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Bioaccumulation of heavy metals in silver catfish (Chrysichthys nigrodigitatus) and tilapia fish (Oreochromis niloticus) from the brackish and freshwater in South-West, Nigeria

Abstract

Background

Chrysichthys nigrodigitatus (CN) and Oreochromis niloticus (ON) health status were investigated in Asejire Reservoir (AR) and Lagos Lagoon (LL), South-west Nigeria. Fish samples collected were separated into sexes. Growth pattern {length (cm); weight (g), Isometric index, condition factor (K)} were measured. Heavy metals (lead (Pb), iron (Fe), zinc (Zn), copper (Cu), and chromium (Cr) in ppm concentrations were determined in Lagos Lagoon and Asejire reservoir.

Results

Fish samples ranged at one male to one or two females. No significant difference in length and weight of O. niloticus between locations. Significant difference in weight occurred in C. nigrodigitatus between locations; highest condition factor was recorded in Asejire Reservoir O. niloticus, (ARON); lowest condition factor was observed in Asejire Reservoir C. nigrodigitatus (ARCN) as this indicated a negative allometric value, normal in Bagridae species. Male species possessed higher condition (K)—factor than female species within locations, between locations, between species, and within species, female C. nigrodigitatus having higher condition factor than male ARCN. Highest isometric value occurred in ARON and lowest in Lagos Lagoon C. nigrodigitatus (LLCN). Male ARON had highest isometric value, and O. niloticus species had higher isometric value (b ≤ 3) and positive allometric (b > 3); and C. nigrodigitatus has negative allometric (b < 3). Heavy metals Zn had highest value, while Cr ranked lowest value for ARON. Lagos Lagoon O. niloticus (LLON) Zn had highest value while Pb had lowest value. LLCN heavy metals determined revealed Zn had highest value, while Cr had lowest value; and ARCN heavy metals determined revealed Zn had highest value, and Cr had lowest. In all, Zinc (Zn) was top-ranked.

Conclusion

Results indicate niche response and performance as species specific; while environmental influence and stressors, food availability and reproduction factors contribute to well-being of fish. The heavy metals influence on the fish species is of public concern to man to avoid food poisoning.

Background

The physical and chemical properties of water greatly influence the uses, the distribution and richness of biota (Gebrekiros, 2016). The aquatic environment encompasses a wide variety of parameters, virtually all of which influence the maintenance of homeostasis, essential for growth and reproduction of fishes. These if altered beyond acceptable limits may pre-dispose to, or cause disease. Abiotic and biotic factors for the environment with which the fish interrelate include; temperature, intensity and periodicity of light (including shading and background line); chemical composition of the water, its biological content, the availability of space and food, and frequency of fright stimuli i.e. moving shadows (Taylor, 1997). Anthropogenic condition of aquatic environment which may occur naturally or from human interference can make fish which are naturally safe to be unsafe (Abidemi-Iromini, 2019).

Indiscriminate disposal of waste through municipal communities, and industrialization has contributed immensely to pollution condition of the aquatic environment with believe that the environment will balance up the confluence of interactions in the chemical and biological relationships. The waste load results in an environment heavily laden with micro-organisms, some of which are facultative and pathogenic in nature, and other can be obligate and result also in pathogenic condition, (Kristina et al., 2014). These contaminations from aquatic environment due to varying mis-use have indirect detrimental effect on output of such environment being on economic losses, and health impairment. Becoming disease carrier as that may have been exposed to contaminants (Abidemi-Iromini, 2019; Koenig et al., 2005). The synergy of chemical substances such as ammonia, sulphur, phosphorus, and nitrate; nitrite amidst other physical and biological processes with contaminants, in the aquatic environments can intensify the toxicity experienced within such environments and hence, pathogenic manifestation can be experienced (Koenig et al., 2005).

Pollution in the fish aquatic environment

Fish being sensitive to xenobiotics can be used as ecological indicator; they are highly digestible animal protein source. Chrysichthys nigrodigitatus and Oreochromis niloticus are fish of economic importance in gulf of Guinea. In Nigeria, the fish species are found in the inland waters and Lagoons. Unguided aquatic environment usage, urbanization and anthropogenic pollutants cause aquatic ecosystem degradation resulting in destruction of fish breeding site, and depletion of fish stock. This is a challenge mitigating quality and quantity of fish available for human utilization (Abidemi-Iromini et al., 2019). Hence, pollutants influence aquatic live as they accumulate different concentration of heavy metals thereby depleting the quality of fish, which are major protein rich food item (Ekeanyanwu et al., 2015).

Metals are very important in environmental research owing to their impact on human health; and are known to form materials that are potentially toxic to the environment (Chi et al., 2007; Turkmen & Ciminli, 2007). The anthropogenic effects of heavy metal on other aquatic life are less studied (Guerin et al., 2011). Concentrations of heavy metals in sediment increase as organic material increases. Pollutants concentrations in sediments increased with decrease in particle size (Ipeaiyeda & Onianwa, 2018). Therefore, pollution of aquatic environment by inorganic chemicals has been considered a major threat to the aquatic lives. Effluents of pesticides and fertilizers used in agriculture and effluents of industrial activities and runoffs in addition to sewage effluents supply the water bodies and sediment with huge quantities of inorganic anions and heavy metals (UNEP, 2016).

Heavy metals have on a long run effect, deteriorating impact on aquatic organisms and environment. Mercury, cadmium, selenium, chromium, silver, lead, among others are deleterious to fish health; as some others may cause corrosion (e.g. zinc, lead); some results in a secondary harm through complex interaction, (e.g. Influence of arsenic to catalysts). Trace metals such as zinc, copper and iron, play a biochemical role in life processes of all aquatic plants and animals; and are important in aquatic environment in trace amount (DÄ°rÄ°lgen, 2001). According to Ferrara et al (2000) reported that, copper and lead can occur from industrial wastes as well as algaecides; chromium and cadmium from electroplating.

