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Molecular Identification of Chironomid Species Based on Its-1 and Its-2 Regions of Rdna

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Molecular Identification of Chironomid Species Based on Its-1 and Its-2 Regions of Rdna Wright State University CORE Scholar Browse all Theses and Dissertations Theses and Dissertations 2007 Molecular Identification of Chironomid Species Based on Its-1 and Its-2 Regions of rDNA Monita Sharma Wright State University Follow this and additional works at: https://corescholar.libraries.wright.edu/etd_all Part of the Biology Commons Repository Citation Sharma, Monita, "Molecular Identification of Chironomid Species Based on Its-1 and Its-2 Regions of rDNA" (2007). Browse all Theses and Dissertations. 117. https://corescholar.libraries.wright.edu/etd_all/117 This Thesis is brought to you for free and open access by the Theses and Dissertations at CORE Scholar. It has been accepted for inclusion in Browse all Theses and Dissertations by an authorized administrator of CORE Scholar. For more information, please contact [email protected]. MOLECULAR IDENTIFICATION OF CHIRONOMID SPECIES BASED ON ITS-1 AND ITS-2 REGIONS OF rDNA A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science By MONITA SHARMA B.Sc. Maharani College, Jaipur, India 2001 2007 Wright State University WRIGHT STATE UNIVERSITY SCHOOL OF GRADUATE STUDIES May 15, 2007 I HEREBY RECOMMEND THAT THE THESIS PREPARED UNDER MY SUPERVISION BY Monita Sharma ENTITLED Molecular Identification of Chironomid species based on ITS-1 and ITS-2 regions of rDNA BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science. ___________________________ Dan E. Krane, Ph.D. ___________________________ David Goldstein, Ph.D. Department Chair, Committee on Biological Sciences Final Examination ____________________________ Dan E. Krane, Ph.D. ____________________________ Stephanie A. Smith, Ph.D. ____________________________ Yvonne M. Vadeboncoeur, Ph.D. ____________________________ Michele Wheatly, Ph.D. Dean, College of Science and Mathematics ____________________________ Joseph F. Thomas, Jr., Ph.D. Dean, School of Graduate Studies ABSTRACT Sharma, Monita. M.S., Department of Biological Sciences, Wright State University, 2007. Molecular Characterization of Chironomid species and their use as bio-indicators. Of all major aquatic invertebrate groups, members of family Chironomidae are most abundant and show a wide range of habitat preferences. The importance of correct identification of Chironomids has been realized in many bioassessment studies mainly because of their worldwide distribution, substrate specificities and predictable responses to various pollutants in the water sources. This study establishes that the sequence data from the Intergenic Spacer Regions (ITS) of ribosomal DNA could be used as molecular markers to distinguish between different Chironomidae species and also to identify them. The need to use molecular approaches, to identify various Chironomidae species, comes from the fact that the rate of misidentifications is fairly high when morphological features are used. A difference of six nucleotides in the sequence data of Chironomus tentans from North America and Europe suggest a low intraspecific variation. A detailed analysis of the ITS-1 and ITS-2 sequence data from seven iii new species of Chironomids (Thienemanniella xena, Xylatopus par, Tribelos fuscicorne, Robackia demeijerei, Tribelos jucundum, Polypedilum aviceps and Chironomus tentans) along with 15 species obtained from Genbank considered in this study shows a high amount of interspecific variations and also that the European species tend to cluster close to each other when compared to North American ones. The high bootstrap values and short intercluster branches, depicted in the phylogram, might suggest presence of various clusters and rapid divergence of species, respectively within the genus Chironomus. Such phylogenetic analysis could also provide more information on the genetic relatedness among different species. iv TABLE OF CONTENTS Page Introduction.....................................1 Methods.........................................27 Results.........................................33 Discussion and Conclusions......................52 Appendices A. Sequence alignment of rDNA for North American C. tentans A1 and C. tentans from Europe EU....................................60 B. Sequence alignment of 18S to 28S subunit of rDNA for 21 species analyzed in this study.................................64 C. (1-3) Sequence alignment of two closely related Chironomid species....................97 D. Sequence alignment of two closely related Chironomid species...........................102 References.....................................106 v LIST OF FIGURES Figure Page 1. Mouthpart deformities in Polypedilum Larvae.....................................12 