Project description:The goal of this study was to perform RNA-seq expression analysis on Solanum lycopersicum cv. M82 X S. pennellii introgression lines, deriving expression Quantitative Trait Loci which were analyzed together with pre-existing genomic and phenotypic data to define genes and regulatory pathways controlling tomato root development and observed natural variation. We completed the RNAseq expression profiling analysis and developed a tool to display this information graphically in collaboration with Nicholas Provart at the University of Toronto: http://bar.utoronto.ca/efp_tomato/cgi-bin/efpWeb.cgi?dataSource=ILs_Root_Tip_Brady_Lab To identify candidate genes and pathways we focussed on one root growth trait, root growth angle, and identified two statistically significant genomic regions within tomato root growth angle QTL containing two candidate genes that likely control the gravitropic setpoint angle (CDC73 and PAP27), both of which are conserved between Arabidopsis and tomato, and which we tested using transgenic lines of the Arabidopsis orthologs. A possible regulatory role for suberin in root growth angle control was also identified.
Project description:To characterize the PTI response of tomato and the effect of the delivery of a subset of effectors, we performed an RNA-seq analysis of tomato Rio Grande prf3 leaves challenged with either the flgII-28 peptide or the following bacterial strains: Agrobacterium tumefaciens GV2260, Pseudomonas fluorescens 55, Pseudomonas putida KT2440, Pseudomonas syringae pv. tomato (Pst) DC3000, Pst DC3000 deltahrcQ-U deltafliC and Pst DC3000 deltaavrPto deltaavrPtoB. NOTE: Samples in SRA were assigned the same sample accession. This is incorrect as there are different samples, hence âSource Nameâ was replaced with new values. Comment[ENA_SAMPLE] contains the original SRA sample accessions.
