Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-26T16:45:53.567Z Has data issue: false hasContentIssue false

Molecular screening of traditional rice varieties using tsv1-linked simple sequence repeat markers

Published online by Cambridge University Press:  16 July 2019

X. G. I. Caguiat*
Affiliation:
Genetic Resources Division, Philippine Rice Research Institute, Maligaya, Science City of Muñoz, Nueva Ecija 3119, Philippines
*
Author for correspondence: X. G. I. Caguiat, E-mail: [email protected]

Abstract

Genebanks offer vast amounts of traditional germplasm with potential sources of novel genes against biotic and abiotic stresses. In order to utilize the germplasm in rice breeding programmes, there should be a fast screening approach such as the use of molecular markers. Thus, the current study aimed to evaluate the use of tsv1 resistance-linked simple sequence repeat markers (SSR) for the preliminary screening of Philippine traditional rice germplasm against rice tungro spherical virus (RTSV). The tsv1 resistance-linked SSR markers consisted of two to four repeat motifs with 5–24 base repeats. Expected sizes ranged from 123 to 465 base pairs (bp) with polymorphism information content ranging from 0.23 to 0.73. Genetic analysis showed six major clusters at 50%: Clusters A, B and C had individual accessions, Cluster D had three accessions, Cluster E had 55 and Cluster F had 42 accessions. The study showed the germplasm with alleles linked to tsv1 but should be validated in the future with induced screening. In general, the material consisted of selected germplasm showing the presence of alleles linked to the tsv1 gene. These rice accessions could be a source of resistance to RTSV following further validation. Furthermore, molecular markers provide a useful tool to accelerate the screening of genetic resources for biotic and abiotic stress tolerance.

