Research article
Open Access

Differential expression of the heat shock protein Hsp70 in natural populations of the tilapia, Sarotherodon melanotheron, acclimatised to a range of environmental salinities

  • Mbaye Tine1, 2, 3Email author,
  • François Bonhomme1,
  • David J McKenzie1 and
  • Jean-Dominique Durand2
BMC Ecology201010:11

https://doi.org/10.1186/1472-6785-10-11

©  Tine et al; licensee BioMed Central Ltd. 2010

Received: 17 June 2009

Accepted: 29 April 2010

Published: 29 April 2010

Abstract

Background

The relationship between environmental variation and induction of heat shock proteins (Hsps) has been much documented under experimental conditions. However, very little is known about such induction in natural populations acclimatised to prevailing environmental conditions. Furthermore, while induction of stress proteins has been well documented in response to environmental contaminants and thermal stressors, little is known about whether factors, such as extreme salinity, are also potential inductors. The black-chinned tilapia Sarotherodon melanotheron is unusual for its ability to colonise estuarine environments in West Africa that are characterised by extremely high salinities. The relationships between mRNA levels of the 70 kDa heat shock protein (Hsp70) and Na+, K+-ATPase1α (Naka) in the gills, environmental salinity, and a life-history trait (condition factor) were investigated in wild populations of this species sampled from three locations in the Saloum estuary, at salinities ranging from 40 to 100 psu.

Results

The highest Hsp70 and Naka mRNA levels, and the poorest condition factors were recorded in the most saline sampling site (100 psu). The Hsp70 and Naka mRNA were correlated amongst themselves and showed a direct positive correlation with environmental salinity, and a negative correlation with fish condition factor. Thus, the Hsp70 is constitutively overexpressed by S. melanotheron acclimatised to extreme hypersalinity.

Conclusions

These results indicate that, although S. melanotheron can colonise extremely saline environments, the overexpression of Hsp70 combined with the higher Naka mRNA expression reveals that this represents a chronic stress. The induction of Hsp70 was, therefore, a biomarker of chronic hyper-osmotic stress which presumably can be linked to the impaired growth performance and precocious reproduction that have been demonstrated in the populations at the extremely saline sites.

Background

The molecular family of heat shock proteins (Hsps) has been intensively studied in model organisms such as Xenopus and Drosophila submitted to stress in the laboratory [1–3] and, consequently, the physiological role of these proteins is becoming well understood at molecular and cellular levels in these models. The Hsps, in particular the 70 kDa (Hsp70) family, are constitutively expressed in cells under normal (non stressful) conditions and function as molecular chaperones, to keep other proteins from forming inappropriate aggregations. Aside from this function, Hsps are also implicated in the general protection of stressed cells and organisms [4, 5]. Many studies have reported that exposure of organisms to such diverse stressors as temperature extremes, pollutants, anoxia, parasitism, predation, or competition; all elicit reversible increases in Hsp70 expression that serve to protect the organism against cellular damage [6–9]. The involvement of Hsp70 in the acclimation of fish to salinity changes has also been well documented experimentally [10, 11]. In the silver sea bream, Sparus sarba [12], branchial expression of Hsp70 is increased in response to hypo- or hyper-osmotic shock.

It has been shown that increases in basal Hsp70 levels in stressful environments can be associated with reduced individual fitness [2]. This association of Hsp induction with fitness has been demonstrated for traits of development, growth and reproduction [13–15]. In Drosophila melanogaster, heat shock stress results in developmental defects and increased copy numbers of the gene encoding Hsp70 [16]. Higher muscle Hsp70 levels have been associated with lower growth rates in the Indo-Pacific sergean, Abudefduf vaigiensis, adapted to 32°C by comparison to those living at 28°C [17]. In the silver sea bream, S. sarba, the activity and mRNA levels of Hsp70 are lower around isoosmotic salinities, where the best growth performance is observed [12]. The Hsp70 may, therefore, provide a biomarker to identify stressful effects of environmental factors and to demonstrate a link between such factors and observed negative changes in life history traits of natural populations.

Another indicator of osmoregulatory challenges in fish is the sodium-potassium ATPase (Na+, K+-ATPase), a membrane protein which maintains ion gradients required for cell homeostasis and whose activity in the gills is related to either active ion secretion in hyper-osmotic conditions or active uptake in hypo-osmotic conditions [18–20]. Several in vitro studies have shown substantial correlations between environmental salinity and expression and/or activity of Na+, K+-ATPase (Naka) in teleost fish [21–26]. In the tilapia Oreochromis mossambicus, the activity of Naka has been used as a biochemical indicator of osmoregulatory stress [27]. Therefore, the induction of Naka can be used to assess the osmoregulatory status of fish in natural environments where salinity is the predominant abiotic stressor.

