Evidence map›Paper›PMID 29304737›Full record

ArticleBMC genomics2018

RNAseq analysis of α-proteobacterium Gluconobacter oxydans 621H.

Angela Kranz, Tobias Busche, Alexander Vogel, Björn Usadel, Jörn Kalinowski, Michael Bott, Tino Polen

Open access · goldAbstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Identification of Gradient Promoters ofFrontiers in bioengineering and biotechnology · 2021
    Article
  5. Review
  6. Article
  7. Article
  8. 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

7 authors at 2 institutions in 1 country.

Angela KranzIBG-1: Biotechnology, Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.
Tobias BuscheCenter for Biotechnology (CeBiTec), Universität Bielefeld, Universitätsstr. 25, 33615, Bielefeld, Germany.
Alexander VogelThe Bioeconomy Science Center (BioSC), c/o Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.
Björn UsadelThe Bioeconomy Science Center (BioSC), c/o Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.
Jörn KalinowskiCenter for Biotechnology (CeBiTec), Universität Bielefeld, Universitätsstr. 25, 33615, Bielefeld, Germany.
Michael BottIBG-1: Biotechnology, Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany.
Tino PolenIBG-1: Biotechnology, Institute of Bio- and Geosciences, Forschungszentrum Jülich GmbH, 52425, Jülich, Germany. t.polen@fz-juelich.de.ORCID 0000-0002-0065-3007
Forschungszentrum Jülich · DEBielefeld University · DE

Funding

Ministry of Innovation, Science and Research BioSC No. 313/323-400-002 13
6 · The paper itself

Abstract

backgroundThe acetic acid bacterium Gluconobacter oxydans 621H is characterized by its exceptional ability to incompletely oxidize a great variety of carbohydrates in the periplasm. The metabolism of this α-proteobacterium has been characterized to some extent, yet little is known about its transcriptomes and related data. In this study, we applied two different RNAseq approaches. Primary transcriptomes enriched for 5'-ends of transcripts were sequenced to detect transcription start sites, which allow subsequent analysis of promoter motifs, ribosome binding sites, and 5´-UTRs. Whole transcriptomes were sequenced to identify expressed genes and operon structures.

resultsSequencing of primary transcriptomes of G. oxydans revealed 2449 TSSs, which were classified according to their genomic context followed by identification of promoter and ribosome binding site motifs, analysis of 5´-UTRs including validation of predicted cis-regulatory elements and correction of start codons. 1144 (41%) of all genes were found to be expressed monocistronically, whereas 1634 genes were organized in 571 operons. Together, TSSs and whole transcriptome data were also used to identify novel intergenic (18), intragenic (328), and antisense transcripts (313).

conclusionsThis study provides deep insights into the transcriptional landscapes of G. oxydans. The comprehensive transcriptome data, which we made publicly available, facilitate further analysis of promoters and other regulatory elements. This will support future approaches for rational strain development and targeted gene expression in G. oxydans. The corrections of start codons further improve the high quality genome reference and support future proteome analysis.

Indexed as

Genome, BacterialTranscriptomeBacterial ProteinsGluconobacter oxydansHigh-Throughput Nucleotide SequencingOperonPromoter Regions, GeneticRegulatory Elements, TranscriptionalSequence Analysis, RNATranscription Initiation SiteBacterial ProteinsAntisense transcriptsGluconobacter oxydansOperonsRNAseqTranscription start siteTranscriptome

Identifiers

PMID29304737
PMCPMC5756330
OpenAlexW2782404147

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.