Abstract
Simple sequence repeat (SSR) markers can serve as an important tool for characterization and genetic diversity evaluation in Indian mustard germplasm and varieties. For DNA fingerprinting of various Indian mustard varieties, it is necessary that a common set of SSRs be used by various laboratories so that the developed genetic profiles of various genotypes can be compared with one another. In this study, we evaluated the polymorphic potential of 350 SSR markers to derive a set of SSR markers for characterization of Indian mustard germplasm and varieties. Out of a total of 350 SSR markers evaluated, 310 (88.57%) SSRs produced polymorphic amplicons, while remaining 40 (11.43%) SSRs resulted into monomorphic products. The allele number varied from 2 to 7 with 3.22 average number of alleles per locus. Polymorphism information content (PIC) value ranged from 0.24 (Ol09A01) to 0.75 (nia-m141a) with an average PIC value of 0.40 per locus. A total of 95 (31%) SSR markers evaluated were having PIC values more than the average PIC value, which constitute the representative set of SSR markers. Unweighted pair group method with arithmetic averages (UPGMA)-dendrogram grouped all the 46 genotypes into two main clusters, while STRUCTURE analysis formed three subpopulations having admixture of alleles. This SSR marker set will facilitate systematic characterization and classification of various Indian mustard germplasm accessions and varieties.
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Abbreviations
- SSR:
-
Simple sequence repeat
- ISSR:
-
Inter simple sequence repeat
- RAPD:
-
Random amplified polymorphic DNA
- RFLP:
-
Restriction fragment length polymorphism
- AFLP:
-
Amplified fragment length polymorphism
- PIC:
-
Polymorphic information content
- UPGMA:
-
Unweighted pair group method with arithmetic averages
References
Botstein D, White RL, Skolnick M, Davis RW (1980) Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am J Hum Genet 32:314–331
Cheng F, Wu J, Wang X (2014) Genome triplication drove the diversification of Brassica plants. Hort Res 1:14024. https://doi.org/10.1038/hortres.2014.2
Dettori MT, Micali S, Giovinazzi J, Scalabrin S, Verde I, Cipriani G (2015) Mining microsatellites in the peach genome: development of new long-core SSR markers for genetic analyses in five Prunus species. Springerplus 4:337. https://doi.org/10.1186/s40064-015-1098-0
Earldent A, Von Holdt Bridgett M (2012) STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Cons Genet Resour 4(359–361):224
Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software Structure: a simulation study. Mol Ecol 14:2611–2620
Govt. of India (2018) Agricultural statistics at a glance. Directorate of Economics and Statistics, Department of Agriculture and Cooperation, Ministry of Agriculture, Govt. of India, New Delhi. http://cands.daenet.nic.in/PDF
Li P, Su T, Wang H, Zhao X, Wang W, Yu Y, Zhang D, Wen C, Yu S, Zhang F (2019) Development of a core set of KASP markers for assaying genetic diversity in Brassica rapa subsp. chinensis Makino. Plant Breed 1:16. https://doi.org/10.1111/pbr.12686
Liu K, Muse M (2005) PowerMarker: an integrated analysis environment for genetic marker analysis. Bioinfo 21:2128–2129
Nagaharu U (1935) Genomic analysis in Brassica with special reference to the experimental formation of B. napus and peculiar mode of fertilization. Jpn J Bot 7:389–452
Nanjundan J, Singh K, Singh KH, Singh D (2014) Catalogue on rapeseed-mustard germplasm. Directorate of Rapeseed-Mustard Research, Bharatpur, Rajasthan, pp 180
Nanjundan J, Singh KH, Thakur AK, Meena KN, Singh D (2015) Development of core collection and trait-specific reference sets in Indian mustard [Brassica juncea (L.) Czern & Coss.] germplasm. Abstract 64, 14th International Rapeseed Congress, held during July 5–9, 2015, at Saskatoon, Saskatchewan, Canada
Nanjundan J, Thakur AK, Singh KH, Mishra DC, Singh K, Verma V (2015) Assessment of genetic diversity in Indian mustard [Brassica juncea (L.) Czern & Coss.] for high temperature tolerance using SSR markers. Vegetos 28(4):122–130
Nguyen NN, Kwon YS, Park JR, Sc S (2018) Development of a core set of SSR markers for cultivar identification and seed purity T tests in Oriental Melon (Cucumis melo L. var makuwa). Hort Sci Technol 37(1):119–129. https://doi.org/10.12972/kjhst.20190011
Peakall R, Smouse PE (2012) GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research-an update. Bioinformatics 28:2537–2539
Pratap P, Thakur AK, Meena PD, Meena HS, Sharma P, Singh D, Majumdar R (2015) Genetic diversity assessment in Indian mustard (Brassica juncea L.) for Alternaria blight tolerance using SSR markers. J Oilseed Brass 6(1):175–182
Pritchard JK, Wen W (2003) Documentation for the structure software, version 2. Department of Human Genetics, University of Chicago, Chicago. http://pritch.bsd.uchicago.edu/software
