Fluctuating Asymmetry of Chironomus spp. (Diptera: Chironomidae) Larvae in Association with Water Quality and Metal Pollution in Permatang Rawa River in the Juru River Basin, Penang, Malaysia
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Abstract
The levels of fluctuating asymmetry [random differences between symmetric organismal traits, fluctuating asymmetry (FA)] in the fourth instar of Chironomus spp. larvae inhabiting an agrochemical polluted river [Permatang Rawa River (PRR)] in the Juru River Basin, northeastern peninsular Malaysia, were measured. The PRR receives waters primarily from adjacent rice fields which are exposed to fertilizer and pesticide residues. Samples of larvae, water, and sediments were collected monthly from November 2007 to June 2008. In situ measurements of water pH and dissolved oxygen were made at three sampling locations along the river. Monthly water and benthic sediment collections were also conducted for the following laboratory water analyses: biological oxygen demand (BOD), chemical oxygen demand (COD), total suspended solids (TSS), and ammonium-N content. Non-residual metals in the sediment samples were also analyzed. The water quality index (WQI) of the PRR was also calculated. This study attempted to relate FA levels based on selected traits of Chironomus spp. larval head capsule (mentum width and first and second antennal segment length) to water quality and sediment heavy metal contamination in the PRR. All monthly measurements of FA levels including transcriptors (FA10a, FA4a, ME3, and ME1) and indices [FA, absolute asymmetry (AbsFA), and composite fluctuating asymmetry (CFA)] were calculated. The ordination model of redundancy analysis showed that the dissolved oxygen and water quality in the river expressed as WQI were negatively correlated with all FA indices (FA, AbsFA, and CFA) of the larval mentum width and length of antennal segments I and II. The water pH, BOD, and COD and sediment Cu positively influenced the FA incidence in the larval mentum. The FA indices of the antennal segment I were positively correlated with the increase in the levels of water pH, ammonium-N, BOD, and COD. The FA indices, especially CFA, were sensitive to the water pH and ammonium-N and sediment contaminated by Mn, Cu, and Zn. The FA levels calculated as FA indices of the larval antennal segment II length were positively correlated with water TSS and sediment Mn, Cu, Zn, and Ni. This study revealed that the river water quality and heavy metal contamination affect developmental stability in Chironomus spp. larvae. The FA indices of different structures in the Chironomus spp. larval head capsule could be used as bioindicators for water and sediment pollution.
Keywords
Fluctuating asymmetry Water and sediment quality Chironomids Environmental stressNotes
Acknowledgments
We are indebted to the Dean, School of Biological Sciences, Universiti Sains Malaysia for facilitating this study both in the laboratory and in the field. We thank Mohd Shukri Saad, Kalimuthu Supramaniam, Shahbudin Shahidan, and Siti Katijah Ghazali for assistance in field sampling and laboratory analysis. This study was partially funded by the Research University Grant 1001/BIOLOGI/630166, awarded to the second and third authors.
References
- Ahtiainen, J. J., Alataio, R. V., Mappes, J., & Vertainen, L. (2003). Fluctuating asymmetry and sexual performance in the drumming wolf spider Hygrolycosa rubrofasciata. Annales Zoologici Fennici, 40, 281–292.Google Scholar
- Al-Shami, S. A., Salmah, M. R. C., Abu Hassan, A., & Azizah, M. N. S. (2010a). Temporal distribution of larval Chironomidae (Diptera) in experimental rice fields in Penang, Malaysia. Journal of Asia-Pacific Entomology, 13, 17–22.CrossRefGoogle Scholar
