wgd v2: a suite of tools to uncover and date ancient polyploidy and whole-genome duplication.

IF 4.4 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Hen-Huang Chen, A. Zwaenepoel, Yves Van de Peer
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Abstract

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.
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。
动机测序技术和基因组序列组装技术的重大改进,使现有基因组序列的数量大幅增加。反过来,这些基因组序列又为进化、生态和比较研究提供了宝贵的资料。其中一种已成为常规的分析方法是寻找古代多倍体的痕迹,尤其是在全基因组重复(WGD)非常普遍的植物基因组中。结果在此,我们对之前开发的工具 wgd(即 wgd v2)进行了重大更新,以寻找古代多倍体或 WGD 的残余。我们采用了新颖的工具并对之前开发的工具进行了改进,以便:a)构建全基因组(基因组中所有重复基因的集合)的 KS 年龄分布;b)揭示 WGD 所导致的基因组内和基因组间的共线性;c)拟合基因重复体年龄分布的混合模型;d)纠正 WGD 系统发育位置的替代率变化;e)通过对保留 WGD 的基因重复体进行系统发育测年,确定古代 WGD 的日期。利用不同的植物基因组证明了 wgd v2 在鉴定古代 WGDs 以及确定其相对和绝对年代方面的适用性和可行性。AVAILABILITYwgd v2 是开放源码,可在 https://github.com/heche-psb/wgd.SUPPLEMENTARY 上获取信息补充数据可在 Bioinformatics online 上获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Bioinformatics
Bioinformatics 生物-生化研究方法
CiteScore
11.20
自引率
5.20%
发文量
753
审稿时长
2.1 months
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.
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