Current Research journal of Biological Sciences 4(3): 301-305, 2012 ISSN: 2041-0778 © Maxwell Scientific Organization, 2012 Submitted: January 08, 2012 Accepted: February 09, 2012 Published: April 05, 2012 Ecological and Genetic Relationship of Chironomus circumdatus (Diptera, Chironomidae) From Mitochondrial Cytochrome Oxidase Subunit I in Chiang Mai Province, Northern Thailand 1 W. Roongruangwongse, 1C. Suwannapoom, 1N. Kamrin and 1,2S. Chomdej 1 Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand 2 Materials Science Research Center, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand Abstract: This study provides means for more accurate identification of Chironomus circumdatus species for environmental and ecological management by Population of C. circumdatus (86 individuals) and water samples were collected from three different sites of Chiang Mai Province, Thailand. Specimens of Einfeldia sp. were used as an initial out group. The genetic relationship of C. circumdatus specimens from these sources was determined by using DNA sequence analysis of partial mtDNA gene’s Cytochrome Oxidase Subunit I (COI). Analysis of genetic distance on the basis of sequence difference for COI mitochondrial gene showed very little genetic difference and the data from phylogenetic analysis revealed a very large genetic difference among all populations of this species for the COI gene sequences. In addition, NJ tree was related to with physicochemical parameters of the water samples. Key words: Chironomus circumdatus, genetic distance, genetic diversity Munstermann, 2002; de Brito et al., 2002). Inferences about distribution are made based on the geographical pattern of mitochondrial genetic variability, although this pattern can be influenced by historical and/or ecological events (Templeton et al., 1995). The relation of water quality and phylogenetic relationship in C. circumdatus in Chiang Mai province was observed as a main objective of this study. INTRODUCTION Chironomidae is one of the most important families of freshwater insects and are widely distributed in all types of aquatic environments where they can be found in various habitats and occupy a great variety of niches. Due to these characteristics, chironomids can be used as a source of information for river habitat classification and water quality assessment (Marcello and Bambacigno, 1987). Chironomids are potentially useful as indicators of water quality (Pinder, 1986) if identifications can be made genus or species (Morris and Brooker, 1980). Chironomus spp. (red blood worms) can be normally found inhabited in heavy organic pollution and rich in nutrients (NO3-N and PO4G3) areas (Roongruangwongse et al., 2005). Chironomus consists of four subgenera: Chironomus, Camptochironomus, Chaetolabis, and Lobochironomus, which includes about 250 species (Guryev et al., 2001). The majority of these species (>90%) belong to subgenus Chironomus. The taxonomy of Chironomus is difficult to distinguish except through an analysis of proteins. Large complexes of cryptic species can be best recognized by the banding pattern of the larval polytene chromosomes (Martin, 1979). Mitochondrial DNA (mtDNA) polymorphism is widely used in the study of molecular markers for phylogenetic studies in animals, partly because of its simple genomic structure (Avise, 2004; Excoffier et al., 1992; Brower, 1994; Birungi and MATERIALS AND METHODS Study sites: During October 2008 to May 2009 we obtained C. circumdatus larvae samples from three populations that located in some area of Chiang Mai Province, Thailand (in canal from Chiang Mai UniversityCMU, Maharaj Nakhon Chiang Mai Hospital-MN and Maeka-Maeping-MK) (Table 1). Water samples collection and physico-chemical parameters analysis: The pH, electrical conductivity, and Total Dissolved Solid (TDS) of the water were measured in the field using a multi-meter (Consort C933). The water velocity current was measured by a velocity meter and the water temperature was measured by thermometer (ºC). Water samples for chemical parameter analysis were collected at the three sites. The preservation and analysis of Dissolved Oxygen (DO), Biological Oxygen Demand Corresponding Author: S. Chomdej, Department of Biology, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand 301 Curr. Res. J. Biol. Sci., 4(3): 301-305, 2012 Mk2 40 Mk4 32 Mk4 86 Mk6 Maeka Maeping Mk7 CMU9 48 Chiang Mai university CMU5 45 MN7 40 MN5 46 MN6 Maharaj Nokhon Chiang Mai hospital Einfe Idia sp. 0.01 Fig. 1: Phylogenetic tree based on the sequences of cytochrome oxidase subunit I gene of C. circumdatus. The tree was constructed by the neighbor-joining method with 2,000 bootstrapped replications. Numbers above are bootstrap percentages Table 1: Sampling locations and geographic coordinates of populations of C. circumdatus analysed in this study Locality Code Latitude/longitude Accession No. Maeka-maeping MK6 18º47!