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Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes
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-repres...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3643570/ https://www.ncbi.nlm.nih.gov/pubmed/23519616 http://dx.doi.org/10.1093/nar/gkt144 |
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author | Chae, Heejoon Park, Jinwoo Lee, Seong-Whan Nephew, Kenneth P. Kim, Sun |
author_facet | Chae, Heejoon Park, Jinwoo Lee, Seong-Whan Nephew, Kenneth P. Kim, Sun |
author_sort | Chae, Heejoon |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3643570 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-36435702013-05-03 Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes Chae, Heejoon Park, Jinwoo Lee, Seong-Whan Nephew, Kenneth P. Kim, Sun Nucleic Acids Res Gene Regulation, Chromatin and Epigenetics 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. Oxford University Press 2013-05 2013-03-20 /pmc/articles/PMC3643570/ /pubmed/23519616 http://dx.doi.org/10.1093/nar/gkt144 Text en © The Author(s) 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ 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. |
spellingShingle | Gene Regulation, Chromatin and Epigenetics Chae, Heejoon Park, Jinwoo Lee, Seong-Whan Nephew, Kenneth P. Kim, Sun Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes |
title | Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes |
title_full | Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes |
title_fullStr | Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes |
title_full_unstemmed | Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes |
title_short | Comparative analysis using K-mer and K-flank patterns provides evidence for CpG island sequence evolution in mammalian genomes |
title_sort | comparative analysis using k-mer and k-flank patterns provides evidence for cpg island sequence evolution in mammalian genomes |
topic | Gene Regulation, Chromatin and Epigenetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3643570/ https://www.ncbi.nlm.nih.gov/pubmed/23519616 http://dx.doi.org/10.1093/nar/gkt144 |
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