Evidence map›Paper›PMID 32680961›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Evolutionary stalling and a limit on the power of natural selection to improve a cellular module.

Sandeep Venkataram, Ross Monasky, Shohreh H Sikaroodi, Sergey Kryazhimskiy, Betul Kacar

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

  1. Module-Selection Balance in the Evolution of Modular Organisms.bioRxiv : the preprint server for biology · 2026
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  7. Exploring the expanse between theoretical questions and experimental approaches in the modern study of evolvability.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2023
    Article
  8. Early divergence of translation initiation and elongation factors.Protein science : a publication of the Protein Society · 2022
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  12. An Integrated Method to Reconstruct Ancient Proteins.Methods in molecular biology (Clifton, N.J.) · 2022
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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

5 authors at 2 institutions in 1 country.

Sandeep VenkataramDivision of Biological Sciences, University of California San Diego, La Jolla, CA 92093.ORCID 0000-0002-2012-2633
Ross MonaskyDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721.
Shohreh H SikaroodiDivision of Biological Sciences, University of California San Diego, La Jolla, CA 92093.
Sergey KryazhimskiyDivision of Biological Sciences, University of California San Diego, La Jolla, CA 92093; betul@arizona.edu skryazhi@ucsd.edu.ORCID 0000-0001-9128-8705
Betul KacarDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721; betul@arizona.edu skryazhi@ucsd.edu.ORCID 0000-0002-0482-2357
University of California San Diego · USUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells consist of molecular modules which perform vital biological functions. Cellular modules are key units of adaptive evolution because organismal fitness depends on their performance. Theory shows that in rapidly evolving populations, such as those of many microbes, adaptation is driven primarily by common beneficial mutations with large effects, while other mutations behave as if they are effectively neutral. As a consequence, if a module can be improved only by rare and/or weak beneficial mutations, its adaptive evolution would stall. However, such evolutionary stalling has not been empirically demonstrated, and it is unclear to what extent stalling may limit the power of natural selection to improve modules. Here we empirically characterize how natural selection improves the translation machinery (TM), an essential cellular module. We experimentally evolved populations of

Indexed as

Evolution, MolecularModels, GeneticAdaptation, BiologicalEscherichia coliEscherichia coli ProteinsMutationPeptide Elongation Factor TuProtein BiosynthesisSelection, GeneticEscherichia coli ProteinsPeptide Elongation Factor Tuadaptationexperimental evolutiontranslation

Identifiers

PMID32680961
PMCPMC7414050
OpenAlexW3043544802

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.