Unknown,Transcriptomics,Genomics,Proteomics

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Identification of molecular factors explaining decreased hypocotyl growth at low temperature

ABSTRACT: affy_hypoctemp_medicago - The characterization of several genotypes of the model Legume Medicago truncatula showed a genetic variability for germination and hypocotyl heterotrophic growth at low temperature and optimal temperature. The most important contrast was between the accessions Jemalong A17 and F83005.5. In order to find genes differently expressed between temperatures and genotypes, the present work focuses on transcriptome profiling during hypocotyl heterotrophic growth under low (10°C) and optimal (20°C) temperature conditions for both genotypes. We used Jemalong A17 and F83005.5 seeds coming from the Medicago truncatula Biological Resource Center in Montpellier, produced in 2006. Experiments were performed in the dark to mimic pre-emergence growth. Pots (6.5 cm diameter, 10 cm high) were incubated in growth chambers either at 10°C or 20°C. They were filled with 500g sand and 100ml of a nutrient solution for young seedlings growth (Saglio and Pradet, 1980). Per pot, five scarified seeds were sown at 1.5 cm depth. Seedlings were harvested at three times: 35°Cd (degree day), 50°Cd and 100°Cd. At each timepoint, about 50 seedlings were harvested and hypocotyl lengths was measured. Hypocotyl were cut and immediately frozen in liquid nitrogen for RNA extractions. Time course of 24 arrays - Medicago

ORGANISM(S): Medicago truncatula

SUBMITTER: sandrine balzergue

PROVIDER: E-GEOD-18449 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Gene-to-gene coexpression analysis is a powerful approach to infer function of uncharacterized genes. To perform non-targeted coexpression analysis of tomato genes, we collected a developmental gene expression dataset using various tissues of tomato plant. Expression data are collected from 24 different tissue types including root, hypocotyl, cotyledon, leaf at different stages, and fruit tissues at 4 different ripening stages from 4 different Solanum lycopersicum cultivars. Fruits were separated to the flesh and the peel. These two tissue types indeed showed remarkably different gene expression profiles. We also collected data from 4 different ripening stages (mature green, yellow, orange, and red) to detail the changes during ripening. By using this gene expression dataset, we calculated pair-wise Pearsonâs correlation coefficients, and performed network-based coexpression analysis. The analysis generated a number of coexpression modules, some of which showed an enrichment of genes associated with specific functional categories. This result will be useful in inferring functions of uncharacterized tomato genes, and in prioritizing genes for further experimental analysis. We used Affymetrix GeneChip Tomato genome Arrays to detail the global gene expression change using 24 different tomato tissue types (67 hybridizations). We collected gene expression data from 24 different tomato tissue types using 67 hybridizations. Root, hypocotyl, cotyledon, and leaf were sampled from 3-week-old or 5-weekâold plant of Solanum lycopersicum cultivar Micro-Tom. Fruit tissues were sampled from S. lycopersicum cultivars Micro-Tom, Anthocyanin fruit (Aft, LA1996), Line27859, and Momotaro 8 (Takii, Japan). From Micro-Tom fruit, the peel and the flesh were separately sampled from 4 different ripening stages: mature green (MG, approximately 30 day after anthesis), yellow (Y, approximately 35 days after anthesis), orange (O, approximately 38-40 days after anthesis), and red (R, approximately 45-48 days after anthesis). From fruits of Aft and Line27859, the peel and the flesh were sampled at mature green (MG, approximately 40 days after anthesis) and red (R, approximately 50-55 days after anthesis) stages. From Momotaro 8, the peel and the flesh were sampled at red (R, 50- approximately 50-55 days after anthesis) stages. For each tissue type, 2-4 biological replicates were made in RNA preparation.

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Identification of molecular factors explaining decreased hypocotyl growth at low temperature

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