/98º57! JQ287743 JQ287744 MK3 18º47!/98º57! JQ287745 MK7 18º47!/98º57! JQ287746 MK2 18º47!/98º57! JQ287747 Maharaj nakhon MN5 18º47!/98º58! JQ287748 chiang mai hospital MN6 18º47!/98º58! JQ287749 MN7 18º47!/98º58! JQ287750 Chiang mai university CMU9 18º44!/98º58! JQ287751 CMU5 18º44!/98º58! three sites using pond net by kicking sampling for 10 min at each site. The larvae were sorted, counted and preserved in 75% ethanol. Specimens were mounted on microscope slides and identified in the laboratory by using Wiederholm (1983), Armitage et al. (1995) and Cranston (1995). The results of chironomid larvae identification are shown in Fig. 1. DNA extraction: Total genomic DNA was extracted from the samples and preserved in 75% ethanol using modified proteinase K digestion following the phenol/chloroform extraction protocol (Sambrook et al., 1989). Table 2: Physico-chemical parameters of water samples at the three study sites Site ---------------------------------------------------Parameters CMU MN MK DO (mg/L) 2.80 3.50 6.0 5.0 5.5 8.5 BOD5 (mg/L) Conductivity (ms/cm) 348 208 485 TDS (mg/L) 185 108 258 pH 6.81 7.60 6.33 Water Temperature (°C) 25.0 29.0 26.5 Air Temperature (°C) 29.5 31.0 31.5 Velocity (m/s) 0.72 0.52 0.05 5.0 20.0 10.0 NO-3-N (mg/L) 9.10 4.90 12.8 NH3-N (mg/L) 0.70 4.60 2.20 PO4-3 (mg/L) Water quality category 3-5 3-5 3-5 PCR primer amplification and sequencing: The polymerase chain reaction (PCR) was used to amplify a region of the mitochondrial (COI) gene using the primers C O I 9 1 1 ( 5 '- T T A A C T T C A G G G TGA C C A A AAAATCA-3'), COI 912 (5'-TTACTA CCAATCATA AAGATATTGG-3') (Salman et al., 2009). Every 25 :L reaction volume consisted of 50 ng extracted DNA, 1X PCR buffer, 0.2 :M of each forward and primers, 0.2 :M dNTP, 5 mM MgCl2 and 1 unit Taq DNA polymerase (Vivantis, Malaysia). Amplification was conducted under the following conditions: 1 cycle at 94ºC for 5 min; 35 cycles at 94ºC for 30 s, 55ºC for 30 s; and 72ºC for 30 min and at 72ºC for 5 min. All PCR products were purified using the Qiagen PCR Purification Kit (Qiagen, Germany) and finally sequenced (Macrogen, Korea). (BOD) and alkalinity were measured according to APHA et al. (1992). Nitrate nitrogen (NO3-N), ammonia nitrogen (NH3-N) and reactive phosphorus (PO4-3) were measured (DR 2100, HACH Company). These physico-chemical parameters are shown in Table 2. Relationship analysis: Sequences were aligned using the computer programs ClustalX v1.64 (Thompson et al., 1994; Thompson et al., 1997). Genetic relationships of C. circumdatus were analyzed with neighbor joining (NJ) Chironomid larvae collection and identification: Chironomid larvae (Chironomidae) were collected at all 302 Curr. Res. J. Biol. Sci., 4(3): 301-305, 2012 Table 3: Pairwise genetic distance kamura 2-parameter for the COI gene sequence MK6 MK3 MK7 MK2 MK4 MN5 MN6 MN7 CMU9 CMU5 MK6 MK3 0.002 MK7 0.000 0.002 MK2 0.002 0.003 0.002 MK4 0.002 0.003 0.002 0.003 MN5 0.005 0.006 0.005 0.006 0.006 MN6 0.005 0.006 0.005 0.006 0.006 0.003 MN7 0.008 0.010* 0.008 0.010* 0.010* 0.006 0.006 CMU9 0.013 0.014 0.013 0.014 0.014 0.011 0.011 0.014 CMU5 0.014* 0.016* 0.014* 0.016* 0.016* 0.013* 0.013* 0.016* 0.018 Marks of significance: * p<0.05 analyses were conducted using the Kumar method in MEGA5 (Nei and Kumar, 2000; Tamura et al., 2011) Table 4: Mean genetic distance between tree populations MN CMU MK MN 0.007 CMU 0.015 0.013 C. circumdatus indicates that the COI gene sequence shows larger distance when compared to the COI gene sequence of (Diptera, Sarcophagidae) species in India (Bajpai and Tewari, 2010). The Tajima test statistic (Tajima, 1989) was estimated by using MEGA 5.0 (Tamura et al., 2011). All positions containing gaps and missing data were eliminated from the dataset (complete deletion option). The overall Nucleotide diversity (B) for the three populations was 0.0301. Mean diversity within subpopulation (±SE) was 0.008 (±0.002) and coefficient of differentiation was 0.015 (±0.182) for the polymorphism statistics for the 635 bp region