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Analysis of Phylogenetic Relationship Among Carangoides Species using Mega 6
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1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1804 ANALYSIS OF PHYLOGENETIC RELATIONSHIP AMONG CARANGOIDES SPECIES USING MEGA 6 NIVETHA SARAH EBENEZER1, JOYCE PRIYAKUMARI C2* 1Research Assistant, Bioinformatics Infrastructure Facility (BIF), BTIS Net Centre, Department of Zoology, Madras Christian College, Tambaram (East), Chennai-600059, Tamil Nadu, India 2Assistant Professor, Bioinformatics Infrastructure Facility (BIF), BTIS Net Centre, Department of Zoology, Madras Christian College, Tambaram (East), Chennai-600059, Tamil Nadu, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The Phylogenetic analysis of Cytochrome b, mitochondrion (partial) protein sequences of Carangoides species having the length of 380 amino acids was performed using the tool Molecular Evolutionary Genetics Analysis (Mega6).The evolutionary relationship among seven species was determined. A Maximum Likelihoodtreewiththelengthof the branch along with a traditional straight branch tree was constructed. Multiple sequence alignment for the protein sequences was performed using Clustal Omega and their Percentage Identity Matrix was calculated showing the identity between the species. Key Words: Phylogenetics, Carangoides, Carangidae, Maximum likelihood tree, Cytochrome B. 1. INTRODUCTION Carangoides is a genus of tropical and subtropical marine fishes in the jack family, Carangidae. They are small to large- sized, deep-bodied fish characterized by certain gill raker and jaw morphology, often appearing verysimilartojacksin the genus Caranx and are widely distributed in all tropical and subtropical regions of the Indian, Atlantic and Pacific oceans, mostly occupying coastal areas, including reefs, bay sand estuaries. They are also distributed along Madagascar, East Africa, Red Sea, Taiwan, and Japan. The genus Carangoides was first erected by Pieter Bleeker in 1851 for an unknown taxon and currently containing 21species [1].The carangids are categorized under five main sub groups as black pompfrets, queen fishes, trevallies, scads, and pompanos. Seven species of the Carangidae family have been used for the Phylogenetic analysis: Table -1: Seven species of Carangoides S.NO SCIENTIFIC NAME COMMON NAME SIZE(Length) 1. Carangoides dinema Shadowtrevally 85cm 2. Carangoides equula White fin trevally 37 cm 3. Carangoides ferdau Blue trevally 70 cm 4. Carangoides malabaricus Malabar 60 cm trevally 5. Carangoides oblongus Coach whip trevally 46 cm 6. Carangoides orthogrammus Island trevally 75cm 7. Carangoides uii Japanese trevally 40 cm These fishes are predatory in nature, consuming a variety of smaller fishes, crustaceans and cephalopods as prey. Phylogenetic relationships are discovered through the methods of the phylogenetic inference which evaluate heritable traits, such as DNA sequences. The software called Molecular Evolutionary Genetics Analysis (MEGA) is developed for comparative analysis of protein and nucleotide sequences to infer the molecular evolutionary patterns of genes, genomes, and species over time [2]. This software qualifies the given data andproduces a result where the evolutionary relationship among organisms or the history of an individual organism is represented in the form of a tree. 2. MATERIALS AND METHODS 2.1 Retrieval of protein sequences: The protein Cytochrome B is found in the mitochondria of eukaryotic cells which is themainsubunitofcytochrome bc1 and bf6 complexes. It functions in cellular respiration involving electron transport chain for the generation of ATP [3]. Cytochrome B (mitochondrial) proteinsequencefromall the seven species was retrieved from the National Center for Biotechnology Information (NCBI) (https://www.ncbi.nlm.nih.gov/) in the FASTA format, a format which represents the protein sequence.Thelength of the sequence of the seven species was 380 amino acids. 2.2 Multiple Sequence alignment: Multiple sequence alignment for the seven species was performed using online software known as Clustal Omega (https://www.ebi.ac.uk/Tools/msa/clustalo/).
