About this Research Topic
Synthetic biology has traditionally focused on model microorganisms like Escherichia coli and Saccharomyces cerevisiae. However, recent advances highlight the untapped potential of non-model microbes, which represent a vast reservoir of genetic diversity and unique metabolic capabilities. These non-model organisms, often found in extreme or unique environments, hold promise for novel biotechnological applications such as biofuel production, bioremediation, and novel pharmaceuticals. By expanding synthetic biology tools and techniques to include non-model microbes, researchers can harness these organisms' unique traits, thereby driving innovation and expanding the frontiers of microbiology.
This research topic aims to address the challenges and opportunities associated with applying synthetic biology to non-model microbes. One significant challenge is the lack of standardized genetic tools and well-characterized genetic parts for these organisms. To overcome this, new techniques for genome editing, metabolic engineering, and regulatory network optimization can be tailored specifically to non-model microbes. Recent advances, such as CRISPR-Cas systems adapted for diverse microbial species and improved computational tools for genome assembly and annotation, offer promising solutions. Moreover, fostering collaborations between synthetic biologists, microbiologists, and computational scientists can accelerate the development of robust synthetic biology platforms for non-model organisms. By leveraging high-throughput screening and automation, researchers can rapidly identify and optimize desired traits in these microbes. Ultimately, this research topic seeks to highlight the potential of non-model microbes in synthetic biology, encourage the development of innovative methodologies, and explore new applications in biotechnology. Through this collective effort, we aim to unlock the full potential of microbial diversity for sustainable and impactful biotechnological solutions.
This Research Topic, "Synthetic Biology for Non-Model Microbes," seeks to explore the innovative applications and methodologies in the field of synthetic biology tailored to non-model microorganisms.
We welcome contributions addressing the following themes, but not limited to:
1. Development and optimization of genetic tools for non-model microbes.
2. Novel genome editing and metabolic engineering techniques.
3. Regulatory network optimization and synthetic pathway construction.
4. High-throughput screening methods for microbial trait optimization.
5. Case studies demonstrating biotechnological applications in biofuels, bioremediation, and pharmaceuticals.
We invite all types of articles, including original research articles, methods, reviews, and perspectives. Manuscripts should provide insights into the challenges, solutions, and future directions of synthetic biology in non-model microbes. Interdisciplinary approaches and collaborative studies that integrate synthetic biology with microbiology, bioinformatics, and computational biology are highly encouraged. By contributing to this Research Topic, authors will help advance the field and unlock the potential of microbial diversity for innovative biotechnological applications.
Please note that Microbiotechnology does not consider descriptive studies solely based on amplicon (e.g. 16S rRNA) profiles. Contributions should be driven by a clear hypothesis and experimentation, and provide insights into the microbiological system or process being studied.
This research topic aims to address the challenges and opportunities associated with applying synthetic biology to non-model microbes. One significant challenge is the lack of standardized genetic tools and well-characterized genetic parts for these organisms. To overcome this, new techniques for genome editing, metabolic engineering, and regulatory network optimization can be tailored specifically to non-model microbes. Recent advances, such as CRISPR-Cas systems adapted for diverse microbial species and improved computational tools for genome assembly and annotation, offer promising solutions. Moreover, fostering collaborations between synthetic biologists, microbiologists, and computational scientists can accelerate the development of robust synthetic biology platforms for non-model organisms. By leveraging high-throughput screening and automation, researchers can rapidly identify and optimize desired traits in these microbes. Ultimately, this research topic seeks to highlight the potential of non-model microbes in synthetic biology, encourage the development of innovative methodologies, and explore new applications in biotechnology. Through this collective effort, we aim to unlock the full potential of microbial diversity for sustainable and impactful biotechnological solutions.
This Research Topic, "Synthetic Biology for Non-Model Microbes," seeks to explore the innovative applications and methodologies in the field of synthetic biology tailored to non-model microorganisms.
We welcome contributions addressing the following themes, but not limited to:
1. Development and optimization of genetic tools for non-model microbes.
2. Novel genome editing and metabolic engineering techniques.
3. Regulatory network optimization and synthetic pathway construction.
4. High-throughput screening methods for microbial trait optimization.
5. Case studies demonstrating biotechnological applications in biofuels, bioremediation, and pharmaceuticals.
We invite all types of articles, including original research articles, methods, reviews, and perspectives. Manuscripts should provide insights into the challenges, solutions, and future directions of synthetic biology in non-model microbes. Interdisciplinary approaches and collaborative studies that integrate synthetic biology with microbiology, bioinformatics, and computational biology are highly encouraged. By contributing to this Research Topic, authors will help advance the field and unlock the potential of microbial diversity for innovative biotechnological applications.
Please note that Microbiotechnology does not consider descriptive studies solely based on amplicon (e.g. 16S rRNA) profiles. Contributions should be driven by a clear hypothesis and experimentation, and provide insights into the microbiological system or process being studied.
Keywords: Synthetic Biology, Non-Model Microbes, Microbial Biotechnology, Genetic Diversity, Metabolic Capability
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
