Abstract
Background
Characterization and evaluation of plant genetic resources play an important role for their utilization in the crop improvement programmes.
Methods and results
This study involves the agro-morphological and cooking quality besides, molecular characterization of 51 genotypes/advance breeding lines of rice from Kashmir Himalayas. Significant variability was observed for all agro-morphological and cooking quality traits among all the studied genotypes. Cluster analysis using UPGMA method divided the genotypes into two major clusters having 15 and 36 genotypes. Thirty eight genotypes screened using 24 SSR markers detected 48 alleles with 2.0 alleles for each locus with average polymorphism information content (PIC) of 0.37. High polymorphism information content (PIC) values was observed for the primers RM263 (0.67), RM159 (0.59) and RM333 (0.50). Furthermore, out of 38 SSR markers screened on 192 temperate rice germpalsm lines, R4M17 accurately differentiated indica and temperate japonica genotypes amplifying 220 bp and 169 bp, respectively. Accordingly, 15 genotypes were reported as indica and 28 temperate japonica in addition to 149 genotypes as intermediate types.
Conclusion
The information on marker-based diversity and performance based on cooking quality and agronomic traits helped to select the most divergent lines for crossing. Also the analysis was useful to classify the temperate germplasm into indica and temperate japonica. The classification could be helpful to devise a strategy for inter-sub species hybridization to breed for improved rice varieties.
Similar content being viewed by others
References
Lin MS (1991) Genetic base of japonica rice varieties released in Taiwan. Euphytica 56:43–46
Laxuman C, Salimath P, Varma M (2011) Molecular mapping and tagging of quantitative trait loci in rice-molecular breeding in rice. Lambert Academic Publishing GmbH & Co, Saarbrücken
Rafiq M, Najeeb S, Sheikh FA, Iqbal AM, Bhat ZA, Kashyp SC, Hussain A, Mujtaba A, Parray GA (2016) Farmers participatory varietal selection in japonica rice (Oryza sativa L.) in Kashmir valley. SABRAO J Breed Genet 48(2):200–209
Mandel JR, Dechaine JM, Marek LF, Burke JM (2011) Genetic diversity and population structure in cultivated sunflower and a comparison to its wild progenitor, Helianthus annuus L. Theor Appl Genet 123:693–704
Vung O, Lal CY, Rai PHC (2012) Studies on genetic diversity in rice (Oryza sativa L.). J Agric Technol 8:1059–1065
Bidhan R (2013) Genetic diversity in farmer’s varieties and some advance lines of aromatic rice (Oryza sativa L.) from West Banga. Indian J Plant Genet Resour 26(3):215–219
Nayak AR, Chaudhury D, Reddy JN (2004) Genetic divergence in scented rice. Oryza 41:79–82
Waza SA, Rastogi NK, Verulkar SB, Bano D (2013) Fingerprinting and purity testing of rice hybrids using microsatellite markers. Indian J Genet Plant Breed 73(4):443–445
Shikari AB, Najeeb S, Khan G, Mohiddin FA, Shah AH, Nehvi FA, Wani SA, Bhat NA, Waza SA, Subba Rao LV, Steele KA, Witcombe JR (2021) KASP™ based markers reveal a population sub-structure in temperate rice (Oryza sativa L.) germplasm and local landraces grown in the Kashmir valley, north-western Himalayas. Genet Resour Crop Evol 68:821–834
Chen X, Cho YG, Mc-Couch SR (2002) Sequence divergence of rice microsatellites in Oryza and other plant species. Mol Genet Genom 268:331–343
Najeeb RS, Ashaq H, Shikari AB, Sofi MD, Teli NA, Mohiddin FA, Bhat NA (2020) Rice crop in Kashmir valley: historical perspective, challenges and oppurtinities for sustainable production and livelihood improvement. SKUAST J Res 22(1):1–18
IRRI (International Rice Research Institute) (2015) Standard Evaluation System for rice (SES), 6th edn. International Rice Research Institute, Los Banos
Juliano BO (1971) A simplified assay of milled rice amylase. Cereal Sci Today 16(10):334–339
Cagampang GB, Perez CM, Juliano BO (1973) A gel consistency test for eating quality of rice. J Sci Food Agric 24(12):1589–1594
