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ProPan: a comprehensive database for profiling prokaryotic pan-genome dynamics

Compared with conventional comparative genomics, the recent studies in pan-genomics have provided further insights into species genomic dynamics, taxonomy and identification, pathogenicity and environmental adaptation. To better understand genome characteristics of species of interest and to fully e...

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Autores principales: Zhang, Yadong, Zhang, Hao, Zhang, Zaichao, Qian, Qiheng, Zhang, Zhewen, Xiao, Jingfa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825599/
https://www.ncbi.nlm.nih.gov/pubmed/36169225
http://dx.doi.org/10.1093/nar/gkac832
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author Zhang, Yadong
Zhang, Hao
Zhang, Zaichao
Qian, Qiheng
Zhang, Zhewen
Xiao, Jingfa
author_facet Zhang, Yadong
Zhang, Hao
Zhang, Zaichao
Qian, Qiheng
Zhang, Zhewen
Xiao, Jingfa
author_sort Zhang, Yadong
collection PubMed
description Compared with conventional comparative genomics, the recent studies in pan-genomics have provided further insights into species genomic dynamics, taxonomy and identification, pathogenicity and environmental adaptation. To better understand genome characteristics of species of interest and to fully excavate key metabolic and resistant genes and their conservations and variations, here we present ProPan (https://ngdc.cncb.ac.cn/propan), a public database covering 23 archaeal species and 1,481 bacterial species (in a total of 51,882 strains) for comprehensively profiling prokaryotic pan-genome dynamics. By analyzing and integrating these massive datasets, ProPan offers three major aspects for the pan-genome dynamics of the species of interest: 1) the evaluations of various species' characteristics and composition in pan-genome dynamics; 2) the visualization of map association, the functional annotation and presence/absence variation for all contained species' gene clusters; 3) the typical characteristics of the environmental adaptation, including resistance genes prediction of 126 substances (biocide, antimicrobial drug and metal) and evaluation of 31 metabolic cycle processes. Besides, ProPan develops a very user-friendly interface, flexible retrieval and multi-level real-time statistical visualization. Taken together, ProPan will serve as a weighty resource for the studies of prokaryotic pan-genome dynamics, taxonomy and identification as well as environmental adaptation.
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spelling pubmed-98255992023-01-10 ProPan: a comprehensive database for profiling prokaryotic pan-genome dynamics Zhang, Yadong Zhang, Hao Zhang, Zaichao Qian, Qiheng Zhang, Zhewen Xiao, Jingfa Nucleic Acids Res Database Issue Compared with conventional comparative genomics, the recent studies in pan-genomics have provided further insights into species genomic dynamics, taxonomy and identification, pathogenicity and environmental adaptation. To better understand genome characteristics of species of interest and to fully excavate key metabolic and resistant genes and their conservations and variations, here we present ProPan (https://ngdc.cncb.ac.cn/propan), a public database covering 23 archaeal species and 1,481 bacterial species (in a total of 51,882 strains) for comprehensively profiling prokaryotic pan-genome dynamics. By analyzing and integrating these massive datasets, ProPan offers three major aspects for the pan-genome dynamics of the species of interest: 1) the evaluations of various species' characteristics and composition in pan-genome dynamics; 2) the visualization of map association, the functional annotation and presence/absence variation for all contained species' gene clusters; 3) the typical characteristics of the environmental adaptation, including resistance genes prediction of 126 substances (biocide, antimicrobial drug and metal) and evaluation of 31 metabolic cycle processes. Besides, ProPan develops a very user-friendly interface, flexible retrieval and multi-level real-time statistical visualization. Taken together, ProPan will serve as a weighty resource for the studies of prokaryotic pan-genome dynamics, taxonomy and identification as well as environmental adaptation. Oxford University Press 2022-09-28 /pmc/articles/PMC9825599/ /pubmed/36169225 http://dx.doi.org/10.1093/nar/gkac832 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Zhang, Yadong
Zhang, Hao
Zhang, Zaichao
Qian, Qiheng
Zhang, Zhewen
Xiao, Jingfa
ProPan: a comprehensive database for profiling prokaryotic pan-genome dynamics
title ProPan: a comprehensive database for profiling prokaryotic pan-genome dynamics
title_full ProPan: a comprehensive database for profiling prokaryotic pan-genome dynamics
title_fullStr ProPan: a comprehensive database for profiling prokaryotic pan-genome dynamics
title_full_unstemmed ProPan: a comprehensive database for profiling prokaryotic pan-genome dynamics
title_short ProPan: a comprehensive database for profiling prokaryotic pan-genome dynamics
title_sort propan: a comprehensive database for profiling prokaryotic pan-genome dynamics
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825599/
https://www.ncbi.nlm.nih.gov/pubmed/36169225
http://dx.doi.org/10.1093/nar/gkac832
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