Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Penfield: Understanding the affect of maternal environment on seed dormancy

ABSTRACT: Maternal environment is an important regultor of seed dormancy, but the mechanisms underlying the process are poorly understood. We have found that genes in the circadian clock control dormancy, in part through their regulation of the canonical photoperiod pathway known from research into flowering time control. In this experiment we compare the affects of altering seed maturation temperature or maternal photoperiod on dry seed transcriptomes, and the photoperiod-insenstive ft-1 mutant to wt type Ler. In this way we are identifying gene expression programmes which result from the seed's response to maternal environmental experience. Keywords: Expression profilling by array 12 samples were used in this experiment

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Steven Penfield

PROVIDER: E-GEOD-28747 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Induction of dormancy in Arabidopsis summer annuals requires parallel regulation of DOG1 and hormone metabolism by low temperature and CBF transcription factors.

Kendall Sarah L SL Hellwege Anja A Marriot Poppy P Whalley Celina C Graham Ian A IA Penfield Steven S

The Plant cell 20110729 7

Summer annuals overwinter as seeds in the soil seed bank. This is facilitated by a cold-induced increase in dormancy during seed maturation followed by a switch to a state during seed imbibition in which cold instead promotes germination. Here, we show that the seed maturation transcriptome in Arabidopsis thaliana is highly temperature sensitive and reveal that low temperature during seed maturation induces several genes associated with dormancy, including DELAY OF GERMINATION1 (DOG1), and influ ...[more]

PMID: 21803937

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Project description:This proposal is aimed at providing transcriptome data to underpin a long-term joint research programme of Steve Smith and Alison Smith. We are jointly studying starch synthesis and breakdown in Arabidopsis leaves, and individually studying other enzymes of carbohydrate metabolism (eg. sucrose synthases, invertases, sugar transporters). Collectively these enzymes are encoded by up to 100 known genes, but there are many others of relevance to our studies. For several years we have employed a defined set of growth conditions for this work (resulting in numerous publications). We have extensive data for changes in the amounts of starch, malto-oligosaccharides and sugars throughout the diurnal cycle in these plants, and we intend to quantitate numerous key enzymes. We now wish to profile changes in transcripts in these plants, so that this information can be correlated with changes in the amounts of key enzymes and metabolites. Analysis of the data sets will help us to relate the synthesis of certain enzymes to particular metabolic functions, and also to help identify genes encoding novel proteins involved in carbohydrate metabolism. Current research is aimed at discovering such novel proteins using proteomics approaches (BBSRC Grant: _Discovery and Functional Analysis of the Starch Proteome_). While the growth conditions (12h photoperiod, 150 umol/m2/s, 20C) and ecotype (Col-0) are specifically tailored to our experiments, they will be of value to the wider community, and could form the basis for collaborative studies with other groups. The experiment has involved sampling leaves at eleven different time points as follows: 0, 1, 2, 4, 8, 12, 13, 14, 16, 20, and 24 h (where time 0 is the onset of dark and 12 h is the onset of light). The 24 h time point is a repeat of 0 h. This sequence provides relatively more samples immediately after the light-dark transitions, when changes in metabolism are most pronounced. Plants were grown in a controlled environment chamber under defined conditions, and selected for harvest according to a random number generator. Three fully expanded leaves were harvested from each of 20 plants for each sample. Leaves were frozen at -80 C and a portion saved for metabolite and enzyme assays while RNA was isolated from the remainder. The RNA has been purified and is ready to send to Nottingham. Experiment Overall Design: Number of plants pooled:20 Experiment Overall Design: Biological replicates: 2

Project description:Our interest lies in how plants respond to bacterial pathogens. Over the past three years we have identified and documented reproducible, landmark biochemical and molecular events following the challenge of Arabidopsis with the phytopathogenic enterobacteria P. syringae. Significantly, our studies revealed 60% of cDNA-AFLP differentials not present on the 8,200 feature GeneChips and 20% absent from public EST databases (de Torres in press). We now seek to exploit this background using carefully defined time-points to analyse global changes in the Arabidopsis transcriptome using challenges selected to define gene targets implicated in (i) expression of basal immunity (ii) the establishment of successful parasitism (resistance) by a virulent pathogen (host). The results will provide a rationale for future functional assays of the identified pathways using transgenic knockouts and mutant analyses. Additionally, data will provide underpinning support for comparative proteomics of the defense response currently in progress with GARNet support using the same experimental parameters (BBSRC 32/P14635). We propose the following treatments: (i) Mock vs. DC3000hrpA @ 60 min: 60 minutes is subsequent to host immediate-early stress responses and will catalogue the innate responses induced by pathogen associated molecular patterns. The hrpA lesion will ensure no type III effectors influence transcriptional responses. Gene products induced at this time are predicted to potentiate latter host responses (2 treatments X 3 biological replicates = 6 chips). (ii) Mock vs. DC3000 vs. DC3000hrpA vs. DC3000::avrRpm1 @ 4 hours: A key time point previously defined where no macroscopic symptoms are visible but significant differences exist between compatible and incompatible interactions at the molecular and physiological levels. These treatments will serve to define the earliest genes induced by the complement of DC3000 type III effector and will specifically define genes/pathways suppressed by virulence factors in addition to those implicated in orchestration of the hypersensitive cell death. We will also include an incompatible interaction on a transgenic line expressing an RPM1 interacting protein, which fails to mount an HR but exhibits hyper-resistance. We predict this challenge will separate the resistance response (pathogen restriction) from that associated with hypersensitive cell death (5 treatments X 3 biological replicates = 15 chips). (iii) Mock vs. DC3000 vs. DC3000hrpA @ 14 hours: At 10 h before phenotypes are apparent in the DC3000 background, Type III effector delivery is well advanced and impact on host transcription maximal (3 treatments X 3 biological replicates = 9 chips). Experiment Overall Design: Number of plants pooled:4 leaves/plant; 18 plants/time point

Dataset Information

Penfield: Understanding the affect of maternal environment on seed dormancy

Publications

Induction of dormancy in Arabidopsis summer annuals requires parallel regulation of DOG1 and hormone metabolism by low temperature and CBF transcription factors.

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