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。

IF 16 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
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
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引用次数: 0

摘要

染色体是遗传的关键结构和功能组成部分。重建祖先细胞核型(ACKs)和染色体进化轨迹(CETs)可以揭示染色体在进化过程中如何发生结构和功能变化。全基因组复制集成分析工具包在植物基因组内部和之间基因共线性比较分析的基础上实现了端粒中心模型,以重建许多被子植物基因组因重复多倍体和随后的重模式而变得复杂的ack和cet。本文总结了利用全基因组重复综合分析来推断基因组内或基因组之间的基因共线性,以及推断一个植物特有或多个植物或植物科共有的重复多倍体化的步骤。此外,我们还提供了一个三种草基因组的例子。我们还描述了在关键进化节点推断祖先染色体的程序,重建从远古到现存植物的CETs,并通过破译由不同多倍体或物种形成事件产生的共线基因来生成与事件相关的多基因组等级比对。该协议指导用户推断一个植物分类群中的ACKs和CETs,以及不同分类群中选定的植物之间的ACKs和CETs,这对于理解染色体进化、基因组复杂性以及重复基因的起源和进化等遗传创新的重要来源至关重要。该协议需要最少的生物信息学知识,例如,从公共数据库检索数据和运行Python程序。使用示例数据完成协议大约需要8小时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.

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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
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.
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