• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用固定指数(Fst)检测选择特征

Detection of signatures of selection using Fst.

作者信息

Porto-Neto Laercio R, Lee Seung Hwan, Lee Hak Kyo, Gondro Cedric

机构信息

School of Environmental and Rural Science, University of New England, Armidale, NSW, Australia.

出版信息

Methods Mol Biol. 2013;1019:423-36. doi: 10.1007/978-1-62703-447-0_19.

DOI:10.1007/978-1-62703-447-0_19
PMID:23756903
Abstract

Natural selection has molded the evolution of species across all taxa. Much more recently, on an evolutionary scale, human-oriented selection started to play an important role in shaping organisms, markedly so after the domestication of animals and plants. These selection processes have left traceable marks in the genome. Following from the recent advances in molecular genetics technologies, a number of methods have been developed to detect such signals, termed genomic signatures of selection. In this chapter we discuss a straightforward protocol based on the F ST statistic to identify genomic regions that exhibit high variation in allelic frequency between groups, which is a characteristic of genomic regions that have gone through differential selection. How to define the borders of these regions and further explore its genetic content is then discussed.

摘要

自然选择塑造了所有生物分类群中物种的进化。在更近的时期,从进化的时间尺度来看,以人类为导向的选择开始在塑造生物体方面发挥重要作用,在动植物驯化之后这种作用尤为显著。这些选择过程在基因组中留下了可追溯的印记。随着分子遗传学技术的最新进展,已经开发出了多种方法来检测此类信号,即选择的基因组特征。在本章中,我们将讨论一种基于F ST统计量的简单方案,以识别在群体间等位基因频率表现出高变异的基因组区域,这是经历了差异选择的基因组区域的一个特征。随后将讨论如何定义这些区域的边界并进一步探索其遗传内容。

相似文献

1
Detection of signatures of selection using Fst.使用固定指数(Fst)检测选择特征
Methods Mol Biol. 2013;1019:423-36. doi: 10.1007/978-1-62703-447-0_19.
2
A whole genome long-range haplotype (WGLRH) test for detecting imprints of positive selection in human populations.一种用于检测人类群体中正向选择印记的全基因组长程单倍型(WGLRH)测试。
Bioinformatics. 2006 Sep 1;22(17):2122-8. doi: 10.1093/bioinformatics/btl365. Epub 2006 Jul 15.
3
Positive natural selection in the human lineage.人类谱系中的正向自然选择。
Science. 2006 Jun 16;312(5780):1614-20. doi: 10.1126/science.1124309.
4
Genetic analysis of differentiation among breeding ponds reveals a candidate gene for local adaptation in Rana arvalis.遗传分析揭示了养殖池塘间分化的原因,这一结果为研究本地适应提供了一个候选基因,研究对象为中国林蛙(Rana arvalis)。
Mol Ecol. 2011 Apr;20(8):1582-600. doi: 10.1111/j.1365-294X.2011.05025.x. Epub 2011 Feb 17.
5
Q(ST) < F(ST) As a signature of canalization.Q(ST) < F(ST) 作为 canalization 的一个特征。
Mol Ecol. 2012 Dec;21(23):5646-55. doi: 10.1111/mec.12017. Epub 2012 Oct 30.
6
Detecting balancing selection in genomes: limits and prospects.检测基因组中的平衡选择:局限与前景
Mol Ecol. 2015 Jul;24(14):3529-45. doi: 10.1111/mec.13226. Epub 2015 Jun 15.
7
A population genomic approach to map recent positive selection in model species.一种用于绘制模式物种近期正向选择图谱的群体基因组方法。
Mol Ecol. 2008 Aug;17(16):3585-98. doi: 10.1111/j.1365-294X.2008.03852.x.
8
Plant self-incompatibility in natural populations: a critical assessment of recent theoretical and empirical advances.自然种群中的植物自交不亲和性:对近期理论与实证进展的批判性评估
Mol Ecol. 2004 Oct;13(10):2873-89. doi: 10.1111/j.1365-294X.2004.02267.x.
9
Use of qualitative environmental and phenotypic variables in the context of allele distribution models: detecting signatures of selection in the genome of Lake Victoria cichlids.在等位基因分布模型背景下使用定性环境和表型变量:检测维多利亚湖丽鱼基因组中的选择特征。
Methods Mol Biol. 2012;888:295-314. doi: 10.1007/978-1-61779-870-2_17.
10
Molecular and quantitative genetic divergence among populations of house mice with known evolutionary histories.具有已知进化历史的家鼠种群之间的分子和数量遗传差异。
Heredity (Edinb). 2005 May;94(5):518-25. doi: 10.1038/sj.hdy.6800652.

