Next Article in Journal
Extension of the Theory of Planned Behavior (TPB) to Predict Patterns of Marijuana Use among Young Iranian Adults
Previous Article in Journal
Affordability and Availability of Child Restraints in an Under-Served Population in South Africa
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Genotoxicity and Oxidative Stress in Experimental Hybrid Catfish Exposed to Heavy Metals in a Municipal Landfill Reservoir

by
Lamyai Neeratanaphan
1,2,
Chuchart Kamollerd
1,3,
Pimchanok Suwannathada
1,3,
Pongthorn Suwannathada
1,3 and
Bundit Tengjaroenkul
1,3,*
1
Research Group on Toxic Substances in Livestock and Aquatic Animals, Khon Kaen University, Khon Kaen 40002, Thailand
2
Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand
3
Faculty of Veterinary Medicine, Khon Kaen University, Khon Kaen 40002, Thailand
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(6), 1980; https://doi.org/10.3390/ijerph17061980
Submission received: 5 February 2020 / Revised: 7 March 2020 / Accepted: 9 March 2020 / Published: 17 March 2020

Abstract

:
This study aimed to investigate the concentrations of Cr, Cd and Pb in the water, sediment and experimental hybrid catfish muscles, and to compare the genetic differentiation and the levels of oxidative stress biomarkers (malondialdehyde and protein carbonyl) between the catfish from the contaminated reservoir near a municipal landfill and the reference area after chronic exposure. The concentrations of all metals in the water and the concentration of Cd in the sediment exceeded Thailand’s surface water quality and soil quality standards, respectively, whereas the concentrations of these metals in fish muscles did not exceed Thailand’s food quality standards. Dendrogram results in terms of genetic similarity values of the catfish from the reference and the landfill areas were 0.90 to 0.96 and 0.79 to 0.86, respectively, implying that the genetic differentiation of the fish from the landfill was greater than of those from the reference area. The fish in the landfill reservoir had slightly increased protein carbonyl levels. The results indicate that chronic heavy metal exposure can cause genotoxicity of the hybrid catfish and induce protein carbonyl as an oxidative stress biomarker in the reservoir near a municipal landfill.

1. Introduction

Municipal and commercial communities have rapidly and continuously expanded in Khon Kaen Province, Thailand [1]. This expansion has been accompanied by the increase of both municipal and commercial solid waste. Due to improper landfill waste management, toxic leachate that can spread heavy metals and other toxic substances around the Khon Kaen municipal landfill environment is present [2]. The major metal contaminants in the Khon Kaen municipal landfill are chromium (Cr), cadmium (Cd) and lead (Pb) [3,4,5,6,7]. Sriuttha et al. [7] demonstrated that concentrations of Cr, Cd and Pb in the water and sediment near the municipal landfill were 0.016 ± 0.009, not detected and 0.009 ± 0.0006 mg/L, and 19.91 ± 0.96, 0.47 ± 0.23 and 5.40 ± 0.13 mg/kg, respectively, whereas Intamat et al. [6] determined that arsenic (As) concentrations in the water, sediment and tilapia fish muscles in the landfill environment were 0.006 ± 0.002, 1.08 ± 0.64 and 0.16 ± 0.16 mg/kg, respectively. From previous reports, these toxic metals can spread from hazardous waste, such as metal containers, light bulbs and batteries, into leachate and surrounding reservoirs [8,9], and can be absorbed and accumulated in aquatic organisms, including fish [10]. Intamat et al. [6] and Sriuttha et al. [7] found that the Cr concentration in Anabas testudineus and Rasbora tornieri as well as the Cd concentrations in Barbonymus gonionotus and Oreochromis niloticus exceeded the limit of the international standard; additionally, Pb and As concentrations in all four Khon Kaen landfill fish species exceeded the international standards. Generally, fish living in toxic metal-contaminated reservoirs can absorb the metals through their gills, skin and digestive tract [2,11,12], which can lead to biomagnification, and can cause health risks to consumers [13].
Several research studies have demonstrated molecular biomarkers after heavy metal exposure in fish, particularly through the application of extensive molecular (including whole genome) approaches to test genotoxicity in fish, including the damage on chromosome and deoxyribonucleic acid (DNA) structures [8,9]. Furthermore, many reports have shown that heavy metals induce an imbalance between the production and reduction of free radical species, i.e., causing oxidative stress in fish [14,15]. The free radicals can attack both phospholipid cell membranes and intracellular protein molecules to induce the oxidative stress products, including increased protein carbonyl levels [16,17,18,19]. Recently, the types and amount of oxidative stress products have been considered as biomarkers for environmental indices in terms of both status and situation of aquatic ecosystems [20,21,22,23]. The effects of toxic metals on aquatic animals have been reported, but information on their consequences to DNA patterns and oxidative stress to fish after both acute and chronic exposure in landfill ecosystems is limited. Therefore, the aims of this study were to investigate heavy metal accumulation as well as to compare genetic differentiation and oxidative stress biomarkers after chronic exposure between the experimental hybrid catfish from the reservoirs near the municipal landfill and the reference area. The effects of heavy metals from municipal landfill leachate on the fish in this study can be used to help make laws, policies, standards and guidelines in collaboration with government and local administration agencies with sustainable ecosystem management at present and in the future.

2. Materials and Methods

2.1. Study Site

A reservoir near the Khon Kaen municipal landfill as the study site was located at latitude 16°35′41.30″ N and longitude 102°48′12.11″ E (Figure 1), and its geographic coordinate is UTM 48Q N 1,835,718 E 266,085 at a height of 200 m above sea level.

2.2. Fish and Experimental Design

Juvenile hybrid catfish (Clarias gariepinus x C. macrocephalus) weighing approximately 14 g were cultured at a density of 30 fish/m2 in 3 × 3 m in floating net cages in a reservoir that received leachate from the Khon Kaen municipal landfill. The experimental catfish were randomly divided into 2 groups (reference and landfill) with 3 replications of each group, and they were fed on commercial feed pellet (Charoen Pokphan Co., Thailand) at 9% by weight, 3 times per day for 4 months simulating the length of catfish production as in commercial fishery practice. At the end of the experiment, each catfish muscle was measured for heavy metal concentrations, the gills and liver were excised for genetic differentiation evaluation and blood plasma was collected from the tail vessels for the plasma oxidative stress test. The reference catfish were collected from the Inland Fisheries Research and Development Center, Khon Kaen, Thailand, which was set as the non-affected heavy metal contamination area.

