學術資源整合系統-相關推薦
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| 作者 | Huang, C.L; C.T. Chang; B.H. Huang; J.D. Chung, J.H. Chen, Y.C. Chiang, and S.Y.Hwang |
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| 出版日期 | 2015 |
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| 著作名稱 | Genetic relationships and ecological divergence in Salix species and populations in Taiwan
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| 刊名 | Tree Genetics and Genomes |
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| 卷 | 11 |
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| 期 | 3 |
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| 頁數 | 1-17 |
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| 摘要 | Linking ecology with evolutionary biology is impor- tant to understand how environments drive population and spe- cies divergence. Phenotypically diverse Salix species, such as lowland riparian willow trees and middle- to high-elevation multistemmed shrubs and alpine dwarf shrubs, provide oppor- tunities for studying genetic divergence driven by ecological factors. We used amplified fragment length polymorphism (AFLP) to quantify the genetic variation of 185 individuals from nine populations of four Salix species in Taiwan. Our phyloge- netic analyses distinguished two riparian species and the sepa- ration of riparian species from multistemmed and dwarf shrub species. Variance partitioning for the total data found that environment explained a substantially larger proportion of ge- netic variation than geography. However, no genetic variation was explained by geography alone when only compared within and between species. Spatially structured regional environmen- tal effects explained more variation than pure environments in most comparisons within and between species, suggesting that unmeasured environmental variables and/or past demographic histories played important roles in shaping population and spe- cies divergence. Based on forward selection analysis, annual mean temperature, aspect, and fraction of absorbed photosyn- thetically active radiation were the most influential ecological factors in shaping genetic variation within and between species. Nevertheless, different combinations of environmental variables correlated significantly with genetic variation within and be- tween species. We identified eight AFLP loci that potentially evolved under selection intraspecifically using different outlier detection methods. These loci correlated with more than one environmental variable, suggesting local adaptation along envi- ronmental gradients at the population level. |
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| 系統號 | NO000003875 |
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