Cargando…

Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity

We evaluated the relevance of the BovineHD Illumina SNP chip with respect to genes involved in epigenetic processes. Genotypes for 729,068 SNP on two tropical cattle breeds of Australia were used: Brahman (n = 2112) and Tropical Composite (n = 2550). We used data mining approaches to compile a list...

Descripción completa

Detalles Bibliográficos
Autores principales: Porto-Neto, Laercio R., Fortes, Marina R. S., McWilliam, Sean M., Lehnert, Sigrid A., Reverter, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4001012/
https://www.ncbi.nlm.nih.gov/pubmed/24795751
http://dx.doi.org/10.3389/fgene.2014.00089
_version_ 1782313686901194752
author Porto-Neto, Laercio R.
Fortes, Marina R. S.
McWilliam, Sean M.
Lehnert, Sigrid A.
Reverter, Antonio
author_facet Porto-Neto, Laercio R.
Fortes, Marina R. S.
McWilliam, Sean M.
Lehnert, Sigrid A.
Reverter, Antonio
author_sort Porto-Neto, Laercio R.
collection PubMed
description We evaluated the relevance of the BovineHD Illumina SNP chip with respect to genes involved in epigenetic processes. Genotypes for 729,068 SNP on two tropical cattle breeds of Australia were used: Brahman (n = 2112) and Tropical Composite (n = 2550). We used data mining approaches to compile a list of bovine protein-coding genes involved in epigenetic processes. These genes represent 9 functional categories that contain between one (histone demethylases) and 99 (chromatin remodeling factors) genes. A total of 3091 SNP mapped to positions within 3000 bp of the 193 coding regions of those genes, including 113 SNP in transcribed regions, 2738 in intronic regions and 240 in up- or down-stream regions. For all these SNP categories, we observed differences in the allelic frequencies between Brahman and Tropical Composite cattle. These differences were larger than those observed for the entire set of 729,068 SNP (P = 1.79 x 10(−5)). A multidimensional scaling analysis using only the 113 SNP in transcribed regions allowed for the separation of the two populations and this separation was comparable to the one obtained with a random set of 113 SNP (Principal Component 1 r(2) > 0.84). To further characterize the differences between the breeds we defined a gene-differentiation metric based on the average genotypic frequencies of SNP connected to each gene and compared both cattle populations. The 10% most differentiated genes were distributed across 10 chromosomes, with significant (P < 0.05) enrichment on BTA 3 and 10. The 10% most conserved genes were located in 12 chromosomes. We conclude that there is variation between cattle populations in genes connected to epigenetic processes, and this variation can be used to differentiate cattle breeds. More research is needed to fully characterize the use of these SNP and its potential as means to further our understanding of biological variation and epigenetic processes.
format Online
Article
Text
id pubmed-4001012
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-40010122014-05-02 Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity Porto-Neto, Laercio R. Fortes, Marina R. S. McWilliam, Sean M. Lehnert, Sigrid A. Reverter, Antonio Front Genet Genetics We evaluated the relevance of the BovineHD Illumina SNP chip with respect to genes involved in epigenetic processes. Genotypes for 729,068 SNP on two tropical cattle breeds of Australia were used: Brahman (n = 2112) and Tropical Composite (n = 2550). We used data mining approaches to compile a list of bovine protein-coding genes involved in epigenetic processes. These genes represent 9 functional categories that contain between one (histone demethylases) and 99 (chromatin remodeling factors) genes. A total of 3091 SNP mapped to positions within 3000 bp of the 193 coding regions of those genes, including 113 SNP in transcribed regions, 2738 in intronic regions and 240 in up- or down-stream regions. For all these SNP categories, we observed differences in the allelic frequencies between Brahman and Tropical Composite cattle. These differences were larger than those observed for the entire set of 729,068 SNP (P = 1.79 x 10(−5)). A multidimensional scaling analysis using only the 113 SNP in transcribed regions allowed for the separation of the two populations and this separation was comparable to the one obtained with a random set of 113 SNP (Principal Component 1 r(2) > 0.84). To further characterize the differences between the breeds we defined a gene-differentiation metric based on the average genotypic frequencies of SNP connected to each gene and compared both cattle populations. The 10% most differentiated genes were distributed across 10 chromosomes, with significant (P < 0.05) enrichment on BTA 3 and 10. The 10% most conserved genes were located in 12 chromosomes. We conclude that there is variation between cattle populations in genes connected to epigenetic processes, and this variation can be used to differentiate cattle breeds. More research is needed to fully characterize the use of these SNP and its potential as means to further our understanding of biological variation and epigenetic processes. Frontiers Media S.A. 2014-04-22 /pmc/articles/PMC4001012/ /pubmed/24795751 http://dx.doi.org/10.3389/fgene.2014.00089 Text en Copyright © 2014 Porto-Neto, Fortes, McWilliam, Lehnert and Reverter. http://creativecommons.org/licenses/by/3.0/ 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) or licensor 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
Porto-Neto, Laercio R.
Fortes, Marina R. S.
McWilliam, Sean M.
Lehnert, Sigrid A.
Reverter, Antonio
Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity
title Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity
title_full Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity
title_fullStr Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity
title_full_unstemmed Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity
title_short Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity
title_sort variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4001012/
https://www.ncbi.nlm.nih.gov/pubmed/24795751
http://dx.doi.org/10.3389/fgene.2014.00089
work_keys_str_mv AT portonetolaercior variationingenesinvolvedinepigeneticprocessesoffersinsightsintotropicallyadaptedcattlediversity
AT fortesmarinars variationingenesinvolvedinepigeneticprocessesoffersinsightsintotropicallyadaptedcattlediversity
AT mcwilliamseanm variationingenesinvolvedinepigeneticprocessesoffersinsightsintotropicallyadaptedcattlediversity
AT lehnertsigrida variationingenesinvolvedinepigeneticprocessesoffersinsightsintotropicallyadaptedcattlediversity
AT reverterantonio variationingenesinvolvedinepigeneticprocessesoffersinsightsintotropicallyadaptedcattlediversity