4.6 Article

Structure, stability and ecological significance of natural epigenetic variation: a large-scale survey in Plantago lanceolata

期刊

NEW PHYTOLOGIST
卷 221, 期 3, 页码 1585-1596

出版社

WILEY
DOI: 10.1111/nph.15487

关键词

common garden; DNA methylation; epigenetic variation; intraspecific variation; land use; phenotypic variation; Plantago lanceolata; population differentiation

资金

  1. DFG Priority Program 1374 'Biodiversity Exploratories' (DFG) [DU 404/9-1, BO 3241/2-1]

向作者/读者索取更多资源

Within-species diversity is an important driver of ecological and evolutionary processes. Recent research has found that plants can harbour significant epigenetic diversity, but its extent, stability and ecological significance in natural populations is largely unexplored. We analysed genetic, epigenetic and phenotypic variation in a large number of natural grassland populations of Plantago lanceolata, covering a broad geographical and environmental range. Within-population diversity and among-population differentiation were calculated from genetic and epigenetic marker data and from measurements of phenotypic traits, both for plants in the field and for the F-1 generation grown in a common environment. We found weak but significant epigenetic population structure. A large part of the epigenetic population differences observed in the field was maintained in a common environment. Epigenetic differences were consistently related to genetic and environmental variation, and to a lesser degree to phenotypic variation and land use, with more grazed populations harbouring greater epigenetic diversity. Our study demonstrates that epigenetic diversity exists in natural populations of a common grassland species, and that at least part of this epigenetic diversity is stable, nonrandom and related to environmental variation. Experimental and more detailed molecular studies are needed to elucidate the mechanistic basis of these observed patterns.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据