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Pyricularia grisea, the rice blast fungus is the main pathological threats to rice crop in Iran and worldwide. In this research was evaluated the genetic diversity of P. grisea collected from different fields of Guilan province by using of 14 microsatellite primers. These primers produced 64 polymorphic bands by an average of 4.57 bands for each marker. An average of polymorphic information content in whole primers was 0.734, an average of effective number of alleles was 2.68, an average of Nei’s expected heterozygosity was 0.734 and an average of Shannon’s information index was 1.05. Primer SSR43,44 had the most polymorphic information content (PIC = 0.85), observed number of alleles (na = 8), effective number of alleles (ne = 3.76), Nei’s expected heterozygosity (Ne = 0.861) and Shannon’s information index (I = 1.38). This marker was the best primer between 14 used primers for evaluation the genetic diversity of P. grisea. Cluster analysis was done with simple matching similarity matrix and UPGMA method. The results showed that the studied isolates were classified into 3 lineages by cutting off the dendrogram at 0.76 similar linkage level. Number 1 was the major group and represented most of those isolates. Results of principal coordinate analysis also divided the isolates into three groups exactly similar to obtained with cluster analysis. Overall, our results confirmed that microsatellite primers were good and suitable markers for analyzing structure of P. grisea
To explore new antifungal agents for rice blast control, the antifungal activity of a series of novel 1,2,4-triazole derivatives against Magnaporthe oryzae has been evaluated. The antifungal activity was determined by using in vitro mycelial growth inhibition tests. Among the 19 test compounds, we found that the compound 1-(4-phenoxymethyl-2-phenyl-[1,3]dioxolan-2-ylmethyl)-1H-1,2,4- triazole (Gj) displayed potent antifungal activity against M. oryzae. The IC50 value was found approximately 3.8±0.5 μM and the IC50 value of propiconazole was found to be approximately 3.7±0.2 μM, respectively. Structure-activity relationship studies on aromatic ring structures provided insight and information about the structural requirements for antifungal activity of this synthetic series against M. oryzae.
Effect of weather factors on fluctuations of spore population of Pyricularia grisea and the occurrence of the disease was considered. During growing seasons of 2006-2007, paddy fields were chosen in distance of five kilometers from weather stations of Rasht, Lahijan and Anzali in Guilan province and spore population (Ps) were measured daily using sporetraps. Weather data including precipitation (P), daily maximum and minimum temperature (Tmax, Tmin), daily maximum and minimum relative humidity (RHmax, RHmin) and sunny hours (SH) were obtained from weather stations. The relationship between spore population fluctuations and weather data was analyzed and the most important weather factors affecting spore population and predicting blast were determined. Accordingly, weather factors such as P, Tmax, RHmin and SH are the most important factors predicting rice blast in Guilan and enough precipitation, increased daily RHmin, decreased daily Tmax and SH result in increased spore population and blast occurrence during next 7-10 days. To predict final leaf blast severity (Yflbs) and neck blast index (Ynbi), factors such as Tmax, Tmin, T, RHmax, RHmin, RH, P and SH and Ps were used for modeling. For leaf blast, these factors were considered for June and July and for neck blast, the same factors used for August. Step wise regression was applied for modeling. Statistics like r, R2, aR2, SE, F and Durbin-Watson were applied for evaluating the models. Finally, the two quantitative models: Yflbs = -2.41-2.80 Tmin+0.68RHmin-0.015Ps-0.014P+0.052SH (R2 = 96.73%) and Ynbi = -24.11+0.08Tmax+0.19 RHmax+0.034Ps-0.015P+0.016SH (R2 = 73.97%), were introduced for predicting final leaf blast severity and neck blast index, respectively. Related to effects of amount of applied N fertilizer (F) and date (D) and space (S) of transplanting, the results showed high correlation between F and Yflbs and Ynbi, but such high correlation was not observed for D and S. The best function for predicting Yflbs was Y = 4.46-4.12F+1.93F2 (R2 = 96.37). The best equation for predicting Ynbi acquired when F, D and S were applied in multiple regression, Y = 2.06+0.33F+0.10D-0.03S(R2 = 54.40).
Rice blast fungus (Pyricularia grisea) is one of the most problematic pathogen to significantly reduce rice production worldwide. In this study, after being inoculated with P. grisea, changes in phenolic components and antioxidant capacity and correlation with the resistant level against rice blast fungus were investigated. Among screened rice cultivars, AV-3 was the strongest resistant, whereas BII-3 was the most susceptible. It was found that although total contents of phenolics and flavonoids, and antioxidant capacities varied among studied varieties, no significant coefficient with the resistance against P. grisea was observed. After rice was affected by rice blast fungus, total phenolics and flavonoids were markedly reduced, but in contrast, the DPPH scavenging activities of only the susceptible rice cultivars was reduced. Among the 11 phenolic acids detected, catechol was found only in the tolerant cultivar AV-3, whereas the amount of cinnamic acid was increased after infection. Quantity of vanillin was also promoted, except in the susceptible cultivar BII-3 that was significantly reduced. Findings of this study showed that the resistant level against P. grisea was proportionally correlated to the antioxidant capacity. Catechol, cinnamic acid, and vanillin may play a role but it needs further elaboration. Observations of this study suggested that the infection of blast disease by reducing amount of phenolics and flavonoids that may weaken the resistance of rice against this detrimental fungus.
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