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Title: Transcriptome analysis of thermophilic methylotrophic Bacillus methanolicus MGA3 using RNA-sequencing provides detailed insights into its previously uncharted transcriptional landscape      
dateReleased:
12-24-2014
description:
Background: Bacillus methanolicus MGA3 is a thermophilic, facultative ribulose monophosphate (RuMP) cycle methylotroph. Methylotrophy in this organism depends on the endogenous plasmid pBM19 although all ribulose monophosphate cycle enzymes are also encoded on the chromosome. Together with its ability to produce high yields of amino acids, the relevance of this microorganism as a promising and valuable candidate for future biotechnological applications is evident. The B. methanolicus MGA3 genome consists of a 3,337,035 nucleotides (nt) circular chromosome, the 19,174 nt plasmid pBM19 and the 68,999 nt plasmid pBM69. 3,218 protein-coding regions were annotated on the chromosome, 22 on pBM19 and 82 on pBM69. In the present study, the RNA-seq approach was used to comprehensively investigate the transcriptome of B. methanolicus MGA3 in order to improve the genome annotation, identify novel transcripts, analyze conserved sequence motifs involved in gene expression and reveal operon structures. For this aim, two different cDNA library preparation methods were applied: one which allows characterization of the whole transcriptome and another which includes enrichment of primary transcript 5’‑ends. Results: Analysis of the primary transcriptome data enabled the detection of 2,167 putative transcription start sites (TSSs) which were categorized into 1,642 TSSs located in the upstream region (5’ UTR) of known protein-coding genes and 525 TSSs of novel antisense, intragenic, or intergenic transcripts. The first step of the analysis was the correction of 14 wrongly annotated translation start sites (TLSs) on the basis of the primary transcriptome data. Further investigation of the identified 5’ UTRs resulted in the detailed characterization of their length distribution and the detection of 75 hitherto unknown cis regulatory RNA elements. In addition to this, the exact TSSs positions were utilized to define conserved sequence motifs for translation start sites, ribosome binding sites and promoters in B. methanolicus MGA3. Based on the whole transcriptome data set, novel transcripts, operon structures and mRNA abundances were determined. The analysis of the operon structures revealed that almost half of the genes are transcribed monocistronically (940), whereas 1,164 genes are organized in 381 operons. Several of the genes related to methylotrophy had highly abundant transcripts. Conclusion: The extensive insights into the transcriptional landscape of B. methanolicus MGA3, gained in this study, represent a valuable foundation for further comparative quantitative transcriptome analyses and possibly also for the development of molecular biology tools which at present are very limited for this organism. Pooled samples from 16 different cultivation conditions are analysed in whole transcriptome and 5'end enriched transcriptome protocols.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-64469
refinement:
raw
alternateIdentifiers:
64469
keywords:
functional genomics
dateModified:
01-02-2015
availability:
available
types:
gene expression
name:
Bacillus methanolicus
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-64469/E-GEOD-64469.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-64469/E-GEOD-64469.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE64469
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

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