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M. Elayarajan

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Open access Sep 2026

Mitigation of heavy metal bioavailability and uptake by fodder crops using organic and mineral amendments in a sewage-irrigated peri-urban agroecosystem

Long-term irrigation with sewage wastewater can increase the bioavailability of potentially toxic metals in peri-urban soils and promote their entry into fodder-livestock systems. This greenhouse study evaluated six amendments namely biochar, bentonite, zeolite, humic acid, vermicompost and farmyard manure (FYM), for reducing lead (Pb), cadmium (Cd), nickel (Ni) and chromium (Cr) availability and uptake by fodder maize, fodder sorghum and Cumbu Napier grown in contaminated soil. Each crop was evaluated in a separate completely randomised experiment with 8 treatments and 3 replications. Zeolite was consistently the most effective amendment. Compared with the unamended control, it reduced post-harvest diethylenetriaminepentaacetic acid (DTPA)-extractable Pb, Cd, Ni and Cr by 66.7 % across the three crop soils and lowered metal concentrations in plant tissues by approximately 57.6 %. Vermicompost and farmyard manure (FYM) were the next most effective treatments, whereas recommended fertiliser alone and the unamended control retained the greatest metal availability. Metal concentrations followed the order root > leaf > stem, indicating restricted movement to above-ground tissues. Fodder maize had the lowest overall tissue concentrations, while Cumbu Napier accumulated more Pb, Cd and Ni; Cr accumulation was comparatively greater in sorghum and maize roots. All bioaccumulation and translocation factors were below one. The first two principal components explained 99.79 % of the variation and clearly separated low- and high-metal treatments. The integrated amendment-crop assessment identifies zeolite-amended maize as the lowest-transfer combination under the tested conditions and provides a practical basis for safer fodder production in sewage-irrigated peri-urban soils.

K. Sai, M. Elayarajan, S. Suganya et al. · 0 citations
Review Open access Aug 2026

Multi-omics approaches to assess the impact of emerging contaminants in soil ecosystems

Emerging contaminants (ECs), such as pharmaceuticals, microplastics (MPs), per- and polyfluoroalkyl substances (PFAS), polycyclic aromatic hydrocarbons (PAH), endocrine-disrupting compounds (EDC) and heavy metals, are progressively affecting soil ecosystems through multiple inputs such as wastewater irrigation, biosolid amendment, agricultural runoff and atmospheric deposition. Despite their widespread occurrence, ECs are rarely incorporated into regular soil monitoring frameworks and remain mainly unregulated. Their persistent accumulation disrupts fundamental soil physicochemical characteristics, microbial community composition, soil-plant interactions, ultimately threatening ecosystem functions. Conventional ecotoxicological techniques lack the mechanistic precision necessary to capture the systemic, multi-scale changes that ECs cause throughout biological hierarchies. Multi-omics approaches, integrating metagenomics, metatranscriptomics, metaproteomics and metabolomics, have enabled comprehensive, system-level insights into EC-induced perturbations at the genetic, transcriptional, protein and metabolic levels. This review synthesises recent advances in the application of multi-omics to unravel the impacts of ECs on soil microbial communities, with a particular focus on changes in taxonomic structure, functional gene expression, enzymatic activities and metabolic pathways. Despite the transformative potential of multi-omics for ecological risk assessment and bioremediation, challenges such as data integration and dimensionality, standardisation and interpretation persist. Furthermore, substantial variability in analytical workflows and dependence on non-soil reference databases restrict inter-study comparability and practical application. Continued advancements will hinge on standardised methodologies, open-access soil databases, artificial intelligence (AI) driven data integration and long-term field investigations to enhance the reproducibility and ecological relevance. Integrating multi-omics with geospatial modelling and decision-support systems provides a pathway for translating molecular insights into actionable strategies for sustainable soil management and ecosystem restoration in the face of ECs.

K. S. Kiran, M. Elayarajan, S. Suganya et al. · 0 citations

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