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Genome-wide selection signatures analysis of litter size in Dazu black goats using single-nucleotide polymorphism.

Authors :
E GX
Duan XH
Zhang JH
Huang YF
Zhao YJ
Na RS
Zhao ZQ
Ma YH
Chu MX
Basang WD
Zhu YB
An TW
Luo XL
Han YG
Zeng Y
Source :
3 Biotech [3 Biotech] 2019 Sep; Vol. 9 (9), pp. 336. Date of Electronic Publication: 2019 Aug 17.
Publication Year :
2019

Abstract

Litter size is considered to be the most important index for estimating domestic animal productivity. The number of indigenous goats in China with higher litter sizes than those of commercial breeds in other countries may be helpful for accelerating genetic improvements in goat breeding. We performed a genome-wide selective sweep analysis of 31 Dazu black goats with extreme standard deviation in litter size within the third fetus to identify significant genomic regions and candidate genes through different analyses. The analysis identified a total of 33,917,703 variants, including 32,262,179 SNPs and 1,655,524 indels. In addition, two novel candidate genes ( LRP1B and GLRB ), which are related to litter size, were obtained with π, Tajima's D , πA / πB, and F <subscript>ST</subscript> at the individual level with a 95% threshold for each parameter. These two genes were annotated in five GO terms (localization, binding, macromolecular complex, membrane part, and membrane) and two pathways (long-term depression and neuroactive ligand-receptor interaction pathway). Regarding the result of linkage disequilibrium (LD) analysis, in LRP1B and GRID2, the high-yield Dazu black goats exhibit significantly different LD patterns from low-yield goats. Litter size variability has low heritability and is related to multiple complex factors found in domestic animals. Obtaining a clear explanation and significant signal by genome-wide selective sweep analysis with a small sample size is difficult. However, we investigated some candidate genes, particularly LRP1B and GLRB , which may provide useful information for further research.

Details

Language :
English
ISSN :
2190-572X
Volume :
9
Issue :
9
Database :
MEDLINE
Journal :
3 Biotech
Publication Type :
Report
Accession number :
31475088
Full Text :
https://doi.org/10.1007/s13205-019-1869-3