@article{b8883c2c23e347dbb709563b3c31f032,
title = "Evolutionary origin of genomic structural variations in domestic yaks",
abstract = "Yak has been subject to natural selection, human domestication and interspecific introgression during its evolution. However, genetic variants favored by each of these processes have not been distinguished previously. We constructed a graph-genome for 47 genomes of 7 cross-fertile bovine species. This allowed detection of 57,432 high-resolution structural variants (SVs) within and across the species, which were genotyped in 386 individuals. We distinguished the evolutionary origins of diverse SVs in domestic yaks by phylogenetic analyses. We further identified 334 genes overlapping with SVs in domestic yaks that bore potential signals of selection from wild yaks, plus an additional 686 genes introgressed from cattle. Nearly 90% of the domestic yaks were introgressed by cattle. Introgression of an SV spanning the KIT gene triggered the breeding of white domestic yaks. We validated a significant association of the selected stratified SVs with gene expression, which contributes to phenotypic variations. Our results highlight that SVs of different origins contribute to the phenotypic diversity of domestic yaks.",
keywords = "Humans, Cattle/genetics, Animals, Phylogeny, Oncogenes, Genomic Structural Variation, Breeding, Domestication",
author = "Xinfeng Liu and Wenyu Liu and Lenstra, {Johannes A} and Zeyu Zheng and Xiaoyun Wu and Jiao Yang and Bowen Li and Yongzhi Yang and Qiang Qiu and Hongyu Liu and Kexin Li and Chunnian Liang and Xian Guo and Xiaoming Ma and Abbott, {Richard J} and Minghui Kang and Ping Yan and Jianquan Liu",
note = "Funding Information: This work was supported by the Second Tibetan Plateau Scientific Expedition and Research program (Grant no. 2019QZKK0502 to J.Q.L.), Agricultural Science and Technology Innovation Program (Grant no. 25-LZIHPS-01 to P.Y.), National Natural Science Foundation of China (Grant no. U22A20447 to B.W.L.), National Key Research and Development Programs (Grant no. 2021YFD1200901 to K.X.L.), National Youth Talent Support Program (to Q.Q.) and Lanzhou University University{\textquoteright}s “Double First-Class” Guided Project Team Building-Funding-Research Startup Fee and International Collaboration 111 Programme (Grant no. BP0719040). All the computation works were supported by the Big Data Computing Platform for Western Ecological Environment and Regional Development, and the Supercomputing Center of Lanzhou University. Publisher Copyright: {\textcopyright} 2023, Springer Nature Limited.",
year = "2023",
month = dec,
doi = "10.1038/s41467-023-41220-x",
language = "English",
volume = "14",
pages = "1--14",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
number = "1",
}