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HiMAP2:从多种基因组资源中识别系统发育信息遗传标记。

HiMAP2: Identifying phylogenetically informative genetic markers from diverse genomic resources.

机构信息

Department of Entomology, University of Kentucky, Lexington, Kentucky, USA.

College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa, Department of Plant and Environmental Protection Sciences, Entomology Section, Honolulu, Hawaii, USA.

出版信息

Mol Ecol Resour. 2023 Jul;23(5):1155-1167. doi: 10.1111/1755-0998.13762. Epub 2023 Feb 15.

Abstract

Multiplexed amplicon sequencing offers a cost-effective and rapid solution for phylogenomic studies that include a large number of individuals. Selecting informative genetic markers is a critical initial step in designing such multiplexed amplicon panels, but screening various genomic data and selecting markers that are informative for the question at hand can be laborious. Here, we present a flexible and user-friendly tool, HiMAP2, for identifying, visualizing and filtering phylogenetically informative loci from diverse genomic and transcriptomic resources. This bioinformatics pipeline includes orthology prediction, exon extraction and filtering of aligned exon sequences according to user-defined specifications. Additionally, HiMAP2 facilitates exploration of the final filtered exons by incorporating phylogenetic inference of individual exon trees with raxml-ng as well as the estimation of a species tree using astral. Finally, results of the marker selection can be visualized and refined with an interactive Bokeh application that can be used to generate publication-quality figures. Source code and user instructions for HiMAP2 are available at https://github.com/popphylotools/HiMAP_v2.

摘要

多重扩增子测序为包含大量个体的系统基因组学研究提供了一种经济有效的快速解决方案。选择有信息量的遗传标记是设计此类多重扩增子面板的关键初始步骤,但是筛选各种基因组数据并选择对当前问题有信息量的标记可能很繁琐。在这里,我们介绍了一种灵活且用户友好的工具 HiMAP2,用于从各种基因组和转录组资源中识别、可视化和过滤系统发育信息丰富的基因座。该生物信息学管道包括根据用户定义的规范进行的同源预测、外显子提取和对齐外显子序列的过滤。此外,HiMAP2 通过将个体外显子树的系统发育推断与 raxml-ng 相结合,以及使用 astral 估计物种树,促进了最终过滤外显子的探索。最后,可以使用交互式 Bokeh 应用程序可视化和细化标记选择的结果,该应用程序可用于生成具有出版质量的图。HiMAP2 的源代码和用户说明可在 https://github.com/popphylotools/HiMAP_v2 上获得。

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