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Genetic portrait of Tamil non-tribal and Irula tribal population using Y chromosome STR markers

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Abstract

The 17 Y chromosomal short tandem repeat loci included in the AmpFlSTR® Yfiler™ PCR Amplification Kit were used to analyse the genetic diversity of 517 unrelated males representing the non-tribal and Irula tribal population of Tamil Nadu. A total of 392 unique haplotypes were identified among the 400 non-tribal samples whereas 111 were observed among the 117 Irula tribal samples. Rare alleles for the loci DYS458, DYS635 and YGATAH4.1 were also observed in both population. The haplotype diversity for the non-tribal and Irula tribal population were found to be 0.9999, and the gene diversity ranged from 0.2041 (DYS391) to 0.9612 (DYS385). Comparison of the test population with 26 national and global population using principal coordinate analysis (PCoA) and determination of the genetic distance matrix using phylogenetic molecular analysis indicate a clustering of the Tamil Nadu non-tribal and Irula tribal population away from other unrelated population and proximity towards some Indo-European (IE) and Asian population. Data are available in the Y chromosome haplotype reference database (YHRD) under accession number YA004055 for Tamil non-tribal and YA004056 for the Irula tribal group.

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References

  1. Singh KS (2002) People of India, Introduction (Revised Edition), Anthropological Survey of India, Oxford University Press

  2. Cavalli-Sforza LL, Menozzi P, Piazza A (1994) The history and geography of human genes. University Princeton, Princeton

    Google Scholar 

  3. Jobling MA, Pandya A, Tyler-Smith C (1997) The Y chromosome in forensic analysis and paternity testing. Int J Leg Med 110:118–124

    Article  CAS  Google Scholar 

  4. Corach D, Figueira RL, Marino M, Penacino G, Sala A (2001) Routine Y-STR typing in forensic case-work. Forensic Sci Int 118:131–135

    Article  CAS  PubMed  Google Scholar 

  5. Jobling MA, Tyler-Smith C (2003) The human Y chromosome: an evolutionary marker comes of age. Nat Rev Genet 4:598–612

    Article  CAS  PubMed  Google Scholar 

  6. Excoffier LG, Laval G, Schneider S (2005) Arlequin ver. 3.0: an integrated software package for population genetics data analysis. Evol Bioinformatics Online 1:47–50

    CAS  Google Scholar 

  7. Nei M (1987) Molecular evolutionary genetics. Columbia University Press, New York, pp 176–179

    Google Scholar 

  8. Willuweit S, Roewer L (2007) International forensic Y chromosome user group. Y Chromosome Haplotype Reference Database (YHRD): update. Forensic Sci Int Genet 1:83–87

    Article  PubMed  Google Scholar 

  9. Roewer L, Kayser M, Dieltjes P, Nagy M, Bakker E, Krawczak M, De Knijff P (1996) Analysis of molecular variance (AMOVA) of Y-chromosome-specific microsatellites in two closely related human populations. Hum Mol Genet 5(7):1029–1033

    Article  CAS  PubMed  Google Scholar 

  10. Takezaki N, Nei M, Tamura K (2010) POPTREE2: software for constructing population trees from allele frequency data and computing other population statistics with windows-interface. Mol Biol Evol 27(4):747–752

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  11. Peakall R, Smouse PE (2006) GENALEX 6.5: genetic analysis in excel population genetic software for teaching and research. Mol Ecol Notes 6:288–295

    Article  Google Scholar 

  12. Hou YP, Zhang J, Li YB, Wu J, Zhang SJ, Prinz M (2001) Allele sequences of six new Y-STR loci and haplotypes in the Chinese Han population. Forensic Sci Int 118:147–152

    Article  CAS  PubMed  Google Scholar 

  13. Parson W, Roewer L (2010) Publication of population data of linearly inherited DNA markers in the International Journal of Legal Medicine. Int J Legal Med 124:505–509

    Article  PubMed  Google Scholar 

  14. Poetsch M, Bajanowski T, Pfeiffer H (2012) The publication of population genetic data in the International Journal of Legal Medicine: guidelines. Int J Legal Med 126:489–490

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank all the blood donors who contributed to this study.

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The authors declare that they have no competing interests.

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Correspondence to Rajshree Raghunath.

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Raghunath, R., Krishnamoorthy, K., Balasubramanian, L. et al. Genetic portrait of Tamil non-tribal and Irula tribal population using Y chromosome STR markers. Int J Legal Med 130, 367–369 (2016). https://doi.org/10.1007/s00414-015-1207-1

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  • DOI: https://doi.org/10.1007/s00414-015-1207-1

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