The black-chinned tilapia S. melanotheron has populations in the Saloum estuary in West Africa which experience salinities that range from brackish water to extremely hypersaline water (up to 130 psu), and where salinity can show considerable variations between wet and dry seasons [28]. Previous studies have shown that individuals inhabiting the highest salinities exhibit reduced growth rates [29, 30] and precocious reproduction [30]. Although these phenotypic differences have been interpreted as indicative of hypersaline stress, this remains to be demonstrated.

In a previous study [31], multiple copies (singletons) of a gene encoding Hsp70 [ES882219] and Naka [ES881735] were isolated in a hypersaline SSH library created from gills of S. melanotheron acclimatised either to hypersaline water or to freshwater. Accordingly, Tine et al. [31] proposed that these genes must be indicators of the stressful effects of salinity on this species. The aim of this study was, therefore, to evaluate gill Hsp70 induction as a biomarker of constitutive organismal stress in natural populations of S. melanotheron sampled from environments with salinities ranging from 40 to 100 psu. Gill Naka expression levels were measured in parallel, as an indicator of the osmoregulatory status of the populations. The same sampling sites have previously been studied for the effects of salinity on life history traits and induction of osmoregulatory genes (growth hormone and prolactin) in S. melanotheron [29, 30]. The relative expression of Hsp70 and Naka mRNA was quantified by real time PCR. The condition factor of the fish was also measured, as a proxy of physiological status [29, 30].

Results

Branchial abundance of Hsp70 and Naka mRNA

The rt-PCR analysis showed that the two primer pairs amplified a simple specific product with an efficiency of 1.95 for Hsp70, 1.91 for Naka and 1.89 for β-actin. We therefore calculated relative abundance to correct for the differences in efficiency. A significant impact of salinity on Hsp70 relative expression was observed within the Saloum estuary, fish sampled at the upstream location with highest salinity (Kaolack) had higher Hsp70 mRNA levels than fish sampled in less saline stations (Foundiougne and Missirah) (Figure 1). The amounts of Hsp70 mRNA were not different between Foundiougne and Missirah. The Naka mRNA levels exhibited a pattern similar to Hsp70 between locations, being highest at the most saline station, Kaolack, but lowest at the least saline location of Missirah (Figure 1). Where the salinity was intermediate, at Foundiougne, there were intermediate Naka mRNA levels.
Figure 1

Hsp70 and Naka mRNA levels of the black-chinned tilapia S. melanotheron from three locations of the Saloum estuary. Data are illustrated in box plots that contained the median (horizontal line) as well as the 25th and 75th percentiles (bottom and top edges of the boxes). The mRNA expression levels represent the relative expression normalized to β-actin and are expressed relative expression as log2-transformed data.

Condition factor

The average condition factor (K) varied significantly between sites and salinities (Figure 2). Fish caught in Kaolack, the most saline location, had the lowest condition, significantly lower than at Missirah, the least saline location, where the best condition was recorded. Salinity at Foundiougne was intermediate, with no significant difference from the other two sites.
Figure 2

Condition factor of the black-chinned tilapia S. melanotheron from three locations of the Saloum estuary. Data are illustrated in box plots (in log2) that contained the median (horizontal line) as well as the 25th and 75th percentiles (bottom and top edges of the boxes).

Correlations between Salinity, mRNA levels and condition factor

The results show significant relationships between environmental salinity and the relative expression of Hsp70 and Naka or condition factor. There was a significant positive correlation between salinity and relative expression of Hsp70 (R2 = 0.764; P < 0.001) or Naka (R2 = 0.855; P < 0.001), and a negative correlation of condition factor to salinity (R2 = 0.415; P < 0.001). There was a significant positive correlation between Hsp70 and Naka relative expression (R2 = 0.727; P < 0.001) (Figure 3), and a negative relationship between condition factor and relative expression of Hsp70 (R2 = 0.241; P < 0.001) or Naka (R2 = 0.352; P < 0.001) (Figure 4).
Figure 3

Relationship between mRNA expression levels of Hsp70 and Naka (Y = 0.994X + 2.204; R 2 = 0.727; P < 0.001). The mRNA expression levels represent the relative expression normalized to β-actin and are expressed relative expression as log2-transformed data.

Figure 4

Relationship between condition factor and mRNA expression levels of Hsp70 (Y = -10.665X + 12.447; R 2 = 0.241; P < 0.001) or Naka (Y = -11.053X + 10.623; R 2 = 0.352; P < 0.001). The mRNA expression levels represent the relative expression normalized to β-actin and are expressed relative expression as log2-transformed data.

Discussion

The Sahelian area of West African is characterized by an extended dry season from November to June, and a short dry season from July to October. In the Senegalese Saloum estuary, salinity levels change between these two seasons [28, 32]. The salinity in the estuary decreases during the rainy season due to the input of freshwater by precipitation. In the dry season, however, the salinity increases because of intense evaporation [33]. The fish analysed in this study were collected at the end of the dry season (end of May) when the salinity in the estuary will have been stable for some months. Furthermore, it has been demonstrated that populations of S. melanotheron do not undertake large scale movements in the estuaries [34]. Therefore, it is reasonable to consider that fish were acclimatized to the prevailing salinity conditions at the time of collection.

