Linking genetic, metabolic, and phenotypic diversity among Saccharomyces cerevisiae strains using multi-omics associations | Zendy

Kang Kang | Zendy; Basti Bergdahl | Zendy; Daniel Machado | Zendy; Laura Dato | Zendy; Ting­-Li Han | Zendy; Jun Li | Zendy; Silas G. VillasBôas | Zendy; Markus J. Herrgård | Zendy; Jochen Förster | Zendy; Gianni Panagiotou | Zendy

Open Access

Linking genetic, metabolic, and phenotypic diversity among Saccharomyces cerevisiae strains using multi-omics associations

Author(s) -

Kang Kang,

Basti Bergdahl,

Daniel Machado,

Laura Dato,

Ting-Li Han,

Jun Li,

Silas G. VillasBôas,

Markus J. Herrgård,

Jochen Förster,

Gianni Panagiotou

Publication year - 2019

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giz015

Subject(s) - saccharomyces cerevisiae , biology , metabolic engineering , genetics , metabolome , computational biology , gene , strain (injury) , microbiology and biotechnology , genomics , genome , phenotype , metabolomics , bioinformatics , anatomy

The selection of bioengineering platform strains and engineering strategies to improve the stress resistance of Saccharomyces cerevisiae remains a pressing need in bio-based chemical production. Thus, a systematic effort to exploit genotypic and phenotypic diversity to boost yeast's industrial value is still urgently needed.

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