Abstract
Rice (Oryza sativa L.) is the most important food source for more than half of the world’s population, so determining the best hybrid line to produce hybrids with high grain yield and high cooking quality is important for proper crosses. In this study, 60 microsatellite markers were used in 63 rice genotypes of Central and West Asia to group rice cultivars. Based on data from 60 markers, it was observed that a total of 252 polymorphic alleles were amplified with an average of 4.2 alleles per primer. The mean number of effective alleles was 3.78 which RM490 and RM5423 markers had the lowest and the RM225 and RM246 markers had the highest value for this index. Nei gene diversity and amount of polymorphic information content showed that RM23 and RM212 markers had the highest value and the RM3 marker had the lowest value for these two indices. Genetic similarity and distance between populations revealed that the genetic distance between studied populations ranged from 0.147 to 0.54, indicating high variation among genotypes of these populations. The results showed that the highest genetic distance was between Iran and Uzbekistan and the least distance was between Iran and Afghanistan. The classification of genotypes was performed by cluster analysis. Genotypes were classified into 5 clusters using the Dice similarity coefficient and UPGMA method. Based on the results of cluster analysis and genetic distances, genotypes of Iran, Turkey, and Uzbekistan can be used for hybrid production to increase grain yield and quality.



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References
Agrama H, Tuinstra M (2003) Phylogenetic diversity and relationships among sorghum accessions using SSRs and RAPDs. Afr J Biotechnol 2:334–340
Choudhury B, Khan ML, Dayanandan S (2013) Genetic structure and diversity of indigenous rice (Oryza sativa) varieties in the Eastern Himalayan region of Northeast India. SpringerPlus 2:228
Cui Y et al (2019) Hybrid breeding of rice via genomic selection. Plant Biotechnol J 18:57–67
Dorreshteh A, Tarang A (2019) Evaluation of genetic diversity and genetic characteristics of some of Hashemi rice cultivars using morphological traits and microsatellite markers. J Crop Biotechnol 26:1–18
Eid M (2019) RAPD fingerprinting and genetic relationships of some wheat genotypes. Int J Genet Genom 7:1
Farahani S, Maleki M, Mehrabi R, Kanouni H, Scheben A, Batley J, Talebi R (2019) Whole genome diversity, population structure, and linkage disequilibrium analysis of chickpea (Cicer arietinum L.) genotypes using genome-wide DArTseq-based SNP markers. Genes 10:676
Ghneim Herrera T, Posso Duque D, Pérez Almeida I, Torrealba Núñez G, Pieters AJ, Martinez CP, Tohme JM (2008) Assessment of genetic diversity in Venezuelan rice cultivars using simple sequence repeats markers. Electron J Biotechnol 11:3–4
Hartl DL, Clark AG, Clark AG (1997) Principles of population genetics, vol 116. Sinauer Associates Sunderland, Sunderland
Heinemann AB, Ramirez-Villegas J, Rebolledo MC, Neto GMFC, Castro AP (2019) Upland rice breeding led to increased drought sensitivity in Brazil. Field Crops Res 231:57–67
Ibraheem F, El-Ghareeb EM (2019) Assessment of natural variability in leaf morphological and physiological traits in maize inbreds and their related hybrids during early vegetative growth. Egypt J Basic Appl Sci 6:25–45
Ivandic V, Hackett CA, Nevo E, Keith R, Thomas WT, Forster BP (2002) Analysis of simple sequence repeats (SSRs) in wild barley from the Fertile Crescent: associations with ecology, geography and flowering time. Plant Mol Biol 48:511–527
Jain R et al (2019) Genome sequence of the model rice variety KitaakeX. BMC Genom 20:905
Khalequzzaman M, Islam M, Siddique M, Prince M, Rashid E, Ahamed M (2017) Genetic diversity inaus rice landraces of Bangladesh using SSR markers. Bangladesh J Plant Breed Genet 30:11–20
Kibria K, Nur F, Begum S, Islam M, Paul S, Rahman K, Azam S (2009) Molecular marker based genetic diversity analysis in aromatic rice genotypes using SSR and RAPD markers. Int J Sustain Crop Prod 4:23–34
Kordrostami M, Rahimi M (2015) Molecular markers in plants: concepts and applications. Genet 3rd Millen 13:4024–4031
Kumar R, Singh AK (2012) Evaluation of genetic diversity in rice using simple sequence repeats (SSR) markers. Afr J Biotechnol 11:14988–14995
Lapitan VC, Brar DS, Abe T, Redoña ED (2007) Assessment of genetic diversity of Philippine rice cultivars carrying good quality traits using SSR markers. Breed Sci 57:263–270
Luo X, Tan Y, Ma C, Tu J, Shen J, Yi B, Fu T (2019) High-throughput identification of SNPs reveals extensive heterosis with intra-group hybridization and genetic characteristics in a large rapeseed (Brassica napus L.) panel. Euphytica 215:157
