Evidence map›Paper›PMID 39317188›Full record

ArticleCell genomics2024

Comparative modeling reveals the molecular determinants of aneuploidy fitness cost in a wild yeast model.

Julie Rojas, James Hose, H Auguste Dutcher, Michael Place, John F Wolters, Chris Todd Hittinger, Audrey P Gasch

Abstract readComparative Study
In one paragraph

Article in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  9. Discovery of additional ancient genome duplications in yeasts.bioRxiv : the preprint server for biology · 2025
    Article
  10. The adaptive state determines the impact of mutations on evolving populations.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Julie RojasCenter for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI 53706, USA.
James HoseCenter for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI 53706, USA.
H Auguste DutcherCenter for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI 53706, USA.
Michael PlaceCenter for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI 53706, USA; Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA.
John F WoltersLaboratory of Genetics, University of Wisconsin-Madison, Madison, WI 53706, USA.
Chris Todd HittingerCenter for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI 53706, USA; Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA; Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI 53706, USA; J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA.
Audrey P GaschCenter for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI 53706, USA; Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA; Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI 53706, USA; J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA. Electronic address: agasch@wisc.edu.

Funding

Institutional Training in the Genomic SciencesT32HG002760 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI Qiongshi Lu · 2003 to 2026
$17.7M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007133 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI PERNA, NICOLE T · 1985 to 2023
$16.5M
Dissecting the influence of genetic background on aneuploidy tolerance in the model eukaryote Saccharomyces cerevisiaeR01GM147271 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GASCH, AUDREY · 2022 to 2025
$1.2M
Understanding how aneuploidy disrupts quiescence in the model eukaryote Saccharomyces cerevisiaeR01GM148975 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Audrey Gasch · 2023 to 2026
$1.2M
NHGRI NIH HHS T32 HG002760NIGMS NIH HHS R01 GM147271NIGMS NIH HHS R01 GM148975NIGMS NIH HHS T32 GM007133
6 · The paper itself

Abstract

Although implicated as deleterious in many organisms, aneuploidy can underlie rapid phenotypic evolution. However, aneuploidy will be maintained only if the benefit outweighs the cost, which remains incompletely understood. To quantify this cost and the molecular determinants behind it, we generated a panel of chromosome duplications in Saccharomyces cerevisiae and applied comparative modeling and molecular validation to understand aneuploidy toxicity. We show that 74%-94% of the variance in aneuploid strains' growth rates is explained by the cumulative cost of genes on each chromosome, measured for single-gene duplications using a genomic library, along with the deleterious contribution of small nucleolar RNAs (snoRNAs) and beneficial effects of tRNAs. Machine learning to identify properties of detrimental gene duplicates provided no support for the balance hypothesis of aneuploidy toxicity and instead identified gene length as the best predictor of toxicity. Our results present a generalized framework for the cost of aneuploidy with implications for disease biology and evolution.

Indexed as

AneuploidySaccharomyces cerevisiaeChromosomes, FungalGene DuplicationGenetic FitnessMachine LearningModels, GeneticRNA, Small NucleolarRNA, TransferRNA, Small NucleolarRNA, Transferaneuploidybalance hypothesisCNVdosage-sensitive genesdriver genesgenic loadsnoRNAtRNA

Identifiers

PMID39317188
PMCPMC11602619

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.