COMPARATIVE SEQUENCE ANALYSIS OF TLR2 TLR4 AND TLR9 GENES AMONG SELECTED VERTEBRATES-A META-ANALYSIS

Authors

  • Avishek Das Cellular Immunology Laboratory, Department of Zoology, University of North Bengal, Raja Rammohunpur, Siliguri, West Bengal 734013, India
  • Pokhraj Guha Cellular Immunology Laboratory, Department of Zoology, University of North Bengal, Raja Rammohunpur, Siliguri, West Bengal 734013, India
  • Tapas Kumar Chaudhuri Corresponding Author - Professor Tapas Kumar Chaudhuri, Cellular Immunology Laboratory, Department of Zoology, University of North Bengal, Raja Rammohunpur, Siliguri, West Bengal 734013, India

DOI:

https://doi.org/10.22159/ijpps.2016v8i11.14393

Keywords:

Pattern recognition receptors, RSCU, Tajima`s test, Disparity index

Abstract

Objective: Toll-like receptors are the pattern recognition receptors that recognize a diverse set of conserved pathogens. The receptors are also constantly under selection pressure because of the host antigen modifications. The present study focuses on how selection and mutation have modified the TLRs throughout the evolution in selected groups.

Methods: We have selected the sequences of TLR2, 4 and 9 among Hominid group, Homo sapiens, Bubalus bubalis and Danio rerio in our analysis and analyzed different parameters like relative synonymous codon usage (RSCU), sequence divergence, amino acid composition and estimated evolutionary selection forces using Tajima's test.

Results: The phylogenetic assessment proved that positive selection influences TLR2 and TLR4, but neutral selection/balancing selection occurred in TLR9 which concluded from the Tajima's test. Synonymous codon usage described the selection of leucine and arginine in all the sequences which describe the structural similarities of TLRs. Values of nucleotide pairs and disparity index proved the close relationship of Hominid and Human between TLR2 and TLR4 and TLR9 where the distant relationship was found with Danio. It can be hypothesized that some of the codons may be best selected for binding with the antigens and it was selected in the genome and some were eliminated due to selection pressure.

Conclusion: The present study aimed to substantiate the closeness of TLR2 and TLR4 due to their functional similarity but distant with TLR9 because of the different antigens they recognized in the endosome.

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References

Akira S, Takeda K, Kaisho T. Toll-like receptors: critical proteins linking innate and acquired immunity. Nat Immunol 2001;2:675–80.

Kumar SG, Manjula J, Rajasekaran C, Manoj MN, Subbarao PV, Chandrasekhar BN. Trends in the diagnosis of human immunodeficiency virus. Asian J Pharm Clin Res 2013;6:1-4.

Doke S, Shabri M, Shaikh G, Patil SM. AIDS in pregnancy–a review. Asian J Pharm Clin Res 2010;3:151-8.

Kalla PK, Lalnunthari K, Arjunan S. Cloning and molecular characterization of GAG gene from HIV-1into E. coli DH5A host. Int J Curr Pharm Res 2014;6:41-4.

Schwartz DA, Cook DN. Polymorphisms of the toll-like receptors and human disease. CID 2005;41:403–7.

Saxena R, Khan F, Masood M, Qureshi Z, Rathore M. Review on organ transplantation: a social, medical need. J Crit Rev 2016;3:23-9.

Wu H, Chadban SJ. Roles of toll-like receptors in transplantation. Curr Opin Organ Transplant 2014;19:1-7.

Netea MG, Wijmenga C, O’Neill LA. Genetic variation in toll-like receptors and disease susceptibility. Nat Immunol 2012;13:535-42.

Wlasiuk G, Nachman MW. Adaptation and constraint at toll-like receptors in primates. Mol Biol Evol 2010;27:2172–86.

Nielsen R, Bustamante C, Clark AG, Glanoski S, Sackton TB, Hubisz MJ, et al. A scan for positively selected genes in the genomes of humans and chimpanzees. PLoS Biol 2005;3:976–85.

Biswas S, Joshua AM. Genomic insights into positive selection. Trends Genet 2006;22:437-46.

Ihaka R, Genleman RR. A language for data analysis and graphics. J Computational Graphical Statistics 1996;5:299-314.

Kumar S, Gadagkar SR. Disparity index: a simple statistic to measure and test the homogeneity of substitution patterns between molecular sequences. Genetics 2001;158:1321–7.

Kimura M. The Neutral Theory of Molecular Evolution. Cambridge University Press; 1983.

Gillespie JH. The Causes of Molecular Evolution, Oxford University Press; 1991.

Feng-Chi Chen, Wen-Hsiung L. Genomic divergences between Humans and other Hominoids and the effective population size of the common ancestor of humans and chimpanzees. Am J Hum Genet 2001;68:444–56.

Jault C, Pichon L, Chluba J. Toll-like receptor gene family and TIR-domain adapters in Danio rerio. Mol Immunol 2004;40:759-71.

Singh J, Mukhopadhyay CS, Arora JS, Kaur S. Biocomputational characterization and evolutionary analysis of bubaline dicer1 enzyme. Asian Australas J Anim Sci 2015;28:876-87.

Published

01-11-2016

How to Cite

Das, A., P. Guha, and T. K. Chaudhuri. “COMPARATIVE SEQUENCE ANALYSIS OF TLR2 TLR4 AND TLR9 GENES AMONG SELECTED VERTEBRATES-A META-ANALYSIS”. International Journal of Pharmacy and Pharmaceutical Sciences, vol. 8, no. 11, Nov. 2016, pp. 180-5, doi:10.22159/ijpps.2016v8i11.14393.

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