Literature DB >> 34433019

Synthetic biosensor accelerates evolution by rewiring carbon metabolism toward a specific metabolite.

Joo Yeon Seok1, Yong Hee Han2, Jae-Seong Yang3, Jina Yang4, Hyun Gyu Lim5, Seong Gyeong Kim5, Sang Woo Seo6, Gyoo Yeol Jung7.   

Abstract

Proper carbon flux distribution between cell growth and production of a target compound is important for biochemical production because improper flux reallocation inhibits cell growth, thus adversely affecting production yield. Here, using a synthetic biosensor to couple production of a specific metabolite with cell growth, we spontaneously evolve cells under the selective condition toward the acquisition of genotypes that optimally reallocate cellular resources. Using 3-hydroxypropionic acid (3-HP) production from glycerol in Escherichia coli as a model system, we determine that mutations in the conserved regions of proteins involved in global transcriptional regulation alter the expression of several genes associated with central carbon metabolism. These changes rewire central carbon flux toward the 3-HP production pathway, increasing 3-HP yield and reducing acetate accumulation by alleviating overflow metabolism. Our study provides a perspective on adaptive laboratory evolution (ALE) using synthetic biosensors, thereby supporting future efforts in metabolic pathway optimization.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3-hydroxypropionic acid; adaptive laboratory evolution; biosensor; evolutionary metabolic engineering; selection; synthetic biology

Mesh:

Substances:

Year:  2021        PMID: 34433019     DOI: 10.1016/j.celrep.2021.109589

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  2 in total

Review 1.  Biosensor-enabled pathway optimization in metabolic engineering.

Authors:  Yuxi Teng; Jianli Zhang; Tian Jiang; Yusong Zou; Xinyu Gong; Yajun Yan
Journal:  Curr Opin Biotechnol       Date:  2022-02-11       Impact factor: 10.279

2.  Kinetic compartmentalization by unnatural reaction for itaconate production.

Authors:  Dae-Yeol Ye; Myung Hyun Noh; Jo Hyun Moon; Alfonsina Milito; Minsun Kim; Jeong Wook Lee; Jae-Seong Yang; Gyoo Yeol Jung
Journal:  Nat Commun       Date:  2022-09-12       Impact factor: 17.694

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.