XanthoMoClo─A Robust Modular Cloning Genetic Toolkit for the Genera Xanthobacter and Roseixanthobacter.

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2025-04-18 Epub Date: 2025-03-13 DOI:10.1021/acssynbio.4c00806
Maximillian P M Soltysiak, Audrey L H Ory, Andrew D Lee, Caroline E Christophersen, Amogh P Jalihal, Michael Springer
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Abstract

Interest in Xanthobacter species is increasing due to their unique metabolic capabilities. They can grow in both heterotrophic and fully autotrophic environments, including carbon dioxide, dinitrogen gas, and hydrogen as the sole carbon, nitrogen, and energy sources, respectively. Academic and industrial groups looking to leverage these metabolic properties are already using Xanthobacter strains for the sustainable production of food and commodities. However, only a handful of genetic parts and protocols exist in scattered genetic backgrounds, and there is an unmet need for reliable genetic engineering tools to manipulate Xanthobacter species. Here, we developed XanthoMoClo, a robust modular cloning genetic toolkit for Xanthobacter and Roseixanthobacter species and strains, providing extensive tools to transform them, manipulate their metabolism, and express genes of interest. The toolkit contains plasmid parts, such as replication origins, antibiotic selection markers, fluorescent proteins, constitutive and inducible promoters, a standardized framework to incorporate novel components into the toolkit, and a conjugation donor to transform Xanthobacter and Roseixanthobacter strains easily with no or minimal optimization. We validated these plasmid components in depth in three of the most commonly studied Xanthobacter strains: X. versatilis Py2, X. autotrophicus GZ29, and X. flavus GJ10, as well as in R. finlandensis VTT E-85241. Finally, we demonstrate robust toolkit functionality across 21 different species of Xanthobacter and Roseixanthobacter, comprising 23 strains in total. The XanthoMoClo genetic toolkit is available to the research community (through AddGene) and will help accelerate the genetic engineering of Xanthobacter to further their applications in sustainability and bioremediation efforts.

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XanthoMoClo─一个强大的黄杆菌属和玫瑰黄杆菌属的模块化克隆遗传工具包。
由于其独特的代谢能力,对黄杆菌种类的兴趣正在增加。它们既可以在异养环境中生长,也可以在完全自养环境中生长,其中二氧化碳、二氮气体和氢气分别作为唯一的碳、氮和能量来源。希望利用这些代谢特性的学术和工业团体已经在使用黄杆菌菌株进行食品和商品的可持续生产。然而,在分散的遗传背景下,只有少数遗传部分和方案存在,并且对可靠的基因工程工具来操纵黄杆菌物种的需求尚未得到满足。在这里,我们开发了XanthoMoClo,一个强大的模块化克隆遗传工具包,用于黄杆菌和玫瑰黄杆菌物种和菌株,提供广泛的工具来转化它们,操纵它们的代谢,表达感兴趣的基因。该工具包包含质粒部分,如复制起点,抗生素选择标记,荧光蛋白,组成型和诱导型启动子,将新成分纳入工具包的标准化框架,以及偶联供体,可轻松转化黄杆菌和玫瑰黄杆菌菌株,无需或最小优化。我们在三种最常见的黄杆菌菌株(X.通体X. Py2、X.自养X. GZ29和X. flavus GJ10)以及R. finlandensis VTT E-85241中深入验证了这些质粒成分。最后,我们在21种不同种类的黄杆菌和玫瑰黄杆菌中展示了强大的工具包功能,总共包括23个菌株。XanthoMoClo基因工具包可供研究界使用(通过AddGene),将有助于加速Xanthobacter的基因工程,进一步促进其在可持续性和生物修复工作中的应用。
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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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