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2024 (English)In: Molecular Systems Biology, E-ISSN 1744-4292, Vol. 20, no 10, p. 1109-Article in journal (Refereed) Published
Abstract [en]
Adaptive Laboratory Evolution (ALE) of microorganisms can improve the efficiency of sustainable industrial processes important to the global economy. However, stochasticity and genetic background effects often lead to suboptimal outcomes during laboratory evolution. Here we report an ALE platform to circumvent these shortcomings through parallelized clonal evolution at an unprecedented scale. Using this platform, we evolved 104 yeast populations in parallel from many strains for eight desired wine fermentation-related traits. Expansions of both ALE replicates and lineage numbers broadened the evolutionary search spectrum leading to improved wine yeasts unencumbered by unwanted side effects. At the genomic level, evolutionary gains in metabolic characteristics often coincided with distinct chromosome amplifications and the emergence of side-effect syndromes that were characteristic of each selection niche. Several high-performing ALE strains exhibited desired wine fermentation kinetics when tested in larger liquid cultures, supporting their suitability for application. More broadly, our high-throughput ALE platform opens opportunities for rapid optimization of microbes which otherwise could take many years to accomplish.
Place, publisher, year, edition, pages
Springer Nature, 2024
National Category
Biological Sciences
Identifiers
urn:nbn:se:ri:diva-75038 (URN)10.1038/s44320-024-00059-0 (DOI)2-s2.0-85201823222 (Scopus ID)
Note
This work was sponsored by the ERASysAPP project WINESYS (the GermanMinistry of Education and Research grant no. 031A605; the Research Council ofNorway (Norges Forskningsråd) grant no. 245160, the Swedish Research Councilgrant no. 325-2014-6547) and by the Ministry of Science, Innovation andUniversities, Spain (España, Ministerio de Ciencia e Innovaciòn (MCIN)) (ProjectCoolWine, PCI2018-092962), under the call ERANET ERA COBIOTECH. PJacknowledges funding from the Academy of Finland, decision numbers 310514,314125, and 329930. KRP received funding from the European Research Council(ERC) under the European Union’s Horizon 2020 research and innovationprogramme (Grant Agreement No. 866028). We acknowledge the support of he Genomics core facilities at the European Molecular Biology Laboratory(Heidelberg, Germany)
2024-09-062024-09-062025-09-23Bibliographically approved