Evidence map›Paper›PMID 33734361›Full record

ArticleGenetics2021

Genetic variation in aneuploidy prevalence and tolerance across Saccharomyces cerevisiae lineages.

Eduardo F C Scopel, James Hose, Douda Bensasson, Audrey P Gasch

Abstract read
In one paragraph

Article in Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

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  9. Biocontainment efficacy redefined.Applied and environmental microbiology · 2025
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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

4 authors.

Eduardo F C ScopelInstitute of Bioinformatics and Department of Plant Biology, University of Georgia, Athens, GA 30602, USA.
James HoseLaboratory of Genetics and Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI 53706, USA.
Douda BensassonInstitute of Bioinformatics and Department of Plant Biology, University of Georgia, Athens, GA 30602, USA.
Audrey P GaschLaboratory of Genetics and Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI 53706, USA.

Funding

Molecular approaches to sensitizing eukaryotic cells to aneuploidyR01CA229532 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI GASCH, AUDREY · 2018 to 2022
$1.8M
NCI NIH HHS R01 CA229532
6 · The paper itself

Abstract

Individuals carrying an aberrant number of chromosomes can vary widely in their expression of aneuploidy phenotypes. A major unanswered question is the degree to which an individual's genetic makeup influences its tolerance of karyotypic imbalance. Here we investigated within-species variation in aneuploidy prevalence and tolerance, using Saccharomyces cerevisiae as a model for eukaryotic biology. We analyzed genotypic and phenotypic variation recently published for over 1,000 S. cerevisiae strains spanning dozens of genetically defined clades and ecological associations. Our results show that the prevalence of chromosome gain and loss varies by clade and can be better explained by differences in genetic background than ecology. The relationships between lineages with high aneuploidy frequencies suggest that increased aneuploidy prevalence emerged multiple times in S. cerevisiae evolution. Separate from aneuploidy prevalence, analyzing growth phenotypes revealed that some genetic backgrounds-such as the European Wine lineage-show fitness costs in aneuploids compared to euploids, whereas other clades with high aneuploidy frequencies show little evidence of major deleterious effects. Our analysis confirms that chromosome gain can produce phenotypic benefits, which could influence evolutionary trajectories. These results have important implications for understanding genetic variation in aneuploidy prevalence in health, disease, and evolution.

Indexed as

AneuploidyGenetic FitnessGenetic VariationEvolution, MolecularGenetic BackgroundSaccharomyces cerevisiaechromosome duplicationchromosome lossevolutionwhole chromosome aneuploidyyeast population genetics

Identifiers

PMID33734361
PMCPMC8049548

What OpenQuestion holds

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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.