Molecular comparison of Clarias batrachus (Linnaeus, 1758) found in India with the species reported from Bangladesh

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Journal of Biodiversity and Environmental Sciences (JBES) ISSN: 2220-6663 (Print) 2222-3045 (Online) Vol. 6, No. 5, p. 253-257, 2015 http://www.innspub.net RESEARCH PAPER OPEN ACCESS Molecular comparison of Clarias batrachus (Linnaeus, 1758) found in India with the species reported from Bangladesh Shobhna 1*, Haren Ram Chiary 2, Seema Jain 1, Hridaya Shanker Singh 3 1 Department of Zoology, R.G.P.G.College,C.C.S University, Meerut, India 2 Department of Zoology, Kirorimal College, Delhi University, Delhi, India 3 Department of Zoology, Ch. Charan Singh University, Meerut, India Article published on June 17, 2015 Key words: Clarias batrachus, Meerut, 16S rrna, Motif prediction, Secondary structure. Abstract In the present study molecular comparison of Clarias batrachus from Meerut, India was done with the same species reported from Bangladesh using 16S rrna. Since, they are morphologically similar, the conservedness in sequences has been studied using ExpaRNA (online software). Besides this, the study is also supported by motif prediction using MEME online software which can be considered as a promising tool for fish species identification. This molecular comparison reveals intraspecific genetic variation in 16S rrna sequences of C.batrachus from two geographically different locations due to phylogeographic factors. * Corresponding Author: Shobhna shanu.india08@gmail.com 253 Shobhna et al.

Introduction Catfish dominates the domestic aquaculture industry all over the world. Air-breathing catfish from the family Clariidae is composed of 15 genera and 93 species, distributed in freshwaters of Africa, Asia Minor and Southeast Asia (Teugels et al. 2001; Teugels and Adriaens 2003). They are considered as highly prized fish because of their unique suprabranchial organs (Teugels and Adriaens 2003), which enable them to respirate atmospheric oxygen (Greenwood 1961; Graham 1997). Their air-breathing capacity in various hypoxic environments places these fishes as promising species with great economic potential in aquaculture. Traditional methods of fish species identification was based on external morphological characters. Classical identification can sometimes be difficult in case of species showing morphological intraspecific variations. The development in molecular approaches considerably helped the identification of fish species (Kon et al., 2007). In present study to observe intraspecific variation, molecular comparison has been made between C.batrachus from Meerut, India and same species reported from Bangladesh using 16S ribosomal RNA marker. Mitochondrial genes such as 16S rrna are common fish species identification markers that have been widely utilized in fisheries control (Greig et al., 2005), and species delineation (Lemer et al., 2007). Similar to other mitochondrial genes, in animal mitochondrial DNA, this mitochondrial gene has numerous nucleotide substitutions thus can be used for analysis of interspecies and intraspecific sequence variations in the mitochondrial genome. C.batrachus of India and Bangladesh are same species so they should have conserved regions (motifs) in the sequence, number of motifs, their frequency and position must be similar. During the study, an attempt has been made to compare two similar species using molecular 16S rrna sequences. Therefore, secondary structures for each sequence have also been generated separately using ExpaRNA software to compare the conservedness. The conserved sequences are found in all species but at distinct positions. Probable reasons for this genetic variation in the sequences of C.batrachus from India and Bangladesh are discussed in detail. Materials and methods Sampling site Live fishes for the present investigation were collected from Ganga River at the site of Hastinapur, Meerut, India and were also purchased from the local fish markets. Fish identification The identification of fish was made with the help of classical works of Day (1878). Immediately after capture, fish were kept in an aquarium and acclimatized. Molecular study For molecular biological studies blood was taken from the caudal vein by heparanised syringe without sacrificing the fish. DNA was extracted from Geneaid Blood and Tissue kit following manufacturer s instructions. Methods of amplification and sequencing of fish DNA samples were followed from Dubey et al (2014). For this study, 16S region of mitochondrial gene and available primers were used for this region. The PCR products were visualized on 1.2 % agarose gels and the most intense products were selected for sequencing and sequenced bidirectionally using an ABI 3730 capillary sequencer using same primers which were used for amplification reaction following manufacturer s instructions. Molecular analysis Sequence products were subjected to BLAST (Basic Local Alignment Search Tool) for homology search. DNA sequences were aligned using Clustal W (Thompson et al., 2003). The sequence of query species was compared with retrieved sequences (sequence of C.batrachus, Bangladesh: KF997532) to infer genetical distinction between them. The motifs and their regular expressions were predicted with the 254 Shobhna et al.

