Evidence map›Paper›PMID 17295914›Full record

ArticleGenome biology2007

Interrupted coding sequences in Mycobacterium smegmatis: authentic mutations or sequencing errors?

Caroline Deshayes, Emmanuel Perrodou, Sebastien Gallien, Daniel Euphrasie, Christine Schaeffer, Alain Van-Dorsselaer, Olivier Poch, Odile Lecompte, Jean-Marc Reyrat

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Investigating the role ofMicrobiology spectrum · 2024
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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

9 authors at 4 institutions in 1 country.

Caroline DeshayesUniversité Paris Descartes, Faculté de Médecine René Descartes, Paris Cedex 15, F-75730, France. deshayes@necker.fr
Emmanuel Perrodou
Sebastien Gallien
Daniel Euphrasie
Christine Schaeffer
Alain Van-Dorsselaer
Olivier Poch
Odile Lecompte
Jean-Marc Reyrat
Centre National de la Recherche Scientifique · FRDélégation Paris 5 · FRInserm · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn silico analysis has shown that all bacterial genomes contain a low percentage of ORFs with undetected frameshifts and in-frame stop codons. These interrupted coding sequences (ICDSs) may really be present in the organism or may result from misannotation based on sequencing errors. The reality or otherwise of these sequences has major implications for all subsequent functional characterization steps, including module prediction, comparative genomics and high-throughput proteomic projects.

resultsWe show here, using Mycobacterium smegmatis as a model species, that a significant proportion of these ICDSs result from sequencing errors. We used a resequencing procedure and mass spectrometry analysis to determine the nature of a number of ICDSs in this organism. We found that 28 of the 73 ICDSs investigated correspond to sequencing errors.

conclusionThe correction of these errors results in modification of the predicted amino acid sequences of the corresponding proteins and changes in annotation. We suggest that each bacterial ICDS should be investigated individually, to determine its true status and to ensure that the genome sequence is appropriate for comparative genomics analyses.

Indexed as

Research DesignChromatography, LiquidComputational BiologyElectrophoresis, Gel, Two-DimensionalFrameshift MutationGenomicsMycobacterium smegmatisSequence Analysis, DNATandem Mass Spectrometry

Identifiers

PMID17295914
PMCPMC1852416
OpenAlexW2127603793

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.