ReviewBiodegradation2026
Microbial consortia for pesticide biodegradation: mechanisms, cross-class pathways, and translational challenges.
Review in Biodegradation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.