Engineering Microbial Consortium Biohybrid System to Efficiently Produce Electricity from Lignocellulose Biomass.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-06-20 Epub Date: 2025-06-05 DOI:10.1021/acssynbio.5c00178
Junqi Zhang, Yuanxiu Li, Wenjing Lv, Zixuan You, Huan Yu, Baocai Zhang, Qijing Liu, Jing Zou, Tao Chen, Feng Li, Hao Song
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引用次数: 0

Abstract

Converting lignocellulose into bioelectricity through a bioelectrocatalytic system (BES) has emerged as a promising approach to addressing environmental pollution and energy regeneration challenges. However, practical application of BES is significantly constrained by the fact that the electroactive biocatalyst Shewanella oneidensis lacks the essential metabolic pathways and enzymes required for utilizing lignocellulose for cell growth and power generation. Here, to realize clean electricity production from lignocellulose hydrolysate, an artificial microbial consortium comprising S. oneidensis, Lactococcus lactis, and Bacillus subtilis was developed. In this consortium, L. lactis is responsible for converting glucose into lactate; B. subtilis metabolizes glucose and xylose into riboflavin; and S. oneidensis then employs lactate as an electron donor and riboflavin as an electron shuttle to facilitate electricity generation. Subsequently, to increase substrate conversion efficiency of the microbial consortium, three key genes codY, ribA, and dld encoding lactate dehydrogenase, GTP cyclohydrolase, and d-lactate dehydrogenase, were expressed in L. lactis, B. subtilis, and S. oneidensis, respectively, which accelerated glucose-to-lactate conversion, riboflavin synthesis, and lactate metabolism. Also, to accelerate the extracellular electron transfer (EET) capacity of the microbial consortium, the cyc2 gene from Acidithiobacillus ferrooxidans encoding the outer membrane c-type cytochrome was further expressed in S. oneidensis. Finally, to further enhance the interfacial EET capability of the microbial consortium, a 3D microbiota biohybrid system S7L1B1@CF&GO consisting of carbon felts and graphene oxide was developed to reduce the internal resistance of BES. The results showed that the artificial biohybrid system could obtain a maximum power density of ∼739.40 mW m-2 using lignocellulosic hydrolysate as the carbon source. This system expands the range of carbon sources available to S. oneidensis for efficient power generation from the lignocellulosic hydrolysate.

利用木质纤维素生物质高效发电的工程微生物联盟生物杂交系统。
通过生物电催化系统(BES)将木质纤维素转化为生物电已成为解决环境污染和能源再生挑战的一种有前途的方法。然而,电活性生物催化剂希瓦氏菌缺乏利用木质纤维素进行细胞生长和发电所需的必要代谢途径和酶,这极大地限制了BES的实际应用。为了实现木质纤维素水解物的清洁发电,我们开发了一个由草芽孢杆菌、乳酸乳球菌和枯草芽孢杆菌组成的人工微生物联合体。在这个联合体中,乳酸乳杆菌负责将葡萄糖转化为乳酸;枯草芽孢杆菌将葡萄糖和木糖代谢为核黄素;然后利用乳酸盐作为电子供体,核黄素作为电子穿梭体来促进发电。随后,为了提高微生物群落的底物转化效率,分别在L. lactis、B. subtilis和S. oneidensis中表达编码乳酸脱氢酶、GTP环水解酶和d-乳酸脱氢酶的三个关键基因codY、ribA和dld,加速葡萄糖到乳酸的转化、核黄素合成和乳酸代谢。此外,为了加速微生物联盟的细胞外电子转移(EET)能力,编码外膜c型细胞色素的酸性氧化亚铁硫杆菌cyc2基因进一步在山参中表达。最后,为了进一步增强微生物联合体的界面EET能力,开发了由碳毡和氧化石墨烯组成的三维微生物群生物杂交系统S7L1B1@CF&GO,以降低BES的内阻。结果表明,以木质纤维素水解物为碳源的人工生物杂交系统可以获得约739.40 mW m-2的最大功率密度。该系统扩大了草属植物可利用的碳源范围,使其能够从木质纤维素水解物中高效发电。
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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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