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Asian rice gall midge, Orseolia oryzae (Wood-Mason) is the important endemic pest of Rice crop in the North coastal zone of Andhra Pradesh causing grain yield losses. A field experiment was conducted during Kharif 2022 at Agriculture College farm, Naira to know the relationship of various abiotic parameters with rice gall midge incidence in four different dates of sowings. The peak incidence of rice gall midge was noticed with 13.14 per cent silver shoots during the 46th SMW (Standard Meteorological Week) on the fourth date of sowing (17-09-2022). The correlation studies between percent silver shoots (fourth date of sowing) and abiotic factors revealed that maximum temperature (r = -0.245), morning relative humidity (r = -0.384) and rainfall (r = -0.121) showed a non-significant negative correlation, whereas minimum temperature (r = 0.613) showed nonsignificant positive correlation and evening relative humidity (r = 0.774) showed a significant positive correlation. [ABSTRACT FROM AUTHOR]

A field experiment was carried out to determine the comparative efficacy of newer insecticides with botanical insecticides, viz., Chlorantraniliprole 0.4G @ 10 kg ha-1, Fipronil 5 SC @ 1500 ml ha-1, Acephate 95 SG @ 750 g ha-1, Lambda cyhalothrin 4.9 CS @ 550 ml ha-1, Thiamethoxam 25 WG @ 150 g ha-1 @ Carbofuran 3 CG @ 30 kg ha-1, Carbosulfan 25 EC @ 875 ml ha-1, Cedarwood oil @ 1000 ml ha-1, Azadirachtin 0.03 EC @ 2500 ml ha-1, applied at 20 and 35 DAT, against rice gall midge, Orseolia oryzae (Wood-Mason) in rice during kharif, 2019 and 2020. All the treatments were effective for gall midge. Lambda cyhalothrin 4.9 CS @ 550 ml ha-1 was significantly superior (>80% reduction over control) for gall midge management and grain yield was 4.75 t ha-1. Both botanical and untreated plots had more number of parasitized gall midge (40-53.3%) than other chemical treated plots. [ABSTRACT FROM AUTHOR]

The Asian rice gall midge (Orseolia oryzae (Wood-Mason)) is a major insect pest in rice cultivation. Therefore, development of a reliable system for the timely prediction of this insect would be a valuable tool in pest management. In this study, occurring between the period from 2013–2018: (i) gall midge populations were recorded using a light trap with an incandescent bulb, and (ii) climatological parameters (air temperature, air relative humidity, rainfall and insulations) were measured at four intensive rice cropping agroecosystems that are endemic for gall midge incidence in India. In addition, weekly cumulative trapped gall midge populations and weekly averages of climatological data were subjected to count time series (Integer-valued Generalized Autoregressive Conditional Heteroscedastic—INGARCH) and machine learning (Artificial Neural Network—ANN, and Support Vector Regression—SVR) models. The empirical results revealed that the ANN with exogenous variable (ANNX) model outperformed INGRACH with exogenous variable (INGRCHX) and SVR with exogenous variable (SVRX) models in the prediction of gall midge populations in both training and testing data sets. Moreover, the Diebold–Mariano (DM) test confirmed the significant superiority of the ANNX model over INGARCHX and SVRX models in modeling and predicting rice gall midge populations. Utilizing the presented efficient early warning system based on a robust statistical model to predict the build-up of gall midge population could greatly contribute to the design and implementation of both proactive and more sustainable site-specific pest management strategies to avoid significant rice yield losses.

Resistance against the Asian rice gall midge, Orseolia oryzae (Wood-Mason), is conferred by any one of the 11 major genes identified so far. Resistance conferred by these genes may or may not involve a hypersensitive reaction (HR). Three of these gall midge resistance genes have been already cloned. In this study, expression of 20 key genes, identified based on our earlier studies, in 12 rice genotypes was profiled through quantitative real time (RT)-PCR at two time points. Results highlighted diversity in resistance pathways either involving reactive oxygen species (ROS)-hypersensitive reaction (HR) salicylic acid-mediated systemic acquired resistance or strong suppression of ROS-HR at initial stage itself. Some of the susceptible test genotypes derived from crosses between gall midge resistant and susceptible parents expressed trace activity of these genes even during compatible interaction. [ABSTRACT FROM AUTHOR]