- Al-Shami, S., Rawi, C. S. M., Nor, S. A. M., Ahmad, A. H., & Ali, A. (2010b). Morphological deformities in Chironomus spp. (Diptera: Chironomidae) larvae as a tool for impact assessment of anthropogenic and environmental stresses on three rivers in the Juru River System, Penang, Malaysia. Environmental Entomology, 39, 210–222.CrossRefGoogle Scholar
- Ambo-Rappe, R., Lajus, D. L., & Schreider, M. J. (2008). Increased heavy metal and nutrient contamination does not increase fluctuating asymmetry in the seagrass Halophila ovalis. Ecological Indicators, 8(1), 100–103.CrossRefGoogle Scholar
- Azrina, M. Z., Yap, C. K., Ismail, A. R., & Tan, S. G. (2006). Anthropogenic impacts on the distribution and biodiversity of benthic macroinvertebrates and water quality of the Langat River, Peninsular Malaysia. Ecotoxicology and Environmental Safety, 64, 337–347.CrossRefGoogle Scholar
- Bechshoft, T. O., Riget, F. F., Wiig, O., & Sonne, C. (2008). Fluctuating asymmetry in metric traits: A practical example of calculating asymmetry, measurement error, and repeatability. Annales Zoologici Fennici, 45, 32–38.Google Scholar
- Bhattacharyay, G., Sadhu, A. K., Mazumdar, A., & Chaudhuri, P. K. (2005). Antennal deformities of chironomid larvae and their use in biomonitoring of heavy metal pollution in the River Damodar of West Bangal, India. Environmental Monitoring and Assessment, 108, 67–84.CrossRefGoogle Scholar
- Bonada, N., & Williams, D. D. (2002). Exploration of the utility of fluctuating asymmetry as an indicator of river condition using larvae of the caddisfly Hydropsyche morosa (Trichoptera: Hydropsychidae). Hydrobiologia, 481, 147–156.CrossRefGoogle Scholar
- Canobbio, S., Mezzanotte, V., Sanfilippo, U., & Benvenuto, F. (2009). Effect of multiple stressors on water quality and macroinvertebrate assemblages in an effluent-dominated stream. Water, Air, and Soil Pollution, 198, 359–371.CrossRefGoogle Scholar
- Chang, X., Zhai, B., Wang, M., & Wang, B. (2007a). Relationship between exposure to an insecticide and fluctuating asymmetry in a damselfly (Odonata, Coenagriidae). Hydrobiologia, 586, 213–220.CrossRefGoogle Scholar
- Chang, X., Zhai, B., Liu, X., & Wang, M. (2007b). Effects of temperature stress and pesticide exposure on fluctuating asymmetry and mortality of Copera annulata (Selys) (Odonata: Zygoptera) larvae. Ecotoxicology and Environmental Safety, 67, 120–127.CrossRefGoogle Scholar
- Chester, R., & Voutsinou, F. G. (1981). The initial assessment of trace metal pollution in coastal sediment. Marine Pollution Bulletin, 12, 84–91.CrossRefGoogle Scholar
- Clarke, G. M. (1993). Fluctuating asymmetry of invertebrate populations as a biological indicator of environmental quality. Environmental Pollution, 82, 207–211.CrossRefGoogle Scholar
- Cranston, P. S. (2004). Chironomidae. In C. M. Yule & H. S. Yong (Eds.), The freshwater invertebrates of Malaysia and Singapore (pp. 711–735). Malaysia: Academy of Sciences.Google Scholar
- Crespi, B. J., & Vanderkist, B. A. (1997). Fluctuating asymmetry in vestigial and functional traits of a haploid insect. Heredity, 79, 624–630.CrossRefGoogle Scholar
- Dobrin, M., & Corkum, L. D. (1999). Can fluctuating asymmetry in adult burrowing mayflies (Hexagenia rigida, Ephemeroptera) be used as a measure of contaminant stress? Journal of Great Lakes Research, 25(2), 339–346.CrossRefGoogle Scholar
- DOE (Department of Environment, Malaysia). (1994). Classification of Malaysian rivers. Volume 8B, Juru River. Malaysia: Department of Environment, Ministry of Science, Technology and the Environment.Google Scholar
- Dudgeon, D. (2008). Tropical streams ecology. USA: Elsevier.Google Scholar
- Epler, J. H. (2001). Identification manual for the larval Chironomidae (Diptera) of North and South Carolina. A guide to the taxonomy of the midges of the southeastern United States, including Florida. Special Publication SJ2001-SP13. North Carolina Department of Environmental and Natural Resources, Raleigh, NC.Google Scholar
- Fulazzaky, M. A., Teng, W. S., & Mohd Masirin, M. I. (2010). Assessment of water quality status for the Selangor River in Malaysia. Water, Air, and Soil Pollution, 205, 63–77.CrossRefGoogle Scholar
