Selection signature analysis reveals genes underlying sheep milking performance
<p>Sheep milk is the most important feed resource for newborn lambs and an important food resource for humans. Sheep milk production and ingredients are influenced by genetic and environmental factors. In this study, we implemented selection signature analysis using Illumina Ovine SNP50 BeadCh...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-08-01
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| Series: | Archives Animal Breeding |
| Online Access: | https://www.arch-anim-breed.net/62/501/2019/aab-62-501-2019.pdf |
| Summary: | <p>Sheep milk is the most important feed resource for
newborn lambs and an important food resource for humans. Sheep milk production and ingredients are influenced by genetic and environmental
factors. In this study, we implemented selection signature analysis using
Illumina Ovine SNP50 BeadChip data of 78 meat Lacaune and 103 milk Lacaune sheep, which have similar genetic backgrounds, from the Sheep HapMap project to identify candidate genes related to ovine milk traits. Since different
methods can detect different variation types and complement each other, we
used a haplotype-based method (hapFLK) to implement selection signature
analysis. The results revealed six selection signature regions showing signs of being selected (<span class="inline-formula"><i>P</i><0.001</span>): chromosomes 1, 2, 3, 6, 13
and 18. In addition, 38 quantitative trait loci (QTLs) related to sheep milk performance were
identified in selection signature regions, which contain 334 candidate
genes. Of those, <i>SUCNR1</i> (succinate receptor 1) and <i>PPARGC1A</i> (PPARG coactivator 1 alpha) may be the most significant genes that affect sheep milking performance, which supply a significant indication for future studies to investigate candidate genes that play an important role in milk production and quality.</p> |
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| ISSN: | 0003-9438 2363-9822 |