Type
Crops and Soils Research Paper
Copyright
Copyright © Cambridge University Press 2019 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ali, J, Xu, J-L, Gao, Y-M, Ma, X-F, Meng, L-J, Wang, Y, Pang, Y-L, Guan, Y-S, Xu, MR, Revilleza, JE, Franje, NJ, Zhou, S-C and Li, Z-K (2017) Harnessing the hidden genetic diversity for improving multiple abiotic stress tolerance in rice (Oryza sativa L.). PLoS ONE 12, e0172515. https://doi.org/10.1371/journal.pone.0172515.Google Scholar
Anupam, A, Imam, J, Quatadah, SM, Siddaiah, A, Das, SP, Variar, M and Mandal, NP (2017) Genetic diversity analysis of rice germplasm in Tripura State of Northeast India using drought and blast linked markers. Rice Science 24, 1020.Google Scholar
Ashraf, H, Husaini, AM, Ashraf Bhat, M, Parray, GA, Khan, S and Ganai, NA (2016) SSR based genetic diversity of pigmented and aromatic rice (Oryza sativa L.) genotypes of the western Himalayan region of India. Physiology and Molecular Biology of Plants 22, 547555.Google Scholar
Azzam, O and Chancellor, TCB (2002) The biology, epidemiology, and management of rice tungro disease in Asia. Plant Disease 86, 88100.Google Scholar
Bajet, NB, Aguiero, VM, Daquioag, RD, Jonson, GB, Cabunagan, RC, Mesina, EM and Hibino, H (1986) Occurrence and spread of rice tungro spherical virus in the Philippines. Plant Disease 70, 971973.Google Scholar
Bhagwat, S, Gokhale, NB, Sawardekar, SV, Kelkar, VG, Kambale, SR and Kunkerker, RL (2017) Evaluation of rice (Oryza sativa L.) germplasm for biotic and abiotic stresses and their genetic diversity using SSR markers. Oryza 54, 258265.Google Scholar
Chakravarthi, BK and Naravaneni, R (2006) SSR marker-based DNA fingerprinting and diversity study in rice (Oryza sativa L). African Journal of Biotechnology 5, 684688.Google Scholar
Chen, C, He, W, Nassirou, TY, Nsabiyumva, A, Dong, X, Adedze, YMN and Jin, D (2017) Molecular characterization and genetic diversity of different genotypes of Oryza sativa and Oryza glaberrima. Electronic Journal of Biotechnology 30, 4857.Google Scholar
Das, G and Rao, GJN (2015) Molecular marker assisted gene stacking for biotic and abiotic stress resistance genes in an elite rice cultivar. Frontiers in Plant Science 6, 118.Google Scholar
Fuentes, JL, Escobar, F, Alvarez, A, Gallego, G, Duque, MC, Ferrer, M, Deus, JE and Tohme, JM (1999) Analyses of genetic diversity in Cuban rice varieties using isozyme, RAPD and AFLP markers. Euphytica 109, 107115.Google Scholar
Ghosh, A, Sharmin, S, Islam, S, Pahloan, MU, Islam, S and Khan, H (2010) SSR markers linked to mite (Polyphagotarsonemus latus Banks) resistance in jute (Corchorus olitorius L.). Czech Journal of Genetics and Plant Breeding 46, 6474.Google Scholar
Gregorio, GB, Senahidra, D, Mendoza, RD, Manigbas, NL, Roxas, JP and Guerta, CQ (2002) Progress in breeding for salinity tolerance and associated abiotic stresses in rice. Field Crops Research 76, 91101.Google Scholar
Guichoux, E, Lagache, L, Wagner, S, Chaumeil, P, Léger, P, Lepais, O, Lepoittevin, C, Malausa, T, Revardel, E, Salin, F and Petit, RJ (2011) Current trends in microsatellite genotyping. Molecular Ecology Resources 11, 591611.Google Scholar
Hibino, H (1996) Biology and epidemiology of rice viruses. Annual Review of Phytopathology 34, 249274.Google Scholar
Huang, M, Wu, Y, Tao, X, Liu, Y, Yang, G and Chen, Z (2015) Genetic diversity of main inbred indica rice varieties applied in Guangdong Province as revealed by molecular marker. Rice Science 22, 18.Google Scholar
Kanawapee, N, Sanitchon, J, Srihaban, P and Theerakulpisut, P (2011) Genetic diversity analysis of rice cultivars (Oryza sativa L.) differing in salinity tolerance based on RAPD and SSR markers. Electronic Journal of Biotechnology 14, 6, 10.2225/vol14-issue6-fulltext-4.Google Scholar
Keka, SI, Shamsuzzaman, M, Pahloan, MU, Pervin, S, Rhaman, MM and Khan, H (2008) Identifying Simple Sequence Repeat (SSR) markers linked to mite tolerance in jute species. Bangladesh Journal of Botany 37, 161171.Google Scholar
Kumar, S, Devi, EL, Sharma, SK, Ansari, MA, Phurailatpam, S, Ng, TC, Singh, T, Prakash, N, Kumar, R, Kumawat, N, Mandal, D and Kumar, A (2017) Rice breeding strategies of North Eastern India for resilience to biotic and abiotic stresses: a review. Oryza 54, 112.Google Scholar
