Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcriptional profiling of the rust fungus Cronartium quercuum f. sp. fusiforme (Cqf) during vegetative growth on 2 different hosts.

ABSTRACT: The purpose of this study was to make a single comparison between Cqf genes expressed during the vegetative stages of infection on the telial host (oak leaf) versus the aecial host (pine stem). A large proportion of genes were expressed in both hosts and significantly differentially expressed genes were enriched for candidate fungal effectors (small secreted proteins). These results suggest that the Cqf rust fungus uses a largely common set of genes to create two very different infection phenotypes. This study was based on hybridizations to custom microarrays containing features representing 8692 gene models from a Cqf genome sequencing project midpoint assembly. Two Agilent 4 X 44K microarray slides were populated with 60-mer probes (1 to 5 per transcript), designed using AgilentM-bM-^@M-^Ys web-based eArray software. Labeled target cRNA (complementary RNA) was generated using AgilentM-bM-^@M-^Ys Low Input Quick Amp Labeling Kit, such that oak and pine samples were labeled with either cy3 or cy5 an equal number of times across the experiment. Each microarray was hybridized with labeled cRNA target derived from a single oak sample and labeled cRNA target derived from a single pine sample. There were a total of eight oak sample replications and eight pine sample replications. Target hybridization and scanning were performed by the University of FloridaM-bM-^@M-^Ys Interdisciplinary Center for Biotechnology Research using standard procedures and an Agilent G250B Scanner.

ORGANISM(S): Cronartium quercuum

SUBMITTER: John Davis

PROVIDER: E-GEOD-51655 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:The significant morphological differences observed during embryo development in angiosperms and gymnosperms are expected to be the result of a differential control of gene expression. We used a loblolly pine (Pinus taeda) cDNA microarray to analyze global transcriptional changes along zygotic embryogenesis in maritime pine (Pinus pinaster). A time-course analysis of the data obtained from the five embryo developmental groups used in this study led to the identification of 4,645 genes whose expression varied along P. pinaster embryogenesis. These transcripts were clustered into six distinct expression profiles. The grouping of these profiles in early, mid-embryogenesis and embryo maturation, according to the developmental period where most of the sequences were up-regulated, evidenced that characteristic transcriptional changes are associated to each developmental period. The application of a cut-off value of 1.95-fold change led to the identification of 1,838 differentially expressed transcripts that were categorized by biological process. Metabolism, interaction with the environment, oxidation-reduction and transport were some of the most represented categories. During early embryogenesis genes putatively involved in phytohormone-mediated signaling were identified, whereas in middle stages the overrepresented genes could be associated with cotyledon formation and induction of somatic embryogenesis. Genes associated with the synthesis of storage products were up-regulated in the latest stages of pine embryo development. It was also during this developmental period that the largest number of sequences putatively encoding transcription factors was identified. Pine immature zygotic embryos were pooled into five different developmental groups according to the collection date (Day0; Day5; Day11; Day15 and Day25). A common reference design was used. Total RNA was extracted from each sample. Three extractions were prepared per sample (biological replicates). A defined ammount from each RNA sample was pooled to use as reference. Messenger RNA was amplified for both test samples and reference. These were hybridized together in two separate experiments (technical replicates). In total, 30 slides were analyzed.

Dataset Information

Transcriptional profiling of the rust fungus Cronartium quercuum f. sp. fusiforme (Cqf) during vegetative growth on 2 different hosts.

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