Novel biotic stress responsive candidate gene based SSR (cgSSR) markers from rice
- 166 Downloads
Developing host resistance is an effective measure to minimize the yield losses caused by biotic stresses in crop plants. Generation of genomic resources greatly facilitates the development of resistant plants. Microsatellite markers speed up the selection procedure and introgression of resistant alleles in rice breeding programme. Candidate gene based SSR (cgSSR) markers are preferred over genomic SSR due to their tighter linkage with the trait governing loci. This study describes the identification and analysis of cgSSR markers from biotic stress responsive genes of rice. Among the selected 308 different biotic stress responsive genes of rice, 176 gene sequences were found to harbour a total of 364 SSR loci. Tri-nucleotide motif was found to be the most abundant (51.09%), followed by di- (45.05%) and tetra-nucleotide (3.84%). Intron and CDS are the two locations where most of the cgSSR loci were found, followed by 5′UTR and 3′UTR. In order to validate, polymorphism survey was done in 25 Oryza sativa genotypes using 35 cgSSR primer pairs. Among the 35 cgSSR, 27 cgSSR exhibited loci specific amplification with an average allele number of 5.66 per primer and mean PIC value of 0.226. Further, out of 27, 21 cgSSRs were found to be cross transferable to the wild species belonging to the Sativa complex; while 19 were found to be transferable to the species belonging to the Officinalis complex. The novel biotic stress-responsive cgSSR markers developed here could be used in marker-assisted introgression and pyramiding of resistant allele into elite rice cultivars from other rice germplasm as well as from wild relatives of rice.
KeywordsGenic SSR Trait specific marker Wild rice Cross species transferability Genomic resources Biotic stress of rice
Simple sequence repeat
Sequence tagged microsatellite site
Candidate gene based SSR
Polymorphism information content
Quantitative trait loci
Expressed sequence tag
Coding DNA sequence
Polymerase chain reaction
Principal coordinates analysis
Bacterial leaf blight
Rice dwarf virus
Rice stripe virus
Authors are thankful to the Director, ICAR-National Rice Research Institute for encouragement and providing all facilities to carry out research work. Thanks are due to the Genebank of ICAR-NRRI, Cuttack for providing the germplasm.
KAM conceptualized, designed and planned the study. KAM, TPMA, SR, AS and SS performed the experiments. KAM, TPMA, SR, SS, MC, JV, ONS, MJB and AKM analysed the data. KAM wrote the manuscript. TPMA, MC, SR and SS edited the manuscript. JV, ONS, MJB and AKM critically revised the manuscript. KAM, TPMA, SR and AS are responsible for preparing different tables and figures. All authors read and approved the final manuscript.
The work was funded by Indian Council of Agricultural Research (ICAR), New Delhi. The Funding body has no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
Ethics approval and consent to participate
Consent for publication
Availability of data and materials
All data generated or analysed during this study are included in this published article and in additional files (Additional file 1-6).
- Awika JM (2011) Major Cereal Grains Production and Use around the World thousands of years. Publication Date (Web): 30 Nov 2011Google Scholar
- Baruah B, Senapoty D, Ali M (1992) False smut: a threat to rice growers in Assam. Indian J Mycol Plant Pathol 22:274–277Google Scholar
- Brar DS, Khush GS (2018) Wild relatives of rice: a valuable genetic resource for genomics and breeding research. In: Mondal TK, Henry RJ (eds) The Wild Oryza genomes. Springer, Cham, pp 1–25Google Scholar
- Kar MK, Bose LK, Cjhakraborti M., Azharudheen M., Ray S, Sarkar S, Dash SK, Reddy JN, Pani DR, Jena M, Mukherjee AK, Lenka S, Mohapatra SD, Jambhulkar NN (2018) Utilization of cultivated and wild Gene pools of rice for resistance to biotic stresses. In: Rice research for enhancing productivity, profitability and climate resilience, pp 52–72. ICAR-National Rice Research Institute, Cuttack, India. ISBN: 81-88409-04-9Google Scholar
- Khush GS, Bacalangco E, Ogawa T (1990) 18. A new gene for resistance to bacterial blight from O. longistaminata. Rice Genet News Lett 7:121–122Google Scholar
- Mondal TK, Henry RJ (eds) (2018) The Wild Oryza genomes. Springer, BerlinGoogle Scholar
- Perrier X, Jacquemoud-Collet JP (2006) DARwin software. http://darwin.cirad.fr/
- Sharma A, Chauhan R (2008) Identification of candidate gene-based markers (SNPs and SSRs) in the zinc and iron transporter sequences of maize (Zea mays L). Curr Sci 95(8):1051–1059Google Scholar
- Temnykh S, DeClerck G, Lukashova A, Lipovich L, Cartinhour S, McCouch S (2001) Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): frequency, length variation, transposon associations, and genetic marker potential. Genome Res 11:1441–1452PubMedPubMedCentralCrossRefGoogle Scholar