4.7 Article

Interactive effects of nutrition, reproductive state and pollution on molecular stress responses of mussels, Mytilus galloprovincialis Lamarck, 1819

期刊

MARINE ENVIRONMENTAL RESEARCH
卷 131, 期 -, 页码 103-115

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.marenvres.2017.08.011

关键词

Mussel watch; Confounding factors; Reproductive cycle; Nutrition; mRNA expression; Petroleum hydrocarbons

资金

  1. BIOCOM Project (Spanish Ministry of Economy and Competitiveness) [CTM2012-30737]
  2. National Science Foundation [556 IOS-095107]
  3. UNC Charlotte's Faculty Research Grant
  4. Spanish Institute of Oceanography, Program of Research Training

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Marine bivalves including mussels Mytilus galloprovincialis are commonly used as sentinels for pollution monitoring and ecosystem health assessment in the coastal zones. Use of biomarkers to assess the pollution effects assumes that the effects of pollutants on the biomarkers exceed the natural background variability; yet this assumption has rarely been tested. We exposed mussels at different reproductive stages and nutritive states to two concentrations of a polycyclic aromatic hydrocarbon (fluoranthene, 3 and 60 mu g L-1) for three weeks. Expression levels of the molecular biomarkers related to the detoxification and general stress response [cytochrome P450 oxidase (CYP450), glutathione S-transferases (GST-alpha; GST-S1; GST-S2), the multixenobiotic resistance protein P-glycoprotein (PgP), metallothioneins (MT10 and MT20), heat shock proteins (HSP22, HSP70-2; HSP70-3; HSP70-4), as well as mRNA expression of two reproduction-related genes, vitellogenin (Vitel) and vitelline coat lysin M7 (VCLM7)] were measured. The mussels' nutrition and reproductive state affected the baseline mRNA levels of molecular biomarkers and modulated the transcriptional responses of biomarker genes to the pollutant exposure. Thus, mussel physiological state could act as a confounding factor in the evaluation of the response of pollution through molecular biomarkers. The biomarker baseline levels must be determined across a range of physiological states to enable the use of biomarkers in monitoring programs. (C) 2017 Elsevier Ltd. All rights reserved.

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