Banner
Submit

Full Research Article

Bhartiya Krishi Anusandhan Patrika, volume 37 issue 1 (march 2022) : 43-49

Characterization of Annona Genotypes by ISSR and SSR Markers

Y.S. Saitwal, A.M. Musmade, A.A. Kale, V.S. Supe, V.R. Joshi, S.A. Ranpise, S.S. Mehetre
1Department of Horticulture, Mahatma Phule Krishi Vidyapeeth, Rahuri-413 722, Maharashtra, India.

  • Submitted15-03-2022|

  • Accepted04-05-2022|

  • First Online 16-05-2022|

  • doi 10.18805/BKAP494

Cite article:- Saitwal Y.S., Musmade A.M., Kale A.A., Supe V.S., Joshi V.R., Ranpise S.A., Mehetre S.S. (2022). Characterization of Annona Genotypes by ISSR and SSR Markers. Bhartiya Krishi Anusandhan Patrika. 37(1): 43-49. doi: 10.18805/BKAP494.

ABSTRACT

Background: Annona spp. are one of the underutilized fruit crop having great commercial and medicinal value and large diversity present in Maharashtra which is untapped. The present study conducted to characterize the Annona genotypes by ISSR and SSR markers for future germplasm conservation and crop improvement programme. 
Methods: Ninety genotypes were collected from various regions of Maharashtra. These ninety genotypes and eleven varieties from All India Coordinated Research Project on Arid Zone Fruits, MPKV, Rahuri were screened for morphological and biochemical characters. After morphological and biochemical characterization twenty-two superior genotypes were characterized using ISSR and SSR markers. 
Result: Among the 29 ISSR primers used, 20 were found polymorphic which produced a total of 171 reproducible amplicons, in which 109 amplicons (75.43%) were polymorphic. In 20 SSR primers used, 14 primers were found polymorphic which produced a total of 43 reproducible amplicons, in which 36 amplicons (83.72%) were polymorphic. Twenty unique amplicons produced by ISSR primer and eight unique amplicons produced by SSR in studied genotypes is useful in genotype/variety identification in future crop improvement. The dendogram generated based on UPGMA method of cluster analysis using ISSR and SSR marker data revealed little different but similar grouping of genotypes into two major clusters viz., cluster A and cluster B. The UPGMA based cluster analysis using dice similarity coefficient grouped Annona genotypes into two major clusters which differentiate squamosa and atemoya species. The distribution of the genotypes in the dendogram was mostly consistent with the known pedigree information, geographical locations and the morphological attributes. Genotypes collected from Purandar, Sawargaon, Pemgiri and Ajanta districts of Maharashtra formed cluster as per geographic collection. The close relationship across genotypes might be explained by either historical relationship to sharing common ancestor or more likely geographical proximity and large population size which favour genetic interchange. This low genetic difference among genotypes suggests that there was more gene flow through random mating without barrier within agro-ecological zones. ISSR and SSR markers gives direction in characterization of Annona genotypes but more areas need to be survey and explore for tapping genetic diversity to widen the gene pool. The screened material found superior need to be prioritized in terms of in-situ and ex-situ conservation for further evaluation and crop improvement.

REFERENCES


  1. Ahmad, I., Bhagat, S., Sharma, T.V.R.S., Kumar, K. and Simachalam, P. (2010). ISSR and RAPD marker based DNA fingerprinting and diversity assessment of Annona spp. in South Andaman. Indian J. Hort. 67(2): 147-151.

  2. Bharad, S.G., Kulwal, P.L., Bagal, S.A. (2009). Genetic diversity study in A. squamosa by morphological, biochemical and RAPD markers. Acta Hort. 839: 615-623. 

  3. Boake, A.A., Faustina, D., Jacob, K., Ibok, O. (2014). Dietary fibre, ascorbic acid and proximate composition of tropical underutilized fruits. Afr. J. Food Sci. 8: 305-310.

  4. Cota, L.G., Vieira, F.A, Melo, Junior, A.F., Brandão, M.M., Santana, K.N.O., Guedes, M.L. and Oliveira, D.A. (2011). Genetic diversity of Annona crassiflora (Annonaceae) in northern Minas Gerais State. Genet. Mol. Res. 10 (3): 2172-2180.

