Evidence map›Paper›PMID 26911138›Full record

ArticleBMC genomics2016

Translatomics combined with transcriptomics and proteomics reveals novel functional, recently evolved orphan genes in Escherichia coli O157:H7 (EHEC).

Klaus Neuhaus, Richard Landstorfer, Lea Fellner, Svenja Simon, Andrea Schafferhans, Tatyana Goldberg, Harald Marx, Olga N Ozoline, Burkhard Rost, Bernhard Kuster and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2016. 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
–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

23 citing papers in PubMed.

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  12. EcoSal Plus · 2020
    Review
  13. Are Antisense Proteins in Prokaryotes Functional?Frontiers in molecular biosciences · 2020
    Article
  14. Article
  15. Article
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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

12 authors.

Klaus NeuhausLehrstuhl für Mikrobielle Ökologie, Zentralinstitut für Ernährungs- und Lebensmittelforschung, Wissenschaftszentrum Weihenstephan, Technische Universität München, Weihenstephaner Berg 3, 85354, Freising, Germany. neuhaus@wzw.tum.de.
Richard LandstorferLehrstuhl für Mikrobielle Ökologie, Zentralinstitut für Ernährungs- und Lebensmittelforschung, Wissenschaftszentrum Weihenstephan, Technische Universität München, Weihenstephaner Berg 3, 85354, Freising, Germany. r.landstorfer@gmx.de.
Lea FellnerLehrstuhl für Mikrobielle Ökologie, Zentralinstitut für Ernährungs- und Lebensmittelforschung, Wissenschaftszentrum Weihenstephan, Technische Universität München, Weihenstephaner Berg 3, 85354, Freising, Germany. fellnerlea@hotmail.com.
Svenja SimonLehrstuhl für Datenanalyse und Visualisierung, Fachbereich Informatik und Informationswissenschaft, Universität Konstanz, Box 78, 78457, Konstanz, Germany. simon@dbvis.inf.uni-konstanz.de.
Andrea SchafferhansDepartment of Informatics - Bioinformatics & TUM-IAS, Technische Universität München, Boltzmannstraße 3, 85748, Garching, Germany. andrea.schafferhans@rostlab.org.
Tatyana GoldbergDepartment of Informatics - Bioinformatics & TUM-IAS, Technische Universität München, Boltzmannstraße 3, 85748, Garching, Germany. goldberg@rostlab.org.
Harald MarxChair of Proteomics and Bioanalytics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany. h4r4ld.marx@googlemail.com.
Olga N OzolineInstitute of Cell Biophysics, Russian Academy of Sciences, Moscow Region, 142290, Pushchino, Russia. ozoline@rambler.ru.
Burkhard RostDepartment of Informatics - Bioinformatics & TUM-IAS, Technische Universität München, Boltzmannstraße 3, 85748, Garching, Germany. rost@rostlab.org.
Bernhard KusterChair of Proteomics and Bioanalytics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Emil-Erlenmeyer-Forum 5, 85354, Freising, Germany. kuster@wzw.tum.de.
Daniel A KeimLehrstuhl für Datenanalyse und Visualisierung, Fachbereich Informatik und Informationswissenschaft, Universität Konstanz, Box 78, 78457, Konstanz, Germany. keim@informatik.uni-konstanz.de.
Siegfried SchererLehrstuhl für Mikrobielle Ökologie, Zentralinstitut für Ernährungs- und Lebensmittelforschung, Wissenschaftszentrum Weihenstephan, Technische Universität München, Weihenstephaner Berg 3, 85354, Freising, Germany. siegfried.scherer@wzw.tum.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenomes of E. coli, including that of the human pathogen Escherichia coli O157:H7 (EHEC) EDL933, still harbor undetected protein-coding genes which, apparently, have escaped annotation due to their small size and non-essential function. To find such genes, global gene expression of EHEC EDL933 was examined, using strand-specific RNAseq (transcriptome), ribosomal footprinting (translatome) and mass spectrometry (proteome).

resultsUsing the above methods, 72 short, non-annotated protein-coding genes were detected. All of these showed signals in the ribosomal footprinting assay indicating mRNA translation. Seven were verified by mass spectrometry. Fifty-seven genes are annotated in other enterobacteriaceae, mainly as hypothetical genes; the remaining 15 genes constitute novel discoveries. In addition, protein structure and function were predicted computationally and compared between EHEC-encoded proteins and 100-times randomly shuffled proteins. Based on this comparison, 61 of the 72 novel proteins exhibit predicted structural and functional features similar to those of annotated proteins. Many of the novel genes show differential transcription when grown under eleven diverse growth conditions suggesting environmental regulation. Three genes were found to confer a phenotype in previous studies, e.g., decreased cattle colonization.

conclusionsThese findings demonstrate that ribosomal footprinting can be used to detect novel protein coding genes, contributing to the growing body of evidence that hypothetical genes are not annotation artifacts and opening an additional way to study their functionality. All 72 genes are taxonomically restricted and, therefore, appear to have evolved relatively recently de novo.

Indexed as

Evolution, MolecularGenes, BacterialTranscriptomeAnimalsCattleComputational BiologyEscherichia coli O157Escherichia coli ProteinsMass SpectrometryPhenotypeProteomeRNA, BacterialSequence Analysis, RNAEscherichia coli ProteinsProteomeRNA, Bacterial

Identifiers

PMID26911138
PMCPMC4765031

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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.