Incorporating genetic load contributes to predicting Arabidopsis thaliana's response to climate change

文献类型： 外文期刊

第一作者： Jiang, Juan

作者： Jiang, Juan;Chen, Jia-Fu;Li, Xin-Tong;Guo, Ya-Long;Jiang, Juan;Chen, Jia-Fu;Li, Xin-Tong;Guo, Ya-Long;Jiang, Juan;Chen, Jia-Fu;Li, Xin-Tong;Guo, Ya-Long;Wang, Li;Mao, Jian-Feng;Wang, Bao-Sheng

作者机构：

期刊名称：NATURE COMMUNICATIONS （ 影响因子：15.7； 五年影响因子：17.2 ）

ISSN：

年卷期： 2025 年 16 卷 1 期

页码：

收录情况： SCI

摘要： Understanding how species respond to climate change can facilitate species conservation and crop breeding. Current prediction frameworks about population vulnerability focused on predicting range shifts or local adaptation but ignored genetic load, which is also crucial for adaptation. By analyzing 1115 globally distributed Arabidopsis thaliana natural accessions, we find that effective population size (Ne) is the major contributor of genetic load variation, both along genome and among populations, and can explain 74-94% genetic load variation in natural populations. Intriguingly, Ne affects genetic load by changing both effectiveness of purifying selection and GC biased gene conversion strength. In particular, by incorporating genetic load, genetic offset and species distribution models (SDM), we predict that, the populations at species' range edge are generally at higher risk. The populations at the eastern range perform poorer in all aspects, southern range have higher genetic offset and lower SDM suitability, while northern range have higher genetic load. Among the diverse natural populations, the Yangtze River basin population is the most vulnerable population under future climate change. Overall, here we deciphered the driving forces of genetic load in A. thaliana, and incorporated SDM, local adaptation and genetic load to predict the fate of populations under future climate change.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序