远缘植物同源/异源基因的系统发育推断

Zilong Xu, Wenyan Sun, Ziqiang Zhu, Bojian Zhong, Zhenhua Zhang
{"title":"远缘植物同源/异源基因的系统发育推断","authors":"Zilong Xu, Wenyan Sun, Ziqiang Zhu, Bojian Zhong, Zhenhua Zhang","doi":"10.21769/BioProtoc.4893","DOIUrl":null,"url":null,"abstract":"The recent surge in plant genomic and transcriptomic data has laid a foundation for reconstructing evolutionary scenarios and inferring potential functions of key genes related to plants’ development and stress responses. The classical scheme for identifying homologous genes is sequence similarity–based searching, under the crucial assumption that homologous sequences are more similar to each other than they are to any other non-homologous sequences. Advances in plant phylogenomics and computational algorithms have enabled us to systemically identify homologs/orthologs and reconstruct their evolutionary histories among distantly related lineages. Here, we present a comprehensive pipeline for homologous sequences identification, phylogenetic relationship inference, and potential functional profiling of genes in plants. Key features • Identification of orthologs using large-scale genomic and transcriptomic data. • This protocol is generalized for analyzing the evolution of plant genes.","PeriodicalId":8938,"journal":{"name":"Bio-protocol","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Phylogenetic Inference of Homologous/Orthologous Genes Among Distantly Related Plants\",\"authors\":\"Zilong Xu, Wenyan Sun, Ziqiang Zhu, Bojian Zhong, Zhenhua Zhang\",\"doi\":\"10.21769/BioProtoc.4893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The recent surge in plant genomic and transcriptomic data has laid a foundation for reconstructing evolutionary scenarios and inferring potential functions of key genes related to plants’ development and stress responses. The classical scheme for identifying homologous genes is sequence similarity–based searching, under the crucial assumption that homologous sequences are more similar to each other than they are to any other non-homologous sequences. Advances in plant phylogenomics and computational algorithms have enabled us to systemically identify homologs/orthologs and reconstruct their evolutionary histories among distantly related lineages. Here, we present a comprehensive pipeline for homologous sequences identification, phylogenetic relationship inference, and potential functional profiling of genes in plants. Key features • Identification of orthologs using large-scale genomic and transcriptomic data. • This protocol is generalized for analyzing the evolution of plant genes.\",\"PeriodicalId\":8938,\"journal\":{\"name\":\"Bio-protocol\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bio-protocol\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21769/BioProtoc.4893\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bio-protocol","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21769/BioProtoc.4893","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

近年来,植物基因组学和转录组学数据的激增为重建植物进化情景和推断与植物发育和逆境反应相关的关键基因的潜在功能奠定了基础。识别同源基因的经典方案是基于序列相似性的搜索,其关键假设是同源序列之间的相似性大于任何其他非同源序列。植物系统基因组学和计算算法的进步使我们能够系统地识别同源/同源物,并在远亲谱系中重建它们的进化历史。在这里,我们提出了一个全面的管道同源序列鉴定,系统发育关系推断和潜在的功能分析的基因在植物中。使用大规模基因组学和转录组学数据鉴定同源物。•该协议适用于分析植物基因的进化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Phylogenetic Inference of Homologous/Orthologous Genes Among Distantly Related Plants
The recent surge in plant genomic and transcriptomic data has laid a foundation for reconstructing evolutionary scenarios and inferring potential functions of key genes related to plants’ development and stress responses. The classical scheme for identifying homologous genes is sequence similarity–based searching, under the crucial assumption that homologous sequences are more similar to each other than they are to any other non-homologous sequences. Advances in plant phylogenomics and computational algorithms have enabled us to systemically identify homologs/orthologs and reconstruct their evolutionary histories among distantly related lineages. Here, we present a comprehensive pipeline for homologous sequences identification, phylogenetic relationship inference, and potential functional profiling of genes in plants. Key features • Identification of orthologs using large-scale genomic and transcriptomic data. • This protocol is generalized for analyzing the evolution of plant genes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Simple Immunofluorescence Method to Characterize Neurodegeneration and Tyrosine Hydroxylase Reduction in Whole Brain of a Drosophila Model of Parkinson’s Disease Unlocking Bio-Instructive Polymers: A Novel Multi-Well Screening Platform Based on Secretome Sampling A Versatile Pipeline for High-fidelity Imaging and Analysis of Vascular Networks Across the Body Generation of Human Induced Pluripotent Stem Cell (hiPSC)-Derived Astrocytes for Amyotrophic Lateral Sclerosis and Other Neurodegenerative Disease Studies CoCoNat: A Deep Learning–Based Tool for the Prediction of Coiled-coil Domains in Protein Sequences
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1