Identifying Candidate Genes for Litter Size and Three Morphological Traits in Youzhou Dark Goats Based on Genome-Wide SNP Markers

This study aimed to reveal the potential genetic basis for litter size, coat colour, black middorsal stripe and skin colour by combining genome-wide association analysis (GWAS) and selection signature analysis and ROH detection within the Youzhou dark (YZD) goat population (n = 206) using the Illumi...

Full description

Saved in:
Bibliographic Details
Published inGenes Vol. 14; no. 6; p. 1183
Main Authors Sun, Xiaoyan, Niu, Qunhao, Jiang, Jing, Wang, Gaofu, Zhou, Peng, Li, Jie, Chen, Cancan, Liu, Liangjia, Xu, Lingyang, Ren, Hangxing
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 29.05.2023
MDPI
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:This study aimed to reveal the potential genetic basis for litter size, coat colour, black middorsal stripe and skin colour by combining genome-wide association analysis (GWAS) and selection signature analysis and ROH detection within the Youzhou dark (YZD) goat population (n = 206) using the Illumina GoatSNP54 BeadChip. In the GWAS, we identified one SNP (snp54094-scaffold824-899720) on chromosome 11 for litter size, two SNPs on chromosome 26 (snp11508-scaffold142-1990450, ) and chromosome 12 (snp55048-scaffold842-324525, ) for coat colour and one SNP on chromosome 18 (snp56013-scaffold873-22716, ) for the black middorsal stripe. In contrast, no SNPs were identified for skin colour. In selection signature analysis, 295 significant iHS genomic regions with a mean |iHS| score > 2.66, containing selection signatures encompassing 232 candidate genes were detected. In particular, 43 GO terms and one KEGG pathway were significantly enriched in the selected genes, which may contribute to the excellent environmental adaptability and characteristic trait formation during the domestication of YZD goats. In ROH detection, we identified 4446 ROH segments and 282 consensus ROH regions, among which nine common genes overlapped with those detected using the iHS method. Some known candidate genes for economic traits such as reproduction ( , , , , , , , , and ) and development and growth ( , , , , , , , and ) were revealed by iHS and ROH detection. Overall, this study is limited by the small population size, which affects the results of GWAS to a certain extent. Nevertheless, our findings could provide the first overview of the genetic mechanism underlying these important traits and provide novel insights into the future conservation and utilisation of Chinese goat germplasm resources.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
These authors contributed equally to this work.
ISSN:2073-4425
2073-4425
DOI:10.3390/genes14061183