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1

Somaclonal variation at the nucleotide sequence level in rice (Oryza sativa L.) as revealed by RAPD and ISSR markers, and by pairwise sequence analysis

100%
Ngezahayo F., Dong Y., Liu B.
Journal of Applied Genetics
|
2007
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vol. 48
|
issue 4
329-336
EN
The nature of somaclonal variation at the nucleotide sequence level was studied in rice cv. Nipponbare. First, we investigated genomic variations by using 2 molecular marker systems: RAPD (random amplified polymorphic DNA) and ISSR (inter-simple sequence repeat). This was followed by sequencing of selected bands that represented genomic variations, and pairwise sequence analysis taking advantage of the whole genome sequence of rice. In addition, transpositional activity of the active MITE, mPing, was analysed by locus-specific PCR amplifications. The 2-year-old calli and their regenerated plants, analysed with 24 RAPD and 20 ISSR primers, showed moderate levels of genomic variation (20.83% and 17.04%, respectively). To test whether DNA methylation plays a role in somaclonal variation, the calli were treated with 5-azacytidine, a chemical agent that reduces cytosine methylation by blocking the activity of DNA methyltransferase. Though dwarfism occurred in regenerants from treated calli (a hallmark of the drug treatment), there was only a slight increase in the frequency of somaclonal variation detected in the treated calli and their regenerated plants relative to untreated controls. The transposon mPing also remained immobile in both treated and untreated calli. Nevertheless, dendrograms constructed according to the Jaccard coefficient calculated by UPGMA of the ISSR bands revealed that the 5-azacytidine-treated and untreated somaclones were grouped into 2 distinct clusters, suggesting a possible indirect effect of the treatment on the genomic changes, depending on the marker used. Sequence analysis indicated a low level of variation (0.31%), with single-base-pair substitutions predominating.
2

IRAP and REMAP assessments of genetic similarity in rice

100%
Branco C. J. S., Vieira E. A., Malone G., Kopp M. M., Malone E., Bernardes A., Mistura C. C., Carvalho F. I. F., Oliveira C. A.
Journal of Applied Genetics
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2007
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vol. 48
|
issue 2
107-113
EN
Rice is a model genome for cereal research, providing important information about genome structure and evolution. Retrotransposons are common components of grass genomes, showing activity at transcription, translation and integration levels. Their abundance and ability to transpose make them good potential markers. In this study, we used 2 multilocus PCR-based techniques that detect retrotransposon integration events in the genome: IRAP (inter-retrotransposon amplified polymorphism) and REMAP (retrotransposon-microsatellite amplified polymorphism). Markers derived from Tos17, a copia-like endogenous retrotransposon of rice, were used to identify genetic similarity among 51 rice cultivars (Oryza sativa L.). Genetic similarity analysis was performed by means of the Dice coefficient, and dendrograms were developed by using the average linkage distance method. A cophenetic correlation coefficient was also calculated. The clustering techniques revealed a good adjustment between matrices, with correlation coefficients of 0.74 and 0.80, or lower (0.21) but still significant, between IRAP and REMAP-based techniques. Consistent clusters were found for Japanese genotypes, while a subgroup clustered the irrigated Brazilian genotypes.
3

Genetic diversity among cultivars, landraces and wild relatives of rice as revealed by microsatellite markers

88%
Ganesh R. S., Thiruvengadam V., Kurungari V. K.
Journal of Applied Genetics
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2007
|
vol. 48
|
issue 4
337-345
EN
Genetic diversity among 35 rice accessions, which included 19 landraces, 9 cultivars and 7 wild relatives, was investigated by using microsatellite (SSR) markers distributed across the rice genome. The mean number of alleles per locus was 4.86, showing 95.2% polymorphism and an average polymorphism information content of 0.707. Cluster analysis based on microsatellite allelic diversity clearly demarcated the landraces, cultivars and wild relatives into different groups. The allelic richness computed for the clusters indicated that genetic diversity was the highest among wild relatives (0.436), followed by landraces (0.356), and the lowest for cultivars. Allelic variability among the SSR markers was high enough to categorize cultivars, landraces and wild relatives of the rice germplasm, and to catalogue the genetic variability observed for future use. The results also suggested the necessity to introgress genes from landraces and wild relatives into cultivars, for cultivar improvement.
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