Singh BK, Choudhary SB, Yadav S, Malhotra EV, Rani R, Ambawat S, Priyamedha PA, Kumar R, Kumar S, Sharma SK, Singh DK, Rai PK (2018) Genetic structure identification and assessment of interrelationships between Brassica and allied genera using newly developed genic-SSRs of Indian Mustard (Brassica juncea L.). Ind Crops Prod 113:111–120
Singh BK, Mishra DC, Yadav S, Ambawat S, Vaidya E, Tribhuvan KU, Kumar A, Kumar S, Kumar S, Chaturvedi KK, Rani R, Yadav P, Rai A, Rai PK, Singh VV, Singh D (2016) Identification, characterization, validation and cross-species amplification of genic-SSRs in Indian mustard (Brassica juncea). J Plant Biochem Biotechnol 25:410. https://doi.org/10.1007/s13562-016-0353-y
Tamanna A, Khan AU (2005) Mapping and analysis of simple sequence repeats in the Arabidopsis thaliana genome. Bioinformation 1:64–68
Tanksley SD, McCouch SR (1997) Seed banks and molecular maps: unlocking genetic potential from the wild. Sci 277(5329):1063–1066
Thakur AK, Singh BK, Verma V, Chauhan JS (2013) Direct organogenesis in Brassica juncea var. NRCDR-2 and analysis of genetic uniformity using RAPD markers. Natl Acad Sci Lett 36:403–409
Thakur AK, Singh KH, Lal S, Nanjundan J, Yasin JK, Singh D (2018) SSR marker variations in Brassica species provide insight into the origin and evolution of Brassica amphidiploids. Hereditas 155:6
Thakur AK, Singh KH, Singh L, Nanjundan J, Rana MK, Singh D (2015) Transferability of SSR markers of Brassica species to some popular varieties of Brassica juncea. Proc Natl Acad Sci India Sect B Biol Sci 85(4):1001–1010
Tyagi R, Sharma V, Sureja AK, Munshi AD, Arya L, Saha D, Verma M (2020) Genetic diversity and population structure detection in sponge gourd (Luffa cylindrica) using ISSR, SCoT and morphological markers. Physiol Mol Biol Plants 26(1):119–131. https://doi.org/10.1007/s12298-019-00723-y
Vieira ML, Santini L, Diniz AL, Munhoz Cde F (2016) Microsatellite markers: what they mean and why they are so useful. Genet Mol Biol 39:312–328. https://doi.org/10.1590/1678-4685-GMB-2016-0027
Vinu V, Singh N, Vasudev S, Yadav DK, Kumar S, Naresh S, Bhat SR, Prabhu KV (2013) Assessment of genetic diversity in Brassica juncea (Brassicaceae) genotypes using phenotypic differences and SSR markers. Rev Biol Trop 61(4):1919–1934
Xu J, Qian X, Wang X, Li R, Cheng X, Yang Y, Fu J, Zhang S, King GJ, Wu J, Liu K (2010) Construction of an integrated genetic linkage map for the A genome of Brassica napus using SSR markers derived from sequenced BACs in B. rapa. BMC Genomics 11:594
Yadava DK, Parida SK, Dwivedi SK, Varshney A, Ghazi IA, Sujata V, Mohapatra T (2009) Cross- transferability and polymorphic potential of genomic STMS markers of Brassica species. J Plant Biochem Biotechnol 18(1):29–36
Yan L, Ogutu C, Huang L, Wang X, Zhou H, Lv Y, Long Y, Dong Y, Han Y (2019) Genetic diversity and population structure of coffee germplasm collections in China revealed by ISSR markers. Plant Mol Biol Rep 37:204–213. https://doi.org/10.1007/s11105-019-01148-3
Yang et al (2016) The genome sequence of allopolyploid Brassica juncea and analysis of differential homoeolog gene expression influencing selection. Nat Genet 48:1225. https://doi.org/10.1038/ng.3657
Yang J, Zhang J, Han R, Zhang F, Mao A, Luo J, Dong B, Liu H, Tang H, Zhang J, Wen C (2019) Target SSR-Seq: A novel SSR genotyping technology associated with perfect SSRs in genetic analysis of cucumber varieties. Front Plant Sci 10:531. https://doi.org/10.3389/fpls.2019.00531
Acknowledgements
Authors are thankful to the Science & Engineering Research Board (SERB), New Delhi for providing funding for this work.
Funding
Funds for this research work was provided under the ‘Start-up Research Grant No. SB/YS/LS-86/2014’ received by AKT from Science & Engineering Research Board (SERB), New Delhi.
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13562_2021_737_MOESM1_ESM.tif
Fig. S4 Principal co-ordinate analysis (PCoA) of 46 Indian mustard accessions base on selected 95 microsatellite loci (TIF 150 kb)
13562_2021_737_MOESM2_ESM.tif
Fig. S1 UPGMA dendrogram depicting the genetic inter-relationship among different accessions of Indian mustard based on the allelic data of selected set of 95 SSR markers (TIF 148 kb)
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Fig. S2 Population genetic structure and relationships among 46 Indian mustard accessions based on the allelic data of selected set of 95 SSR markers. Values of delK with its modal value detecting a true K of three groups (K = 3) (TIF 106 kb)
13562_2021_737_MOESM4_ESM.tif
Fig.S3 The three subgroups inferred from the STRUCTURE analysis using the allelic data of selected 95 microsatellite loci (TIF 216 kb)
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Singh, L., Nanjundan, J., Singh, K.H. et al. Development of a set of SSR markers for characterization of Indian mustard germplasm and varieties. J. Plant Biochem. Biotechnol. 31, 581–591 (2022). https://doi.org/10.1007/s13562-021-00737-2
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DOI: https://doi.org/10.1007/s13562-021-00737-2