It is, of course, not just salinity that can elicit the induction of stress proteins, but also thermal stressors, oxygen depletion and environmental contaminants [5, 35–37]. Previous studies conducted in the Saloum estuary have shown that the water temperature varies only slightly between locations, and that dissolved oxygen is not a limiting factor for the black-chinned tilapia in these areas [29, 33, 38]. Water turbidity cannot explain overexpression at the hypersaline Kaolack location because it is much more turbid at the estuary mouth than in the upper part of the estuary during the dry season [33]. A heavily polluted location (Hann Bay, 38 psu) [39] did not have higher Hsp70 expression levels than at an unpolluted site with similar salinity (Missirah) (see Additional file 1), indicating that differences in pollutant load did not contribute to differential expression. Variations in salinity are therefore the most dominant environmental factor in the Saloum estuary, and salinity is the predominant abiotic stressor.

The present study demonstrates significant correlations between Hsp70 and Naka expression, environmental salinity and condition factor in natural populations of S. melanotheron. The overexpression of Hsp70 and Naka of the fish living in hypersaline conditions correlates significantly with their lower condition factor.

Osmoregulatory role of Hsp70

If the mRNA levels indicate differences in functionally active proteins, the correlation between Hsp70 expression and salinity might reflect a direct role of the stress protein in salinity tolerance by black-chinned tilapia. This is in agreement with the correlations between salinity and the relative expression of Hsp70 and Naka, and with several in vitro studies, where increased NaCl resulted in high Hsp70 induction [11, 40, 41]. Studies recently conducted in the silver sea bream, Sparus sarba [12] and the brown trout, Salmo trutta [10] have shown concomitant increases in Hsp70 and Naka mRNA levels in response to hyperosmotic stress. The increase in Hsp70 was attributed to a role of this protein in avoiding protein disruption and damage [12]. This function of Hsp70 would explain its overexpression in fish living at the extremely hypersaline site (Kaolack, 100 psu). However, our results did not show a significant difference between the fish living in salinity approaching seawater (40 psu) versus relatively hypersaline water (60 psu), suggesting the existence of a threshold for salinity stress and therefore Hsp70 overexpression. It has been shown in the black sea bream S. sarba that three genes of the Hsp70 family (Hsp70, Hsc70 and Hsf1) were up-regulated in the gills at a salinity of 33 psu, and exhibited an even higher expression in hypersaline water at 55 psu [42]. This was interpreted as a threshold for salt tolerance by the gill in this species which, once exceeded, caused an activation of stress proteins to prevent cell damage. In the black-chinned tilapia, the threshold of salinity tolerance for a significant activation of stress protein appears to be located beyond 60 psu.

Ecological and evolutionary importance of Hsp70 in S. melanotheron

Studies in various model organisms have indicated reduced fitness in stressful conditions, which could be directly attributed to the metabolism of stress proteins themselves. That is, the expenditure of more energy on protection by stress protein synthesis would deviate energy from development, growth and reproduction [2]. Consistent with this hypothesis, modified Drosophila cells continuallyexpressing Hsp70 have reduced growth compared to control cells, but subsequently resume normal growth if the Hsp70 is isolated from the cytoplasm [4, 5, 43]. This may, at least in part, explain why the lowest condition factor occurred in the fish from the most saline location (Kaolack, 100 psu) where the expression levels of Hsp70 were highest. Previous studies have shown that the same species from the Kaolack location of the Saloum estuary had reduced growth, poor condition factors, precocious reproduction and lower fecundities compared with the less saline sampling locations [29, 30]. The decline in these life history traits in this area could reflect a high energy requirement to meet the increased energetic demands for osmoregulation, in particular the increased expression and activity of ion pumps including the Naka. Although it is not simple to establish direct relationships between the Hsp70 induction and the fish condition without performing common garden experiments, these impaired growth and poor condition factors could also reflect a high energy requirement for synthesis of proteins needed for the survival at higher salinities [44]. It has also been suggested that, at high concentrations, stress proteins could be toxic and therefore alter or interfere with the normal cellular functions, notably cell growth and development [45]. Therefore, in addition to the energy costs of Hsp synthesis, toxic effects of high Hsp concentrations could also contribute to differences in growth and condition factors observed between populations of S. melanotheron inhabiting the Saloum estuary.