Chromium makes fish experienced reduced growth, chromosomal aberrations, reduced disease resistance, and morphological changes. Chromium had been reported to inhibits growth in duckweed and algae, reduces fecundity and survival of benthic invertebrates (Harmon & Wiley, 2010). Silver bio-magnifies in some aquatic invertebrates, but is highly toxic to aquatic organisms. Elevated concentrations of silver can cause larval mortality, developmental abnormalities, and reduced larval growth in fish (Authman et al., 2015).

Cadmium is associated with increased mortality; and it affects respiratory functions, muscle contractions, growth reduction, enzyme levels and reproduction. It is highly toxic to fishes, as it causes cancer and mutation in fish, and bio-accumulates at all trophic levels, and fish exposed to high levels of lead exhibit wide-range of effects including muscular and neurological degeneration and destruction; growth inhibition, mortality, reproductive problems, and paralysis; all which in turns reduces fisheries production and resources (Wu et al., 2016).

The study aims to investigate level of heavy metal in Oreochromis niloticus and Chrysichthys nigrodigitatus collected from Asejire Reservoir and Lagos Lagoon respectively for public health purposes. Hence, hypothesis to be tested suggested no significant difference in the heavy metal status within the same species from the two environments; and between the two fish species from the same environment.

Methods

Description of study areas

The study was carried out in two different environments (zones): Asejire Reservoir on River Osun in Oyo State and Lagos Lagoon in Lagos State.

Asejire reservoir

Osun River was dammed at Asejire to form Asejire Reservoir in Egbeda Local Government Area of Oyo State, Southwestern Nigeria (Fig. 1). It is a man-made reservoir located 30 km East of Ibadan, Oyo state (Ayoade et al., 2006). The Reservoir lies between longitudes 4E and 4°07′ E and latitude 7° N and 7°21′ N. It is bi-forcated into two unequal arms; the left longer arm is fed by Rivers Oba and Osun while the right is supplied by River Agboiro (Adebisi, 1981). The catchment area in the reservoir is 7800 km2 land the impounded area is 2342 hectares. It has a rainy season (April–October) with a monthly water mean of 10.3–15.9 mm while dry season is between (November–March) with water mean of 3.78–4.2 mm. The reservoir flows approximately 5 km from its source before breaking into series of rivers and streams (Anetekhai, 1997).

Fig. 1
figure 1

Map of Asejire Reservoir

Lagos Lagoon

The Lagos Lagoon (Fig. 2) is part of the continuous system of lagoons and creeks that are found along the coast of Nigeria from the border with the Republic of Benin to Niger-Delta. This lagoon bordering the Lagos Island is located between longitude 30°10′ and 30°4′ SE and latitude 60°5′ and 60°36′ N. (Sogbanmu, et al., 2016) reported that Lagos Lagoon has a surface area of 208km2, open, tidal and brackish; and is the largest among other lagoon systems of the Gulf of Guinea. It is connected and non-parallel to Gulf of Guinea coastline over 237 km. Lagos lagoon stretches for about 257.49 km from Cotonou in the Republic of Benin to the Western edge of the Niger-Delta. The lagoon boarders the forest belt and receives input from a few important large rivers draining more than 103,626 km of the country. However, Ajao (1996), estimated that the area of the lagoon is 150.56 km2. It cuts across the Southern part of the metropolis, linking the Atlantic Ocean (in the West and South) and Lekki lagoon (in the East). It is tidal and shallow with an average depth of 1.5 m except at channels that are continually dredged to accommodate heavy water traffic (Adejare et al., 2011). The Lagos Lagoon receives fresh water from fresh water source (rivers) like Yewa, Ogun, Ona and Osun all year round (Ajao et al., 1996; Asseez et al., 1974) with increase in rainfall. Other source of water influx into the Lagoon system include: Aye, Solodo, Osun, Mosafejo, Owa and Sunmoge (Enaikele & Olutayo, 2010). Lagos lagoon consists of three main segments: Lagos Harbour, the Metropolitan end and Epe division segments.

Fig. 2
figure 2

Map of Lagos Lagoon

Field work duration

Monthly study was carried out on Lagos Lagoon and Asejire Reservoir from January 2012 to December 2013 (2 wet/rainy seasons and 2 dry seasons) during which some ecological determinations were carried out.

Fish sampling

O. niloticus and C. nigrodigitatus fish species were randomly collected through the assistance of local fisherman using cage traps and locally made set nets having multiple mesh sizes; within Asejire Reservoir and Lagos Lagoon. Fishes collected look visually health. A total of two hundred and eighty-eight fish were collected comprising of seventy-two fish samples per species per location respectively. Fish collected were immediately transported to the laboratory in a 25 L plastic container containing water from sites of collection to reduce incidence of stress on the fish. Fish samples from Lagos Lagoon were transported to Marine Sciences Laboratory in University of Lagos, while samples collected from Asejire reservoir were transported to Fisheries and Aquaculture Technology laboratory, in The Federal University of Technology, Akure. Samples collections and analysis were carried out according to guidelines by Nickum et al. (2004).

Morphometric measurement on length and weight of fish

Total length (TL) and Standard Length (SL) (cm) of fish samples to nearest 0.01 cm were determined using a graduated board; and Weight (W) (g) of the fish samples were measured to the nearest 0.01 (g) using top load electronic balance, Model MP 2002 and Mettler Toledo electronic weighing balance (Model; PB8001).

Length/frequency distribution

The length and frequency of occurrence of fish were recorded among fish (O. niloticus and C. nigrodigitatus) samples collected throughout the study period.

Growth pattern relationship

Length–Weight Relationship (LWR) of fish species was determined in O. niloticus and C. nigrodigitatus regardless of sex and year class using the equation (Pauly, 1983):

$$W\, = \,a\,L^{b} .$$

where W = weight (g) of fish, L = length (cm) of fish, ‘a’ = intercept, and ‘b’ = slope (regression coefficient which lies between 2 and 4; while isometric (symmetric) growth is indicated at 3, and values other than 3 will indicate allometric growth, i.e. values greater than 3 = positive allometric growth, and values less than 3 = negative allometric growth).

