Literature DB >> 17591602

Features and trend of loss of promoter-associated CpG islands in the human and mouse genomes.

Cizhong Jiang1, Leng Han, Bing Su, Wen-Hsiung Li, Zhongming Zhao.   

Abstract

CpG islands (CGIs) are often considered as gene markers, but the number of CGIs varies among mammalian genomes that have similar numbers of genes. In this study, we investigated the distribution of CGIs in the promoter regions of 3,197 human-mouse orthologous gene pairs and found that the mouse genome has notably fewer CGIs in the promoter regions and less pronounced CGI characteristics than does the human genome. We further inferred CGI's ancestral state using the dog genome as a reference and examined the nucleotide substitution pattern and the mutational direction in the conserved regions of human and mouse CGIs. The results reveal many losses of CGIs in both genomes but the loss rate in the mouse lineage is two to four times the rate in the human lineage. We found an intriguing feature of CGI loss, namely that the loss of a CGI usually starts from erosion at the both edges and gradually moves towards the center. We found functional bias in the genes that have lost promoter-associated CGIs in the human or mouse lineage. Finally, our analysis indicates that the association of CGIs with housekeeping genes is not as strong as previously estimated. Our study provides a detailed view of the evolution of promoter-associated CGIs in the human and mouse genomes and our findings are helpful for understanding the evolution of mammalian genomes and the role of CGIs in gene function.

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Year:  2007        PMID: 17591602     DOI: 10.1093/molbev/msm128

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  27 in total

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5.  Identifying genes progressively silenced in preneoplastic and neoplastic liver tissues.

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8.  Contrast features of CpG islands in the promoter and other regions in the dog genome.

Authors:  Leng Han; Zhongming Zhao
Journal:  Genomics       Date:  2009-05-03       Impact factor: 5.736

9.  CpG islands or CpG clusters: how to identify functional GC-rich regions in a genome?

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Journal:  BMC Bioinformatics       Date:  2009-02-20       Impact factor: 3.169

10.  High DNA melting temperature predicts transcription start site location in human and mouse.

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Journal:  Nucleic Acids Res       Date:  2009-12       Impact factor: 16.971

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