期刊
JOURNAL OF DAIRY SCIENCE
卷 104, 期 2, 页码 1928-1950出版社
ELSEVIER SCIENCE INC
DOI: 10.3168/jds.2020-18241
关键词
feed efficiency; Holstein; Jersey; RNA-sequencing
资金
- Ontario Ministry of Agriculture, Food, and Rural Affairs (OMAFRA
- Ontario, Canada)
- Ontario Ministry of Research and Innovation, Agriculture and Agri-Food Canada (AAFC, Ontario, Canada)
- Efficient Dairy Genome Project - Genome Canada (Ottawa)
- Genome Alberta (Calgary, Canada)
- Ontario Genomics (Toronto, Canada)
- Alberta Ministry of Agriculture (Edmonton, Canada)
- Ontario Ministry of Research and Innovation (Toronto, Canada)
- Ontario Ministry of Agriculture, Food and Rural Affairs (Guelph, Canada)
- Canadian Dairy Network (Guelph)
- GrowSafe Systems (Airdrie, Canada)
- Alberta Milk (Edmonton, Canada)
- Sustainable Beef and Forage Science Cluster - Canadian Beef Cattle Check-Off
- Beef Cattle Research Council (BCRC
- Ontario, Canada)
- Alberta Beef Producers (Alberta, Canada)
- Alberta Cattle Feeders' Association (Alberta, Canada)
- Beef Farmers of Ontario (Ontario, Canada)
- La Federation des Productuers de bovins du Quebec (Quebec, Canada)
- Agriculture and Agri-Food Canada's Canadian Agricultural Partnership (Canada)
The study identified functional genetic variants and candidate genes associated with feed efficiency in dairy cattle using RNA-sequencing data from Holstein and Jersey cows. Common variants unique to low or high RFI groups in both breeds were identified, suggesting potential key genes regulating biological processes related to metabolism and immune function.
The identification of functional genetic variants and associated candidate genes linked to feed efficiency may help improve selection for feed efficiency in dairy cattle, providing economic and environmental benefits for the dairy industry. This study used RNA-sequencing data obtained from liver tissue from 9 Holstein cows [n = 5 low residual feed intake (RFI), n = 4 high RFI] and 10 Jersey cows (n = 5 low RFI, n = 5 high RFI), which were selected from a single population of 200 animals. Using RNA-sequencing, 3 analyses were performed to identify: (1) variants within low or high RFI Holstein cattle; (2) variants within low or high RFI Jersey cattle; and (3) variants within low or high RFI groups, which are common across both Holstein and Jersey cattle breeds. From each analysis, all variants were filtered for moderate, modifier, or high functional effect, and colocalized quantitative trait loci (QTL) classes, enriched biological processes, and co-localized genes related to these variants, were identified. The overlapping of the resulting genes co-localized with functional SNP from each analysis in both breeds for low or high RFI groups were compared. For the first two analyses, the total number of candidate genes associated with moderate, modifier, or high functional effect variants fixed within low or high RFI groups were 2,810 and 3,390 for Holstein and Jersey breeds, respectively. The major QTL classes co-localized with these variants included milk and reproduction QTL for the Holstein breed, and milk, production, and reproduction QTL for the Jersey breed. For the third analysis, the common variants across both Holstein and Jersey breeds, uniquely fixed within low or high RFI groups were identified, revealing a total of 86,209 and 111,126 functional variants in low and high RFI groups, respectively. Across all 3 analyses for low and high RFI cattle, 12 and 31 co-localized genes were overlapping, respectively. Among the overlapping genes across breeds, 9 were commonly detected in both the low and high RH groups (INSRR, CSK, DYNC1H1, GAB1, KAT2B, RXRA, SHC1, TRRAP, PIK3CB), which are known to play a key role in the regulation of biological processes that have high metabolic demand and are related to cell growth and regeneration, metabolism, and immune function. The genes identified and their associated functional variants may serve as candidate genetic markers and can be implemented into breeding programs to help improve the selection for feed efficiency in dairy cattle.
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