Evidence map›Paper›PMID 30699103›Full record

ArticlePLoS biology2019

Network hubs affect evolvability.

Jana Helsen, Jens Frickel, Rob Jelier, Kevin J Verstrepen

Abstract readComment
In one paragraph

Article in PLoS biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Gene Loss Predictably Drives Evolutionary Adaptation.Molecular biology and evolution · 2020
    Article
  10. Article
  11. Article
  12. Network architectures supporting learnability.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jana HelsenCMPG Laboratory of Genetics and Genomics, Departement Microbiële en Moleculaire Systemen (M2S), KU Leuven, Leuven, Belgium.
Jens FrickelCMPG Laboratory of Genetics and Genomics, Departement Microbiële en Moleculaire Systemen (M2S), KU Leuven, Leuven, Belgium.
Rob JelierCMPG Laboratory of Predictive Genetics and Multicellular Systems, Departement Microbiële en Moleculaire Systemen (M2S), KU Leuven, Leuven, Belgium.
Kevin J VerstrepenCMPG Laboratory of Genetics and Genomics, Departement Microbiële en Moleculaire Systemen (M2S), KU Leuven, Leuven, Belgium.ORCID 0000-0002-3077-6219

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The regulatory processes in cells are typically organized into complex genetic networks. However, it is still unclear how this network structure modulates the evolution of cellular regulation. One would expect that mutations in central and highly connected modules of a network (so-called hubs) would often result in a breakdown and therefore be an evolutionary dead end. However, a new study by Koubkova-Yu and colleagues finds that in some circumstances, altering a hub can offer a quick evolutionary advantage. Specifically, changes in a hub can induce significant phenotypic changes that allow organisms to move away from a local fitness peak, whereas the fitness defects caused by the perturbed hub can be mitigated by mutations in its interaction partners. Together, the results demonstrate how network architecture shapes and facilitates evolutionary adaptation.

Indexed as

Gene Regulatory Networks

Identifiers

PMID30699103
PMCPMC6370235

What OpenQuestion holds

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LicenceCC BY
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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.