4.4 Article

Monitoring novel metabolic pathways using metabolomics and machine learning:: induction of the phosphoketolase pathway in Aspergillus nidulans cultivations

Journal

METABOLOMICS
Volume 3, Issue 4, Pages 503-516

Publisher

SPRINGER
DOI: 10.1007/s11306-007-0061-7

Keywords

Aspergillus nidulans; phosphoketolase; metabolite profile; self organizing maps (SOM)

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The physiological phenotype of Aspergillus nidulans was determined under di. erent environmental conditions through the quanti. cation 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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