2.3. Water Quality Parameters

Water-dissolved oxygen, pH, temperature, total dissolved solids and electro-conductivity were measured at the experimental reservoirs using mobile digital meters at 9:00 a.m. Total ammonia nitrogen was measured using the standard titration method [24] (Table 1).

2.4. Heavy Metal Measurements

The collected water and sediment samples after chronic exposure for 4 months were digested following the Environmental Protection Agency (EPA) method 6010, and the Cr, Cd and Pb concentrations were analyzed using inductively coupled plasma optical emission spectrometry (ICP-OES) [25]. The detection limits of each analyzed metal were 0.001 mg/kg for Cr as well as Cd, and 0.005 mg/kg for Pb. The ICP-OES wavelengths for the Cr, Cd and Pb analyses were 226.502, 188.979 and 267.716 nm, respectively.
Analyses of blanks and standards were conducted at every 10th sample. The concentrations of the heavy metals in the procedural blanks were significantly <5% of the mean analyzed concentrations for all metals. Replications of the analyses were conducted to guarantee the precision and accuracy of all metal measurements. The results were found not to deviate by more than 2% of the certified levels [24]. The heavy metal recovery values were calculated by acceptance in the range of 85–115% [26]. The results were 90–100% of the acceptable values and considered as accurate.

2.5. Genotoxicity Study

The mixtures of extracted DNA molecules from the fish gills and livers were successfully amplified by 25 inter-simple sequence repeat (ISSR) primers (Table 2) in a PCR cycler (Flex Cycler2, Analytikjena) [27]. Each DNA band was evaluated and recorded as the following diallelic characters: present = 1 and absent = 0. All of the evaluated band results were transferred to the set dendrogram for genetic similarity/differentiation evaluation of the catfish from the studied areas [28].

2.6. Oxidative Stress Biomarkers

After being cultured in the landfill reservoir, the blood plasma of ten experimental catfish was collected to measure malondialdehyde (MDA) from thiobarbituric acid [29,30], and to measure protein carbonyl (PC) from its reaction with dinitrophenylhydrazine [30].

2.7. Statistical Analyses

For statistical analyses of the genotoxicity study, each evaluated DNA band was transferred to the set dendrogram by the NTSYSpc 2.1 program [28], and for the oxidative stress test, levels of the plasmas’ MDA and PC from the landfill and reference catfish were analyzed using the Mann–Whitney U-test. All of the statistical tests were conducted at a 95% confidence level.

3. Results

3.1. Water Quality Parameters

The water quality parameters of the reference and the landfill reservoir water samples after four months of the experiment are shown in Table 3.

3.2. Heavy Metal Concentrations

The heavy metal concentrations in the water, sediment and catfish muscles from the reference and landfill reservoirs are shown in Table 4 and Table 5.

3.3. Genotoxicity

The extracted DNA from the gills and livers of the catfish were mixed for genotoxicity evaluation. The 25 ISSR primers were succeeded to produce good quality DNA bands. Examples of ISSR fingerprints from the samples in the reference and landfill catfish are shown in Figure 2. The ISSR patterns generated 2613 total bands (ranging in size from 200 bp to 20,000 bp) with 352 characteristics, including 164 similar bands and 188 different bands. All bands were applied to the set dendrogram according to the Dice coefficient. The dendrogram results separated the DNA samples into two groups based on the studied areas. The first group was comprised of five reference catfish samples (1.1–1.5), and the second group was comprised of five landfill catfish samples (2.1–2.5) (Figure 3). The genetic similarity values among the individuals of the catfish from the reference and landfill areas are shown in Table 6.
The genetic similarity values of fish samples ranged from 0.90 to 0.96 for samples 1.1–1.5, and from 0.79 to 0.86 for samples 2.1–2.5, respectively. Comparing data of genetic similarity values between each individual fish, the lowest genetic similarity value was 0.65 between the fish samples 1.4 and 2.4. On the other hand, the highest genetic similarity value was 0.96 between the fish samples 1.1 and 1.2 (Table 6).

3.4. Oxidative Stress Biomarkers

3.4.1. Malondialdehyde

Levels of plasma MDA in the catfish are shown in Figure 4. The catfish from the reservoir near the Khon Kaen municipal landfill revealed a decrease in plasma MDA but no significant difference as compared with the reference catfish (P > 0.05).

3.4.2. Protein Carbonyl

The levels of plasma PC in the catfish are shown in Figure 5. In comparison with the plasma PC of the reference fish (1.11 nmol/mg protein), the PC of the landfill fish demonstrated a slightly greater level (1.15 nmol/mg protein), but not significantly different (P > 0.05).

4. Discussion

4.1. Water Quality Parameters

The results of the water quality parameters of the reference and the landfill reservoir water samples after four months of the experiment (Table 3) were not significantly different, and were within the standards for fishery practices [24]. Water quality data revealed conditions of landfill leachate and its suitability for aquatic ecosystems. Low water quality can negatively induce stress, metabolism, reproduction, genetics and health of fish [34,35,36]. In this study, the water quality parameters from the reference and the landfill reservoirs were within Thailand’s standard limits for surface water sources [1,37]; therefore, genotoxicity and plasma oxidative stress consequences in chronically exposed catfish may not be as affected by the water quality parameters in the landfill reservoir.

