Evidence map›Paper›PMID 29474395›Full record

ArticlePLoS genetics2018

Genome-wide association across Saccharomyces cerevisiae strains reveals substantial variation in underlying gene requirements for toxin tolerance.

Maria Sardi, Vaishnavi Paithane, Michael Place, De Elegant Robinson, James Hose, Dana J Wohlbach, Audrey P Gasch

Abstract read
In one paragraph

Article in PLoS genetics, 2018. 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

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

36 citing papers in PubMed.

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  10. Applied and environmental microbiology · 2024
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  17. Extensive simulations assess the performance of genome-wide association mapping in variousPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
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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

7 authors.

Maria SardiGreat Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-9827-1532
Vaishnavi PaithaneGreat Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-7115-7684
Michael PlaceGreat Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0003-2776-7095
De Elegant RobinsonMicrobiology Training Program, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
James HoseLaboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Dana J WohlbachGreat Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Audrey P GaschGreat Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-8182-257X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellulosic plant biomass is a promising sustainable resource for generating alternative biofuels and biochemicals with microbial factories. But a remaining bottleneck is engineering microbes that are tolerant of toxins generated during biomass processing, because mechanisms of toxin defense are only beginning to emerge. Here, we exploited natural diversity in 165 Saccharomyces cerevisiae strains isolated from diverse geographical and ecological niches, to identify mechanisms of hydrolysate-toxin tolerance. We performed genome-wide association (GWA) analysis to identify genetic variants underlying toxin tolerance, and gene knockouts and allele-swap experiments to validate the involvement of implicated genes. In the process of this work, we uncovered a surprising difference in genetic architecture depending on strain background: in all but one case, knockout of implicated genes had a significant effect on toxin tolerance in one strain, but no significant effect in another strain. In fact, whether or not the gene was involved in tolerance in each strain background had a bigger contribution to strain-specific variation than allelic differences. Our results suggest a major difference in the underlying network of causal genes in different strains, suggesting that mechanisms of hydrolysate tolerance are very dependent on the genetic background. These results could have significant implications for interpreting GWA results and raise important considerations for engineering strategies for industrial strain improvement.

Indexed as

Genetic VariationBiomassDrug ToleranceFermentationGene-Environment InteractionGene Knockout TechniquesGenome, FungalGenome-Wide Association StudyHydrolysisLigninOrganisms, Genetically ModifiedPhenotypePhylogenySaccharomyces cerevisiaeToxins, BiologicalLigninlignocelluloseToxins, Biological

Identifiers

PMID29474395
PMCPMC5849340

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Registered trials

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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.