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Burkholderia glumae causes panicle blight of rice (grain rot in Japan and Korea), and the severity of damage is increasing worldwide. During 2017 and 2018, 137 isolates of B. glumae were isolated from symptomatic grain rot of rice cultivated in paddy fields throughout South Korea. Genetic diversity of the isolates was determined using transposase-based PCR (Tnp-PCR) genomic fingerprinting. All 138 isolates, including the B. glumae BGR1 strain, produced toxoflavin in various amounts, and 17 isolates produced an unidentified purple or orange pigment on Luria-Bertani medium and casamino acid-peptone-glucose medium, respectively, at 28°C. Transposase-based PCR genomic fingerprinting was performed using a novel primer designed based on transposase (tnp) gene sequences located at the ends of the toxoflavin efflux transporter operon; this method provided reliable and reproducible results. Through Tnp-PCR genomic fingerprinting, the genetic groups of Korean B. glumae isolates were divided into 11 clusters and three divisions. The Korean B. glumae isolates were mainly grouped in division I (73%). Interestingly, most of the pigment-producing isolates were grouped in divisions II and III; of these, 10 were grouped in cluster VIII, which comprised 67% of this cluster. Results of a phylogenetic analysis based on tofI and hrpB gene sequences were consistent with classification by Tnp-PCR genomic fingerprinting. The BGR1 strain did not belong to any of the clusters, indicating that this strain does not exhibit the typical genetic representation of B. glumae. B. glumae isolates showed diversity in the use of carbon and nitrogen sources, but no correlation with genetic classification by PCR fingerprinting was found. This is the first study to analyze the geographical distribution and genetic diversity of Korean B. glumae isolates.

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Rice grain rot disease was detected for the first time in Mazandaran Province, Iran. The bacteria isolated from infected rice plants showed grains rotted and darkening. A Xanthomonas strain closely connected to X. sacchari was identified using molecular and whole genome sequencing approaches confirmed as the causal agent by fulfilling Koch's postulates.

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This study was conducted to evaluate usefulness of numerical weather prediction data generated by the Unified Model (UM) for plant disease forecast. Using the UM06- and UM18-predicted weather data, which were released at 0600 and 1800 Universal Time Coordinated (UTC), respectively, by the Korea Meteorological Administration (KMA), disease forecast on bacterial grain rot (BGR) of rice was examined as compared with the model output based on the automated weather stations (AWS)-observed weather data. We analyzed performance of BGRcast based on the UM-predicted and the AWS-observed daily minimum temperature and average relative humidity in 2014 and 2015 from 29 locations representing major rice growing areas in Korea using regression analysis and two-way contingency table analysis. Temporal changes in weather conduciveness at two locations in 2014 were also analyzed with regard to daily weather conduciveness (C i ) and the 20-day and 7-day moving averages of C i for the inoculum build-up phase (C inc ) prior to the panicle emergence of rice plants and the infection phase (C inf ) during the heading stage of rice plants, respectively. Based on C inc and C inf , we were able to obtain the same disease warnings at all locations regardless of the sources of weather data. In conclusion, the numerical weather prediction data from KMA could be reliable to apply as input data for plant disease forecast models. Weather prediction data would facilitate applications of weather-driven disease models for better disease management. Crop growers would have better options for disease control including both protective and curative measures when weather prediction data are used for disease warning.

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Bacterial grain rot (BGR), caused by the bacterial pathogen Burkholderia glumae, is one of the most destructive rice (Oryza sativa) diseases in Japan; however, there are no BGR-resistant cultivars for use in Japan. We previously developed a cut-panicle inoculation method to assess the levels of BGR resistance in the World Rice Collection (WRC). Here, we evaluated major Japanese cultivars for BGR resistance and found that none showed "strong" or "medium to strong" resistance; most were categorized as "medium to weak". On the basis of the screening results, standard cultivars for BGR resistance were selected according to resistance level and relative maturity. Our results indicate that it is necessary to introduce quantitative trait loci (QTLs) from indica or tropical japonica resistant cultivars into Japanese temperate japonica to develop BGR-resistant cultivars for Japan. We previously developed a near-isogenic line (RBG2-NIL) by introducing the genomic region containing RBG2 from 'Kele' (indica) into 'Hitomebore'. In this experiment, we confirmed the resistance level of RBG2-NIL. The resistance score of RBG2-NIL was "medium to strong", indicating its effectiveness against BGR.