African rice gall midge, Orseolia oryzivora Harris and Gagné, is a major pest of rice in Africa. Depsite its economic importance, its chemical ecology is not well understood. Here, we assessed behavioral and electrophysiological responses of O. oryzivora to host plant volatiles. In olfactometer bioassays, mated female O. oryzivora were attracted to volatiles emitted from intact rice plants but were repelled by volatiles collected from plants infested by conspecifics. In a choice test, there was a preference for volatiles from uninfested plants over those from infested plants. Coupled gas chromatography-electroantennography analyses of panicle volatiles isolated four electrophysiologically active components: ( S)-linalool, 4,8-dimethyl-1,3,7-nonatriene, ( E)-caryophyllene, and ( R/S)-( E)-nerolidol. A synthetic blend of volatiles at the same concentration and ratio as that from an intact plant was attractive to mated females, whereas a blend based on the ratio of volatiles from an infested plant was repellent. This suggests that O. oryzivora uses olfaction for host plant recognition. The identification of blends of volatiles emitted by plants that can both attract and repel O. oryzivora may aid the development of sustainable control measures. [ABSTRACT FROM AUTHOR]

Rice black streaked dwarf virus (RBSDV), southern rice black streaked dwarf virus (SRBSDV), rice ragged stunt virus (RRSV) and rice gall dwarf virus (RGDV) are common pathogens that affect rice in eastern and southeastern Asia. They are transmitted by the white-backed planthopper, brown planthopper, leafhopper and small brown planthopper, respectively, and require different control strategies. Although rice plants develop characteristic symptoms when infected by each virus, infected plants may also exhibit similar symptoms, which can hinder accurate symptom-based diagnoses. Thus, a one-step multiplex reverse transcription-PCR assay was developed for the simultaneous detection of the four viruses. The amplification products in singly or co-infected plants were easily distinguished during agarose gel electrophoresis. The optimized multiplex reverse transcription-PCR method was used to analyze 582 field samples collected from southern China between 2013 and 2015. RGDV was the most common virus, detected in ∼36.1% of the samples, while RRSV, SRBSDV, and RBSDV were detected in ∼34.0%, ∼30.1%, and ∼0.5% of the samples, respectively. There were also differences in the geographical distributions of the four viruses. RRSV mostly occurred in southern Hainan, RGDV was mainly distributed in southwestern and northeastern Guangdong, SRBSDV was detected across southern China, and RBSDV was detected only in the northern parts of southern China. [ABSTRACT FROM AUTHOR]

African rice gall midge (AfRGM) is one of the most destructive pests of irrigated and lowland African ecologies. This study aimed to identify the quantitative trait loci (QTL) associated with AfRGM pest incidence and resistance in three independent bi-parental rice populations (ITA306xBW348-1, ITA306xTOG7106 and ITA306xTOS14519), and to conduct meta QTL (mQTL) analysis to explore whether any genomic regions are conserved across different genetic backgrounds. Composite interval mapping (CIM) conducted on the three populations independently uncovered a total of 28 QTLs associated with pest incidence (12) and pest severity (16). The number of QTLs per population associated with AfRGM resistance varied from three in the ITA306xBW348-1 population to eight in the ITA306xTOG7106 population. Each QTL individually explained 1.3 to 34.1% of the phenotypic variance. The major genomic region for AfRGM resistance had a LOD score and R2 of 60.0 and 34.1% respectively, and mapped at 111 cM on chromosome 4 (qAfrGM4) in the ITA306xTOS14519 population. The meta-analysis reduced the number of QTLs from 28 to 17 mQTLs, each explaining 1.3 to 24.5% of phenotypic variance, and narrowed the confidence intervals by 2.2 cM. There was only one minor effect mQTL on chromosome 1 that was common in the TOS14519 and TOG7106 genetic backgrounds; all other mQTLs were background specific. We are currently fine-mapping and validating the major effect genomic region on chromosome 4 (qAfRGM4). This is the first report in mapping the genomic regions associated with the AfRGM resistance, and will be highly useful for rice breeders. [ABSTRACT FROM AUTHOR]