Jennings PR, Coffman WR, Kauffman HE (1979) Grain quality in rice improvement. Int Rice Res Inst Los Banos, Philippines 6:113–118
Little RR, Hilder GB, Dawson EH (1958) Differential effect of the dilute alkali on 25 varieties of milled white rice. Cereal Chem 35:111–126
Doyle JJ, Doyle JL (1990) Isolation of plant DNA from fresh tissue. Bioacoust Res Lab Focus 12:13–15
Anderson JA, Churchill GA, Autrique JE, Tanksley SD, Sorrells ME (1993) Optimization parental selection for genetic linkage maps. Genome 36:181–188
Dewoody JA, Honeycutt RL, Skow LC (1995) Microsatellite marker in white-tailed deer. J Hered 86:317–319
Uzma M, Sheikh FA, Najeeb S, Mushtaq A, Shikari AB, Shabir HW, Ahangar MA, Khan MA, Bhat MA (2019) Evaluation and selection of fine and semi fine rice (Oryza sativa L.) genotypes for agro-morphological traits under augmented block design in temperate conditions of Kashmir valley. Int J Curr Microbiol Appl Sci 8(11):1522–1530
Arpit G, Parray GA, Shikari AB, Shabir HW, Ashok KM, Najeeb S, Bhat MA (2017) An assessment of temperate rice (Oryza sativa L.) germplasm for grain quality attributes. Int J Curr Microbiol Appl Sci 6(6):728–735
Bano DA, Singh SP, Waza SA (2017) Generation mean analysis for yield and quality traits in aromatic genotypes of rice (Oryza sativa L.). Int J Pure Appl Biosci 5(6):70–878
Majid A, Parray GA, Sofi NR, Shikari AB, Waza SA, Maqbool S, Khan MA, Sheikh FA (2019) Evaluation of grain quality traits in high altitude rice hybrids (Oryza sativa L.). Indian J Pure Appl Biosci 7(5):525–530
Adu-Kwarteng E, Ellis WO, Oduro I, Manful JT (2003) Rice grain quality: a comparison of local varieties with new varieties under study in Gana. Food Control 114:507–514
Madhubabu P, Surendra R, Suman K, Chiranjeevi M, Abdul Fayaz R, Sanjaava Rao D, Chaitanya U, Subba Rao LV, Ravindra Babu V, Neeraja CN (2020) Assesment of genetic varability for micronutrient contentand agromorpological traits in rice (Oryza sativa L.). Indian J Genet 80(2):130–139
Sruthi K, Divya B, Senguttuvel P, Revathi P, Kemparaju KB, Koteswararao P, Sundaram RM, Vikram Jeet S, Rangith Kumar E, Bhowimick Kumar P, Vinod KK, Gopala Krishnan S, Singh AK, Hari Prasad AS (2019) Evaluation of genetic diversity of parental lines for development of heterotic groups in hybrid rice (Oryza sativa L.). J Plant Biochem Biotechnol 29:236–252
McCouch SR, Kochert G, Yu ZH, Wang ZY, Khush GS, Coffman WR, Tanksley SD (1998) Molecular mapping of rice chromosomes. Theor Appl Genet 76:815–829
Meti N, Samal KC, Bastia DN, Rout GR (2013) Genetic diversity analysis in aromatic rice genotypes using microsatellite based simple sequence repeats (SSR) marker. Afr J Biotechnol 12:4238–4250
Temnykh S, Park WD, Ayres N, Cartinhour S, Hauck N, Lipovich L, Cho Ishii T, McCouch SR (2000) Mapping and genome organization of microsatwllite sequence in rice (Oryza sativa L). Theor Appl Genet 100:6907–7712
Gilbert JE, Lewis RV, Wilkinson MJ, Caligeri PDS (1999) Developing and appropriate strategy to assesss genetic variability in plant germplasm collections. Theor Appl Genet 98:112–1131
Saba JA, Rafii MY, Latif MA, Siti ZS, Ibrahim WA, Gous M (2018) Genetic diversity of aromatic rice germplasm revealed by SSR markers. BioMed Res Int. https://doi.org/10.1155/2018/7658032
Rashmi D, Prashant B, Shoumik S, Bapsila L, Sakshi S, Pallavi, Singh PK (2017) Genetic diversity analysis in rice (Oryza sativa L.) accessions using SSR markers. Int J Agric Environ Biotechnol 10(4):457–467
Richa S, Salgotra RK, Bhat JA (2017) Comparative diversity analysis in advanced breeding lines of basmati rice (Oryza sativa L.) using agro-morphological and SSR markers. Res J Biotechnol 12(4):85–93
Maliha A, Balram M, Durgarani VCh, Chandramohan Y, Ramesh T (2020) Assesment of genetic diversity of aerobic rice germplasm using SSR markers. J Pharmacogn Phytochem 9(4):1122–1128
Exonam A, Andrew E, Malachy A, Afeez S, Fiot T (2020) Genetic diversity of Korean rice (Oryza sativa L.) germplasm for yield related traits for adoption in rice farming sysem in Nigeria. Int J Genet Genom 8(1):19–28
