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Journal of applied genetics2015; 57(3); 383-388; doi: 10.1007/s13353-015-0323-4

Age-related methylation profiles of equine blood leukocytes in the RNASEL locus.

Abstract: Methylation profiles across three CpG islands of the RNASEL gene were determined in blood leukocyte samples of Anglo-Arabian and Hucul horses. Bisulfite sequencing revealed hypomethylated state of the RNASEL promoter coinciding with methylated CpG island placed inside the gene. Several CpG sites were identified for which the methylation state was influenced by DNA polymorphism. Two of them showed monoallelic methylation. One of the CpG sites revealed functional polymorphism. A number of partially methylated CpG sites have been observed in the promoter area of RNASEL, which were used for the comparison of breed- and age-related effects. Clone bisulfite sequencing of blood leukocyte samples collected at different ages from particular individuals of AA and HC breeds and, also, BSPCR sequencing of 50 samples of juvenile and old AA and HC horses revealed increased methylation in particular CpG sites during aging. The age-related heterogeneity of white blood cells was hypothesized as being one of the potential causes of observed variability of methylation profiles in the RNASEL promoter.
Publication Date: 2015-11-09 PubMed ID: 26553552PubMed Central: PMC4963465DOI: 10.1007/s13353-015-0323-4Google Scholar: Lookup
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  • Journal Article

Summary

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This research article discusses the age-related changes in the methylation profiles of the RNASEL gene in Anglo-Arabian and Hucul horses as detected from their blood leukocytes. The study found some CpG sites had methylation states affected by DNA polymorphisms, with increased methylation at specific CpG sites identified with aging.

Understanding Methylation and the RNASEL Gene

  • The study focuses on the RNASEL gene, which codes for a protein that has significant roles in apoptosis (programmed cell death) and may function in the destruction of viral RNA.
  • Methylation is a biological process where a methyl group is added to a molecule or substance. In this case, it refers to the addition of a methyl group to the DNA molecule at specific points called CpG sites.
  • CpG sites are areas in the DNA sequence where a cytosine nucleotide is followed by a guanine nucleotide. These sites are particularly significant in gene regulation.

Study Procedure and Significant Findings

  • The investigation employed bisulfite sequencing, an advanced method used for analyzing DNA methylation. This technique converted unmethylated cytosine residues to uracil, allowing researchers to differentiate between DNA sections that were originally methylated versus those that were not.
  • The researchers found that the RNASEL promoter was hypomethylated or had fewer methyl groups, whereas a CpG island within the gene itself was methylated.
  • Some CpG sites displayed significant DNA polymorphism effects on their methylation states, with two of these sites showing monoallelic methylation, i.e., methylation on one of two alleles.
  • One CpG site exhibited functional polymorphism, which means the gene variant had an impact on the organism’s phenotype, potentially influencing the horse’s health or physical traits.
  • The team also discovered several partially methylated CpG sites within the RNASEL promoter, which they used to elucidate breed- and age-related effects.

Relevance to Aging and Breed-Specific Traits

  • By analyzing blood leukocyte samples from horses of different ages, the researchers found an increase in methylation at certain CpG sites related to age.
  • This could potentially reflect the various biological changes that come with aging, including changes in the immune system function represented by the white blood cell variability.
  • Furthermore, identifying breed-related differences in methylation patterns may contribute to a more comprehensive understanding of genetic and phenotypic diversity among horse breeds.

Conclusions and Future Directions

  • The researchers hypothesize age-related heterogeneity of white blood cells could be a cause of the observed variability in methylation profiles in the RNASEL promoter.
  • If confirmed by future research, this may provide valuable insights into age-related changes in gene expression and the role of methylation in regulating these processes. And, it could contribute to the knowledge of horse genetics and how methylation changes might affect horse health as they age.

Cite This Article

APA
Ząbek T, Semik E, Szmatoła T, Oklejewicz B, Fornal A, Bugno-Poniewierska M. (2015). Age-related methylation profiles of equine blood leukocytes in the RNASEL locus. J Appl Genet, 57(3), 383-388. https://doi.org/10.1007/s13353-015-0323-4

Publication

ISSN: 2190-3883
NlmUniqueID: 9514582
Country: England
Language: English
Volume: 57
Issue: 3
Pages: 383-388

Researcher Affiliations

Ząbek, T
  • National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Poland. tomasz.zabek@izoo.krakow.pl.
Semik, E
  • National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Poland.
Szmatoła, T
  • National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Poland.
Oklejewicz, B
  • Centre of Applied Biotechnology and Basic Sciences, University of Rzeszow, Sokołowska 26, 36-100, Kolbuszowa, Poland.
Fornal, A
  • National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Poland.
Bugno-Poniewierska, M
  • National Research Institute of Animal Production, Krakowska 1, 32-083, Balice, Poland.

MeSH Terms

  • Aging
  • Animals
  • Breeding
  • CpG Islands
  • DNA Methylation
  • Endoribonucleases / genetics
  • Epigenesis, Genetic
  • Female
  • Horses / genetics
  • Leukocytes / metabolism
  • Male
  • Polymorphism, Genetic
  • Promoter Regions, Genetic
  • Sequence Analysis, DNA

