Inicio  /  Agriculture  /  Vol: 13 Par: 1 (2023)  /  Artículo
ARTÍCULO
TITULO

DDIT3 Governs Milk Production Traits by Targeting IL-6 to Induce Apoptosis in Dairy Cattle

Xiaogang Cui    
Changqing Li    
Zhangqi Wei    
Hangting Meng    
Fengfeng Zhang    
Yue Liu    
Changxin Wu and Shaohua Yang    

Resumen

The mechanisms of modulating milk production traits remain largely unknown. Based on our previous RNA-seq, DDIT3 was presumed as a novel, promising candidate gene for regulating milk protein and fat traits in dairy cattle. To further detect the genetic effect of DDIT3 and its potential molecular mechanisms in regulating milk production traits in dairy cattle, here, we performed a genotype-phenotype association study. Two SNPs, g.-1194 C>T and g.-128 C>T, were significantly associated with MY (p = 0.0063), FY (p = 0.0001) and PY (p = 0.0216), respectively. A luciferase assay demonstrated that the allele T of g.-128 C>T increased the promoter activity by binding the HSF2, while allele C did not. To further reveal the molecular regulatory mechanisms, the DDIT3-knockdown MAC-T cells were established. It was observed that DDIT3 silencing could induce apoptosis and increase the number of PI-positive cells. Meanwhile, DDIT3 silencing led to increased expression of inflammatory markers, such as IL-6, IL6R, IL1B, IL7R, IL1RL2, IL1A, STAT1-5, MYC, IGFBP4, and IGFBP5, and especially for IL-6 (log2FC = 4.22; p = 3.49 × 10-112). Additionally, compared with the control group, increased lipid accumulation was found in the DDIT3-knockdown MAC-T cells. Thus, our results proved that lower expression of DDIT3 could result in increased lipid accumulation and apoptosis via up-regulating the expression of IL-6. These findings provided clues about the regulatory mechanisms of milk production traits in dairy cattle.

 Artículos similares

       
 
L. Gurovich, J. Stern     Pág. 35 - 42
Variabilidad espacial de la velocidad de infiltración del agua en el suelo. I. Generación de datosCiencia e Investigación Agraria, Revista latinoamericana en Ciencias de la Agricultura, está indexada en las siguientes bases de datos: Thomson ISI, Alerta ... ver más