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Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in Cattle.
- Source :
- Animals (2076-2615); Mar2023, Vol. 13 Issue 5, p911, 21p
- Publication Year :
- 2023
-
Abstract
- Simple Summary: Milk and other dairy products are commonly consumed in many parts of the world. Dairy cattle, having millions of milk trait records, make excellent model species for understanding the genetics controlling the production of milk. This manuscript gives a summary of the current understanding of the genetic signals for milk production, in terms of the biological pathways they are involved with, and highlights a number of methods that can be used to identify the genes and variants underlying these signals. Knowledge of these variants will improve the ability of farmers and animal breeding companies to increase the rate of genetic gain for milk traits and enable the use of technologies such as gene editing. Milk is a complex liquid, and the concentrations of many of its components are under genetic control. Many genes and pathways are known to regulate milk composition, and the purpose of this review is to highlight how the discoveries of quantitative trait loci (QTL) for milk phenotypes can elucidate these pathways. The main body of this review focuses primarily on QTL discovered in cattle (Bos taurus) as a model species for the biology of lactation, and there are occasional references to sheep genetics. The following section describes a range of techniques that can be used to help identify the causative genes underlying QTL when the underlying mechanism involves the regulation of gene expression. As genotype and phenotype databases continue to grow and diversify, new QTL will continue to be discovered, and although proving the causality of underlying genes and variants remains difficult, these new data sets will further enhance our understanding of the biology of lactation. [ABSTRACT FROM AUTHOR]
- Subjects :
- MILK yield
LOCUS (Genetics)
GENETIC regulation
GENETIC variation
CATTLE
Subjects
Details
- Language :
- English
- ISSN :
- 20762615
- Volume :
- 13
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- Animals (2076-2615)
- Publication Type :
- Academic Journal
- Accession number :
- 162351612
- Full Text :
- https://doi.org/10.3390/ani13050911