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

Next Generation Sequencing Facilitates Quantitative Analysis of Solanum lycopersicum Axillary bud Transcriptomes

Project description:RNA sequencing in tomato for detect mRNA expression of Solanum lycopersicum Axillary bud.The two cultivars (monomaker, raceme) at Axillary bud for transcriptome sequencing

2021-12-31 | GSE164164 | GEO

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