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Toxicity of marine pollutants on the ascidian oocyte physiology: an electrophysiological approach

Published online by Cambridge University Press:  13 December 2017

Alessandra Gallo*
Affiliation:
Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy.
*
All correspondence to: Alessandra Gallo, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy. Tel: +39 0815833233. Fax +39 0817641355. E-mail: alessandra.gallo@szn.it
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Summary

In marine animals with external fertilization, gametes are released into seawater where fertilization and embryo development occur. Consequently, pollutants introduced into the marine environment by human activities may affect gametes and embryos. These xenobiotics can alter cell physiology with consequent reduction of fertilization success. Here the adverse effects on the reproductive processes of the marine invertebrate Ciona intestinalis (ascidian) of different xenobiotics: lead, zinc, an organic tin compound and a phenylurea herbicide were evaluated. By using the electrophysiological technique of whole-cell voltage clamping, the effects of these compounds on the mature oocyte plasma membrane electrical properties and the electrical events of fertilization were tested by calculating the concentration that induced 50% normal larval formation (EC50). The results demonstrated that sodium currents in mature oocytes were reduced in a concentration-dependent manner by all tested xenobiotics, with the lowest EC50 value for lead. In contrast, fertilization current frequencies were differently affected by zinc and organic tin compound. Toxicity tests on gametes demonstrated that sperm fertilizing capability and fertilization oocyte competence were not altered by xenobiotics, whereas fertilization was inhibited in zinc solution and underwent a reduction in organic tin compound solution (EC50 value of 1.7 µM). Furthermore, fertilized oocytes resulted in a low percentage of normal larvae with an EC50 value of 0.90 µM. This study shows that reproductive processes of ascidians are highly sensitive to xenobiotics suggesting that they may be considered a reliable biomarker and that ascidians are suitable model organisms to assess marine environmental quality.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2017 
Figure 0

Figure 1 Organic tin compound and phenylurea effects on C. intestinalis fertilization. Fertilization rate (A) and percentage of normal larvae (B, C) obtained after fertilization in organic tin compound and phenylurea DCMU solutions, respectively. Solid circles represent the mean of 10 experiments, and the solid line indicates the fit of the experimental data to the logistic model. Error bars indicate the standard deviation (SD).

Figure 1

Figure 2 Organic tin compound and phenylurea effects on C. intestinalis larval development. (A) Normal larvae at 24 h post fertilization developed from oocytes fertilized in NSW. (B) Embryo developed in organic tin solution arrested at different developmental stages. Abnormal larvae developed from oocytes fertilized in organic tin (C) and the phenylurea DCMU (D) solution at different concentrations showing various degrees of malformations such as abnormal heads and stunted and coiled tails. Bar represents 100 µm.

Figure 2

Figure 3 Effect of xenobiotics on C. intestinalis oocyte Na+ current. Na+ current amplitude after 30 min exposure of oocytes to different concentrations of lead (A), zinc (B), organic tin compound (C) and phenylurea DCMU (D). Solid circles represent the mean of replicates for all treatments, and the solid line indicates the fit of the experimental data to the logistic model. Error bars indicate the standard deviation (SD).

Figure 3

Figure 4 Organic tin compound effect on C. intestinalis fertilization current (FC). The frequency of FC recorded in oocytes after 30 min exposure to different concentrations of organic tin compound was reduced in a concentration-dependent manner. Solid circles represent the mean of replicates for all treatments, and the solid line indicates the fit of the experimental data to the logistic model. Error bars indicate the standard deviation (SD).