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Porto-Neto LR, Fortes MR, McWilliam SM, et al. Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity. Front Genet. 2014;5:89doi: 10.3389/fgene.2014.00089.
Porto-Neto, L. R., Fortes, M. R., McWilliam, S. M., Lehnert, S. A., & Reverter, A. (2014). Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity. Frontiers in genetics, 589. https://doi.org/10.3389/fgene.2014.00089
Porto-Neto, Laercio R, et al. "Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity." Frontiers in genetics vol. 5 (2014): 89. doi: https://doi.org/10.3389/fgene.2014.00089
Porto-Neto LR, Fortes MR, McWilliam SM, Lehnert SA, Reverter A. Variation in genes involved in epigenetic processes offers insights into tropically adapted cattle diversity. Front Genet. 2014 Apr 22;5:89. doi: 10.3389/fgene.2014.00089. eCollection 2014. PMID: 24795751; PMCID: PMC4001012.
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Front Genet. 2014 Apr 22;5:89. doi: 10.3389/fgene.2014.00089. eCollection 2014.

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

Frontiers in genetics

Laercio R Porto-Neto, Marina R S Fortes, Sean M McWilliam, Sigrid A Lehnert, Antonio Reverter

Affiliations

  1. CSIRO Food Futures Flagship and CSIRO Animal, Health and Food Sciences Brisbane, QLD, Australia.
  2. QAAFI, Centre for Animal Science, The University of Queensland Brisbane, QLD, Australia.

PMID: 24795751 PMCID: PMC4001012 DOI: 10.3389/fgene.2014.00089

Abstract

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.

Keywords: bovine species; cattle diversity; epigenetics; high-density genotypes; polymorphisms

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