There is, of course, the possibility that differences in growth among populations reflect differences in resources at the sites. In others words, food resources could be more abundant in the environments with lowest salinities. It is also possible that individuals are more effective at foraging when they are not stressed by salinity, and/or that they are more efficient at assimilating nutrients from their prey. These individuals may be able to invest more in growth and reproduction than their counterparts living in hypersaline zones with less energy available for normal biological functions. In this study we do not have measures of food availability, but the opportunistic nature of this species, an omnivore that can exploit many food sources, may indicate that food is not limiting in hypersaline zones of the Saloum estuary.

If the variation of a trait has a genetic basis and affects the fitness of individuals, the variation among populations in Hsp70 expression in this study may reflect an action of natural selection. The large spatial and temporal differences of salinity in the environments inhabited by S. melanotheron, associated with the central role Hsp70 may play in salinity tolerance, makes this gene a potential target for the local selection in this species. The salinity in the Saloum estuary is not only significantly higher at Kaolack location, but the seasonal variations are also larger, with amplitudes that can exceed 70 psu [28]. Interestingly, another member of Hsps family, the Hsc70 locus has recently been demonstrated to be polymorphic in natural populations of the European flounder, Platichthys flesus, inhabiting environments with different salinities [46]. Although this polymorphism has been suggested to arise from the action of natural selection at this locus, the authors were unable to say which of three environmental factors (salinity, temperature or pollution) might be responsible and whether the polymorphism was associated with variation in Hsc70 expression and/or activity. In our study, salinity is clearly a potential selective agent which could be responsible for differences in Hsp70 expression in S. melanotheron, but further analyses of polymorphism in the regulatory regions are required to establish whether there are adaptive polymorphisms at this locus.

Conclusion

This study provides the first demonstration, in wild fish populations, that Hsp70 is involved in long-term acclimatisation to a salinity range between 40 and 100 psu. The data demonstrate that the most hypersaline conditions were stressful for S. melanotheron. This chronic stress may be responsible for the impaired growth, precocious reproduction and low fecundity observed at these sites [29, 30]. These negative impacts on life history traits may reflect a high energy requirement for osmoregulation and synthesis of proteins needed for the survival at high salinities rather than limited food resources or lower feeding efficiency. The significant correlation of Hsp70 mRNA levels with fish condition suggests that this gene may be a potential biomarker of fish health in estuarine environments. Investigating the activity of Hsp70 and the mechanisms which regulate its expression in wild population of S. melanotheron are interesting topics for future research.

Methods

Sampling design

Samples of the black-chinned tilapia Sarotherodon melanotheron were collected in May 2006, at the end of the dry season (May) when salinity was relatively stable. Three locations of the Saloum estuary were considered (Figure 5). In this estuary, the locations were respectively Kaolack (the most saline station; 100 psu), Foundiougne (60 psu) and Missirah (40 psu). For each location, the salinity and temperature (Table 1) were measured in situ with a refractometer and a thermometer, respectively. Fish sampling was carried out by a local fisherman using castnets with small mesh sizes. To limit fish stress and prevent variability due to manipulation, only five fish were sampled from each castnet thrown. Fish were quickly removed from castnets and anesthetised in 2-phenoxyethanol (2.5 ml l-1) before measures of length (fork length, FL, in mm) and mass (total mass, W, in g). Fish were then killed by rapid decapitation and sex as well as gonad maturity stage recorded according to Legendre and Ecoutin [47]. Gills were extracted and stored in RNA later (Ambion) at 4°C for 24 h and then at -20°C until processing.
Figure 5

Sampling locations (black star) of the black-chinned tilapia Sarotherodon melanotheron in Saloum estuary (Senegal). Fish were collected in May 2006, at the end of the dry season when the most hypersaline conditions were observed in the Saloum estuary. Values in parentheses represent the salinity.

Table 1

Sample characteristics of the black-chinned tilapia Sarotherodon melanotheron from three wild populations acclimatized to different environmental salinities.

Station

Salinity (psu)

WT (°C)

Sample size

FL range (mm)

W range (g)

Sexe-sexual stage

Missirah

40

28

10

123-160

40.6-84.8

♂-1 (1); ♂-2 (4); ♀-2 (5)

Foundiougne

60

28

10

122-144

39.0-52.2

♂-1 (6); ♀-1 (1); ♀-2 (3)

Kaolack

100

26

10

123-138

32.7-50.6

♂-1 (2); ♂-2 (3); ♀-2 (5)

WT: water temperature; FL: fork length; W: weight. The symbols, (♂, ♀) represent males and females, respectively and the numbers at the side represent the sexual stage. The values in brackets indicate the numbers of individuals analysed for each sex/sexual stage.

Condition factor is a morphometric index frequently used to evaluate physiological status of fish based on the principle that those individuals of a given length which have a higher mass are in better "condition". Assuming that this relationship holds for wild populations, the inter population variation of this index was taken as an indicator of the negative physiological impacts of salinity. The condition factor could be influenced by differences in size or sexual stage. For this reason we performed preliminary analyses which allowed excluding the mature individuals (stages 4 and 5) whose sexual stage seemed to have an influence on the condition factor. Finally, only size classes between 120 and 160 mm fork length with sexual stage 1 or 2, corresponding to immature individuals were analysed (Table 1). Condition factor (K) was calculated using the standard formula: K = 105W FL-3; where W is the total body mass and LF is fork length.

