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Research Detail

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M. S. Rahman
Genetic Fingerprinting Laboratory, Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

M. K. H. Sohag
Genetic Fingerprinting Laboratory, Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

L. Rahman
Genetic Fingerprinting Laboratory, Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh

A total of 28 local rice (Oryza sativa L.) varieties of Bangladesh were selected for DNA fingerprinting with seven microsatellite DNA markers. Upon PCR amplification the alleles were separated on Agarose gel using a sequencing gel electrophoresis system. The loci were polymorphic (P95) in all of the varieties. Variation was found in number of alleles, allele frequency, observed and expected heterozygosity. The primer, RM335 having motif (CTT)20 also yielded highest number of alleles (15) and highest PIC value (0.909). Genetic differentiation (Fst) values were found in the ranges 0.84 to 1.00 with an average of 0.92 and gene flow (Nm) values ranged from 0.047 to 0.00 with an average of 0.02. High level genetic differentiation and low level gene flow values in 28 rice (Oryza sativa L.) varieties which were indicated of diversity among the varieties as most of these varieties were of landraces. Over all Nei’s genetic distance value (D) ranged from nil to 2.56 among 378 varietals pairs resulting as a means of permutation combination of 28 rice varieties. The UPGMA dendrograme based on Nei’s genetic distance placed the varieties into different clusters. All of the varieties were identified with at least one and/or combination of 7 primers.

  Microsatellites, DNA fingerprinting, Oryza sativa
  Bangladesh Agricultural University, Mymensingh
  00-08-2008
  00-01-2009
  Variety and Species
  Rice

The experiment was carried out for DNA fingerprinting with seven microsatellite DNA markers

Seeds of the local rice varieties were collected from Genetic Resource and Seed Division (GRSD) of Bangladesh Rice Research Institute (BRRI). The varieties were grown and molecular characterizations were done in the Genetic Fingerprinting Laboratory of the Department of Genetics and Plant Breeding during the period of August/2008- January/2009. 10-12 seeds of each variety were selected randomly and dried in oven at 540C for 48 hrs for better germination. After germination in the wet blotting paper in petridishes, the seedlings were grown in small plastic pots. Bulked DNA was isolated from 2-5 juvenile culms of 15-day-old seedlings of each of 28 rice varieties/cultivars following the protocol described by Aljanabi and Martinez (1997) and also used by Rahman et al., (2007) with some modifications. Excluding usage of CTAB, the modified protocol included digestion with homogenization buffer (Solution: Tris-50 mM, EDTA-25 mM, NaCI-300 mM, 1% SDS and deionized water) at 650C for 30 min, extraction with phenol: chloroform: isoamyl alcohol (25:24:1), precipitation with ice-cold and extra pure isopropyl alcohol and purification with absolute ethanol (Plus sodium acetate, 3M) and 70% ethanol chronologically. Finally, DNA sample of each rice variety dissolving in 30-40μl of TE buffer within 1.5 ml eppendorf tube was preserved separately at -20°C. Presence of genomic DNA was confirmed on 1% agarose gel qualitatively. The amount of genomic DNA was quantified at 260nm spectrophotometrically (Spectronic® GenesisTM). Using the absorbance reading obtained for DNA sample of each rice variety, the original DNA concentrations were determined and adjusted to 25 ng/μl. A set of seventeen microsatellite primer pairs (RM5, RM55, RM105, RM151, RM153, RM170, RM206, RM264, RM266, RM278, RM287, RM307, RM333, RM334, RM335 RM475 and RM481) distributed in the rice genome were identified from the available data-based search (http://www.gramene.org/) for rice SSR markers as described by Akagi et al. (1996), Panaud et al. (1996), Temnykh et al. (2000, 2001) and McCouch et al. (2002). From those identified primers, at first 3 to 5 primers were tested against 5 randomly selected varieties with a recommended PCR thermal profile. Based on better responsiveness in amplifying the target genomic region of template DNA, the expected PCR product sizes in base pairs was then going to check. The selected Primers were then screened against 28 varieties at a time. In this way seven primer pairs viz. RM153, RM206, RM251, RM307, RM333, RM335 and RM475 representing chromosome numbers 5, 11, 3, 4,10, 4, and 2 of rice genome (Temnykh et al., 2001) with clear and expected amplified product sizes were selected and used for microsatellite analysis in the present study. One (RM153) and two (RM153 and RM335) of these primers were used in the study for molecular characterization of 34 rice varieties (Rahman, et al., 2006) and 94 rice varieties (Rahman, et al., 2007) respectively. Polymerase chain reaction (PCR), Electrophoretic separation and visualization of PCR products and Scoring and analysis of microsatellite data were recorded.

  J. Bangladesh Agril. Univ. 8(1): 7–17, 2010 ISSN 1810-3030
  
Funding Source:
  

The present study showed average number of alleles of all the rice genotypes were 11.71 over the seven microsatellite loci. The coefficient of population differentiation (Fst) and gene flow (Nm) values across all the loci were 0.92 and 0.02, respectively. The Unweighted Pair Group Method of Arithmetic Mean (UPGMA) dendrogram based on Nei’s (1972) genetic distance, resulted in two major clusters with several sub cluster. Through the present study, a total of 28 variety’s specific alleles were identified with specific SSR primer. The result of the present study would be useful to know genetic variation, population structure, parentage assessment, genome mapping, Marker Assisted Selection (MAS), forensics, stock purity, etc. of different populations of the studied species before undertaking any breeding any breeding program, and also will be used as baseline information for further study. However, more extensive molecular data is needed in order to draw and conclusive remarks about the relationship between rice cultivars. Large number of samples would be necessary to determine if there are inherent differences in genetic distance between the rice cultivars. Moreover, using higher number of markers would give a clear idea about the genetic variation and genetic diversity which might be of greater interest for the plant breeders for the development of rice varieties.

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