4.2. Heavy Metal Concentrations

The concentrations of Cr, Cd and Pb in the water and Cd concentration in the sediment exceeded Thailand’s water quality standards for surface water sources and Thailand’s soil quality standard, respectively [1]. The metal concentrations in the catfish muscles did not exceed Thailand’s food quality standards [33]. Management of waste in the Khon Kaen municipal landfill was not appropriate, resulting in the increase of municipal and hazardous metals, which can spread to leachate and can be potential sources of heavy metals to affect fish in the landfill reservoir [5]. Similar to other polluted landfills, heavy metal contamination in the Khon Kaen landfill leachate and sediment of the reservoir can be transferred and accumulated in aquatic organisms [10]. The bioaccumulation phenomena were identified by the reports of Intamat et al. [6] and Promsid [38], who demonstrated heavy metal accumulation in plants and fish, for example, Monopterus albus, Channa striata and C. batrachus. Intamat et al. [6] showed that As in landfill fish B. gonionotus, R. tornieri, A. testudineus and O. niloticus exceeded Thailand’s food quality standards. Sriuttha et al. [7] revealed that the Cr concentration in A. testudineus and R. tornieri as well as the Cd concentration in B. gonionotus and O. niloticus exceeded the limit of international standards (FAO, USA), and the Pb concentrations in four fish species exceeded the limit of international standards. Furthermore, this study investigated the Cr, Cd and Pb concentrations in the hybrid catfish as an important fish species consumed throughout local communities near the Khon Kaen municipal landfill. Generally, the hybrid catfish in the floating net cages in the landfill reservoir, after four months, could simulate the experimental condition as in fishery practices in Thailand. Because the experimental hybrid catfish had a relatively long period of exposure (four months), they could continuously accumulate heavy metals from leachate and sediments into their bodies [39,40,41,42]. The metal accumulations in the catfish probably occurred because they are a scaleless skin species with a large body surface area. Similar to several studies, chronic exposure of Pb and Cr in African catfish (C. gariepinus) may lead to stress, morphology changes in the gills and liver, ionic regulatory alterations, DNA damage as well as genetic polymorphism [42,43,44,45,46,47].
The fish that accumulate toxic heavy metals can do harm to consumers in local communities, inducing detrimental disorders and diseases related to these metals [48,49,50]. In general, the potential health risk from accumulated metals in the fish in the landfill reservoir to consumer health depends on several factors, including species, concentration, time and kinetics of the heavy metals contained in the exposed animals [51,52].

4.3. Genotoxicity

The ISSR patterns from 25 successful primers in this study produced 2613 total DNA bands with 188 different bands. The results of the dendrogram separated the fish DNA samples into two groups based on the studied areas. As the concentrations of Cr, Cd and Pb in the fish from the contaminated reservoir were higher than the fish from the reference area, the genetic differentiation values of the fish from the contaminated reservoir were greater than of the fish from the reference area. These findings suggest that the metal accumulations in the landfill fish could affect their genotoxicity in terms of the molecular nucleic acid profile. In contaminated environments, heavy metal exposure could demonstrate genotoxicity effects as DNA damages in fish as single- and double-strand breakages, alterations in DNA repair processes, oxidation of nucleic bases and DNA-protein crosslinks [19,53,54]. When heavy metals enter the cell membranes, they generally can cause genotoxicity through several mechanisms. For example, Cr exposure revealed modification of the DNA nitrogenous base, DNA strand breakage and protein-Cr-DNA adducts [18,55,56]. Cd can induce oxidative stress, ploidy changes, substitutions and oxidization in gene bases, DNA damage, mutagenesis, deletions and point mutations [16,57]. Pb can induce oxidative damages, alteration in gene transcription, mitogenesis, carcinogenic events involved in DNA damage and other indirect genotoxic changes [58]. Furthermore, the loss of DNA’s structural or functional integrity in exposed organisms can initiate deleterious effects at both the individual and population levels, especially through impaired growth or reproduction [58,59,60]. Therefore, experimental catfish could be a potential genotoxicity as bioindicator in aquatic ecosystems. In addition, local communities around the municipal landfill should increase their concern and enhance environmental management to reduce and prevent the risks to human health from consuming the heavy metals accumulated in the fish from the landfill reservoir.

4.4. Oxidative Stress Biomarker

4.4.1. Malondialdehyde

Levels of plasma MDA in the catfish from the reservoir near the Khon Kaen municipal landfill revealed a decrease in plasma MDA and no significant difference as compared with the reference fish. Generally, contaminated landfill reservoir leachate and sediments are usually comprised of complex mixtures of heavy metals that accumulate in aquatic organisms [10]. Heavy metals can induce reactive oxygen and nitrogen species, i.e., causing free radical overload or oxidative stress in aquatic organisms, including fish [15]. Evaluation of oxidative damage in fish can directly reflect metal exposure in an aquatic environment, which could affect the health of the creatures [14]. Contaminated heavy metals in living fish generally interact with cell membrane phospholipid molecules, nuclear proteins and nuclear nucleic acids, resulting in increases in MDA and fragmentation of DNA strands [14,15].
MDA is a product derived from lipid peroxidation on cell membrane phospholipids and circulating lipids, and an increased level of MDA content directly involves a degree of oxidative injury from the toxic agents [61,62,63]. The flounder, catfish, killifish, mullet and stickleback revealed an increase in MDA after exposure to pollutants [64,65,66]. In this study, a slight decrease in plasma MDA levels was found in the hybrid catfish, indicating that the fish may possess strengthened cellular structures and/or metabolic processes as well as enzymes to protect themselves from the presence of heavy metals and oxidative stress products. Therefore, the hybrid catfish could be less affected from oxidative stress on cell pathology and homeostasis such as protein metabolism, glutathione pathways and mitochondrial functions than other fish species [67,68]. Presently, oxidative stressed fish have revealed different responses according to the types and concentrations of the pollutants as well as the habitat and feeding behavior of the fish [68].

4.4.2. Protein Carbonyl

In comparison with the plasma PC of the reference fish (1.11 nmol/mg protein), the PC of the landfill fish demonstrated a slightly greater level (1.15 nmol/mg protein), but not significantly different. Generally, the occurrence of PC correlates with protein damages caused by oxidative stress, which has been demonstrated from a number of diseases and/or tissue lesions [69]; therefore, PC can be a marker as a result of the degradation of enzymes, the alterations of amino acid structures and the changes of protein functions [70,71,72,73]. In accordance with previous reports, the elevated level of PC in the catfish from the landfill reservoir could suggest that metal pollutants may cause protein damage as a consequence of oxidative stress.

5. Conclusions

The concentrations of Cr, Cd and Pb in the experimental hybrid catfish after chronic exposure to heavy metals in a reservoir near a municipal landfill for four months did not exceed Thailand’s food quality standards. Compared to the fish in the reference area, the fish in the landfill area demonstrated a relatively greater genetic differentiation with no differences between both fish groups according to MDA and PC values. Results of the study can conclude that Cr, Cd and Pb can potentially induce genetic alterations, and there is no oxidative stress in the hybrid catfish from the reservoir near the Khon Kaen municipal landfill.

