Project description:We explored the use of Phi in controlling the fungal pathogens Puccinia emaculata and Phakopsora pachyrhizi, the causal agents of switchgrass rust and Asian soybean rust, respectively. RNA sequencing of both the pathogens with and without treatment with Phi was conducted. Differentially expressed genes were identified in both pathogens and comparison of differentially expressed genes was made to identify commonly regulated genes by Phi. Total RNA from Phi‐treated Pe and Pp was isolated using an RNeasy plant mini kit (Qiagen). Two biological replicates were used for each treatment (12 samples). Illumina TruSeq sequencing‐by‐synthesis chemistry was used on a HiSeq 2000 platform (Illumina, https://www.illumina.com/) to generate paired‐end reads (2 × 100 bp).
Project description:To investigate the molecular mechanism of nonhost resistance of M. truncatula against soybean rust, we performed integrated tanscriptome and metabolome analyses using samples derived from M. truncatula leaves inoculated with soybean rust. To identify host signaling pathways triggered by soybean rust infection, we carried out microarray analysis to monitor the expression profiles associated with nonhost resistance including pre-invasive (12 hai) and apoplastic defense (24 hai) using Affymetrix GeneChip® Medicago Genome Array (Affymetrix).
Project description:Experimental design: 1 genotype: PI- (resistant USDA Plant Introduction (PI462312) line containing SBR Rpp3 resistance gene) 3 treatments: Virulent soybean rust (Phakopsora pachyrhizi Tw80-2) challenge, avirulent soybean rust challenge (Hw94-1) & mock infection 3 replications 6 time points: 12, 24, 72, 144, 216 and 288 hours after inoculation TOTAL: 54 Affymetrix GeneChip(R) Soybean Genome Arrays Mock treatment: 0.01% Tween 20 Hawaii 94 treatment: 500,000 spores per ml in 0.01% Tween 20 Taiwan 80-2 treatment: 500,000 spores per ml in 0.01% Tween 20 ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Martijn van de Mortel (for Steve Whitham). The equivalent experiment is GM36 at PLEXdb.]
Project description:Experimental design: 1 genotype: PI- (resistant USDA Plant Introduction (PI462312) line containing SBR Rpp3 resistance gene) 3 treatments: Virulent soybean rust (Phakopsora pachyrhizi Tw80-2) challenge, avirulent soybean rust challenge (Hw94-1) & mock infection 3 replications 6 time points: 12, 24, 72, 144, 216 and 288 hours after inoculation TOTAL: 54 Affymetrix GeneChip(R) Soybean Genome Arrays Mock treatment: 0.01% Tween 20 Hawaii 94 treatment: 500,000 spores per ml in 0.01% Tween 20 Taiwan 80-2 treatment: 500,000 spores per ml in 0.01% Tween 20 ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Martijn van de Mortel (for Steve Whitham). The equivalent experiment is GM36 at PLEXdb.]
Project description:Expression profiling in Rpp2-resistant (PI230970) and susceptible (Embrapa-48) plant lines to soybean rust from infection to symptom development
Project description:Eucalyptus rust is caused by the biotrophic fungus, Austropuccinia psidii, which affects commercial plantations of Eucalyptus, a major raw material for the pulp and paper industry in Brazil. Aiming to uncover the molecular mechanisms involved in rust resistance and susceptibility in Eucalyptus grandis, we used epifluorescence microscopy to follow the fungus development inside the leaves of two contrasting half-sibling genotypes (rust-resistance and rust-susceptible), to determine the time-course for comparative metabolomic and proteomic analyses in plantlets artificially inoculated with rust. Within 24 hours of complete fungal invasion, a total of 709 plant metabolites showed that the rust-resistant genotype suppressed many metabolites 6 hours after inoculation (hai), with responses being progressively induced after 12 hai. In contrast, the rust-susceptible genotype displayed an alternated metabolite response to infection, which culminated in a strong suppression at 24 hai. Multivariate analyses of genotypes and time points were used to select 16 differential metabolites chemically classified as flavonoids, benzenoids and other compounds. Applying the Weighted Gene Co-Expression Network Analysis (WGCNA), rust-resistant and rust-susceptible genotypes had, respectively, 871 and 852 proteins grouped into 14 and 13 modules, of which 10 and 7 protein modules were significantly correlated to the selected metabolites. Functional analyses revealed roles for oxidative-dependent responses leading to temporal activity of metabolites and proteins after 12 hai in rust-resistance, while the initial over-accumulation of metabolites and correlated proteins caused a lack of progressive response after 12 hai in rust-susceptible genotype. This study provides a brief understand on the temporal divergences of resistant and susceptible molecular responses of E. grandis plants to rust.
