Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Infection of apple by Apple stem grooving virus leads to extensive alterations in gene expression patterns but no disease symptoms

ABSTRACT: To understand the molecular basis of viral diseases, transcriptome profiling has been widely used to correlate host gene expression change patterns with disease symptoms during viral infection in many plant hosts. We used infection of apple by Apple stem grooving virus (ASGV), which produces no disease symptoms, to assess the significance of host gene expression changes in disease development. We specifically asked the question whether such asymptomatic infection is attributed to limited changes in host gene expression. Using RNA-seq, we identified a total of 184 up-regulated and 136 down-regulated genes in apple shoot cultures permanently infected by ASGV in comparison with virus-free shoots cultures. As in most plant hosts showing disease symptoms during viral infection, these differentially expressed genes encode known or putative proteins involved in cell cycle, cell wall biogenesis, response to biotic and abiotic stress, development and fruit ripening, phytohormone function, metabolism, signal transduction, transcription regulation, translation, transport, and photosynthesis. Our data suggest that current approaches to correlate host gene expression changes under viral infection conditions to specific infection processes or disease symptom development, based on the interpretation of individual gene functions, have severe limitations. Integrative approaches that can take into account plant development stages, gene threshold levels as well as compensatory, synergistic and antagonistic effects may be necessary to develop a sound systems understanding of the biological significance of host gene expression changes during infection.

ORGANISM(S): Malus domestica

PROVIDER: GSE53825 | GEO | 2014/04/17

SECONDARY ACCESSION(S): PRJNA233486

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Infection of apple by Apple stem grooving virus leads to extensive alterations in gene expression patterns but no disease symptoms

Project description:To understand the molecular basis of viral diseases, transcriptome profiling has been widely used to correlate host gene expression change patterns with disease symptoms during viral infection in many plant hosts. We used infection of apple by Apple stem grooving virus (ASGV), which produces no disease symptoms, to assess the significance of host gene expression changes in disease development. We specifically asked the question whether such asymptomatic infection is attributed to limited changes in host gene expression. Using RNA-seq, we identified a total of 184 up-regulated and 136 down-regulated genes in apple shoot cultures permanently infected by ASGV in comparison with virus-free shoots cultures. As in most plant hosts showing disease symptoms during viral infection, these differentially expressed genes encode known or putative proteins involved in cell cycle, cell wall biogenesis, response to biotic and abiotic stress, development and fruit ripening, phytohormone function, metabolism, signal transduction, transcription regulation, translation, transport, and photosynthesis. Our data suggest that current approaches to correlate host gene expression changes under viral infection conditions to specific infection processes or disease symptom development, based on the interpretation of individual gene functions, have severe limitations. Integrative approaches that can take into account plant development stages, gene threshold levels as well as compensatory, synergistic and antagonistic effects may be necessary to develop a sound systems understanding of the biological significance of host gene expression changes during infection. Compare the transcript profiling of ASGV-infected asymptomatic apple planlets (AP-Vinfect) and virus-free apple plantlets (AP-Vfree) by deep sequencing using Illumina RNA-Seq to check whether lots of genes were modulated by ASGV infection.

2014-04-17 | E-GEOD-53825 | biostudies-arrayexpress

Time series transcriptome of Venturia inaequalis (apple scab) infecting Malus domestica (apple)

Project description:V. inaequalis causes apple scab disease, the most economically important disease of apples. In this study, we generated a comprehensive RNA-seq transcriptome of V. inaequalis during host colonization of apple, with six in planta time points (12hpi, 24hpi, 2dpi, 3dpi, 5dpi, 7dpi) and one in culture reference (fungus grown on cellophane membranes overlaying potato dextrose agar). Analysis of this transcriptome identified five in planta gene expression clusters or waves corresponding to three specific infection stages: early, mid and mid-late infection of subcuticular biotrophic host-colonization. In our analysis we focus on general fungal nutrition (plant cell wall degrading enzymes and transporters) as well as effectors (proteinaceous effectors and secondary metabolites). Early infection was characterized by the expression of genes that encode plant cell wall-degrading enzymes (PCWDEs) and proteins associated with oxidative stress responses. Mid-late infection was characterized by genes that encode PCWDEs and effector candidates (ECs).

