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Brazilian Journal of Genetics

versión impresa ISSN 0100-8455

Braz. J. Genet. v.20 n.3 Ribeirão Preto sep. 1997

http://dx.doi.org/10.1590/S0100-84551997000300005 

Genetic variability of Prochilodus lineatus (Characiformes, Prochilodontidae) in the upper Paraná river

 

Eloísa Revaldaves, Erasmo Renesto and Maria F.P.S. Machado

Departamento de Biologia Celular e Genética, Universidade Estadual de Maringá,
Av. Colombo, 5790, Campus Universitário, 87020-900 Maringá, PR, Brasil.
Tel.: (044) 2614342. Send correspondence to E.R.

 

ABSTRACT

The genetic variability of the "curimba", Prochilodus lineatus, from three locations in the Paraná river basin, was investigated by starch gel electrophoresis. A total of 160 specimens were analyzed for 19 enzymes, 12 of which permitted successful interpretation of electrophoretic patterns. Eighteen loci were identified and six of them proved to be polymorphic (EST-1*, EST-2*, IDH-1*, PGM-1*, PGM-2*, LDH-2*). Mean heterozygosity was considered high (13%) by comparison with the literature. A low level of differentiation was found among subpopulations, with mean FST = 0.018. Values of genetic distance and genetic identity suggest that, at least along this stretch of the river, P. lineatus comprises a single breed with high gene flow. This analysis has important implications for fishery management, aquaculture, and conservation of the stocks.

 

INTRODUCTION

The "curimba" or "curimbatá", Prochilodus lineatus (Valenciennes, 1836) (= P. scrofa Steindachner, 1881), is an iliophagous characiform which is endemic in the Paraná and Paraguai river basins. This species shows migratory behavior and population stratification in terms of distribution of body length classes and extent of sexual maturation (Toledo-Filho, 1983; Gomes et al., 1989). The "curimba" is conspicuous among the migratory species of the Paraná river basin and is considered to be the fourth most important species in fish landings in the Itaipu reservoir (Agostinho et al., 1994). There is a clear economic interest in this species and consequently a need for fishery management.

The management of a fishery requires some knowledge of the population structure, including the possible existence of genetically distinct populations, which can be assessed by electrophoresis of enzymes and DNA (Allendorf and Utter, 1979; Allendorf et al., 1987). Genetic management tends to order the exploitation, avoiding gene pool erosion and warranting food production in the face of human population growth (Foresti et al., 1992). The preservation of the environmental patchiness of a foodplain is vital to the maintenance of biological and genetical diversity; however, this maintenance has been endangered by reservoir construction. The Paraná river basin is one of the most intensively dammed. By the end of the twentieth century it is expected that 69 hydroelectric dams will be built in the Brazilian portion of the basin alone. Only 230 km of the original 809 km of the upper Paraná river in the Brazilian portion are now flowing. The construction of the Ilha Grande reservoir will wipe out the last lotic stretch of the upper Paraná river (Agostinho et al., in press).

The dams themselves may be formidable barriers to the dipersal of many freshwater organisms, especially migratory ones. Beyond the impacts caused by the flux control, they compromise the survival, mating success, and gene flow that can alter the gene frequencies of the species. Even recognizing the potential of extrinsic barrier impacts on the freshwater species and the strong need for genetic data as an aid in management, the studies of genetic structure have been almost totally ignored in Brazil. The objectives of the present study were to quantify the genetic variability and genetic distance within sampled subpopulations using enzyme electrophoresis, to inform about some fishery strategies for the management of "curimba" from the high Paraná river and to alert about the importance of heterogeneous environment preservation in foodplain ecosystems for the maintenance of high levels of genetic variability.