Author Contributions

Conceptualization, B.T. and L.N.; methodology, B.T., L.N. and P.S. (Pimchanok Suwannathada); software, P.S. (Pongthorn Suwannathada); validation, B.T. and L.N.; formal analysis, P.S. (Pongthorn Suwannathada); investigation, B.T. and L.N.; resources, C.K.; writing—original draft preparation, L.N.; writing—review and editing, B.T., L.N. and C.K.; supervision, B.T. and C.K.; project administration, B.T. and L.N.; funding acquisition, C.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Khon Kaen University, Thailand.

Acknowledgments

The authors would like to thank the Research Group on Toxic Substances in Livestock and Aquatic Animals, Khon Kaen University, Khon Kaen, Thailand.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Pollution Control Department (PCD). Thailand State of Pollution Report 2014; Pollution Control Department, Ministry of Natural Resources: Bangkok, Thailand, 2014.
  2. Papadimitriou, E.P.; Loumbourdis, N.S. Copper kinetics and hepatic metallothionein levels in the frog Rana ridibunda, after exposure to CuCl2. Biometals 2003, 16, 271–277. [Google Scholar] [CrossRef]
  3. Pourret, O.; Hursthouse, A. It’s time to replace the term “heavy metal” with “potentially toxic elements” when reporting environmental research. Int. J. Environ. Res. Pub. Health. 2019, 16, 4446. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Pourret, O. On the necessity of banning the term “heavy metal” from the scientific literature. Sustainability 2018, 10, 2879. [Google Scholar] [CrossRef] [Green Version]
  5. Sarun, K. Analysis of Hazardous Waste Stream in Khon Kaen Metropolitan Municipality. Master’s Thesis, Environmental Engineering, Graduate School, Khon Kaen University, Khon Kaen, Thailand, 2004. [Google Scholar]
  6. Intamat, S.; Buasriyot, P.; Sriuttha, M.; Tengjaroenkul, B.; Neeratanaphan, L. Bioaccumulation of arsenic in aquatic plants and animals near a municipal landfill. Int. J. Environ. Studies. 2017, 74, 303–314. [Google Scholar] [CrossRef]
  7. Sriuttha, M.; Tengjaroenkul, B.; Intamat, S.; Phoonaploy, U.; Thanomsangad, P.; Neeratanaphan, L. Cadmium, chromium and lead accumulation in aquatic plants and animals from a municipal landfill. Hum. Ecol. Risk. Assess. 2017, 23, 350–363. [Google Scholar] [CrossRef]
  8. Oost, R.; Beyer, J.; Vermeulem, N.P.E. Fish bioaccumulation and biomarkers in environmental risk assessment: A review. Environ. Toxicol. Pharmacol. 2003, 13, 57–149. [Google Scholar] [CrossRef]
  9. Agency for Toxic Substances and Disease Registry (ATSDR). Toxicological Profile for Lead; Agency for Toxic Substances and Disease Registry: Washington DC, USA, 2007.
  10. Luoma, S.; Rainbow, P. Sources and Cycles of Trace Metals. In Metal Contamination in Aquatic Environments: Science and Lateral Management; Cambridge University Press: Cambridge, UK, 2008. [Google Scholar]
  11. Kamunde, C.; Grosell, M.; Higgs, D.; Wood, C.M. Copper metabolism in actively growing rain bow trout (Oncorhynchus mykiss): Interactions between dietary and waterborne copper uptake. J. Experiment. Biol. 2002, 205, 279–290. [Google Scholar]
  12. Robinson, B.; Duwig, C.; Bolan, N.; Kannathasan, M.; Saravanan, A. Up take of arsenic by New Zealand watercress (Lepidium sativum). Sci. Total. Environ. 2003, 301, 67–73. [Google Scholar] [CrossRef]
  13. Godt, J.; Scheigig, F.; Grosse-Siestrup, C.; Esche, V.; Brandenburg, P.; Reich, A.; Groneberg, D.A. The toxicity of cadmium and resulting hazards for human health. J. Occupat. Med. Toxicol. 2006, 1, 22. [Google Scholar] [CrossRef] [Green Version]
  14. Livingstone, D. Oxidative stress in aquatic organism in relation to pollution and agriculture. Rev. de Med. Vet. 2003, 154, 427–430. [Google Scholar]
  15. Sevcikova, M.; Modra, H.; Slaninova, A.; Svobodova, Z. Metals as a cause of oxidative stress in fish: A review. Vet. Med. 2011, 56, 537–546. [Google Scholar] [CrossRef] [Green Version]
  16. Castano, A.; Becerril, C. In vitro assessment of DNA damage after short and long-term exposure to benzo (a) pyrene using RAPD and the RTG-2 fish cell line. Mutat. Res. 2004, 552, 141–151. [Google Scholar] [CrossRef] [PubMed]
  17. Talas, Z.S.; Orun, I.; Ozdemir, I.; Erdogan, K.; Alkan, A.; Yilmaz, I. Antioxidative role of selenium against the toxic effect of heavy metals (Cd+2, Cr+3) on liver of rainbow trout (Oncorhynchus mykiss, Walbaum 1792). Fish. Physiol. Biochem. 2008, 34, 217–222. [Google Scholar] [CrossRef] [PubMed]
  18. Velma, V.; Tchounwou, P.B. Oxidative stress and DNA damage induced by chromium in liver and kidney of goldfish, Carassius aurata, Biomark. Insights 2013, 8, 43–51. [Google Scholar]
  19. Vilela, C.L.S.; Bassin, J.P.; Peixoto, R.S. Water contamination by endocrine disruptors: Impacts, microbiological aspects and trends for environmental protection. Environ. Pollut. 2018, 235, 546–559. [Google Scholar] [CrossRef]
  20. Skorbiłowicz, E. Aquatic plants as bioindicators of contamination of upper Narew river and some of its tributaries with heavy metals. Environ. Prot. Eng. 2009, 35, 65–77. [Google Scholar]
  21. Burlibasa, L.; Gavrila, L. Amphibians as model organisms for study environmental genotoxicity. Appl. Ecol. Environ. Res. 2011, 9, 1–15. [Google Scholar] [CrossRef]
  22. Webb, D. Freshwater shrimp (Palaemonetes australis) as a potential bioindicator of crustacean health. Environ. Monit. Assess. 2011, 178, 537–544. [Google Scholar] [CrossRef]
  23. Authman, M.M.N.; Zaki, M.S.; Khallaf, E.A.; Abbas, H.H. Use of fish as bio-indicator of the effects of heavy metals pollution. J. Aquacult. Res. Develop. 2015, 6, 328. [Google Scholar] [CrossRef]
  24. American Public Health Association (APHA). Standard Methods for the Examination of Water and Wastewater; American Public Health Association: Washington DC, USA, 2005. [Google Scholar]
