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DOI | 10.1016/j.tree.2017.09.012 |
Information Theory Broacens the Spectrum of Molecular Ecolocy anc Evolution | |
Sherwin, W. B.1,2; Chao, A.3; Jost, L.4; Smouse, P. E.5 | |
2017-12-01 | |
发表期刊 | TRENDS IN ECOLOGY & EVOLUTION
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ISSN | 0169-5347 |
EISSN | 1872-8383 |
出版年 | 2017 |
卷号 | 32期号:12 |
文章类型 | Review |
语种 | 英语 |
国家 | Australia; Taiwan; Ecuador; USA |
英文摘要 | Information or entropy analysis of diversity is used extensively in community ecology, and has recently been exploited for prediction and analysis in molecular ecology and evolution. Information measures belong to a spectrum (or q profile) of measures whose contrasting properties provide a rich summary of diversity, including allelic richness (q = 0), Shannon information (q = 1), and heterozygosity (q = 2). We present the merits of information measures for describing and forecasting molecular variation within and among groups, comparing forecasts with data, and evaluating underlying processes such as dispersal. Importantly, information measures directly link causal processes and divergence outcomes, have straightforward relationship to allele frequency differences (including monotonicity that q = 2 lacks), and show additivity across hierarchical layers such as ecology, behaviour, cellular processes, and nongenetic inheritance. |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000415306100014 |
WOS关键词 | GENETIC DIVERSITY ; BETA-DIVERSITY ; DIFFERENTIATION MEASURES ; PHYLOGENETIC DIVERSITY ; ENTROPY ; POLYMORPHISM ; INDIVIDUALS ; SELECTION ; FOREST ; ADAPTATION |
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/28124 |
专题 | 资源环境科学 |
作者单位 | 1.Univ New South Wales, Sch Biol Earth & Environm Sci, Evolut & Ecol Res Ctr, Sydney, NSW 2052, Australia; 2.Murdoch Univ, Res Unit, Murdoch Univ Cetacean, South Rd, Murdoch, WA 6150, Australia; 3.Natl Tsing Hua Univ, Inst Stat, Hsinchu 30043, Taiwan; 4.EcoMinga Fdn, Via Runtun, Banos, Tungurahua, Ecuador; 5.Rutgers State Univ, Sch Environm & Biol Sci, Dept Ecol Evolut & Nat Resources, New Brunswick, NJ 08901 USA |
推荐引用方式 GB/T 7714 | Sherwin, W. B.,Chao, A.,Jost, L.,et al. Information Theory Broacens the Spectrum of Molecular Ecolocy anc Evolution[J]. TRENDS IN ECOLOGY & EVOLUTION,2017,32(12). |
APA | Sherwin, W. B.,Chao, A.,Jost, L.,&Smouse, P. E..(2017).Information Theory Broacens the Spectrum of Molecular Ecolocy anc Evolution.TRENDS IN ECOLOGY & EVOLUTION,32(12). |
MLA | Sherwin, W. B.,et al."Information Theory Broacens the Spectrum of Molecular Ecolocy anc Evolution".TRENDS IN ECOLOGY & EVOLUTION 32.12(2017). |
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