  5. Escribano, P., Viruel, M.A. and Hormaza, J.I. (2007). Molecular analysis of genetic diversity and geographic origin within an ex situ germplasm collection of cherimoya by using SSRs. J. Amer. Soc. Hort. Sci. 132(3): 357-367.

  6. Escribano, P., Viruel, M.A. and Hormaza, J.I. (2009). Establishment of a core collection to optimize the conservation of cherimoya (Annona cherimola Mill.) genetic resources using SSR information. Acta Hort. 814: 67-70.

  7. Geurts, F. (1981). Annonaceous Fruits. Royal Tropical Institute, Amsterdam, the Netherlands., 16 pp.

  8. Jaccard, P. (1908). Nouvelles researches sur la distribution florale. Bulletin de la Société Vaudoise Des Sciences Naturelles. 44: 223-270.

  9. Kavya*, K., Shyamalamma, S. and Gayatri, S. (2019). Morphological and molecular genetic diversity analysis using SSR markers in Jackfruit (Artocarpus heterophyllus Lam.) genotypes for pulp colour. Indian J. Agric. Res. 53(1): 8-16.

  10. Kulkarni, S., Joshi, S., Kamthe, P., Tekale, P. (2013). Proximate analysis of peel and seed of Annona squamosa (Custard apple) fruit. Res. J. Chem. Sci. 3: 92-94. 

  11. Kwapata, K., Mwase, W.F., Bokosi, J.M., Kwapata, M.B. and Munyenyembe, P. (2007). Genetic diversity of Annona senegalensis Pers. populations as revealed by simple sequence repeats (SSRs). Afr. J. Biotechl. 6(10): 1239-1247.

  12. Nei, M., Li, W.H. (1979). Mathematical model for studying genetic variation in terms of restriction endonucleases, Proceeding of National Academy of Sciences. U.S.A. 76: 5269-5273.

  13. Pomper, K.W., Jeremiah, D., Lowe, Li Lu, Sheri, Crabtree, B. and Shandeep, D. (2010). Characterization and Identification of Pawpaw cultivars and advanced selections by simple sequence repeat markers. J. Amer. Soc. Hort. Sci. 135 (2): 143-149.

  14. Pomper, K.W., Jeremiah, D., Lowe, Li Lu, Sheri, Crabtree, B. and Kochnar, T.S. (2011). Assessment of the utility of ISSR markers for evaluating genetic relationships among members of Assimina and Annona. Land Grant Programme, Kenttucky State University, FL-33435.

  15. Popenoe, J. (1974). Status of Annona Culture in South Florida. proc. Florida State Hort. Soc. 87: 342-344.

  16. Rohalf, F.J. (1998). NTSYSpc. Numerical Taxonomy and Multivariate Analyses, Version 2.02i. Exeter Software, New York, N.Y.

  17. Sadaphal, S.V. (2009). Assessment of molecular diversity in custard apple (Annona squamosa). M.Sc. (Agri.) thesis, Mahatma Phule Krishi Vidyapeeth, Rahuri, (Maharashtra), India.

  18. Saitwal, Y.S, Musmade, A.M., Supe, V.S., Joshi, V.R. and Nimbalkar, C.A. (2015). Physiochemical profiling for selection of promising Annona genotypes. Indian J. Dryland Agric. Res. and Dev. 30(1): 89-93. 

  19. Wu, Y.C., Hung, Y.C., Chang F.R., Cosentino, M., Wang, H.K. and Lee, K.H. (1996). Identification of Ent-16, 17-dihydroxykauran -19-oic acid as anti-HIV principle and isolation of the new diterpeniods Annona squamosins A and B from Annona squamosa. Journal of Natural Products. 59(6): 635-637.

  20. Zhao Zhichang, Hu Guibing, Ouyang Ruo, Liu Yunchun, Chen Yeyuan and Luo Shirong. (2011). Studies of the genetic diversity of seven sweetsop (Annona squamosa L.) cultivars by amplified fragment length polymorphism analysis. Afr. J. of Biotechnol. 10(35): 6711-6715.
Reviewed By

Download Article
In this Article
    Contact us
    Follow us

    Editorial Board

    View all (0)