Linear regression of graph of length–weight relationship of fish species were plotted.

The condition factor

The condition factor of fish samples collected were determined using the formular (Pauly, 1983):

$$K\, = \,100W/L^{b} .$$

where K = condition, W = Weight (g), L = Length (cm), b = isometric value.

Heavy metal analysis

The fish samples collected from Asejire reservoir and Lagos Lagoon were subjected to heavy metal assessments according to Association of Official Analytical chemists (2007), US-FDA (1993), EC (1998), EPA (2002), WHO (2003), WPCL (2004) and SON (2007) protocols on heavy metals hazard control points as guild on required permissible level/limit. Lead (Pb), chromium (Cr), iron (Fe), zinc (Zn), and copper (Cu) were estimated using electro photometer, (Buck 211 model). Samples were digested and the following steps were taken during the digestion of the fish species:

Fish samples collected and oven-dried were weighed into crucible and heated in muffle furnace for two hours at 750 °C temperature. 5 g of powdered samples were weighed into 100 ml beaker. 15m1 freshly prepared mixture of HNO3/H202 ratio 1:1 ratio was added to each sample and covered with wash glass and allowed to stand for 30 min during which initial reaction subsided. Digestion processes were carried out on hot plate with gradual increase in temperature rise to a maximum temperature of 160 °C in a fume cupboard with heat for 2 h, to evaporate/reduce volume in the beaker to 5 ml. Beaker and contents were air cooled and content transferred with Whatman filtration into 50m1 volumetric flask and made up to mark with distilled water. Digested samples were analyzed for Pb, Fe, Zn, Cu and Cr using buck 211 model atomic absorption spectrophotometer with aqueous calibration standard prepared from the stock standard solutions of the respective elements.

Statistical Analysis: Analytical and descriptive statistics were used to analyse data collected; two-way ANOVA was used to determine interaction within location; and standard deviation of means and standard errors were calculated using Statistical Package for Social Sciences (SPSS) 18 edition.

(i.) regression analysis was used to determine sequence of length and weight of fish; while Duncan Multiple Range Test (DMRT) was carried out to determine level of significance among fish samples;

(ii.) Duncan Multiple Range Test (DMRT) was used to determine significance relationship of heavy metals concentration determined in O. niloticus and C. nigrodigitatus between and within Asejire reservoir and Lagos Lagoon.

Result

A total of seventy-two samples of O. niloticus and C. nigrodigitatus were collected respectively from Asejire Reservoir and Lagos Lagoon. C. nigrodigitatus collected from both locations revealed no significant difference (P < 0.05) in Length. Weight (196.06 ± 0.16 g) recorded in Lagos Lagoon C. nigrodigitatus sample was significantly different (P < 0.05) from Asejire Reservoir C. nigrodigitatus. There was no significant different (P > 0.05) in weight between O. niloticus specie from the two locations.

Highest condition factor (4.56) was recorded in Asejire Reservoir O. niloticus and lowest condition factor (1.64) was determined in Asejire Reservoir C. nigrodigitatus. The least isometric value (1.40) was recorded in Lagos Lagoon C. nigrodigitatus, and this indicated a negative allometric value.

The frequency and growth determination of the two species within and between locations

Frequency and growth in Oreochromis niloticus and Chrysichthys nigrodigitatus collected from Asejire Reservoir and Lagos Lagoon; and frequency and growth trend in male and female O. niloticus and C. nigrodigitatus are indicated in Table 1. Samples from the seventy—two C. nigodigitatus and O. niloticus collected from both species and locations respectively showed Lagos Lagoon Male C. nigrodigitatus had highest frequency (40) among the fish species from the two locations. No significant different (P > 0.05) occurred in length and weight within species and between locations for O. niloticus fish; there was significant different (P < 0.5) between locations, but not within species for C. nigrodigitatus length and weight measurements.

Table 1 Sex frequency and length–weight indices on O. niloticus and C. nigrodigitatus from Asejire Reservoir and Lagos Lagoon

C. nigrodigitatus fish indicated a negative allometric value within and between locations and, but positive allometric in male Lagos Lagoon C. nigrodigitatus samples. Highest value was determined in male O. niloticus from Asejire Reservoir. The condition factor determined revealed male O. niloticus from Lagos Lagoon had highest value between locations for O. niloticus specie, and recorded highest value within specie, between locations. Among fish samples, female C. nigrodigitatus recorded least condition factor (K), which may be reproductive, environmental and / or food availability linked.

Heavy metals in Chrysichthys nigrodigitatus and Oreochromis niloticus

Heavy metals determined in homogenized C. nigrodigitatus and Oreochromis niloticus collected from Lagos Lagoon and Asejire Reservoir are indicated below. Figures 3, 4, 5, 6 and 7 shows the mean comparative heavy metals determination in the fish samples between locations; and Figs. 8, 9, 10 and 11 revealed seasonal heavy metals determinations.

