GSTDTAP  > 资源环境科学
DOI10.1016/j.tree.2017.09.004
Genomic Quantitative Genetics to Study Evolution in the Wild
Gienapp, Phillip1; Fior, Simone2; Guillaume, Frereric3; Lasky, Jesse R.4; Sork, Victoria L.5; Csillery, Katalin3,6
2017-12-01
发表期刊TRENDS IN ECOLOGY & EVOLUTION
ISSN0169-5347
EISSN1872-8383
出版年2017
卷号32期号:12
文章类型Review
语种英语
国家Netherlands; Switzerland; USA
英文摘要

Quantitative genetic theory provides a means of estimating the evolutionary potential of natural populations. However, this approach was previously only feasible in systems where the genetic relatedness between individuals could be inferred from pedigrees or experimental crosses. The genomic revolution opened up the possibility of obtaining the realized proportion of genome shared among individuals in natural populations of virtually any species, which could promise (more) accurate estimates of quantitative genetic parameters in virtually any species. Such a 'genomic' quantitative genetics approach relies on fewer assumptions, offers a greater methodological flexibility, and is thus expected to greatly enhance our understanding of evolution in natural populations, for example, in the context of adaptation to environmental change, eco-evolutionary dynamics, and biodiversity conservation.


领域资源环境
收录类别SCI-E
WOS记录号WOS:000415306100010
WOS关键词ARABIDOPSIS-THALIANA ACCESSIONS ; CLIMATE-CHANGE ; RELATIONSHIP MATRIX ; LOCAL ADAPTATION ; WHITE SPRUCE ; POPULATION ; RELATEDNESS ; SELECTION ; HERITABILITY ; CONSERVATION
WOS类目Ecology ; Evolutionary Biology ; Genetics & Heredity
WOS研究方向Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/28818
专题资源环境科学
作者单位1.Netherlands Inst Ecol NIOO KNAW, Dept Anim Ecol, Wageningen, Netherlands;
2.Swiss Fed Inst Technol, Plant Ecol Genet, Zurich, Switzerland;
3.Univ Zurich, Dept Evolutionary Biol & Environm Studies, Zurich, Switzerland;
4.Penn State Univ, Dept Biol, University Pk, PA 16802 USA;
5.Univ Calif Los Angeles, Dept Ecol & Evolutionary Biol, Los Angeles, CA USA;
6.WSL Swiss Fed Res Inst, Biodivers & Conservat Biol, Birmensdorf, Switzerland
推荐引用方式
GB/T 7714
Gienapp, Phillip,Fior, Simone,Guillaume, Frereric,et al. Genomic Quantitative Genetics to Study Evolution in the Wild[J]. TRENDS IN ECOLOGY & EVOLUTION,2017,32(12).
APA Gienapp, Phillip,Fior, Simone,Guillaume, Frereric,Lasky, Jesse R.,Sork, Victoria L.,&Csillery, Katalin.(2017).Genomic Quantitative Genetics to Study Evolution in the Wild.TRENDS IN ECOLOGY & EVOLUTION,32(12).
MLA Gienapp, Phillip,et al."Genomic Quantitative Genetics to Study Evolution in the Wild".TRENDS IN ECOLOGY & EVOLUTION 32.12(2017).
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