Dataset Information

Comparative transcriptome analysis of differentially expressed genes between the fruit peel and flesh of the purple tomato cultivar 'Indigo Rose'.

ABSTRACT: Anthocyanins are considered health-promoting phytonutrients; however, anthocyanins strictly occurr in the fruit peel of purple tomato cultivars, making the total anthocyanin content limited per tomato fruit. In this study, we performed a transcriptome analysis between the fruit peel and flesh of a purple tomato cultivar 'Indigo Rose' at both the mature green stage and breaking stage. In total, 1,945 differently expressed genes, including 165 transcription factors, were detected between the fruit peel and flesh, both at and after the mature green stage. We further analyzed the transcription of anthocyanin biosynthesis genes and the regulatory genes composing the MYB-bHLH-WD40 (MBW) complex between the fruit peel and flesh at both development stages. In addition, several light-sensing genes and other transcription factor genes, including BBX family genes and WRKY genes, showed different expression patterns between the fruit peel and flesh. These findings deepen our understanding of anthocyanin biosynthesis in tomato fruit peels and facilitate the identification of genes limiting the anthocyanin biosynthesis in tomato fruit flesh.

SUBMITTER: Liu X

PROVIDER: S-EPMC8570723 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Comparative transcriptome analysis of differentially expressed genes between the fruit peel and flesh of the purple tomato cultivar 'Indigo Rose'.

Liu Xiaoxi X Huang Yinggemei Y Qiu Zhengkun Z Gong Hao H

Plant signaling & behavior 20200426 6

Anthocyanins are considered health-promoting phytonutrients; however, anthocyanins strictly occurr in the fruit peel of purple tomato cultivars, making the total anthocyanin content limited per tomato fruit. In this study, we performed a transcriptome analysis between the fruit peel and flesh of a purple tomato cultivar 'Indigo Rose' at both the mature green stage and breaking stage. In total, 1,945 differently expressed genes, including 165 transcription factors, were detected between the fruit ...[more]

PMID: 32338177

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Project description:BackgroundOlea europaea L. is a traditional tree crop of the Mediterranean basin with a worldwide economical high impact. Differently from other fruit tree species, little is known about the physiological and molecular basis of the olive fruit development and a few sequences of genes and gene products are available for olive in public databases. This study deals with the identification of large sets of differentially expressed genes in developing olive fruits and the subsequent computational annotation by means of different software.ResultsmRNA from fruits of the cv. Leccino sampled at three different stages [i.e., initial fruit set (stage 1), completed pit hardening (stage 2) and veraison (stage 3)] was used for the identification of differentially expressed genes putatively involved in main processes along fruit development. Four subtractive hybridization libraries were constructed: forward and reverse between stage 1 and 2 (libraries A and B), and 2 and 3 (libraries C and D). All sequenced clones (1,132 in total) were analyzed through BlastX against non-redundant NCBI databases and about 60% of them showed similarity to known proteins. A total of 89 out of 642 differentially expressed unique sequences was further investigated by Real-Time PCR, showing a validation of the SSH results as high as 69%. Library-specific cDNA repertories were annotated according to the three main vocabularies of the gene ontology (GO): cellular component, biological process and molecular function. BlastX analysis, GO terms mapping and annotation analysis were performed using the Blast2GO software, a research tool designed with the main purpose of enabling GO based data mining on sequence sets for which no GO annotation is yet available. Bioinformatic analysis pointed out a significantly different distribution of the annotated sequences for each GO category, when comparing the three fruit developmental stages. The olive fruit-specific transcriptome dataset was used to query all known KEGG (Kyoto Encyclopaedia of Genes and Genomes) metabolic pathways for characterizing and positioning retrieved EST records. The integration of the olive sequence datasets within the MapMan platform for microarray analysis allowed the identification of specific biosynthetic pathways useful for the definition of key functional categories in time course analyses for gene groups.ConclusionThe bioinformatic annotation of all gene sequences was useful to shed light on metabolic pathways and transcriptional aspects related to carbohydrates, fatty acids, secondary metabolites, transcription factors and hormones as well as response to biotic and abiotic stresses throughout olive drupe development. These results represent a first step toward both functional genomics and systems biology research for understanding the gene functions and regulatory networks in olive fruit growth and ripening.

Dataset Information

Comparative transcriptome analysis of differentially expressed genes between the fruit peel and flesh of the purple tomato cultivar 'Indigo Rose'.

Publications

Comparative transcriptome analysis of differentially expressed genes between the fruit peel and flesh of the purple tomato cultivar 'Indigo Rose'.

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