Evidence map›Paper›PMID 39461918›Full record

ArticleMolecular genetics and genomics : MGG2024

Unveiling genetic anchors in saccharomyces cerevisiae: QTL mapping identifies IRA2 as a key player in ethanol tolerance and beyond.

Larissa Escalfi Tristão, Lara Isensee Saboya de Sousa, Beatriz de Oliveira Vargas, Juliana José, Marcelo Falsarella Carazzolle, Eduardo Menoti Silva, Juliana Pimentel Galhardo, Gonçalo Amarante Guimarães Pereira, Fellipe da Silveira Bezerra de Mello

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In one paragraph

Article in Molecular genetics and genomics : MGG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Larissa Escalfi Tristão *Departamento de Genética, Evolução, Microbiologia e Imunologia, Unicamp, Campinas, SP, Brazil.
Lara Isensee Saboya de Sousa *Departamento de Genética, Evolução, Microbiologia e Imunologia, Unicamp, Campinas, SP, Brazil.
Beatriz de Oliveira Vargas *Departamento de Genética, Evolução, Microbiologia e Imunologia, Unicamp, Campinas, SP, Brazil.
Juliana JoséDepartamento de Genética, Evolução, Microbiologia e Imunologia, Unicamp, Campinas, SP, Brazil.
Marcelo Falsarella CarazzolleDepartamento de Genética, Evolução, Microbiologia e Imunologia, Unicamp, Campinas, SP, Brazil.
Eduardo Menoti SilvaDepartamento de Genética, Evolução, Microbiologia e Imunologia, Unicamp, Campinas, SP, Brazil.
Juliana Pimentel GalhardoDepartamento de Genética, Evolução, Microbiologia e Imunologia, Unicamp, Campinas, SP, Brazil.
Gonçalo Amarante Guimarães PereiraDepartamento de Genética, Evolução, Microbiologia e Imunologia, Unicamp, Campinas, SP, Brazil. goncalo@unicamp.br.ORCID http://orcid.org/0000-0003-4140-3482
Fellipe da Silveira Bezerra de MelloDepartamento de Genética, Evolução, Microbiologia e Imunologia, Unicamp, Campinas, SP, Brazil.

Funding

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.479699/2020-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/07061-4Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/13111-4
6 · The paper itself

Abstract

Ethanol stress in Saccharomyces cerevisiae is a well-studied phenomenon, but pinpointing specific genes or polymorphisms governing ethanol tolerance remains a subject of ongoing debate. Naturally found in sugar-rich environments, this yeast has evolved to withstand high ethanol concentrations, primarily produced during fermentation in the presence of suitable oxygen or sugar levels. Originally a defense mechanism against competing microorganisms, yeast-produced ethanol is now a cornerstone of brewing and bioethanol industries, where customized yeasts require high ethanol resistance for economic viability. However, yeast strains exhibit varying degrees of ethanol tolerance, ranging from 8 to 20%, making the genetic architecture of this trait complex and challenging to decipher. In this study, we introduce a novel QTL mapping pipeline to investigate the genetic markers underlying ethanol tolerance in an industrial bioethanol S. cerevisiae strain. By calculating missense mutation frequency in an allele located in a prominent QTL region within a population of 1011 S. cerevisiae strains, we uncovered rare occurrences in gene IRA2. Following molecular validation, we confirmed the significant contribution of this gene to ethanol tolerance, particularly in concentrations exceeding 12% of ethanol. IRA2 pivotal role in stress tolerance due to its participation in the Ras-cAMP pathway was further supported by its involvement in other tolerance responses, including thermotolerance, low pH tolerance, and resistance to acetic acid. Understanding the genetic basis of ethanol stress in S. cerevisiae holds promise for developing robust yeast strains tailored for industrial applications.

Indexed as

Chromosome MappingEthanolQuantitative Trait LociSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsFermentationGTPase-Activating ProteinsMutation, MissenseEthanolGTPase-Activating ProteinsIRA2 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsEthanol toleranceIRA2QTL mapping

Identifiers

PMID39461918

What OpenQuestion holds

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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.