{"title":"Accelerated Metabolic Engineering for Industrial Strain Development via the Construction of a Large-Scale Genome Library.","authors":"Yufei Dong, Zhen Chen","doi":"10.1021/acssynbio.4c00620","DOIUrl":null,"url":null,"abstract":"<p><p>Production of chemicals via metabolic engineering of microbes is becoming highly important for sustainable bioeconomy. Conventional metabolic engineering methodologies typically involve labor-intensive and time-consuming processes of iterative genetic modifications, which are inefficient in identifying new genetic targets for the construction of robust industrial strains on a large scale. To accelerate the creation of efficient microbial cell factories and enhance our insights into cellular metabolism, diverse large-scale genome libraries are emerging as powerful tools, which can be established through multiplex or parallel genome editing, gene expression regulation, and incorporation of evolutionary strategies. In this review, we discuss the latest advancements in the construction of genome-scale libraries as well as their applications within the domain of metabolic engineering. We also address the limitations of various techniques and provide insights into future prospects for the field.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":" ","pages":"41-56"},"PeriodicalIF":3.9000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acssynbio.4c00620","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/16 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Production of chemicals via metabolic engineering of microbes is becoming highly important for sustainable bioeconomy. Conventional metabolic engineering methodologies typically involve labor-intensive and time-consuming processes of iterative genetic modifications, which are inefficient in identifying new genetic targets for the construction of robust industrial strains on a large scale. To accelerate the creation of efficient microbial cell factories and enhance our insights into cellular metabolism, diverse large-scale genome libraries are emerging as powerful tools, which can be established through multiplex or parallel genome editing, gene expression regulation, and incorporation of evolutionary strategies. In this review, we discuss the latest advancements in the construction of genome-scale libraries as well as their applications within the domain of metabolic engineering. We also address the limitations of various techniques and provide insights into future prospects for the field.
期刊介绍：
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.
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