Background: An incompatible interaction between rice ( Oryza sativa) and the Asian rice gall midge (AGM, Orseolia oryzae Wood-Mason), that is usually manifested through a hypersensitive response (HR), represents an intricate relationship between the resistant host and its avirulent pest. We investigated changes in the transcriptome and metabolome of the host ( indica rice variety: RP2068-18-3-5, RP), showing HR when attacked by an avirulent gall midge biotype (GMB1), to deduce molecular and biochemical bases of such a complex interaction. Till now, such an integrated analysis of host transcriptome and metabolome has not been reported for any rice-insect interaction. Results: Transcript and metabolic profiling data revealed more than 7000 differentially expressed genes and 80 differentially accumulated metabolites, respectively, in the resistant host. Microarray data revealed deregulation of carbon (C) and nitrogen (N) metabolism causing a C/N shift; up-regulation of tetrapyrrole synthesis and down-regulation of chlorophyll synthesis and photosynthesis. Integrated results revealed that genes involved in lipid peroxidation (LPO) were up-regulated and a marker metabolite for LPO (azelaic acid) accumulated during HR. This coincided with a greater accumulation of GABA (neurotransmitter and an insect antifeedant) at the feeding site. Validation of microarray results by semi-quantitative RT-PCR revealed temporal variation in gene expression profiles. Conclusions: The study revealed extensive reprogramming of the transcriptome and metabolome of RP upon GMB1 infestation leading to an HR that was induced by the generation and release of reactive oxygen species i.e. singlet oxygen and resulted in LPO-mediated cell death. RP thus used HR as a means to limit nutrient supply to the feeding maggots and simultaneously accumulated GABA, strategies that could have led to maggot mortality. The integrated results of transcript and metabolic profiling, for the first time, provided insights into an HR+ type of resistance in rice against gall midge. [ABSTRACT FROM AUTHOR]

Gall midges are insects specialized in maneuvering plant growth, metabolic and defense pathways for their benefit. The Asian rice gall midge and rice share such an intimate relationship that there is a constant battle for survival by either partner. Diverse responses by the rice host against the midge include necrotic hypersensitive resistance reaction, non-hypersensitive resistance reaction and gall-forming compatible interaction. Genetic studies have revealed that major R (resistance) genes confer resistance to gall midge in rice. Eleven gall midge R genes have been characterized so far in different rice varieties in India. In addition, no single R gene confers resistance against all the seven biotypes of the Asian rice gall midge, and none of the biotypes is virulent against all the resistance genes. Further, the interaction of the plant resistance gene with the insect avirulence gene is on a gene-for-gene basis. Our recent investigations involving suppressive subtraction hybridization cDNA libraries, microarray analyses, gene expression assays and metabolic profiling have revealed several molecular mechanisms, metabolite markers and pathways that are induced, down-regulated or altered in the rice host during incompatible or compatible interactions with the pest. This is also true for some of the pathways studied in the gall midge. Next generation sequencing technology, gene expression studies and conventional screening of gall midge cDNA libraries highlighted molecular approaches adopted by the insect to feed, survive and reproduce. This constant struggle by the midge to overcome the host defenses and the host to resist the pest has provided us with an opportunity to observe this battle for survival at the molecular level. [ABSTRACT FROM AUTHOR]

