Monitoring novel metabolic pathways using metabolomics and machine learning: induction of the phosphoketolase pathway in Aspergillus nidulans cultivations |
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Authors: | G. Panagiotou I. Kouskoumvekaki S.O. Jónsdóttir L. Olsson |
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Affiliation: | (1) Center for Microbial Biotechnology, Biocentrum-DTU, Technical University of Denmark, Building 223, DK-2800 Kgs. Lyngby, Denmark;(2) Center for Biological Sequence Analysis, BioCentrum-DTU, Technical University of Denmark, Building 208, DK-2800 Kgs. Lyngby, Denmark |
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Abstract: | The physiological phenotype of Aspergillus nidulans was determined under different environmental conditions through the quantification of the intracellular and extracellular metabolite pools and clear evidence of the presence of a novel fungal metabolic pathway, the phosphoketolase pathway, was obtained. Induction of the phosphoketolase pathway resulted after blocking the EMP pathway through the deactivation of glyceraldehyde-3-P dehydrogenase (G3PD). Deactivation of G3PD in cultivations of A. nidulans on glucose and xylose led to a 10-fold decrease in the specific growth rate; however, growth could still be sustained solely through the phosphoketolase pathway. Metabolomics and machine learning tools were successfully used to monitor the alteration caused by the inhibition of G3PD in the metabolism of A. nidulans grown on glucose, xylose, acetate as well as mixtures of glucose or xylose with acetate. This is the first study that demonstrates in vivo that the fungal central carbon metabolism includes an active phosphoketolase pathway. |
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Keywords: | Aspergillus nidulans phosphoketolase metabolite profile Self Organizing Maps (SOM) |
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