基因组学教会进化生物学家什么?

IF 11.5 2区 生物学 Q1 GENETICS & HEREDITY Genomics, Proteomics & Bioinformatics Pub Date : 2023-02-01 DOI:10.1016/j.gpb.2023.01.005
Jianzhi Zhang
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引用次数: 1

摘要

基因组学是一个关于基因组结构、功能和进化的跨学科生物学领域,它通过提供大量数据、带来高通量技术和提供一种新的生物学方法,彻底改变了生命科学的许多分支学科,包括我的进化生物学领域。在这篇综述中,我描述了我从基因组学中学到的东西,并强调了所获得的基本知识和机制见解。我专注于三个广泛的主题,这三个主题是进化生物学的核心,超越了变异、相互作用和选择,并主要以我自己的研究和研究主题为例。在未来的一二十年里,我预计基因组学对进化生物学最重要的贡献将是提供地球上几乎所有已知物种的基因组序列,促进自然变体的高通量表型分型,并系统构建用于绘制基因型-表型适应度景观的突变体,并使用实验进化来帮助确定进化过程中的因果关系。
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What Has Genomics Taught An Evolutionary Biologist?

Genomics, an interdisciplinary field of biology on the structure, function, and evolution of genomes, has revolutionized many subdisciplines of life sciences, including my field of evolutionary biology, by supplying huge data, bringing high-throughput technologies, and offering a new approach to biology. In this review, I describe what I have learned from genomics and highlight the fundamental knowledge and mechanistic insights gained. I focus on three broad topics that are central to evolutionary biology and beyond—variation, interaction, and selection—and use primarily my own research and study subjects as examples. In the next decade or two, I expect that the most important contributions of genomics to evolutionary biology will be to provide genome sequences of nearly all known species on Earth, facilitate high-throughput phenotyping of natural variants and systematically constructed mutants for mapping genotype–phenotype–fitness landscapes, and assist the determination of causality in evolutionary processes using experimental evolution.

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来源期刊
Genomics, Proteomics & Bioinformatics
Genomics, Proteomics & Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
14.30
自引率
4.20%
发文量
844
审稿时长
61 days
期刊介绍: Genomics, Proteomics and Bioinformatics (GPB) is the official journal of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China. It aims to disseminate new developments in the field of omics and bioinformatics, publish high-quality discoveries quickly, and promote open access and online publication. GPB welcomes submissions in all areas of life science, biology, and biomedicine, with a focus on large data acquisition, analysis, and curation. Manuscripts covering omics and related bioinformatics topics are particularly encouraged. GPB is indexed/abstracted by PubMed/MEDLINE, PubMed Central, Scopus, BIOSIS Previews, Chemical Abstracts, CSCD, among others.
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