Fig. 3
figure 3

Mean Comparative Chromium (Cr) concentration among C. nigrodigitatus and O. niloticus species collected from Asejire Reservoir and Lagos Lagoon

Fig. 4
figure 4

Mean Comparative Iron (Fe) concentration among C. nigrodigitatus and O. niloticus species collected from Asejire Reservoir and Lagos Lagoon

Fig. 5
figure 5

Mean Comparative Zinc (Zn) concentration among C. nigrodigitatus and O. niloticus species collected from Asejire Reservoir and Lagos Lagoon

Fig. 6
figure 6

Mean Comparative Copper (Cu) concentration among C. nigrodigitatus and O. niloticus species collected from Asejire Reservoir and Lagos Lagoon

Fig. 7
figure 7

Mean Comparative Lead (Pb) concentration among C. nigrodigitatus and O. niloticus species collected from Asejire Reservoir and Lagos Lagoon

Fig. 8
figure 8

Seasonal variations in heavy metals in O. niloticus collected from Asejire Reservoir

Fig. 9
figure 9

Seasonal variations in heavy metals in O. niloticus collected from Lagos Lagoon

Fig. 10
figure 10

Seasonal variations in heavy metals in C. nigrodigitatus collected from Asejire Reservoir

Fig. 11
figure 11

Seasonal variations in heavy metals in C. nigrodigitatus collected from Lagos Lagoon

Heavy metals in Oreochromis niloticus

The values of Heavy metals determined on O. niloticus flesh collected from Lagos Lagoon indicated that Iron (Fe) ranged between 0.34 ± 0.09 ppm and 1.46 ± 0.48 ppm, while that of chromium (Cr) ranged between 0.01 ± 0.00 ppm and 0.03 ± 0.00 ppm. For zinc (Zn), this ranged from 3.39 ± 0.36 ppm and 4.71 ± 0.25 ppm. Values obtained in Copper (Cu) ranged between 0.49 ± 0.10 ppm and 0.86 ± 0.07 ppm; and that of Lead (Pb) was 0.01 ± 0.00 ppm and; while 71.43% of samples had no Lead (Pb) determination.

Heavy metals determined on O. niloticus flesh collected from Asejire reservoir indicated values obtained in Iron (Fe) range between 0.45 ± 0.11 ppm and 1.84 ± 0.45 ppm. Value obtained for chromium (Cr) was 0.01 ± 0.00 ppm, in 57.14% of samples, and 42.86% had no determination. Values obtained in zinc (Zn) ranged from 5.20 ± 0.62 ppm and 6.52 ± 0.82 ppm. Values obtained in Copper (Cu): ranged between 0.60 ± 0.04 ppm and 0.70 ± 0.12 ppm.

Heavy metals in Chrysichthys nigrodigitatus

Heavy metals determined on C. nigrodigitatus flesh collected from Lagos Lagoon indicated values obtained in Iron (Fe) range between 0.59 ± 0.03 ppm and 2.02 ± 0.64 ppm. Value obtained for chromium (Cr) range between 0.01 ± 0.00 ppm and 0.06 ± 0.01 ppm. Values obtained in zinc (Zn) ranged from 5.83 ± 0.66 ppm and 9.56 ± 0.96 ppm. Values obtained in Copper (Cu): ranged between 0.43 ± 0.08 ppm and 3.69 ± 5.66 ppm. Value obtained in Lead (Pb) ranged between 0.13 ± 0.06 ppm and 0.20 ± 3.40 ppm.

Heavy metals assessment on C. nigrodigitatus flesh collected from Lagos Lagoon indicated values obtained in Iron (Fe) range between 0.59 ± 0.03 ppm and 2.02 ± 0.64 ppm. Value obtained for chromium(Cr) range between 0.01 ± 0.00 ppm and 0.06 ± 0.01 ppm. Values obtained in zinc (Zn) ranged from 5.83 ± 0.66 ppm and 9.56 ± 0.96 ppm. Values obtained in Copper (Cu): ranged between 0.43 ± 0.08 ppm and 2.69 ± 1.66 ppm. Value obtained in Lead (Pb) ranged between 0.13 ± 0.06 ppm and 0.20 ± 0.04 ppm.

Heavy metals maximum and minimum concentrations in samples of C. nigrodigitatus and O. niloticus in Lagos Lagoon and Asejire Reservoir respectively is revealed in Table 2.

Table 2 Maximum and Minimum Heavy Metals Concentration in Chrysichthys nigrodigitatus and Oreochromis niloticus

Result above indicated Chrysichthys nigrodigitatus catfish accumulate heavy metals more than Oreochromis niloticus tilapia fish. Also, samples from Lagos Lagoon accumulate more heavy metals than samples from Asejire Reservoir.

The significance level of heavy metals in species and locations indicated was assessed with probability at P > 0.05 non-significant level and P < 0.05 significant level. Result obtained indicated:

  • Fe has no significant difference between species C. nigrodigitatus and O. niloticus btw Lagos Lagoon and Asejire Reservoir between locations

  • Cr has significant difference among species C. nigrodigitatus and O. niloticus in Lagos Lagoon; and no significant difference in C. nigrodigitatus and O. niloticus in Asejire Reservoir

  • Zn has significant difference between C. nigrodigitatus and O. niloticus in Lagos Lagoon and Asejire Reservoir; but no significant difference within species C. nigrodigitatus and O. niloticus respectively between Lagos Lagoon and Asejire Reservoir locations

  • Cu has significant difference between Lagos Lagoon and Asejire Reservoir locations and C. nigrodigitatus and O. niloticus species; and no significant difference within location and C. nigrodigitatus and O. niloticus species.

  • Pb has no significant difference between locations Lagos Lagoon and Asejire Reservoir and species C. nigrodigitatus and O. niloticus.

Significant difference (P < 0.05) occurred among samples, as it was higher in dry season than rainy season.

Discussion

Sex differences of O. niloticus collected indicated no significant difference in length of fish between and within locations and in both sexes (male and female); while significant differences were revealed in weight. Significant differences were revealed in weight of fish samples collected from Asejire reservoir and Lagos Lagoon revealed no significant difference.

Assessment of length and weight of C. nigrodigitatus and O. niloticus from Asejire Reservoir and Lagos Lagoon revealed no significant difference in length of fish species sampled, but significant difference occurred in weight within specie; with respect to locations respectively for O. niloticus; but for C. nigrodigitatus, significant difference occurred in weight of fish samples collected between locations and not within locations. This inference is sequential to ecological condition influences as well as environmental functioning entities within the water bodies; as growth among specie is in normal sequence as determined by genes and environmental factors to give required fish size (Guillaume et al., 2007).

