Czech J. Anim. Sci., 2016, 61(11):487-495 | DOI: 10.17221/78/2015-CJAS

Genome-wide analysis of CpG islands in some livestock genomes and their relationship with genomic featuresOriginal Paper

A. Barazandeh1,2, M.R. Mohammadabadi1, M. Ghaderi-Zefrehei3, H. Nezamabadi-pour4
1 Department of Animal Science, Shahid Bahonar University of Kerman, Kerman, Iran
2 Department of Animal Science, University of Jiroft, Jiroft, Iran
3 Department of Animal Science, University of Yasouj, Yasouj, Iran
4 Department of Electrical Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

CpG islands (CGIs) are an important group of CpG dinucleotides in the guanine- and cytosine-rich regions as they harbour functionally relevant epigenetic loci for whole genome studies. As a matter of fact, since there has not been a formal comparative analysis of CGIs in domestic even-toed ungulate genomes, this study was performed to serve this comparison. The Hidden Markov Model was used to detect CGIs in the genomes. The results indicated that the CGIs number and CGI densities had scant variations across genomes. The goat genome had the highest number of CGIs (99 070), whereas the alpaca genome had the highest CGI density (43.39 CGIs/Mb). Significant positive correlations were observed among CGI densities with chromosome pair number, observed CpG/expected CpG, recombination rate, and gene density. When the size of chromosomes increased, the CGI densities decreased and a trend of higher CGI densities in the telomeric regions was observed. Only 10.96% of CGIs were methylated underscoring this postulation that the majority of CGIs remains to be unmethylated. The highest amount of the methylated CGIs was observed in the introns, intergenic, and coding (CDS) regions and the lowest amount of the methylated CGIs was observed in the promoter regions, implying that the DNA methylation of CGIs may control gene expression at the genome level. Detected differences between even-toed ungulate and other vertebrate genomes showed that CGI densities varied greatly among the genomes. These findings would contribute to better understanding the even-toed ungulate (epi) genomes, the role of CGIs in epigenomic functions and molecular evolution.

Keywords: even-toed ungulate; (epi) genomic; Hidden Markov Model; DNA methylation

Published: November 30, 2016  Show citation

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Barazandeh A, Mohammadabadi MR, Ghaderi-Zefrehei M, Nezamabadi-pour H. Genome-wide analysis of CpG islands in some livestock genomes and their relationship with genomic features. Czech J. Anim. Sci. 2016;61(11):487-495. doi: 10.17221/78/2015-CJAS.
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References

