Evidence map›Paper›PMID 42734856›Full record

ReviewBiodegradation2026

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

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

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Elango LavanyaDepartment of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore, 641003, India.
Johnson IruthayasamyDepartment of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore, 641003, India.
Arunprakash SoodamaniDepartment of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore, 641003, India.
Mareeswari PetchimuthuDepartment of Plant Pathology, Agricultural College and Research Institute-Madurai, Tamil Nadu Agricultural University, Coimbatore, 641003, India.
Suganthi AngappanKrishi Vigyan Kendra, Tamil Nadu Agricultural University, Ooty, The Nilgiris, 643001, India.
Kavitha MurugavelDepartment of Vegetable Science, Horticulture College and Research Institute, Tamil Nadu Agricultural University, Coimbatore, 641003, India.
Karthikeyan MuthusamyDepartment of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore, 641003, India. karthikeyan.m@tnau.ac.in.ORCID https://orcid.org/0000-0003-0816-4096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BacteriaMicrobial ConsortiaPesticidesBiodegradation, EnvironmentalPesticidesEnvironmental restorationEnzymatic degradationMicrobial consortiaPesticide biodegradationSynergistic mineralizationSynthetic microbial communities

Identifiers

PMID42734856
PMCPMC13574874

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.