Condition factor (K) parameters by species, by locations, within species and among species indicated that C. nigrodigitatus in Asejire Reservoir and Lagos Lagoon had K factor. Highest K-factor was revealed in male Lagos Lagoon O. niloticus among species and between sexes, while female Lagos Lagoon C. nigrodigitatus had lowest K-factor (1.43). This could be attributed to reproduction. Within species, between locations and within sex, female O. niloticus from Lagos Lagoon had higher condition factor than the female from Asejire Reservoir. Among the male sex, O. niloticus from Lagos Lagoon perform better than Asejire Reservoir Male O. niloticus. Male C. nigrodigitatus from Lagos Lagoon had higher condition factor than the male C. nigrodigitatus in Asejire Reservoir, while female C. nigrodigitatus from Asejire Reservoir had higher K-factor than female C. nigrodigitatus in Lagos Lagoon. it is indicative of the nature of the fish which that it increases largely more in weight than in length; and the result is in line with the findings of Froese (2006) who stated that condition factor (K) of fish can be species specific, reproductive, sex specific, location specific, and feeding specific (Froese, 2006; George et al., 2013).

Mean parameter b values obtained within location and between locations Asejire Reservoir and Lagos Lagoon indicated that O. niloticus from Asejire Reservoir had highest b-value which is positive allometric, and between locations among species, O. niloticus had highest b-values, revealing a positive allometric, which indicated the level of robustness of the fish. Male O. niloticus from Asejire Reservoir had highest b-value among species between locations, which is positive allometric and the least of the b-value was recorded in C. nigrodigitatus from |Lagos Lagoon, and this indicated a negative allometric b-values which indicated that the fish increase more in length than in weight as this is supportive of the nature of the fish and in line with the work of Froese (2006).

Assessment of Iron (Fe), chromium (Cr), zinc (Zn), copper (Cu), lead (Pb) were carried out on Chrysichthys nigrodigitatus and Oreochromis niloticus from Asejire Reservoir and Lagos Lagoon; and results obtained revealed presence of heavy metals in fish species collected from both locations. Therefore, assessment of health status and health implication of heavy metal for fish eco-monitoring and public health cannot be overly emphasized.

Concentration of Fe in flesh of O. niloticus and C. nigrodigitatus within and between locations revealed a higher value from concentration limit (0.300 mg/g) (SON, 2007; WPCL, 2004) and (0.500 mg/g). Concentration of Fe (2.02 mg/g) was highest in C. nigrodigitus from Lagos Lagoon, but lower than concentration level (3.58 mg/g) obtained by Coale (1991). While Fe is essential to most life forms and to normal human physiology, as it is essential in oxygen transports from lungs to tissues (Dallman, 2006); it is also essential for the regulation of cell growth and differentiation. Present for production of hemoglobin, myoglobin; and its deficiency can cause anemia, (Anderson et al., 2010). According to Davis et al. (2008) reported that excess Fe in biological tissues causes rapid increase in pulse rate and coagulation of blood in blood vessels, hypertension and drowsiness; this is implicative on state of well-being and heamatology of fish to stress conditions.

Concentration of zinc (Zn) in flesh of O. niloticus and C. nigrodigitatus within and between locations revealed higher value in species within and between locations, except in O. niloticus from Lagos Lagoon (4.71 mg/g) which fell slightly below permissible limit (5.000 mg/g) (Opaluwa et al., 2012), but above permissible limits (0.1 mg/g); (3.000 mg/g) (SON, 2007; WHO, 2003); and (4.250 mg/g). Highest concentration (9.56 mg/g) was revealed in C. nigrodigitatus from Lagos Lagoon which was higher than concentration (0.08 mg/g) obtained in Lagos Lagoon. Differences in concentrations could be or are linked with location, specie(s), age and size specific as observed in the results of the study (Peakall & Burger, 2003). Zinc may induce toxicity, characterized by symptoms of irritability, muscular stiffness and pain, loss of appetite, and nausea (Sharma et al., 2014). Singh et al. (2011) reported that water hardness and pH can intensify toxicity of Zn. Hence, results indicated ecosystem challenge as well as public health attention on consumers long run consumption and accumulations (Singh et al., 2011).

Concentration of copper (Cu) in the flesh of C. nigrodigitatus and O. niloticus within and between location indicated that values obtained were higher than the recommended limit (0.03 mg/g) (Fafioye et al., 2017) and higher than value obtained in Lagos Lagoon (0.52 mg/g). Highest value obtained in C. nigrodigitatus from Lagos Lagoon and lowest value obtained in C. nigrodigitatus collected from Asejire reservoir is indicative of size, specie tolerance/ immunity, and location specific (water parameter) which is affect the condition factor of the fish. And may lead to retarded growth and inhibition of spawning. High concentration of copper can alter haematology (James et al., 2008) respiratory and cardiac physiology (Tchounwou et al., 2012).

Concentration of lead (Pb) in the flesh of C. nigrodigitatus and O. niloticus within and between locations indicated that values obtained had no significant difference between locations and species and within locations. Values obtained are relative to recommended limits (0.010 mg/g) (SON, 2007; WPCL, 2004; EPA, 2002). The result revealed higher deviation from recommended limit (0.0005–0.0006 mg/g); while Pb in C. nigrodigitatus collected from Asejire reservoir had highest value, and O. niloticus from Lagos Lagoon had the least. Water quality and rate at which lead dissolves contributes to its concentration in the environment. Pb causes lamella shrinkage degeneracy of epithelium, ischemia, reduction in growth rate, branchial arterial rupture. Loss in body weight, neurological defect, renal tubular dysfunction, anemia which results in stress condition are other defects of high concentration of Pb (Tchounwou et al., 2012). Concentration of chromium (Cr) in the flesh of C. nigrodigitatus and O. niloticus within and between locations indicated that, O. niloticus from Lagos Lagoon had higher value than recommended limits (0.013 mg/g) (US-FDA, 1993); (0.020 mg/g) (WPCL, 2004); values obtained in O. niloticus species between locations fell below recommended limit (0.050 mg/g) (SON, 2007; EPA, 2002; EC, 1998. Values for C. nigrodigitatus exceeded the recommended limits; as specie specificity is indicated. Chromium (Cr) deficiency results in impaired growth and disturbances in glucose, lipid and protein metabolism; while excess could have undesirable lethal effect on fish and wildlife (Barr, 2018) oxidizes easily from trivalent to hexavalent. Cr ion and is not toxic, but an essential nutrient, but Cr ion is very toxic and damages adrenals, livers and lungs. Exposure of man to high concentration of Cr may cause dermatitis, ulcer, destruction of mucus of nose and cancer of the stomachs. The major source of Cr in water is via industrial effluents.

