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ORTHOSCOPE*:一种从全基因组数据推断基因历史的系统发育分析流程。

ORTHOSCOPE*: A Phylogenetic Pipeline to Infer Gene Histories from Genome-Wide Data.

机构信息

Center for Earth Surface System Dynamics, Atmosphere and Ocean Research Institute, University of Tokyo, Kashiwa, Japan.

出版信息

Mol Biol Evol. 2022 Jan 7;39(1). doi: 10.1093/molbev/msab301.

Abstract

Comparative genome-scale analyses of protein-coding gene sequences are employed to examine evidence for whole-genome duplication and horizontal gene transfer. For this purpose, an orthogroup should be delineated to infer evolutionary history regarding each gene, and results of all orthogroup analyses need to be integrated to infer a genome-scale history. An orthogroup is a set of genes descended from a single gene in the last common ancestor of all species under consideration. However, such analyses confront several problems: 1) Analytical pipelines to infer all gene histories with methods comparing species and gene trees are not fully developed, and 2) without detailed analyses within orthogroups, evolutionary events of paralogous genes in the same orthogroup cannot be distinguished for genome-wide integration of results derived from multiple orthogroup analyses. Here I present an analytical pipeline, ORTHOSCOPE* (star), to infer evolutionary histories of animal/plant genes from genome-scale data. ORTHOSCOPE* estimates a tree for a specified gene, detects speciation/gene duplication events that occurred at nodes belonging to only one lineage leading to a species of interest, and then integrates results derived from gene trees estimated for all query genes in genome-wide data. Thus, ORTHOSCOPE* can be used to detect species nodes just after whole-genome duplications as a first step of comparative genomic analyses. Moreover, by examining the presence or absence of genes belonging to species lineages with dense taxon sampling available from the ORTHOSCOPE web version, ORTHOSCOPE* can detect genes lost in specific lineages and horizontal gene transfers. This pipeline is available at https://github.com/jun-inoue/ORTHOSCOPE_STAR.

摘要

比较基因组规模的蛋白质编码基因序列分析用于检验全基因组复制和水平基因转移的证据。为此,应该划定一个直系同源群,以推断每个基因的进化历史,并且需要整合所有直系同源群分析的结果,以推断基因组规模的历史。直系同源群是一组从所有考虑的物种的最后共同祖先中的单个基因衍生而来的基因。然而,这种分析面临着几个问题:1)推断所有基因历史的分析管道,使用比较物种和基因树的方法,尚未完全开发,以及 2)如果不在直系同源群内进行详细分析,则无法区分同一直系同源群中同源基因的进化事件,无法整合来自多个直系同源群分析的结果。在这里,我提出了一个分析管道,ORTHOSCOPE*(星),用于从基因组规模的数据推断动物/植物基因的进化历史。ORTHOSCOPE估计指定基因的树,检测发生在仅属于一个谱系的节点的物种形成/基因复制事件,该谱系导致感兴趣的物种,然后整合从基因组范围内所有查询基因的基因树估计中得出的结果。因此,ORTHOSCOPE可用于检测全基因组复制后作为比较基因组分析的第一步的物种节点。此外,通过检查来自 ORTHOSCOPE 网络版本的具有密集分类群采样的物种谱系中存在或不存在基因,ORTHOSCOPE*可以检测到在特定谱系中丢失的基因和水平基因转移。该管道可在 https://github.com/jun-inoue/ORTHOSCOPE_STAR 获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5055/8763121/38ce291ddafb/msab301f1.jpg

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