Tomato (taxid:4081)
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1100749 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR28722171_1.fastq.gz | Fastqsanger.gz | |||
| SRR28722171_2.fastq.gz | Fastqsanger.gz | |||
| SRR28722172_1.fastq.gz | Fastqsanger.gz | |||
| SRR28722172_2.fastq.gz | Fastqsanger.gz | |||
| SRR28722173_1.fastq.gz | Fastqsanger.gz |
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Project description:Climate change is one of the biggest threats that human society currently needs to face. Heat waves associated with global warming negatively affect plant growth and development and will increase in intensity and frequency in the coming years. Tomato is one of the most produced and consumed fruit in the world but remarkable yield losses occur every year due to the sensitivity of many cultivars to heat stress. New insights into how tomato plants are responding to heat stress will contribute to the development of cultivars with high yields under harsh temperature conditions. In this study, the analysis of microsporogenesis and pollen germination rate of eleven tomato cultivars after exposure to a chronic heat stress revealed differences between genotypes. The transcriptome of floral buds at two developmental stages of five cultivars revealed common and specific molecular responses implemented by tomato cultivars to cope with chronic heat stress. These data provide valuable insights into the diversity of the genetic response of floral buds from different cultivars to heat stress and may contribute to the development of future climate resilient tomato varieties.
2023-10-31 | GSE246372 | GEO
Project description:The environmental conditions greatly influence tomato fruit quality, by affecting the expression of genes, the abundance of metabolites and the perception of sensorial attributes.In this study, a fruit transcriptome investigation, together with a sensory test and a metabolomic analysis were per-formed to evaluate the impact of the environment on two popular tomato cultivars grown in two Italian regions. The transcriptional profile of each cultivar, cultivated in two different areas high-lighted differential expression in genes involved in pathways related to cell wall components such as pectin, lignin and hemicellulose, sugars as well as in amino acids, phenylpropanoids, and pigment synthesis. The cultivation area mainly affects sensory attributes related to texture and flavor and the metabolic pattern of cell wall precursors, sugars, glutamate, aspartate and carotenoids. In the two genotypes cultivated in the same environment, some attributes and fruit-related quality processes are similarly affected, while others are differently influenced based on tomato specific genetic makeup. Combination of transcriptomic, sensory and metabolomic data obtained from the two tomato genotypes revealed that the environment has a profound effect on specific sensory traits, providing information on factors that shape the specific characteristics and genetic targets for im-proving tomato fruit characteristics.
2024-09-13 | GSE273560 | GEO
Project description:Gene-to-gene coexpression analysis is a powerful approach to infer function of uncharacterized genes. To perform non-targeted coexpression analysis of tomato genes, we collected a developmental gene expression dataset using various tissues of tomato plant. Expression data are collected from 24 different tissue types including root, hypocotyl, cotyledon, leaf at different stages, and fruit tissues at 4 different ripening stages from 4 different Solanum lycopersicum cultivars. Fruits were separated to the flesh and the peel. These two tissue types indeed showed remarkably different gene expression profiles. We also collected data from 4 different ripening stages (mature green, yellow, orange, and red) to detail the changes during ripening. By using this gene expression dataset, we calculated pair-wise Pearsonâs correlation coefficients, and performed network-based coexpression analysis. The analysis generated a number of coexpression modules, some of which showed an enrichment of genes associated with specific functional categories. This result will be useful in inferring functions of uncharacterized tomato genes, and in prioritizing genes for further experimental analysis. We used Affymetrix GeneChip Tomato genome Arrays to detail the global gene expression change using 24 different tomato tissue types (67 hybridizations). We collected gene expression data from 24 different tomato tissue types using 67 hybridizations. Root, hypocotyl, cotyledon, and leaf were sampled from 3-week-old or 5-weekâold plant of Solanum lycopersicum cultivar Micro-Tom. Fruit tissues were sampled from S. lycopersicum cultivars Micro-Tom, Anthocyanin fruit (Aft, LA1996), Line27859, and Momotaro 8 (Takii, Japan). From Micro-Tom fruit, the peel and the flesh were separately sampled from 4 different ripening stages: mature green (MG, approximately 30 day after anthesis), yellow (Y, approximately 35 days after anthesis), orange (O, approximately 38-40 days after anthesis), and red (R, approximately 45-48 days after anthesis). From fruits of Aft and Line27859, the peel and the flesh were sampled at mature green (MG, approximately 40 days after anthesis) and red (R, approximately 50-55 days after anthesis) stages. From Momotaro 8, the peel and the flesh were sampled at red (R, 50- approximately 50-55 days after anthesis) stages. For each tissue type, 2-4 biological replicates were made in RNA preparation.