Total RNA extraction and reverse transcription

Total RNA was extracted from gill tissues stored in RNA later (Ambion) using Trizol reagents (Gibco BRL) following the manufacturer's instructions. The RNA concentrations were determined with a spectrophotometer and the RNA integrity was verified by 1% agarose gel electrophoresis. The first strand cDNA was synthesised by reverse transcribing 2 μg total RNA in 20 μL of reaction volume, using MMLV Reverse Transcriptase kit, according to the manufacturer's instructions (Invitrogen).

Real-time PCR analysis of gene expression

Real-time PCR analysis was used to determine whether changes in selected RNA abundance could be detected from gills sampled from four populations of S. melanotheron. Specific primers for the heat shock protein (Hsp70) (Hsp70 F: 5'-ATTGGGTTGCACACCTTCTC-3'; Hsp70 R: 5'-TGGACAAGTGCAATGAGGTC-3'), Na+, K+-ATPase (Naka) (Naka F: 5'-ATGAGAAAGCTGAGAGCGAC-3'; Naka R: 5'-GGCCTGCATCATACCAATCT-3') and β-actin (β-actinF: 5'-ACAGGTCCTTACGGATGTCG-3'; β-actinR: 5'-CTCTTCCAGCCTTCCTTCCT-3') were designed using Primer 3 software. To determine rt-PCR efficiency of each primer pair used, standard curves were generated using five serial dilutions (1, 1/10, 1/50, 1/100, 1/500) of a unique cDNA sample constituted of a pool of 3 cDNA from each population to be analysed. The rt-PCR quantification was performed on a LightCycler (Roche molecular Biomedicals). Each rt-PCR reaction was conducted in duplicate with an initial denaturation step of 900 s at 95°C followed by an amplification of the target cDNA (40 cycles of denaturation at 95°C for 15 s, annealing between 54°C and 55°C for 15 s, and extension time at 72°C for 15 s). The intra assay variability of rt-PCR was evaluated by calculating the coefficients of variation between duplicates that were all inferior to 10%. Real-time PCR efficiencies (E) were calculated from the given slope of the standard curve according the equation E = 10(-1/slope). The results are presented here as changes in relative expression normalised to the reference gene, β-actin (a gene for which the mRNA abundance in the gills does not change depending on the salinity conditions), using the 2-(ΔΔCt) method described by Pfaffl [48]. β-actin is generally used as a housekeeping gene as well as the 18S RNA, elongation factor 1α (EF 1α) and the GAPDH. We have tested both β-actin and EF 1α and finally chose β-actin as a reference gene because its mRNA levels did not change between our samples.

Statistical analysis

Condition factor and, Hsp70 and Naka expression data at each site were expressed as box plots that contained the median as well as the 25th and 75th percentiles. For each of these variables, a Kruskal-Wallis non-parametric test was performed to reveal differences in means between populations. The Mann-Whitney U-test was performed as a post-hoc test. Taking all the individual data from the sites, the strength of the correlations between mRNA levels, environmental salinity and condition factor were assessed by Spearman's rank test. These tests were performed with R or STATISTICA software's. For all tests, a probability of less than 5% (P < 0.05) and a confidence of 95% are considered as fiducial level of significance.

Declarations

Acknowledgements

We are grateful to Justin Kantoussan for his valuable help in the statistical analysis, Julien de Lorgeril and Heiner Kuhl for their helpful discussion about this study. We also thank two anonymous referees for their constructive criticism of previous versions of this article.

Authors’ Affiliations

(1)
Station Méditerranéenne de l'Environnement Littoral, Biologie Intégrative ISEM CNRS-UMR 5554 (Université Montpellier II)
(2)
Institut de Recherche pour le Développement (IRD), UMR 5119 ECOLAG, campus IRD/ISRA de Bel Air
(3)
Max Planck Institute for Molecular Genetics

