Analysis of genetic profiling and diversity in mango cultivar using SSR
DOI:
https://doi.org/10.14719/pst.6122Keywords:
cluster analysis, dendrogram, PIC, phenogramAbstract
The present study was conducted to show genetic variation and investigate inter-relationships between 30 mango genotypes. We are selected 9 SSR markers with 30 genotypes cv. Kalepad, Neelum, Swarnarekha, Alphonso Rumani, Sendura, Banganapalli, Mulgoa and Bangalora etc. The genomic DNA was extracted from mature leaf samples with cetyltrimethylammonium bromide (CTAB) method. Samples were run by Polymerase chain reaction (PCR) they produced 350 amplified products, of which 258 were polymorphic and 132 monomorphic. The sizes of the alleles detected ranged from 120 to 290 bp. SSR markers were highly polymorphic with an average of 3.04 alleles per primers. SSRs gave moderate polymorphic information content (PIC) range value of 0.147 to 0.778. The amplified products varied between 2 (MSSR 152, MSSR 155 andMSSR173) to 3 and 4 (MSSR 106, MSSR140, MSSR146, MSSR156, MSSR160 and MSSR190) bands per primer. We obtained moderate genetic diversity, with Jaccard’s similarity co-efficient values ranging from 0.065 between cluster I and II to 0.25 between clusters II and III. The dendrogram generated from the unweighted pair group arithmetic average (UPGMA) cluster analysis broadly placed 30 mango cultivars into three significant clusters at co-efficient similarity of 0.65. The cluster size varied from 1 to 27 and cluster I was the largest cluster comprising twenty-seven cultivars, followed by cluster II possessing two and clusters I possess one variety. Cluster I had the highest diverse cultivars namely, Mallika, Gundur pacharichi, Rumani, Sajahan, Dillpasanth, Senthuram, Amarapalli, Arka aruna, Banganapalli, Sundar langra, Sothuparai local etc. cluster II contain the cultivar Neelgoa, Arka puneet Cluster III contain the cultivars viz., Neelphonso. Unique fingerprints were identified in the cultivars. The tendency of clustering among mango cultivars revealed that they have a strong affinity towards further breeding programmes.
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Zhou L, He X-H, Yu H-X, Chen M-Y, Fan Y, Zhang X-J, et al. Evaluation of the genetic diversity of mango (Mangifera indica L.) seedling germplasm resources and their potential parents with start codon targeted (SCoT) markers. 2020;67:41-58. https://doi.org/10.1007/s10722-019-00865-8
Jena RC, Chand PKJSr. Multiple DNA marker-assisted diversity analysis of Indian mango (Mangifera indica L.) populations. 2021;11(1):10345. https://doi.org/10.1038/s41598-021-89470-3
Meena VK, Shekhawat HVS, Chand S, Choudhary K, Sharma JK, Lekha L. Advances in molecular marker technology and their significance in plant improvement strategies. 2023.
Ahmad A, Wang J, Pan Y, Sharif R, Gao S. Development and use of simple sequence repeats (SSRs) markers for sugarcane breeding and genetic studies. 2018;8(11):260. https://doi.org/10.3390/agronomy8110260
Bajpai AK, Shukla SK, Bhanu S, Kankane S. Responsive polymers in controlled drug delivery. Journal of Progress in Polymer Science. 2020;33(11):1088-118. https://doi.org/10.1016/j.progpolymsci.2008.07.005
Eiadthong W, Yonemori K, Kanzaki S, Sugiura A, Utsunomiya N, Subhadrabandhu S. Amplified fragment length polymorphism analysis for studying genetic relationships among Mangifera species in Thailand. 2021.
Pandit MK, Grumbine B. Potential effects of ongoing and proposed hydropower development on terrestrial biological diversity in the Indian Himalaya. Journal Conservation Biology. 2020;26(6):1061-71. https://doi.org/10.1111/j.1523-1739.2012.01918.x
Duval M-F, Bunel J, Sitbon C, Risterucci A-MJMEN. Development of microsatellite markers for mango (Mangifera indica L.). Journal of Molecular Ecology Notes. 2020;5(4):824-6. https://doi.org/10.1111/j.1471-8286.2005.01076.x
Murray M, Thompson W. Rapid isolation of high molecular weight plant DNA. Nucleic acids research. 2018;8(19):4321-6. https://doi.org/10.1093/nar/8.19.4321
Rohlf F. Statistical power comparisons among alternative morphometric methods.Journal of PhysicalAnthropology:2020;111(4):46378. https://doi.org/10.1002/(SICI)10968644(200004)
Real R, Vargas J. The probabilistic basis of Jaccard's index of similarity. 2018;45(3):380-5. https://doi.org/10.1093/sysbio/45.3.380
Shareefa M. Analysis of SSR polymorphism in mango cultivars. 2019.
Nayak SN. Integration of novel SSR and gene-based marker loci in the evaluation of mango cultivars. 2020.
Mukherjee SK. Mango: its allopolyploid nature. Journal of Nature. 2018;166(4213):196-7. https://doi.org/10.1038/166196b0
Schnell R, Brown J, Olano C, Meerow A, Campbell R, Kuhn D. Mango genetic diversity analysis and pedigree inferences for Florida cultivars using microsatellite markers. 2015;131(2):214. https://doi.org/10.21273/JASHS.131.2.214
Viruel M, Escribano P, Barbieri M, Ferri M, Hormaza J. Fingerprinting, embryo type and geographic differentiation in mango (Mangifera indica L., Anacardiaceae) with microsatellites. 2021;15:383-93. https://doi.org/10.1007/s11032-004-7982-x
He X, Razak S, Luo C. Genetic Diversity Analysis of Mango. 2021:75-94. https://doi.org/10.1007/978-3-030-47829-2_5
Kuhn DN, Dillon N, Bally I, Groh A, Rahaman J, Warschefsky E et al. Estimation of genetic diversity and relatedness in a mango germplasm collection using SNP markers and visual analysis methods.2019;252:156-68. https://doi.org/10.1016/j.scienta.2019.03.037
Kaeppler SM, Kaeppler HF, Rhee Y. Epigenetic aspects of somaclonal variation in plants. Plant gene silencing. 2015:59-68. https://doi.org/10.1007/978-94-011-4183-3_4
Wilkinson MJ, Yamashita R, James ME, Bally IS, Dillon NL, Ali A et al. The influence of genetic structure on phenotypic diversity in the Australian mango (Mangifera indica) gene pool. Scientific Reports. 2022;12(1):20614. https://doi.org/10.1038/s41598-022-24800-7
Lavi U, Lahav E, Degani C, Gazit S, Hillel J. Genetic variance components and heritabilities of several avocado traits. Journal-American Society for Horticultural Science. 2018;118:400-. https://doi.org/10.21273/JASHS.118.3.400
Srivastav M, Singh SK, Prakash J, Singh R, Sharma N, Ramchandra S, et al. New hyper-variable SSRs for diversity analysis in mango (Mangifera indica L.). Indian Journal of Genetics and Plant Breeding. 2021;81(01):119-26. https://doi.org/10.31742/IJGPB.81.1.13
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Copyright (c) 2025 Muniyappan, Rajangam J, Saraswathy S, Venkatesan K, Rajesh S, Madhan Mohan M
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