Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in Cattle

被引:2
|
作者
Lopdell, Thomas John [1 ]
机构
[1] Livestock Improvement Corp, Hamilton 3240, New Zealand
来源
ANIMALS | 2023年 / 13卷 / 05期
关键词
mammary biology; mammogenesis; lactation; lactogenesis; quantitative trait loci; QUANTITATIVE TRAIT LOCI; UNION-OF-PHARMACOLOGY; SINGLE NUCLEOTIDE POLYMORPHISMS; MAMMARY EPITHELIAL-CELLS; GROWTH-HORMONE RECEPTOR; MOLECULAR RELATIONSHIPS; DAIRY-CATTLE; LACTOFERRIN CONCENTRATION; FUNCTIONAL-ORGANIZATION; TRANSMEMBRANE DOMAIN;
D O I
10.3390/ani13050911
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
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.
引用
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页数:21
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