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Review

Engineering of Synthetic Microbial Consortia for Sustainable Management of Wastewater and Polyethylene Terephthalate: A Comprehensive Review

by
Yiqun Zhou
1 and
Muhammad Zeeshan Ul Haq
2,3,4,*
1
Faculty of Science, The University of Hong Kong, Hong Kong SAR 999077, China
2
Spice and Beverage Research Institute, Chinese Academy of Tropical Agriculture Science, Wanning 571533, China
3
School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya 572025, China
4
School of Tropical Agriculture and Forestry, Hainan University, Haikou 570228, China
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2025, 26(23), 11623; https://doi.org/10.3390/ijms262311623
Submission received: 18 October 2025 / Revised: 14 November 2025 / Accepted: 26 November 2025 / Published: 30 November 2025
(This article belongs to the Section Molecular Microbiology)

Abstract

Plastic pollution and wastewater have become the leading environmental concerns due to their harmful effects on human health and pose a severe threat to the biosphere. Polyethylene terephthalate (PET) is one of the most widely used plastics worldwide, but it is resistant to natural degradation. Additionally, the complex pollutants in wastewater demand advanced remediation strategies. Although physicochemical methods are commonly used for PET degradation and wastewater treatment, bioremediation with microorganisms offers a greener and more eco-friendly alternative. This review focuses on the molecular mechanisms and engineering of synthetic microbial consortia (SMC) for the bioremediation of wastewater and PET plastics. It examines the rational design of SMCs, utilizing both bottom-up and top-down methods, and emphasizes the importance of quorum sensing and metabolite cross-feeding in maintaining the stability and functionality of the consortium. Furthermore, the review critically assesses how CRISPR-Cas9 enables precise genome editing for robust pathway engineering and stress resilience, while Machine Learning provides predictive models to optimize consortium composition and function, thereby advancing SMC capabilities for both applications. These developments highlight SMC as a promising, eco-friendly, and efficient biological platform to tackle wastewater challenges and plastic pollution simultaneously.
Keywords: synthetic microbial consortia; wastewater treatment; polyethylene terephthalate (PET); CRISPR-Cas9; machine learning; quorum sensing; cross-feeding; enzyme engineering synthetic microbial consortia; wastewater treatment; polyethylene terephthalate (PET); CRISPR-Cas9; machine learning; quorum sensing; cross-feeding; enzyme engineering

Share and Cite

MDPI and ACS Style

Zhou, Y.; Zeeshan Ul Haq, M. Engineering of Synthetic Microbial Consortia for Sustainable Management of Wastewater and Polyethylene Terephthalate: A Comprehensive Review. Int. J. Mol. Sci. 2025, 26, 11623. https://doi.org/10.3390/ijms262311623

AMA Style

Zhou Y, Zeeshan Ul Haq M. Engineering of Synthetic Microbial Consortia for Sustainable Management of Wastewater and Polyethylene Terephthalate: A Comprehensive Review. International Journal of Molecular Sciences. 2025; 26(23):11623. https://doi.org/10.3390/ijms262311623

Chicago/Turabian Style

Zhou, Yiqun, and Muhammad Zeeshan Ul Haq. 2025. "Engineering of Synthetic Microbial Consortia for Sustainable Management of Wastewater and Polyethylene Terephthalate: A Comprehensive Review" International Journal of Molecular Sciences 26, no. 23: 11623. https://doi.org/10.3390/ijms262311623

APA Style

Zhou, Y., & Zeeshan Ul Haq, M. (2025). Engineering of Synthetic Microbial Consortia for Sustainable Management of Wastewater and Polyethylene Terephthalate: A Comprehensive Review. International Journal of Molecular Sciences, 26(23), 11623. https://doi.org/10.3390/ijms262311623

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