. multocida) is a widespread opportunistic pathogen that infects human and various animals. Genomic Islands (GIs) are one of the most important mobile components that quickly help bacteria acquire large fragments of foreign genes. However, the effects of GIs on P. multocida are unknown in the evolution of bacterial populations. RESULTS: Ten avian-sourced P. multocida obtained through high-throughput sequencing together with 104 publicly available P. multocida genomes were used to analyse their population genetics, thus constructed a pan-genome containing 3948 protein-coding genes. Through the pan-genome, the open evolutionary pattern of P. multocida was revealed, and the functional components of 944 core genes, 2439 accessory genes and 565 unique genes were analysed. In addition, a total of 280 GIs were predicted in all strains. Combined with the pan-genome of P. multocida, the GIs accounted for 5.8% of the core genes in the pan-genome, mainly related to functional metabolic activities; the accessory genes accounted for 42.3%, mainly for the enrichment of adaptive genes; and the unique genes accounted for 35.4%, containing some defence mechanism-related genes. CONCLUSIONS: The effects of GIs on the population genetics of P. multocida evolution and adaptation to the environment are reflected by the proportion and function of the pan-genome acquired from GIs, and the large quantities of GI data will aid in additional population genetics studies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5366-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-01-18 /pmc/articles/PMC6339346/ /pubmed/30658579 http://dx.doi.org/10.1186/s12864-018-5366-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zhu, Dekang He, Jiao Yang, Zhishuang Wang, Mingshu Jia, Renyong Chen, Shun Liu, Mafeng Zhao, Xinxin Yang, Qiao Wu, Ying Zhang, Shaqiu Liu, Yunya Zhang, Ling Yu, Yanling You, Yu Chen, Xiaoyue Cheng, Anchun Comparative analysis reveals the Genomic Islands in Pasteurella multocida population genetics: on Symbiosis and adaptability |
title | Comparative analysis reveals the Genomic Islands in Pasteurella multocida population genetics: on Symbiosis and adaptability |
title_full | Comparative analysis reveals the Genomic Islands in Pasteurella multocida population genetics: on Symbiosis and adaptability |
title_fullStr | Comparative analysis reveals the Genomic Islands in Pasteurella multocida population genetics: on Symbiosis and adaptability |
title_full_unstemmed | Comparative analysis reveals the Genomic Islands in Pasteurella multocida population genetics: on Symbiosis and adaptability |
title_short | Comparative analysis reveals the Genomic Islands in Pasteurella multocida population genetics: on Symbiosis and adaptability |
title_sort | comparative analysis reveals the genomic islands in pasteurella multocida population genetics: on symbiosis and adaptability |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339346/ https://www.ncbi.nlm.nih.gov/pubmed/30658579 http://dx.doi.org/10.1186/s12864-018-5366-6 |
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