Evidence map›Paper›PMID 41680911›Full record

ArticleBiotechnology for biofuels and bioproducts2026

QTL mapping, breeding, and debugging Saccharomyces cerevisiae strains through Reiterated Mass Selection and backcrosSing (ReMaSSing).

Lucas Souza de Bem, Joneclei Alves Barreto, Diego Trindade de Souza, Dione Oliveira Jordan, Sara Franchin Duarte de Souza, Danieli Canaver Marin, Josiel José Da Silva, Michel Brienzo, Leandro Vieira Dos Santos, Sarita Cândida Rabelo and 3 more

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Article in Biotechnology for biofuels and bioproducts, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Lucas Souza de BemInstitute for Research in Bioenergy, São Paulo State University, Rio Claro, 13500-230, Brazil.
Joneclei Alves BarretoInstitute for Research in Bioenergy, São Paulo State University, Rio Claro, 13500-230, Brazil.
Diego Trindade de SouzaDepartment of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, Brazil.
Dione Oliveira JordanBiological Sciences Department, University of Sao Paulo, São Paulo, Brazil.
Sara Franchin Duarte de SouzaInstitute for Research in Bioenergy, São Paulo State University, Rio Claro, 13500-230, Brazil.
Danieli Canaver MarinInstitute for Research in Bioenergy, São Paulo State University, Rio Claro, 13500-230, Brazil.
Josiel José Da SilvaInstitute for Research in Bioenergy, São Paulo State University, Rio Claro, 13500-230, Brazil.
Michel BrienzoInstitute for Research in Bioenergy, São Paulo State University, Rio Claro, 13500-230, Brazil.
Leandro Vieira Dos SantosPost-Graduation Program in Genetics and Molecular Biology, University of Campinas, Campinas, Brazil.
Sarita Cândida RabeloDepartment of Bioprocess and Biotechnology, School of Agricultural Sciences, São Paulo State University (Unesp), Botucatu, Brazil.
Gabriel Alves MargaridoGenetics Department, "Luiz de Queiroz" College of Agriculture, University of Sao Paulo, Piracicaba, Brazil.
Jeferson GrossInstitute for Research in Bioenergy, São Paulo State University, Rio Claro, 13500-230, Brazil. jeferson.gross@unesp.br.ORCID http://orcid.org/0000-0002-4537-2946
Ana Paula JacobusInstitute for Research in Bioenergy, São Paulo State University, Rio Claro, 13500-230, Brazil. ana.jacobus@unesp.br.ORCID http://orcid.org/0000-0002-9092-931X

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 404603/2023-8Fundação de Amparo à Pesquisa do Estado de São Paulo 17/13972-1Fundação de Amparo à Pesquisa do Estado de São Paulo 17/24453-5Fundação de Amparo à Pesquisa do Estado de São Paulo 19/22263-0
6 · The paper itself

Abstract

backgroundProducing second-generation ethanol from lignocellulosic hydrolysates (LCHs) poses significant challenges for Saccharomyces cerevisiae due to the presence of fermentation inhibitors. Quantitative trait loci (QTL) mapping of stress-tolerant S. cerevisiae strains is important for identifying adaptive alleles that can enhance yeast fermentation of LCHs. However, the QTL mapping process is labor-intensive, requiring the screening of numerous recombinants and repeated crossings to improve mapping resolution.

resultsWe developed Reiterated Mass Selection and backcrosSing (ReMaSSing) to facilitate the identification of adaptive alleles through QTL mapping and to enhance LCH tolerance in yeast strains. ReMaSSing was applied to populations obtained by crossing the stress-resistant yeast PE-2_H4 with the laboratory strain S288C. Using alternative protocols, we selected haploid or diploid populations with dominant markers, enriching millions of segregants carrying adaptive alleles by propagating them in standard or LCH-supplemented media. The enriched pools were then bulk backcrossed with S288C, and germination of millions of spores generated new recombinant populations for subsequent selection cycles. After five rounds of ReMaSSing, whole-genome sequencing and QTL mapping identified key alleles associated with LCH tolerance, linked to VPS70, CAT5, GCY1, UBP2, MKT1/SAL1, HAP1, and PHO84, which influence growth and mitochondrial function in S288C. Mutations in IRA1 and HTA1, unique to our S288C strain, were also mapped, highlighting ReMaSSing's ability to "debug" the S288C background, i.e., to purge detrimental variants through selection. Allele swapping and competition assays confirmed that the identified QTL improved LCH tolerance and growth, with strains combining adaptive alleles performing over 20% better than the parental S288C. Finally, applying ReMaSSing to breed an LCH-tolerant yeast with a xylose-consuming strain produced recombinants with improved fermentation of xylose-enriched LCH.

conclusionsReMaSSing offers a practical protocol for generating QTL mapping populations to identify adaptive alleles in tolerant strains and correct genetic defects in inferior ones. Notably, recombinant populations and clones derived from ReMaSSing outperformed both parental strains in LCH tolerance and growth. Furthermore, we applied ReMaSSing to breed strains with enhanced LCH tolerance, efficient xylose catabolism, and robust ethanol production. Together, these results demonstrate that ReMaSSing is a powerful tool for engineering industrial yeast strains that integrate desirable traits from multiple parental backgrounds.

Indexed as

Allele swappingEasyGuide CRISPRGenetic bugsLignocellulosic hydrolysateMass backcrossingMass selectionQTL mappingSaccharomyces cerevisiaeSecond-generation ethanol

Identifiers

PMID41680911
PMCPMC12997974

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LicenceCC BY-NC-ND
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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.