2. The labial plate of Polypedilum illinosense and Polypedilum convictum..................14 3. Phylogenetic tree of 23 Chironomid species based on gb2b gene data....................16 4. Diagram of rDNA array......................................18 5. An illustration of unequal crossing over...21 6. PCR amplification of 10 Chironomus tentans individuals from Ohio......................39 7. PCR amplification of 10 Chironomus tentans individuals from Colorado..................40 8. PCR amplification of 10 Chironomus tentans individuals from New Hampshire.............41 9. PCR Amplification of four species: C. tentans, T. xena, H. senata and X.par......................................42 10. PCR Amplification of four species: T.fuscicorne, R.demeijerei, T.jucundum and C.tentans..................................43 11. Restriction fragment length polymorphisms generated by enzyme HinfI..................44 12. Restriction fragment length polymorphisms generated by enzyme RsaI...................45 vi LIST OF FIGURES (contd.) Figure Page 13. A.Cladogram for twenty-one Chironomidae species.....................................49 B.Phylogram for twenty-one Chironomidae species.....................................50 14. Cladogram for twenty-one Chironomidae species with bootstrap values at nodes.....51 vii LIST OF TABLES Table Page 1. Major subdivisions, habitats......................4 2. Tolerance values for 18 common Great Lakes Chironomid taxa derived using the Ohio EPA Invertebrate Community Index........................7 3. Four taxa, habitat preferences...................10 4. UPGMA distance matrix............................46 5. UPGMA distance matrix............................48 viii ACKNOWLEDGEMENTS I foremost want to thank my advisor for his support in the project design and technical assistance. Dr. Krane has always encouraged me to attend various state level meetings to learn about the ongoing research in various scientific fields. I also want to thank my committee members, Dr. Smith and Dr. Vadeboncoeur, for their advice. I also want to acknowledge my lab mates – Chad Ferguson and Joe Bartoszek, who were always ready to help if needed. I am grateful for the quality education I received at Wright State University and I hope to take my experience and go on to further successful research. ix Introduction A wide range of organisms belonging to diverse taxonomic groups is known to inhabit the sediment layer of water bodies. These organisms, also known as meiobenthos, (small benthic invertebrates that live in both marine and fresh water environments)include nematodes, crustaceans, annelids and also larval stages of organisms that become larger adult such as Chironomids (Markman et al 2005). The importance of many of these macroinvertebrates (aquatic invertebrates which inhabit a river channel, pond, lake, wetland or ocean) has been realized for bioassessment studies for years. More often biological monitoring is based on observing the response of organisms to changes in their environment (Carew et al 2003). This involves appointing a reference site and then comparing population structure and composition from other sites to the reference (Bailey 2001). For such studies an organism with a wide range of habitat preferences is required so that various sites could be compared to one another. Chironomids or non-biting midges are known to inhabit a wide range of habitats (Entrekin et al 2006). Even the dry and hot African environment is known to be home for a Chironomidae species, Polypedilum vanderplanki (Hinton 1 1960). With an estimate of over 10,000 species worldwide (Cranston 1995), and more than 2,000 species in North- America (Hutchinson 1993), they make good candidates for biomonitoring. The relative immobility of the larval forms of Chironomids as compared to the winged adults, adds to the advantages of using Chironomids for bioassessment (William 1974). Various Chironomidae taxa have been used to identify the general wellbeing of water sources, especially lakes. Studies suggest that relative abundance of various Chironomidae species varies with the change in many factors. These factors include concentration of dissolved oxygen (Little and Smol 2000), phosphorous and chlorophyll a concentration (Woodward and Shulmeister 2006 and Langdon et al 2006), presence of various metals (Gray 1996) and amount of organic content in these water bodies (Entrekin et al 2006). For instance, the relative abundance of Microspectra type is known to decrease with the decrease in the amount of dissolved oxygen (Little and Smol 2000). On the other hand, a decrease in dissolved oxygen leads to an increase in the populations of Chironomus taxa (Little and Smol 2000). The abundance and composition of many Chironomid 2 species changes with the concentration of chlorophyll a in the lake (Woodward
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