 

MATERIAL AND METHODS

Adult individuals of P. lineatus were fished with nets in November 1993 and May 1994 from three sampling sites in the Paraná river basin, i.e., Paraná, Baía and Ivinheima rivers (Figure 1). Samples of liver and muscle were removed from fresh fish, frozen in liquid nitrogen, and stored at -20oC. The tissues were homogenized in Eppendorf tubes with CCl4 and 0.02 M Tris/HCl buffer, pH 7.5 at 1:1:2 concentrations, respectively, using plastic sticks. All homogenates were centrifuged at 25,000 rpm for 30 min in a refrigerated centrifuge with temperature ranging from 1 to 5oC, and stored at -20oC until the time for electrophoresis. The supernatants were processed within two weeks of their preparation. The buffer system used was 0.125 M Tris/ 0.0375 M citrate, pH 8.0, modified from McAndrew and Majumdar (1983). The standard histochemical staining procedures were based on Aebersold et al. (1987). The interpretation of enzymatic patterns concerning the quaternary structure of enzymes, was based on information from Ward et al. (1992). Nomenclature of gene loci followed the recommendations of Shaklee et al. (1990). In this paper, the loci were designated by the abbreviations of enzyme names in italicized capital letters, followed by an italic Arabic number and an asterisk. The locus and allele that coded the least anodal isozyme were designated 1 and A, respectively.

Figure 1 - Map of sampling locations.

 

The Biosys-1 program (Swoford and Selander, 1981) was used for statistical analysis. Variability was estimated by the 95 and 99% criterion of polymorphic loci and by the unbiased mean heterozygosity (Snedecor and Irwin, 1933). Polymorphic loci were submitted to chi-square tests for deviation from Hardy-Weinberg equilibrium, with correction for small samples (Levene, 1949). The differentiation within and among subpopulations was estimated by the contingency test, F-statistics (Wright 1951, 1965; Nei 1977, 1978) and statistics of Nei (1978). The significance of FIS was tested by the formula of Li (1955): c2 = N . , with significance at the 5% level. The FIT values were tested using the significance method of Brown (1970) in which |FIT| . ÖN should be greater than 1.96 for significance at the 5% level (N is the sample size). The FST values were tested statistically at the 1% level of significance to determine whether or not they were significantly different from zero, using the procedure of Workman and Niswander (1970), where c2 = 2N. FST had s - 1 degrees of freedom, N is the number of fish sampled and s is the number of stocks.

 

RESULTS

Twelve of the 19 enzymes studied showed satisfactory resolution using liver extract (Table I), resulting in a total of 31 alleles distributed among 18 loci, all of them with anodal migration, except for the LDH-1* locus. Enzymatic patterns of muscle extracts were not analyzed due to the poor resolution, except for LDH.

Table I - Names, abbreviations and numbers for the assayed enzymes in Prochilodus lineatus subpopulations. The names and numbers follow IUBNC (1984). E.C. = Enzyme number.

Enzyme name Abbreviation and E.C.
Alcohol dehydrogenase (ADH 1.1.1.1)
Esterase (EST 3.1.1.1)
Phosphoglucomutase (PGM 2.7.5.1)
Glycerol-3-phosphate dehydrogenase (G3PDH 1.1.1.8)
Glutamate dehydrogenase (GLUDH 1.4.1.2)
3-Hydroxybutyrate dehydrogenase (HBDH 3.1.1.30)
L-Iditol dehydrogenase (IDDH 1.1.1.14)
Isocitrate dehydrogenase (IDH 1.1.1.42)
L-Lactate dehydrogenase (LDH 1.1.1.27)
Malate dehydrogenase (MDH 1.1.1.37)
Superoxide dismutase (SOD 1.15.1.1)
Xantine dehydrogenase (XDH 1.2.1.37)

 

EST - Two zones of esterase activity were observed for this monomeric enzyme and were assumed to represent the expression of two loci. The most anodal locus (EST-1*) was represented by four distinct isozymes, indicating the existence of four different alleles; two alleles were observed at the EST-2* locus (Figure 2).

Figure 2 - Diagrammatic representation of the 15 EST phenotypes detected at the EST-1* and EST-2* loci of Prochilodus lineatus liver. Capital letters above = genotypes for each locus.

 

IDH - The dimeric structure of IDH suggests that it is coded for by a single polymorphic locus, in which four alleles were observed. In the "curimba", the heterodimers IDH-AC and IDH-BD had the same mobility as the homodimers IDH-BB and IDH-CC, respectively (Figure 3).

Figure 3 - Diagrammatic representation of the seven IDH phenotypes detected at the IDH locus of Prochilodus lineatus liver.