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1805 2.3 Construction of Phylogenetic Tree: The retrieved FASTA sequences were uploaded into the MEGA 6 software. The Maximum-likelihood tree was constructed by computing and analysis of the given data. A traditional straight branch tree was also constructed to illustrate a clear view of evolutionary relationship. 3. RESULTS AND DISCUSSION Alignment of multiple sequences highlights areas of similarity which may be related with specific features that are more highly conserved than otherregions. Theseregions are used to classify sequences. Multiple sequence alignment is an important step for phylogenetic analysis,whichaimsto model the alterations that have occurred over time and derive the evolutionary relationships between sequences. Fig (1). Sequence alignment of Carangoides species using Clustal Omega. Here, the polar amino acids are marked in green, the non- polar amino acids are marked in red and the electrically charged amino acids (negative & hydrophilic) are marked in blue. The “*” (asterisk) indicates positions having a single, fully conserved region. The “:” (colon) indicates conserved region between groups of strongly similar properties. The“.” (period) indicates conserved region between groups of weakly similar properties. Table (2). Percentage Identity Matrix The percentage identity matrix showing the identity between the seven Carangoides species is given in (Table 2). The sequences are most likely to be similar with minute differences in their sequence. This is a matrix system. According to the matrix, C. malabaricus (1) is 98.16% similar to C. uii (2), 98.42% similar to C. dinema (3), 98.16% similar to C. oblongus (4), 97.11% similar to C. equula (5), 98.16% similar to C. ferdau (6), 98.42% similar to C. orthogrammus (7). Correspondingly, the identity matrix percentage is read in the same method for all the given species. The Cytochrome B sequences from Carangoides dinema (AHC57661), Carangoides equula (YP_009108298), Carangoides ferdau (AHC57658), Carangoides malabaricus (YP_009024969), Carangoides oblongus (AHC57662), Carangoides orthogrammus(AHC57659)andCarangoidesuii (AHC57660) having the amino acid length as 380 were computed in MEGA 6 software. A sequence explorer displays the data of the aligned sequences. It also provides a number of valuable functionalities to explore the statisticalattributesofthedata. For example, it shows the conserved and variable domain of the sequences. Fig (2). The sequence data explorer. Fig (3). The conserved domain of the sequences. Conserved domains are regions which stay constant or which are not altered in due course of evolution. These regions are the unique regions of the ancestors that are passed on to their progeny. Here the highlighted regions are
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1806 the conserved domains. The conserved region of the sequences together is 361 out of the 380 amino acids. Fig (4). The variable domain of the sequences. Variable domains are regions in a sequence which may be altered in the due course of evolution. The alteration may be due to genetic mutations. The highlighted regions are the variable domain. The variable region of the sequences together is 19 out of 380 amino acids. Maximum likelihood is a general statistical method for estimating unknown parameters of a probability model. A parameter is some descriptor of the model. A familiarmodel might be the normal distribution of a population with two parameters: the mean and variance. In phylogenetics there are many parameters, including rates, differential transformation costs, and, most important, the tree itself. A tree is a graphical representation showing the evolutionary relationships among organisms. There are individual sources of sequences which are phylogenetically distinct units on the tree known as taxa. The tree is composed of nodes (representing taxa), a point where branches bifurcate. The branching (speciation)indicatesthe evolutionary relationship among the organisms. Two or more daughter lineages are formed from a single lineage when speciation occurs. Two lineages arising from the same branch point are called as sister taxa.Abranchhavingtwo or more lineages is called a polytomy. The sister taxa and polytomy do not share an ancestor and they may have split at a specific branch point. A grouping that includes a common ancestor and all its descendants is known as a Clade, which forms a nested hierarchy. A tree can be distinguished into a rooted, an unrooted and a bifurcating tree. A rooted tree has a single lineage, representing a commonancestorthatconnectsall organisms presented in the phylogenetic tree. An unrooted tree specifies the relationships among organisms, but not their evolutionary paths. A bifurcating tree is one where each ancestral lineage gives rise to two descendent lineages. Fig (5). Maximum Likelihood Tree with thelengthofeachof the branch. The constructed tree is inferred as a bifurcating rooted tree. The horizontal lines or branch, represent evolutionary lineages changing over time. The longer the branch is the greater is the amount of change. The line at thebottomofthe figure is the scale for the branches. Here the line segment with the number '0.002' shows the length of branch. This represents the amount of genetic change of 0.002. The given units of branch length are usually nucleotide substitutions per site (the number of changes per 100 nucleotide sites). The branch length of C. malabaricus (0.0110) means to expect an average of 0.0110 substitutions per site. This applies to all the branches of the tree. The branchlengthalso represents a measure of support forthenode.Themaximum support for a node is 1. Fig (6). Traditional Straight branch style tree under Maximum Likelihood Tree
