作为活材料的微生物联合体工程学:进展与展望。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-09-20 Epub Date: 2024-08-22 DOI:10.1021/acssynbio.4c00313
Shuchen Wang, Yuewei Zhan, Xue Jiang, Yong Lai
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引用次数: 0

摘要

工程生物材料(ELMs)领域将工程生物融入天然生物材料,以实现各种目标。多生物联合体普遍存在于天然和合成微生物培养物中,具有复杂的功能和相互关系,扩大了单个工程细菌菌株所能实现的范围。然而,由微生物群组成的 ELM 仍处于发展阶段。在这篇综述中,我们将介绍设计由微生物菌群构成的 ELM 的两种策略:一种是自上而下的策略,包括确定微生物相互作用的特征以及模拟和重建自然生态系统;另一种是自下而上的策略,包括合理设计合成菌群并将其与材料基质组装,以实现用户定义的功能。接下来,我们总结了合成生物学技术,这些技术有助于高效地设计微生物联合体,以完成比单一细菌菌株更复杂的任务。最后,我们讨论了基于微生物群的 ELMs 所面临的基本挑战和未来展望。
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Engineering Microbial Consortia as Living Materials: Advances and Prospectives.

The field of Engineered Living Materials (ELMs) integrates engineered living organisms into natural biomaterials to achieve diverse objectives. Multiorganism consortia, prevalent in both naturally occurring and synthetic microbial cultures, exhibit complex functionalities and interrelationships, extending the scope of what can be achieved with individual engineered bacterial strains. However, the ELMs comprising microbial consortia are still in the developmental stage. In this Review, we introduce two strategies for designing ELMs constituted of microbial consortia: a top-down strategy, which involves characterizing microbial interactions and mimicking and reconstructing natural ecosystems, and a bottom-up strategy, which entails the rational design of synthetic consortia and their assembly with material substrates to achieve user-defined functions. Next, we summarize technologies from synthetic biology that facilitate the efficient engineering of microbial consortia for performing tasks more complex than those that can be done with single bacterial strains. Finally, we discuss essential challenges and future perspectives for microbial consortia-based ELMs.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
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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