of the mitochondrial COI gene in all populations of C. circumdatus according to Tajima's Neutrality Test for 11 sequences. The pairwise genetic distance among sample of C. circumdatus ranges from 0.000-0.018 and mean genetic distance = 0.032 (±0.003) for the mitochondrial COI genes (Table 3) and mean genetic distance between tree populations (Table 4). Analysis of genetic distances on the basis of sequence difference for the COI mitochondrial gene shows very little genetic difference. A phylogenetic tree was constructed by the neighbor-joining analysis with 2,000 bootstrapped replications in MEGA 5.0 (Fig. 1). The discrepancy in the phylogenetic trees based on individual genes may be due to the fact that these genes are evolving at different rates. as implemented by the program MEGA 5.0 (Tamura et al., 2011) on the basis of the amino acid alignment using both an uncorrected p and more sophisticated distances (Jones et al., 1992). Tree robustness was evaluated by bootstrapping (Felsenstein, 1985) with 2,000 replicates. The average interspecific genetic divergence was calculated with the Kimura 2-parameter model (Kimura, 1980) using the MEGA 5.0 program. RESULTS AND DISCUSSION Water quality at the study sites: The physicochemical parameters of water samples from all three sites, especially DO, BOD5, NOG3-N, and NH3-N, were rated according to the classification of water quality as defined by the Surface Water Quality Standard of Thailand (The National Environment Committee Announcement No. 8, B.E. 2537). The revealed water quality at all sites was classed in the third to fifth (3-5) categories. The overall water quality assessment indicated that the water was rich of in NOG3-N and PO4G3 which is caused by agriculture, industry and transportation. These, nutrients also promote the growth of moss and attach algae at the bottom of water channel which provides habitat and much food for Chironomus spp. Phylogenetic relationship: The genetic relationship using the neighbor-joining (NJ) method with 2,000 bootstrapped replications. It was found that the groups from Chiang Mai University (CMU) and Maharaj Nakhon Chiang Mai Hospital (MN) can be grouped as one and Maeka-Maeping (MK) had a clear genetic difference (Fig. 1) The NJ tree was found to be related to the physicochemical parameters of the water samples. Our work could be used not only as a guideline for further study on genetic diversity but also as parameters of water samples of the C. circumdatus in other population groups. Genetic diversity: The sequences obtained in the present study were merged with previously published sequences (accession numbers JQ287743-JQ287751) from three locations in Chiang Mai Province, Thailand. COI amplified, were 635bp in C. circumdatus. The mitochondrial COI genes of C. circumdatus samples analyzed correspond to the positions 635 for COI genes of C. circumdatus. The average nucleotide composition across all C. circumdatus was A = 26.2%, T = 40.1%, C = 17.4% and G = 16.3%. A smaller transition/transversion ratio has been ascribed to the increase of distances among diptera (Segura et al., 2006). The average transition/transversion ratio of 15.42 for COI in CONCLUSION This study has shown that genetic relationships between C. circumdatus obtained from cytochrome oxidase subunit I gene in mtDNA and water parameters are related. The COI mtDNA gene has proven useful in 303 Curr. Res. J. Biol. Sci., 4(3): 301-305, 2012 Guryev, V., I. Makarevitch, A. Blinov and J. Martin, 2001. Phylogeny of the genus Chironomus (Diptera) inferred from DNA sequences of mitochondrial cytochrome b and cytochrome oxidase I. Mol. Phyl. Evol., 19: 9-21. Jones, D.T., W.R. Taylor and J.M. Thornton, 1992. The rapid generation of mutation data matrices from protein sequences. Comput. Appl. Biosci., 8: 275-282. Kimura, M.A., 1980. Simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. J. Mol. Evol., 16: 111-120. Marcello, B. and F. Bambacigno, 1987. Chironomids as water quality indicators in the river Mignone (Central Italy). Hydrobiol. Bull., 2: 213-222. Martin, J., 1979. Chromosomes as tools in taxonomy and phylogeny of Chironomidae (Diptera). Ent. Scand. Suppl., 10: 67-74. Morris, D.L. and M.P. Brooker, 1980. An Assessment of the Importance of the Chironomidae (Diptera) in Biological Surveillance. In: Murray, D.A., (Ed.), Chironomidae Ecology, Systematics, Cytology and Physiology. Pergamon Press, Oxford, pp:195-202. Nei, M. and S. Kumar, 2000. Molecular