help of online available software MEME (Timothy et al., 1994). Conservedness in loops of RNA secondary structures was predicted with help of ExpaRNA (Smith et al., 2010). Sequence alignement showing concensus region was done by LocARNA (Sebastian et al., 2012). Result and discussion Motif predictions The motif prediction shows conserved regions (motifs) in each sequences of species, C.batrachus and for this, nucleotide sequences of 16S rrna gene of C.batrachus (from India, Bangladesh) have been used for the motif identification with the help of online available software, MEME. The results of MEME showed three different kinds of motifs in 16S rrna gene sequences of C.batrachus (Fig.1). Minimum motif width is of 39 bases and maximum motif width of 50 bases. Base length of motif one is 41 bases and motif two of 39 bases. However, motif three includes 41 bases. Motif one is denoted by red color, two by green and three as blue color (Fig.2). In sequence of India and Bangladesh Motif one was repeated 4 times, motif two 3 times and motif three 2 times. The position of motifs in Indian sequence is clearly distinct from Bangladesh. The order of motif was found same in sequences of India and Bangladesh but different in position (Table. 1).The shifting pattern is clearly seen in combined block diagram of motifs (Fig.2). This change may be because of changes in climatic conditions. Table 1. Position of different motifs showing shifting and disposition. Accession no. Position of Motif 1 (base pairs) Position of Motif 2 (base pairs) Position of Motif 3 (base pairs) KM494492 122-171 (India) 223-272 KF997532 (Bangladesh) 79-119 181-221 355-395 444-484 92-132 194-234 368-408 457-497 26-64 273-311 491-529 39-77 286-324 504-542 135-184 236-285 Secondary structure predictions Percentage of Guanosine (G) and Cytosine (C) was calculated using GC calculator (http://www.genomicsplace.com/gc_calc.html). It was found 47.2% in species, C.batrachus (accession no. KM494492) from India, 46.4% in same species (KF997532) from Bangladesh. Thus, a structured RNA with higher GC content is likely to have more stable secondary structure. Fig. 1. Motif one, two and three. Study of the RNA secondary structure further confirmed the conserved regions throughout sequence along various types of loops (hairpin, interior, multi, bulge and exterior loop) constructed by non-matched bases of sequences. Secondary structures (Fig. 3) for C.batrachus reported from India and Bangladesh were generated using ExpaRNA software that shows topological differences. Besides 255 Shobhna et al.

the topology pattern, these structures infer the consensus sequences using seven color code patterns (violet, blue, light green, yellow, red, pink and sky blue). These color coded bases are exactly similar in a particular loop but at different position in sequences. In both RNA secondary structures generated, Color coded conserved regions in secondary structure further confirms that all have similar conserved regions in their genetic material but at different positions. It is noted that same genetic material of both the same species have some variations, incorporated in its position, to adapt to different environmental conditions. Fig. 2. Combined block diagram showing motifs in 16S rrna Bangladesh. sequences of C.batrachus of India and Sequences of 16S RNA gene of Indian and Bangladesh sequence of C.batrachus have been aligned using LocARNA, to predict the consensus region, showing color coded plots of alignment (primary results). Consensus sequences are deeply colored. The conservation profile for aligned sequences is given at the base line of each row of alignment in grey color (Fig. 4). Fig. 3. Secondary structures of Indian and Bangladesh C.batrachus, showing conserved regions in different. Loops. This molecular analysis reveals the genetic similarity between same species of C. batrachus from different regions with minor variations. Reasons for genetic variations are due to their geographical distribution or adaptation in different regions. At molecular level, this genetic comparison between Indian and Bangladesh species may provide further clues for understanding the evolution of the species. RNA secondary structure analysis along with motif prediction could be a valuable tool for species discrimination. Fig. 4. Sequence alignement showing consensus regions. 256 Shobhna et al.

References Day F. 1875-78. The fishes of India: being a natural history of the fishes known to inhabit the seas and fresh waters of India, Burma and Ceylon. Text and atlas in 2 parts. London. Indian Reprint by Jagmander Book Agency, New Delhi. XX+ 778 p. 195 Plates. rabbitfishes (Siganidae). Comptes Rendus Biologies 330, 86-94. Smith C, Heyne S, Richter AS, Will S, Backofen R. 2010. Freiburg RNA Tools: a web server integrating IntaRNA, ExpaRNA and LocARNA. Nucleic Acid Research 38, W373-W377. Dubey A, Goswami M, Yadav K, Sharma BS. 2014. Development and characterization of a cell line WAF from freshwater shark Wallago attu. Mol Biol Rep (2014) 41, 915 924. Graham JB. 1997. Air-Breathing Fishes. Evolution, Diversity and Adaptation. San Diego, CA: Academic Press. Greenwood PH. 1961. A revision of the genus Dinotopterus Blgr. (Pisces, Clariidae) with notes on the comparative anatomy of the suprabranchial organs in the Clariidae. Bulletin of the British Museum (Natural History) Zoology 7, 215-241. Greig TW, Moore MK, Woodley CM, Quattro JM. 2005. Mitochondrial gene sequences useful for species identification of western North Atlantic Ocean sharks. Fish Bulletin 103, 516-523. Kon T, Yoshino T, Mukai T, Nishida M. 2007 DNA sequences identify numerous cryptic species of vertebrate: a lesson from the gobioid fish Schindleria, Mol. Phylogenet. Evol. 44, 53-62. Teugels GG, Adriaens D. 2003. Taxonomy and phylogeny of Clariidae - an overview. In G Arratia, BG Kapoor, M Chardon and R Diogo (ed). Catfishes. Enfield, News Hamsphire, USA: Science Publishers: 465-487. Teugels GG, Sudarto L, Pouyard L. 2001. Description of a new Clarias species from Southeast Asia based on morphological and genetical evidence (Siluriformes, Clariidae). Cybium 25, 81-92. Thompson JD, Higgins DG, Gibson TJ. 2003. Clustal W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, positions- specific gap penalties and weight matrix choice. Nucleic Acid Research 22, 4673-80. Timothy L, Bailey, Charles E. 1994. Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, AAAI Press, Menlo Park, California. 28-36. Lemer S, Aurelle D, Vigliola L, Durand JD, Borsa P. 2007. Cytochrome b barcoding, molecular systematic and geographic differentiation in Will S, Joshi T, Hofacker IL., Stadler PF, Backofen R. 2012. LocARNA-P: Accurate boundary prediction and improved detection of structural RNAs RNA, 18(5), 900-14 p. 257 Shobhna et al.