Background: The Asian rice gall midge (Orseolia oryzae) is a destructive insect pest of rice. Gall midge infestation in rice triggers either compatible or incompatible interactions leading to survival or mortality of the feeding maggots, respectively. In incompatible interactions, generation of plant allelochemicals/defense molecules and/or inability of the maggots to continue feeding on the host initiate(s) apoptosis within the maggots. Unraveling these molecular events, triggered within the maggots as a response to feeding on resistant hosts, will enable us to obtain a better understanding of host resistance. The present study points towards the likely involvement of a defender against apoptotic cell death gene (DAD1) in the insect in response to the host defense. Results: The cDNA coding for the DAD1 orthologue in the rice gall midge (OoDAD1) consisted of 339 nucleotides with one intron of 85 bp and two exons of 208 and 131 nucleotides. The deduced amino acid sequence of OoDAD1 showed a high degree of homology (94.6 %) with DAD1 orthologue from the Hessian fly (Mayetiola destructor) --a major dipteran pest of wheat. Southern hybridization analysis indicated that OoDAD1 was present as a single copy in the genomes of the Asian rice gall midge biotypes (GMB) 1, 4 and 4 M. In the interactions involving GMB4 with Jaya (susceptible rice host) the expression level of OoDAD1 in feeding maggots gradually increased to 3-fold at 96hai (hours after infestation) and peaked to 3.5-fold at 96hai when compared to that at 24 hai. In contrast, expression in maggots feeding on RP2068 (resistant host) showed a steep increase of more than 8-fold at 24hai and this level was sustained at 48, 72 and 96hai when compared with the level in maggots feeding on Jaya at 24hai. Recombinant OoDAD1, expressed in E. coli cells, when injected into rice seedlings induced a hypersensitive response (HR) in the resistant rice host, RP2068, but not in the susceptible rice variety, Jaya. Conclusions: The results indicate that the expression of OoDAD1 is triggered in the feeding maggots probably due to the host resistance response and therefore, is likely an important molecule in the initial stages of the interaction between the midge and its rice host. [ABSTRACT FROM AUTHOR]

The complete mitochondrial genome of the Asian rice gall midge, Orseolia oryzae (Diptera; Cecidomyiidae) was sequenced, annotated and analysed in the present study. The circular genome is 15,286 bp with 13 protein-coding genes, 22 tRNAs and 2 ribosomal RNA genes, and a 578 bp non-coding control region. All protein coding genes used conventional start codons and terminated with a complete stop codon. The genome presented many unusual features: (1) rearrangement in the order of tRNAs as well as protein coding genes; (2) truncation and unusual secondary structures of tRNAs; (3) presence of two different repeat elements in separate non-coding regions; (4) presence of one pseudo-tRNA gene; (5) inversion of the rRNA genes; (6) higher percentage of non-coding regions when compared with other insect mitogenomes. Rearrangements of the tRNAs and protein coding genes are explained on the basis of tandem duplication and random loss model and why intramitochondrial recombination is a better model for explaining rearrangements in the O. oryzae mitochondrial genome is discussed. Furthermore, we evaluated the number of iterations of the tandem repeat elements found in the mitogenome. This led to the identification of genetic markers capable of differentiating rice gall midge biotypes and the two Orseolia species investigated. [ABSTRACT FROM AUTHOR]

The Asian rice gall midge (Orseolia oryzae (Wood-Mason)) is a major insect pest in rice cultivation. Therefore, development of a reliable system for the timely prediction of this insect would be a valuable tool in pest management. In this study, occurring between the period from 2013–2018: (i) gall midge populations were recorded using a light trap with an incandescent bulb, and (ii) climatological parameters (air temperature, air relative humidity, rainfall and insulations) were measured at four intensive rice cropping agroecosystems that are endemic for gall midge incidence in India. In addition, weekly cumulative trapped gall midge populations and weekly averages of climatological data were subjected to count time series (Integer-valued Generalized Autoregressive Conditional Heteroscedastic—INGARCH) and machine learning (Artificial Neural Network—ANN, and Support Vector Regression—SVR) models. The empirical results revealed that the ANN with exogenous variable (ANNX) model outperformed INGRACH with exogenous variable (INGRCHX) and SVR with exogenous variable (SVRX) models in the prediction of gall midge populations in both training and testing data sets. Moreover, the Diebold–Mariano (DM) test confirmed the significant superiority of the ANNX model over INGARCHX and SVRX models in modeling and predicting rice gall midge populations. Utilizing the presented efficient early warning system based on a robust statistical model to predict the build-up of gall midge population could greatly contribute to the design and implementation of both proactive and more sustainable site-specific pest management strategies to avoid significant rice yield losses. [ABSTRACT FROM AUTHOR]