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Genetic variation analysis of Guanling cattle based on whole-genome resequencing.
Xu, Long Xin; Wang, Xin; Wu, Jun Da; Wang, Hua; Zhou, Wen Zhang; Liu, Jing; Ni, Meng Mneng; Zhang, Kai Kai; Yu, Bo; Lin, Rui Yi.
Afiliação
  • Xu LX; Institute of Animal Husbandry and Veterinary Science, Guizhou Academy of Agricultural Sciences, Guiyang, 550005, China.
  • Wang X; Institute of Animal Husbandry and Veterinary Science, Guizhou Academy of Agricultural Sciences, Guiyang, 550005, China.
  • Wu JD; Institute of Animal Husbandry and Veterinary Science, Guizhou Academy of Agricultural Sciences, Guiyang, 550005, China.
  • Wang H; Institute of Animal Husbandry and Veterinary Science, Guizhou Academy of Agricultural Sciences, Guiyang, 550005, China.
  • Zhou WZ; Institute of Animal Husbandry and Veterinary Science, Guizhou Academy of Agricultural Sciences, Guiyang, 550005, China.
  • Liu J; Institute of Animal Husbandry and Veterinary Science, Guizhou Academy of Agricultural Sciences, Guiyang, 550005, China.
  • Ni MM; College of Animal Sciences, Guizhou University, Guiyang, 550000, China.
  • Zhang KK; Guizhou Yellow Cattle Industry Group Co., Ltd, Guiyang, 550001, China.
  • Yu B; Institute of Animal Husbandry and Veterinary Science, Guizhou Academy of Agricultural Sciences, Guiyang, 550005, China.
  • Lin RY; Institute of Animal Husbandry and Veterinary Science, Guizhou Academy of Agricultural Sciences, Guiyang, 550005, China.
Anim Biosci ; 2024 Jun 27.
Article em En | MEDLINE | ID: mdl-38938024
ABSTRACT

Objective:

The objective of this study was to unravel the genetic traits of Guanling cattle, pinpoint genes advantageous for muscle growth, and lay a foundation for the preservation of genetic diversity and further analysis of regulation mechanism of important economic traits in local cattle breed.

Methods:

In this study, we sequenced the whole genome of 3 Guanling cattle in Guizhou province using the Illumina HiSeq cBo sequencing platform. And, high- multiplex PCR technology was employed to detect high-quality SNP sites of other 55 Guanling cattle.

Results:

Our study identified 166,411 non-synonymous SNPs (nsSNPs) and 42,423 insertions and deletions (indels). Through SNP annotation, gene function enrichment analysis, and comparing with Simmental, Angus, and Limousin cattle, we identified six genes (LEPR, AKAP9, SIX4, SPIDR, PRG4, FASN) which are potentially influential on meat quality traits, playing crucial roles in muscle growth, fat metabolism, and bodily support. We also examined polymorphisms at seven SNP sites in Guanling cattle and found that all seven were in Hardy-Weinberg equilibrium.

Conclusion:

These findings suggested that these gene sites are stable and widespread in the Guanling cattle population. Our research lays the groundwork for future genetic enhancement and variety identification of Guanling cattle.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Anim Biosci Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Anim Biosci Ano de publicação: 2024 Tipo de documento: Article