ArticleInternational journal of molecular sciences2015
Validation of PDE9A Gene Identified in GWAS Showing Strong Association with Milk Production Traits in Chinese Holstein.
Article in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 22 citations in OpenAlex.
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- Genome Wide Prediction, Mapping and Development of Genomic Resources of Mastitis Associated Genes in Water Buffalo.Frontiers in veterinary science · 2021Article
- Comparative Signatures of Selection Analyses Identify Loci Under Positive Selection in the Murrah Buffalo of India.Frontiers in genetics · 2021Article
- Determination of genetic associations between indels in 11 candidate genes and milk composition traits in Chinese Holstein population.BMC genetics · 2019Article
- A system-based analysis of the genetic determinism of udder conformation and health phenotypes across three French dairy cattle breeds.PloS one · 2018Article
- A genome scan for milk production traits in dairy goats reveals two new mutations in Dgat1 reducing milk fat content.Scientific reports · 2017Article
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7 authors at 1 institution in 2 countries.
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Abstract
Phosphodiesterase9A (PDE9A) is a cyclic guanosine monophosphate (cGMP)-specific enzyme widely expressed among the tissues, which is important in activating cGMP-dependent signaling pathways. In our previous genome-wide association study, a single nucleotide polymorphism (SNP) (BTA-55340-no-rs(b)) located in the intron 14 of PDE9A, was found to be significantly associated with protein yield. In addition, we found that PDE9A was highly expressed in mammary gland by analyzing its mRNA expression in different tissues. The objectives of this study were to identify genetic polymorphisms of PDE9A and to determine the effects of these variants on milk production traits in dairy cattle. DNA sequencing identified 11 single nucleotide polymorphisms (SNPs) and six SNPs in 5' regulatory region were genotyped to test for the subsequent association analyses. After Bonferroni correction for multiple testing, all these identified SNPs were statistically significant for one or more milk production traits (p < 0.0001~0.0077). Interestingly, haplotype-based association analysis revealed similar effects on milk production traits (p < 0.01). In follow-up RNA expression analyses, two SNPs (c.-1376 G>A, c.-724 A>G) were involved in the regulation of gene expression. Consequently, our findings provide confirmatory evidences for associations of PDE9A variants with milk production traits and these identified SNPs may serve as genetic markers to accelerate Chinese Holstein breeding program.
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