Publications by authors named "Amy O Zheng"
Metabolic flux analysis (MFA) involves model-based estimation of metabolic reaction rates (i.e., fluxes) and, in some cases, metabolite content (i.
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- Recent studies show a significant increase in knowledge about the relationships between fungi and their bacterial associates, which previously focused on a limited number of taxa.
- This research screened over 700 diverse fungal isolates across 366 genera, revealing a wide range of bacterial associates, including from unexplored fungal groups.
- Findings suggest that bacterial associations are common in fungal cultures, highlighting the importance of considering these interactions in microbiome research.
Isotopically nonstationary metabolic flux analysis (INST-MFA) provides a versatile platform to quantitatively assess in vivo metabolic activities of autotrophic systems. By applying INST-MFA to recombinant aldehyde-producing cyanobacteria, we identified metabolic alterations that correlated with increased strain performance in order to guide rational metabolic engineering. We identified four reactions adjacent to the pyruvate node that varied significantly with increasing aldehyde production: pyruvate kinase (PK) and acetolactate synthase (ALS) fluxes were directly correlated with product formation, while pyruvate dehydrogenase (PDH) and phosphoenolpyruvate carboxylase (PPC) fluxes were inversely correlated.
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