 

LDH - This tetrameric enzyme has been shown to be coded for by two loci in "curimba" (Toledo-Filho and Ribeiro, 1977 and Fenerich-Verani et al., 1990a). The A and B loci described in the above reports correspond to the LDH-1* and LDH-2* loci in our nomenclature, respectively. In the present study, the most common phenotype was five-banded. Only two different five-banded heterozygotes with different electrophoretic mobility at the LDH-2* locus were observed, suggesting the existence of three alleles. The cathodal monomorphic locus LDH-1* was expressed only in skeletal muscle (Figure 4).

Figure 4 - Schematic representation of the three LDH phenotypes detected at the LDH-1* and LDH-2* loci of Prochilodus lineatus liver.

 

PGM - In the "curimba", this monomeric enzyme is represented by three zones of activity, which were assumed to represent the expression of two loci. In the least anodal and intermediate zones of activity typical monomeric enzyme phenotypes (two-banded heterozygotes) were found. These zones were attributed to expression of the PGM-1* and PGM-2* loci, respectively. Three alleles were observed for both loci. The third most anodal zone showed three and five-banded phenotypes, which are characteristic of a tetrameric enzyme coded for by two monomorphic loci (Figure 5).

Figure 5 - Schematic representation of the twelve PGM phenotypes detected at the PGM-1* and PGM-2* loci of Prochilodus lineatus liver.

 

MDH - This dimeric enzyme has been reported to be coded for by three loci in the "curimba" (Fenerich-Verani et al., 1990b). The mMDH, sMDH-A*, and sMDH-B* loci reported by these investigators correspond to the mMDH-1*, sMDH-2*, and sMDH-3* loci, respectively, in our nomenclature. The sMDH-2* locus is predominant in liver extracts. All individuals analyzed were shown to be homozygotes. According to Fenerich-Verani et al. (1990), the least anodal isozyme may correspond to alcohol dehydrogenase (ADH) expression (Figure 6).

Figure 6 - Schematic representation of the MDH phenotype detected at the mMDH-1*, MDH-2*, and MDH-3* loci of Prochilodus lineatus liver.

 

ADH, G3PDH, GLUDH, HBDH, SOD and XDH were all represented by a single band. Each one of these enzymes was designated as if coded for by one locus. IDDH was represented by two invariable bands, suggesting the existence of two monomorphic loci. The gels of the Paraná river subpopulation did not have good definition compared to the other sampling sites. The allele frequencies of each subpopulation and total population (pooled data), and the chi-square contingency test are given in Table II. Only the PGM-2* locus demonstrated significant heterogeneity among subpopulations (P < 0.05).

 

Table II - Allele frequency estimates and contingency chi-square analysis for Prochilodus lineatus from three sampling sites in the upper Paraná river. P = Probabilities relative to contingency chi-square. N = Sample size. Total = Allele frequencies for pooled data.

Locus Allele Paraná Baía Ivinheima P Total
ADH-1* A 1.000 1.000 1.000 1.000 1.000
N   50 60 50   160
EST-1* A 0.085 0.100 0.097   0.093
  B 0.610 0.483 0.629 0.673 0.578
  C 0.268 0.383 0.258   0.299
  D 0.037 0.033 0.016   0.029
N   41 30 31   102
EST-2* A 0.561 0.567 0.463   0.524
  B 0.439 0.433 0.537 0.368 0.476
N   33 30 41   104
G3PD-1* A 1.000 1.000 1.000 1.000 1.000
N   50 60 50   160
GLUDH-1* A 1.000 1.000 1.000 1.000 1.000
N   50 60 50   160
HBDH-1* A 1.000 1.000 1.000 1.000 1.000
N   50 60 50   160
IDDH-1* A 1.000 1.000 1.000 1.000 1.000
N   50 60 50   160
IDDH-2* A 1.000 1.000 1.000 1.000 1.000
N   50 60 50   160
IDH-1* A 0.085 0.033 0.021   0.044
  B 0.488 0.650 0.542   0.570
  C 0.415 0.300 0.396 0.077 0.362
  D 0.012 0.017 0.042   0.023
N   41 60 48   149
LDH-1* A 1.000 1.000 1.000 1.000 1.000
N   50 60 50   160
LDH-2* A 0.000 0.000 0.010   0.994
  B 0.990 1.000 0.990 0.354 0.003
  C 0.010 0.000 0.000   0.003
N   50 60 50   160
mMDH-1* A 1.000 1.000 1.000 1.000 1.000
sMDH-2* A 1.000 1.000 1.000 1.000 1.000
sMDH-3* A 1.000 1.000 1.000 1.000 1.000
N   50 60 45 1.000 155
PGM-1* A 0.351 0.225 0.194   0.253
  B 0.638 0.750 0.796 0.091 0.731
  C 0.011 0.025 0.010   0.016
N   47 60 49   156
PGM-2* A 0.045 0.024 0.015   0.029
  B 0.875 0.690 0.794 0.010 0.788
  C 0.080 0.286 0.191   0.183
N   44 42 34   120
SOD-1* A 1.000 1.000 1.000 1.000 1.000
N   50 60 50   160
XDH-1* A 1.000 1.000 1.000 1.000 1.000
N   50 60 50   160