2022-03-14 | GSE198244 | GEO

Ontogenic Resistance in Apple

Project description:Ontogenic scab resistance in apple leaves and fruits is a horizontal resistance against the plant pathogen VenturiaM- inaequalis and is expressed as decrease of disease symptoms and incidence with the ageing of the leaves. Several studies at biochemical level tried to unveil the nature of this resistance, however without any conclusive results. We decided therefore to investigate the genetic origin of this phenomenon by performing a full quantitative trascriptome sequencing and comparison of young (susceptible) and old (ontogenic resistant) leaves, infected or not with the pathogen. Two time points at 72 and 96 hours post inoculation were chosen for RNA sampling and sequencing. Comparison between the different conditions (young and old leaves, inoculated or not) should allow finding genes differentially expressed which may represent different induced plant defense reaction leading to ontogenic resistance or be the cause for a constitutive (not inoculated with the pathogen) shift toward resistance in old leaves. Differentially expressed genes were then characterized for their function by homology to A.M- thaliana and other plantsM-^R genes, particularly looking for genes involved in pathways already suspected of appertaining to ontogenic resistance in apple or other hosts, or to plant defense mechanisms in general.

2013-11-18 | E-MTAB-1726 | biostudies-arrayexpress

Novel apple miRNAs and their possible involvement in Fire Blight defense

Project description:Fire blight (FB) is a bacterial disease affecting plants from Rosaceae family, including apple and pear. FB develops after the infection of Erwinia amylovora, gram-negative enterobacterium, and results in burnt-like damages and wilting, which can affect all organs of the plant. Although the mechanisms underlying disease response in apples are not elucidated yet, it has been well described that FB resistance depends on the rootstock type. The main objective of this work was to identify miRNAs involved in response to bacterial infection in order to better explain apple defense mechanisms against fire blight disease. We performed deep sequencing of eighteen small RNA libraries obtained from inoculated and non-inoculated Gala apple leaves. 233 novel plant mature miRNAs were identified together with their targets and potential role in response to bacterial infection. We identify three apple miRNAs responding to inoculation (mdm-miR168a,b, mdm-miR194C and mdm-miR1392C) as well as miRNAs reacting to bacterial infection in a rootstock-specific manner (miR395 family). Our results provide insights into the mechanisms of fire blight resistance in apple.

2016-08-28 | GSE72346 | GEO

microRNAs and their targets engage in apple-Valsa mali interaction

Project description:miRNAs were important regulators involving in plant-pathogen interactions. However, their roles in apple response to Valsa canker pathogen (Valsa mali, Vm) infection were poorly understood. In this study, we constructed two miRNA libraries using the bark tissues of apple twig (Malus domestica Borkh “Fuji”) inoculated with Vm (IVm) and PDA medium (control, BMd). Among the all miRNAs, 23 miRNAs were specifically isolated in BMd and 39 miRNAs were specifically isolated in IVm. Compared with BMd, the expression of 294 miRNAs decreased, and 172 miRNAs increased in IVm, respectively. We also identified the target genes of these miRNAs using degradome sequencing technology. In total, 353 differentially expressed miRNAs during the pathogen infection were detected to target 1 077 unigenes with 2 251 cleavage sites. Based on GO and KEGG analysis, the genes were found to be mainly related to transcription regulation and signal transduction. We further selected 17 miRNAs and 22 corresponding target genes to detect the expression profiles during pathogen infection. The results indicate that most of them are involved in apple twig-Vm interaction. What’s more, miRNAs and their corresponding target genes seem to regulate the apple twig-Vm interaction by forming many complicated regulation networks. It is worth that a conserved miRNAs mdm-miR482b, which was down regulated in IVm compared with BMd, has 14 potential target genes, and most of them were disease resistance related genes. More important, the feedback regulation of sRNA pathway in apple twig was much more complex and critical in the interaction between apple bark tissue and V. mali. The results provide insights into the crucial functions of miRNAs in the woody plant, apple tree-Vm interaction.