Lee, JH, Muhsin, M, Atienza, GA, Kwak, DY, Kim, SM, De Leon, TB, Angeles, ER, Coloquio, E, Kondoh, H, Satoh, K, Cabunagan, RC, Cabauatan, PQ, Kikuchi, S, Leung, H and Choi, IR (2010) Single nucleotide polymorphisms in a gene for translation initiation factor (eIF4G) of rice (Oryza sativa L.) associated with resistance to rice tungro spherical virus. Molecular Plant-Microbe Interactions 23, 2938.Google Scholar
Lindhout, P (2002) The perspectives of polygenic resistance in breeding for durable disease resistance. Euphytica 124, 217226.Google Scholar
Li, Y-H, Zhang, C, Gao, Z-S, Smulders, MJM, Ma, Z, Liu, Z-X, Nan, H-Y, Chang, RZ and Qiu, L-J (2009) Development of SNP markers and haplotype analysis of the candidate gene for rhg1, which confers resistance to soybean cyst nematode in soybean. Molecular Breeding 24, 6376.Google Scholar
Murray, MG and Thompson, WF (1980) Rapid isolation of high molecular weight plant DNA. Nucleic Acids Research 8, 43214325.Google Scholar
Ni, J, Colowit, PM and Mackill, DJ (2002) Evaluation of genetic diversity in rice subspecies using microsatellite markers. Crop Science 42, 601607.Google Scholar
Nybom, H (2004) Comparison of different nuclear DNA markers for estimating intraspecific genetic diversity in plants. Molecular Ecology 13, 11431155.Google Scholar
Onaga, G, Egdane, J, Edema, R and Abdelbagi, I (2013) Morphological and genetic diversity analysis of rice accessions (Oryza sativa L.) differing in iron toxicity tolerance. Journal of Crop Science and Biotechnology 16, 5362.Google Scholar
Peakall, R and Smouse, PE (2012) Genalex 6.5: genetic analysis in Excel. Population genetic software for teaching and research – an update. Bioinformatics (Oxford, England) 28, 25372539.Google Scholar
Rahman, MS, Sohag, MKH and Rahman, L (2010) Microsatellite based DNA fingerprinting of 28 local rice (Oryza sativa L.) varieties of Bangladesh. Journal of the Bangladesh Agricultural University 8, 717.Google Scholar
Ravi, M, Geethanjali, S, Sameeyafarheen, F and Maheswaran, M (2003) Molecular marker based genetic diversity analysis in rice (Oryza sativa L.) using RAPD and SSR markers. Euphytica 133, 243252.Google Scholar
Rohlf, FJ (2005) NTSYS-pc: Numerical Taxonomy and Multivariate Analysis System, Version 2.2. Setauket, NY, USA: Exeter Software.Google Scholar
Sabar, M, Bibi, T, Farooq, HU, Haider, Z, Naseem, I, Mahmood, A and Akhter, M (2016) Molecular screening of rice (Oryza sativa L.) germplasm for Xa4, xa5 and Xa21 bacterial leaf blight (BLB) resistant genes using linked marker approach. African Journal of Biotechnology 15, 23172324.Google Scholar
Sajib, AM, Hossain, M, Mosnaz, ATMJ, Hossain, H, Islam, M, Ali, S and Prodhan, SH (2012) SSR marker-based molecular characterization and genetic diversity analysis of aromatic landraces of rice (Oryza sativa L.). Journal of BioScience and Biotechnology 1, 107116.Google Scholar
Schiff, CL, Wilson, IW and Somerville, SC (2001) Polygenic powdery mildew disease resistance in Arabidopsis thaliana: quantitative trait analysis of the accession warschau-1. Plant Pathology 50, 690701.Google Scholar
Shamim, MD and Singh, KN (2017) Biotic Stress Management in Rice: Molecular Approaches. Oakville, ON, Canada: Apple Academic Press.Google Scholar
Singh, A and Sengar, RS (2015) DNA fingerprinting-based decoding of indica rice (Oryza sativa L) via molecular marker (SSR, ISSR, and RAPD) in aerobic condition. Advances in Crop Science and Technology 3, 18.Google Scholar
Sokal, RR and Michener, CD (1958) A statistical method for evaluating systematic relationships. University of Kansas Science Bulletin 38, 14091438.Google Scholar
Song, JJ, Liu, J, Tolia, NH, Schneiderman, J, Smith, SK, Martienssen, RA, Hannon, GJ and Joshua-Tor, L (2003) The crystal structure of the Argonaute2 PAZ domain reveals an RNA binding motif in RNAi effector complexes. Nature Structural & Molecular Biology 10, 10261032.Google Scholar
Thomson, MJ, Septiningsih, EM, Suwardjo, F, Santoso, TJ, Silitonga, TS and McCouch, SR (2007) Genetic diversity analysis of traditional and improved Indonesian rice (Oryza sativa L.) germplasm using microsatellite markers. Theoretical and Applied Genetics 114, 559568.Google Scholar
Virk, PS, Zhu, J, Newbury, HJ, Bryan, GJ, Jackson, MT and Ford-Lloyd, BV (2000) Effectiveness of different classes of molecular marker for classifying and revealing variation in rice (Oryza sativa) germplasm. Euphytica 112, 275284.Google Scholar
Yun, R, Zhong, M, Wang, HX, Wei, W, Hu, ZA and Qian, YQ (1998) Study on DNA diversity of Liaodong populations at Dongling mountain region. Acta Botanica Sinica 40, 169175.Google Scholar