The study revealed that, there is significant difference in the level of heavy metal determined (P < 0.05). Seasonal impact and rainfall had influence in the level of heavy metals in the fish flesh and these were in the order: Zn > Fe > Cu > Pb > Cr: (6.52 ± 0.82 > 1.84 ± 0.45 > 0.70 ± 0.12 > 0.20 ± 0.00 > 0.01 ± 0.00) for O. niloticus in Asejire reservoir. In Lagos Lagoon, metal order for O. niloticus flesh was ranked: Zn > Fe > Cu > Cr > Pb (4.71 ± 0.25 > 1.46 ± 0.48 > 0.86 ± 0.07 > 0.03 ± 0.00 > 0.01 ± 0.00) Lagos Lagoon C. nigrodigitatus metal level were ranked: Zn > Cu > Fe > Pb > Cr: (9.56 ± 0.96 > 3.69 ± 1.66 > 2.02 ± 0.64 > 0.20 ± 3.40 > 0.06 ± 0.01); and Asejire Reservoir C. nigrodigitatus metal level were ranked: Zn > Cu > Fe > Pb > Cr: (9.56 ±) In all, Zinc (Zn) dominates and top ranked in level among species and between locations indicating stress induced environments.

Conclusion

Samples of fish collected revealed a sequence within normal range of male to female sex ratio; but the variation recorded in size is indicative of environmental influences such as biotic and abiotic factors. Higher condition factor recorded in male fish is indicative of gender differences; and higher length and weight in Lagos Lagoon fish species are indicative of an ecotone environment, rich and receiving input from fresh and marine environments.

Ecosystem status indicated determined heavy metals stressors being location specific, and create public health alert for accumulation and effect on consumers. Hence, stressors synergizing situation exposed fish to high risk health status, which will resultantly become of public concern to man; as such fish may pose as food poisoning.

Availability of data and materials

Please contact authors for data requests.

Abbreviations

AOAC:

Association of Official Analytical Chemists,

ARCN:

Asejire Reservoir Chrysichthys nigrodigitatus

ARON:

Asejire Reservoir Oreochromis niloticus

LLCN:

Lagos Lagoon Chrysichthys nigrodigitatus

LLON:

Lagos Lagoon Oreochromis niloticus

Pb:

Lead

Cr:

Chromium

Zn:

Zinc

Fe:

Iron

Cu:

Copper

ANOVA:

Analysis of Variance

SON:

Standard Organization of Nigeria

US-FDA:

United State—Food and Drug Agency

WPCL:

Water Pollution Control Legislation

EPA:

Environmental Protection Agency

FEPA:

Federal Environmental Protection Agency

EC:

European Commission

NIOMR:

Nigerian Institute for Oceanography and Marine Research

K:

Condition factor

WHO:

World Health Organization

UNEP:

United Nations Environment Programme

References

  • Abidemi-Iromini, A. O. (2019). Assessment of stomach contents of Oreochromis niloticus from the Lagos Lagoon, Nigeria. International Journal of Fisheries and Aquaculture., 11, 1–6.

    Google Scholar 

  • Abidemi-Iromini, A. O., Bello-Olusoji, O. A., & Adebayo, I. A. (2019). Health assessment of Silver catfish (Chrysichthys nigrodigitatus): Hydrodynamic and growth performance in Lagos Lagoon, Nigeria. Iranian Journal of Aquatic Animal Health, 5(2), 37–53.

    Google Scholar 

  • Adebisi, A. A. (1981). Analyses of the stomach contents of the piscivorous fishes of the upper Ogun River in Nigeria. Hydrobiologia, 79(2), 167–177.

    Google Scholar 

  • Adejare, Q. A., Nwilo, P. C., Olusina, J. O., & Opaluwa, Y. D. (2011). A study of ferry service route network in Lagos Lagoon- Nigeria using graph theory. Journal of Geography and Regional Planning., 4(6), 326–337.

    Google Scholar 

  • Ajao, E. A. (1996). Review of the state of pollution of the Lagos Lagoon. Nigerian Institute for Oceanography and Marine Research (NIOMR). Technical paper. 106, 20.

  • Ajao, E. A., Okoye, B.C.O. and Adekanmbi, E.O. (1996). Environmental Pollution in the Nigerian Coastal Waters. A case study of the Lagos Lagoon. In Water quality monitoring and environmental status in Nigeria. Federal Environmental Protection Agency (FEPA). Monograph. 6, 101–112.

  • Anderson, L., FitzGerald, M., & Luck, L. (2010). An integrative literature review of interventions to reduce violence against emergency department nurses. Journal of Clinical Nursing, 19(18), 2520–2530.

    PubMed  Google Scholar 

  • Anetekhai, M. A. (1997). Moulting, meristics and morphometric in the African river prawn, Macrobrachium vollenhovenii (Herklots, 1857), from Asejire Lake, Oyo State, Nigeria. Journal of Prospects Science, 1, 110–114.

    Google Scholar 

  • AOAC. (2007). Official methods of analysis (18th ed.). Association of Official Analytical Chemists.