- Graham, J. H., Emlen, J. M., & Freeman, D. C. (1993). Developmental stability and its applications in ecotoxicology. Ecotoxicology, 2, 175–184.CrossRefGoogle Scholar
- Grour, G. (2006). Developmental instability in cabbage aphid (Brevicoryne brassicae) populations exposed to heavy metal accumulated host plants. Ecological Indicators, 6, 743–748.CrossRefGoogle Scholar
- Groenendijk, D., Zeinstra, L. W. M., & Postma, J. F. (1998). Fluctuating asymmetry and mentum gaps in populations of the midge Chironomus riparius (Diptera: Chironomidae) from a metal contaminated river. Environmental Toxicology and Chemistry, 17, 1999–2005.Google Scholar
- Halvorsen, G. A., Heneberry, J. H., & Snucins, E. (2001). Sublittoral chironomids as indicators of acidity (Diptera: Chironomidae). Water, Air, and Soil Pollution, 130, 1385–1390.CrossRefGoogle Scholar
- Hardersen, S., & Wratten, S. D. (1998). The effects of carbaryl exposure of the penultimate larval instars of Xathocnemis zealandica on emergence and fluctuating asymmetry. Ecotoxicology, 7, 297–304.CrossRefGoogle Scholar
- Hardersen, S., Wratten, S. D., & Frampton, C. M. (1999). Does carbaryl increase fluctuating asymmetry in damselflies under field conditions? A mesocosm experiment with Xanthocnemis zealandica (Odonata: Zygoptera). Journal of Applied Ecology, 36, 534–543.CrossRefGoogle Scholar
- Hasegawa, H., & Sasa, M. (1987). Taxonomical notes on the chironomid midges of the tribe Chironomini collected from Ryukyu Islands, Japan, with description of their immature stages. Japan Journal of Sanitary Zoology, 38(4), 275–295.Google Scholar
- Hicham, K., & Lotfi, A. (2007). The dynamics of macroinvertebrate assemblages in response to environmental change in four basins of the Etueffont landfill leachate (Belfort, France). Water, Air, and Soil Pollution, 185, 63–77.CrossRefGoogle Scholar
- Hogg, I. D., Eadie, J. M., Williams, D., & Turner, D. (2001). Evaluating fluctuating asymmetry in a stream-dwelling insect as an indicator of low-level thermal stress: A large-scale field experiment. Journal of Applied Ecology, 38, 1326–1339.CrossRefGoogle Scholar
- Janssens de Bisthoven, L., Postma, J., Vermeulen, A., Goemans, G., & Ollevier, F. (2001). Morphological deformities in Chironomus riparius meigen larvae after exposure to cadmium over several generations. Water, Air, and Soil Pollution, 129, 167–179.CrossRefGoogle Scholar
- Janssens de Bisthoven, L., & Gerhardt, A. (2003). Chironomidae (Diptera, Nematocera) fauna in three small streams of Skania, Sweden. Environmental Monitoring and Assessment, 83, 89–102.CrossRefGoogle Scholar
- Kozlov, M. V., Niemelä, P., & Mälkönen, E. (2002). Effects of compensatory fertilization on pollution-induced stress in Scots pine. Water, Air, and Soil Pollution, 134, 307–318.CrossRefGoogle Scholar
- Leung, B., & Forbes, M. R. (1997). Modeling fluctuating asymmetry in relation to stress and fitness. Oikos, 78(2), 397–405.CrossRefGoogle Scholar
- Leung, B., Forbes, M. R., & Houle, D. (2000). Fluctuating asymmetry as a bioindicator of stress: Comparing efficacy of analyses involving multiple traits. The American Naturalist, 155, 101–115.CrossRefGoogle Scholar
- Lim, P. E., & Kiu, M. Y. (1995). Determination and speciation of heavy metals in sediment of the Juru River, Penang, Malaysia. Environmental Monitoring and Assessment, 35, 85–95.CrossRefGoogle Scholar
- McDonald, E. E., & Taylor, B. R. (2006). Incidence of mentum deformities in midge larvae (Diptera: Chironomidae) from North Nova Scotia, Canada. Hydrobiologia, 563, 277–287.CrossRefGoogle Scholar
- Madden, C. P., Suter, P. J., Nicholas, B. C., & Austin, A. D. (1992). Deformities in chironomid larvae as indicator of pollution (pesticide) stress. Netherlands Journal of Aquatic Ecology, 26, 551–557.CrossRefGoogle Scholar
