Genetic diversity and population structure of Indian soybean (Glycine max (L.) Merr.) as revealed by microsatellite markers

Abstract

The genetic structure and diversity of 148 soybean genotypes were analyzed using 26 simple sequence repeat (SSR) markers. SSR analysis showed distinctive polymorphism among the 148 lines. A total of 71 alleles were detected with an average of 2.8 alleles per SSR locus. Polymorphism information content varied from 0.118 to 0.699 with an average of 0.369. These soybean genotypes were divided into 3 subgroups based on STRUCTURE analysis. Further comparison showed that the arithmetic average (UPGMA) and STRUCTURE subgroups in fact were highly coherent, as genotypes in their subsequent classified group exhibited consistency with their origins or pedigree. This analysis provided a deep insight into the genetic structure of soybeans in India and will help us to improve the breeding strategies.

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References

  1. Almeida RD, Peluzio JM, Afferri FS (2011) Divergência genética entre cultivares de soja, sob condições de várzea. Rev Ciênc Agron 42:108–115

    Article  Google Scholar 

  2. Anderson JA, Churchill GA, Autrique JE, Tanksley SD, Sorrells ME (1993) Optimizing parental selection for genetic linkage maps. Genome 36:181–186

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Bisen A, Khare D, Nair P, Tripathi N (2015) SSR analysis of 38 genotypes of soybean (Glycine max (L.) Merr.) genetic diversity in India. Physiol Mol Biol Plants 21:109–115

    Article  CAS  PubMed  Google Scholar 

  4. Bommi P, Ferguson DL (2005) Soybean cultivars Identification within a selected group using only an agarose gel system with simple sequence repeats DNA markers. Soybean Genet Newsl 32:1–7

    Google Scholar 

  5. Chang SH, Teng TT, Ismail N (2011) Screening of factors influencing Cu (II) extraction by soybean oil-based organic solvents using fractional factorial design. J Environ Manage 92(10):2580–2585

    Article  CAS  PubMed  Google Scholar 

  6. Cregan PB, Jarvik T, Bush AL, Shoemaker RC, Lark KG, Kahler AL, Kaya N, VanToai TT, Lohnes DG, Chung J, Specht JE (1999) An integrated genetic linkage map of the soybean. Crop Sci 39:1464–1490

    Article  CAS  Google Scholar 

  7. Cunha MCG, Hamawaki OT, Sousa LB (2013) Genetic variability among 79 soybean progenies from UFU breeding program. Biosci J 29:340–349

    Google Scholar 

  8. Excoffier L, Lischer HEL (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour 10:564–567

    Article  PubMed  Google Scholar 

  9. Jain S, Jain RK, McCouch SR (2004) Genetic analysis of Indian aromatic and quality rice (Oryza sativa) germplasm using panels of fluorescently-labeled microsatellite markers. Theor Appl Genet 109:965–977

    Article  CAS  PubMed  Google Scholar 

  10. Liu K, Muse S (2005) Power marker: new genetic data analysis software. Release 3.0. http://powermarker.net; verified 9 September

  11. Narvel JM, Fehr WR, Chu WC, Grant D, Shoemaker RC (2000) Simple sequence repeats diversity among soybean plant introductions and elite genotypes. Science 40:1452–1458

    CAS  Google Scholar 

  12. Nei M (1972) Genetic distance between populations. Am Nat 106:283–292

    Article  Google Scholar 

  13. Powell W, Machray GC, Provan J (1996) Polymorphism revealed by simple sequence repeats. Trends Plant Sci 1:215–222

    Article  Google Scholar 

  14. Prevost A, Wilkinson MJ (1999) A new system of comparing PCR primers applied to ISSR fingerprinting of potato cultivars. Theor Appl Genet 98:107–112

    Article  CAS  Google Scholar 

  15. Pritchard JK, Wen W (2003) Documentation for STRUCTURE software: Version 2. Available from http://pritch.bsd.uchicago.edu

  16. Pritchard JK, Stephens P, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959

    CAS  PubMed  PubMed Central  Google Scholar 

  17. Saghai Maroof MA, Soliman KM, Jorgensen RA, Allard RW (1984) Ribosomal DNA spacer—length polymorphism in barley: Mendelian inheritance, chromosomal location and population dynamics. Proc Natl Acad Sci (USA) 81:8014–8018

    Article  CAS  Google Scholar 

  18. Song QJ, Marek LF, Shoemaker RC, Lark KG, Concibido VC, Delannay X, Specht JE, Cregan PB (2004) A new integrated genetic linkage map of the soybean. Theor Appl Genet 109(1):122–128

    Article  CAS  PubMed  Google Scholar 

  19. Tomar J, Saini N, Goyal BS, Tripathi N, Shrivastava AN, Verma RK, Tiwari S (2011) Assessment of genetic diversity among Rhizoctonia root rot resistant soybean. J Food Leg 24:267–272

    Google Scholar 

  20. Torres AR, Grunvald AK, Martins TB, Santos MAD, Lemos NG, Silva LAS, Hungria M (2015) Genetic structure and diversity of a soybean germplasm considering biological nitrogen fixation and protein content. Sci Agric 7:47–52

    Article  Google Scholar 

  21. Velusamy V, Lee KJ, Ha BK, Kim JB, Kim SH, Ahn JW, Kang SY, Kim DS (2013) Evaluation of genetic diversity in Korean soybean landraces by protein banding patterns using high-throughput screening. J Crop Sci Biotechnol 16:189–195

    Article  Google Scholar 

  22. Vieira ESN, Schuster I, Silva RB, Oliveira MAR (2009) Variabilidade genética em cultivares de soja determinada com marcadores microssatélites em gel de agarose. Pesq Agropec Bras 44:1460–1466

    Article  Google Scholar 

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Acknowledgements

Research was conducted in “Technical Cooperation Project for Maximization of Soybean Production in Madhya Pradesh” supported by Japan International Cooperation Agency (JICA), Japan.

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Correspondence to Sharad Tiwari.

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Tiwari, S., Tripathi, N., Tsuji, K. et al. Genetic diversity and population structure of Indian soybean (Glycine max (L.) Merr.) as revealed by microsatellite markers. Physiol Mol Biol Plants 25, 953–964 (2019). https://doi.org/10.1007/s12298-019-00682-4

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Keywords

  • Genetic diversity
  • Microsatellites
  • Soybean
  • Polymorphism
  • Population structure