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Environmental effects on molecular and phenotypic variation in populations of Eruca sativa across a steep climatic gradient

生物 扩增片段长度多态性 遗传变异 生态学 种内竞争 局部适应 人口 土壤学 进化生物学 遗传多样性 遗传学 人口学 基因 社会学 土壤水分
作者
Erik Westberg,Shachar Ohali,Anatoly Shevelevich,Pinchas Fine,Oz Barazani
出处
期刊:Ecology and Evolution [Wiley]
卷期号:3 (8): 2471-2484 被引量:34
标识
DOI:10.1002/ece3.646
摘要

Abstract In I srael E ruca sativa has a geographically narrow distribution across a steep climatic gradient that ranges from mesic Mediterranean to hot desert environments. These conditions offer an opportunity to study the influence of the environment on intraspecific genetic variation. For this, we combined an analysis of neutral genetic markers with a phenotypic evaluation in common‐garden experiments, and environmental characterization of populations that included climatic and edaphic parameters, as well as geographic distribution. A Bayesian clustering of individuals from nine representative populations based on amplified fragment length polymorphism ( AFLP ) divided the populations into a southern and a northern geographic cluster, with one admixed population at the geographic border between them. Linear mixed models, with cluster added as a grouping factor, revealed no clear effects of environment or geography on genetic distances, but this may be due to a strong association of geography and environment with genetic clusters. However, environmental factors accounted for part of the phenotypic variation observed in the common‐garden experiments. In addition, candidate loci for selection were identified by association with environmental parameters and by two outlier methods. One locus, identified by all three methods, also showed an association with trichome density and herbivore damage, in net‐house and field experiments, respectively. Accordingly, we propose that because trichomes are directly linked to defense against both herbivores and excess radiation, they could potentially be related to adaptive variation in these populations. These results demonstrate the value of combining environmental and phenotypic data with a detailed genetic survey when studying adaptation in plant populations.

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