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Genome-wide association study provided insights into the polled phenotype and polled intersex syndrome (PIS) in goats

Authors :
Fuhong Zhang
Qingqing Liu
Ping Gong
Yaling Wang
Chenbo Shi
Lu Zhu
Jianqing Zhao
Weiwei Yao
Jun Luo
Source :
BMC Genomics, Vol 25, Iss 1, Pp 1-11 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background Breeding polled goats is a welfare-friendly approach for horn removal in comparison to invasive methods. To gain a comprehensive understanding of the genetic basis underlying polledness in goats, we conducted whole-genome sequencing of 106 Xinong Saanen dairy goats, including 33 horned individuals, 70 polled individuals, and 3 polled intersexuality syndrome (PIS) individuals. Methods The present study employed a genome-wide association study (GWAS) and linkage disequilibrium (LD) analysis to precisely map the genetic locus underlying the polled phenotype in goats. Results The analysis conducted in our study revealed a total of 320 genome-wide significant single nucleotide polymorphisms (SNPs) associated with the horned/polled phenotype in goats. These SNPs exhibited two distinct peaks on chromosome 1, spanning from 128,817,052 to 133,005,441 bp and from 150,336,143 to 150,808,639 bp. The present study identified three genome-wide significant SNPs, namely Chr1:129789816, Chr1:129791507, and Chr1:129791577, as potential markers of PIS-affected goats. The results of our LD analysis suggested a potential association between MRPS22 and infertile intersex individuals, as well as a potential association between ERG and the polled trait in goats. Conclusion We have successfully identified three marker SNPs closely linked to PIS, as well as several candidate genes associated with the polled trait in goats. These results may contribute to the development of SNP chips for early prediction of PIS in goats, thereby facilitating breeding programs aimed at producing fertile herds with polled traits.

Details

Language :
English
ISSN :
14712164
Volume :
25
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.540c43c89452495ba0c596d7d334807d
Document Type :
article
Full Text :
https://doi.org/10.1186/s12864-024-10568-9