  25. Neeratanaphan, L.; Khamlerd, C.; Chowrong, S.; Intamat, S.; Sriuttha, M.; Tengjaroenkul, B. Cytotoxic assessment of flying barb fish (Esomus metallicus) from a gold mine area with heavy metal contamination. Int. J. Environ. Studies 2017, 74, 613–624. [Google Scholar] [CrossRef]
  26. US Environmental Protection Agency (USEPA). Bioaccumulation Testing and Interpretation for the Purpose of Sediment Quality Assessment; Bioaccumulation Analysis Workgroup, US Environmental Protection Agency: Washington, DC, USA, 2000.
  27. Tengjaroenkul, B.; Intamat, S.; Thanomsangad, P.; Phoonaploy, U.; Neeratanaphan, L. Cytotoxic effect of sodium arsenite on the Nile tilapia (Oreochromis niloticus) in vivo. Int. J. Environ. Studies. 2018, 75, 580–591. [Google Scholar] [CrossRef]
  28. Rohlf, F.J. NTSYSpc: Numerical Taxonomy and Multivariate Analysis Version 2.2; Applied Biostatistics Inc.: New York, NY, USA, 2009. [Google Scholar]
  29. Luangaram, S.; Kukongviriyapan, U.; Pakdeechote, P.; Kukongviriyapan, V.; Pannangpetch, P. Protective effects of quercetin against phenylhydrazine-induced vascular dysfunction and oxidative stress in rats. Food Chem. Toxicol. 2007, 45, 448–455. [Google Scholar] [CrossRef]
  30. Nakmareong, S.; Kukongviriyapan, U.; Pakdeechote, P.; Donpunha, W.; Kukongviriyapan, V.; Kongyingyoes, B.; Sompamit, K.; Phisalaphong, C. Antioxidant and vascular protective effects of curcumin and tetrahydrocurcumin in rats with L-NAME-induced hypertension. Naunyn-Schmiedeberg’s Arch. Pharmacol. 2011, 383, 519–529. [Google Scholar] [CrossRef] [PubMed]
  31. Pollution Control Department (PCD). Surface Water Quality Standards, Notification of the National Environmental Board, No. 8; Ministry of Natural Resources and Environment: Bangkok, Thailand, 1994.
  32. Pollution Control Department (PCD). Soil Quality Standards for Habitat and Agriculture, Notification of the National Environmental Board, No. 25; Ministry of Natural Resources and Environment: Bangkok, Thailand, 2004.
  33. Ministry of Public Health. Standard of Contaminants in Food, Notification of the Ministry of Public Health No. 273/2; Ministry of Public Health: Bangkok, Thailand, 2003.
  34. Jezierska, B.; Witeska, M. Metal toxicity to fish. Rev. Fish Biol. Fisher. 2001, 11, 279. [Google Scholar]
  35. Buet, A.; Banas, D.; Vollaire, Y.; Coulet, E.; Roche, H. Biomarker responses in European eel (Anguilla anguilla) esposed to persistent organic pollutants, A field study in the Vaccares lagoon (Camargue, France). Chemosphere 2006, 65, 1846–1858. [Google Scholar] [CrossRef] [PubMed]
  36. Da Rocha, A.M.; Salomao de Freitas, D.P.; Burns, M.; Vieira, J.P.; de la Torre, F.R.; Monserrat, J.M. Seasonal and organ variation in antioxidant capacity, detoxifying competence and oxidative damage in freshwater and estuarine fishes from southern Brazil. Comp. Biochem. Physiol. 2009, 150, 512–520. [Google Scholar] [CrossRef]
  37. Ip, Y.K.; Chew, S.F.; Randall, D.J. Ammonia Toxicity, Tolerance and Excretion. In Fish Physiology, Nitrogen Excretion; Hoar, W.S., Randall, D.J., Farrell, A.P., Eds.; Academic Press: San Diego, CA, USA, 2001; Volume 20. [Google Scholar]
  38. Promsid, P. Chromosomal Aberration Assessment of Fish in Reservoir Affected by Leachate in Municipal Landfill. Master’s Thesis, Department of Environmental Science, Graduate School, Khon Kaen University, Khon Kaen, Thailand, 2014. [Google Scholar]
  39. Chen, B.C.; Liao, C.M. Farmed tilapia Oreochromis mossambicus involved in transport and biouptake of arsenic in aquacultural ecosystems. Aquaculture 2004, 242, 365–380. [Google Scholar] [CrossRef]
  40. Cumberlidge, N.; Ng, P.K.L.; Yeo, D.C.J.; Magalhaes, C.; Campos, M.R.; Alvarez, F.; Naruse, T.; Daniels, S.R.; Esser, L.J.; Attipoe, F.Y.K.; et al. Freshwater crabs and the biodiversity crisis importance, threats, status, and conservation challenges. Biol. Conserv. 2009, 142, 665–1673. [Google Scholar] [CrossRef]
  41. Abdulali, T.; Shuhaimi-Othman, M.; Ahmad, A.K. Assessment of heavy metals in tilapia fish (Oreochromis niloticus) from the Langat River and engineering lake in Bangi, Malaysia, and evaluation of the health risk from tilapia consumption. Ecotoxicol. Environ. Safe. 2013, 93, 45–51. [Google Scholar]
  42. Abdel-mohsien, H.; Mahmoud, M. Accumulation of some heavy metals in Oreochromis niloticus from the Nile in Egypt: Potential hazards to fish and consumers. J. Environ. Prot. 2015, 6, 1003–1013. [Google Scholar] [CrossRef] [Green Version]
  43. Paul, N.; Chakraborty, S.; Sengupta, M. Lead toxicity on non-specific immune mechanisms of freshwater fish Channa punctatus. Aqua. Toxicol. 2014, 152, 105–112. [Google Scholar] [CrossRef] [PubMed]
  44. Beheary, M.S.; Abu-Almaaty, A.H.; El-matary, F.A. Genetic polymorphism and changes in the concentration of heavy metals in Catfish Clarias gariepinus from different sites as a result of environmental contamination. Adv. Environ. Biol. 2015, 9, 20–32. [Google Scholar]
  45. Pereira, L.S.; Ribas, J.L.C.; Vicari, T. Effects of ecologically relevant concentrations of cadmium in a fresh water fish. Ecotoxicol. Environ. Safe. 2016, 130, 29–36. [Google Scholar] [CrossRef] [PubMed]
  46. Abu-Almaaty, A.H.; Abdel-Basset, M.E.; Mohammad, A. Molecular genetic variations and phylogenetic relationship using random amplified polymorphic DNA of three species of Catfishes (Family: Schilbidae) in Upper Egypt. J. Pharmacy Biol. Sci. 2018, 9, 65–81. [Google Scholar]
  47. Opasola, O.A.; Adeolu, A.T.; Iyanda, A.Y.; Adewoye, S.O.; Olawale, S.A. Bioaccumulation of heavy metals by Clarias gariepinus (African Catfish) in Asa River, Ilorin, Kwara State. J. Health. Pollut. 2019, 9, 1–10. [Google Scholar] [CrossRef] [Green Version]
  48. Agbosu, I.E.; Ekweozor, K.E.; Opuene, K. Survey of heavy metals in the catfish Clarias synodontis. Int. J. Environ. Sci. Tech. 2007, 4, 93–97. [Google Scholar] [CrossRef] [Green Version]
