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Potential biomarkers of metal toxicity in deep-sea invertebrates - A critical review of the omics data.
Sousa, Cármen S V; Sun, Jin; Mestre, Nélia C.
Afiliação
  • Sousa CSV; Centre for Marine and Environmental Research (CIMA), Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal.
  • Sun J; Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China.
  • Mestre NC; Centre for Marine and Environmental Research (CIMA), Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal. Electronic address: ncmestre@ualg.pt.
Sci Total Environ ; : 175628, 2024 Aug 18.
Article em En | MEDLINE | ID: mdl-39163939
ABSTRACT
Deep-sea mining (DSM) activities are expected to release potentially toxic metal mixtures through the generation of sediment plumes to the marine environment. This may disrupt the normal functioning of biological mechanisms, adversely affecting deep-sea invertebrate organisms. It is thus essential to understand the ecotoxicological effects from these toxic elements in deep-sea organisms and the omics approaches applied to ecotoxicology are seen as promising tools. Here, we provide an overview of the principal biological modifications identified in deep-sea invertebrates when exposed to metals and critically evaluate the current knowledge and discuss which potential biomarkers may be useful after metal exposure. Most of the 50 omics studies on deep-sea invertebrates revised are comparative transcriptomes (n = 41). Forty-three potential biomarker candidates are highlighted from immune system, 46 from cellular metabolism and 29 from oxidative stress. The processes mostly affected by metal toxicity in deep-sea invertebrates are related to innate immune defense; sulfur, chitin, and catabolic metabolism; antioxidation; and detoxification. We acknowledge the current limitations and future perspectives for their uses and emphasize the need to invest in further ecotoxicological studies using the omics approaches.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article