Genetic Diversity Assessment Among Early Generation  Sugarcane (Sacccharum Officinarum L.) Clones Through  Microsatellite Markers

Rashmi Bisht; A S  Jeena; M R Meena; Deepak Koujalagi; S P Singh; K A  Khan

doi:10.48165/

Authors

Rashmi Bisht Department of Genetics & Plant Breeding, G.B. Pant University of Agriculture and Technology, Pantnagar – 263 145, Uttarakhand (India)
A S Jeena Department of Genetics & Plant Breeding, G.B. Pant University of Agriculture and Technology, Pantnagar – 263 145, Uttarakhand (India)
M R Meena Scientist (Plant Breeding), ICAR-SBIRC, Karnal - 132 001, Haryana (India)
Deepak Koujalagi Department of Genetics & Plant Breeding, G.B. Pant University of Agriculture and Technology, Pantnagar – 263 145, Uttarakhand (India)
S P Singh Department of Genetics & Plant Breeding, G.B. Pant University of Agriculture and Technology, Pantnagar – 263 145, Uttarakhand (India)
K A Khan Department of Genetics & Plant Breeding, G.B. Pant University of Agriculture and Technology, Pantnagar – 263 145, Uttarakhand (India)

DOI:

https://doi.org/10.48165/

Keywords:

Genetic diversity, simple sequence repeat, polymorphism, saccharum, sugarcane

Abstract

The present study was aimed to characterize the early generation sugarcane (Saccharum officinarum) clones. Thirty-four sugarcane genotypes from different cross combinations representing six bi parental crosses, twenty-four general crosses, three poly-crosses and one-selfed were planted along with two checks. A total of 20 SSR markers were used to assess the gen etic diversity of which 93.5% were polymorphic. Polymorphic information content was used to determine allele diversity at each locus ranged from 0.141 (SOMS118) to 0.314 (UGSM585). The average expected gene diversity ranged from 0.105 (SOMS120) to 0.396 (UGSM-585). Genetic similarity based by Jaccard’s similarity coefficient ranged from 0.419 to 0.96. Dendrogram constructed using UPGMA cluster analysis revealed two distinct groups among S. officinarum species clones and two commercial checks and ordered the populations of 36 genotypes into five clusters with varying number of members proved SSR marker to be an effective tool for assessing genetic diversity among sugarcane clones.

Downloads

Download data is not yet available.

References

Afghan, S., Haider, M.S., Shah, A.H., Rashid, N., Iqbal, J., Tahir, M. and Akhtar, M. 2005. Detection of genetic diversity among sugarcane genotypes using RAPD markers. Sugarcane International, 23(6): 15-19.

Aitken, K.S., Jackson, P.A. and McIntyre, C.L. 2005. A combination of AFLP and SSR markers provides extensive map coverage and identification of homologous linkage groups in a sugarcane cultivar. Theory of Applied Genetics, 110: 789-801.

Ali, M.A., Seyal, M.T., Awan, S.I., Niaz, S., Ali, S. and Abbas, A. 2008. Hybrid authentication in uplandcotton through RAPD analysis. Australian Journal of Crop Sciences, 2(3): 141-149. Cordeiro, G.M., Taylor, G.O. and Henry, R.J. 2000. Characterization of microsatellite markers from sugarcane (Saccharum sp.), a highly polyploidy species. Plant Sciences, 155: 161-168. Dayanandan, S., Rajora, O.P. and Bawa, K.S. 1998. Isolation and characterization of microsatellites in trembling aspen (Populus tremuloides). Theory of Applied Genetics, 96: 950-956. Devey, M.E., Bell, J.C., Smith, D.N. and Neale, D.B. 1996. A genetic linkage map for Pinus radiata based on RFLP, RAPD, and microsatellite markers. Theory of Applied Genetics, 92: 673-679.

Doyle, J.J. and Doyle, J.L. 1990. Isolation of plant DNA from fresh tissues. Focus, 12: 13-15. Filho, L.S.C.D., Silva, P.P., Santos, J.M., Barbosa, G.V.S., Ramalho-Neto, C.E., Soares, L., Andrade, J.C.F. and Almeida, C. 2010. Genetic similarity among genotypes of sugarcane estimated by SSR and coefficient of parentage. Sugar Tech, 12(2): 145-149. Hemprabha, G., Govindaraj, P., Balasundaram, N. and Singh, N.K. 2005. Genetic diversity analysis of Indian sugarcane breeding pool based on sugarcane specific STMS markers. Sugar Tech, 7(2&3): 9-14.