  49. Yujun, Y.; Zhifeng, Y.; Shanhong, Z. Ecological risk assessment of heavy metals in sediment and human health risk assessment of heavy metals in fishes in the middle and lower reaches of the Yangtze River basin. Environ. Pollut. 2011, 159, 2575–2585. [Google Scholar]
  50. Orosun, M.M.; Tchokossa, P.; Orosun, R.O.; Akinyose, F.C.; Ige, S.O.; Oduh, V.O. Determination of selected heavy metals and human health risk assessment in fishes from Kiri dam and river Gongola, northeastern Nigeria. J. Phys. Chem. Biophys. 2016, 6, 5–11. [Google Scholar]
  51. William, S.H. Expert Opinion on Eating Tilapia and Catfish, Life Sciences and Medicine’s News Medical; Dundurn Press: Toronto, ON, Canada, 2008. [Google Scholar]
  52. Abu-Daabes, M.; Qdais, H.A.; Alsyouri, H. Assessment of heavy metals and organics in municipal solid waste leachates from landfills with different ages in Jordan. J. Environ. Prot. 2013, 4, 344–352. [Google Scholar] [CrossRef] [Green Version]
  53. Wood, R.D.; Mitchell, M.; Srouros, J.; Lindahi, T. Human DNA repair genes. Science 2001, 291, 1284–1289. [Google Scholar] [CrossRef] [Green Version]
  54. Monserrat, J.M.; Martinez, P.E.; Geracitano, L.; Amado, L.L.; Martins, C.; Pinho, G.L.L.; Chaves, I.S.; Cravo, M.F.; Ventura-Lima, J.; Biachini, A. Pollution biomarkers in estuarine animals: Critical review and new perspectives. Comp. Biochem. Physiol. Part C Toxicol. Pharmacol. 2007, 146, 221–234. [Google Scholar] [CrossRef] [PubMed]
  55. Wise, S.S.; Holmes, A.L.; Wish, J.P. Hexavalent chromium-induced DNA damage and repair mechanisms. Rev. Environ. Health. 2008, 23, 39–57. [Google Scholar] [CrossRef] [PubMed]
  56. Arunachalam, K.D.; Annamalai, S.K.; KuruvaIn, J.K. In-vivo evaluation of hexavalent chromium induced DNA damage by alkaline comet assay and oxidative stress in Catla catla. Am. J. Environ. Sci. 2013, 9, 470–482. [Google Scholar] [CrossRef]
  57. Waalkes, M.P. Cadmium carcinogenesis. Mutat. Res. 2003, 533, 107–120. [Google Scholar] [CrossRef]
  58. Silbergeld, E.K. Facilitative mechanisms of lead as a carcinogen. Mutat. Res. 2003, 533, 121–133. [Google Scholar] [CrossRef]
  59. Bolognesi, C.; Hayashi, M. Micronucleus assay in aquatic animals. Mutagenesis 2011, 26, 205–213. [Google Scholar] [CrossRef] [Green Version]
  60. Mustafa, S.; Widodo, M.A.; Kristianto, Y. Albumin and zinc content of snakehead fish (Channa striata) extract and its role in health. Int. J. Sci. Technol. 2012, 1, 1–18. [Google Scholar]
  61. Ngamniyom, A. Thai ricefish: A potential bio-indicator species for monitoring freshwater environment pollutions. Srinakharin. Sci. J. 2012, 28, 207–218. [Google Scholar]
  62. Ercal, N.; Gurer-Orhan, H.; Aykin-Burns, N. Toxic metals and oxidative stress part I: Mechanisms involved in metal-induced oxidative damage. Curr. Topics. Med. Chem. 2001, 1, 529–539. [Google Scholar] [CrossRef]
  63. Vlahogianni, T.; Dassenakis, M.; Scoullos, M.J.; Valavanidis, A. Integrated use of biomarkers (superoxide dismutase, catalase and lipid peroxidation) in mussels Mytilus galloprovincialis for assessing heavy metals pollution in coastal areas from the Saronikos Gulf of Greece. Mar. Pollut. Bull. 2007, 54, 1361–1371. [Google Scholar] [CrossRef]
  64. Calapoglu, M.; Sevinc, Z.; Togany, V.A.; Kalyoncu, H. Evaluation of oxidative stress and genotoxicity for environmental monitoring using farmed rainbow trout. Fresenius Environ. Bulletin. 2017, 26, 7105–7113. [Google Scholar]
  65. Farombi, E.O.; Adelowo, O.A.; Ajimoko, Y.R. Biomarkers of oxidative stress and heavy metal levels as indicators of environmental pollution in African Catfish (Clarias gariepinus) from Nigeria Ogun River. Int. J. Environ. Res. Pub. Health. 2007, 4, 158–165. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Sanchez, W.; Ait-Aissa, S.; Palluel, O.; Ditche, J.M.; Porcher, J.M. Preliminary investigation of multi-biomarker responses in three-spined stickleback (Gasterosteus aculeatus L.) sampled in contaminated streams. Ecotoxicology 2007, 16, 279–287. [Google Scholar] [CrossRef] [PubMed]
  67. Bayir, A.; Bayir, M.; Sirkecioğlu, A.N.; Aras, N.M.; Haliloğlu, H.İ.; Aksakal, E.; Güneş, M.; Aras, N.M. Influence of season on antioxidant defense systems of Silurus glanis Linnaeus (Siluridae) and Barbus capito Güldenstädt (Cyprinidae). Fresenius Environ. Bulletin. 2011, 20, 3–11. [Google Scholar]
  68. Hebert, N.; Gagne, F.; Cejka, P.; Cyr, D.; Marcogliese, D.J.; Blaise, C.; Pellerin, J.; Fournier, M. The effects of a primary-treated municipal effluent on the immune system of rainbow trout (Oncorhynchus mykiss): Exposure duration and contribution of suspended particles. Comp. Biochem. Physiol. Part C Comp. Pharmacol. 2008, 148, 258–264. [Google Scholar] [CrossRef]
  69. Requena, J.R.; Levine, R.L.; Stadtman, E.R. Recent advances in the analysis of oxidized proteins. Amino Acids 2003, 25, 221–226. [Google Scholar] [CrossRef]
  70. Grune, T. Oxidative stress, aging and the proteasomal system. Biogerontology 2000, 1, 31–40. [Google Scholar] [CrossRef]
  71. Parvez, S.; Raisuddin, S. Protein carbonyls: Novel biomarkers of exposure to oxidative stress-inducing pesticides in freshwater fish Channa punctata (Bloch). Environ. Toxicol. Pharmacol. 2005, 20, 112–117. [Google Scholar] [CrossRef]
  72. Dalle-Donne, I.; Aldini, G.; Carini, M.; Colombo, R.; Rossi, R.; Milzani, A. Protein carbonylation, cellular dysfunction, and disease progression. J. Cell. Molec. Med. 2006, 10, 389–406. [Google Scholar] [CrossRef]
  73. Craig, P.M.; Wood, C.M.; McClell, G.B. Oxidative stress response and gene expression with acute copper exposure in zebrafish (Danio rerio). Am. J. Physiol. Regul. Integrat. Comp. Physiol. 2007, 293, 1882–1892. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Location of the study site in a metal-contaminated reservoir near the Khon Kaen municipal landfill.
Figure 1. Location of the study site in a metal-contaminated reservoir near the Khon Kaen municipal landfill.
Ijerph 17 01980 g001
