{"title":"wgd v2:一套揭示古代多倍体和全基因组复制并确定其日期的工具。","authors":"Hen-Huang Chen, A. Zwaenepoel, Yves Van de Peer","doi":"10.1093/bioinformatics/btae272","DOIUrl":null,"url":null,"abstract":"MOTIVATION\nMajor improvements in sequencing technologies and genome sequence assembly have led to a huge increase in the number of available genome sequences. In turn, these genome sequences form an invaluable source for evolutionary, ecological, and comparative studies. One kind of analysis that has become routine is the search for traces of ancient polyploidy, particularly for plant genomes, where whole-genome duplication (WGD) is rampant.\n\n\nRESULTS\nHere, we present a major update of a previously developed tool wgd, namely wgd v2, to look for remnants of ancient polyploidy, or WGD. We implemented novel and improved previously developed tools to a) construct KS age distributions for the whole-paranome (collection of all duplicated genes in a genome), b) unravel intra- and inter- genomic collinearity resulting from WGDs, c) fit mixture models to age distributions of gene duplicates, d) correct substitution rate variation for phylogenetic placement of WGDs, and e) date ancient WGDs via phylogenetic dating of WGD-retained gene duplicates. The applicability and feasibility of wgd v2 for the identification and the relative and absolute dating of ancient WGDs is demonstrated using different plant genomes.\n\n\nAVAILABILITY\nwgd v2 is open source and available at https://github.com/heche-psb/wgd.\n\n\nSUPPLEMENTARY INFORMATION\nSupplementary data are available at Bioinformatics online.","PeriodicalId":8903,"journal":{"name":"Bioinformatics","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"wgd v2: a suite of tools to uncover and date ancient polyploidy and whole-genome duplication.\",\"authors\":\"Hen-Huang Chen, A. Zwaenepoel, Yves Van de Peer\",\"doi\":\"10.1093/bioinformatics/btae272\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"MOTIVATION\\nMajor improvements in sequencing technologies and genome sequence assembly have led to a huge increase in the number of available genome sequences. In turn, these genome sequences form an invaluable source for evolutionary, ecological, and comparative studies. One kind of analysis that has become routine is the search for traces of ancient polyploidy, particularly for plant genomes, where whole-genome duplication (WGD) is rampant.\\n\\n\\nRESULTS\\nHere, we present a major update of a previously developed tool wgd, namely wgd v2, to look for remnants of ancient polyploidy, or WGD. We implemented novel and improved previously developed tools to a) construct KS age distributions for the whole-paranome (collection of all duplicated genes in a genome), b) unravel intra- and inter- genomic collinearity resulting from WGDs, c) fit mixture models to age distributions of gene duplicates, d) correct substitution rate variation for phylogenetic placement of WGDs, and e) date ancient WGDs via phylogenetic dating of WGD-retained gene duplicates. The applicability and feasibility of wgd v2 for the identification and the relative and absolute dating of ancient WGDs is demonstrated using different plant genomes.\\n\\n\\nAVAILABILITY\\nwgd v2 is open source and available at https://github.com/heche-psb/wgd.\\n\\n\\nSUPPLEMENTARY INFORMATION\\nSupplementary data are available at Bioinformatics online.\",\"PeriodicalId\":8903,\"journal\":{\"name\":\"Bioinformatics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2024-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bioinformatics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/bioinformatics/btae272\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/bioinformatics/btae272","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
wgd v2: a suite of tools to uncover and date ancient polyploidy and whole-genome duplication.
MOTIVATION
Major improvements in sequencing technologies and genome sequence assembly have led to a huge increase in the number of available genome sequences. In turn, these genome sequences form an invaluable source for evolutionary, ecological, and comparative studies. One kind of analysis that has become routine is the search for traces of ancient polyploidy, particularly for plant genomes, where whole-genome duplication (WGD) is rampant.
RESULTS
Here, we present a major update of a previously developed tool wgd, namely wgd v2, to look for remnants of ancient polyploidy, or WGD. We implemented novel and improved previously developed tools to a) construct KS age distributions for the whole-paranome (collection of all duplicated genes in a genome), b) unravel intra- and inter- genomic collinearity resulting from WGDs, c) fit mixture models to age distributions of gene duplicates, d) correct substitution rate variation for phylogenetic placement of WGDs, and e) date ancient WGDs via phylogenetic dating of WGD-retained gene duplicates. The applicability and feasibility of wgd v2 for the identification and the relative and absolute dating of ancient WGDs is demonstrated using different plant genomes.
AVAILABILITY
wgd v2 is open source and available at https://github.com/heche-psb/wgd.
SUPPLEMENTARY INFORMATION
Supplementary data are available at Bioinformatics online.
期刊介绍:
The leading journal in its field, Bioinformatics publishes the highest quality scientific papers and review articles of interest to academic and industrial researchers. Its main focus is on new developments in genome bioinformatics and computational biology. Two distinct sections within the journal - Discovery Notes and Application Notes- focus on shorter papers; the former reporting biologically interesting discoveries using computational methods, the latter exploring the applications used for experiments.