Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1252877 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33221641_1.fastq.gz | Fastqsanger.gz | |||
| SRR33221641_2.fastq.gz | Fastqsanger.gz | |||
| SRR33221642_1.fastq.gz | Fastqsanger.gz | |||
| SRR33221642_2.fastq.gz | Fastqsanger.gz | |||
| SRR33221643_1.fastq.gz | Fastqsanger.gz |
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Project description:Previous molecular and mechanistic studies have identified several principles of prokaryotic transcription, but less is known about the global transcriptional architecture of bacterial genomes. Here we perform a comprehensive study of a cyanobacterial transcriptome, that of Synechococcus elongatus PCC 7942, generated by combining three high-resolution data sets: RNA sequencing, tiling expression microarrays, and RNA polymerase chromatin immunoprecipitation (ChIP) sequencing. We report absolute transcript levels, operon identification, and high-resolution mapping of 5' and 3' ends of transcripts. We identify several interesting features at promoters, within transcripts and in terminators relating to transcription initiation, elongation, and termination. Furthermore, we identify many putative non-coding transcripts. We provide a global analysis of a cyanobacterial transcriptome. Our results uncover insights that reinforce and extend the current views of bacterial transcription. RNA Sequencing of the cyanobacterium Synechococcus elongatus PCC 7942 RNA polymerase ChIP Sequencing of the cyanobacterium Synechococcus elongatus PCC 7942 Tiling Microarray of the cyanobacterium Synechococcus elongatus PCC 7942
2011-05-16 | E-GEOD-29264 | biostudies-arrayexpress
Project description:Previous molecular and mechanistic studies have identified several principles of prokaryotic transcription, but less is known about the global transcriptional architecture of bacterial genomes. Here we perform a comprehensive study of a cyanobacterial transcriptome, that of Synechococcus elongatus PCC 7942, generated by combining three high-resolution data sets: RNA sequencing, tiling expression microarrays, and RNA polymerase chromatin immunoprecipitation (ChIP) sequencing. We report absolute transcript levels, operon identification, and high-resolution mapping of 5' and 3' ends of transcripts. We identify several interesting features at promoters, within transcripts and in terminators relating to transcription initiation, elongation, and termination. Furthermore, we identify many putative non-coding transcripts. We provide a global analysis of a cyanobacterial transcriptome. Our results uncover insights that reinforce and extend the current views of bacterial transcription.
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Project description:We present Prokaryotic Expression-profiling by Tagging RNA In Situ and sequencing (PETRI-seq), a high-throughput prokaryotic scRNA-seq pipeline. We demonstrated that PETRI-seq effectively barcoded single bacterial cells in a species-mixing experiment with E. coli (MG1655) and S. aureus (USA300). Within the S. aureus population, we found rare prophage induction in 0.04% of cells. We further demonstrated that PETRI-seq was able to distinguish between E. coli growth phases based on mRNA expression patterns by combining stationary E. coli with exponential E. coli in multiple experiments.
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Project description:The majority of bacterial genomes have high coding efficiencies, but there are an few genomes of the intracellular bacteria that have low gene density. The genome of the endosymbiont Sodalis glossinidius contains almost 50% pseudogenes containing mutations that putatively silence them at the genomic level. We have applied multiple omic strategies: combining single molecule DNA-sequencing and annotation; stranded RNA-sequencing and proteome analysis to better understand the transcriptional and translational landscape of Sodalis pseudogenes, and potential mechanisms for their control. Between 53% and 74% of the Sodalis transcriptome remains active in cell-free culture. Mean sense transcription from Coding Domain Sequences (CDS) is four-times greater than that from pseudogenes. Core-genome analysis of six Illumina sequenced Sodalis isolates from different host Glossina species shows pseudogenes make up ~40% of the 2,729 genes in the core genome, suggesting are stable and/or Sodalis is a recent introduction across the Glossina genus as a facultative symbiont. These data further shed light on the importance of transcriptional and translational control in deciphering host-microbe interactions, and demonstrate that pseudogenes are more complex than a simple degrading DNA sequence. For this reason, we show that combining genomics, transcriptomics and proteomics represents an important resource for studying prokaryotic genomes with a view to elucidating evolutionary adaptation to novel environmental niches.
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