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Sherwin, William B. & Chao, Anne & Jost, Lou & Smouse, Peter E. (2017). Information Theory Broadens the Spectrum of Molecular Ecology and Evolution. Trends in Ecology And Evolution, 32(12), 948-963. Retrieved from https://doi.org/doi:10.7282/T3Z89GD4

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Information Theory Broadens the Spectrum of Molecular Ecology and Evolution (2017)
William B. Sherwin, Anne Chao, Lou Jost, Peter E. Smouse
Trends in Ecology And Evolution 32(12): 948-963.
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AbstractInformation 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 non-genetic inheritance.
Persistent URLhttps://doi.org/doi:10.7282/T3Z89GD4
SubjectsShannon, Diversity-profile, Entropy, Selection, Linkage-disequilibrium, Gene-expression
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