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PMID: 19828049 Published · epublish English Journal Article Research Support, Non-U.S. Gov't

Epigenetic regulation of the honey bee transcriptome: unravelling the nature of methylated genes.

BMC genomics ·Vol. 10 ·2009-10-14 ·Pages 472

Foret S, Kucharski R, Pittelkow Y, Lockett GA, Maleszka R

Abstract

Epigenetic modification of DNA via methylation is one of the key inventions in eukaryotic evolution. It provides a source for the switching of gene activities, the maintenance of stable phenotypes and the integration of environmental and genomic signals. Although this process is widespread among eukaryotes, both the patterns of methylation and their relevant biological roles not only vary noticeably in different lineages, but often are poorly understood. In addition, the evolutionary origins of DNA methylation in multicellular organisms remain enigmatic. Here we used a new 'epigenetic' model, the social honey bee Apis mellifera, to gain insights into the significance of methylated genes. We combined microarray profiling of several tissues with genome-scale bioinformatics and bisulfite sequencing of selected genes to study the honey bee methylome. We find that around 35% of the annotated honey bee genes are expected to be methylated at the CpG dinucleotides by a highly conserved DNA methylation system. We show that one unifying feature of the methylated genes in this species is their broad pattern of expression and the associated 'housekeeping' roles. In contrast, genes involved in more stringently regulated spatial or temporal functions are predicted to be un-methylated. Our data suggest that honey bees use CpG methylation of intragenic regions as an epigenetic mechanism to control the levels of activity of the genes that are broadly expressed and might be needed for conserved core biological processes in virtually every type of cell. We discuss the implications of our findings for genome-scale regulatory network structures and the evolution of the role(s) of DNA methylation in eukaryotes. Our findings are particularly important in the context of the emerging evidence that environmental factors can influence the epigenetic settings of some genes and lead to serious metabolic and behavioural disorders.

MeSH Terms
Animals Bees/genetics Computational Biology CpG Islands DNA Methylation Epigenesis, Genetic Gene Expression Profiling Gene Expression Regulation Genes, Insect Genome, Insect Oligonucleotide Array Sequence Analysis Sequence Analysis, DNA
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Foret Sylvain
Centre for Bioinformation, Mathematical Sciences Institute, The Australian National University, Canberra ACT 0200, Australia. [email protected]
Kucharski Robert
Pittelkow Yvonne
Lockett Gabrielle A
Maleszka Ryszard
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Article Info
Journal
BMC genomics
Abbr.
BMC Genomics
ISSN
1471-2164
Published
2009-10-14
Epub
2009-00-14
Pages
472
Language
English
Region
England
NLM ID
100965258
PMCID
PMC2768749
Subset
IM
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