Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

VIROME OF PEACH TREES IDENTIFIED BY SMALL RNA HTS IN HUNGARY

ABSTRACT: Virus elimination is indispensable for the maintenance of stone fruit plantations, because these pathogens can cause serious crop damage and crop losses. Currently we do not possess efficient plant protection methods against viruses therefore prevention has a prominent role. In order to prevent infections, pathogen-free propagation material production and application of effective diagnostic methods have essential role. Our examined peach samples derived from isolator houses and stock nurseries of Fruitculture Research Institute of NARIC. With the help of highly sensitive metagenomic diagnostic methods: such as next generation sequencing of small RNAs, we are able to detect all of the presenting pathogens within our samples. During preparation steps, total RNA was isolated from leaf samples, RNA pools were made from the varieties, and then small RNA libraries were prepared. Sequencing was performed on Illumina platform and we used CLC Genomics Workbench for the bioinformatics evaluation. Results were verified by RT-PCR and Northern-blot. PCR products were cloned into pJET vector and Sanger sequenced. As a result, we detected nectarine stem pitting-associated virus (NSPaV), peach associated luteovirus (PaLV) and also peach latent mosaic viroid (PLMVd) which presence has to be checked regularly. Moreover we proved the incidence of PLMVd and PaLV first time in Hungary. We suspect, that the source of the viral infection might be the propagation material, which was used as a base for the variety collection in this isolator house.

ORGANISM(S): Prunus persica

PROVIDER: GSE130859 | GEO | 2022/06/29

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

small RNA NGS based diagnostic survey of Hungarian grapevine rootstock plantations

Project description:Several pathogens infect grapevine, including viruses and viroids. Considering that there are no effective plant protection treatments against these pathogens and vineyards are cultivated through decades usage of high quality and pathogen-free propagation material (rootstocks and scions) is essential. Although presence of regulated pests is routinely checked using ELISA or rarely RT-PCR, these diagnostics methods can detect only particular pathogens moreover can fail to detect variant strains. High-throughput sequencing of small RNAs can be an effective, alternative method to avoid these disadvantages. Since for production of grafts, pathogen free cultivars and rootstocks must be used, 17 grapevine rootstock plantations and 2 rootstock variety collections were selected for characterisation of their virom by high throughput sequencing of virus derived small RNAs.

2020-02-24 | GSE130994 | GEO

smallRNA NGS revealed the presence of CVA and LCHV1 on apricot in Hungary

Project description:Fruit trees, as apricots, can be infected by and are constantly exposed to the attack of viruses. As they are propagated on a vegetative way, this risk is present not only at the field, where they exists for decades, but also during propagation. Metagenomic diagnostic methods, based on next generation sequencing, offer unique possibilities to reveal all the presenting pathogens in the investigated sample. Using small RNA NGS, a special fields of this technique, we tested leaf samples of different varieties of apricot in isolator house and at open air stock nursery. As a result, we identified Cherry Virus A (CVA) and Little Cherry Virus1 (LChV1) first time in Hungary. Gained results were validated by RT-PCR and also by Northern blot in the case of CVA. Cloned and Sanger sequenced viral PCR products enabled us to investigate their phylogenetic relationships. Our results demonstrate, that small RNA NGS can offer a sensitive virus diagnostics method, moreover beside obligatory tested viruses we could detect CVA and LChV1. However as these pathogens haven’t been described in our country before, their role in symptom development and modification during coinfection with other viruses requires further investigations.

2018-06-20 | GSE114251 | GEO

Metagenomic Deep Sequencing in Meningitis and Encephalitis

Project description:<p>This is a prospective observational study seeking to identify pathogens in cases of unexplained neurological disease, particularly those in which there is a presumed infectious cause. This next generation analytical approach will hopefully allow for rapid identification of foreign genomic material, and through a sophisticated bioinformatics pipeline developed in the DeRisi lab, these foreign genomic sequences can be aligned to all known sequences in publicly available databases (i.e. GenBank) which may allow for identification of novel pathogens or known pathogens that are not frequently tested for as part of standard diagnostic work-ups.</p>

| phs001067 | dbGaP

The Microbial Detection Array Combined with Random Phi29-Amplification used as a Diagnostic Tool for Unbiased Virus Detection in Clinical Samples