J. Kang, S.A., Noor, M., Khan, F.A. and Saeed, F. 2013. Divergence analysis and association of some economical characters of sugarcane (Saccharum Officinarum L.). Plant Breeding & Genetics. 1: 1-6.

Koujalagi, D., Jeena, A.S., Singh, S.P., Chourasia, K.N. and Khan, K.A. 2017. Hybridity tests to identify true hybrids in sugarcane. Journal of Hill Agriculture, 8: 10-16. DOI 10.5958/2230- 7338.2017.00017.9

Lima, M.L.A., Garcia, A.A.F., Olivira, K.M., Matsuoka, S., Arizono, H., Suza, C.L. and Suza, A.P. 2002. Analysis of genetic similarity detected by AFLP and coefficient of parentage among genotype of sugarcane (Saccharum spp.). Theory of Applied Genetics, 104: 30-38.

McIntyre, L., Aitken, K., Berding, N., Casu, R., Drenth, J., Jackson, P., Jordan, D., Piperidis, G., Reffay, N., Smith, G., Tao, Y. and Whan, V. 2001. Identification of DNA markers linked to agronomic traits in sugarcane in Australia. pp. 560-562. In: International Society of Sugar Cane Technologists. Proceedings of the XXIV Congress. 17-21 September, 2001. Australian Society of Sugar Cane Technologists, Brisbane, Australia.

Genetic diversity in sugarcane clones through microsatellite markers 323

Melchinger, A.E., Kuntze, L., Gumber, R.K., Lubberstedt, T. and Fuchs, E. 1998. Genetic basis of resistance to sSugarcane mosaic virus in European maize germplasm. Theory of Applied Genetics, 96: 1151-1161.

Mittal, N. and Dubey, A.K. 2009. A new practice of DNA based markers in molecular genetics. Pharmacognosy Review, 3: 235-246.

Mondal, S., Sutar, S.R. and Badigannavar, A.M. 2009. Assessment of genetic diversity in cultivated groundnut (Arachis hypogaea L.) with differential responses to rust and late leaf spot using ISSR markers. Journal of Genetics and Plant Breeding, 63: 219-224.

Paglia, G.P., Olivieri, A.M. and Morgante, M. 1998. Towards second-generation STS (sequence tagged sites) linkage maps in conifers: A genetic map of Norway spruce (Picea abies K.). Molecular and General Genetics, 258: 466-478.

Pan, Y.B., Burner, D.M., Legendre, M.P., Grisham. and White, W.H. 2004. An assessment of genetic diversity within a collection of Saccharum spontaneum L. with RAPD-PCR. Genetic Resources and Crop Evolution, 51: 895-903.

Rohlf, F.J. 2000. NTSYSpc Numerical Taxonomy and Multivariate Analysis System. Exeter Software, New York, USA. (http://www.exetersoftware.com/downloads/ntsysguide21.pdf). Selvi, A., Nair, N.V., Balasundaram, N. and Mohapatra, T. 2003. Evaluation of maize micro satellite markers for genetic for genetic diversity analysis and fingerprinting in sugarcane. Genome,46: 394-403.

Singh, P.K., Kumar, S. and Singh, J. 2004. Genetic divergence in Saccharum spp. germplasm under sub-tropics. Indian Sugar, 53: 903-906.

Singh, P.K., Srivastava, S., Gupta, P.S., Singh, J., Jain, R. and Lal, P. 2008. Identification of genetically diverse Saccharum spontaneum genotypes from India using SSR-SSCP and RAPD markers. pp. 273–277. In: Meeting the Challenging of Sugar Crop and Integrated Industries in Developing Countries. International Association of Professionals in Sugar and Integrated Technologies, Egypt.

Singh, R.K., Mishra, S.K., Singh, S.P., Mishra, N. and Sharma, M.L. 2010. Evaluation of microsatellite markers for genetic diversity analysis among sugarcane species and commercial hybrids. Australian Journal of Crop Science, 4: 116-125.

Smiullah, Khan, F.A., Afzal, A., Abdullah., Ijaz, A. and Ijaz, U. 2013. Diversity analysis of sugarcane genotypes by microsatellite (SSR) markers. International Journal for Biotechnology and Molecular Biology Research, 4(7): 105-110.

Van, D.,Ven, W.T.G. and Mc Nicol, R.J. 1996. Microsatellites as DNA markers in Sitka spruce. Theory of Applied Genetics, 93: 613-617.

Weising, K., Winter, P., Huttle, P.B. and Kahl, G. 1997. Microsatellite markers for molecular breeding. Journal of Crop Production, 1: 113-143.