ArticleBMC genomics2005
GC-compositional strand bias around transcription start sites in plants and fungi.
Article in BMC genomics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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36 citing papers in PubMed, 84 citations in OpenAlex.
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- Compositional properties and codon usage pattern of mitochondrial ATP gene in different classes of Arthropoda.Genetica · 2019Article
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- Incidence of genome structure, DNA asymmetry, and cell physiology on T-DNA integration in chromosomes of the phytopathogenic fungus Leptosphaeria maculans.G3 (Bethesda, Md.) · 2012Article
- Measures of compositional strand bias related to replication machinery and its applications.Current genomics · 2012Article
- DNA replication and strand asymmetry in prokaryotic and mitochondrial genomes.Current genomics · 2012Article
- Replication-Associated Mutational Pressure (RMP) Governs Strand-Biased Compositional Asymmetry (SCA) and Gene Organization in Animal Mitochondrial Genomes.Current genomics · 2012Article
- Distinct contributions of replication and transcription to mutation rate variation of human genomes.Genomics, proteomics & bioinformatics · 2012Article
- Opposite GC skews at the 5' and 3' ends of genes in unicellular fungi.BMC genomics · 2011Article
- PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes.BMC research notes · 2011Article
- DNA free energy-based promoter prediction and comparative analysis of Arabidopsis and rice genomes.Plant physiology · 2011Article
- Article
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3 authors at 3 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundA GC-compositional strand bias or GC-skew (=(C-G)/(C+G)), where C and G denote the numbers of cytosine and guanine residues, was recently reported near the transcription start sites (TSS) of Arabidopsis genes. However, it is unclear whether other eukaryotic species have equally prominent GC-skews, and the biological meaning of this trait remains unknown.
resultsOur study confirmed a significant GC-skew (C > G) in the TSS of Oryza sativa (rice) genes. The full-length cDNAs and genomic sequences from Arabidopsis and rice were compared using statistical analyses. Despite marked differences in the G+C content around the TSS in the two plants, the degrees of bias were almost identical. Although slight GC-skew peaks, including opposite skews (C < G), were detected around the TSS of genes in human and Drosophila, they were qualitatively and quantitatively different from those identified in plants. However, plant-like GC-skew in regions upstream of the translation initiation sites (TIS) in some fungi was identified following analyses of the expressed sequence tags and/or genomic sequences from other species. On the basis of our dataset, we estimated that > 70 and 68% of Arabidopsis and rice genes, respectively, had a strong GC-skew (> 0.33) in a 100-bp window (that is, the number of C residues was more than double the number of G residues in a +/-100-bp window around the TSS). The mean GC-skew value in the TSS of highly-expressed genes in Arabidopsis was significantly greater than that of genes with low expression levels. Many of the GC-skew peaks were preferentially located near the TSS, so we examined the potential value of GC-skew as an index for TSS identification. Our results confirm that the GC-skew can be used to assist the TSS prediction in plant genomes.
conclusionThe GC-skew (C > G) around the TSS is strictly conserved between monocot and eudicot plants (ie. angiosperms in general), and a similar skew has been observed in some fungi. Highly-expressed Arabidopsis genes had overall a more marked GC-skew in the TSS compared to genes with low expression levels. We therefore propose that the GC-skew around the TSS in some plants and fungi is related to transcription. It might be caused by mutations during transcription initiation or the frequent use of transcription factor-biding sites having a strand preference. In addition, GC-skew is a good candidate index for TSS prediction in plant genomes, where there is a lack of correlation among CpG islands and genes.
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