Evidence map›Paper›PMID 29843608›Full record

ArticleBMC genomics2018

Transcription profiling of butanol producer Clostridium beijerinckii NRRL B-598 using RNA-Seq.

Karel Sedlar, Pavlina Koscova, Maryna Vasylkivska, Barbora Branska, Jan Kolek, Kristyna Kupkova, Petra Patakova, Ivo Provaznik

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

  1. Augusta: From RNA-Seq to gene regulatory networks and Boolean models.Computational and structural biotechnology journal · 2024
    Article
  2. Genome-Wide Transcriptomic Analysis ofJournal of microbiology and biotechnology · 2021
    Article
  3. Article
  4. Sporulation in solventogenic and acetogenic clostridia.Applied microbiology and biotechnology · 2021
    Review
  5. Article
  6. Article
  7. Article
  8. Phenotypic and Genomic Analysis ofFrontiers in bioengineering and biotechnology · 2020
    Article
  9. Review
  10. Article
  11. Article
  12. A transcriptional response ofBiotechnology for biofuels · 2019
    Article
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

8 authors.

Karel SedlarDepartment of Biomedical Engineering, Brno University of Technology, Technicka 12, 616 00, Brno, Czechia. sedlar@feec.vutbr.cz.ORCID http://orcid.org/0000-0002-8269-4020
Pavlina KoscovaDepartment of Biomedical Engineering, Brno University of Technology, Technicka 12, 616 00, Brno, Czechia.
Maryna VasylkivskaDepartment of Biotechnology, University of Chemistry and Technology Prague, Technicka 5, 166 28, Prague, Czechia.
Barbora BranskaDepartment of Biotechnology, University of Chemistry and Technology Prague, Technicka 5, 166 28, Prague, Czechia.
Jan KolekDepartment of Biotechnology, University of Chemistry and Technology Prague, Technicka 5, 166 28, Prague, Czechia.
Kristyna KupkovaDepartment of Biomedical Engineering, Brno University of Technology, Technicka 12, 616 00, Brno, Czechia.
Petra PatakovaDepartment of Biotechnology, University of Chemistry and Technology Prague, Technicka 5, 166 28, Prague, Czechia.
Ivo ProvaznikDepartment of Biomedical Engineering, Brno University of Technology, Technicka 12, 616 00, Brno, Czechia.

Funding

Grantová Agentura České Republiky 17-00551S
6 · The paper itself

Abstract

backgroundThinning supplies of natural resources increase attention to sustainable microbial production of bio-based fuels. The strain Clostridium beijerinckii NRRL B-598 is a relatively well-described butanol producer regarding its genotype and phenotype under various conditions. However, a link between these two levels, lying in the description of the gene regulation mechanisms, is missing for this strain, due to the lack of transcriptomic data.

resultsIn this paper, we present a transcription profile of the strain over the whole fermentation using an RNA-Seq dataset covering six time-points with the current highest dynamic range among solventogenic clostridia. We investigated the accuracy of the genome sequence and particular genome elements, including pseudogenes and prophages. While some pseudogenes were highly expressed, all three identified prophages remained silent. Furthermore, we identified major changes in the transcriptional activity of genes using differential expression analysis between adjacent time-points. We identified functional groups of these significantly regulated genes and together with fermentation and cultivation kinetics captured using liquid chromatography and flow cytometry, we identified basic changes in the metabolism of the strain during fermentation. Interestingly, C. beijerinckii NRRL B-598 demonstrated different behavior in comparison with the closely related strain C. beijerinckii NCIMB 8052 in the latter phases of cultivation.

conclusionsWe provided a complex analysis of the C. beijerinckii NRRL B-598 fermentation profile using several technologies, including RNA-Seq. We described the changes in the global metabolism of the strain and confirmed the uniqueness of its behavior. The whole experiment demonstrated a good reproducibility. Therefore, we will be able to repeat the experiment under selected conditions in order to investigate particular metabolic changes and signaling pathways suitable for following targeted engineering.

Indexed as

Gene Expression ProfilingSequence Analysis, RNABacteriophagesButanolsClostridium beijerinckiiDNA, ViralFermentationKineticsPseudogenesTranscription, GeneticButanolsDNA, ViralABE fermentationClostridium beijerinckii NRRL B-598RNA-Seq transcriptome

Identifiers

PMID29843608
PMCPMC5975590

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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.