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Engineering microorganisms based on molecular evolutionary analysis: a succinate production case study.

Xianghui Ma1, Xinbo Zhang2, Baiyun Wang1

  • 1Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University Tianjin, China ; Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University Tianjin, China ; Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) Tianjin, China.

Evolutionary Applications
|December 4, 2014
PubMed
Summary
This summary is machine-generated.

Molecular evolutionary analysis helps select genes for metabolic engineering by revealing how enzymes are regulated. This method guides the choice of genes to optimize metabolic pathways for synthetic biology applications.

Keywords:
metabolic engineeringmolecular evolutionsuccinatesynonymous substitutionsynthetic biology

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Evolutionary Biology

Background:

  • Metabolic enzymes with identical functions are regulated differently across species, complicating gene selection for metabolic engineering.
  • Identifying optimal genes for manipulating metabolic pathways is challenging due to diverse regulatory mechanisms.

Purpose of the Study:

  • To evaluate molecular evolutionary analysis for identifying suitable genes from different species for metabolic engineering.
  • To understand how selective constraints on synonymous sites influence enzyme regulation and metabolic flux.

Main Methods:

  • Calculated the fraction of synonymous substitution and effective number of codons (ENC) for nine glycolytic genes.
  • Investigated molecular evolutionary analysis for genes involved in succinate precursor supply via pyruvate catalysis.
  • Overexpressed specific genes (Corynebacterium glutamicum pyc) in Escherichia coli strains to validate findings.

Main Results:

  • Enzyme genes under stronger synonymous site selective constraint primarily regulate flux by altering protein concentration.
  • Genes with relaxed selective constraints mainly affect flux by modifying enzyme kinetic properties.
  • Succinate yields in engineered E. coli strains supported the predictions from molecular evolutionary analysis.

Conclusions:

  • Molecular evolutionary analysis provides insights into enzyme regulatory strategies based on selective constraints.
  • This approach offers a valuable method for selecting heterologous genes in metabolic engineering and synthetic biology.
  • The study demonstrates a strategy for optimizing gene selection to enhance metabolic pathway efficiency.