 

The Hardy-Weinberg equilibrium test displayed significant departures from expected genotypic proportion (P < 0.05) at the EST-2* locus of the Paraná river subpopulation, and at the EST-1* and EST-2* loci of the total population (Table III). Since the band patterns of the gels for the Paraná river subpopulation did not show good definition, the statistical analysis for the total population was performed excluding allele frequencies of EST-1* and EST-2* loci, resulting in nonsignificant values (0.818 and 0.404, respectively).

Table III - Probability values of the chi-square test for Hardy-Weinberg equilibrium in Prochilodus lineatus. Total = Pooled data.

Locus Paraná Baía Ivinheima Total
EST-1* 0.052 0.976 0.780 0.041/0.818¨
EST-2* 0.006 0.901 0.148 0.017/0.404¨¨
IDH-1* 0.512 0.898 0.578 0.599
LDH-2* 1.000 - 1.000 1.000
PGM-1* 1.000 0.975 0.986 0.874
PGM-2* 0.051 0.999 1.000 0.418

¨Analysis without EST-1* from the Paraná river subpopulation;
¨¨analysis without EST-2* from the Paraná river subpopulation.

 

Estimates of genetic variability for each subpopulation and for the total population were calculated on the basis of mean heterozygosity and polymorphism (Table IV). Although expected heterozygosity values for each locus were variable (0 to 0.61), all the subpopulations proved to be similar, in terms of heterozygosity and polymorphism.

Table IV - Estimates of genetic variability in Prochilodus lineatus. Observed heterozygosity (H0), expected heterozygosity (HE), proportion of polymorphic loci by the 95% criterion (0.95) and 99% criterion (0.99). SEM = Standard error of the mean for heterozygosity.

Locus Paraná - HE/H0 Baía - HE/H0 Ivinheima - HE/H0 Total
EST-1* 0.554/0.341 0.619/0.533 0.537/0.419 0.569/0.422
EST-2* 0.500/0.758 0.499/0.467 0.503/0.634 0.501/0.625
IDH-1* 0.590/0.634 0.490/0.400 0.554/0.542 0.543/0.510
LDH-2* 0.020/0.020 0.000/0.000 0.020/0.020 0.012/0.013
PGM-1* 0.474/0.468 0.389/0.367 0.332/0.367 0.403/0.397
PGM-2* 0.229/0.159 0.446/0.429 0.338/0.353 0.347/0.308
Mean 0.132/0.132 0.136/0.122 0.127/0.130 0.132/0.126
SEM 0.053/0.058 0.054/0.048 0.051/0.052 0.052/0.051
P (0.95) 0.278 0.278 0.278 0.278
P (0.99) 0.333 0.278 0.333 0.278

 

The statistics of Nei (1978), displayed in Table V, revealed the high genetic homogeneity of the samples with a small differentiation between Paraná river and Baía river subpopulations. Population differentiation was also examined by calculating FIS, FIT and FST values for each locus and the mean value across all loci (Table VI). FIS values correspond to mean deviation from random mating within subpopulations, FIT values correspond to mean deviation from random mating over all subpopulations and FST values correspond to the measure of the degree of genetic differentiation among subpopulations. The mean values demonstrated the low level of inbreeding and the high homogeneity of the subpopulations sampled. The results of the Wright’s F-Statistics performed without EST-2* from the Paraná river subpopulation demonstrated a small variation for mean values of FIS and FIT, but FST remained constant.

