Evidence map›Paper›PMID 25731168›Full record

ArticleNature2015

Polyploidy can drive rapid adaptation in yeast.

Anna M Selmecki, Yosef E Maruvka, Phillip A Richmond, Marie Guillet, Noam Shoresh, Amber L Sorenson, Subhajyoti De, Roy Kishony, Franziska Michor, Robin Dowell and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Nature, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers.

0numbers the graph read from it
0cells of the map it votes in
240citing papers in PubMed
40.3field-weighted citation impact, top 1% 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

240 citing papers in PubMed, 510 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Growth under pressure: The pros and cons of polyploidy induced by stress.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Review
  7. Ecological opportunity and the onset of polyploid niche expansion waves.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Review
  9. Article
  10. Article
  11. Evolutionary cell biology comes of age.Journal of cell science · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

180 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Anna M Selmecki1] Department of Pediatric Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [2] Department of Cell Biology, Harvard Medical School, 25 Shattuck Street, Boston, Massachusetts 02215, USA [3] Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, Maryland 20815, USA.
Yosef E Maruvka1] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue Boston, Massachusetts 02215, USA [2] Department of Biostatistics, Harvard School of Public Health, 158 Longwood Avenue, Boston, Massachusetts 02215, USA.
Phillip A Richmond1] BioFrontiers Institute, University of Colorado at Boulder, 3415 Colorado Avenue, Boulder, Colorado 80303, USA [2] Department of Molecular, Cellular and Developmental Biology, University of Colorado at Boulder, 347 UCB, Boulder, Colorado 80309, USA.
Marie Guillet1] Department of Pediatric Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [2] Department of Cell Biology, Harvard Medical School, 25 Shattuck Street, Boston, Massachusetts 02215, USA [3] Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, Maryland 20815, USA.
Noam ShoreshBroad Institute, 415 Main Street, Cambridge, Massachusetts 02142, USA.
Amber L Sorenson1] BioFrontiers Institute, University of Colorado at Boulder, 3415 Colorado Avenue, Boulder, Colorado 80303, USA [2] Department of Molecular, Cellular and Developmental Biology, University of Colorado at Boulder, 347 UCB, Boulder, Colorado 80309, USA.
Subhajyoti De1] Department of Medicine, University of Colorado School of Medicine, 13001 East 17th Place, Aurora, Colorado 80045, USA [2] Department of Biostatistics and Informatics, Colorado School of Public Health, 13001 East 17th Place, Aurora, Colorado 80045, USA [3] Molecular Oncology Program, University of Colorado Cancer Center, 13001 East 17th Place, Aurora, Colorado 80045, USA.
Roy Kishony1] Department of Systems Biology, Harvard Medical School, 200 Longwood Ave, Boston, Massachusetts 02115, USA [2] Department of Biology, Technion - Israel Institute of Technology, Haifa, 32000, Israel.
Franziska Michor1] Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, 450 Brookline Avenue Boston, Massachusetts 02215, USA [2] Department of Biostatistics, Harvard School of Public Health, 158 Longwood Avenue, Boston, Massachusetts 02215, USA.
Robin Dowell1] BioFrontiers Institute, University of Colorado at Boulder, 3415 Colorado Avenue, Boulder, Colorado 80303, USA [2] Department of Molecular, Cellular and Developmental Biology, University of Colorado at Boulder, 347 UCB, Boulder, Colorado 80309, USA.
David Pellman1] Department of Pediatric Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, Boston, Massachusetts 02215, USA [2] Department of Cell Biology, Harvard Medical School, 25 Shattuck Street, Boston, Massachusetts 02215, USA [3] Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, Maryland 20815, USA [4] Department of Pediatric Hematology/Oncology, Children's Hospital, 300 Longwood Avenue, Boston, Massachusetts 02115, USA.
Howard Hughes Medical Institute · USUniversity of Colorado Boulder · USHarvard University Press · USBroad Institute · USUniversity of Colorado Denver · US

Funding

The Cell-Of-Origin of Human CancersU54CA143798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHOR, FRANZISKA · 2009 to 2014
$11.2M
The population genetics of antibiotic resistance in multi-drug environmentsR01GM081617 · NIGMS · TECHNION-ISRAEL INSTITUTE OF TECHNOLOGY · PI KISHONY, ROY · 2007 to 2018
$3.7M
Cell Cycle Control of the CytoskeletonR37GM061345 · NIGMS · DANA-FARBER CANCER INST · PI PELLMAN, DAVID S · 2014 to 2023
$3.4M
Howard Hughes Medical InstituteNCI NIH HHS U54 CA143798NCI NIH HHS U54CA143798NIGMS NIH HHS R01 GM081617NIGMS NIH HHS R37 GM061345NIGMS NIH HHS R37 GM61345
6 · The paper itself

Abstract

Polyploidy is observed across the tree of life, yet its influence on evolution remains incompletely understood. Polyploidy, usually whole-genome duplication, is proposed to alter the rate of evolutionary adaptation. This could occur through complex effects on the frequency or fitness of beneficial mutations. For example, in diverse cell types and organisms, immediately after a whole-genome duplication, newly formed polyploids missegregate chromosomes and undergo genetic instability. The instability following whole-genome duplications is thought to provide adaptive mutations in microorganisms and can promote tumorigenesis in mammalian cells. Polyploidy may also affect adaptation independently of beneficial mutations through ploidy-specific changes in cell physiology. Here we perform in vitro evolution experiments to test directly whether polyploidy can accelerate evolutionary adaptation. Compared with haploids and diploids, tetraploids undergo significantly faster adaptation. Mathematical modelling suggests that rapid adaptation of tetraploids is driven by higher rates of beneficial mutations with stronger fitness effects, which is supported by whole-genome sequencing and phenotypic analyses of evolved clones. Chromosome aneuploidy, concerted chromosome loss, and point mutations all provide large fitness gains. We identify several mutations whose beneficial effects are manifest specifically in the tetraploid strains. Together, these results provide direct quantitative evidence that in some environments polyploidy can accelerate evolutionary adaptation.

Indexed as

Biological EvolutionPolyploidyAdaptation, PhysiologicalAneuploidyChromosomes, FungalClone CellsDiploidyGenetic FitnessHaploidyMutation RatePoint MutationSaccharomyces cerevisiaeTime Factors

Identifiers

PMID25731168
PMCPMC4497379
OpenAlexW2026412193

What OpenQuestion holds

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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.