Project description:Sl2183 is an updated version of the previous tomato metabolic model (iHY3410), with additional reactions and metabolites, IDs converted into the BiGG nomenclature and biomass reactions for leaf, stem and root, allowing to generate a multi-organ model (see Gerlin et al., Plant Physiol. for additional information).
2022-04-07 | MODEL2111120001 | BioModels
Project description:Inter-root soil microbiome of tomato
| PRJNA1200586 | ENA
Project description:Root and rhizosphere microbiome of tomato plants
Project description:The aim of this work was to study the effects of Fe and Mn deficiencies and Mn toxicity on the protein profile of the root of tomato (Solanum lycopersicum), with the aim of elucidating plant response mechanisms to these nutritional stresses. Tomato was chosen as a model plant because the tomato genome has been published. The high-throughput shotgun analysis has permitted to identify and quantitate a large number of low abundance proteins in the tomato root. Protein identification was carried out using the Mascot search engine and the non-redundant databases NCBInr and ITAG v2.3.
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.
2018-01-01 | GSE87162 | GEO
Project description:Tomato Root Microbiome (16S Sequencing) with Biostimulant Supplementation
Project description:To investigate and compare the influence of root exudates of tomato and maize on Pseudomonas donghuensis P482, we have grown the strain up to a stationary phase in M9 0.4% glucose medium supplemented with maize exudates (Maize), tomato exudates (Tomato) or without supplementation (Control). We then performed differential gene expression analysis, identifying changes in transcriptome profiles between each treatment (Tomato, Maize) and the Control as reference conditions, and between the two treatments.
Project description:Flavonoids are stress-inducible metabolites important for plant-microbe interactions. In contrast to their well-known function in initiating rhizobia nodulation in legumes, it is unclear whether and how flavonoids may contribute to plant stress resistance through affecting non-nodulating bacteria in the root microbiome. Here we show how flavonoids preferentially attracts Aeromonadaceae in Arabidopsis thaliana root microbiome and how flavonoid-dependent recruitment of an Aeromona spp. results in enhanced plant Na_H1 resistance.
Project description:Flavonoids are stress-inducible metabolites important for plant-microbe interactions. In contrast to their well-known function in initiating rhizobia nodulation in legumes, it is unclear whether and how flavonoids may contribute to plant stress resistance through affecting non-nodulating bacteria in the root microbiome. Here we show how flavonoids preferentially attracts Aeromonadaceae in Arabidopsis thaliana root microbiome and how flavonoid-dependent recruitment of an Aeromona spp. results in enhanced plant drought resistance.
Project description:RNASeq of roots from two genotypes of Arabidopsis thaliana plants, Col-0 and myb36-2 grown axenically or with a 41 member bacterial Synthetic Community (SynCom) to explore the interaction between the root diffusion barriers and the root microbiome.