Table V - Nei’s (1978) genetic distance (below diagonal) and genetic identity (above) among Prochilodus lineatus subpopulations.

Subpopulations Paraná Baía Ivinheima
Paraná **** 0.996 0.999
Baía 0.004 **** 0.999
Ivinheima 0.001 0.001 ****

 

Table VI - Summary of F-statistics for all Prochilodus lineatus subpopulations.

Locus FIS FIT FST
EST-1* 0.232 0.242 0.013
EST-2* -0.255 -0.243 0.009
EST-2*¨ -0.103 -0.102 0.011
IDH-1* 0.025 0.039 0.015
LDH-2* -0.010 -0.005 0.005
PGM-1* -0.015 0.008 0.022
PGM-2* 0.059 0.094 0.037
Média 0.013 0.031 0.018
Média¨ 0.043 0.061 0.018

¨Analysis without EST-2* from the Paraná river subpopulation.

 

The FIS values for each subpopulation tested by the formulae of Li (1955) were significantly different from zero (P < 0.05) at the EST-1*, EST-2* and PGM-2* loci from the Paraná river subpopulation, exactly the loci in which bands had low definition. The FIT values for EST-1* and EST-2* were significantly different from zero (P < 0.05) using the method of Brown (1970). None of the FST values tested by the procedures of Workman and Niswander (1970) were significantly different from zero (P < 0.05).

 

DISCUSSION

The levels of genetic variability and polymorphism reported in this study for the "curimba" can be considered high when compared to the mean values obtained by Nevo (1978) for 51 teleost species (H = 0.051 and P = 0.152) or the mean heterozygosity values calculated by Powell (1975) and Ward et al. (1992) for marine and freshwater fishes (0.058 and 0.051, respectively). High levels of heterozygosity and polymorphism might be expected for species of fish occurring over a broad range of patches in a river (Zimmerman, 1987), and showing a large population size, due to the lower levels of inbreeding.

The methodological error hypothesis seemed to explain the divergence of allele frequencies expected by Hardy-Weinberg equilibrium observed in EST-2* of the Paraná river subpopulation. Many of the significant deviations occurred only in those enzymes subjected to relatively rapid loss of activity. Electrophoretic analysis performed by Lavery and Shaklee (1989) and on "corvina" by Maggioni (1992) demonstrated loss of activity of EST.

Only the PGM-2* locus, which demonstrated an increase in the homozygous frequencies, showed significant allele divergence among the three subpopulations. This divergence can be explained by the Wahlund effect, since the mean expected heterozygosity among the three subpopulations was lower than the mean expected heterozygosity in the total population. The occurrence of a selective event cannot be evaluated, because the fitness of the different isozymes is unknown. In this way, we cannot say whether or not isozyme-environment interaction can yield a high level of homozygotes.

Mean genetic distance and genetic identity demonstrated the high level of subpopulation similarity. These values were lower than those reported by Shaklee et al. (1982) for cospecific populations of a large number of marine and freshwater species, whose mean values were D = 0.05 and I = 0.97. The small genetic distance, the low inbreeding values (FIS and FST) and differentiation level (FST) measured for P. lineatus clearly reflect the ample dispersal of this species and its panmictic behavior. The gene flow is sufficient to maintain the high level of genetic homogeneity. The high level of genetic homogeneity may be explained as a result of substantial gene flow between subpopulations, from the viewpoint of a neutral model. From the viewpoint of an adaptive selection model, the possibility of balanced selection may be considered. Although selectionists and neutralists have different explanations concerning allele divergence between subpopulations, they agree that the level of heterozygosity is correlated with the size of the population.

Although these results are still preliminary, they strongly suggest that the subpopulations comprise a single stock. Thus, the use of a single exploitation model is possible, considering that overexploitation of one of the subpopulations can be felt by the total population.

