Evidence map›Paper›PMID 26252577›Full record

ArticlePloS one2015

Environmental Pressure May Change the Composition Protein Disorder in Prokaryotes.

Esmeralda Vicedo, Avner Schlessinger, Burkhard Rost

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Misprediction of Structural Disorder in Halophiles.Molecules (Basel, Switzerland) · 2019
    Article
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  7. 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

3 authors at 2 institutions in 2 countries.

Esmeralda VicedoTUM, Department of Informatics, Bioinformatics & Computational Biology-i12, Boltzmannstr. 3, 85748 Garching, Munich, Germany; TUM Graduate School of Information Science in Health (GSISH), Boltzmannstr. 11, 85748 Garching, Munich, Germany.
Avner SchlessingerIcahn School of Medicine at Mount Sinai, Department of Pharmacology and Systems Therapeutics, One Gustave L. Levy Place, Box 1603, New York, New York, 10029, United States of America.
Burkhard RostTUM, Department of Informatics, Bioinformatics & Computational Biology-i12, Boltzmannstr. 3, 85748 Garching, Munich, Germany; Institute of Advanced Study (TUM-IAS), Lichtenbergstr. 2a, 85748 Garching, Munich, Germany; Institute for Food and Plant Sciences WZW Weihenstephan, Alte Akademie 8, Freising, Germany.
Technical University of Munich · DEIcahn School of Medicine at Mount Sinai · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many prokaryotic organisms have adapted to incredibly extreme habitats. The genomes of such extremophiles differ from their non-extremophile relatives. For example, some proteins in thermophiles sustain high temperatures by being more compact than homologs in non-extremophiles. Conversely, some proteins have increased volumes to compensate for freezing effects in psychrophiles that survive in the cold. Here, we revealed that some differences in organisms surviving in extreme habitats correlate with a simple single feature, namely the fraction of proteins predicted to have long disordered regions. We predicted disorder with different methods for 46 completely sequenced organisms from diverse habitats and found a correlation between protein disorder and the extremity of the environment. More specifically, the overall percentage of proteins with long disordered regions tended to be more similar between organisms of similar habitats than between organisms of similar taxonomy. For example, predictions tended to detect substantially more proteins with long disordered regions in prokaryotic halophiles (survive high salt) than in their taxonomic neighbors. Another peculiar environment is that of high radiation survived, e.g. by Deinococcus radiodurans. The relatively high fraction of disorder predicted in this extremophile might provide a shield against mutations. Although our analysis fails to establish causation, the observed correlation between such a simplistic, coarse-grained, microscopic molecular feature (disorder content) and a macroscopic variable (habitat) remains stunning.

Indexed as

EnvironmentEcosystemPhylogenyProkaryotic CellsProteinsRadiationSalinityProteins

Identifiers

PMID26252577
PMCPMC4529154
OpenAlexW1948859676

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.