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Fabi, João Paulo, Seymour, Graham B., Graham, Neil S., Broadley, Martin R., May, Sean, Lajolo, Franco Maria, Cordenunsi, Beatriz Rosana and Oliveira do Nascimento, João Roberto (2012) Analysis of ripening-related gene expression in papaya using an Arabidopsis-based microarray. BMC Plant Biology, 12 . 242/1-242/19. ISSN 1471-2229

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Abstract

Background

Papaya (Carica papaya L.) is a commercially important crop that produces climacteric fruits with a soft and sweet pulp that contain a wide range of health promoting phytochemicals. Despite its importance, little is known about transcriptional modifications during papaya fruit ripening and their control. In this study we report the analysis of ripe papaya transcriptome by using a cross-species (XSpecies) microarray technique based on the phylogenetic proximity between papaya and Arabidopsis thaliana.

Results

Papaya transcriptome analyses resulted in the identification of 414 ripening-related genes with some having their expression validated by qPCR. The transcription profile was compared with that from ripening tomato and grape. There were many similarities between papaya and tomato especially with respect to the expression of genes encoding proteins involved in primary metabolism, regulation of transcription, biotic and abiotic stress and cell wall metabolism. XSpecies microarray data indicated that transcription factors (TFs) of the MADS-box, NAC and AP2/ERF gene families were involved in the control of papaya ripening and revealed that cell wall-related gene expression in papaya had similarities to the expression profiles seen in Arabidopsis during hypocotyl development.

Conclusion

The cross-species array experiment identified a ripening-related set of genes in papaya allowing the comparison of transcription control between papaya and other fruit bearing taxa during the ripening process.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/712414
Keywords:	Oligo-chip, Heterologous microarray, Papaya ripening, Quantitative gene expression, Whole genome shotgun, Transcript profiling
Schools/Departments:	University of Nottingham, UK > Faculty of Science > School of Biosciences
Identification Number:	https://doi.org/10.1186/1471-2229-12-242
Depositing User:	Eprints, Support
Date Deposited:	25 Nov 2016 13:42
Last Modified:	04 May 2020 16:34
URI:	https://eprints.nottingham.ac.uk/id/eprint/38977

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