title: The Cell Factory Aspergillus Enters the Big Data Era: Opportunities and Challenges for Optimising Product Formation.
abstract: Living with limits. Getting more from less. Producing commodities and high-value products from renewable resources including waste. What is the driving force and quintessence of bioeconomy outlines the lifestyle and product portfolio of Aspergillus, a saprophytic genus, to which some of the top-performing microbial cell factories belong: Aspergillus niger, Aspergillus oryzae and Aspergillus terreus. What makes them so interesting for exploitation in biotechnology and how can they help us to address key challenges of the twenty-first century? How can these strains become trimmed for better growth on second-generation feedstocks and how can we enlarge their product portfolio by genetic and metabolic engineering to get more from less? On the other hand, what makes it so challenging to deduce biological meaning from the wealth of Aspergillus -omics data? And which hurdles hinder us to model and engineer industrial strains for higher productivity and better rheological performance under industrial cultivation conditions? In this review, we will address these issues by highlighting most recent findings from the Aspergillus research with a focus on fungal growth, physiology, morphology and product formation. Indeed, the last years brought us many surprising insights into model and industrial strains. They clearly told us that similar is not the same: there are different ways to make a hypha, there are more protein secretion routes than anticipated and there are different molecular and physical mechanisms which control polar growth and the development of hyphal networks. We will discuss new conceptual frameworks derived from these insights and the future scientific advances necessary to create value from Aspergillus Big Data.
authors.affiliation: Department Applied and Molecular Microbiology, Institute of Biotechnology, Berlin University of Technology, Gustav-Meyer-Allee 25, 13355, Berlin, Germany, vera.meyer@tu-berlin.de.
authors.forename: Vera
authors.initials: V
authors.lastname: Meyer
authors.forename: Markus
authors.initials: M
authors.lastname: Fiedler
authors.forename: Benjamin
authors.initials: B
authors.lastname: Nitsche
authors.forename: Rudibert
authors.initials: R
authors.lastname: King
mesh_terms: D001230:Aspergillus / Q000235:genetics / Q000378:metabolism / Q000502:physiology*; D019343:Citric Acid / Q000737:chemistry; D019295:Computational Biology / Q000379:methods; D030541:Databases, Genetic; D005656:Fungal Proteins / Q000378:metabolism; D016681:Genome, Fungal; D023281:Genomics; D007218:Industrial Microbiology / Q000379:methods*; D008962:Models, Theoretical
chemical_list: D005656:Fungal Proteins; D019343:Citric Acid