Project description:A common technique used for sensitive and specific diagnostic virus detection in clinical samples is PCR. However, an unbiased diagnostic microarray containing probes for all human pathogens could replace hundreds of individual PCR-reactions and remove the need for a clear clinical hypothesis regarding a suspected pathogen. We have established such a diagnostic platform for unbiased random amplification and subsequent microarray identification of viral pathogens in clinical samples. We show that Phi29 polymerase-amplification of a diverse set of clinical samples generates enough viral material for successful identification by the Microbial Detection Array developed at the Lawrence Livermore National Laboratory, California, USA, demonstrating the potential of the microarray technique for broad-spectrum pathogen detection. We conclude that this method detects both DNA and RNA virus, present in the same sample, as well as differentiates between different virus subtypes. We propose this assay for unbiased diagnostic analysis of all viruses in clinical samples.

2011-04-14 | GSE28597 | GEO

New approaches to the production of certified varieties of apple trees using NGS diagnostics of pathogens

Project description:Implementation and evaluation of tests (PCR, ELISA, NGS) for the presence of viruses, viroids and phytoplasma in propagation materials of apple. Research and application of new sanitation techniques using promising antiviral substances, or cryo-knife. Confirmation of health status of sanitated cultivars including use of modern diagnostic methods such as high-throughput sequencing (NGS).

2022-12-09 | GSE205183 | GEO

The Microbial Detection Array Combined with Random Phi29-Amplification used as a Diagnostic Tool for Unbiased Virus Detection in Clinical Samples

2011-04-14 | E-GEOD-28597 | biostudies-arrayexpress

Gene expression dataset for nursery-reared Staghorn coral (Acropora cervicornis) under thermal stress

Project description:Publication Abstract: As climate changes, sea surface temperature anomalies that negatively impact coral reef organisms continue to increase in frequency and intensity. Yet, despite widespread coral mortality, genetic diversity remains high even in those coral species listed as threatened. While this is good news in many ways it presents a challenge for the development of biomarkers that can identify resilient or vulnerable genotypes. Taking advantage of three coral restoration nurseries in Florida that serve as long-term common garden experiments, we exposed over thirty genetically distinct Acropora cervicornis colonies to hot and cold temperature shocks seasonally and measured pooled gene expression responses using RNAseq. Targeting a subset of twenty genes, we designed a high-throughput qPCR array to quantify expression in all individuals separately under each treatment with the goal of identifying predictive and/or diagnostic thermal stress biomarkers. We observed extensive transcriptional variation in the population, suggesting abundant raw material is available for adaptation via natural selection. However, this high variation made it difficult to correlate gene expression changes with colony performance metrics such as growth, mortality, and bleaching susceptibility. Nevertheless, we identified several promising diagnostic biomarkers for acute thermal stress that may improve coral restoration and climate change mitigation efforts in the future.

2017-12-21 | GSE108338 | GEO

Millet can be infected with several viruses if grown as a weed on crop fields

Project description:Millet is a dangerous weed in Hungary. Lack of seed dormancy helps it to spread easily and be present at maize, wheat and other crop fields. Our previous report revealed the possibility that millet can also play a role as a virus reservoir. In that study we detected the presence of several viruses in millet using DAS ELISA. Because serological methods can only detect the presence of the investigated particular pathogens, we suspected that other, previously unknown viruses can also be present in this weed. To investigate this theory, we randomly sampled two locations and collected millets showing stunting, chlorosis, and striped leaves and investigated the presence of viruses using small RNA HTS as a diagnostic method. Our result confirmed the widespread presence of wheat streak mosaic virus at both locations. Moreover, barley yellow striate mosaic virus and barley virus G were also identified, which have not been described from Hungary before. As these viruses can cause severe diseases on wheat, their presence on a weed mean a potential infection risk. Our study indicates that the presence of millets on the fields needs a special control in order to prevent emergence of new diseases at crop fields.

2020-08-24 | GSE147185 | GEO

small RNA NGS based diagnostic survey of Hungarian grapevine rootstock plantations

Project description:small RNA NGS based diagnostic survey of Hungarian grapevine rootstock plantations

| PRJNA542259 | ENA

blood metagenome

Project description:Comparison of methods for blood pathogens detection

| PRJNA693402 | ENA