Prasad GSV, Padmavathi G, Suneetha K, Madhav MS, Muralidharan K (2020) Assessment of diversity of Indian aromatic rice germplasm collections for morphological, agronomical, quality traits and molecular characters to identify a core set for crop improvement. CABI Agric Biosci 1(13):37
Chin JH, Chu SH, Jiang W et al (2011) Identifcation of QTLs for hybrid fertility in inter-subspecifc crosses of rice (Oryza sativa L.). Genes Genom 33:39–48
Chu SH, Jiang W, Lee J, Chin JH, Koh HJ (2012) QTL analyses of heterosis for grain yield and yield-related traits in indicajaponica crosses of rice (Oryza sativa L.). Genes Genom 34:367–377
Dan Z, Liu P, Huang W, Zhou W, Yao G et al (2015) Balance between a higher degree of heterosis and increased reproductive isolation: a strategic design for breeding inter-subspecifc hybrid rice. PLoS ONE 9(3):e93122
Thalapati S, Guttikonda H, Nannapaneni ND et al (2014) Heterosis and combining ability in rice as infuenced by introgressions from wild species Oryza rufpogon including qyld2.1 sub-QTL into the restorer line KMR3. Euphytica 202:81–95
Najeeb S, Ahangar MA, Dar SH (2013) An analysis of hybrid sterility in rice (Oryza sativa L.) using genetically diverse germplasm under temperate ecosystem. Afr J Agric Res 8:3820–3827
Qi Y, Zhang H, Zhang D, Wang M, Sun J, Ding L, Wang F, Li Z (2009) Assesing indica-japonica differentiation of improved rice varieties using microsatellite markers. J Genet Genom 36(5):305–312
Bao-Rong L, Xingxing C, Xin J (2009) Efficient indica and japonica rice identification based on InDel molecular method: its implications in rice breeding and evolutionary research. Prog Nat Sci 19(10):1241–1252
Zhiyuan X, Shujie Z, Yunyue W, Brian V, Ford-LIoyd MT, Xin J, Yue W, Huanxin Y, Xiao Y, Ping L, Bao-Rong L (2010) Differentiation and distribution of indica and japonica rice varieties along the altitude gradients in Yunnan Province of China as revealed by InDel molecular markers. Genet Resour Crop Evol 57:891–902
Xu H, Liu H, Yang L et al (2007) Subspecies characteristics in filial generation of cross between indica and japonica rice under different environments. Front Mech Eng China 1:281–288
Sun J, Liu D, Wang JY et al (2012) The contribution of intersubspecific hybridization to the breeding of super-high-yielding japonica rice in northeast China. Theor Appl Genet 125:1149–1157
Gu MH (2010) Discussion on the aspects of high-yielding breeding in rice. Acta Agron Sin 36:1431–1439
Acknowledgements
The authors acknowledge the Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, (SKUAST-K) Wadura Agriculture College and Mountain Research Centre for Field Crops (MRCFC) Khudwani Anantnag for letting us work in their labs and providing matrial for the study.
Funding
No funds/grants was received for conducting this study.
Author information
Authors and Affiliations
Contributions
NRS and ABS conceived the experiment. Nakeeb-Un-Nisa, SJ, RRM and NRS conducted the DNA marker analysis for estimation of genetic diversity. AS, GHK and ABS carried molecular marker work on indica-japonica differentiation. Materials were maintained by NRS and morphological data was generated by Nakeeb-Un-Nisa, SR and SHW. Analysis was carried out by Nakeeb-Un-Nisa, ABS, RRM and SAW.
Corresponding author
Ethics declarations
Conflict of interest
All the authors declare no relevant financial or non-financial interests.
Consent to participate
Not applicable.
Consent to publish
All the authors have read and agreed to punlished version of the manuscript.
Ethical approval
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Nakeeb-Un-Nisa, Sakina, A., Sofi, N.R. et al. DNA marker based diversity across rice genotypes and advanced breeding lines bred for temperate regions of North-West India. Mol Biol Rep 49, 7145–7155 (2022). https://doi.org/10.1007/s11033-022-07609-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11033-022-07609-5