The large number of barriers in the Paraná river compromise the genetic variability of migratory species since upstream flow through the barriers is not possible. Occasional gene flow downstream is possible when fish can stay alive after barrier transposition. There is no transposition of "curimbas" across the Itaipu reservoir barrier, a fact that could alter the allele frequencies of populations. Avise and Felley (1979), examining Lepomis macrochirus populations from 64 localities distributed evenly among eight reservoirs and two drainages, did not find any evidence of inbreeding within localities, but allele frequencies among localities were often heterogeneous. According to Zimmerman (1987), the isolation of populations can make them more susceptible to stochastic processes and inbreeding that can shape their genome. Galhardo and Toledo-Filho (1988), in a genetic-biochemical study of transferrin of "curimba", observed that the natural population of the Mogi-Guaçu river was in Hardy-Weinberg equilibrium, while the cultivated population of the Paraibuna reservoir showed deviations due to the high level of inbreeding. The increase of homozygosis does not mean the extinction of the population, but it could affect exploitation. Comparative studies between natural and cultivated species have demonstrated that species with high H values show high additive genetic variance in quantitative traits, such as growth rate, reproductive success or resistance to disease (Allendorf and Ryman, 1987; Skaala et al., 1990; Hindar et al., 1991; Reina et al., 1994). Leberg (1990) verified that a 25% reduction in heterozygosity led to a 56% reduction in population size, in Gambusia holbrooki.

The high levels of heterozygosity and polymorphism reported for the "curimba" indicate that this area is adequate to collect founder stocks. According to Toledo-Filho et al. (1992), founder stocks should be formed from wild stocks of the same basin since they show lower levels of inbreeding and higher biological potential to adapt to reservoir conditions.

The maintenance of environmental heterogeneity in the Paraná river is important for the preservation of aquatic organisms, since this would guarantee the reproductive success of species such as P. lineatus (Agostinho, 1992; Vazoller, 1992; Agostinho et al., in press; Gomes and Agostinho, in press) and, consequently, stability of the gene pool. The results obtained in this study show the need for maintenance of the flowing stretch of the Paraná river, and therefore the cost-benefit ratio for the Ilha Grande hydroelectric scheme should be reconsidered in relation to the loss to fisheries and the effects on biological diversity.

 

ACKNOWLEDGMENTS

We are grateful to UEM/PADCT/CIAMB No. 620598/91-3, NUPELIA and CAPES for their financial support and to Dr. Jose A. Levy Sabaj for the training in his laboratory (LBM/FURG).

 

RESUMO

A variabilidade genética das subpopulações de curimba, Prochilodus lineatus, coletadas em três localidades da bacia do rio Paraná, foi analisada pela eletroforese em gel de amido. Um total de 19 sistemas enzimáticos foram analisados, em 160 indivíduos, dos quais 12 apresentaram padrões eletroforéticos interpretáveis geneticamente. Dos 18 loci identificados, seis mostraram polimorfismo (EST-1*, EST-2*, IDH-1*, PGM-1*, PGM-2*, LDH-2*). A heterozigose média de 13% foi considerada alta quando comparada com os dados da literatura. Um baixo nível de diferenciação foi encontrado entre as subpopulações, com FST = 0,018. Os valores de distância e identidade genética sugerem que, ao menos neste trecho da planície de inundação, P. lineatus representa uma única unidade reprodutiva com alto fluxo gênico. Esta análise tem importantes implicações para o manejo de pesca, piscicultura e conservação dos estoques.

 

REFERENCES

Aebersold, P.B., Winans, G.A., Tell, D.J., Milner, G.B. and Utter, M. (1987). Manual for starch gel electrophoresis - a method for the detection of genetic variation. NOAA Technical Report NMFS 61: 1-17.         [ Links ]

Agostinho, A.A. (1992). Manejo de recursos pesqueiros em reservatórios. In: Situação Atual e Perspectivas da Ictiologia no Brasil (Agostinho, A.A. and Benedito-Cecílio, E., eds.). Editora da Universidade Estadual de Maringá, Maringá, pp. 1-19.         [ Links ]

Agostinho, A.A., Júlio Jr., H.F. and Petrere Jr., M. (1994). Itaipu reservoir (Brazil): Impacts of impoundment on the fish and fisheries. In: Reabilitation of Freshwater Fisheries (Cowxi, G., ed.). Fishing News Book, Bodmin, UK, pp. 177-184.         [ Links ]