References

  1. Sørensen JG, Loeschke V: Studying stress responses in the post-genomic era: its ecological and evolutionary role. Journal of Biosciences. 2007, 32: 447-456. 10.1007/s12038-007-0044-x.View ArticlePubMedGoogle Scholar
  2. Sørensen JG, Kristensen TN, Loeschcke V: The evolutionary and ecological role of heat shock proteins. Ecology Letters. 2003, 6: 1025-1037. 10.1046/j.1461-0248.2003.00528.x.View ArticleGoogle Scholar
  3. Feder ME, Hofmann GE: Heat-shock proteins, molecular chaperones, and the stress response: evolutionary and ecological physiology. Annual Review Physiology. 1999, 61: 243-282. 10.1146/annurev.physiol.61.1.243.View ArticleGoogle Scholar
  4. Basu N, Todgham AE, Ackerman PA, Bibeau MR, Nakano K, Schulte PM, Iwama GK: Heat shock protein genes and their functional significance in fish. Gene. 2002, 295: 173-183. 10.1016/S0378-1119(02)00687-X.View ArticlePubMedGoogle Scholar
  5. Iwama GK, Vijayan MM, Forsyth RB, Ackerman PA: Heat Shock Proteins and Physiological Stress in Fish. American Zoologist. 1999, 39: 901-909.View ArticleGoogle Scholar
  6. Taleb M, Brandon CS, Lee F-S, Lomax MI, Wolfgang H, Dillmann WH, Cunningham LL: Hsp70 inhibits aminoglycoside-induced hair cell death and is necessary for the protective effect of heat shock. Journal of the Association for Research in Otolaryngology. 2008, 9: 277-289. 10.1007/s10162-008-0122-2.PubMed CentralView ArticlePubMedGoogle Scholar
  7. Padmini E, Rani MU: Impact of seasonal variation on HSP70 expression quantitated in stressed fish hepatocytes. Comparative Biochemistry and Physiology Part B. 2008, 151: 278-285. 10.1016/j.cbpb.2008.07.011.View ArticleGoogle Scholar
  8. Lau SS, Griffin TM, Mestril R: Protection against endotoxemia by HSP70 in rodent cardiomyocytes. American Journal of Physiology, Heart and Circulatory Physiology. 2000, 278: 1439-1445.Google Scholar
  9. Fishelson Z, Hochman I, Greene LE, Eisenberg E: Contribution of heat shock proteins to cell protection from complement-mediated lysis. International Immunology. 2001, 13: 983-991. 10.1093/intimm/13.8.983.View ArticlePubMedGoogle Scholar
  10. Larsen PF, Nielsen EE, Koed A, Thomsen DS, Olsvik PA, Loeschcke V: Interpopulation differences in expression of candidate genes for salinity tolerance in winter migrating anadromous brown trout (Salmo trutta L.). BMC Genetics. 2008, 9: 1-9. 10.1186/1471-2156-9-12.View ArticleGoogle Scholar
  11. Smith TR, Tremblay GC, Bradley TM: Hsp70 and a 54 kDa protein (Osp54) are induced in salmon (Salmo sala r) in response to hyperosmotic stress. Journal of Experimental Zoology. 1999, 284: 286-298. 10.1002/(SICI)1097-010X(19990801)284:3<286::AID-JEZ6>3.0.CO;2-J.View ArticlePubMedGoogle Scholar
  12. Deane EE, Woo NYS: Differential gene expression associated with euryhalinity in sea bream (Sparus sarba). American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 2004, 287: 1054-1063.View ArticleGoogle Scholar
  13. Silbermann R, Tatar M: Reproductive costs of heat shock protein in transgenic Drosophila melanogaster. Evolutionary Ecology. 2000, 54: 2038-2045.Google Scholar
  14. Feder ME, Blair N, Figueras H: Natural thermal stress and heat-shock protein expression in Drosophila larvae and pupae. Functional Ecology. 1997, 11: 90-100. 10.1046/j.1365-2435.1997.00060.x.View ArticleGoogle Scholar
  15. Feder ME, Cartano NV, Milos L, Krebs RA, Lindquist SL: Effect of engineering Hsp70 copy number on Hsp70 expression and tolerance of ecologically relevant heat shock in larvae and pupae of Drosophila melanogaster. Journal of Experimental Biology. 1997, 119: 1637-1844.Google Scholar
  16. Roberts SP, Feder ME: Natural hyperthermia and expression of the heat shock protein Hsp70 affect developmental abnormalities in Drosophila melanogaster. Oecologia. 1999, 121: 323-329. 10.1007/s004420050935.View ArticleGoogle Scholar
  17. Nakanoa K, Takemura A, Nakamura S, Nakano Y, Iwama GK: Changes in the cellular and organismal stress responses of the subtropical fish, the Indo-Pacific sergeant, Abudefduf vaigiensis, due to the 1997-1998 El Nino/Southern Oscillation. Environmental Biology of Fishes. 2004, 70: 321-329. 10.1023/B:EBFI.0000035425.08566.9f.View ArticleGoogle Scholar
