MMR_2024v14n1

Molecular Microbiology Research 2024, Vol.14, No.1, 39-48 http://microbescipublisher.com/index.php/mmr 47 industrial applications. In science, SynComs have provided deeper insights into microbial ecology and the intricate interactions within microbial ecosystems. They have also advanced our understanding of plant-microbe interactions, leading to innovative strategies for enhancing crop performance under various environmental conditions. In industry, SynComs have revolutionized biotechnological processes, enabling the efficient production of biofuels, biochemicals, and pharmaceuticals from renewable resources. The ability to design and control microbial consortia has opened new avenues for sustainable and cost-effective bioproduction, waste treatment, and environmental remediation. 7.3 Call for continued research and collaboration in the field Despite the significant advancements, the field of synthetic microbial communities is still in its nascent stages, and there is a pressing need for continued research and collaboration. Future studies should focus on optimizing the design and stability of SynComs, exploring new genetic pathways, and developing more sophisticated computational models to predict community dynamics. Interdisciplinary collaboration between microbiologists, synthetic biologists, computational scientists, and engineers will be crucial in overcoming current limitations and unlocking the full potential of SynComs. Additionally, there is a need for standardized protocols and frameworks to facilitate the reproducibility and scalability of SynCom applications in various industries. By fostering a collaborative and innovative research environment, we can accelerate the development of SynComs and their transformative impact on science and industry. Acknowledgments We extend our sincere thanks to two anonymous peer reviewers for their invaluable feedback on the initial draft of this paper. Funding This Project was provided by the Innovation Team Foundation of the Ministry of Education of China (IRT_17R99) and the Scientific Research Foundation of Zhejiang A&F University (2016FR006). Conflict of Interest Disclosure The authors affirm that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Alam K., Hao J., Zhang Y., and Li A., 2021, Synthetic biology-inspired strategies and tools for engineering of microbial natural product biosynthetic pathways, Biotechnology advances, 49: 107759. https://doi.org/10.1016/j.biotechadv.2021.107759. Bekiaris P., and Klamt S., 2021, Designing microbial communities to maximize the thermodynamic driving force for the production of chemicals, PLoS Computational Biology, 17(6): e1009093. https://doi.org/10.1371/journal.pcbi.1009093. Ezzamouri B., Shoaie S., and edesma‐Amaro R., 2021, Synergies of systems biology and synthetic biology in human microbiome studies, Frontiers in Microbiology, 12: 681982. https://doi.org/10.3389/fmicb.2021.681982. Hu B., Wang M., Geng S., Wen L., Wu M., Nie Y., Tang Y., and Wu X., 2020, Metabolic exchange with non-alkane-consuming pseudomonas stutzeri slg510a3-8 improves n-alkane biodegradation by the alkane degrader dietzia sp. strain DQ12-45-1b, Applied and Environmental Microbiology, 86(8): e02931-19. https://doi.org/10.1128/AEM.02931-19. Kang M., Choe D., Kim K., Cho B., and Cho S., 2020, Synthetic biology approaches in the development of engineered therapeutic microbes, International Journal of Molecular Sciences, 21(22): 8744. https://doi.org/10.3390/ijms21228744. Karkaria B., Fedorec A., and Barnes C., 2021, Automated design of synthetic microbial communities, Nature Communications, 12(1): 672. https://doi.org/10.1038/s41467-020-20756-2. Kumar P., Sinha R., and Shukla P., 2022, Artificial intelligence and synthetic biology approaches for human gut microbiome, Critical Reviews in Food Science and Nutrition, 62(8): 2103-2121. https://doi.org/10.1080/10643389.2023.2212569.

RkJQdWJsaXNoZXIy MjQ4ODYzNA==