{"title":"比较基因组学方法推断祖先细胞核型和重建植物染色体的进化轨迹。","authors":"Xiyin Wang, Bowen Song, Weiwei Liu, Yuelong Jia, Yingjie Li, Tao Wang, Minran Yang, Jiangli Wang, Fubo Hu, Huilong Qi, Huizhe Zhang, Xiaochang Xu, Zhenyi Wang, Yongchao Jin","doi":"10.1038/s41596-025-01173-5","DOIUrl":null,"url":null,"abstract":"<p><p>Chromosomes are key structural and functional components of heredity. Reconstruction of ancestral cell karyotypes (ACKs) and evolutionary trajectories of chromosomes (CETs) can reveal how structural and functional changes in chromosomes have occurred during evolution. The whole-genome duplication integrated analysis toolkit implements a telomere-centric model on the basis of the comparative analysis of gene collinearity within and between plant genomes to reconstruct the ACKs and CETs of many angiosperm plants whose genomes have been complicated by repeated polyploidization and subsequent repatterning. Here we summarize the steps for using whole-genome duplication integrated analysis to infer the gene collinearity within a genome or between genomes and to infer the repeated polyploidization specific to a plant or common to multiple plants or plant families. In addition, we provide an example with three grass genomes. We also describe procedures to infer ancestral chromosomes at key evolutionary nodes, to reconstruct CETs from the deep past to extant plants and to generate event-related hierarchical alignment of multiple genomes, which is realized by deciphering collinear genes produced by different polyploidization or speciation events. The Protocol guides users to infer ACKs and CETs in a plant taxon and between selected plants from different taxa, which is crucial to understand important sources of genetic innovation including chromosome evolution, genome complexity and origination and evolution of duplicated genes. This Protocol requires minimal bioinformatics knowledge, for example, retrieving data from public databases and running Python programs. Completing the protocol with the example data takes around 8 h.</p>","PeriodicalId":18901,"journal":{"name":"Nature Protocols","volume":" ","pages":""},"PeriodicalIF":16.0000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative genomics approach to infer ancestral cell karyotypes and reconstruct the evolutionary trajectories of plant chromosomes.\",\"authors\":\"Xiyin Wang, Bowen Song, Weiwei Liu, Yuelong Jia, Yingjie Li, Tao Wang, Minran Yang, Jiangli Wang, Fubo Hu, Huilong Qi, Huizhe Zhang, Xiaochang Xu, Zhenyi Wang, Yongchao Jin\",\"doi\":\"10.1038/s41596-025-01173-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Chromosomes are key structural and functional components of heredity. Reconstruction of ancestral cell karyotypes (ACKs) and evolutionary trajectories of chromosomes (CETs) can reveal how structural and functional changes in chromosomes have occurred during evolution. The whole-genome duplication integrated analysis toolkit implements a telomere-centric model on the basis of the comparative analysis of gene collinearity within and between plant genomes to reconstruct the ACKs and CETs of many angiosperm plants whose genomes have been complicated by repeated polyploidization and subsequent repatterning. Here we summarize the steps for using whole-genome duplication integrated analysis to infer the gene collinearity within a genome or between genomes and to infer the repeated polyploidization specific to a plant or common to multiple plants or plant families. In addition, we provide an example with three grass genomes. We also describe procedures to infer ancestral chromosomes at key evolutionary nodes, to reconstruct CETs from the deep past to extant plants and to generate event-related hierarchical alignment of multiple genomes, which is realized by deciphering collinear genes produced by different polyploidization or speciation events. The Protocol guides users to infer ACKs and CETs in a plant taxon and between selected plants from different taxa, which is crucial to understand important sources of genetic innovation including chromosome evolution, genome complexity and origination and evolution of duplicated genes. This Protocol requires minimal bioinformatics knowledge, for example, retrieving data from public databases and running Python programs. Completing the protocol with the example data takes around 8 h.</p>\",\"PeriodicalId\":18901,\"journal\":{\"name\":\"Nature Protocols\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":16.0000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Protocols\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1038/s41596-025-01173-5\",\"RegionNum\":1,\"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":"Nature Protocols","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s41596-025-01173-5","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Comparative genomics approach to infer ancestral cell karyotypes and reconstruct the evolutionary trajectories of plant chromosomes.
Chromosomes are key structural and functional components of heredity. Reconstruction of ancestral cell karyotypes (ACKs) and evolutionary trajectories of chromosomes (CETs) can reveal how structural and functional changes in chromosomes have occurred during evolution. The whole-genome duplication integrated analysis toolkit implements a telomere-centric model on the basis of the comparative analysis of gene collinearity within and between plant genomes to reconstruct the ACKs and CETs of many angiosperm plants whose genomes have been complicated by repeated polyploidization and subsequent repatterning. Here we summarize the steps for using whole-genome duplication integrated analysis to infer the gene collinearity within a genome or between genomes and to infer the repeated polyploidization specific to a plant or common to multiple plants or plant families. In addition, we provide an example with three grass genomes. We also describe procedures to infer ancestral chromosomes at key evolutionary nodes, to reconstruct CETs from the deep past to extant plants and to generate event-related hierarchical alignment of multiple genomes, which is realized by deciphering collinear genes produced by different polyploidization or speciation events. The Protocol guides users to infer ACKs and CETs in a plant taxon and between selected plants from different taxa, which is crucial to understand important sources of genetic innovation including chromosome evolution, genome complexity and origination and evolution of duplicated genes. This Protocol requires minimal bioinformatics knowledge, for example, retrieving data from public databases and running Python programs. Completing the protocol with the example data takes around 8 h.
期刊介绍:
Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured.
The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.