Evidence map›Paper›PMID 27189986›Full record

ArticleGenome biology and evolution2016

DnaK-Dependent Accelerated Evolutionary Rate in Prokaryotes.

A Samer Kadibalban, David Bogumil, Giddy Landan, Tal Dagan

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2016. 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
2.1field-weighted citation impact, top 13% 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, 32 citations in OpenAlex.

  1. Review
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  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Mechanisms of protein evolution.Protein science : a publication of the Protein Society · 2022
    Review
  9. Article
  10. Article
  11. The Hsp70-Chaperone Machines in Bacteria.Frontiers in molecular biosciences · 2021
    Review
  12. The Impact of Protein Architecture on Adaptive Evolution.Molecular biology and evolution · 2019
    Article
  13. Article
  14. Review
  15. Article
  16. Protein evolution speed depends on its stability and abundance and on chaperone concentrations.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  17. Article
  18. Review
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

4 authors at 2 institutions in 2 countries.

A Samer KadibalbanInstitute of General Microbiology, Christian-Albrechts Universtiy of Kiel, Kiel, Germany.
David BogumilPresent address: The Department of Life Sciences & the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Giddy LandanInstitute of General Microbiology, Christian-Albrechts Universtiy of Kiel, Kiel, Germany.
Tal DaganInstitute of General Microbiology, Christian-Albrechts Universtiy of Kiel, Kiel, Germany tdagan@ifam.uni-kiel.de.
Christian-Albrechts-Universität zu Kiel · DEBen-Gurion University of the Negev · IL

Funding

European Research Council 281357
6 · The paper itself

Abstract

Many proteins depend on an interaction with molecular chaperones in order to fold into a functional tertiary structure. Previous studies showed that protein interaction with the GroEL/GroES chaperonine and Hsp90 chaperone can buffer the impact of slightly deleterious mutations in the protein sequence. This capacity of GroEL/GroES to prevent protein misfolding has been shown to accelerate the evolution of its client proteins. Whether other bacterial chaperones have a similar effect on their client proteins is currently unknown. Here, we study the impact of DnaK (Hsp70) chaperone on the evolution of its client proteins. Evolutionary parameters were derived from comparison of the Escherichia coli proteome to 1,808,565 orthologous proteins in 1,149 proteobacterial genomes. Our analysis reveals a significant positive correlation between protein binding frequency with DnaK and evolutionary rate. Proteins with high binding affinity to DnaK evolve on average 4.3-fold faster than proteins in the lowest binding affinity class at the genus resolution. Differences in evolutionary rates of DnaK interactor classes are still significant after adjusting for possible effects caused by protein expression level. Furthermore, we observe an additive effect of DnaK and GroEL chaperones on the evolutionary rates of their common interactors. Finally, we found pronounced similarities in the physicochemical profiles that characterize proteins belonging to DnaK and GroEL interactomes. Our results thus implicate DnaK-mediated folding as a major component in shaping protein evolutionary dynamics in bacteria and supply further evidence for the long-term manifestation of chaperone-mediated folding on genome evolution.

Indexed as

Evolution, MolecularChaperonin 60Escherichia coliEscherichia coli ProteinsGenome, BacterialHSP70 Heat-Shock ProteinsHSP90 Heat-Shock ProteinsMolecular ChaperonesProtein BindingProteomeSequence DeletionChaperonin 60dnaK protein, E coliEscherichia coli ProteinsHSP70 Heat-Shock ProteinsHSP90 Heat-Shock ProteinsMolecular ChaperonesProteomechaperonesgenome evolutionGroELmicrobial evolution

Identifiers

PMID27189986
PMCPMC4898814
OpenAlexW2342668049

What OpenQuestion holds

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LicenceCC BY-NC
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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.