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Highly parallelized laboratory evolution of wine yeasts for enhanced metabolic phenotypes.
Ghiaci, Payam; Jouhten, Paula; Martyushenko, Nikolay; Roca-Mesa, Helena; Vázquez, Jennifer; Konstantinidis, Dimitrios; Stenberg, Simon; Andrejev, Sergej; Grkovska, Kristina; Mas, Albert; Beltran, Gemma; Almaas, Eivind; Patil, Kiran R; Warringer, Jonas.
Afiliación
  • Ghiaci P; Department of Chemistry and Molecular Biology, University of Gothenburg, PO Box 462, Gothenburg, 40530, Sweden.
  • Jouhten P; Department of Biorefinery and Energy, High-throughput Centre, Research Institutes of Sweden, Örnsköldsvik, 89250, Sweden.
  • Martyushenko N; European Molecular Biology Laboratory, Heidelberg, 69117, Germany.
  • Roca-Mesa H; European Molecular Biology Laboratory, Heidelberg, 69117, Germany.
  • Vázquez J; VTT Technical Research Centre of Finland Ltd, Espoo, 02044 VTT, Finland.
  • Konstantinidis D; Aalto University, Department of Bioproducts and Biosystems, Espoo, 02150, Finland.
  • Stenberg S; Department of Biotechnology and Food Science, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.
  • Andrejev S; Universitat Rovira i Virgili, Dept. Bioquímica i Biotecnologia, Facultat d'Enologia, Tarragona, 43007, Spain.
  • Grkovska K; Universitat Rovira i Virgili, Dept. Bioquímica i Biotecnologia, Facultat d'Enologia, Tarragona, 43007, Spain.
  • Mas A; Centro Tecnológico del Vino-VITEC, Carretera de Porrera Km. 1, Falset, 43730, Spain.
  • Beltran G; European Molecular Biology Laboratory, Heidelberg, 69117, Germany.
  • Almaas E; Department of Chemistry and Molecular Biology, University of Gothenburg, PO Box 462, Gothenburg, 40530, Sweden.
  • Patil KR; European Molecular Biology Laboratory, Heidelberg, 69117, Germany.
  • Warringer J; European Molecular Biology Laboratory, Heidelberg, 69117, Germany.
Mol Syst Biol ; 2024 Aug 22.
Article en En | MEDLINE | ID: mdl-39174863
ABSTRACT
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Mol Syst Biol Asunto de la revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Suecia Pais de publicación: Alemania
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Mol Syst Biol Asunto de la revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Suecia Pais de publicación: Alemania