  18. Marshall WS, Bryson SE: Transport mechanisms of seawater teleost chloride cells: An inclusive model of a multifunctional cell. Comparative Biochemistry and Physiology Part A. 1998, 119: 97-106. 10.1016/S1095-6433(97)00402-9.View ArticleGoogle Scholar
  19. Sakamoto T, Uchida K, Yokota S: Regulation of the ion-transporting mitochondrion-rich cell during adaptation of teleost fishes to different salinities. Zoological Science. 2001, 18: 1163-1174. 10.2108/zsj.18.1163.View ArticlePubMedGoogle Scholar
  20. Varsamos S, Nebel C, Charmantier G: Ontogeny of osmoregulation in postembryonic fish: a review. Comparative Biochemistry and Physiology Part A. 2005, 141: 401-429. 10.1016/j.cbpb.2005.01.013.View ArticleGoogle Scholar
  21. Bystriansky JS, Richards JG, Schulte PM, Ballantyne JS: Reciprocal expression of gill Na+/K+-ATPase alpha-subunit isoforms alpha1a and alpha1b during seawater acclimation of three salmonid fishes that vary in their salinity tolerance. Journal of Experimental Biology. 2006, 209: 1848-1858. 10.1242/jeb.02188.View ArticlePubMedGoogle Scholar
  22. D'Cotta H, Valotaire C, Le Gac F, Prunet P: Synthesis of gill Na+-K+-ATPase in Atlantic salmon smolts: differences in a-mRNA and a-protein levels. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 2000, 278: 101-110.Google Scholar
  23. Jensen MK, Madsen SS, Kristiansen K: Osmoregulation and salinity effects on the expression and activity of Na+, K(+)-ATPase in the gills of European sea bass, Dicentrarchus labrax (L.). Journal of Experimental Zoology. 1998, 282: 290-300. 10.1002/(SICI)1097-010X(19981015)282:3<290::AID-JEZ2>3.0.CO;2-H.View ArticlePubMedGoogle Scholar
  24. Madsen SS, Jensen MK, Nøhr J, Kristiansen K: Expression of Na+-K+-ATPase in the brown trout, Salmo trutta: in vivo modulation by hormones and seawater. Am J Physiol. 1995, 269: R1339-R1345.PubMedGoogle Scholar
  25. Scott GR, Baker DW, Schulte PM, Wood CM: Physiological and molecular mechanisms of osmoregulatory plasticity in killifish after seawater transfer. Journal of Experimental Biology. 2008, 211: 2450-2459. 10.1242/jeb.017947.View ArticlePubMedGoogle Scholar
  26. Madsen SS, Kiilerich P, Tipsmark CK: Multiplicity of expression of Na+, K+-ATPase {alpha}-subunit isoforms in the gill of Atlantic salmon (Salmo salar): cellular localisation and absolute quantification in response to salinity change. Journal of Experimental Biology. 2009, 212: 78-88. 10.1242/jeb.024612.View ArticlePubMedGoogle Scholar
  27. Sardella BA, Matey V, Cooper J, Gonzalez RJ, Brauner CJ: Physiological, biochemical and morphological indicators of osmoregulatory stress in 'California' Mozambique tilapia (Oreochromis mossambicus × O. urolepis hornorum) exposed to hypersaline water. The Journal of Experimental Biology. 2004, 207: 1399-1413. 10.1242/jeb.00895.View ArticlePubMedGoogle Scholar
  28. Panfili J, Thior D, Ecoutin J-M, Ndiaye P, Albaret J-J: Influence of salinity on the size at maturity for fish species reproducing in contrasting West African estuaries. Journal of Fish Biology. 2006, 69: 95-113. 10.1111/j.1095-8649.2006.01069.x.View ArticleGoogle Scholar
  29. Tine M, de Lorgeril J, Diop K, Bonhomme F, Panfili J, Durand J-D: Growth hormone and Prolactin-1 gene transcription in natural populations of the black-chinned tilapia Sarotherodon melanotheron acclimatised to different salinities. Comparative Biochemistry and Physiology Part B. 2007, 147: 541-549. 10.1016/j.cbpb.2007.03.010.View ArticleGoogle Scholar
  30. Panfili J, Mbow A, Durand J-D, Diop K, Diouf K, Thior D, Ndiaye P, Laë R: Influence of salinity on the life-history traits of the West African black-chinned tilapia (Sarotherodon melanotheron): Comparison between the Gambia and Saloum estuaries. Aquatic Living Resourses. 2004, 17: 65-74. 10.1051/alr:2004002.View ArticleGoogle Scholar
  31. Tine M, de Lorgeril J, D'Cotta H, Pepey E, Bonhomme F, Baroiller JF, Durand J-D: Transcriptional responses of the black-chinned tilapia Sarotherodon melanotheron to salinity extremes. Marine Genomics. 2008, 1: 37-46. 10.1016/j.margen.2008.06.001.View ArticlePubMedGoogle Scholar
