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Effects of salinity and temperature on in vitro cell cycle and proliferation of Perkinsus marinus from Brazil

Published online by Cambridge University Press:  18 February 2016

FERNANDO RAMOS QUEIROGA*
Affiliation:
Laboratório de Imunologia e Patologia de Invertebrados, Departamento de Biologia Molecular, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba, Campus I, CEP 58051-900, João Pessoa, PB, Brazil
LUIS FERNANDO MARQUES-SANTOS
Affiliation:
Laboratório de Biologia Celular e do Desenvolvimento, Departamento de Biologia Molecular, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba, Campus I, CEP 58051–900, João Pessoa, PB, Brazil
ISAC ALMEIDA DE MEDEIROS
Affiliation:
Laboratório de Farmacologia Cardiovascular, Departamento de Ciências Farmacêuticas, Centro de Ciências da Saúde, Universidade Federal da Paraíba, CEP 58051–900, João Pessoa, PB, Brazil
PATRÍCIA MIRELLA DA SILVA
Affiliation:
Laboratório de Imunologia e Patologia de Invertebrados, Departamento de Biologia Molecular, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba, Campus I, CEP 58051-900, João Pessoa, PB, Brazil
*
* Corresponding author: Laboratório de Imunologia e Patologia de Invertebrados, Departamento de Biologia Molecular, Centro de Ciências Exatas e da Natureza, Universidade Federal da Paraíba – Campus I, 58051–900, João Pessoa, PB, Brazil. Tel: +55 83 32167643. Fax: +55 83 32167787. E-mail: queiroga_fr@hotmail.com

Summary

Field and in vitro studies have shown that high salinities and temperatures promote the proliferation and dissemination of Perkinsus marinus in several environments. In Brazil, the parasite infects native oysters Crassostrea gasar and Crassostrea rhizophorae in the Northeast (NE), where the temperature is high throughout the year. Despite the high prevalence of Perkinsus spp. infection in oysters from the NE of Brazil, no mortality events were reported by oyster farmers to date. The present study evaluated the effects of salinity (5, 20 and 35 psu) and temperature (15, 25 and 35 °C) on in vitro proliferation of P. marinus isolated from a host (C. rhizophorae) in Brazil, for a period of up to 15 days and after the return to the control conditions (22 days; recovery). Different cellular parameters (changes of cell phase's composition, cell density, viability and production of reactive oxygen species) were analysed using flow cytometry. The results indicate that the P. marinus isolate was sensitive to the extreme salinities and temperatures analysed. Only the highest temperature caused lasting cell damage under prolonged exposure, impairing P. marinus recovery, which is likely to be associated with oxidative stress. These findings will contribute to the understanding of the dynamics of perkinsiosis in tropical regions.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Cambridge University Press 2016
Figure 0

Fig. 1. Perkinsus marinus cell types observed in in vitro cultures by light microscopy (pictures A – D) and depicted in flow citometry scatter plot (graphic E). (A) Small trophozoites. Note the peripheral nuclei (n), the large vacuole (v) containing a droplet (d) and the granules in the cytoplasm (g). (B) Large trophozoite. (C) Schizont releasing small trophozoites (t). (D) Cluster of sibling trophozoites. All micrograph bars = 10 µm. (E) Representative flow cytometry scatter plot of P. marinus cell populations. Dashed lines show the limits of considered intervals for small, medium and large (SM, ME and LA, respectively) cell size (FSC – log scale) and low, moderate and high (LO, MO and HI, respectively) granularity (SSC – log scale). Circles show the positions of Populations 1–4. Arrows indicate possible associations between the cell types observed by light microscopy and populations detected by flow citometry.

Figure 1

Fig. 2. Density plot of Perkinsus marinus cells maintained at 5, 20 and 35 psu (columns) at different times (24, 48 h, 7 days, 15 days and in the recovery; rows). The x-axis indicates cell size (FSC), and the y-axis indicate cell granularity (SSC), both in log scale. Ten thousand events are represented at each cytogram. Numbers (1, 2, 2A, 2B, 3 and 4) indicate different cell populations.

Figure 2

Table 1. Proportions (%) of Perkinsus marinus cell populations (Pop; 1, 2, 2A, 2B, 3 and 4) after culture at 5, 20 and 35 psu at different times (24h, 48 h, 7 days, 15 days and in the recovery). Data are reported as mean ± s.e. –  Absent population. Superscripted letters A and B refer to populations 2A and 2B, respectively.

Figure 3

Fig. 3. Cell density (A), cell viability (B) and ROS production (C) of Perkinsus marinus cells maintained at 5, 20 and 35 psu. Values are expressed as mean ± standard error. Asterisks indicate significant differences between treatments for each time point (post hoc Bonferroni test; P ⩽ 0·01).

Figure 4

Fig. 4. Density plot of Perkinsus marinus cells maintained at 15, 25 and 35 °C (columns) at different times (24, 48 h, 7 days, 15 days and in the recovery; rows). The x-axis indicates cell size (FSC), and the y-axis indicates cell granularity (SSC), both in log scale. Ten thousand events are represented at each cytogram. Numbers (1, 2, 3 and 4) indicate different cell populations.

Figure 5

Table 2. Proportions (%) of Perkinsus marinus cell populations (Pop; 1, 2, 3 and 4) after culture at 15, 25 and 35 °C at different times (24 h, 48 h, 7 days, 15 days and in the recovery). Data are reported as mean ± s.e. –  Absent population.

Figure 6

Fig. 5. Cell density (A), cell viability (B) and ROS production (C) of Perkinsus marinus cells maintained at 15, 25 and 35 °C. Values are expressed as mean ± standard error. Asterisks indicate significant differences between treatments for each time point (post hoc Bonferroni test; P ⩽ 0·01).