In Silico transcriptional regulatory networks during tomato fruit ripening
Ontology highlight
ABSTRACT:
ORGANISM(S): Solanum lycopersicum
PROVIDER: GSE78733 | GEO | 2017/02/09
SECONDARY ACCESSION(S): PRJNA313357
REPOSITORIES: GEO
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2018-10-09 | GSE120925 | GEO
Project description:To facilitate the functional annotation of the pepper genome, we generated 90.84 Gb of RNA-Seq data from 33 libraries representing all major tissue types and developmental stages of Zunla 1, as well as fruits from other accessions with significant phenotypic differences. Pepper ‘Zunla 1’ and other inbred lines were grown in a greenhouse as described in Table S1, with their different developmental stages Plants at full-bloom stage were harvested for roots, stems, and leaves as the same as the samples for phased small RNAs (see text S3.4.2 for details). Mature plants were harvested for unopened flower buds (buds) and fully open flowers (flowers). Additional flowers were allowed to self-pollinate and fruit was harvested at four pre-breaker stages (1-3cm, 3-4cm, 4-5cm fruit length, and mature green), the breaker stage (when the fruit was turning red) and three post-breaker stages (3, 5, and 7 days after breaker). These samples will respectively be referred to as Root, Stem, Leaf, Bud, Flower, F-Dev-1, F-Dev-2, F-Dev-3, F-Dev-4, F-Dev-5, F-Dev-6, F-Dev-7, F-Dev-8, and F-Dev-9. Similar roots, stems, leaves, immature fruit and red fruit were harvested from other inbred lines from domesticated Capsicum species. Meanwhile, chiltepin plants were grown under long days at controlled temperature and RNA was extracted from a mix of leaves from four stages (seedling, early blooming, full bloom, and fruit breaker phases), a mix of flowers from unopened flower buds (buds) and fully open flowers (flowers), and fruit at breaker and breaker plus five days respectively. All tissues were frozen in liquid nitrogen and then stored at -80℃. Total RNA was isolated from different samples by using the Trizol Reagent (Invitrogen) according to manufacturer’s instructions. Strand-specific RNA-Seq library preparations were performed as previously described (39) with 12 independently bar-coded samples sequenced on one lane of an Illumina HiSeq2000 system. The 200 bp paired-end libraries were sequenced using Illumina HiSeq 2000 (90 bp PE).
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Project description:Gene expression in wild-type fruit. Strand-specific RNA-Seq data was used to calculate the gene expression value (RPKM) in four wild-type fruit developmental stages including immature fruit at 17DPA, mature green fruit (seeds development completes) at 39DPA, breaker fruit (onset of ripening) at 42DPA and fully ripe fruit at 52DPA. For each sample, two to four biological replicates were sequenced. Note: Samples in SRA were assigned the same sample accession. This is incorrect as there are different samples, hence âSource Nameâ was replaced with new values. Comment[ENA_SAMPLE] contains the original SRA sample accessions.
2011-10-07 | E-MTAB-4818 | biostudies-arrayexpress
Project description:The experiment was aimed at describing similarities and differences between grapevine flesh and skin ripening at the transcriptome level. Transcriptional profiles throughout flesh and skin ripening were followed in three biological replicas during two consecutive growing seasons in a table grape cultivar ‘Muscat Hamburg’. Berries were weekly picked off bunches (one bunch per vine from each selected vine) from june to august. For each sampling, berries were classified in five ripening stages based on monitoring developmental stages instead of a simple chronological sampling. They corresponded to pre-véraison (P), 50% véraison (V1), 100% véraison (V2), ripe 1 (R1), and ripe 2 R2). P samples were harvested as green, hard berries of at least 15 mm in size, according to touch-assessed hardiness. Véraison berries with half or full coloured skin surface corresponded to V1 and V2 samples. After véraison, ripening berries were classified according to their floatability in solutions with different NaCl densities, as an indication of the internal sugar concentration. At this stage berries were sampled with densities between 110-130 g NaCl/L for R1 and between 130-150 g NaCl/L for R2, which corresponded to commercially ripen table grape berries. On each of the five samples, frozen berries were dissected and RNA from flesh and skin was obtained and processed for Grapegen Genechip microarray hybridizations. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Pablo Carbonell-Bejerano. The equivalent experiment is VV33 at PLEXdb.]
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Project description: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).
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