Abstract

BackgroundAlthough prokaryotic gene transcription has been studied over decades, many aspects of the process remain poorly understood. Particularly, recent studies have revealed that transcriptomes in many prokaryotes are far more complex than previously thought. Genes in an operon are often alternatively and dynamically transcribed under different conditions, and a large portion of genes and intergenic regions have antisense RNA (asRNA) and non-coding RNA (ncRNA) transcripts, respectively. Ironically, similar studies have not been conducted in the model bacterium E coli K12, thus it is unknown whether or not the bacterium possesses similar complex transcriptomes. Furthermore, although RNA-seq becomes the major method for analyzing the complexity of prokaryotic transcriptome, it is still a challenging task to accurately assemble full length transcripts using short RNA-seq reads.ResultsTo fill these gaps, we have profiled the transcriptomes of E. coli K12 under different culture conditions and growth phases using a highly specific directional RNA-seq technique that can capture various types of transcripts in the bacterial cells, combined with a highly accurate and robust algorithm and tool TruHMM (http://bioinfolab.uncc.edu/TruHmm_package/) for assembling full length transcripts. We found that 46.9 ~ 63.4% of expressed operons were utilized in their putative alternative forms, 72.23 ~ 89.54% genes had putative asRNA transcripts and 51.37 ~ 72.74% intergenic regions had putative ncRNA transcripts under different culture conditions and growth phases.ConclusionsAs has been demonstrated in many other prokaryotes, E. coli K12 also has a highly complex and dynamic transcriptomes under different culture conditions and growth phases. Such complex and dynamic transcriptomes might play important roles in the physiology of the bacterium. TruHMM is a highly accurate and robust algorithm for assembling full-length transcripts in prokaryotes using directional RNA-seq short reads.

Highlights

  • Prokaryotic gene transcription has been studied over decades, many aspects of the process remain poorly understood

  • Based on the transcripts assembled in TruHMM, we found that 46.9 ~ 63.4% of expressed operons were utilized in their putative alternative forms, 72.23 ~ 89.54% open reading frames had putative antisense RNA (asRNA) transcriptions and 51.37 ~ 72.74% intergenic regions had putative Non-coding RNA (ncRNA) transcriptions under different culture conditions and growth phases

  • All these results indicate that our sequence reads are highly strand-specific and of high quality, which is consistent with an earlier result using a similar library construction protocol [61]

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Summary

Introduction

Prokaryotic gene transcription has been studied over decades, many aspects of the process remain poorly understood. Genes in an operon are often alternatively and dynamically transcribed under different conditions, and a large portion of genes and intergenic regions have antisense RNA (asRNA) and non-coding RNA (ncRNA) transcripts, respectively. In addition to protein- and RNAcoding genes, some parts of a non-coding sequence and the opposite strand of a coding sequence can be transcribed under certain conditions, generating non-coding RNAs (ncRNAs) [1,2] and anti-sense RNAs (asRNAs). Even for the most well-studied model bacteria E. coli K12 and B. subtilis, only 3,409 [5] and 736 [6] operons have been determined in their genomes using these methods, respectively, after decades of research while not each of their genes has been assigned to an operon. A great progress has been made in computational prediction of operons [7,8,9,10,11,12,13,14] and small RNA genes [15,16,17,18], the accuracy of these predictors is still low [13,19], and they can only predict the static longest possible operons without considering possible alternative operons [7,8,9,10,11,12,13,14]

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