Literature DB >> 23576362

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

Luis Caspeta1, Jens Nielsen.   

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.
Copyright © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2013        PMID: 23576362     DOI: 10.1002/biot.201200345

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  4 in total

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3.  Integration and Validation of the Genome-Scale Metabolic Models of Pichia pastoris: A Comprehensive Update of Protein Glycosylation Pathways, Lipid and Energy Metabolism.

Authors:  Màrius Tomàs-Gamisans; Pau Ferrer; Joan Albiol
Journal:  PLoS One       Date:  2016-01-26       Impact factor: 3.240

4.  A set of isogenic auxotrophic strains for constructing multiple gene deletion mutants and parasexual crossings in Aspergillus niger.

Authors:  Jing Niu; Mark Arentshorst; Felix Seelinger; Arthur F J Ram; Jean Paul Ouedraogo
Journal:  Arch Microbiol       Date:  2016-06-01       Impact factor: 2.552

  4 in total

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