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

Genes - 23 Aug 2024

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

Abstract excerpt

(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)...

Topics

Animals
Cattle
Selection, Genetic
China
Genome
Genomics
Whole Genome Sequencing
Phenotype
Genetic Variation
Genetics, Population
Polymorphism, Single Nucleotide

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39336704
DOI: 10.3390/genes15091113
PMCID: PMC11431585

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