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Petunia axillaris

ABSTRACT: Petunia axillaris overview

PROVIDER: PRJNA322098 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
		Other
	JANRMM01.dat.gz	Other
	JANRMM01.fasta.gz	Fasta.gz
	JANRMM01.master.dat	Other
	JARKNS01.dat.gz	Other

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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.

2012-02-29 | GSE28120 | GEO

Petunia axillaris subsp. axillaris cultivar:N

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

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

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