Astrid Müller , Jiali Meng , Robin Kuijpers , Miia R. Mäkelä , Ronald P. de Vries
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引用次数: 0
Abstract
Production of xylitol from agricultural by-products offers a promising approach for the circular bioeconomy. This study investigates the roles of transcription factors XlnR and CreA in xylitol production from wheat bran in Aspergillus niger by generating strains with a constitutively active XlnR (XlnRc, V756F mutation) and/or deletion of creA, in a previously generated xylitol-producing strain. The XlnRc mutation increased the initial rate of xylitol production but lowered the overall accumulation. Deletion of creA in this strain significantly improved both the onset and rate of xylitol production, indicating an inhibitory role of CreA in the PCP. These results demonstrate the complexity of metabolic engineering to generate fungal cell factories for valuable biochemicals, such as xylitol, as not only metabolic but also multiple gene regulation aspects need to be considered.
期刊介绍:
Enzyme and Microbial Technology is an international, peer-reviewed journal publishing original research and reviews, of biotechnological significance and novelty, on basic and applied aspects of the science and technology of processes involving the use of enzymes, micro-organisms, animal cells and plant cells.
We especially encourage submissions on:
Biocatalysis and the use of Directed Evolution in Synthetic Biology and Biotechnology
Biotechnological Production of New Bioactive Molecules, Biomaterials, Biopharmaceuticals, and Biofuels
New Imaging Techniques and Biosensors, especially as applicable to Healthcare and Systems Biology
New Biotechnological Approaches in Genomics, Proteomics and Metabolomics
Metabolic Engineering, Biomolecular Engineering and Nanobiotechnology
Manuscripts which report isolation, purification, immobilization or utilization of organisms or enzymes which are already well-described in the literature are not suitable for publication in EMT, unless their primary purpose is to report significant new findings or approaches which are of broad biotechnological importance. Similarly, manuscripts which report optimization studies on well-established processes are inappropriate. EMT does not accept papers dealing with mathematical modeling unless they report significant, new experimental data.