Abstract
Wild animals and plants have developed a variety of adaptive traits driven by adaptive evolution, an important strategy for species survival and persistence. Uncovering the molecular mechanisms of adaptive evolution is the key to understanding species diversification, phenotypic convergence, and inter-species interaction. As the genome sequences of more and more non-model organisms are becoming available, the focus of studies on molecular mechanisms of adaptive evolution has shifted from the candidate gene method to genetic mapping based on genome-wide scanning. In this study, we reviewed the latest research advances in wild animals and plants, focusing on adaptive traits, convergent evolution, and coevolution. Firstly, we focused on the adaptive evolution of morphological, behavioral, and physiological traits. Secondly, we reviewed the phenotypic convergences of life history traits and responding to environmental pressures, and the underlying molecular convergence mechanisms. Thirdly, we summarized the advances of coevolution, including the four main types: mutualism, parasitism, predation and competition. Overall, these latest advances greatly increase our understanding of the underlying molecular mechanisms for diverse adaptive traits and species interaction, demonstrating that the development of evolutionary biology has been greatly accelerated by multi-omics technologies. Finally, we highlighted the emerging trends and future prospects around the above three aspects of adaptive evolution.
Keywords: adaptive evolution, adaptive trait, coevolution, comparative genomics, convergent evolution, genetic convergence, molecular mechanism, mutualism, parasitism, phenotype convergence
Acknowledgements
This work was supported by the National Natural Science Foundation of China (31821001), and the Strategic Priority Research Program of Chinese Academy of Sciences (XDB31000000). We thank Simin Chai for help with manuscript preparation.
Footnotes
Compliance and ethics
The author(s) declare that they have no conflict of interest.
Contributed equally to this work
Contributor Information
Yibo Hu, Email: ybhu@ioz.ac.cn.
Li Yu, Email: yuli@ynu.edu.cn.
Yalong Guo, Email: yalong.guo@ibcas.ac.cn.
Peng Shi, Email: ship@mail.kiz.ac.cn.
Shuangquan Huang, Email: hsq@ccnu.edu.cn.
Guang Yang, Email: gyang@njnu.edu.cn.
Suhua Shi, Email: lssssh@mail.sysu.edu.cn.
Fuwen Wei, Email: weifw@ioz.ac.cn.
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