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Whole genome resequencing reveals the genetic contribution of Kazakh and Swiss Brown cattle to a population of Xinjiang Brown cattle.

Authors :
Chen, Qiuming
Xu, Lei
Zhang, Menghua
Zhang, Tao
Yan, Mengjie
Zhai, Manjun
Huang, Xixia
Source :
Gene. Sep2022, Vol. 839, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

• Xinjiang Brown cattle had 9.88% Kazakh cattle and 90.12% Swiss Brown cattle inheritance. • Kazakh cattle contribute to the environmental adaptation in Xinjiang Brown cattle. • Swiss Brown cattle contribute to the production performance in Xinjiang Brown cattle. Xinjiang Brown cattle is characterized by wide environmental adaptation from its female parent (Kazakh cattle) and good production performance from its male parent (Swiss Brown cattle). However, the genetic basis underlying these characteristics has not been explored. Here we compared 50 genomes of Xinjiang Brown cattle to the genomes of other eight breeds worldwide to analyze patterns of genetic variation in the Xinjiang Brown cattle. We found canonical genomic characteristics of cross breed with the lowest linkage disequilibrium and the highest effective population size. At the global level, Xinjiang Brown cattle had 9.88% Kazakh cattle and 90.12% Swiss Brown cattle inheritance. Our local ancestry inference revealed the segments with the excess of Kazakh cattle blood enriched in genes or pathways involved in digestion, absorption, metabolism and disease. More importantly, we also observed the completely fixed haplotypes inherited from Swiss Brown cattle harboring genes (LCORL , GHR , MEF2D , PCSK1 and MSRB3), KEGG pathways, cattle QTLs or human NHGRI GWAS catalog related to body measurement and growth traits. Our findings will not only help understand the process of cross breeding but can provide basic materials for further QTL mapping and improvement of important traits in Xinjiang Brown cattle. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03781119
Volume :
839
Database :
Academic Search Index
Journal :
Gene
Publication Type :
Academic Journal
Accession number :
158291650
Full Text :
https://doi.org/10.1016/j.gene.2022.146725