References

This article includes 19 references
  1. Andersen JB, Li XL, Judge CS, Zhou A, Jha BK, Shelby S, Zhou L, Silverman RH, Hassel BA. Role of 2-5A-dependent RNase-L in senescence and longevity.. Oncogene 2007;26(21):3081–3088.
    doi: 10.1038/sj.onc.1210111pubmed: 17130839google scholar: lookup
  2. Bell JT, Tsai PC, Yang TP, Pidsley R, Nisbet J, Glass D, Mangino M, Zhai G, Zhang F, Valdes A, Shin SY, Dempster EL, Murray RM, Grundberg E, Hedman AK, Nica A, Small KS, MuTHER Consortium, Dermitzakis ET, McCarthy MI, Mill J, Spector TD, Deloukas P. Epigenome-wide scans identify differentially methylated regions for age and age-related phenotypes in a healthy ageing population.. PLoS Genet 2012;8.
  3. Cartharius K, Frech K, Grote K, Klocke B, Haltmeier M, Klingenhoff A, Frisch M, Bayerlein M, Werner T. MatInspector and beyond: promoter analysis based on transcription factor binding sites.. Bioinformatics 2005;21:2933–2942.
    doi: 10.1093/bioinformatics/bti473pubmed: 15860560google scholar: lookup
  4. Day K, Waite LL, Thalacker-Mercer A, West A, Bamman MM, Brooks JD, Myers RM, Absher D. Differential DNA methylation with age displays both common and dynamic features across human tissues that are influenced by CpG landscape.. Genome Biol 2013;14(9):R102.
    doi: 10.1186/gb-2013-14-9-r102pmc: PMC4053985pubmed: 24034465google scholar: lookup
  5. González-Recio O. Epigenetics: a new challenge in the post-genomic era of livestock.. Front Genet 2011;2:106.
    pmc: PMC3270332pubmed: 22303400
  6. Hannum G, Guinney J, Zhao L, Zhang L, Hughes G, Sadda S, Klotzle B, Bibikova M, Fan JB, Gao Y, Deconde R, Chen M, Rajapakse I, Friend S, Ideker T, Zhang K. Genome-wide methylation profiles reveal quantitative views of human aging rates.. Mol Cell 2013;49:359–367.
  7. Hellman A, Chess A. Extensive sequence-influenced DNA methylation polymorphism in the human genome.. Epigenetics Chromatin 2010;3:11.
    doi: 10.1186/1756-8935-3-11pmc: PMC2893533pubmed: 20497546google scholar: lookup
  8. Hoelzer K, Shackelton LA, Parrish CR. Presence and role of cytosine methylation in DNA viruses of animals.. Nucleic Acids Res 2008;36:2825–2837.
    doi: 10.1093/nar/gkn121pmc: PMC2396429pubmed: 18367473google scholar: lookup
  9. Jaffe AE, Irizarry RA. Accounting for cellular heterogeneity is critical in epigenome-wide association studies.. Genome Biol 2014;15(2):R31.
    doi: 10.1186/gb-2014-15-2-r31pmc: PMC4053810pubmed: 24495553google scholar: lookup
  10. Johansson Å, Enroth S, Gyllensten U. Continuous aging of the human DNA methylome throughout the human lifespan.. PLoS One 2013;8.
  11. Larsen F, Gundersen G, Lopez R, Prydz H. CpG islands as gene markers in the human genome.. Genomics 1992;13:1095–1107.
    doi: 10.1016/0888-7543(92)90024-Mpubmed: 1505946google scholar: lookup
  12. Leakey TI, Zielinski J, Siegfried RN, Siegel ER, Fan CY, Cooney CA. A simple algorithm for quantifying DNA methylation levels on multiple independent CpG sites in bisulfite genomic sequencing electropherograms.. Nucleic Acids Res 2008;36.
    doi: 10.1093/nar/gkn210pmc: PMC2441810pubmed: 18480118google scholar: lookup
  13. Marchal C, Miotto B. Emerging concept in DNA methylation: role of transcription factors in shaping DNA methylation patterns.. J Cell Physiol 2015;230(4):743–751.
    doi: 10.1002/jcp.24836pubmed: 25283539google scholar: lookup
  14. Pfeifer K, Ushijima H, Lorenz B, Müller WE, Schröder HC. Evidence for age-dependent impairment of antiviral 2′,5′-oligoadenylate synthetase/ribonuclease L-system in tissues of rat.. Mech Ageing Dev 1993;67:101–114.
    doi: 10.1016/0047-6374(93)90115-8pubmed: 8469023google scholar: lookup
  15. Quintero-Ronderos P, Montoya-Ortiz G. Epigenetics and autoimmune diseases.. Autoimmune Dis 2012;2012.
    pmc: PMC3318200pubmed: 22536485
  16. Rohde C, Zhang Y, Reinhardt R, Jeltsch A. BISMA—fast and accurate bisulfite sequencing data analysis of individual clones from unique and repetitive sequences.. BMC Bioinformatics 2010;11:230.
    doi: 10.1186/1471-2105-11-230pmc: PMC2877691pubmed: 20459626google scholar: lookup
  17. Shoemaker R, Deng J, Wang W, Zhang K. Allele-specific methylation is prevalent and is contributed by CpG-SNPs in the human genome.. Genome Res 2010;20:883–889.
    doi: 10.1101/gr.104695.109pmc: PMC2892089pubmed: 20418490google scholar: lookup
  18. Squire J, Zhou A, Hassel BA, Nie H, Silverman RH. Localization of the interferon-induced, 2-5A-dependent RNase gene (RNS4) to human chromosome 1q25.. Genomics 1994;19:174–175.
    doi: 10.1006/geno.1994.1033pubmed: 7514564google scholar: lookup
  19. Talens RP, Boomsma DI, Tobi EW, Kremer D, Jukema JW, Willemsen G, Putter H, Slagboom PE, Heijmans BT. Variation, patterns, and temporal stability of DNA methylation: considerations for epigenetic epidemiology.. FASEB J 2010;24:3135–3144.
    doi: 10.1096/fj.09-150490pubmed: 20385621google scholar: lookup