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      Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes

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          Abstract

          CpG islands are GC-rich regions often located in the 5′ end of genes and normally protected from cytosine methylation in mammals. The important role of CpG islands in gene transcription strongly suggests evolutionary conservation in the mammalian genome. However, as CpG dinucleotides are over-represented in CpG islands, comparative CpG island analysis using conventional sequence analysis techniques remains a major challenge in the epigenetics field. In this study, we conducted a comparative analysis of all CpG island sequences in 10 mammalian genomes. As sequence similarity methods and character composition techniques such as information theory are particularly difficult to conduct, we used exact patterns in CpG island sequences and single character discrepancies to identify differences in CpG island sequences. First, by calculating genome distance based on rank correlation tests, we show that k-mer and k-flank patterns around CpG sites can be used to correctly reconstruct the phylogeny of 10 mammalian genomes. Further, we used various machine learning algorithms to demonstrate that CpG islands sequences can be characterized using k-mers. In addition, by testing a human model on the nine different mammalian genomes, we provide the first evidence that k-mer signatures are consistent with evolutionary history.

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          Most cited references21

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          CpG islands in vertebrate genomes.

          Although vertebrate DNA is generally depleted in the dinucleotide CpG, it has recently been shown that some vertebrate genes contain CpG islands, regions of DNA with a high G+C content and a high frequency of CpG dinucleotides relative to the bulk genome. In this study, a large number of sequences of vertebrate genes were screened for the presence of CpG islands. Each CpG island was then analysed in terms of length, nucleotide composition, frequency of CpG dinucleotides, and location relative to the transcription unit of the associated gene. CpG islands were associated with the 5' ends of all housekeeping genes and many tissue-specific genes, and with the 3' ends of some tissue-specific genes. A few genes contained both 5' and 3' CpG islands, separated by several thousand base-pairs of CpG-depleted DNA. The 5' CpG islands extended through 5'-flanking DNA, exons and introns, whereas most of the 3' CpG islands appeared to be associated with exons. CpG islands were generally found in the same position relative to the transcription unit of equivalent genes in different species, with some notable exceptions. The locations of G/C boxes, composed of the sequence GGGCGG or its reverse complement CCGCCC, were investigated relative to the location of CpG islands. G/C boxes were found to be rare in CpG-depleted DNA and plentiful in CpG islands, where they occurred in 3' CpG islands, as well as in 5' CpG islands associated with tissue-specific and housekeeping genes. G/C boxes were located both upstream and downstream from the transcription start site of genes with 5' CpG islands. Thus, G/C boxes appeared to be a feature of CpG islands in general, rather than a feature of the promoter region of housekeeping genes. Two theories for the maintenance of a high frequency of CpG dinucleotides in CpG islands were tested: that CpG islands in methylated genomes are maintained, despite a tendency for 5mCpG to mutate by deamination to TpG+CpA, by the structural stability of a high G+C content alone, and that CpG islands associated with exons result from some selective importance of the arginine codon CGX. Neither of these theories could account for the distribution of CpG dinucleotides in the sequences analysed. Possible functions of CpG islands in transcriptional and post-transcriptional regulation of gene expression were discussed, and were related to theories for the maintenance of CpG islands as "methylation-free zones" in germline DNA.
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            Comprehensive analysis of CpG islands in human chromosomes 21 and 22.

            CpG islands are useful markers for genes in organisms containing 5-methylcytosine in their genomes. In addition, CpG islands located in the promoter regions of genes can play important roles in gene silencing during processes such as X-chromosome inactivation, imprinting, and silencing of intragenomic parasites. The generally accepted definition of what constitutes a CpG island was proposed in 1987 by Gardiner-Garden and Frommer [Gardiner-Garden, M. & Frommer, M. (1987) J. Mol. Biol. 196, 261-282] as being a 200-bp stretch of DNA with a C+G content of 50% and an observed CpG/expected CpG in excess of 0.6. Any definition of a CpG island is somewhat arbitrary, and this one, which was derived before the sequencing of mammalian genomes, will include many sequences that are not necessarily associated with controlling regions of genes but rather are associated with intragenomic parasites. We have therefore used the complete genomic sequences of human chromosomes 21 and 22 to examine the properties of CpG islands in different sequence classes by using a search algorithm that we have developed. Regions of DNA of greater than 500 bp with a G+C equal to or greater than 55% and observed CpG/expected CpG of 0.65 were more likely to be associated with the 5' regions of genes and this definition excluded most Alu-repetitive elements. We also used genome sequences to show strong CpG suppression in the human genome and slight suppression in Drosophila melanogaster and Saccharomyces cerevisiae. This finding is compatible with the recent detection of 5-methylcytosine in Drosophila, and might suggest that S. cerevisiae has, or once had, CpG methylation.
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              Analysing and interpreting DNA methylation data.

              DNA methylation is an epigenetic mark that has suspected regulatory roles in a broad range of biological processes and diseases. The technology is now available for studying DNA methylation genome-wide, at a high resolution and in a large number of samples. This Review discusses relevant concepts, computational methods and software tools for analysing and interpreting DNA methylation data. It focuses not only on the bioinformatic challenges of large epigenome-mapping projects and epigenome-wide association studies but also highlights software tools that make genome-wide DNA methylation mapping more accessible for laboratories with limited bioinformatics experience.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                May 2013
                20 March 2013
                20 March 2013
                : 41
                : 9
                : 4783-4791
                Affiliations
                1Department of Computer Science, School of Informatics and Computing, Indiana University, Bloomington, IN, USA, 2Department of Computer Science and Engineering, Bioinformatics Institute, Seoul National University, Seoul, Korea, 3Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea, 4Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea and 5Medical Sciences Program, Indiana University School of Medicine, Indiana University, Bloomington, IN, USA
                Author notes
                *To whom correspondence should be addressed. Tel: +82 2 880 7280; Fax: +82 2 886 7589; Email: sunkim.bioinfo@ 123456snu.ac.kr
                Article
                gkt144
                10.1093/nar/gkt144
                3643570
                23519616
                c88677aa-1029-405e-ba5b-37114d527343
                © The Author(s) 2013. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 October 2012
                : 24 January 2013
                : 13 February 2013
                Page count
                Pages: 9
                Categories
                Gene Regulation, Chromatin and Epigenetics

                Genetics
                Genetics

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