Evidence map›Paper›PMID 38637501›Full record

ArticleNature communications2024

Rapid evolutionary change in trait correlations of single proteins.

Pouria Dasmeh, Jia Zheng, Ayşe Nisan Erdoğan, Nobuhiko Tokuriki, Andreas Wagner

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Pouria Dasmeh *Center for Human Genetics, Marburg University, Marburg, 35043, Germany. dasmeh@staff.uni-marburg.de.ORCID http://orcid.org/0000-0002-4527-5302
Jia Zheng *Zhejiang Key Laboratory of Structural Biology, School of Life Sciences, Westlake University, Hangzhou, 310030, China.ORCID http://orcid.org/0009-0007-6568-9928
Ayşe Nisan ErdoğanMichael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Nobuhiko TokurikiMichael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.ORCID http://orcid.org/0000-0002-8235-1829
Andreas WagnerInstitute for Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, 8057, Switzerland. andreas.wagner@ieu.uzh.ch.ORCID http://orcid.org/0000-0003-4299-3840

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) PerMed-COPD 01EK2203A
6 · The paper itself

Abstract

Many organismal traits are genetically determined and covary in evolving populations. The resulting trait correlations can either help or hinder evolvability - the ability to bring forth new and adaptive phenotypes. The evolution of evolvability requires that trait correlations themselves must be able to evolve, but we know little about this ability. To learn more about it, we here study two evolvable systems, a yellow fluorescent protein and the antibiotic resistance protein VIM-2 metallo beta-lactamase. We consider two traits in the fluorescent protein, namely the ability to emit yellow and green light, and three traits in our enzyme, namely the resistance against ampicillin, cefotaxime, and meropenem. We show that correlations between these traits can evolve rapidly through both mutation and selection on short evolutionary time scales. In addition, we show that these correlations are driven by a protein's ability to fold, because single mutations that alter foldability can dramatically change trait correlations. Since foldability is important for most proteins and their traits, mutations affecting protein folding may alter trait correlations mediated by many other proteins. Thus, mutations that affect protein foldability may also help shape the correlations of complex traits that are affected by hundreds of proteins.

Indexed as

AmpicillinProteinsBiological EvolutionCefotaximeMutationPhenotypeAmpicillinCefotaximeProteins

Identifiers

PMID38637501
PMCPMC11026499

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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.