Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Analysis of Ripening-related Gene Expression in Papaya using an Arabidopsis-based Microarray

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 fruit ripening and its 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 and some of them had their expression validated by qPCR. The transcription profile was then compared with that from ripening tomato and grape. Overall, the transcriptomics analysis revealed many similarities between ripening in papaya and tomato especially with respect to primary metabolism, regulation of transcription, biotic and abiotic stress and cell wall metabolism. XSpecies microarray data indicate that transcription factors (TFs) of the MADS-box, NAC and AP2/ERF gene families are involved in the control of papaya ripening and reveal that cell wall-related gene expression in papaya showed similarities to the expression profiles seen in A. thaliana during hypocotyl development. Conclusion: The cross-species array experiment was successful in identifying ripening-related genes in papaya. The data indicated common and diverse elements of transcription control between fruit bearing taxa and has also indicated a possible distinct co-evolutionary mechanism for papaya cell wall disassembling system. The present study represents new topics for future researches that would help complement the structural genomic data provided by the papaya genome, since there is no gene-chip available for this plant organism. Papaya ripe transcriptome was analysed using mRNA extracted from unripe and ripe fruit from 2 replicates. After microarray hybridization in ATH1-121501 chip, data were normalized against data generated by papaya DNA hybridization in another ATH1-121501 chip and analysed using perl algorithms (masks).

ORGANISM(S): Carica papaya

SUBMITTER: Joao Fabi

PROVIDER: E-GEOD-38105 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Tomatoes are one of the valuable sources of antioxidants such as carotenes, ascorbic acid (AsA), and phenolic compounds (flavonoids and hydroxycinnamic acid derivatives). These secondary metabolites have been proved to be beneficial for humans and animals because their involvement in the prevention of many proliferative and degenerative diseases. The aim of this work is to gain greater insights in the genetic control of phenylpropanoid accumulation in tomato fruit by using genomics-based strategies. In order to identify QTLs controlling antioxidant accumulation in tomato fruit we carried out a comparative analysis of Solanum pennellii x S. lycopersicum cv. M82 introgression lines (ILs) over three year trials in greenhouse environment. Among all, IL7-3 showed higher fruit content of total phenolics and the HPLC-UV profile revealed that chlorogenic acid mainly accounted for the higher performance of this line. To investigate in details genetic mechanisms and candidate genes controlling phenols synthesis and accumulation in IL7-3 fruit we performed a comparative transcriptomic analysis in tomato pericarp. In particular, RNA was extracted from percarp of IL7-3 and M82 parental line and hybridized on a 90k Combimatrix TomatArray 1.0. The experiment was repeated over two consecutive years. The transcriptomic approach allowed to identify 291 differentially expressed transcripts, 149 showing up-rgulation and 142 down-regulation. The ethylene signaling pathway has been involved in the modulation of the level of total phenolics in ripe fruit. In particular, an Ethilene Responsive Factor 1 (ERF1) was functionally characterized by TILLING (Targeting Local Lesion IN Genomes) approach. The mutant line expressed lower accumulation of phenolics in the fruit and additional insights on the regulation of phenolics in tomato ripe fruit were provided. Comparative microarray analysis between a tomato introgression line (IL7-3) expressing higher level of fruit total phenolics and its parental cultivar M82 (reference) was performed. In particular, samples were generated by pooling red-ripe fruit from the same plant and discarding the seeds, jelly parenchyma, columella and placenta tissues. Three plant replica were used for each line (IL7-3 and M82) and the experiment was replicated over two consecutive years.

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Analysis of Ripening-related Gene Expression in Papaya using an Arabidopsis-based Microarray

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