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1807 The Maximum Likelihood method based on the JTT (Jones DT, Taylor WR, and Thornton JM) matrix-based model was used to infer the evolutionary history. The tree with the highest log likelihood (-1257.76) is shown in (Fig 6). Initial trees for the heuristic search were obtained automatically using a JTT model, and then were obtained by selecting the topology with the highest log likelihood value. The tree is drawn to scale, with branch lengthsmeasuredinthenumber of substitutions per site. The analysis involved 7 amino acid sequences of the Carangoides species. All the positions containing gaps and missing data were eliminated. The total position in the final data set was 380. The tree infers that C. equula, C. ferdau and C. orthogrammus are closely related. C. dinema and C. oblongus are branched from different nodes from a commonancestor.Thiscommon ancestor also deviated into another branch, which gives rise to C. malabaricus and C. uii. Understanding the length of the branches, the precise phylogenetic lineage and relationship among the species can be procured. 4. CONCLUSION In this study, phylogenetic analysis of Cytochrome B protein sequences of Carangoides species was accomplished.Having a common ancestor, C. equula, C. ferdau, C. orthogrammus and C. dinema, C. oblongus, C. malabaricus, C. uii arisetofrom two separate lineages (from a node). Accordingtothelength of the branches of the maximum likelihood tree, it can be concluded that C. orthogrammus might have been evolved much earlier than the other six species. C. malabaricus and C. equula would have been evolved much later. Multiple sequence alignment performed by using Clustal Omega indicated the identical regions andpercentageidentityof the sequences. The percentage identity of six species of Carangoides was relativelyidentical.Thepercentageidentity of C. uii slightly differed from the other Carangoides species. ACKNOWLEDGEMENT I thank Biotechnology information system network (BTISNET) centre sponsored by Department of Biotechnology, Ministry of Science and Technology and Government of India for supporting my work. REFERENCES [1] Persis M., Chandra Sekhar Reddy A., Rao L. M., Khedkar G. D., Ravinder K, Nasruddin K(2008). COI (cytochrome oxidase-I) sequence based studies of Carangid fishes from Kakinada coast, India. Molecular Biology Reports. Mol Biol Rep 36:1733–1740. DOI 10.1007/s11033-008- 9375-4 [2] Koichiro Tamura, Glen Stecher, 3 Daniel Peterson, Alan Filipski and Sudhir Kumar(2013). MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0. Oxford journals – Molecular Biology and Evolution. 30(12):2725–2729 doi:10.1093/molbev/mst197. [3] Mahender Singh*, Ashish Gupta and Lakra W.S (2012). In silico 3-D structure prediction of cytochrome b protein of sisorid catfish Glyptothoraxngapang. Indian Journal of Biotechnology.Vol 11, April 2012, pp156-162. [4] Min Liab, ZirongHuanga & Zuozhi Chena (2016) ;27(1):378-9. doi:10.3109/19401736.2014.895994. Epub 2014 Mar 11. Characterization of the mitochondrial genome of the Malabar trevally Carangoides malabaricus and related phylogenetic analyses. [5] Pai-Lei Lin and Kwang- Tsao Shao*(1999). A Review of the Carangid Fishes (Family Carangidae) from Taiwan with Descriptions of Four New Records.Institute of Zoology, Academia Sinica, Taipei, Taiwan 115, R.0. C.Zoological Studies 38(1): 33-68. [6] Seishi Kimura, Keiichi Matsuura, Sasanti R.Suharti, and TeguhPeristiwady.Fishes of Bitung.D VIII-I,21-23; A II- I,18-19; Scutes 16-26; GR 5-7+15-18 www.kahaku.go.jp/research/db/zoology/Fishes_of_Bitu ng/data/p076_02b.html [7] Jones D.T., Taylor W.R., and Thornton J.M. (1992). The rapid generation of mutation data matricesfrom protein sequences. Computer Applications in the Biosciences 8: 275-282 [8] Tamura K., Stecher G., Peterson D., Filipski A., and Kumar S. (2013). MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Molecular Biology and Evolution30: 2725-2729 [9] Mar´aı D. Ganfornina, Gabriel Gutie´rrez,Michael Bastiani,and Diego Sa´nchez (2000). A Phylogenetic Analysis of the Lipocalin ProteinFamily.Oxfordjournals – Molecular Biology and Evolution: 17(1):114–126. ISSN: 0737-4038 [10] Barry G. Hall. Building Phylogenetic Trees from Molecular Data with MEGA(2013). Oxford journals – Molecular Biology and Evolution.Bellingham Research Institute, Bellingham, Washington.doi:10.1093/molbev/mst012. [11] F. Williams, P. C. Heemstra, and A. Shameem(1980).Notes on Ido-Pacific Carangidfishesof the genus Carangoides Bleeker II. The Carangoides armatus group bulletin of Marine Science. 30(1): 13-20, 1980. [12] Gareth Palidwor, Emmanuel G Reynaud and Miguel A Andrade-Navarro(2006). Taxonomic colouring of phylogenetic trees of protein sequences. BMC Bioinformatics 2006, 7:79 doi: 10.1186/1471-2105-7- 79. [13] John S. Gunn. A Revision of Selected Genera of the Family Carangidae (Pisces) from Australian Waters. Division of Fisheries, CSIRO Marine Laboratories, Australia. [14] “Phylogenetic Trees.” Boundless Biology. Boundless, 26 May 2016. https://www.boundless.com/biology/textbooks/bound less-biology-textbook/phylogenies-and-the-history-of- life-20/organizing-life-on-earth-133/phylogenetic- trees-539-11748/.
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 03 | Mar -2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 5.181 | ISO 9001:2008 Certified Journal | Page 1808 BIOGRAPHIES Nivetha SarahEbenezercompleted her B.Sc. degree in Advanced Zoology and Biotechnology from Stella Maris College (2014) and M.Sc. degree in Zoology from Madras Christian College in (2016). Currentlysheisworkingas a Research Assistant in Bioinformatics Infrastructure Facility (BIF), of BTIS Net centre at Madras Christian College. Dr. C. Joyce Priyakumari, an Assistant Professor, is also the co- coordinator of Bioinformatics Infrastructure Facility (BIF) of BTIS Net centre at Madras Christian College. She holds a PhD from University of Madras and currently teaches Molecular biology, Biotechnology and Bioinformatics at MadrasChristian College, Chennai. 1’st Author Photo
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