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Gene Mapping and Gene-Set Analysis for Milk Fever Incidence in Holstein Dairy Cattle

Milk fever is an important metabolic disorder that affects dairy cows around parturition. It is associated with a breakdown in the mechanisms of calcium homeostasis, resulting in very low blood calcium levels (hypocalcemia). The main objective of this study was to dissect the genetic basis underlyin...

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Autores principales: Pacheco, Hendyel A., da Silva, Simone, Sigdel, Anil, Mak, Chun Kuen, Galvão, Klibs N., Texeira, Rodrigo A., Dias, Laila T., Peñagaricano, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192420/
https://www.ncbi.nlm.nih.gov/pubmed/30364193
http://dx.doi.org/10.3389/fgene.2018.00465
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author Pacheco, Hendyel A.
da Silva, Simone
Sigdel, Anil
Mak, Chun Kuen
Galvão, Klibs N.
Texeira, Rodrigo A.
Dias, Laila T.
Peñagaricano, Francisco
author_facet Pacheco, Hendyel A.
da Silva, Simone
Sigdel, Anil
Mak, Chun Kuen
Galvão, Klibs N.
Texeira, Rodrigo A.
Dias, Laila T.
Peñagaricano, Francisco
author_sort Pacheco, Hendyel A.
collection PubMed
description Milk fever is an important metabolic disorder that affects dairy cows around parturition. It is associated with a breakdown in the mechanisms of calcium homeostasis, resulting in very low blood calcium levels (hypocalcemia). The main objective of this study was to dissect the genetic basis underlying milk fever incidence in Holstein cattle. Data consisted of 31.6 k producer-recorded lactation incidence records from 15.3 k cows. The analysis included a whole-genome scan and a subsequent gene-set analysis in order to reveal individual genes, genetic mechanisms and biological pathways implicated in the incidence of periparturient hypocalcemia. The association analysis identified at least eight different genomic regions that explain considerable amounts of additive genetic variance for milk fever incidence. Notably, some of these regions harbor genes, such as CYP27A1, CYP2J2, GC, SNAI2, and PIM1, that are directly involved in vitamin D metabolic pathway. Moreover, the gene-set analysis revealed several functional terms, such as calcium ion binding, calcium ion transportation, T cell differentiation, B cell activation, protein phosphorylation, apoptosis, and protein kinase activity, among others, that could be implicated in the development of periparturient hypocalcemia. Overall, this comprehensive study contributes to a better understanding of the genetic control of this complex disease. In addition, these findings may contribute to the development of novel breeding strategies for reducing the incidence of milk fever in dairy cattle.
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spelling pubmed-61924202018-10-24 Gene Mapping and Gene-Set Analysis for Milk Fever Incidence in Holstein Dairy Cattle Pacheco, Hendyel A. da Silva, Simone Sigdel, Anil Mak, Chun Kuen Galvão, Klibs N. Texeira, Rodrigo A. Dias, Laila T. Peñagaricano, Francisco Front Genet Genetics Milk fever is an important metabolic disorder that affects dairy cows around parturition. It is associated with a breakdown in the mechanisms of calcium homeostasis, resulting in very low blood calcium levels (hypocalcemia). The main objective of this study was to dissect the genetic basis underlying milk fever incidence in Holstein cattle. Data consisted of 31.6 k producer-recorded lactation incidence records from 15.3 k cows. The analysis included a whole-genome scan and a subsequent gene-set analysis in order to reveal individual genes, genetic mechanisms and biological pathways implicated in the incidence of periparturient hypocalcemia. The association analysis identified at least eight different genomic regions that explain considerable amounts of additive genetic variance for milk fever incidence. Notably, some of these regions harbor genes, such as CYP27A1, CYP2J2, GC, SNAI2, and PIM1, that are directly involved in vitamin D metabolic pathway. Moreover, the gene-set analysis revealed several functional terms, such as calcium ion binding, calcium ion transportation, T cell differentiation, B cell activation, protein phosphorylation, apoptosis, and protein kinase activity, among others, that could be implicated in the development of periparturient hypocalcemia. Overall, this comprehensive study contributes to a better understanding of the genetic control of this complex disease. In addition, these findings may contribute to the development of novel breeding strategies for reducing the incidence of milk fever in dairy cattle. Frontiers Media S.A. 2018-10-10 /pmc/articles/PMC6192420/ /pubmed/30364193 http://dx.doi.org/10.3389/fgene.2018.00465 Text en Copyright © 2018 Pacheco, da Silva, Sigdel, Mak, Galvão, Texeira, Dias and Peñagaricano. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Pacheco, Hendyel A.
da Silva, Simone
Sigdel, Anil
Mak, Chun Kuen
Galvão, Klibs N.
Texeira, Rodrigo A.
Dias, Laila T.
Peñagaricano, Francisco
Gene Mapping and Gene-Set Analysis for Milk Fever Incidence in Holstein Dairy Cattle
title Gene Mapping and Gene-Set Analysis for Milk Fever Incidence in Holstein Dairy Cattle
title_full Gene Mapping and Gene-Set Analysis for Milk Fever Incidence in Holstein Dairy Cattle
title_fullStr Gene Mapping and Gene-Set Analysis for Milk Fever Incidence in Holstein Dairy Cattle
title_full_unstemmed Gene Mapping and Gene-Set Analysis for Milk Fever Incidence in Holstein Dairy Cattle
title_short Gene Mapping and Gene-Set Analysis for Milk Fever Incidence in Holstein Dairy Cattle
title_sort gene mapping and gene-set analysis for milk fever incidence in holstein dairy cattle
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6192420/
https://www.ncbi.nlm.nih.gov/pubmed/30364193
http://dx.doi.org/10.3389/fgene.2018.00465
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