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

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 understa...

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Autor principal: Lopdell, Thomas John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000085/
https://www.ncbi.nlm.nih.gov/pubmed/36899768
http://dx.doi.org/10.3390/ani13050911
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author Lopdell, Thomas John
author_facet Lopdell, Thomas John
author_sort Lopdell, Thomas John
collection PubMed
description 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. ABSTRACT: 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.
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spelling pubmed-100000852023-03-11 Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in Cattle Lopdell, Thomas John Animals (Basel) Review 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. ABSTRACT: 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. MDPI 2023-03-02 /pmc/articles/PMC10000085/ /pubmed/36899768 http://dx.doi.org/10.3390/ani13050911 Text en © 2023 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Lopdell, Thomas John
Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in Cattle
title Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in Cattle
title_full Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in Cattle
title_fullStr Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in Cattle
title_full_unstemmed Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in Cattle
title_short Using QTL to Identify Genes and Pathways Underlying the Regulation and Production of Milk Components in Cattle
title_sort using qtl to identify genes and pathways underlying the regulation and production of milk components in cattle
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000085/
https://www.ncbi.nlm.nih.gov/pubmed/36899768
http://dx.doi.org/10.3390/ani13050911
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