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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Identification of genes involved in aromatic amino acid metabolism

ABSTRACT: To accurately detect and quantify low abundant transcripts no represented in current EST databases we generated an RNA-seq dataset based on RNA isolated from Petunia hybrida corolla tissue harvested at 8 PM at two developmental stages, day -1 (bud) and day 2 postanthesis (the tissues containing the lowest and highest levels of phenylalanine, respectively). Total RNA samples were obtained from corollas of at least eight wild-type petunia flowers per biological replicate at the two developmental stages using an RNeasy plant mini kit from Qiagen.

ORGANISM(S): Petunia x hybrida

SUBMITTER: Natalia Dudareva

PROVIDER: E-GEOD-70948 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Identification of genes involved in aromatic amino acid metabolism

Project description:To accurately detect and quantify low abundant transcripts no represented in current EST databases we generated an RNA-seq dataset based on RNA isolated from Petunia hybrida corolla tissue harvested at 8 PM at two developmental stages, day -1 (bud) and day 2 postanthesis (the tissues containing the lowest and highest levels of phenylalanine, respectively).

2015-09-09 | GSE70948 | GEO

Comprehensive transcriptional profiling analysis reveals candidate regulators in cold-stressed seedlings of Petunia hybrida

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Project description:In order to identify genes specifically induced during various developmental stages of Adventitious Root (AR) formation (described in Ahkami et al. 2009) in leafy cuttings of Petunia hybrida (line W115) and to describe the series of physiological processes during adventitious rooting, a microarray-based transcriptome analysis in the stem base of the cuttings was conducted. The microarray was described by Breuillin et al. (2010) and included a normalized cDNA library from different time points after taking the cuttings from mother plant. Because physiological processes and molecular changes specifically involved in AR formation were considered as of major interest, rather than those associated with wound responses, a filtration approach was chosen to eliminate primarily wound-responsive genes. This study is mainly focused on changes in transcript abundances of genes related to specific metabolic pathways or cellular events including primary metabolism, membrane transport, cell division or signalling during various phases of AR formation. The overall design of the custom microarray used in this study is described in Breuillin et al. (2010). In brief, a database of 24,816 unigene sequences (including 4,700 ESTs from P. hybrida cutting base and all public available P. hybrida and P. axillaris sequences) was used for construction of a custom microarray.

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Project description:Petunia hybrida Transcriptome

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Project description:Petunia hybrida Transcriptome

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Revealing impaired pathways in regulatory mutant by high-throughput characterization of Petunia axillaris and Petunia inflata transcriptomes.

Project description:Petunia is an excellent model system, especially for genetic, physiological and molecular studies. Thus far, however, genome-wide expression analysis has been rarely applied because of the lack of sequence information. We applied next-generation sequencing to generate, through de novo read assembly, a large catalogue of transcripts for Petunia axillaris and Petunia inflata. On the basis of the transcriptome of each species, comprehensive microarray chips for gene expression analysis were established and used for the analysis of global- and organ-specific gene expression in both species. In addition, microarray analysis was applied to explore the molecular basis of the seed coat defects in Petunia hybrida mutants, homozygous for a null allele of the AN11 gene, encoding a WDR transcription regulator. Among the transcripts differentially expressed in an11 seeds compared to wild type, many expected targets of AN11 were found but also several interesting new candidates that might play a role in morphogenesis of the seed coat. Our results validate the combination of next-generation sequencing with microarray analyses strategies to identify the transcriptome of two petunia species without previous knowledge of their genome, and to develop comprehensive chips as useful tools for the analysis of gene expression in P. axillaris, P. inflata and P. hybrida.

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