Evidence map›Paper›PMID 38719995›Full record

ReviewThe EMBO journal2024

Mutational robustness and the role of buffer genes in evolvability.

Mohammed T Tawfeeq, Karin Voordeckers, Pieter van den Berg, Sander K Govers, Jan Michiels, Kevin J Verstrepen

Abstract readReview
In one paragraph

Review in The EMBO journal, 2024. 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
–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

11 citing papers in PubMed.

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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

6 authors.

Mohammed T TawfeeqVIB-KU Leuven Center for Microbiology, Leuven, Belgium.ORCID http://orcid.org/0000-0001-9504-5284
Karin VoordeckersVIB-KU Leuven Center for Microbiology, Leuven, Belgium.ORCID http://orcid.org/0000-0001-6397-840X
Pieter van den BergDepartment of Microbial and Molecular Systems, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0001-7886-9345
Sander K GoversDepartment of Biology, KU Leuven, Leuven, Belgium.
Jan MichielsVIB-KU Leuven Center for Microbiology, Leuven, Belgium.
Kevin J VerstrepenVIB-KU Leuven Center for Microbiology, Leuven, Belgium. Kevin.Verstrepen@kuleuven.be.ORCID http://orcid.org/0000-0002-3077-6219

Funding

Fonds Wetenschappelijk Onderzoek (FWO) (Grant No. 11H1823N)KU Leuven (Katholieke Universiteit Leuven) C1 grant (C16/23/007)
6 · The paper itself

Abstract

Organisms rely on mutations to fuel adaptive evolution. However, many mutations impose a negative effect on fitness. Cells may have therefore evolved mechanisms that affect the phenotypic effects of mutations, thus conferring mutational robustness. Specifically, so-called buffer genes are hypothesized to interact directly or indirectly with genetic variation and reduce its effect on fitness. Environmental or genetic perturbations can change the interaction between buffer genes and genetic variation, thereby unmasking the genetic variation's phenotypic effects and thus providing a source of variation for natural selection to act on. This review provides an overview of our understanding of mutational robustness and buffer genes, with the chaperone gene HSP90 as a key example. It discusses whether buffer genes merely affect standing variation or also interact with de novo mutations, how mutational robustness could influence evolution, and whether mutational robustness might be an evolved trait or rather a mere side-effect of complex genetic interactions.

Indexed as

Evolution, MolecularHSP90 Heat-Shock ProteinsMutationAnimalsGenetic FitnessGenetic VariationHumansSelection, GeneticHSP90 Heat-Shock ProteinsCryptic Genetic VariationEvolvabilityGenetic BufferingHsp90Mutational Robustness

Identifiers

PMID38719995
PMCPMC11183146

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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.