Influences of environmental and spatial factors on genetic and epigenetic variations in Rhododendron oldhamii (Ericaceae)
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- 作者：Chun-Lin Huang (1)
Jui-Hung Chen (2)
Ming-Hsuan Tsang (2)
Jeng-Der Chung (3)
Chung-Te Chang (4)
Shih-Ying Hwang (2) - 关键词：Epigenetic variation ; Genetic variation ; Habitat fragmentation ; Local adaptation ; Principal coordinates of neighbor matrices
- 刊名：Tree Genetics & Genomes
- 出版年：2015
- 出版时间：February 2015
- 年：2015
- 卷：11
- 期：1
- 全文大小：1,134 KB
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19. Dray S, - 作者单位：Chun-Lin Huang (1)
Jui-Hung Chen (2)
Ming-Hsuan Tsang (2)
Jeng-Der Chung (3)
Chung-Te Chang (4)
Shih-Ying Hwang (2)
1. Laboratory of Molecular Phylogenetics, Department of Biology, National Museum of Natural Science, 1 Guanchien Rd, Taichung, 40453, Taiwan
2. Department of Life Science, National Taiwan Normal University, 88 Tingchow Rd, Section 4, Taipei, 11677, Taiwan
3. Division of Silviculture, Taiwan Forestry Research Institute, Taipei, 10066, Taiwan
4. Department of Geography, National Taiwan University, 1 Roosevelt Rd, Section 4, Taipei, 10617, Taiwan - ISSN：1614-2950
文摘
Test of the relationship of genetic and particularly epigenetic variation with geographic isolation and environment is important to reveal potential environmental drivers for selection. Rhododendron oldhamii is widespread but inhabits fragmented subtropical forest landscapes, and populations across its range may exhibit different levels of genetic and epigenetic structuring correlated to their environmental conditions. Here, we investigated the genetic and epigenetic variations and their ecological correlates in R. oldhamii. Genetic and epigenetic variations were surveyed using amplified fragment length polymorphism (AFLP) and methylation-sensitive amplification polymorphism (MSAP), respectively. Using variation partitioning by redundant analysis (RDA), we examined the pure and spatially structured environmental effects and pure spatial factors on genetic and epigenetic variations among individuals collected from 18 localities across R. oldhamii distribution range in Taiwan. We found that environments compared to geographic isolation among sites explained more genetic and epigenetic variations. Patchy distribution of the contemporary R. oldhamii populations was revealed by correlograms with patch size of approximately around 20-0?km based on the total genetic and epigenetic data. Spatial variables derived from the method of principal coordinates of neighbor matrices (PCNM), including PCNM3, PCNM5, PCNM7, and PCNM8 representing biotic processes, such as individual dispersal, were found to be important influencing potentially adaptive genetic and epigenetic variations. Annual mean temperature, annual precipitation, precipitation of the warmest quarter, aspect, slope, and soil moisture were the most important environmental variables influencing potentially adaptive genetic and epigenetic variations and could be particularly important for the evolution of local adaptation in R. oldhamii.