Evidence map›Paper›PMID 28245801›Full record

ArticleBMC genomics2017

Differentiation of ncRNAs from small mRNAs in Escherichia coli O157:H7 EDL933 (EHEC) by combined RNAseq and RIBOseq - ryhB encodes the regulatory RNA RyhB and a peptide, RyhP.

Klaus Neuhaus, Richard Landstorfer, Svenja Simon, Steffen Schober, Patrick R Wright, Cameron Smith, Rolf Backofen, Romy Wecko, Daniel A Keim, Siegfried Scherer

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Distribution of prophage-encoded Pas sRNAs across pathogenicbioRxiv : the preprint server for biology · 2026
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  6. Small RNAs beyond Model Organisms: Have We Only Scratched the Surface?International journal of molecular sciences · 2022
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  16. Are Antisense Proteins in Prokaryotes Functional?Frontiers in molecular biosciences · 2020
    Article
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  19. Review
  20. 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

10 authors at 4 institutions in 1 country.

Klaus NeuhausLehrstuhl für Mikrobielle Ökologie, Wissenschaftszentrum Weihenstephan, Technische Universität München, Weihenstephaner Berg 3, D-85354, Freising, Germany. neuhaus@tum.de.
Richard LandstorferLehrstuhl für Mikrobielle Ökologie, Wissenschaftszentrum Weihenstephan, Technische Universität München, Weihenstephaner Berg 3, D-85354, Freising, Germany.
Svenja SimonInformatik und Informationswissenschaft, Universität Konstanz, D-78457, Konstanz, Germany.
Steffen SchoberInstitut für Nachrichtentechnik, Universität Ulm, Albert-Einstein-Allee 43, D-89081, Ulm, Germany.
Patrick R WrightBioinformatics Group, Department of Computer Science and BIOSS Centre for Biological Signaling Studies, Cluster of Excellence, University of Freiburg, D-79110, Freiburg, Germany.
Cameron SmithBioinformatics Group, Department of Computer Science and BIOSS Centre for Biological Signaling Studies, Cluster of Excellence, University of Freiburg, D-79110, Freiburg, Germany.
Rolf BackofenBioinformatics Group, Department of Computer Science and BIOSS Centre for Biological Signaling Studies, Cluster of Excellence, University of Freiburg, D-79110, Freiburg, Germany.
Romy WeckoLehrstuhl für Mikrobielle Ökologie, Wissenschaftszentrum Weihenstephan, Technische Universität München, Weihenstephaner Berg 3, D-85354, Freising, Germany.
Daniel A KeimInformatik und Informationswissenschaft, Universität Konstanz, D-78457, Konstanz, Germany.
Siegfried SchererLehrstuhl für Mikrobielle Ökologie, Wissenschaftszentrum Weihenstephan, Technische Universität München, Weihenstephaner Berg 3, D-85354, Freising, Germany.
Technical University of Munich · DEUniversity of Freiburg · DEUniversity of Konstanz · DEUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile NGS allows rapid global detection of transcripts, it remains difficult to distinguish ncRNAs from short mRNAs. To detect potentially translated RNAs, we developed an improved protocol for bacterial ribosomal footprinting (RIBOseq). This allowed distinguishing ncRNA from mRNA in EHEC. A high ratio of ribosomal footprints per transcript (ribosomal coverage value, RCV) is expected to indicate a translated RNA, while a low RCV should point to a non-translated RNA.

resultsBased on their low RCV, 150 novel non-translated EHEC transcripts were identified as putative ncRNAs, representing both antisense and intergenic transcripts, 74 of which had expressed homologs in E. coli MG1655. Bioinformatics analysis predicted statistically significant target regulons for 15 of the intergenic transcripts; experimental analysis revealed 4-fold or higher differential expression of 46 novel ncRNA in different growth media. Out of 329 annotated EHEC ncRNAs, 52 showed an RCV similar to protein-coding genes, of those, 16 had RIBOseq patterns matching annotated genes in other enterobacteriaceae, and 11 seem to possess a Shine-Dalgarno sequence, suggesting that such ncRNAs may encode small proteins instead of being solely non-coding. To support that the RIBOseq signals are reflecting translation, we tested the ribosomal-footprint covered ORF of ryhB and found a phenotype for the encoded peptide in iron-limiting condition.

conclusionDetermination of the RCV is a useful approach for a rapid first-step differentiation between bacterial ncRNAs and small mRNAs. Further, many known ncRNAs may encode proteins as well.

Indexed as

Sequence Analysis, RNABase SequenceEscherichia coli O157Gene Expression ProfilingPeptidesPhenotypeRibosomesRNA, Small UntranslatedPeptidesRNA, Small Untranslated

Identifiers

PMID28245801
PMCPMC5331693
OpenAlexW2592735466

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.