Figure 2. Examples of ISSR fingerprints from the reference catfish (1.1, 1.2, 1.3, 1.4 and 1.5) and the landfill catfish (2.1, 2.2, 2.3, 2.4 and 2.5) from the specific primers TGACCCCTCC. (A) GTAGACGAGC, (B) TGTCTGGGTG and (C) showing monomorphic bands.
Figure 2. Examples of ISSR fingerprints from the reference catfish (1.1, 1.2, 1.3, 1.4 and 1.5) and the landfill catfish (2.1, 2.2, 2.3, 2.4 and 2.5) from the specific primers TGACCCCTCC. (A) GTAGACGAGC, (B) TGTCTGGGTG and (C) showing monomorphic bands.
Ijerph 17 01980 g002
Figure 3. The dendrogram constructed from 25 primers by the NTSYSpc 2.10 program showing genetic relationships of the hybrid catfish samples between the reference catfish (1.1–1.5) and landfill catfish (2.1–2.5).
Figure 3. The dendrogram constructed from 25 primers by the NTSYSpc 2.10 program showing genetic relationships of the hybrid catfish samples between the reference catfish (1.1–1.5) and landfill catfish (2.1–2.5).
Ijerph 17 01980 g003
Figure 4. The levels of plasma malondialdehyde (MDA) in both groups of the hybrid catfish. Values are expressed as the mean ± standard deviation of 10 fish.
Figure 4. The levels of plasma malondialdehyde (MDA) in both groups of the hybrid catfish. Values are expressed as the mean ± standard deviation of 10 fish.
Ijerph 17 01980 g004
Figure 5. The levels of plasma protein carbonyl (PC) in both groups of the hybrid catfish. Values are expressed as the mean ± standard deviation of 10 fish.
Figure 5. The levels of plasma protein carbonyl (PC) in both groups of the hybrid catfish. Values are expressed as the mean ± standard deviation of 10 fish.
Ijerph 17 01980 g005
Table 1. Analytical methods used for measurements of water quality parameters.
Table 1. Analytical methods used for measurements of water quality parameters.
Water Quality ParametersAnalytical Methods
Dissolved oxygen DO meter, Model 966, Mettler Toledo
pHpH meter, Model EcoScan pH 5, Eutech
TemperatureThermometer
Total dissolved solids Total dissolved solids, Model CH-8603, Mettler Toledo
Electro-conductivity Total ammonia nitrogen EC meter, Model CH-8603, Mettler Toledo Titration method
Table 2. The 25 successful primer sequences for inter-simple sequence repeats (ISSRs)-PCR markers.
Table 2. The 25 successful primer sequences for inter-simple sequence repeats (ISSRs)-PCR markers.
No.Nucleotide SequencesTotal BandsMonomorphic BandPolymorphic Band
1CTCTCTCTCTCTCTCTAC5519
2CTCTCTCTCTCTCTCTGC11279
3CACACACACACAAC5019
4CACACACACACAGT10558
5CACACACACACAAG10979
6CACACACACACAGG110510
7GAGAGAGAGAGAGG7965
8GAGAGAGAGAGACC11578
9CACCACCACGC110611
10GAGGAGGAGGC133115
11CTCCTCCTCGC7363
12GTGGTGGTGGC10384
13ACTGACTGACTGACTG89312
14GACAGACAGACAGACA9782
15CCCCGTGTGTGTGTGT136107
16GAGAGAGAGA10586
17AGAGAGAGAGAGAGCTGCT130108
18CTCTCTCTCTCTCTCTTG11378
19AGAGAGAGAGAGAGAA8565
20AGAGAGAGAGAGAGAGC13488
21AGAGAGAGAGAGAGAGT152910
22AGAGAGAGAGAGAGAAA9167
23AGAGAGAGAGAGAGAAC10259
24AGAGAGAGAGAGAGAAG11078
25AGAGAGAGAGAGAGAAT11578
Total2613164188
Table 3. Water quality parameters of the reference and the landfill reservoirs.
Table 3. Water quality parameters of the reference and the landfill reservoirs.
SamplesParameters
DO (mg/L)pHTemperature (°C)TDS (mg/L)EC (µSm−1/s)NH3-N (mg/L)
Reference reservoir5.31 ± 0.767.02 ± 0.0225.96 ± 0.550.44 ± 0.03304.33 ± 7.370.72 ± 0.04
Landfill reservoir4.79 ± 0.446.72 ± 0.0726.18 ± 0.530.57 ± 0.03452.67 ± 17.510.94 ± 0.04
Remarks: DO = dissolved oxygen; TDS = total dissolved solids; EC = electro-conductivity; NH3-N = total ammonia nitrogen; (mean and standard deviation; n = 3).
Table 4. Heavy metal concentrations in the water, sediment and fish muscles from the reference reservoir (mean ± standard deviation; n = 9).
Table 4. Heavy metal concentrations in the water, sediment and fish muscles from the reference reservoir (mean ± standard deviation; n = 9).
SamplesIndividual NumberCrCdPb
Water (mg/L)9NDNDND
Standard (mg/L)0.005 a0.05 a0.05 a
Sediment (mg/kg)94.95 ± 0.27 0.07 ± 0.01ND
Standard (mg/kg)100 b1 b100 b
Fish Muscles (mg/kg)90.72 ± 0.12 NDND
Standard (mg/kg)2 c0.5 c0.5 c
a Water quality standards for surface water sources, Pollution Control Department, Ministry of Natural Resources and Environment, Thailand [31] b Soil quality standard, Pollution Control Department, Ministry of Natural Resources and Environment, Thailand [32] c Thailand’s food quality standards, Ministry of Public Health, Thailand [33].
Table 5. Heavy metal concentrations in the water, sediment and fish muscles from the landfill reservoirs (mean ± standard deviation; n = 9).
Table 5. Heavy metal concentrations in the water, sediment and fish muscles from the landfill reservoirs (mean ± standard deviation; n = 9).
SamplesIndividual NumberCrCdPb
Water (mg/L)916.73 ± 1.320.66 ± 0.3217.85 ± 4.28
Standard (mg/L)0.005 a0.05 a0.05 a
Sediment (mg/kg)933.82 ± 7.79 2.60 ± 1.0716.61 ± 9.47
Standard (mg/kg)100 b1 b100 b
Fish Muscles (mg/kg)91.41 ± 0.29 0.03 ± 0.010.12 ± 0.02
Standard (mg/kg)2 c0.5 c0.5 c
a Water quality standards for surface water sources, Pollution Control Department, Ministry of Natural Resources and Environment, Thailand [31] b Soil quality standard, Pollution Control Department, Ministry of Natural Resources and Environment, Thailand [32] c Thailand’s food quality standards, Ministry of Public Health, Thailand [33].
Table 6. The genetic similarity values among the hybrid catfish from the reference (1.1–1.5) and the landfill areas (2.1–2.5), according to the Dice coefficient.
Table 6. The genetic similarity values among the hybrid catfish from the reference (1.1–1.5) and the landfill areas (2.1–2.5), according to the Dice coefficient.
1.11.21.31.41.52.12.22.32.42.5
1.11.00
1.20.961.00
1.30.930.921.00
1.40.900.920.921.00
1.50.920.910.930.911.00
2.10.720.720.700.710.711.00
2.20.690.670.680.680.700.861.00
2.30.710.690.690.680.680.860.861.00
2.40.680.670.660.650.680.800.800.841.00
2.50.690.680.670.660.660.800.790.860.861.00

