Project description:For transcript analysis of early hypersensitive and susceptible responses of Medicago truncatula to the powdery mildew pathogen, Erysiphe pisi, we compared transcripts from pathogen-inoculated and control (non-inoculated) plants 12 h after infection in resistant (A14), partially resistant (A20), and susceptible (DZA315.16) genotypes. Published in: Medicago truncatula to the powdery mildew 1 and anthracnose pathogens, Erysiphe pisi and Colletotrichum trifolii. Molecular Plant Pathology 8(3):307-319 Keywords: 1 time points and 3 genotypes

2007-01-25 | GSE6840 | GEO

Analysis of Erysiphe pisi proteome

Project description:Erysiphe pisi causes powdery mildew disease in garden pea. It is a biotrophic ascomycete member necessitating a living host for its survival. An attempt to identify the global proteome of E. pisi pathogen is made using a sensitive and reliable nano LC-MS/MS approach. The protein profiling of two isolates of E. pisi; Ep01 and Ep02 varying for virulence upon testing on a commercial cultivar, Arkel led to the detection of a total of 211 and 214 distinct proteins in Ep01 and Ep03 isolates respectively. In addition, a total of 203 and 207proteins from Ep01 and Ep03 isolates respectively were found to be hypothetical or proteins with not yet predicted functions based on GO (biological process). The protein accessions detected in these isolates were categorized into functional protein classes with some of the identified proteins reported to be involved in pathogenesis or virulence. The proteins belonging to the functional classes like stress related, signal transduction and secondary metabolite formation might be involved in virulence and pathogenesis. The proteome proposed in this study would serve as a reference proteome to facilitate the understanding of the functional aspects of an obligate biotrophic fungal pathogen.

2019-04-02 | PXD010238 | Pride

Transcriptomic analysis of pea during interaction with Phytophthora pisi and Aphanomyces euteiches

Project description:This experiment captures the gene expression data from pea roots during interaction with two pathogenic oomycetes: Phytophthora pisi and Aphanomyces euteiches, at 6 hours and 20 hours after infection and the control samples at each time point. In this experiment medicago genome array is used.

2015-10-01 | E-MTAB-3748 | biostudies-arrayexpress

Erysiphe pisi

Project description:Erysiphe pisi genome sequencing project

| PRJEA50315 | ENA

plant genotype x rhizobium genotype interaction

Project description:Coevolutionary change requires reciprocal selection between interacting species, i.e., that the partner genotypes that are favored in one species depend on the genetic composition of the interacting species. Coevolutionary genetic variation is manifested as genotype ´ genotype (G ´ G) interactions for fitness from interspecific interactions. Although quantitative genetic approaches have revealed abundant evidence for G ´ G interactions in symbioses, the molecular basis of this variation remains unclear. Here we study the molecular basis of G ´ G interactions in a model legume-rhizobium mutualism using gene expression microarrays. We find that, like quantitative traits such as fitness, variation in the symbiotic transcriptome may be partitioned into additive and interactive genetic components. Our results suggest that plant genetic variation is the largest influence on nodule gene expression, and that plant genotype and the plant genotype ´ rhizobium genotype interaction determine global shifts in rhizobium gene expression that in turn feedback to influence plant fitness benefits. Moreover, the transcriptomic variation we uncover implicates regulatory changes in both species as drivers of symbiotic gene expression variation. Our study is the first to partition genetic variation in a symbiotic transcriptome, and illuminates potential molecular routes of coevolutionary change. We assayed gene expression using three biological replicates for each plant genotype × rhizobium genotype combination (4 combinations) for a total of 12 chips.

2012-05-01 | GSE29027 | GEO

Rhizobium leguminosarum sulfoquinovose metabolism

Project description:LFQ analysis of Whole bacterial lysates of Rhizobium leguminosarum growth with and with sulfoquinovose.

2020-05-25 | PXD015822 | Pride