Mardani S, Tabatabaei SH, Pessarakli M, Zareabyaneh H (2017) Physiological responses of pepper plant (Capsicum annuum L.) to drought stress. J Plant Nutr 40:1453–1464
McCouch SR et al (2002) Development and mapping of 2240 new SSR markers for rice (Oryza sativa L). DNA Res 9:199–207
Muralidharan K, Prasad G, Rao C, Siddiq E (2019) Genetic gain for yield in rice breeding and rice production in India to meet with the demand from increased human population. Curr Sci 116:544–560
Nei M (1978) Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89:583–590
Nili A, Rabiei B, Allahgholipour M, Ebadi AA (2017) Assessing molecular diversity and genetic relationships among rice (Oryza sativa L.) varieties. Cereal Res 7:33–50. https://doi.org/10.22124/c.2017.2427
Okada T, Whitford R (2019) Hybrid wheat and abiotic stress. In: Rajpal V, Sehgal D, Kumar A, Raina S (eds) Genomics assisted breeding of crops for abiotic stress tolerance, vol II. Springer, pp 211–224
Onaga G, Egdane J, Edema R, Abdelbagi I (2013) Morphological and genetic diversity analysis of rice accessions (Oryza sativa L.) differing in iron toxicity tolerance. J Crop Sci Biotechnol 16:53–62
Panaud O, Chen X, McCouch SR (1996) Development of microsatellite markers and characterization of simple sequence length polymorphism (SSLP) in rice (Oryza sativa L.). Mol Gen Genet 252:597–607
Rabbani MA, Masood MS, Shinwari ZK, Shinozaki K (2010) Genetic analysis of basmati and non-basmati Pakistani rice (Oryza sativa L.) cultivars using microsatellite markers. Pak J Bot 42:2551–2564
Rezadoost MH, Kordrostami M, Kumleh HH (2016) An efficient protocol for isolation of inhibitor-free nucleic acids even from recalcitrant plants. 3 Biotech 6:61
Ribaut J-M, Ragot M (2019) Modernising breeding for orphan crops: tools, methodologies, and beyond. Planta 250:971–977
Sajib AM, Hossain M, Mosnaz A, Hossain H, Islam M, Ali M, Prodhan SH (2012) SSR marker-based molecular characterization and genetic diversity analysis of aromatic landreces of rice (Oryza sativa L.). J BioSci Biotechnol 1:107–116
Senior M, Murphy J, Goodman M, Stuber C (1998) Utility of SSRs for determining genetic similarities an relationships in maize using an agarose gel system. Crop Sci 38:1088–1098
Singh SK et al (2014) Genetic diversity in NPT Lines derived from indica 9 japonica sub-species crosses of Rice (Oryza sativa L.) using SSR Markers. Sch J Agric Sci 4:121–132
Singh BK et al (2015) Validation of molecular markers for marker-assisted pyramiding of white rust resistance loci in Indian Mustard (Brassica juncea L.). Can J Plant Sci 95:939–945
Singh N et al (2016) Genetic diversity trend in Indian rice varieties: an analysis using SSR markers. BMC Genet 17:127
Song L-y, Xue L, Chen W-g, Hao Z-f, Li B, Zhang D-g (2013) Genetic relationships among Chinese maize OPVs based on SSR markers. J Integr Agric 12:1130–1137
Stoskopf NC, Tomes DT, Christie BR, Christie BR (2019) Plant breeding: theory and practice. CRC Press, Boca Raton
Tait J, Barker G (2011) Global food security and the governance of modern biotechnologies. EMBO Rep 12:763–768
Tarang A, Gashti AB (2016) The power of microsatellite markers and AFLPs in revealing the genetic diversity of Hashemi aromatic rice from Iran. J integr Agric 15:1186–1197
Tarang A, Hosseini M (2017) Evaluation of molecular diversity of different Hashemi rice varieties of north of Iran using microsatellite markers. Cereal Res 7:17–31. https://doi.org/10.22124/c.2017.2426
Tiwari KK et al (2015) Identification of a diverse mini-core panel of I ndian rice germplasm based on genotyping using microsatellite markers. Plant Breed 134:164–171
Villano C, Esposito S, Carucci F, Iorizzo M, Frusciante L, Carputo D, Aversano R (2019) High-throughput genotyping in onion reveals structure of genetic diversity and informative SNPs useful for molecular breeding. Mol Breed 39:5
Violita V (2019) Morphological indices of drought tolerant of some paddy varieties (Oryza sativa L.) in West Sumatera using standard evaluation system (SES) for rice. Bioscience 3:60–68
Zeng L, Kwon T-R, Liu X, Wilson C, Grieve CM, Gregorio GB (2004) Genetic diversity analyzed by microsatellite markers among rice (Oryza sativa L.) genotypes with different adaptations to saline soils. Plant Sci 166:1275–1285
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Tarang, A., Kordrostami, M., Shahdi Kumleh, A. et al. Study of genetic diversity in rice (Oryza sativa L.) cultivars of Central and Western Asia using microsatellite markers tightly linked to important quality and yield related traits. Genet Resour Crop Evol 67, 1537–1550 (2020). https://doi.org/10.1007/s10722-020-00927-2
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DOI: https://doi.org/10.1007/s10722-020-00927-2


