Evidence map›Paper›PMID 25758049›Full record

ArticleBMC genomics2015

Transcriptome analysis of thermophilic methylotrophic Bacillus methanolicus MGA3 using RNA-sequencing provides detailed insights into its previously uncharted transcriptional landscape.

Marta Irla, Armin Neshat, Trygve Brautaset, Christian Rückert, Jörn Kalinowski, Volker F Wendisch

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 53 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Marta IrlaGenetics of Prokaryotes, Faculty of Biology & Center for Biotechnology, Bielefeld University, Universitätsstr. 25, 33615, Bielefeld, Germany. mairla@cebitec.uni-bielefeld.de.
Armin NeshatMicrobial Genomics and Biotechnology, Center for Biotechnology, Bielefeld University, Universitätstr. 27, 33615, Bielefeld, Germany. armin.neshat@cebitec.uni-bielefeld.de.
Trygve BrautasetDepartment of Molecular Biology, SINTEF Materials and Chemistry, Sem Selands vei 2, 7465, Trondheim, Norway. trygve.brautaset@sintef.no.
Christian RückertMicrobial Genomics and Biotechnology, Center for Biotechnology, Bielefeld University, Universitätstr. 27, 33615, Bielefeld, Germany. christian.rueckert@cebitec.uni-bielefeld.de.
Jörn KalinowskiMicrobial Genomics and Biotechnology, Center for Biotechnology, Bielefeld University, Universitätstr. 27, 33615, Bielefeld, Germany. joern.kalinowski@cebitec.uni-bielefeld.de.
Volker F WendischGenetics of Prokaryotes, Faculty of Biology & Center for Biotechnology, Bielefeld University, Universitätsstr. 25, 33615, Bielefeld, Germany. volker.wendisch@uni-bielefeld.de.
Bielefeld University · DESINTEF · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacillus methanolicus MGA3 is a thermophilic, facultative ribulose monophosphate (RuMP) cycle methylotroph. Together with its ability to produce high yields of amino acids, the relevance of this microorganism as a promising candidate for 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.

resultsAnalysis 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. Firstly, 14 wrongly annotated translation start sites (TLSs) were corrected based on 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. Moreover, 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.

conclusionThe 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.

Indexed as

Transcriptome5' Untranslated RegionsBacillusBacterial ProteinsGenome, BacterialPromoter Regions, GeneticRegulatory Elements, TranscriptionalRibosomesSequence Analysis, RNATranscription Initiation Site5' Untranslated RegionsBacterial Proteins

Identifiers

PMID25758049
PMCPMC4342826
OpenAlexW2016359194

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.