Agostinho, A.A., Gomes, L.C. and Zalewski, M. The importance of foodplains for the dynamics of fish communities of the upper river Paraná. In: Fish and Land/ Inland Water Ecotones (Zalewski, M. and Thorp, J., eds.). UNESCO MAB Series (in press).         [ Links ]

Allendorf, F.W. and Ryman, N. (1987). Genetic management of hatchery stocks. In: Population Genetics & Fishery Management (Ryman, N. and Utter, F., eds.). University of Washington Press, Washington, pp. 141-159.         [ Links ]

Allendorf, F.W. and Utter, F.M. (1979). Population genetics. In: Fish Physiology (Hoar, W.S., Randal, D.J. and Brett, J.R., eds.). Academic Press, New York, pp. 407-454.         [ Links ]

Allendorf, F.W., Ryman, N. and Utter, F.M. (1987). Genetics and fishery management. Past, present and future. In: Population Genetics & Fishery Management (Ryman, N. and Utter, F., eds.). University of Washington Press, Washington, pp. 1-19.         [ Links ]

Avise, J.C. and Felley, J. (1979). Population structure of freshwater fishes. 1. Genetic variation of bluegill (Lepomis macrochirus) populations in man-made reservoirs. Evolution 33: 15-26.         [ Links ]

Brown, A.H.D. (1970). The estimation of Wright’s fixation index from genotypic frequencies. Genetica 41: 399-406.         [ Links ]

Fenerich-Verani, N., Schwants, M.L.B. and Schwants, A.R. (1990a). Patterns of gene expression during Prochilodus scrofa (Characiformes: Prochilodontidae) embryogenesis. I. Lactate dehydrogenase. Comp. Biochem. Physiol. 97: 235-246.         [ Links ]

Fenerich-Verani, N., Schwants, M.L.B. and Schwants, A.R. (1990b). Patterns of expression during Prochilodus scrofa (Characiformes: Prochilodontidae) embryogenesis. II. Soluble malate dehydrogenase. Comp. Biochem. Physiol. 97: 247-255.         [ Links ]

Foresti, F., Toledo-Filho, S.A. and Almeida-Toledo, L.F. (1992). Manejo de recursos genéticos em populações naturais de peixes. In: Situação Atual e Perspectivas da Ictiologia no Brasil (Agostinho, A.A. and Benedito-Cecílio, E., eds.). Editora da Universidade Estadual de Maringá, Maringá, pp. 58-67.         [ Links ]

Galhardo, E. and Toledo-Filho, S.A. (1988). Estudo genético bioquímico de populações natural e cultivada de Prochilodus scrofa (Steindachner, 1881). Cienc. Cult. 40 (Suppl. 7): 778.         [ Links ]

Gomes, L.C. and Agostinho, A.A. The influence of the flooding regime on the nutritional state and recruitment of young Prochilodus scrofa Steindachner, 1881, in the upper river Paraná, Brazil. Fish. Manage. Ecol. (in press).         [ Links ]

Gomes, L.C., Agostinho, A.A., Okada, E.K., Nakatani, K. and Fernandez, D.R. (1989). Aspectos da estratificação de jovens e adultos e movimentação de Prochilodus scrofa (Osteichthyes, Prochilodontidae), no Reservatório de Itaipu e rio Paraná. In: Seminário Regional de Ecologia, 6, UFSCar/CBS, São Carlos, 1988, pp. 91.         [ Links ]

Hindar, K., Ryman, N. and Utter, F. (1991). Genetics effects of cultured fish on natural fish populations. Can. J. Fish. Aquat. Sci. 48: 945-957.         [ Links ]

IUBNC - International Union of Biochemistry, Nomenclature Comittee (1984). Enzyme Nomenclature. Academic Press, Orlando, Florida.         [ Links ]

Lavery, S. and Shaklee, J.B. (1989). Population genetics of two tropical sharks, Carcharinus tilstoni and C. sorrah, in Northern Australia. Aust. J. Mar. Freshwater Res. 40: 541-557.         [ Links ]

Leberg, P.L. (1990). Influence of genetic variability on population growth: implications for conservation. J. Fish Biol. 37: 193-195.         [ Links ]

Levene, H. (1949). On a matching problem arising in genetics. Ann. Math. Stat. 20: 91-94.         [ Links ]

Li, C.C. (1955). Population Genetics. University Press, Chicago.         [ Links ]

