QTL mapping, breeding, and debugging Saccharomyces cerevisiae strains through Reiterated Mass Selection and backcrosSing (ReMaSSing)
ReMaSSing 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.
Authors
- Josiel José da Silva (ORCID: https://orcid.org/0000-0003-0561-2834)
- Lucas Souza de (ORCID: https://orcid.org/0000-0003-4468-7441)
- Joneclei Alves Barreto (ORCID: https://orcid.org/0000-0001-9217-059X)
- Ana Paula Jacobus (ORCID: https://orcid.org/0000-0002-9092-931X)
- Sara Franchin Duarte de Souza (ORCID: https://orcid.org/0000-0003-1369-2432)
- Sarita Cândida Rabelo (ORCID: https://orcid.org/0000-0002-3153-7674)
- Leandro Vieira dos Santos (ORCID: https://orcid.org/0000-0003-2095-4429)
- Michel Brienzo (ORCID: https://orcid.org/0000-0002-3096-8843)
- Jeferson Gross (ORCID: https://orcid.org/0000-0002-4537-2946)
- Danieli Canaver Marin
- Dione O. Jordan (ORCID: https://orcid.org/0000-0001-8363-8250)
- Diego Trindade de Souza
- Gabriel Alves Margarido
Institutions
- Universidade de São Paulo (BR)
- Universidade Estadual de Campinas (UNICAMP) (BR)
- University of Manchester (GB)
- Microsoft (Brazil) (BR)
- Fundação de Estudos Agrários Luiz de Queiroz (BR)
- Institute of Biomedical Science (GB)
- Universidade Estadual Paulista (Unesp) (BR)
Publication Details
- Journal
- Biotechnology for Biofuels and Bioproducts
- Published
- 2026-02-12
- DOI
- https://doi.org/10.1186/s13068-026-02748-4
- Primary Topic
- Fungal and yeast genetics research
- Type
- article
- Field-Weighted Citation Impact
- 0.00