1. Development of a multiple-biomarker approach using the green-lipped mussel Perna viridis for marine pollution monitoring: a case study in Victoria Harbour, Hong Kong.
- Author
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Leung RK, Jin L, Kong HK, Su C, Ren X, Liu X, Wang Y, Hu M, Kwok KWH, Wu RSS, Chui AP, and Fang JK
- Subjects
- Animals, Hong Kong, Metals, Heavy analysis, Seasons, Perna, Environmental Monitoring methods, Water Pollutants, Chemical analysis, Biomarkers analysis
- Abstract
Pollutants often exist as mixtures in environmental settings, creating a challenge in selecting the most effective combination of biomarkers for routine monitoring. This study was conducted seasonally in Victoria Harbour, Hong Kong, to compare the responses of nine biomarkers in the green-lipped mussel Perna viridis with respect to its tissue levels of persistent organic pollutants and heavy metals. Multivariate statistical techniques were utilised to determine the single best predictor and optimal subset of biomarkers in P. viridis for each of the four scenarios: representing overall biomarker responses in the dry season, and wet season, as well as correlating tissue levels of mixed pollutants in the dry season, and wet season. Our findings recommend lysosomal destabilisation, and the nucleic acid ratio of RNA to DNA, as the core biomarkers in P. viridis for marine pollution monitoring. The non-specificity of these biomarkers allows effective identification of pollution hotspots and guides further detailed assessment., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)
- Published
- 2024
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