Molecular characterization of Kinnow mutants
280 / 152
Keywords:
AMOVA, EMS, Gamma irradiation, Induced mutants, Kinnow mandarin, SSRsAbstract
The present experiment was conducted during 2016-18 at Division of Fruits and Horticultural Technology, ICARIARI, New Delhi. A total of 40 Kinnow mutants and 1 wild type were selected for molecular characterization and diversity analyses. Thirty-four SSR markers were screened for polymorphism, of which only 2 were found informative. Twelve alleles were detected among 2 SSRs with an average of 6 alleles per locus and the highest number of alleles (7) was recorded in SSR locus AMB2. The average diversity indices of SSR, viz. allele frequency, gene diversity, observed heterozygosity and PIC were 0.415, 0.672, 0.415 and 0.611 respectively. The N-J tree was constructed based on the 2 SSRs data which clustered the mutants into 2 major groups. Subsequently, clusters were simplified into 6 clades which distinguished gamma-irradiated and EMS derived mutants and results were reconfirmed through principal coordinate analysis (PCoA). First three axes of PCoA contributed 80.88% of the cumulative variation among the Kinnow mutants. The analysis of molecular variance (AMOVA) explained 42% variation among the populations, 48 and 10% variation within and among the individuals respectively. The present investigation genetically characterized the Kinnow mutants and deciphered the genetic diversity among them. Thus, the variability generated through induced mutagenesis could be used as valuable genetic material for Kinnow improvement.Downloads
References
Altaf S, Khan M M, Jaskani M J, Khan I A, Usman M, Sadia B, Awan F S, Ali A and Khan A I. 2014. Morphogenetic characterization of seeded and seedless varieties of Kinnow Mandarin ('Citrus reticulata' Blanco). Australian Journal of Crop Science 8(11): 1542–49.
Barkley N A, Roose M L, Krueger R R and Federici C T. 2006. Assessing genetic diversity and population structure in a citrus germplasm collection utilizing simple sequence repeat markers (SSRs). Theoretical and Applied Genetics 112(8): 1519–31. DOI: https://doi.org/10.1007/s00122-006-0255-9
Corazza-Nunes M J, Machado M A, Nunes W M C, Cristofani M and Targon M L P N. 2002. Assessment of genetic variability in grapefruits (Citrus paradisi Macf.) and pummelos (C. maxima (Burm.) Merr.) using RAPD and SSR markers. Euphytica 126(2): 169–76. DOI: https://doi.org/10.1023/A:1016332030738
Doyle J J and Doyle J L. 1990. Isolation of plant DNA from fresh tissue. Focus 12(13): 39–40.
Goldstein D B and Pollock D D. 1997. Launching microsatellites: a review of mutation processes and methods of phylogenetic inference. Journal of Heredity 88(5): 335–42. DOI: https://doi.org/10.1093/oxfordjournals.jhered.a023114
Gulsen O, Uzun A, Pala H, Canihos E and Kafa G. 2007. Development of seedless and Mal Secco tolerant mutant lemons through budwood irradiation. Scientia Horticulturae 112(2): 184–90. DOI: https://doi.org/10.1016/j.scienta.2006.12.040
Hvarleva T, Kapari-Isaia T, Papayiannis L, Atanassov A, Hadjinicoli A and Kyriakou A. 2008. Characterization of citrus cultivars and clones in Cyprus through microsatellite and RAPD analysis. Biotechnology and Biotechnological Equipment 22(3): 787–94. DOI: https://doi.org/10.1080/13102818.2008.10817554
Jannati M, Fotouhi R, Abad A P and Salehi Z. 2009. Genetic diversity analysis of Iranian citrus varieties using micro satellite (SSR) based markers. Journal of Horticulture and Forestry 1(7): 120–25.
Kumar S, Awasthi O P, Dubey A K, Pandey R, Sharma V K, Mishra A K and Sharma R M. 2018. Root morphology and the effect of rootstocks on leaf nutrient acquisition of Kinnow mandarin (Citrus nobilis Loureiro × Citrus reticulata Blanco). Journal of Horticultural Science and Biotechnology 93(1): 100–06. DOI: https://doi.org/10.1080/14620316.2017.1345333
Levinson G and Gutman G A. 1987. Slipped-strand mispairing: a major mechanism for DNA sequence evolution. Molecular Biology and Evolution 4(3): 203–21.
Liu K and Muse S V. 2005. Power Marker: an integrated analysis environment for genetic marker analysis. Bioinformatics 21(9): 2128–29. DOI: https://doi.org/10.1093/bioinformatics/bti282
Mallick M, Bharadwaj C, Srivastav, M, Sharma N and Awasthi O P. 2017. Molecular characterization of Kinnow mandarin clones and mutants using cross genera SSR markers. Indian Journal of Biotechnology 16(2): 244–49.
Nei M. 1972. Genetic distance between populations. American Naturalist 106(949): 283–92. DOI: https://doi.org/10.1086/282771
Ollitrault F, Terol J, Pina J A, Navarro L, Talon M and Ollitrault P. 2010. Development of SSR markers from Citrus clementine (Rutaceae) BAC end sequences and interspecific transferability in Citrus. American Journal of Botany 97(11): e124–29. DOI: https://doi.org/10.3732/ajb.1000280
Peakall R O D and Smouse P E. 2006. GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6(1): 288–95. DOI: https://doi.org/10.1111/j.1471-8286.2005.01155.x
Polat I, Kacar Y A, Yesiloglu T, Uzun A, Tuzcu O, Gulsen O, Incesu M, Kafa G, Turgutoglu E and Anil S. 2012. Molecular characterization of sour orange (Citrus aurantium) accessions and their relatives using SSR and SRAP markers. Genetics and Molecular Research 11(3): 3267–76. DOI: https://doi.org/10.4238/2012.September.12.10
Singh G, Aulakh P S, Sarao N K and G S. 2016. Genetic diversity and DNA fingerprinting of indigenous and exotic mandarin genotypes in India using SSR markers. Australian Journal of Crop Science 10(1): 24–31.
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2021 The Indian Journal of Agricultural Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The copyright of the articles published in The Indian Journal of Agricultural Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.