Structural variant landscapes reveal convergent signatures of evolution in sheep and goats

Author:

Yang Ji,Wang Dong-Feng,Huang Jia-Hui,Zhu Qiang-Hui,Luo Ling-Yun,Lu Ran,Xie Xing-Long,Salehian-Dehkordi Hosein,Esmailizadeh Ali,Liu George E.,Li Meng-HuaORCID

Abstract

Abstract Background Sheep and goats have undergone domestication and improvement to produce similar phenotypes, which have been greatly impacted by structural variants (SVs). Here, we report a high-quality chromosome-level reference genome of Asiatic mouflon, and implement a comprehensive analysis of SVs in 897 genomes of worldwide wild and domestic populations of sheep and goats to reveal genetic signatures underlying convergent evolution. Results We characterize the SV landscapes in terms of genetic diversity, chromosomal distribution and their links with genes, QTLs and transposable elements, and examine their impacts on regulatory elements. We identify several novel SVs and annotate corresponding genes (e.g., BMPR1B, BMPR2, RALYL, COL21A1, and LRP1B) associated with important production traits such as fertility, meat and milk production, and wool/hair fineness. We detect signatures of selection involving the parallel evolution of orthologous SV-associated genes during domestication, local environmental adaptation, and improvement. In particular, we find that fecundity traits experienced convergent selection targeting the gene BMPR1B, with the DEL00067921 deletion explaining ~10.4% of the phenotypic variation observed in goats. Conclusions Our results provide new insights into the convergent evolution of SVs and serve as a rich resource for the future improvement of sheep, goats, and related livestock.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

the Second Tibetan Plateau Scientific Expedition and Research Program

Iran National Science Foundation

Project of Northern Agriculture and Livestock Husbandry Technical Innovation Center, Chinese Academy of Agricultural Sciences

Strategic Priority Research Program of Chinese Academy of Sciences

Publisher

Springer Science and Business Media LLC

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