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Toward systems metabolic engineering of Aspergillus and Pichia species for the production of chemicals and biofuels

  • Luis Caspeta
  • , Jens Nielsen

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    Recently genome sequence data have become available for Aspergillus and Pichia species of industrial interest. This has stimulated the use of systems biology approaches for large-scale analysis of the molecular and metabolic responses of Aspergillus and Pichia under defined conditions, which has resulted in much new biological information. Case-specific contextualization of this information has been performed using comparative and functional genomic tools. Genomics data are also the basis for constructing genome-scale metabolic models, and these models have helped in the contextualization of knowledge on the fundamental biology of Aspergillus and Pichia species. Furthermore, with the availability of these models, the engineering of Aspergillus and Pichia is moving from traditional approaches, such as random mutagenesis, to a systems metabolic engineering approach. Here we review the recent trends in systems biology of Aspergillus and Pichia species, highlighting the relevance of these developments for systems metabolic engineering of these organisms for the production of hydrolytic enzymes, biofuels and chemicals from biomass. Metabolic engineering is moving from traditional methods such as random mutagenesis to a systems level which decreases the time and efforts on design and implementation. Here, the authors review the recent trends in systems biology of Aspergillus and Pichia species, highlighting the relevance of developments for systems metabolic engineering of these organisms for the production of hydrolytic enzymes, biofuels and chemicals from biomass. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
    Original languageEnglish
    JournalBiotechnology Journal
    Volume8
    Issue number5
    Pages (from-to)534-544
    ISSN1860-6768
    DOIs
    Publication statusPublished - 2013

    Keywords

    • Biofuels
    • Chemicals
    • Genes
    • Metabolic engineering
    • Metabolism
    • Models
    • Mutagenesis
    • Aspergillus

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