2017-10-11 | GSE104752 | GEO

Comparative transcriptome analysis of a lowly virulent strain of Erwinia amylovora in shoots of two apple cultivars susceptible and resistant to fire blight.

Project description:The aim of our study was to decipher differences in the response of a lowly virulent E. amylovora strain to infection of susceptible and resistant apple cultivars at the transcriptome level. For this purpose, we applied an RNA-seq technique to see the global changes in gene expression of E. amylovora while interacting with two apple cultivars at two time points after inoculation of shoots. Additionally, we compared transcriptomes of E. amylovora growing on a microbiological medium and in planta to elucidate transcriptional changes in bacterial cells induced by the host plant environment.

2018-05-01 | E-MTAB-5630 | biostudies-arrayexpress

Real-time quantitative PCR analysis of apple roots and leaves after ARD infection

Project description:Root and leave samples of 4 different apple genotypes were investigated in order to analyse the gene expression after infection with Apple Replant Disease (ARD). All genotypes were cultivated in ARD-infected soil and gamma-irradiated (disinfected) soil in the greenhouse for 7 days. The ARD soil originated from two different orchards representing two different soil compositions. After 7 days root tissue was collected from each plant and used for the subsequent gene expression analysis. This work was part of the project BonaRes-ORDIAmur funded by the German Federal Ministry of Research and Education within the frame of the program BonaRes (grant no. 031B0025B). It was also funded by the German Research Foundation (DFG) via the research training group GRK1798 "Signaling at the Plant-Soil Interface" and a grant to BL and LB (BE 1174/19-1).

2019-12-09 | GSE135081 | GEO

Flexible wood caused by altered lignin, following viral-induced suppression of phenylalanine ammonia lyase (PAL) activity. sRNA-seq

Project description:Woody plant material represents a renewable resource that has the potential to produce biofuels and/or novel materials with greatly reduced CO2 emissions. The study of viral infection in plants has largely focussed on detrimental symptoms, such as leaf yellowing or cell death that result in reduced crop yields. Apple rubbery wood (ARW) disease is the result of a viral infection that causes woody stems to exhibit increased flexibility. Biochemical and histochemical studies suggest the phenotype is a result of reduced lignification, specifically within the fibre cells of woody xylem. Expression analysis and proteomic data suggests that the downregulation of phenylalanine ammonia lyase (PAL) is responsible for decreased lignification. PAL is required for the first committed step in the phenylpropanoid pathway that leads to lignin biosynthesis. This is consistent with a large increase in soluble phenolics, including the lignin precursor phenylalanine, in symptomatic xylem. Downregulation of PAL appears to result from a widespread siRNA induction by the infected host, triggered by the virus. Symptomatic wood exhibited increased digestibility comparable to those seen in genetically engineered plants that alter lignin biosynthesis. To our knowledge this is the first example of a virus that alters lignin metabolism and offers a unique route to address the problem of the recalcitrant nature of plant biomass and a possible route to generating wood with altered mechanical properties.

2023-01-12 | E-MTAB-11409 | biostudies-arrayexpress

Flexible wood caused by altered lignin, following viral-induced suppression of phenylalanine ammonia lyase (PAL) activity. RNA-seq

2023-01-12 | E-MTAB-11410 | biostudies-arrayexpress

Expression data for apple Rvi6 host resistance and nonhost resistance against scab

Project description:Comparative analyze at the transcriptomic level 1) of Venturia inaequalis apple host resistance via the major resistance gene Rvi6, in Rvi6 overexpressing transgenic apple versus ‘Gala’ susceptible variety; 2) of Venturia pyrina apple nonhost resistance, in ‘Gala’ variety, 24 and 72 hours post inoculation.

2020-10-08 | GSE159179 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data