Evidence map›Paper›PMID 32658971›Full record

ArticleMolecular biology and evolution2020

Gene Loss Predictably Drives Evolutionary Adaptation.

Jana Helsen, Karin Voordeckers, Laura Vanderwaeren, Toon Santermans, Maria Tsontaki, Kevin J Verstrepen, Rob Jelier

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 1 pooled it
–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

67 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The Origin and Early Evolution of Fungi: Challenges, Inferences, and Principles.Annual review of cell and developmental biology · 2026
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7 more citing papers are in PubMed but not listed here.

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

7 authors.

Jana HelsenLaboratory of Predictive Genetics and Multicellular Systems, CMPG, KU Leuven, Leuven, Belgium.
Karin VoordeckersLaboratory of Genetics and Genomics, CMPG, KU Leuven, Leuven, Belgium.
Laura VanderwaerenLaboratory of Predictive Genetics and Multicellular Systems, CMPG, KU Leuven, Leuven, Belgium.
Toon SantermansLaboratory of Predictive Genetics and Multicellular Systems, CMPG, KU Leuven, Leuven, Belgium.
Maria TsontakiLaboratory of Genetics and Genomics, CMPG, KU Leuven, Leuven, Belgium.
Kevin J VerstrepenLaboratory of Genetics and Genomics, CMPG, KU Leuven, Leuven, Belgium.
Rob JelierLaboratory of Predictive Genetics and Multicellular Systems, CMPG, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loss of gene function is common throughout evolution, even though it often leads to reduced fitness. In this study, we systematically evaluated how an organism adapts after deleting genes that are important for growth under oxidative stress. By evolving, sequencing, and phenotyping over 200 yeast lineages, we found that gene loss can enhance an organism's capacity to evolve and adapt. Although gene loss often led to an immediate decrease in fitness, many mutants rapidly acquired suppressor mutations that restored fitness. Depending on the strain's genotype, some ultimately even attained higher fitness levels than similarly adapted wild-type cells. Further, cells with deletions in different modules of the genetic network followed distinct and predictable mutational trajectories. Finally, losing highly connected genes increased evolvability by facilitating the emergence of a more diverse array of phenotypes after adaptation. Together, our findings show that loss of specific parts of a genetic network can facilitate adaptation by opening alternative evolutionary paths.

Indexed as

Biological EvolutionGene DeletionGenetic FitnessAdaptation, BiologicalGene Regulatory NetworksOxidative StressSaccharomyces cerevisiaeadaptationevolvabilityexperimental evolutionfitness landscapegenetic networkoxidative stress

Identifiers

PMID32658971
PMCPMC7530610

What OpenQuestion holds

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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.