This study assessed heavy metal contamination and ecological and human health implications in waters of mudskipper habitats along the southeastern Bay of Bengal coast, Bangladesh. Concentrations of Cu, Pb, Cd, Cr, Ni, Co, Mn, Zn, and Fe were quantified by atomic absorption spectrophotometry. Nickel had the highest concentration (0.33 mg/L), followed by Co (0.15 mg/L), Pb (0.09 mg/L), Mn (0.06 mg/L), Cd (0.04 mg/L), and Cu and Zn (0.03 mg/L), while Cr and Fe were below detection limits. Significant spatial variation (p < 0.05) indicated contamination linked to maritime activities, agricultural runoff, hatchery effluents, domestic waste, and coastal transport. Correlation, principal component, and cluster analyses revealed co-occurrence patterns consistent with mixed anthropogenic and natural influences. Cu, Pb, Cd, Ni, Co, and Zn were associated with localized human activities, whereas Mn, Fe, and Cr patterns may reflect geochemical inputs, low concentrations, or analytical non-detection. These findings indicate potential source patterns rather than definitive source apportionment. Human health risk assessment identified dermal absorption as the dominant exposure pathway, with children more susceptible than adults. Several hazard quotient and hazard index values exceeded the screening threshold (HI > 1.00), particularly for Cd, Ni, Co, and Mn, indicating possible non-carcinogenic concern. Carcinogenic risk was mainly associated with Cd, Ni, and Pb, although estimates were sensitive to exposure assumptions and cancer slope factors. Overall, the study provides baseline evidence for contamination in mudskipper-associated intertidal waters and supports integrated coastal monitoring programs for water, sediment, and biota along Bangladesh's southeastern coast.
Md. Simul Bhuyan, Vinmoy Mondal, A. Morshed et al.· Marine Pollution Bulletin· 0 citations
ABSTRACT Earth's biodiversity is central to ecosystem health and resilience, providing essential functions and services. The Red Sea is a recognised marine biodiversity hotspot with high endemism and unique environmental conditions that support extensive but poorly resolved biodiversity. Here, we applied metagenomic analyses to sediment samples collected from coastal to deep‐sea environments during the Red Sea Decade Expedition 2022 to characterise biodiversity across the web of life. From a single shotgun assay per sample, this approach simultaneously characterised the sediment microbiome, which amplicon‐based surveys recover only through parallel, targeted assays, and extended detection to higher eukaryotes. Using high‐throughput sequencing, we generated 12.8 billion sequences, revealing taxa covering all domains of life. Although eukaryotic sequences represented only 0.7% of the taxonomically annotated dataset, we managed to identify 679 eukaryotic families. Prokaryotic diversity was high, as expected in a basin‐scale sampling coupled with high sequencing depth, with groups covering a wide functional array. Community structure analyses revealed depth‐driven stratification of open‐ocean benthic microbial communities and latitudinal structuring of coastal benthic eukaryotes. Overall, this dataset provides an empirical reliability–coverage trade‐off with direct consequences for the design of eDNA monitoring programmes targeting conservation‐priority taxa, and clear priorities for taxa specific reference‐database expansion.
Elisa Laiolo, Christopher A. Hempel, Balegh A. Abukabbos et al.· Environmental Microbiology· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.