  32. Panfili J, Durand J-D, Mbow A, Guinand B, Diop K, Kantoussan J, Thior D, Thiaw OT, Albaret J-J, Laë R: Influence of salinity on life history traits of the bonga shad Ethmalosa fimbriata (Pisces, Clupeidae): comparison between the Gambia and Saloum estuaries. Marine ecology Progress series. 2004, 270: 241-257. 10.3354/meps270241.View ArticleGoogle Scholar
  33. Simier M, Blanc L, Alioume C, Diouf PS, Albaret JJ: Spatial and temporal structure of fish assemblages in an " inverse estuary ", the Sine Saloum system (Senegal). Estary Coastal and Shelf Sciences. 2004, 59: 69-86. 10.1016/j.ecss.2003.08.002.View ArticleGoogle Scholar
  34. Diouf K, Panfili J, Labonne M, Aliaume C, Tomas J, Do Chi T: Effects of salinity on strontium:calcium ratios in the otoliths of the West African black-chinned tilapia Sarotherodon melanotheron in a hypersaline estuary. Environ Biol Fish. 2006, 77: 9-20. 10.1007/s10641-006-9048-x.View ArticleGoogle Scholar
  35. Bauman JW, Liu J, Klaassen CD: Production of metallothionein and heat-shock proteins in response to metals. Fubdamental and Applied Toxicology. 1993, 21: 15-22. 10.1006/faat.1993.1066.View ArticleGoogle Scholar
  36. Currie S, Tufts BL: Synthesis of stress protein 70 (Hsp70) in rainbow trout (Oncorhinchus mykiss) red blood celles. The Journal of Experimental Biology. 1997, 200: 607-614.PubMedGoogle Scholar
  37. Fangue NA, Hofmeister M, Schulte PM: Intraspecific variation in thermal tolerance and heat shock protein gene expression in common killifish, Fundulus heteroclitus. The Journal of Experimental Biology. 2006, 209: 2859-2872. 10.1242/jeb.02260.View ArticlePubMedGoogle Scholar
  38. Albaret J-J, Simier M, Darboe FS, Ecoutin J-M, Rafray J, de Morais LT: Fish diversity and distribution in the Gambia Estuary, West Africa, in relation to environmental variables. Aquatic Living Resourses. 2004, 17: 35-46. 10.1051/alr:2004001.View ArticleGoogle Scholar
  39. Bouvy M, Briand E, Boup MM, Got P, Leboulanger C, Bettarel Y, Arfi R: Effects of sewage discharges on microbial components in tropical coastal waters (Senegal, West Africa). Marine & freshwater research. 2008, 59: 614-626. 10.1071/MF07244.View ArticleGoogle Scholar
  40. Cohen DM, Wasserman JC, Gullans SR: Immediate early gene and HSP70 expression in hyperosmotic stress in MDCK cells. American Journal of Physiology-Cell Physiology. 1991, 261: 594-601.Google Scholar
  41. Cowley BD, Muessel MJ, Douglas D, Wilkins W: In vivo and in vitro osmotic regulation of HSP70 and prostaglandin synthase gene expression in kidney cells. American Journal of Physiology. 1995, 269: 854-862.Google Scholar
  42. Deane EE, Kelly SP, Luk JCY, Woo NYS: Chronic salinity adaptation modulates hepatic heat shock protein and insulin-like growth factor I expression in black sea bream. Marine Biotechnology. 2002, 4: 193-205.PubMedGoogle Scholar
  43. Krebs RA, Feder ME: Hsp70 and larval thermotolerance in Drosophila melanogaster: Howmuch is enough and when is more too much?. Journal of Insect Physiology. 1998, 44: 1091-1101. 10.1016/S0022-1910(98)00059-6.View ArticlePubMedGoogle Scholar
  44. Pace DA, Manahan DT: Cost of protein synthesis and energy allocation during development of antarctic sea urchin embryos and larvae. The Biological Bulletin. 2007, 212: 115-129. 10.2307/25066589.View ArticlePubMedGoogle Scholar
  45. Krebs RA, Feder ME: Deleterious consequences of Hsp70 overexpression in Drosophila melanogaster larvae. Cell Stress Chaperones. 1997, 2: 60-71. 10.1379/1466-1268(1997)002<0060:DCOHOI>2.3.CO;2.PubMed CentralView ArticlePubMedGoogle Scholar
  46. Hemmer-Hansen J, Nielsen EE, Frydenberg J, Loeschcke V: Adaptive divergence in a high gene flow environment: Hsc70 variation in the European flounder (Platichthys flesus L.). Heredity. 2007, 99: 592-600. 10.1038/sj.hdy.6801055.View ArticlePubMedGoogle Scholar
  47. Legendre M, Ecoutin JM: Suitability of brackish water tilapia species from the Ivory Coast for lagoon aquaculture. I. Reproduction. Aquatic Living Resources. 1989, 2: 71-79. 10.1051/alr:1989009.View ArticleGoogle Scholar
  48. Pfaffl MW: A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Research. 2001, 29: 2002-2007. 10.1093/nar/29.9.e45.View ArticleGoogle Scholar

Copyright

© Tine et al; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Advertisement