Unveiling DNA structural features of promoters associated with various types of TSSs in prokaryotic transcriptomes and their role in gene expression. (31st October 2016)

• Record Type: Journal Article
• Authors: Kumar, Aditya; Bansal, Manju
• Is Part Of: DNA research. Volume 24:Number 1(2017:Feb.)
• Page Start: 25
• Page End: 35
• Publication Date: 2016-10-31
• Subjects: promoter prediction -- DNA structural properties -- transcriptome -- gene expression; Genes -- Periodicals; Genomes -- Periodicals; Genes -- Research -- Periodicals; Genomics -- Periodicals; DNA -- Research -- Periodicals; 572.86072
• DOI: 10.1093/dnares/dsw045
• Languages: English
• ISSNs: 1340-2838

Abstract

Abstract: Next-generation sequencing studies have revealed that a variety of transcripts are present in the prokaryotic transcriptome and a significant fraction of them are functional, being involved in various regulatory activities apart from coding for proteins. Identification of promoters associated with different transcripts is necessary for characterization of the transcriptome. Promoter regions have been shown to have unique structural features as compared with their flanking region, in organisms covering all domains of life. Here we report an in silico analysis of DNA sequence dependent structural properties like stability, bendability and curvature in the promoter region of six different prokaryotic transcriptomes. Using these structural features, we predicted promoters associated with different categories of transcripts (mRNA, internal, antisense and non-coding), which constitute the transcriptome. Promoter annotation using structural features is fairly accurate and reliable with about 50% of the primary promoters being characterized by all three structural properties while at least one property identifies 95%. We also studied the relative differences of these structural features in terms of gene expression and found that the features, viz. lower stability, lesser bendability and higher curvature are more prominent in the promoter regions which are associated with high gene expression as compared with low expression genes. Hence, promoters, which are associated with higher gene expression, get annotated well using DNA structural features as compared with those, which are linked to lower gene expression.