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Rice diseases caused by multiple pathogen species are a major obstacle to achieving optimal yield. Using host pathogen species-non-specific broad-spectrum resistance (BSR) for rice improvement is an efficient way to control diseases. Recent advances in rice genomics and improved understanding of the mechanisms of rice-pathogen interactions have shown that using a single gene to improve rice BSR to multiple pathogen species is technically possible and the necessary resources exist. A variety of rice genes, including major disease resistance genes and defense-responsive genes, which function in pattern-triggered immunity signaling, effector-triggered immunity signaling or quantitative resistance, can mediate BSR to two or more pathogen species independently. These genes encode diverse proteins and function differently in promoting disease resistance, thus providing a relatively broad choice for different breeding programs. This updated knowledge will facilitate rice improvement with pathogen species-non-specific BSR via gene marker-assisted selection or biotechnological approaches.

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In rice (Oryza sativa L.), damage from diseases such as brown spot, caused by Bipolaris oryzae, and bacterial seedling rot and bacterial grain rot, caused by Burkholderia glumae, has increased under global warming because the optimal temperature ranges for growth of these pathogens are relatively high (around 30 °C). Therefore, the need for cultivars carrying genes for resistance to these diseases is increasing to ensure sustainable rice production. In contrast to the situation for other important rice diseases such as blast and bacterial blight, no genes for complete resistance to brown spot, bacterial seedling rot or bacterial grain rot have yet been discovered. Thus, rice breeders have to use partial resistance, which is largely influenced by environmental conditions. Recent progress in molecular genetics and improvement of evaluation methods for disease resistance have facilitated detection of quantitative trait loci (QTLs) associated with resistance. In this review, we summarize the results of worldwide screening for cultivars with resistance to brown spot, bacterial seedling rot and bacterial grain rot and we discuss the identification of QTLs conferring resistance to these diseases in order to provide useful information for rice breeding programs.

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A disease forecast model for bacterial grain rot (BGR) of rice, which is caused by Burkholderia glumae, was developed in this study. The model, which was named 'BGRcast', determined daily conduciveness of weather conditions to epidemic development of BGR and forecasted risk of BGR development. All data that were used to develop and validate the BGRcast model were collected from field observations on disease incidence at Naju, Korea during 1998-2004 and 2010. In this study, we have proposed the environmental conduciveness as a measure of conduciveness of weather conditions for population growth of B. glumae and panicle infection in the field. The BGRcast calculated daily environmental conduciveness, Ci , based on daily minimum temperature and daily average relative humidity. With regard to the developmental stages of rice plants, the epidemic development of BGR was divided into three phases, i.e., lag, inoculum build-up and infection phases. Daily average of Ci was calculated for the inoculum build-up phase (Cinf ) and the infection phase (Cinc ). The Cinc and Cinf were considered environmental conduciveness for the periods of inoculum build-up in association with rice plants and panicle infection during the heading stage, respectively. The BGRcast model was able to forecast actual occurrence of BGR at the probability of 71.4% and its false alarm ratio was 47.6%. With the thresholds of Cinc = 0.3 and Cinf = 0.5, the model was able to provide advisories that could be used to make decisions on whether to spray bactericide at the pre- and post-heading stage.

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Burkholderia glumae is the chief causal agent for bacterial panicle blight of rice. The acyl-homoserine lactone (AHL)-mediated quorum-sensing (QS) system dependent on a pair of luxI and luxR homologs, tofI and tofR, is the primary cell-to-cell signaling mechanism determining the virulence of this bacterium. Production of toxoflavin, a major virulence factor of B. glumae, is known to be dependent on the tofI/tofR QS system. In our previous study, however, it was observed that B. glumae mutants defective in tofI or tofR produced toxoflavin if they grew on the surface of a solid medium, suggesting that alternative signaling pathways independent of tofI or tofR are activated in that growth condition for the production of toxoflavin. In this study, potential genetic components involved in the tofI- and tofR-independent signaling pathways for toxoflavin production were sought through screening random mini-Tn5 mutants of B. glumae to better understand the intercellular signaling pathways of this pathogen. Fifteen and three genes were initially identified as the potential genetic elements of the tofI- and tofR-independent pathways, respectively. Especially, the ORF (bglu_2g06320) divergently transcribed from toxJ, which encodes an orphan LuxR protein and controls toxoflavin biosynthesis, was newly identified in this study as a gene required for the tofR-independent toxoflavin production and named as toxK. Among those genes, flhD, dgcB, and wzyB were further studied to validate their functions in the tofI-independent toxoflavin production, and similar studies were also conducted with qsmR and toxK for their functions in the tofR-independent toxoflavin production. This work provides a foundation for future comprehensive studies of the intercellular signaling systems of B. glumae and other related pathogenic bacteria.

