Animals (Aug 2022)

Trait Analysis in Domestic Rabbits (<i>Oryctolagus cuniculus f. domesticus)</i> Using SNP Markers from Genotyping-by-Sequencing Data

  • Congyan Li,
  • Yuying Li,
  • Jie Zheng,
  • Zhiqiang Guo,
  • Xiuli Mei,
  • Min Lei,
  • Yongjun Ren,
  • Xiangyu Zhang,
  • Cuixia Zhang,
  • Chao Yang,
  • Li Tang,
  • Yang Ji,
  • Rui Yang,
  • Jifeng Yu,
  • Xiaohong Xie,
  • Liangde Kuang

DOI
https://doi.org/10.3390/ani12162052
Journal volume & issue
Vol. 12, no. 16
p. 2052

Abstract

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The domestic rabbit (Oryctolagus cuniculus f. domesticus) is a very important variety in biomedical research and agricultural animal breeding. Due to the different geographical areas in which rabbit breeds originated, and the long history of domestication/artificial breeding, rabbits have experienced strong selection pressure, which has shaped many traits of most rabbit varieties, such as color and weight. An efficient genome-wide single-nucleotide polymorphism (SNP) detection strategy is genotyping-by-sequencing (GBS), which has been widely used in many organisms. This study attempted to explore bi-allelic SNPs associated with fur color and weight-related traits using GBS in five rabbit breeds. The data consisted of a total 831,035 SNPs in 150 individuals from Californian rabbits (CF), German Zika rabbits (ZK), Qixing rabbits (QX), Sichuan grey rabbits (SG), and Sichuan white rabbits (SW). In addition, these five breeds of rabbits were obviously independent populations, with high genetic differentiation among breeds and low genetic diversity within breeds. A total of 32,144 SNP sites were identified by selective sweep among the different varieties. The genes that carried SNP loci in these selected regions were related to important traits (fur color and weight) and signal pathways, such as the MAPK/ERK signaling pathway and the Hippo signaling pathway. In addition, genes related to fur color and weight were identified, such as ASIPs, MITFs and KITs, ADCY3s, YAPs, FASs, and ACSL5s, and they had more SNP sites. The research offers the foundation for further exploration of molecular genetic markers of SNPs that are related to traits.

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