Share and Cite

MDPI and ACS Style

Neeratanaphan, L.; Kamollerd, C.; Suwannathada, P.; Suwannathada, P.; Tengjaroenkul, B. Genotoxicity and Oxidative Stress in Experimental Hybrid Catfish Exposed to Heavy Metals in a Municipal Landfill Reservoir. Int. J. Environ. Res. Public Health 2020, 17, 1980. https://doi.org/10.3390/ijerph17061980

AMA Style

Neeratanaphan L, Kamollerd C, Suwannathada P, Suwannathada P, Tengjaroenkul B. Genotoxicity and Oxidative Stress in Experimental Hybrid Catfish Exposed to Heavy Metals in a Municipal Landfill Reservoir. International Journal of Environmental Research and Public Health. 2020; 17(6):1980. https://doi.org/10.3390/ijerph17061980

Chicago/Turabian Style

Neeratanaphan, Lamyai, Chuchart Kamollerd, Pimchanok Suwannathada, Pongthorn Suwannathada, and Bundit Tengjaroenkul. 2020. "Genotoxicity and Oxidative Stress in Experimental Hybrid Catfish Exposed to Heavy Metals in a Municipal Landfill Reservoir" International Journal of Environmental Research and Public Health 17, no. 6: 1980. https://doi.org/10.3390/ijerph17061980

APA Style

Neeratanaphan, L., Kamollerd, C., Suwannathada, P., Suwannathada, P., & Tengjaroenkul, B. (2020). Genotoxicity and Oxidative Stress in Experimental Hybrid Catfish Exposed to Heavy Metals in a Municipal Landfill Reservoir. International Journal of Environmental Research and Public Health, 17(6), 1980. https://doi.org/10.3390/ijerph17061980

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop