Production of ( <i>R</i> )‐1,3‐butanediol via an Isozyme co‐expression Strategy in <i>Escherichia coli</i>

Microbial cell factories for the production of valuable chemicals often require multi-step biosynthetic pathways, whose efficiency is frequently limited by the performance and compatibility of pathway enzymes. Here, an isozyme co-expression strategy was proposed and evaluated in the (R)-1,3-BDO biosynthetic pathway of Escherichia coli. First, nine strains harboring different combinations of three candidate thiolases (AtoB, PhaA, Thl) and three candidate aldehyde dehydrogenases (Bld, Ald, AdhE2) were constructed and evaluated. Among them, the Thl-PhaB-Bld strain (B3-7) exhibited the highest (R)-1,3-BDO production (1.4 g/L). The remaining isozymes (AtoB, PhaA, Ald, and AdhE2) were then overexpressed individually in strain B3-7, with PhaA and AdhE2 showing the most significant improvement in (R)-1,3-BDO production. Co-expression of PhaA and AdhE2 further increased the (R)-1,3-BDO titer to 4.2 g/L, representing a 200% increase relative to strain B3-7. In addition, several metabolic effector molecules were screened as medium supplements, among which citric acid was identified as the most effective for improving (R)-1,3-BDO production. Finally, in glucose-feeding shake-flask fermentation, the isozyme co-expression strain produced 16.2 g/L (R)-1,3-BDO. Collectively, the isozyme co-expression strategy effectively enhanced (R)-1,3-BDO production and represents a promising approach for optimizing multi-step biosynthetic pathways.

Authors

Institutions

Publication Details

Journal
Biotechnology Journal
Published
2026-04-01
DOI
https://doi.org/10.1002/biot.70224
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Production of ( R )‐1,3‐butanediol via an Isozyme co‐expression Strategy in Escherichia coli

H Zhang, Xiwei Peng, Chenjie Zhu, Zheng Wang et al.
Biotechnology Journal
Microbial Metabolic Engineering and Bioproduction
article

Production of ( R )‐1,3‐butanediol via an Isozyme co‐expression Strategy in Escherichia coli

H Zhang, Xiwei Peng, Chenjie Zhu, Zheng Wang, Mengting Li, Pinzhou Chen, Dong Peng, Hanjie Ying, Qingguo Liu, Dong Liu
article en

Abstract

Microbial cell factories for the production of valuable chemicals often require multi-step biosynthetic pathways, whose efficiency is frequently limited by the performance and compatibility of pathway enzymes. Here, an isozyme co-expression strategy was proposed and evaluated in the (R)-1,3-BDO biosynthetic pathway of Escherichia coli. First, nine strains harboring different combinations of three candidate thiolases (AtoB, PhaA, Thl) and three candidate aldehyde dehydrogenases (Bld, Ald, AdhE2) were constructed and evaluated. Among them, the Thl-PhaB-Bld strain (B3-7) exhibited the highest (R)-1,3-BDO production (1.4 g/L). The remaining isozymes (AtoB, PhaA, Ald, and AdhE2) were then overexpressed individually in strain B3-7, with PhaA and AdhE2 showing the most significant improvement in (R)-1,3-BDO production. Co-expression of PhaA and AdhE2 further increased the (R)-1,3-BDO titer to 4.2 g/L, representing a 200% increase relative to strain B3-7. In addition, several metabolic effector molecules were screened as medium supplements, among which citric acid was identified as the most effective for improving (R)-1,3-BDO production. Finally, in glucose-feeding shake-flask fermentation, the isozyme co-expression strain produced 16.2 g/L (R)-1,3-BDO. Collectively, the isozyme co-expression strategy effectively enhanced (R)-1,3-BDO production and represents a promising approach for optimizing multi-step biosynthetic pathways.

Biotechnology JournalVol. 21(4)
Nanjing Tech University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 20%
Microbial Metabolic Engineering and Bioproduction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.