引用本文的文献

1
Population structure and selective signature analysis of local sheep breeds in Xinjiang, China based on high-density SNP chip.基于高密度 SNP 芯片的中国新疆地方绵羊品种的群体结构和选择特征分析。
Sci Rep. 2024 Nov 15;14(1):28133. doi: 10.1038/s41598-024-76573-w.
2
Scans for Signatures of Selection in Genomes of Wagyu and Buryat Cattle Breeds Reveal Candidate Genes and Genetic Variants for Adaptive Phenotypes and Production Traits.对和牛与布里亚特牛品种基因组中选择特征的扫描揭示了适应性表型和生产性状的候选基因及遗传变异。
Animals (Basel). 2024 Jul 13;14(14):2059. doi: 10.3390/ani14142059.
3
Whole-Genome Resequencing Reveals Selection Signal Related to Sheep Wool Fineness.
全基因组重测序揭示与绵羊羊毛细度相关的选择信号。
Animals (Basel). 2023 Sep 16;13(18):2944. doi: 10.3390/ani13182944.
4
Analysis of dog breed diversity using a composite selection index.利用复合选择指数分析犬种多样性。
Sci Rep. 2023 Jan 30;13(1):1674. doi: 10.1038/s41598-023-28826-3.
5
Whole-genome sequence analysis reveals selection signatures for important economic traits in Xiang pigs.全基因组序列分析揭示了湘猪重要经济性状的选择特征。
Sci Rep. 2022 Jul 12;12(1):11823. doi: 10.1038/s41598-022-14686-w.
6
Detection of genomic regions associated malformations in newborn piglets: a machine-learning approach.新生仔猪基因组区域相关畸形的检测:一种机器学习方法。
PeerJ. 2021 Jul 22;9:e11580. doi: 10.7717/peerj.11580. eCollection 2021.
7
Genome-Wide SNP Analysis for Milk Performance Traits in Indigenous Sheep: A Case Study in the Egyptian Barki Sheep.本土绵羊产奶性能性状的全基因组SNP分析:以埃及巴尔基羊为例
Animals (Basel). 2021 Jun 3;11(6):1671. doi: 10.3390/ani11061671.
8
Genetic Connectedness Between Norwegian White Sheep and New Zealand Composite Sheep Populations With Similar Development History.具有相似发展历史的挪威白绵羊和新西兰复合绵羊群体之间的遗传关联性
Front Genet. 2020 Apr 24;11:371. doi: 10.3389/fgene.2020.00371. eCollection 2020.
9
Genetic changes in a novel breeding population of Brassica napus synthesized from hundreds of crosses between B. rapa and B. carinata.新型甘蓝型油菜由上百次白菜型油菜和甘蓝型油菜杂交合成,发生了遗传变化。
Plant Biotechnol J. 2018 Feb;16(2):507-519. doi: 10.1111/pbi.12791. Epub 2017 Aug 16.
10
Genetic diversity and signatures of selection in various goat breeds revealed by genome-wide SNP markers.全基因组SNP标记揭示的不同山羊品种的遗传多样性和选择特征
BMC Genomics. 2017 Mar 14;18(1):229. doi: 10.1186/s12864-017-3610-0.