A Whole-Genome Scan Revealed Genomic Features and Selection Footprints of Mengshan Cattle

(1) Background: Mengshan cattle from the Yimeng mountainous region in China stand out as a unique genetic resource, known for their adaptive traits and environmental resilience. However, these cattle are currently endangered and comprehensive genomic characterization remains largely unexplored. This study aims to address this gap by investigating the genomic features and selection signals in Mengshan cattle. (2) Methods: Utilizing whole-genome resequencing data from 122 cattle, including 37 newly sequenced Mengshan cattle, we investigated population structure, genetic diversity, and selection signals. (3) Results: Our analyses revealed that current Mengshan cattle primarily exhibit European taurine cattle ancestry, with distinct genetic characteristics indicative of adaptive traits. We identified candidate genes associated with immune response, growth traits, meat quality, and neurodevelopment, shedding light on the genomic features underlying the unique attributes of Mengshan cattle. Enrichment analysis highlighted pathways related to insulin secretion, calcium signaling, and dopamine synapse, further elucidating the genetic basis of their phenotypic traits. (4) Conclusions: Our results provide valuable insights for further research and conservation efforts aimed at preserving this endangered genetic resource. This study enhances the understanding of population genetics and underscores the importance of genomic research in informing genetic resources and conservation initiatives for indigenous cattle breeds.

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Publication Details

Journal
Genes
Published
2024-08-23
DOI
https://doi.org/10.3390/genes15091113
Citations
5
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
2.75

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article

A Whole-Genome Scan Revealed Genomic Features and Selection Footprints of Mengshan Cattle

Chuanqing Li, Ningbo Chen, Chuzhao Lei, Kaixing Qu et al.
5 citations
Genes
Genetic and phenotypic traits in livestock
2.75
article

A Whole-Genome Scan Revealed Genomic Features and Selection Footprints of Mengshan Cattle

Chuanqing Li, Ningbo Chen, Chuzhao Lei, Kaixing Qu, Xingshan Qi, Weidong Ma, Zulfiqar Ahmed, Shuang� Li, Yang Lyu, Haijian Cheng, Ziao Liu
article en
5 citations

Abstract

(1) Background: Mengshan cattle from the Yimeng mountainous region in China stand out as a unique genetic resource, known for their adaptive traits and environmental resilience. However, these cattle are currently endangered and comprehensive genomic characterization remains largely unexplored. This study aims to address this gap by investigating the genomic features and selection signals in Mengshan cattle. (2) Methods: Utilizing whole-genome resequencing data from 122 cattle, including 37 newly sequenced Mengshan cattle, we investigated population structure, genetic diversity, and selection signals. (3) Results: Our analyses revealed that current Mengshan cattle primarily exhibit European taurine cattle ancestry, with distinct genetic characteristics indicative of adaptive traits. We identified candidate genes associated with immune response, growth traits, meat quality, and neurodevelopment, shedding light on the genomic features underlying the unique attributes of Mengshan cattle. Enrichment analysis highlighted pathways related to insulin secretion, calcium signaling, and dopamine synapse, further elucidating the genetic basis of their phenotypic traits. (4) Conclusions: Our results provide valuable insights for further research and conservation efforts aimed at preserving this endangered genetic resource. This study enhances the understanding of population genetics and underscores the importance of genomic research in informing genetic resources and conservation initiatives for indigenous cattle breeds.

GenesVol. 15(9)
Shandong Academy of Agricultural Sciences (CN), Chuxiong Normal University (CN), University of Poonch Rawalakot, University of Veterinary and Animal Sciences (PK), Northwest A&F University (CN)
Northwest A and F University
Life in Land
Openalex Percentile: Top 10%
Genetic and phenotypic traits in livestock
2.75
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