Systems Metabolic Engineering of Corynebacterium glutamicum to Create a Producer of L-Valine

This review is devoted to the main approaches of systems metabolic engineering used in the development of Corynebacterium glutamicum–based producers of L-valine, an essential proteinogenic amino acid that is widely used as a feed additive. This direction of engineering is based on the concepts of systems biology, considering the living organism as a holistic system with complex interaction between elements. This review considers the following approaches: laboratory evolution as a way to obtain new mutations that increase L-valine production; the use of biosensors to select clones with such mutations; “omic” data obtained for C. glutamicum strains capable of producing L-valine and related amino acids; modification of genes encoding global regulatory factors; and modeling of metabolic pathways relevant to amino acid production in C. glutamicum using full genomic data. Each of the approaches is evaluated in terms of its effectiveness in increasing the productivity of strains and improving their technological characteristics. In addition, information is presented on modern methods of genome editing of C. glutamicum, without which it is impossible to carry out a large number of targeted modifications necessary for the realization of systems metabolic engineering approaches.

Authors

Institutions

Publication Details

Journal
Applied Biochemistry and Microbiology
Published
2024-12-01
DOI
https://doi.org/10.1134/s0003683824090023
Citations
2
Primary Topic
Microbial Metabolic Engineering and Bioproduction
Type
article
Field-Weighted Citation Impact
0.47
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Systems Metabolic Engineering of Corynebacterium glutamicum to Create a Producer of L-Valine

Д. Д. Дербиков, Н. А. Колчанов, Т. М. Хлебодарова, M. E. Sheremetieva et al.
2 citations
Applied Biochemistry and Microbiology
Microbial Metabolic Engineering and Bioproduction
0.47
article

Systems Metabolic Engineering of Corynebacterium glutamicum to Create a Producer of L-Valine

Д. Д. Дербиков, Н. А. Колчанов, Т. М. Хлебодарова, M. E. Sheremetieva, А. S. Yanenko, В. В. Розанцева
article en
2 citations

Abstract

This review is devoted to the main approaches of systems metabolic engineering used in the development of Corynebacterium glutamicum–based producers of L-valine, an essential proteinogenic amino acid that is widely used as a feed additive. This direction of engineering is based on the concepts of systems biology, considering the living organism as a holistic system with complex interaction between elements. This review considers the following approaches: laboratory evolution as a way to obtain new mutations that increase L-valine production; the use of biosensors to select clones with such mutations; “omic” data obtained for C. glutamicum strains capable of producing L-valine and related amino acids; modification of genes encoding global regulatory factors; and modeling of metabolic pathways relevant to amino acid production in C. glutamicum using full genomic data. Each of the approaches is evaluated in terms of its effectiveness in increasing the productivity of strains and improving their technological characteristics. In addition, information is presented on modern methods of genome editing of C. glutamicum, without which it is impossible to carry out a large number of targeted modifications necessary for the realization of systems metabolic engineering approaches.

Applied Biochemistry and MicrobiologyVol. 60(9)
Kurchatov Institute (RU), Institute of Cytology and Genetics (RU)
Openalex Percentile: Top 33%
Microbial Metabolic Engineering and Bioproduction
0.47
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.