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김동혁

Kim, Donghyuk
Systems Biology and Machine Learning Lab.
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Biosensor-guided evolution boosts itaconic acid production, unveiling unique insights into the stringent response

Author(s)
Moon, Jo HyunWoo, JihoonPark, Joon YoungNoh, Myung HyunKim, DonghyukJung, Gyoo Yeol
Issued Date
2025-06
DOI
10.1016/j.biortech.2025.132326
URI
https://scholarworks.unist.ac.kr/handle/201301/86613
Citation
BIORESOURCE TECHNOLOGY, v.426, pp.132326
Abstract
Acetate is a cost-effective and sustainable carbon source that, despite its potential, remains underutilized. This study employed biosensor-assisted adaptive laboratory evolution (ALE) to enhance itaconic acid production and acetate metabolism in Escherichia coli. The evolved E. coli W strains exhibited 65% increase in itaconic acid production and 71% increase in growth rate, and 45% increase in itaconic acid yield. A common 31-kb genomic deletion was identified in the evolved strains, with two genes, ecw_m2276 and ecw_m2277, driving the observed phenotypic changes. The evolved strains exhibited an intensified stringent response, which enhanced the acetate- utilizing pathway and resulted in over a 5,000% increase in the expression of the glyoxylate shunt, thereby boosting microbial growth. Overexpression of relA further replicated these enhanced phenotypes. Our findings highlight not only significant physiological improvements but also present a novel strategy for enhancing microbial growth and bioproduction from acetate, offering valuable insights for industrial biotechnology applications.
Publisher
ELSEVIER SCI LTD
ISSN
0960-8524
Keyword (Author)
Adaptive laboratory evolutionBiosensor-assisted evolutionStringent responseppGppAcetate metabolismItaconic acid productionEscherichia coli
Keyword
ESCHERICHIA-COLIGROWTH-RATEPPGPPINDUCTIONTRANSCRIPTIONBIOSYNTHESISINITIATIONACETATEOPERONGENE

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