Microbial consortia for pesticide biodegradation: mechanisms, cross-class pathways, and translational challenges.

Authors

Elango Lavanya, Johnson Iruthayasamy, Arunprakash Soodamani, Mareeswari Petchimuthu, Suganthi Angappan, Kavitha Murugavel, Karthikeyan Muthusamy

Published in

Biodegradation. Volume 37. Issue 5. Sep 14, 2026. Epub Sep 14, 2026.

Abstract

The use of synthetic pesticides estimated at 4.1 million metric tons annually worldwide, has led to widespread contamination of soils and aquatic environments, with documented risks to ecosystem integrity and human health. Physicochemical remediation methods are costly and often generate secondary pollutants and toxic intermediates, making microbial bioremediation a lower-residue alternative to physicochemical treatment. Because pesticide degradation in natural environments is rarely achieved by single microbial species, this review critically synthesizes evidence on multi-species microbial consortia-natural, synthetic, and genetically engineered for the biodegradation of six major pesticide classes: organophosphates, carbamates, pyrethroids, neonicotinoids, organochlorines, and triazines. Integration of the ecological mechanisms underlying consortium synergism (sequential metabolic cooperation, metabolic division of labour, biosurfactant-mediated bioavailability enhancement, horizontal gene transfer, and extracellular enzyme cooperation) with the enzymatic and genetic basis of degradation for each pesticide class, and evaluate how emerging tools like multi-omics profiling, CRISPR-based strain engineering, immobilisation technologies, synthetic consortium design, and AI-assisted optimisation are reshaping consortium design. Reported removal efficiencies are consistently higher for consortia than for monocultures across the studies reviewed here, though direct comparisons vary by pesticide class and experimental design. The review closes by evaluating the principal barriers to field-scale translation, strain persistence, ecological risk and regulatory approval, and monitoring of introduced strains and proposes a tiered framework for matching consortium design to contamination scenario. To date, this is the review to integrate ecological interaction mechanisms, class-specific enzymatic pathways, and translational technologies for pesticide-degrading consortia within a single framework.

PMID:
42734856
Bibliographic data and abstract were imported from PubMed on 15 Sep 2026.

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