Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1196144 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Plant viruses rely on both host plant and vectors for a successful infection. This study investigated the global transcriptomic changes in Arabidopsis thaliana that were simultaneously exposed to both a plant virus (turnip yellows virus, polerovirus genus and Solemoviridae family) and its aphid vector (Myzus persicae). Some of these modifications in gene expression may promote in a timely manner viral transmission and dispersion.
2023-04-01 | GSE218846 | GEO
Project description:The control of insect borne disease is recognized as one of the major agricultural, animal and human health challenges of today. Viruses in the family Luteoviridae are phloem-limited, plant viruses that are vectored by aphids in a circulative manner. They are responsible for a wide-range of economically important disease in almost all staple food crops. In order to be transmitted, these viruses require species-specific passage of the pathogen across several membrane barriers within the insect. After the pathogen is ingested from the sap of an infected plant, the virus moves across and through the aphid gut into the hemoceol (insect blood) where it circulates until it reaches and enters the main or accessory salivary glands. From here, the pathogen is injected into a new plant host when the aphid feeds. The identification of insect proteins that interact with circulative plant viruses is technically challenging and a major goal for the plant vector biology field. Such information is critical to develop novel control strategies that block virus transmission by insects. In this study, we used affinity purification-high-resolution mass spectrometry (AP-MS) to rapidly capture and identify aphid proteins in complex with Potato leafroll virus (PLRV), a luteovirid transmitted by the green peach aphid (Myzus persicae), directly from viruliferous aphid tissue.
2021-05-27 | PXD022167 | Pride
Project description:<p><strong>INTRODUCTION:</strong> The aphid Rhopalosiphum padi L. is a vector of Barley yellow dwarf virus (BYDV) in wheat and other economically important cereal crops. Increased atmospheric CO2 has been shown to alter plant growth and metabolism, enhancing BYDV disease in wheat. However, the biochemical influences on aphid metabolism are not known.</p><p><strong>OBJECTIVES:</strong> This work aims to determine whether altered host-plant quality, influenced by virus infection and elevated CO2, impacts aphid weight and metabolism.</p><p><strong>METHODS:</strong> Untargeted 1H NMR metabolomics coupled with multivariate statistics were employed to profile the metabolism of R. padi reared on virus-infected and non-infected (sham-inoculated) wheat grown under ambient CO2 (aCO2, 400 µmol mol−1) and future, predicted elevated CO2 (eCO2, 650 µmol mol−1) concentrations. Un-colonised wheat was also profiled to observe changes to host-plant quality (i.e., amino acids and sugars).</p><p><strong>RESULTS:</strong> The direct impacts of virus or eCO2 were compared. Virus presence increased aphid weight under aCO2 but decreased weight under eCO2; whilst eCO2 increased non-viruliferous (sham) aphid weight but decreased viruliferous aphid weight. Discriminatory metabolites due to eCO2 were succinate and sucrose (in sham wheat), glucose, choline and betaine (in infected wheat), and threonine, lactate, alanine, GABA, glutamine, glutamate and asparagine (in aphids), irrespective of virus presence. Discriminatory metabolites due to virus presence were alanine, GABA, succinate and betaine (in wheat) and threonine and lactate (in aphids), irrespective of CO2 treatment.</p><p><strong>CONCLUSION:</strong> This study confirms that virus and eCO2 alter host-plant quality, and these differences are reflected by aphid weight and metabolism.</p>
2019-01-16 | MTBLS622 | MetaboLights
Project description:Soybean aphid is one of the major limiting factors for soybean production. However, the mechanism for aphid resistance in soybean is remain enigmatic, very little information is available about the different mechanisms between antibiosis and antixenosis genotypes. Here we dissected aphid infestation into three stages and used genome-wide gene expression profiling to investigate the underlying aphid-plant interaction mechanisms. Approximately 990 million raw reads in total were obtained, the high expression correlation in each genotype between infestation and non-infestation indicated that the response to aphid was controlled by a small subset of important genes. Moreover, plant response to aphid infestation was more rapid in resistant genotypes. Among the differentially expressed genes (DEGs), a total of 901 transcription factor (TF) genes categorized to 40 families were identified with distinct expression patterns, of which AP2/ERF, MYB and WRKY families were proposed to playing dominated roles. Gene expression profiling demonstrated that these genes had either similar or distinct expression patterns in genotypes. Besides, JA-responsive pathway was domination in aphid-soybean interaction compared to SA pathway, which was not involved plant response to aphid in susceptible and antixenotic genotypes but played an important role in antibiosis one. Throughout, callose were deposited in all genotypes but it was more rapidly and efficiently in antibiotic one. However, reactive oxygen species were not involved in response to aphid attack in resistant genotypes during aphid infestation. Our study helps uncover important genes associated with aphid-attack response in antibiosis and antixenotic genotypes of soybean.
2020-08-26 | GSE141720 | GEO
Project description:70mer probes were designed to detect plant viruses infection in genus level. This microarray platform is able to detect 169 plant virus species of 13 virus genera.
2010-06-30 | GSE15837 | GEO
Project description:70mer probes were designed to detect plant viruses infection in genus level. This microarray platform is able to detect 169 plant virus species of 13 virus genera. Virus sampels were extracted from infected plant hosts. Genomic RNA was extracted and hybridized to the microarray.
2010-06-30 | E-GEOD-15837 | biostudies-arrayexpress
Project description:Airway Epithelial Cell Response to Sendai virus infection
2014-07-03 | E-GEOD-10211 | ExpressionAtlas