- Mebane, C. A., Hennessy, D. P., & Dillon, F. S. (2008). Developing acute-to-chronic toxicity ratios for lead, cadmium, and zinc using rainbow trout, a mayfly, and a midge. Water, Air, and Soil Pollution, 188, 41–66.CrossRefGoogle Scholar
- Michailova, P., Szarek-Gwiazda, E., & Kownacki, A. (2009). Effect of contaminants on the genome of some species of genus Chironomus (Chironomidae, Diptera) live in sediments of Dunajec River and Czorsztyn Reservoir. Water, Air, and Soil Pollution, 202, 245–258.CrossRefGoogle Scholar
- Morse, J. C., Yang, L., & Tian, L. (1994). Aquatic insect of China useful for monitoring water quality. China: Hohai University Press.Google Scholar
- Mpho, M., Holloway, G. J., & Gallaghan, A. (2001). A comparison of the effects of organophosphate insecticide exposure and temperature stress on fluctuating asymmetry and life history traits in Culex quinquefasciatus. Chemosphere, 45, 713–720.CrossRefGoogle Scholar
- Oladimeji, A. A., & Offem, B. O. (1989). Toxicity of lead to Clarias lazera, Oreochromis niloticus, Chironomus tentans and Benacus sp. Water, Air, and Soil Pollution, 44(3–4), 191–201.CrossRefGoogle Scholar
- Palmer, A. R. (1994). Fluctuating asymmetry analyses: A primer. In T. A. Markow (Ed.), Developmental instability: Its origins and evolutionary implications (pp. 335–364). Dordrecht: Kluwer.Google Scholar
- Palmer, A. P., & Strobeck, C. (1986). Fluctuating asymmetry: Measurement, analysis, patterns. Annual Review of Ecology and Systematics, 17, 391–421.CrossRefGoogle Scholar
- Palmer, A. R., & Strobeck, C. (2003). Fluctuating asymmetry analyses revisited. In M. Polak (Ed.), Developmental instability. Causes and consequences: (pp. 279–319). Oxford: Oxford University Press.Google Scholar
- Parsons, P. A. (1990). Fluctuating asymmetry: An epigenetic measure of stress. Biological Reviews, 65(2), 131–145.CrossRefGoogle Scholar
- Petersen, L., & Petersen, R., Jr. (1983). Anomalies in hydropsychid capture nets from polluted streams. Freshwater Biology, 13, 185–191.CrossRefGoogle Scholar
- Pither, J., & Taylor, P. D. (2000). Directional and fluctuating asymmetry in the black-winged damselfly Calopteryx maculata (Beauvois) (Odonata: Calopterygidae). Canadian Journal of Zoology, 78, 1740–1748.CrossRefGoogle Scholar
- Rabitsch, W. B. (1997). Levels of asymmetry in Formica pratensis Retz. (Hymenoptera, Insecta) from a chronic metal-contaminated site. Environmental Toxicology and Chemistry, 16(7), 1433–1440.Google Scholar
- Rettig, J. E., Fuller, R. C., Corbett, A. L., & Getty, T. (1997). Fluctuating asymmetry indicates levels of competition in an even-aged poplar clone. Oikos, 80, 123–127.CrossRefGoogle Scholar
- Servia, M. J., Cobo, F., & Gonzalez, M. A. (2002). Ontogeny of individual asymmetries in several traits of larval Chironomus riparius Meigen, 1804 (Diptera: Chironomidae). Canadian Journal of Fisheries and Aquatic Sciences, 80, 1470–1479.Google Scholar
- Servia, M. J., Cobo, F., & Gonzalez, M. A. (2004a). Effect of short-term climatic variations on fluctuating asymmetry levels in Chironomus riparius larvae at a polluted site. Hydrobiologia, 523, 137–147.CrossRefGoogle Scholar
- Servia, M. J., Cobo, F., & Gonzalez, M. A. (2004b). Multiple-trait analysis of fluctuating asymmetry levels in anthropogenically and naturally stressed sites: A case study using Chironomus riparius Meigen 1804 larvae. Environmental Monitoring and Assessment, 90, 101–112.CrossRefGoogle Scholar
- ter Braak, C. J. F. (1989). CANOCO—An extension of DECORA-MA to analyze species–environment relationships. Hydrobiologia, 181, 169–170.Google Scholar
- Tomar, M. (1999). Quality assessment of water and waste water. New York: Lewis.Google Scholar
- Warwick, W. F. (1985). Morphological abnormalities in Chironomidae (Diptera) larvae as measures of toxic stress in freshwater ecosystem: indicating antennal deformities in Chironomus Meigen. Canadian Journal of Fisheries and Aquatic Sciences, 42, 1881–1914.CrossRefGoogle Scholar