ArticleThe Plant cell2007
Natural variation in RPS2-mediated resistance among Arabidopsis accessions: correlation between gene expression profiles and phenotypic responses.
Article in The Plant cell, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 42 citations in OpenAlex.
- Genome-wide association analysis reveals genes controlling an antagonistic effect of biotic and osmotic stress on Arabidopsis thaliana growth.Molecular plant pathology · 2024Article
- Quantification of Plant Cell Death by Electrolyte Leakage Assay.Bio-protocol · 2018Article
- Mechanisms to Mitigate the Trade-Off between Growth and Defense.The Plant cell · 2017Review
- Arabidopsis thaliana methionine sulfoxide reductase B8 influences stress-induced cell death and effector-triggered immunity.Plant molecular biology · 2017Article
- Integration of Experiments across Diverse Environments Identifies the Genetic Determinants of Variation in Sorghum bicolor Seed Element Composition.Plant physiology · 2016Article
- Modulation of R-gene expression across environments.Journal of experimental botany · 2016Article
- Potassium Retention under Salt Stress Is Associated with Natural Variation in Salinity Tolerance among Arabidopsis Accessions.PloS one · 2015Article
- Dissecting the phenotypic components of crop plant growth and drought responses based on high-throughput image analysis.The Plant cell · 2014Article
- Transcriptomic and physiological variations of three Arabidopsis ecotypes in response to salt stress.PloS one · 2013Article
- Rosette iron deficiency transcript and microRNA profiling reveals links between copper and iron homeostasis in Arabidopsis thaliana.Journal of experimental botany · 2012Article
- Maladaptation in wild populations of the generalist plant pathogen Pseudomonas syringae.Evolution; international journal of organic evolution · 2011Article
- Natural variation in priming of basal resistance: from evolutionary origin to agricultural exploitation.Molecular plant pathology · 2010Review
- Network modeling reveals prevalent negative regulatory relationships between signaling sectors in Arabidopsis immune signaling.PLoS pathogens · 2010Article
- Natural variation of transcriptional auxin response networks in Arabidopsis thaliana.The Plant cell · 2010Article
- Multiple gene loci affecting genetic background-controlled disease resistance conferred by R gene Xa3/Xa26 in rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2009Article
- Multidisciplinary approach to unravelling the relative contribution of different oxylipins in indirect defense of Arabidopsis thaliana.Journal of chemical ecology · 2009Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural variation in gene expression (expression traits or e-traits) is increasingly used for the discovery of genes controlling traits. An important question is whether a particular e-trait is correlated with a phenotypic trait. Here, we examined the correlations between phenotypic traits and e-traits among 10 Arabidopsis thaliana accessions. We studied defense against Pseudomonas syringae pv tomato DC3000 (Pst), with a focus on resistance gene-mediated resistance triggered by the type III effector protein AvrRpt2. As phenotypic traits, we measured growth of the bacteria and extent of the hypersensitive response (HR) as measured by electrolyte leakage. Genetic variation among accessions affected growth of Pst both with (Pst avrRpt2) and without (Pst) the AvrRpt2 effector. Variation in HR was not correlated with variation in bacterial growth. We also collected gene expression profiles 6 h after mock and Pst avrRpt2 inoculation using a custom microarray. Clusters of genes whose expression levels are correlated with bacterial growth or electrolyte leakage were identified. Thus, we demonstrated that variation in gene expression profiles of Arabidopsis accessions collected at one time point under one experimental condition has the power to explain variation in phenotypic responses to pathogen attack.
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