    Google Scholar 

  • Asseez, L. O., Fayose, E. A., & Omotola, M. E. (1974). Ecology of Ogun River Estuary, Nigeria. Paleogeography, Paleoclimatology, Paleoecology., 16, 243–260.

    Google Scholar 

  • Authman, M. M. N., Zaki, M. S., Khallaf, E. A., & Abbas, H. H. (2015). Use of fish as bio-indicator of the effects of heavy metals pollution. Journal of Aquaculture Research Development, 6, 328.

    Google Scholar 

  • Ayoade, A. A., Fagade, S. O., & Adebisi, A. A. (2006). Dynamics of Limnological features of two man-made lakes in relation to fish production. African Journal of Biotechnology., 5(10), 1013–1021.

    Google Scholar 

  • Barr, A. J. (2018). The biochemical basis of disease. Essays in Biochemistry, 62(5), 619–642.

    PubMed  PubMed Central  Google Scholar 

  • Chi, Q. Q., Zhu, G. W., & Langdon, A. (2007). Bioaccumulation of heavy metals in fishes from Taihu Lake, China. Journal of Environmental Science, 19(12), 1500–1504.

    CAS  Google Scholar 

  • Coale, K. H. (1991). Effects of iron, manganese, copper and zinc enrichments on productivity and biomass in the sub-Arctic Pacific. Limnology and Oceanography, 36, 1851–1864.

    CAS  Google Scholar 

  • Dallman, P. R. (2006). Biochemical basis for the manifestations of iron deficiency. Annual Review of Nutrition, 6, 13–40.

    Google Scholar 

  • Davis, S. J., Wiegand, B. A., Carroll, A. R., & Chamberlain, C. P. (2008). The effect of drainage reorganization onpaleoaltimetry studies: an example from the Paleogene Laramide foreland. Earth and Planetary Science Letters, 275, 258–268.

    CAS  Google Scholar 

  • DÄ°rÄ°lgen, N. (2001). Accumulation of heavy metals in freshwater organisms: Assessment of toxic interactions. Turkish Journal of Chemistry, 25(2), 173–179.

    Google Scholar 

  • EC Directive. (1998). European Standard, Maximum Levels for Heavy Metal Concentration in Marine Fish. 02/221EEC.1-283. European Commission for standardization.

  • Ekeanyanwu, R. C., Nwokedi, C. L., & Noah, U. T. (2015). Monitoring of metals in Tilapia nilotica tissues, bottom sediments and water from Nworie River and Oguta Lake in Imo State, Nigeria. African Journal of Environmental Science and Technology., 9(8), 682–690.

    CAS  Google Scholar 

  • Enaikele, M. D., & Olutayo, A. O. (2010). Explorative analysis of the effect of inland fisheries decree on sustainable exploitation of inland fisheries in Lagos State, Nigeria. Journal of Agricultural Extension and Rural Development., 2(8), 154–160.

    Google Scholar 

  • Environmental Protection Agency (EPA). (2002). Risk assessment: Technical background information. RBG Table. Available from http://www.epa.gov/reg3hwmd/risk.

  • Fafioye, O. O., Oladunjoye, R. Y., Bamidele, T. T., & Ige, T. A. (2017). Determination of heavy metal levels in Oreochromis niloticus and Chrysichthys nigrodigitatus from Ogun River, Nigeria. International Journal of Fisheries and Aquaculture, 9(8), 86–91.

    CAS  Google Scholar 

  • Ferrara, R., Mazzolai, B., Lanzillotta, E., Nucaro, E., & Pirrone, N. (2000). Temporal trends in gaseous mercury evasion from the Mediterranean seawaters. Science of the Total Environment, 259(1–3), 183–190.

    CAS  Google Scholar 

  • Froese, R. (2006). Cube law, condition factor and weight-length relationships: History, meta-analysis and recommendations. Journal of Applied Ichthyology, 22(4), 241–253.

    Google Scholar 

  • Gebrekiros, S. T. (2016). Factors affecting stream fish community composition and habitat suitability. Journal of Aquaculture and Marine Biology, 2, 00076.

    Google Scholar 

  • George, P., Dumenco, L., Dollase, R., Taylor, J. S., Wald, H. S., & Reis, S. P. (2013). Introducing technology into medical education: Two pilot studies. Patient Education and Counseling, 93, 522–524.

    PubMed  Google Scholar 

  • Guerin, T., Chekri, R., Vastel, C., Sirot, V., Volatier, J. L., Leblanc, J. C., & Noel, L. (2011). Determination of 20 trace elements in fish and other sea food from the French market. Food Chemistry, 127, 934–942.

    CAS  PubMed  Google Scholar 

  • Guillaume, C., Pierre, D., Jean-Marie, S., & Bruno, B. (2007). Molecular basis of fructose utilization by the wine yeast Saccharomyces cerevisiae: A mutated HXT3 allele enhances fructose fermentation. Applied Environmental Microbiology, 73(8), 2432–2439.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Harmon, S., & Wiley, F. (2010). Effects of pollution on freshwater organisms. Water Environment Research, 82(10), 1945–2000.

    CAS  Google Scholar 

  • Ipeaiyeda, A. R., & Onianwa, P. C. (2018). Monitoring and assessment of sediment contamination with toxic heavy metals: Case study of industrial effluent dispersion in Alaro River, Nigeria. Applied Water Science, 8, 161. https://doi.org/10.1007/s13201-018-0815-6

    Article  CAS  Google Scholar 

  • James, T. C., Usher, J., Campbell, S., & Bond, U. (2008). Lager yeasts possess dynamic genomes that undergo rearrangements and gene amplification in response to stress. Current Genetic, 53(3), 139–152.

    CAS  Google Scholar 

  • Khayatzadeh, J., & Abbasi, E. (2010). The effects of heavy metals on aquatic animals. In The 1st international applied geological congress. Department of Geology, Islamic Azad University—Mashad Branch, Iran.

