Distribution and association study in copy number variation of KCNJ12 gene across four Chinese cattle populations.
Gene
; 689: 90-96, 2019 Mar 20.
Article
in En
| MEDLINE
| ID: mdl-30572095
ABSTRACT
Copy number variation is a large genome variation which usually happens in the noncoding-region, and it may occur at the locus associated with the functional gene to further influence the phenotype. Potassium inwardly-rectifying channel, subfamily J 12 (KCNJ12) gene expressed widely in cardiomyocytes and neurons, plays an important role in tumor therapy and muscle movement regulation. In this study, we detected the distribution of CNVs for KCNJ12 gene in 404 individuals belonging to four Chinese cattle breeds (NY, JX, JA and GF). We also investigated the KCNJ12 gene expression in different tissues of JX cattle. Additionally, we examined the association of two CNV regions (CNV1 1,600 bp, intron 1; CNV2 4,800 bp, intergenic) with growth traits. The statistical analyses indicated that the CNV1 is associated with the body length, rump length and weight in JX cattle population (Pâ¯<â¯0.05); and there has a significant association with the body length, chest circumference, and body weight in GF cattle (Pâ¯<â¯0.05).The CNV2 had a significant effect on the body length and body weight in JX cattle (Pâ¯<â¯0.05); the body length, chest circumference, rump length and body weight in GF cattle (Pâ¯<â¯0.01 or Pâ¯<â¯0.05). The copy numbers of KCNJ12 gene presented the negative correlations with the transcript level of gene in skeletal muscles (Pâ¯<â¯0.05). Our results provide evidence that CNV1 and CNV 2 in KCNJ12 are associated with growth traits in two cattle populations and may be used as candidates for marker-assisted selection and breeding management in cattle.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Body Weight
/
Cattle
/
Potassium Channels, Inwardly Rectifying
/
Body Size
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Animals
Country/Region as subject:
Asia
Language:
En
Journal:
Gene
Year:
2019
Document type:
Article