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Related Concept Videos

Bioreactor Controls-III01:22

Bioreactor Controls-III

Strain improvement is a foundational strategy in industrial microbiology aimed at maximizing microbial productivity, particularly because natural isolates typically yield commercially valuable products in very low concentrations. Although optimizing the culture medium and environmental conditions can improve yields, these adjustments are inherently limited by the organism’s genetic potential. As a result, the focus shifts toward genetic modifications to enhance biosynthetic capacity. The...
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Other Glycolytic Pathways

The pentose phosphate pathway (PPP) operates in parallel with glycolysis, facilitating the metabolism of both pentoses and glucose. This pathway consists of two distinct phases: the oxidative and non-oxidative phases. While it does not directly generate ATP, the intermediates formed during the process can integrate into glycolysis, contributing to cellular energy metabolism when required.Oxidative Phase: NADPH ProductionThe oxidative phase of the pentose phosphate pathway is primarily...

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Related Experiment Video

Updated: May 8, 2026

Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria
05:44

Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria

Published on: December 27, 2024

Novel approach to engineer strains for simultaneous sugar utilization.

Pratish Gawand1, Patrick Hyland, Andrew Ekins

  • 1Department of Chemical Engineering and Applied Chemistry, University of Toronto, 200 College Street, Toronto, ON, Canada M5S 3E5.

Metabolic Engineering
|August 31, 2013
PubMed
Summary

This study introduces SIMUP, a novel algorithm for metabolic engineering that enables microorganisms to efficiently use both glucose and xylose sugars, crucial for advanced biofuels production.

Keywords:
Bilevel optimizationCCRCarbon catabolite repressionE4PErythrose-4-phosphateEscherichia coliF6PFructose-6-phosphateG6PGA3PGlucose-6-phosphateGlucose–xylose co-utilizationGlyceraldehydes-3-phosphateMetabolic modelingPEPPPPPTSPYRPentose phosphate pathwayPhosphoenolpyruvatePhosphotransferase systemPyruvateR5PRibose-5-phosphateStrain designX5PXylulose-5-phosphate

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Published on: October 24, 2016

Genetic Engineering of an Unconventional Yeast for Renewable Biofuel and Biochemical Production
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Genetic Engineering of an Unconventional Yeast for Renewable Biofuel and Biochemical Production

Published on: September 20, 2016

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Last Updated: May 8, 2026

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Assembly and Quantification of Co-Cultures Combining Heterotrophic Yeast with Phototrophic Sugar-Secreting Cyanobacteria

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Genetic Engineering of an Unconventional Yeast for Renewable Biofuel and Biochemical Production
10:10

Genetic Engineering of an Unconventional Yeast for Renewable Biofuel and Biochemical Production

Published on: September 20, 2016

Area of Science:

  • Biotechnology
  • Metabolic Engineering
  • Synthetic Biology

Background:

  • Lignocellulosic biomass is a key second-generation feedstock for biofuels.
  • Industrial microorganisms often struggle to co-utilize glucose and xylose due to carbon catabolite repression (CCR).
  • Efficient co-utilization of sugars simplifies biofuel fermentation processes.

Purpose of the Study:

  • To develop a novel algorithm for identifying metabolic engineering strategies to overcome carbon catabolite repression (CCR).
  • To enable industrial microorganisms to co-utilize glucose and xylose without directly targeting CCR regulatory pathways.
  • To investigate alternative mechanisms for sugar co-utilization in engineered microorganisms.

Main Methods:

  • Development of the SIMUP algorithm for predicting metabolic engineering strategies.
  • Application of SIMUP to engineer Escherichia coli for dual sugar utilization.
  • Phenotypic analysis and sequencing of engineered strains to validate predicted strategies.

Main Results:

  • SIMUP-engineered Escherichia coli mutants demonstrated predicted growth phenotypes and co-utilized glucose and xylose.
  • Engineered strains exhibited slower sugar consumption rates compared to wild-type.
  • Identified metabolic engineering solutions involved stoichiometric imbalances and novel insights into CCR mechanisms.

Conclusions:

  • The SIMUP algorithm provides a new approach for engineering sugar co-utilization in microorganisms.
  • Metabolic engineering strategies can overcome CCR without directly targeting regulatory pathways.
  • Further research is needed to optimize sugar utilization rates and elucidate novel co-utilization mechanisms.