  • Koenig, A., Zhang, T., Liu, L. H., & Fang, H. H. (2005). Microbial community and biochemistry process in autosulfurotrophic denitrifying biofilm. Chemosphere, 58(8), 1041–1047.

    CAS  PubMed  Google Scholar 

  • Kristina, M. M., Teffer, A., Tucker, S., Li, S., Schulze, A. D., Trudel, M., Juanes, F., Tabata, A., Kaukinen, K. A., Ginther, N. G., Ming, T. J., Cooke, S. J., Hipfner, M. J., Patterson, D. A., & Hinch, S. G. (2014). Infectious disease, shifting climates, and opportunistic predators: cumulative factors potentially impacting wild salmon declines. Evolution Applied., 7(7), 812–855.

    Google Scholar 

  • Nickum, J. G., Bart, H. L., Bowser, P. R., Greer, I. E., Hubbs, C., Jenkins, J. A., MacMillan, J. R., Rachlin, J. W., Rose, J. D., Sorensen, P. W., & Tomasso, J. R. (2004). Guidelines for the use of fishes in research. American Fisheries Society.

    Google Scholar 

  • Opaluwa, O. D., Aremu, M. O., Ogbo, L. O., Abiola, K. A., Odiba, I. E., Abubakar, M. M., & Nweze, NOd. (2012). Heavy metal concentrations in soils, plant leaves and crops grown around dump sites in Lafia Metropolis, Nasarawa State, Nigeria. Advances in Applied Science Research, 3(2), 780–784.

    CAS  Google Scholar 

  • Pauly, D. (1983). Some simple methods for the assessment of tropical fish stocks. FAO. Fisheries Technical paper. 234.52.

  • Peakall, D., & Burger, J. (2003). Methodology for assessing exposure to metals: speciation, bioavailability of metals and ecological host factors. Ecotoxicology and Environmental Safety., 56, 110–121.

    CAS  PubMed  Google Scholar 

  • Sharma, B., Singh, S., & Siddiqi, N. J. (2014). Biomedical implications of heavy metals induced imbalances in redox systems. BioMed Research International, 2014, 640754.

    PubMed  PubMed Central  Google Scholar 

  • Singh, R., Gautam, N., Mishra, A., & Gupta, R. (2011). Heavy metals and living systems: An overview. Indian Journal of Pharmacology, 43(3), 246–253.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Sogbanmu, T. O., Nagy, E., Phillips, D. H., Arlt, V. M., Otitoloju, A. A., & Bury, N. R. (2016). Lagos lagoon sediment organic extracts and polycyclic aromatic hydrocarbons induce embryotoxic, teratogenic and genotoxic effects in Danio rerio (zebrafish) embryos. Environmental Science and Pollution Research International, 23(14), 14489–14501.

    CAS  PubMed  PubMed Central  Google Scholar 

  • Standard Organization of Nigeria (SON). (2007). Nigerian Standard for Drinking Water Quality. Standards Organisation of Nigeria.

    Google Scholar 

  • Taylor, C. (1997). Fish species richness and incidence patterns in isolated and connected stream pools: Effects of pool volume and spatial position. Oecologia, 110, 560–566.

    PubMed  Google Scholar 

  • Tchounwou, P. B., Yedjou, C. G., Patlolla, A. K., & Sutton, D. J. (2012). Heavy metal toxicity and the environment. Experientia Supplementum, 2012(101), 133–164.

    Google Scholar 

  • Turkmen, M., & Ciminli, C. (2007). Determination of metals in fish and mussel species by inductively coupled plasma-atomic emission spectrometry. Food Chemistry, 103, 670–675.

    Google Scholar 

  • UNEP. (2016). A snapshot of the world’s water quality: Towards a global assessment. United Nations Environment Programme (UNEP).

    Google Scholar 

  • US Environmental Protection Agency. (2015). Lead: EPA Review on learn about lead.14.

  • US-FDA. (1993). Food and drug administration, guidance document for nickel in shell fish. DHHS/PHS/FDA/CFSAN/office of Sea Food, Washington D.C. 23.

  • Water Pollution Control Legislation (WPCL). (2004). Land-based water quality classification. Official Journal, Turkey 256–287.

  • World Health Organisation, WHO. (2003). Malathion in drinking water. Background document for preparation of WHO guidelines for drinking water quality (pp. 52–55). World Health Organisation (WHO/SDE/WSH/03.04/103), Geneva.

  • Wyse, E. J., Zemand, S. A., & de Mora, S. J. (2003). World wide inter comparison exercise for the determination of trace elements and methylmercury in fish homogenate IAEA-407. International Atomic Energy Agency Marine Environment Laboratory.

    Google Scholar 

  • Wu, H., Liao, Q., Chillrud, S. N., Yang, Q., Huang, L., Bi, J., & Yan, B. (2016). Environmental exposure to cadmium: Health risk assessment and its associations with hypertension and impaired kidney function. Scientific Reports, 6, 29989.

    CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Authors appreciate the effort of Mr. Michael Ojuola (Technologist, Fisheries and Aquaculture Technology Department, Federal University of Technology, Akure) for his assistance in the laboratory during the research work.

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This research work, design and analysis were carried out by all the authors. The manuscript was put together by AOA. All authors read and approved the final manuscript.

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Correspondence to Atilola O. Abidemi-Iromini.

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The research involves collection of samples from animal (fish) subjects. Community representatives were contacted in the selected environments for permission to carry out the field assessments and research work. Guidelines according to Nickum et al. (2004) were followed in collection of fish samples. Heavy metal analysis regulation was done according to AOAC (2007) and EPA (2015).

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Abidemi-Iromini, A.O., Bello-Olusoji, O.A. & Adebayo, I.A. Bioaccumulation of heavy metals in silver catfish (Chrysichthys nigrodigitatus) and tilapia fish (Oreochromis niloticus) from the brackish and freshwater in South-West, Nigeria. JoBAZ 83, 18 (2022). https://doi.org/10.1186/s41936-022-00272-z

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