Integrating Sequence-based GWAS and RNA-Seq Provides Novel Insights into the Genetic Basis of Mastitis and Milk Production in Dairy Cattle

被引:67
作者
Fang, Lingzhao [1 ,2 ,3 ]
Sahana, Goutam [1 ]
Su, Guosheng [1 ]
Yu, Ying [2 ,3 ]
Zhang, Shengli [2 ,3 ]
Lund, Mogens Sando [1 ]
Sorensen, Peter [1 ]
机构
[1] Aarhus Univ, Ctr Quantitat Genet & Genom, Dept Mol Biol & Genet, DK-8830 Tjele, Denmark
[2] China Agr Univ, Coll Anim Sci & Technol, Key Lab Anim Genet Breeding & Reprod, Minist Agr, Beijing 100193, Peoples R China
[3] China Agr Univ, Coll Anim Sci & Technol, Natl Engn Lab Anim Breeding, Beijing 100193, Peoples R China
关键词
INNATE IMMUNE-RESPONSES; GENOME-WIDE ASSOCIATION; COMPLEX TRAITS; BIOLOGICAL PATHWAYS; CLINICAL MASTITIS; EXPRESSION; HOLSTEIN; LIVER; INTRAMAMMARY; VARIANCE;
D O I
10.1038/srep45560
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Connecting genome-wide association study (GWAS) to biological mechanisms underlying complex traits is a major challenge. Mastitis resistance and milk production are complex traits of economic importance in the dairy sector and are associated with intra-mammary infection (IMI). Here, we integrated IMI-relevant RNA-Seq data from Holstein cattle and sequence-based GWAS data from three dairy cattle breeds (i.e., Holstein, Nordic red cattle, and Jersey) to explore the genetic basis of mastitis resistance and milk production using post-GWAS analyses and a genomic feature linear mixed model. At 24 h post-IMI, genes responsive to IMI in the mammary gland were preferentially enriched for genetic variants associated with mastitis resistance rather than milk production. Response genes in the liver were mainly enriched for variants associated with mastitis resistance at an early time point (3 h) post-IMI, whereas responsive genes at later stages were enriched for associated variants with milk production. The up- and down-regulated genes were enriched for associated variants with mastitis resistance and milk production, respectively. The patterns were consistent across breeds, indicating that different breeds shared similarities in the genetic basis of these traits. Our approaches provide a framework for integrating multiple layers of data to understand the genetic architecture underlying complex traits.
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页数:16
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