生物
选择(遗传算法)
性状
数量性状位点
特质
遗传变异
自然选择
扩增片段长度多态性
稳定选择
蝶形花科
进化生物学
表型
植物
遗传学
遗传多样性
基因
人口
人口学
人工智能
程序设计语言
社会学
计算机科学
作者
Carolina L. Pometti,Cecilia Bessega,Ana M. Cialdella,Mauricio Ewens,Beatriz O. Saidman,Juan C. Vilardi
标识
DOI:10.1093/botlinnean/boz023
摘要
Abstract Economically and ecologically important quantitative traits of Acacia aroma are related to life history and the size and shape of fruits and leaves. Substantial variation is observed for these traits in natural populations, suggesting a possible genetic basis that could be useful for selection programmes. Our objective was to detect signals of selection on 12 phenotypic traits in 170 individuals belonging to seven populations of A. aroma in the Chaco Region of Argentina. Phenotypic traits were compared with molecular markers assessed in the same populations. Here, we search for signatures of natural selection by comparing quantitative trait variation to neutral genetic variation through the PST–FST test. We further test for differences among populations for the 12 phenotypic traits, an association of phenotypic variation with environmental variables and geographical distance, and we compare the power of discrimination between the phenotypic and AFLP datasets. The PST–FST test suggested directional selection for tree height and stabilizing selection for the remaining traits. Analyses of variance showed significant differentiation for eight phenotypic traits. These results suggest selecting among provenances as a management strategy to improve tree height (which showed divergent selection), whereas significant genetic gain for the other traits might be obtained by selection within provenances.
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