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The Influence of the Biometric Parameters on Metallothionein and Metal Level in the Heat-Treated Cytosol of the Whole Soft Tissue of Transplanted Mussels

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Abstract

The influence of the biometric parameters (shell mass, whole soft tissue mass, condition index) on MT and metal levels in the heat-treated cytosol of the whole soft tissue of transplanted mussels was studied over the period of one year. The positive correlation of three metals (Cd, Fe, Zn) with the shell mass indicated to time-dependent increase of their contents. Strong correlation of Mn content with the whole soft tissue mass (r = 0.74, p < 0.0001), and almost identical changes of these two parameters over the year make Mn a good indicator of mussel's condition. As opposed to the other metals, Cu content does not exhibit connection with biometry. On the other hand, MTs are highly influenced by biometry. As much as 65% of their variability could be explained by the changes of the shell mass and the whole soft tissue mass. Consequently, it is difficult to distinguish if the obtained positive correlation between Cd and MTs (r = 0.48, p < 0.05) reflects MT induction by Cd, or Cd accumulation as a result of age-dependent increase of MTs. Due to the strong influence of the biometry on MT level, the whole soft tissue is not considered as the best choice for measuring MTs as a biomarker. Better option would be to isolate a specific tissue that shows indisputable connection between MT induction and metal accumulation.

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Authors and Affiliations

  1. Ruder Bošković Institute, Center for Marine and Environmental Research, 10002, Zagreb, Croatia

    Zrinka Dragun, Biserka Raspor, Marijana Erk, Dušica Ivanković & Jasenka Pavičić

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  1. Zrinka Dragun
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  2. Biserka Raspor
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  3. Marijana Erk
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  4. Dušica Ivanković
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  5. Jasenka Pavičić
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Correspondence to Zrinka Dragun.

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Dragun, Z., Raspor, B., Erk, M. et al. The Influence of the Biometric Parameters on Metallothionein and Metal Level in the Heat-Treated Cytosol of the Whole Soft Tissue of Transplanted Mussels. Environ Monit Assess 114, 49–64 (2006). https://doi.org/10.1007/s10661-006-1077-6

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  • DOI: https://doi.org/10.1007/s10661-006-1077-6

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