Genomic signals reveal past evolutionary dynamics of Quercus schottkyana and its response to future climate change
Genomic signals reveal past evolutionary dynamics of Quercus schottkyana and its response to future climate change
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基因组信号揭示了栎树过去的进化动态及其对未来气候变化的响应
DOI：
10.1111/jse.12703
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发表时间：
2020-11
影响因子：
3.7
通讯作者：
Deng Min
中科院分区：
文献类型：
--
作者：
Jiang Xiao-Long;Su Zhi-Hao;Xu Gang-Biao;Deng Min
Understanding the past and future evolutionary dynamics of dominant species in a forest is important for guiding decisions for biodiversity conservation, forest management, and vegetation restoration. This study used Quercus schottkyana, a dominant tree in subtropical evergreen broad‐leaved forests in southwest China, to investigate the influences of past environmental fluctuations and future changes in climate on the dynamics of tree demographics. Genomic data were obtained for 133 samples of Q. schottkyana from 22 populations using double‐digest genotyping by sequencing. The single‐nucleotide polymorphisms in the genome showed a uniform distribution. Based on principal component analysis and Admixture analysis, two distinct lineages and one mixed group were identified that corresponded to their geographical distribution. Approximate Bayesian computation analyses provided evidence that the divergence among Q. schottkyana populations could be driven by the collision between the Asian and Indian plates during the Miocene, and that climatic fluctuations in the late Pleistocene led to the introgression. The analysis of genotype‐environment relationships showed that annual precipitation and geographic distance were associated with spatial genetic variation. Populations of Q. schottkyana in the northern area of the Jinsha River basin were predicted to be the most vulnerable to future climate change. To increase genetic diversity in the northern Jinsha River basin and to buffer threats from future climate change, managers could use a mixture of local and alien seeds during forest restoration and management. This case study can promote further investigations into assessing how past and future climate change impacts genetic divergence and local adaptation of trees in forests.
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影响因子：
6.1
作者：
Jian‐Li Zhao;Yongmei Xia;C. Cannon;W. Kress;Qing‐Jun Li
通讯作者：
Jian‐Li Zhao;Yongmei Xia;C. Cannon;W. Kress;Qing‐Jun Li
影响因子：
5.8
作者：
Daniel C. Pope;S. Willett
通讯作者：
Daniel C. Pope;S. Willett
影响因子：
4.9
作者：
Yanhua Qu;Ruiying Zhang;Qing Quan;G. Song;Shou-Hsien Li;F. Lei
通讯作者：
Yanhua Qu;Ruiying Zhang;Qing Quan;G. Song;Shou-Hsien Li;F. Lei
影响因子：
4.9
作者：
T. Little;S. Cox;J. Vry;G. Batt
通讯作者：
T. Little;S. Cox;J. Vry;G. Batt
影响因子：
6.6
作者：
Revell, Liam J.
通讯作者：
Revell, Liam J.