  1. Archibald A.L., Cockett N.E., Dalrymple B.P., Faraut T., Kijas J.W., Maddox J.F., McEwan J.C., Hutton Oddy V., Raadsma H.W., Wade C., Wang J., Wang W., Xun X. (2010): The sheep genome reference sequence: a work in progress. Animal Genetics, 41, 449-453. Go to original source... Go to PubMed...
  2. Dong Y., Xie M., Jiang Y., Xiao N., Du X., Zhang W., TosserKlopp G., Wang J., Yang S., Liang J., et al. (2013): Sequencing and automated whole-genome optical mapping of the genome of a domestic goat (Capra hircus). Nature Biotechnology, 31, 135-141. Go to original source... Go to PubMed...
  3. Du X., Han L., Guo A.Y., Zhao Z. (2012): Features of methylation and gene expression in the promoter-associated CpG islands using human methylome data. Comparative and Functional Genomics, 2012, ID 598987. Go to original source...
  4. Elsik C.G., Tellam R.L., Worley K.C., Gibbs R.A., Muzny D.M., Weinstock G.M., Adelson D.L., Eichler E.E., Elnitski L., Guigo R., et al. (2009): The genome sequence of taurine cattle: a window to ruminant biology and evolution. Science, 324, 522-528. Go to original source... Go to PubMed...
  5. Gardiner-Garden M., Frommer M. (1987): CpG islands in vertebrate genomes. Journal of Molecular Biology, 196, 261-282. Go to original source... Go to PubMed...
  6. Hackenberg M., Barturen G., Carpena P., Luque-Escamilla P.L., Previti C., Oliver J.L. (2010): Prediction of CpGisland function: CpG clustering vs. sliding-window methods. BMC Genomics, 11: 327. Go to original source... Go to PubMed...
  7. Han L., Zhao Z. (2008): Comparative analysis of CpG islands in four fish genomes. Comparative and Functional Genomics, 2008, ID 565631. Go to original source...
  8. Han L., Zhao Z. (2009): Contrast features of CpG islands in the promoter and other regions in the dog genome. Genomics, 94, 117-124. Go to original source... Go to PubMed...
  9. Han L., Su B., Li W.H., Zhao Z. (2008): CpG island density and its correlations with genomic features in mammalian genomes. Genome Biology, 9, R79. Go to original source... Go to PubMed...
  10. Hillier L.W., Miller W., Birney E., Warren W., Hardison R.C., Ponting C.P., Bork P., Burt D.W., Groenen M.A.M., Delany M.E. (2004): Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution. Nature, 432, 695-716. Go to original source... Go to PubMed...
  11. Hu Y., Xu H., Li Z., Zheng X., Jia X., Nie Q., Zhang X. (2013): Comparison of the genome-wide DNA methylation profiles between fast-growing and slow-growing broilers. PLoS ONE, 8, e56411. Go to original source... Go to PubMed...
  12. Irizarry R.A., Wu H., Feinberg A.P. (2009): A species-generalized probabilistic model-based definition of CpG islands. Mammalian Genome, 20, 674-680. Go to original source... Go to PubMed...
  13. Jia M., Gao X., Zhang Y., Hoffmeister M., Brenner H. (2016): Different definitions of CpG island methylator phenotype and outcomes of colorectal cancer: a systematic review. Clinical Epigenetics, 8: 25. Go to original source... Go to PubMed...
  14. Jirimutu, Wang Z., Ding G., Chen G., Sun Y., Sun Z., Zhang H., Wang L., Hasi S., Zhang Y., et al. (2012): Genome sequences of wild and domestic bactrian camels. Nature Communications, 3, Article No. 1202. Go to original source...
  15. Jung M., Pfeifer G.P. (2015): Aging and DNA methylation. BMC Biology, 13: 7. Go to original source... Go to PubMed...
  16. Kastelic D., Frkovic-Grazio S., Baty D., Truan G., Komel R., Pompon D. (2009): A single-step procedure of recombinant library construction for the selection of efficiently produced llama VH binders directed against cancer markers. Journal of Immunological Methods, 350, 54-62. Go to original source... Go to PubMed...
  17. Koh Y.W., Chun S.-M., Park Y.-S., Song J.S., Lee G.K., Khang S.K., Jang S.J. (2016): Association between the CpG island methylator phenotype and its prognostic significance in primary pulmonary adenocarcinoma. Tumor Biology, 37, 1-10. Go to original source... Go to PubMed...
  18. Kwak W., Kim J., Kim D., Hong J.S., Jeong J.H. (2014): Genome-wide DNA methylation profiles of small intestine and liver in fast-growing and slow-growing weaning piglets. Asian-Australasian Journal of Animal Sciences, 27, 1532-1539. Go to original source... Go to PubMed...
  19. Medvedeva Y.A., Fridman M.V., Oparina N.J., Malko D.B., Ermakova E.O., Kulakovskiy I.V., Heinzel A., Makeev V.J. (2010): Intergenic, gene terminal, and intragenic CpG islands in the human genome. BMC Genomics, 11: 48. Go to original source... Go to PubMed...
  20. Paape T., Zhou P., Branca A., Briskine R., Young N., Tiffin P. (2012): Fine-scale population recombination rates, hotspots, and correlates of recombination in the medicago truncatula genome. Genome Biology and Evolution, 4, 726-737. Go to original source... Go to PubMed...
  21. Poissant J., Hogg J.T., Davis C.S., Miller J.M., Maddox J.F., Coltman D.W. (2010): Genetic linkage map of a wild genome: genomic structure, recombination and sexual dimorphism in bighorn sheep. BMC Genomics, 11: 524. Go to original source... Go to PubMed...
  22. Quinlan A.R., Hall I.M. (2010): BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics, 26, 841-842. Go to original source... Go to PubMed...
  23. Rao Y.S., Chai X.W., Wang Z.F., Nie Q.H., Zhang X.Q. (2013): Impact of GC content on gene expression pattern in chicken. Genetics Selection Evolution, 45: 9. Go to original source... Go to PubMed...
  24. Romiguier J., Ranwez V., Douzery E.J.P., Galtier N. (2010): Contrasting GC-content dynamics across 33 mammalian genomes: relationship with life-history traits and chromosome sizes. Genome Research, 20, 1001-1009. Go to original source... Go to PubMed...
  25. Su J., Zhang Y., Lv J., Liu H., Tang X., Wang F., Qi Y., Feng Y., Li X. (2010): CpG_MI: a novel approach for identifying functional CpG islands in mammalian genomes. Nucleic Acids Research, 38, e6. Go to original source... Go to PubMed...
  26. Su J., Wang Y., Xing X., Liu J., Zhang Y. (2014): Genomewide analysis of DNA methylation in bovine placentas. BMC Genomics, 15: 12. Go to original source... Go to PubMed...
  27. Tortereau F., Servin B., Frantz L., Megens H.-J., Milan D., Rohrer G., Wiedmann R., Beever J., Archibald A.L., Schook L.B., Groenen M.A.M. (2012): A high density recombination map of the pig reveals a correlation between sex-specific recombination and GC content. BMC Genomics, 13: 586. Go to original source... Go to PubMed...
  28. Wang Y., Leung F.C.C. (2004): An evaluation of new criteria for CpG islands in the human genome as gene markers. Bioinformatics, 20, 1170-1177. Go to original source... Go to PubMed...
  29. Weidner C.I., Lin Q., Koch C.M., Eisele L., Beier F., Ziegler P., Bauerschlag D.O., Jockel K.-H., Erbel R., Muhleisen T.W., Zenke M., Brummendorf T.H., Wagner W. (2014): Aging of blood can be tracked by DNA methylation changes at just three CpG sites. Genome Biology, 15, R24. Go to original source... Go to PubMed...
  30. Weng Z.-Q., Saatchi M., Schnabel R.D., Taylor J.F., Garrick D.J. (2014): Recombination locations and rates in beef cattle assessed from parent-offspring pairs. Genetics Selection Evolution, 46: 34. Go to original source... Go to PubMed...
  31. Wu H., Caffo B., Jaffee H.A., Irizarry R.A., Feinberg A.P. (2010): Redefining CpG islands using hidden Markov models. Biostatistics, 11, 499-514. Go to original source... Go to PubMed...
  32. Wu H., Guang X., Al-Fageeh M.B., Cao J., Pan S., Zhou H., Zhang L., Abutarboush M.H., Xing Y., Xie Z., et al. (2014): Camelid genomes reveal evolution and adaptation to desert environments. Nature Communications, 5, Article No. 5188. Go to original source...

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