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Bacterial grain rot (BGR), caused by the bacterial pathogen Burkholderia glumae, is a destructive disease of rice. At anthesis, rice panicles are attacked by the pathogen, and the infection causes unfilled or aborted grains, reducing grain yield and quality. Thus, increasing the level of BGR resistance is an important objective for rice breeding. A quantitative trait locus (QTL) on rice chromosome 1 that controls BGR resistance was previously detected in backcross inbred lines (BILs) derived from a cross between Kele, a resistant traditional lowland cultivar (indica) that originated in India, and Hitomebore, a susceptible modern lowland cultivar (temperate japonica) from Japan. Further genetic analyses using a BC3F6 population derived from a cross between a resistant BIL (BC2F5) and Hitomebore confirmed that a QTL for BGR resistance was located on the long arm of chromosome 1. To define more precisely the chromosomal region underlying this QTL, we identified nine BC2F6 plants in which recombination occurred near the QTL. Substitution mapping using homozygous recombinant and nonrecombinant plants demonstrated that the QTL, here designated as Resistance to Burkholderia glumae 2 (RBG2), was located in a 502-kb interval defined by simple sequence repeat markers RM1216 and RM11727.

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Molecular breeding has a crucial role in improvement of crops. Conventional breeding techniques have failed to ameliorate food production. Next generation sequencing has established new concepts of molecular breeding. Exome sequencing has proven to be a significant tool for assessing natural evolution in plants, studying host pathogen interactions and betterment of crop production as exons assist in interpretation of allelic variation with respect to their phenotype. This review covers the platforms for exome sequencing, next generation sequencing technologies that have revolutionized exome sequencing and led toward development of third generation sequencing. Also discussed in this review are the uses of these sequencing technologies to improve wheat, rice and cotton yield and how these technologies are used in exploring the biodiversity of crops, providing better understanding of plant-host pathogen interaction and assessing the process of natural evolution in crops and it also covers how exome sequencing identifies the gene pool involved in symbiotic and other co-existential systems. Furthermore, we conclude how integration of other methodologies including whole genome sequencing, proteomics, transcriptomics and metabolomics with plant exomics covers the areas which are left untouched with exomics alone and in the end how these integration will transform the future of crops.

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O uso sucessivo de híbridos de milho com resistência variada aos fungos causadores de podridão de grãos tem causado aumento na importância dessas doenças a cada safra. Conduziu-se este trabalho com o objetivo de avaliar pelo teste de sanidade (blotter test) a severidade do fungo Fusarium verticilioides e a incidência dos fungos Stenocarpella maydis e Stenocarpella macrospora em grãos de milho, oriundos de híbridos comerciais, com e sem a inoculação artificial a campo, em dois sistemas de cultivo, convencional e sistema de semeadura direta e em dois anos agrícolas. O experimento foi conduzido a campo, em blocos casualizados, com três repetições. Em laboratório, foram avaliadas, pelo método de "blotter test", a severidade do fungo F. verticilioides e a incidência dos fungos S. maydis e S. macrospora causadores de podridões de espiga. A avaliação pelo teste de sanidade (blotter test) evidenciou a diferença entre os híbridos quanto a reação aos fungos F.verticilioides, S. maydis e S. macrospora. Houve influência do híbrido, da safra agrícola e do sistema de cultivo sobre a infecção dos fungos causadores de podridões de espigas, sendo que o sistema plantio direto favorece o aumento dos fungos responsáveis pelos grãos ardidos em milho. A utilização da inoculação artificial, em campo, visando a selecionar genótipos resistentes aos fungos causadores do "complexo de grãos ardidos" é eficiente.

The continued use of corn hybrids with varied resistance to grain rot-causing fungal agents increases the importance of these diseases every year. The objective of this work was to evaluate, by a sanitary test (blotter test), the severity of the fungus Fusarium verticilioides and the incidence of Stenocarpella maydis and Stenocarpella macrospora in corn grain from commercial hybrids, with and without in-field artificial inoculation, under two cultivation systems (conventional and direct sowing), over two crop seasons. The experiment was carried out under field conditions, using an experimental randomized blocks design, with three replications. In the laboratory, the severity of F. verticilioides and the incidence of S. maydis and S. macrospora ,the causative agents of ear rot in corn, were evaluated by the "blotter test" method. The blotter test evaluation allowed us to detect differences between the hybrids in their reactions to the fungi F. verticilioides, S. maydis and S. macrospora. The crop season and cultivation system used had the most influence on fungal infection in the hybrids. The direct sowing system showed an increase in the fungal infection responsible for causing grain rot. The use of artificial inoculation, in-field, to select genotypes resistant to the fungal agents causing the "grain rot complex" is efficient.