Evidence map›Paper›PMID 29106597›Full record

ArticleMolecular biology and evolution2018

Thermophilic Adaptation in Prokaryotes Is Constrained by Metabolic Costs of Proteostasis.

Sergey V Venev, Konstantin B Zeldovich

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Language models reveal a complex sequence basis for adaptive convergent evolution of protein functions.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. [Research on prediction model of protein thermostability integrating graph embedding and network topology features].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Main Factors Shaping Amino Acid Usage Across Evolution.Journal of molecular evolution · 2023
    Review
  9. Learning deep representations of enzyme thermal adaptation.Protein science : a publication of the Protein Society · 2022
    Article
  10. Article
  11. 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

2 authors at 1 institution in 1 country.

Sergey V VenevProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, 368 Plantation St, Worcester, MA.
Konstantin B ZeldovichProgram in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, 368 Plantation St, Worcester, MA.
University of Massachusetts Chan Medical School · US

Funding

Tracking the evolution of drug resistance for highly potent HIV protease inhibitoP01GM109767 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SCHIFFER, CELIA A. · 2014 to 2018
$8.0M
NIGMS NIH HHS P01 GM109767
6 · The paper itself

Abstract

Prokaryotes evolved to thrive in an extremely diverse set of habitats, and their proteomes bear signatures of environmental conditions. Although correlations between amino acid usage and environmental temperature are well-documented, understanding of the mechanisms of thermal adaptation remains incomplete. Here, we couple the energetic costs of protein folding and protein homeostasis to build a microscopic model explaining both the overall amino acid composition and its temperature trends. Low biosynthesis costs lead to low diversity of physical interactions between amino acid residues, which in turn makes proteins less stable and drives up chaperone activity to maintain appropriate levels of folded, functional proteins. Assuming that the cost of chaperone activity is proportional to the fraction of unfolded client proteins, we simulated thermal adaptation of model proteins subject to minimization of the total cost of amino acid synthesis and chaperone activity. For the first time, we predicted both the proteome-average amino acid abundances and their temperature trends simultaneously, and found strong correlations between model predictions and 402 genomes of bacteria and archaea. The energetic constraint on protein evolution is more apparent in highly expressed proteins, selected by codon adaptation index. We found that in bacteria, highly expressed proteins are similar in composition to thermophilic ones, whereas in archaea no correlation between predicted expression level and thermostability was observed. At the same time, thermal adaptations of highly expressed proteins in bacteria and archaea are nearly identical, suggesting that universal energetic constraints prevail over the phylogenetic differences between these domains of life.

Indexed as

AcclimatizationAdaptation, PhysiologicalAmino AcidsArchaeaBacteriaBiological EvolutionCodonComputer SimulationEvolution, MolecularHot TemperaturePhylogenyProkaryotic CellsProteomeProteostasisTemperatureAmino AcidsCodonProteomechaperonesevolutionhomeostasisprotein foldingthermophiles

Identifiers

PMID29106597
PMCPMC5850847
OpenAlexW2765302136

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.