ArticleAnimal bioscience2024
Genetic variation analysis of Guanling cattle based on whole-genome resequencing.
Article in Animal bioscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Transcriptome-Wide m6A Methylation Landscape of Longissimus Dorsi Muscle in Indigenous Guizhou Cattle.Life (Basel, Switzerland) · 2026Article
- Genetic admixture and adaptive signatures of Guanling cattle revealed by whole-genome sequence.BMC genomics · 2026Article
- Skin transcriptomic and selection signature analyses identifyFrontiers in genetics · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
objectiveThe 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.
methodsIn this study, we sequenced the whole genome of 3 Guanling cattle in Guizhou province using the Illumina HiSeq cBo sequencing platform. And, high- multiplex polymerase chain reaction technology was employed to detect high-quality single nucleotide polymorphism (SNP) sites of other 55 Guanling cattle.
resultsOur 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.
conclusionThese 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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