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Biosensor-guided evolution enhances itaconic acid production in E. coli

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Abstract

A novel evolutionary technique, designed to select E. coli strains capable of more efficiently metabolizing acetate—a sustainable, cost-effective carbon source—has been developed by a research team led by Professor Donghyuk Kim from the School of Energy and Chemical Engineering at UNIST, in collaboration with Professor Gyoo Yeol Jung from POSTECH and Dr. Myung Hyun Noh from the Korea Research Institute of Chemical Technology (KRICT).
Key Data

  • Publication Date
    23 June 2025
  • Primary Author
    JooHyeon Heo
  • Source
    PhysOrg
  • Language
    English
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