evolution and phylogenetics. Oxford University Press, New York. Pinder, L.C.V., 1986. Biological of freshwater chironomidae. Ann. Rev. Entomol., 31: 1-23. Roongruangwongse, W., S. Promkutkaew and S. Supasri, 2005.Chironomid larvar (Chironomidae) diversity and water quality of the Ping River after passing Chiang Mai City. Proceedings of the 1stAcademic Days Chiang Mai University’s Research Path, pp: 641-645. Salman, A.A., M.N. Siti Azizah, C.S. Md Rawi and A.H. Ahmad, 2009. Preliminary study of phylogenetic relationship of rice field chironomidae (Diptera) inferred from DNA sequences of mitochondrial cytochrome oxidase subunit I. Am. J. Appl. Sci., 6(5): 1004-1009. Sambrook, J., E.F. Fritsch and T. Maniatis, 1989. Molecular Cloning: A laboratory manual. 2nd Edn., Cold Spring Harbor Laboratory Press, New York. Segura, M.D., C. Callejas, M.P. Fernandez and M.D. Ochando, 2006. New contributions towards the understanding of phylogenetic relationships among economically important fruit flies (Diptera: Tephritidae). Bull. Entomol. Res., 96: 279-288. Tajima, F., 1989. Statistical methods to test for nucleotide mutation hypothesis by DNA polymorphism. Genetics, 123: 585-595. Tamura, K., D. Peterson, N. Peterson, G. Stecher, M. Nei and S. Kumar, 2011. MEGA5: Molecular evolutionary genetics analysis using maximum likelihood, distance and maximum parsimony methods. Molec. Biol. Evol., 28(10): 273-2739. precise identification of C. circumdatus species. Although molecular methods are easy to apply considerable DNA data is required covering as many member species as possible for establishing reliable phylogenetic relationships. ACKNOWLEDGMENT We wish to thank the National Research University Project under Thailand's Office of the Higher Education Commission for financial support, The Graduate school, Chiang Mai University which supported this work and we thank the Animal Genetic Laboratory, Department of Biology, Faculty of Science, Chiang Mai University, for assistance. REFERENCES APHA, AWWA and WPCF, 1992. Standard methods for the examination of water and wastewater. 18th Edn., American Public Health Association Inc., New York. Armitage, P.D., P.S. Cranston and L.C.V. Pinder, 1995. The Chironomidae: The Biology and Ecology of non Biting Midges. Chapman and Hall, Cornwall. Avise, J.C., 2004. Molecular Markers, Natural History and Evolution. 2nd Edn., Sinauer, Sunderland. Bajpai, N. and R.R. Tewari, 2010. Mitochondrial DNA sequence-based phylogenetic relationship among flesh flies of the genus Sarcophaga (Sarcophagidae: Diptera). J. Genet., 89: 51-54. Birungi, J. and L.E. Munstermann, 2002. Genetic structure of Aedes albopictus (Dipera: Culicidae) populations based on mitochondrial ND5 sequences: Evidence for an independent invasion into Brazil and United States. Genetics, 95: 125-132. Brower, A.V.Z., 1994. Rapid morphological radiation and convergence among races of the butterfly Helicinius erato inferred from patterns of mitochondrial DNA evolution. Proc. Nat. Acad. Sci. USA, 91: 6491-6495. Cranston, P.S., 1995. Chironomids: From Genes to Ecosystems. CSIRO, Melbourne, pp: 482. de Brito, R.A., M.H. Manfrin and F.M. Sene, 2002. Mitochondrial DNA phylogeography of Brazilian populations of Drosophila buzzatii. Gent. Mol. Biol., 25: 161-171. Excoffier, L., P.E., Smouse and J.M. Quattro, 1992. Analysis of molecular variance inferred from metric distances among DNA haplotypes: Application to human mitochondrial DNA restriction data. Genetic, 131: 479-491. Felsenstein, J., 1985. Confidence limits on phylogenies: An approach using the bootstrap. Evolution, 39: 783-791. 304 Curr. Res. J. Biol. Sci., 4(3): 301-305, 2012 Thompson, J.D., T.J. Gibson, F. Plewniak, F. Jeanmougin and D. Higgins, 1997. The ClustalX Windows interface: Flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucl. Acids Res., 25: 4876-4882. Wiederholm, T., 1983. Chironomidae of the Holarctic region. Keys and diagnoses. Part 1. Larvae. Entomologica Scendinavica; Supplement No.19. Templeton, A.R., E. Routman and A. Phillips, 1995. Separating population structure from population history: A cladistic analysis of the geographical distribution of mitochondrial DNA haplotypes in the Tiger Salamander, Ambystoma tigrinum. Genetics, 140: 767-782. Thompson, J.D., D.G. Higgins and T.J. Gibson, 1994. ClustalW: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, positions specific gap penalties and weight matrix choice, ClustalX Version 1.64. Nucl. Acid Res., 22: 4673-4680. 305