Maggioni, R. (1992). Estudo genético populacional da corvina, Macropogonias Furnieri, entre Macaé e Chuí. Master’s thesis, FURG, Rio Grande, RS.         [ Links ]

McAndrew, B.J. and Majumdar, K.C. (1983). Tilapia stock identification using electrophoretic markers. Aquaculture 30: 249-261.         [ Links ]

Nei, M. (1977). F-statistics and analysis of gene diversity in subdivided populations. Ann. Hum. Genet. 41: 225-233.         [ Links ]

Nei, M. (1978). Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89: 583-590.         [ Links ]

Nevo, E. (1978). Genetic variation in natural populations: Patterns and theory. Theor. Popul. Biol. 13: 121-177.         [ Links ]

Powell, J.R. (1975). Protein variation in natural populations of animals. Evol. Biol. 8: 79-119.         [ Links ]

Reina, J., Martinez, G., Amores, A. and Alvarez, M.C. (1994). Interspecific genetic differentiation in western Mediterranean sparid fish. Aquaculture 125: 47-57.         [ Links ]

Shaklee, J.B., Tamaru, C.S. and Waples, R.S. (1982). Speciation and evolution of marine fishes studied by electrophoretic analysis of proteins. Pac. Sci. 36: 141-156.         [ Links ]

Shaklee, J.B., Allendorf, F.W., Morizot, D.C. and Whitt, G.S. (1990). Gene nomenclature for protein-coding loci in fish. Trans. Amer. Fish. Soc. 119: 2-15.         [ Links ]

Skaala, Ö., Dahle, G., Jörstad, K.E. and Nævdal, G. (1990). Interactions between natural and farmed fish populations: information from genetic markers. J. Fish Biol. 36: 449-460.         [ Links ]

Snedecor, G. and Irwin, M.R. (1933). On the chi-square test for homogeneity. Iowa State College J. Sci. 8: 75-81.         [ Links ]

Swoford, D.L. and Selander, R.B. (1981). BIOSYS-1: A FORTRAN program for the comprehensive analysis of electrophoretic data in population genetics and systematics. J. Hered. 72: 281-283.         [ Links ]

Toledo-Filho, S.A. (1983). Distribuição espacial do curimbatá, Prochilodus scrofa Steindachner, 1881, do rio Mogi-Guaçu. Cienc. Cult. 35: 1112-1114.         [ Links ]

Toledo-Filho, S.A. and Ribeiro, A.F. (1977). Evolução das isozimas da desidrogenase láctica em peixes. Cienc. Cult. 29: 40-44.         [ Links ]

Toledo-Filho, S.A., Almeida-Toledo, L.F, Foresti, F., Galhardo, E. and Donola, E. (1992). Conservação genética de peixes em projetos de repovoamento e reservatórios. In: Cadernos de Ictiogenética. USP, São Paulo, pp. 37.         [ Links ]

Vazoller, A.E.A. de M. (1992). Reprodução de peixes. In: Situação Atual e Perspectivas da Ictiologia no Brasil (Agostinho, A.A. and Benedito-Cecílio, E., eds.). Editora da Universidade Estadual de Maringá, Maringá, pp. 1-17.         [ Links ]

Ward, R.D., Skibinski, D.O.F. and Woodward, M. (1992). Protein heterozygosity, protein structure, and taxonomic differentiation. Evol. Biol. 26: 73-157.         [ Links ]

Workman, P.L. and Niswander, J.D. (1970). Population studies on southwestern Indian tribes. II. Local genetic differentiation in the Papago. Am. J. Hum. Genet. 22: 24-49.         [ Links ]

Wright, S. (1951). The genetical structure of populations. Ann. Eugenics 15: 323-354.         [ Links ]

Wright, S. (1965). The interpretation of population structure by F-statistics with special regard to systems of mating. Evolution 19: 395-420.         [ Links ]

Zimmerman, E.G. (1987). Relationships between genetic parameters and life-history characteristics of stream fish. In: Community and Evolutionary Ecology of American Stream Fishes (Mathews, W.J. and Heins, D.C., eds.). University of Oklahoma Press, Norman and London Copyright, Oklahoma, pp. 239-244.         [ Links ]

 

 

(Received March 5, 1996)