2010-02-21 | E-GEOD-19326 | biostudies-arrayexpress
Project description:The environment has a profound influence on the tomato fruit organoleptic quality. The extent of which depends from a well-regulated and dynamic interplay among genes, metabolites and sensorial attributes. A systems biology approach, could be useful for elucidating complex interacting mechanisms regulating the plasticity of sensorial quality properties. In order to investigate the transcriptomic and metabolomic environmentally challenged remodeling and to evaluate organoleptic consequences of such variation, three tomato (Solanumlycopersisum) genotypes, Heinz 1706, San Marzano and Vesuviano were grown in two different localities. The metabolome and transcriptome analysis revealed common as well as genotype specific challenged pathways, the dynamic of which are in turn regulated by genome organization and gene diversity. When combined with sensorial data, through a network analysis, interesting aspects of fruit quality fine regulation were revealed: first, duplicated genes and different genes/isoforms and transcription factors have a dominant role in shaping environment response; second the lost or gained interactions and/or the changing position of a node is crucial for phenotypic expression of a given trait; third, sensorial traits as sweetness, turgidity and are much responsive to environment. The fundamental role of cell wall metabolism in tuning all the quality attributes was also highlighted. Tomato genotypes, although activate the same fruit related quality processes, follow different transcriptomic, metabolomic and sensorial trajectories depending of their own genetic makeup.
2017-06-13 | GSE75273 | GEO
Project description:Background: Fruit color is an important quality trait for nutrition value in tomato (Solanum lycopersicum) and has attracted huge attention for a long time. In order to dissect the yellow-fruit color of a novel tomato mutant n3122, we compared the dynamic transcriptome of the fruit pericarps from the mutant n3122 and its wild type red-fruited tomato cultivar M82. Results: The transcriptomes of fruits from M82 35 DPA (Days Post Anthesis), M82 47 DPA, M82 54 DPA, n3122 35 DPA, n3122 47 DPA, n3122 54 DPA and n3122 60 DPA were sequenced using an Illumina Hiseq 2000 sequencing platform. A total of 5568 differentially expressed genes (DEGs) were commonly identified in the four pairwise comparisons of M82_35 DPA vs n3122_35 DPA, M82_47 DPA vs n3122_47 DPA, M82_54 DPA vs n3122_54 DPA and M82_47 DPA vs n3122_60 DPA. Further Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed that carotenoids biosynthesis, ethylene biosynthesis and signaling transduction, and transcription factors associated fruit ripening were different between M82 and n3122 which might be the underlying mechanisms for the yellow-fruit color of tomato. Conclusions: This research provided a global data set of dynamic transcriptomic changes during fruit development and ripening for the wild type red-fruited tomato cultivar M82 and its yellow-fruited mutant n3122, and offered a base for elucidating the molecular mechanisms underlying tomato red/yellow fruit color mutation.
2017-04-10 | GSE73908 | GEO
Project description:Anthocyanins are high value plant antioxidants which are not present in the fruits of cultivated tomato. However, both the dominant gene Anthocyanin fruit (Aft) and the recessive gene atroviolacea (atv), introgressed into domesticated tomato from two different wild Solanum species, stimulate a limited anthocyanin pigmentation. Surprisingly, double mutant Aft/Aft atv/atv tomatoes are characterised by the presence of anthocyanins in the fruit peel, resulting in intensely purple pigmented fruit. We carried out a transcript profiling analysis using GeneChip® Tomato Genome Arrays, in order to identify differentially expressed genes when comparing wild type, Aft/Aft, atv/atv, and Aft/Aft atv/atv fruits. The expression pattern of several genes involved in the anthocyanin pathway was analyzed in detail. Among the fruit peel-associated differentially expressed transcripts, genes involved in phenylpropanoid pathway, cell wall composition, biotic and abiotic stress responses, sugar and hormone metabolism were overrepresented in Aft/Aft atv/atv. Transcriptomic analysis thus revealed that the activation of anthocyanin synthesis in tomato fruit was accompanied by a complex remodulation of gene expression, likely affecting important agronomic and merceological traits.
2010-07-31 | GSE19792 | GEO
Project description:Gene-to-gene coexpression analysis is a powerful approach to infer function of uncharacterized genes. To perform non-targeted coexpression analysis of tomato genes, we collected a developmental gene expression dataset using various tissues of tomato plant. Expression data are collected from 24 different tissue types including root, hypocotyl, cotyledon, leaf at different stages, and fruit tissues at 4 different ripening stages from 4 different Solanum lycopersicum cultivars. Fruits were separated to the flesh and the peel. These two tissue types indeed showed remarkably different gene expression profiles. We also collected data from 4 different ripening stages (mature green, yellow, orange, and red) to detail the changes during ripening. By using this gene expression dataset, we calculated pair-wise Pearson’s correlation coefficients, and performed network-based coexpression analysis. The analysis generated a number of coexpression modules, some of which showed an enrichment of genes associated with specific functional categories. This result will be useful in inferring functions of uncharacterized tomato genes, and in prioritizing genes for further experimental analysis. We used Affymetrix GeneChip Tomato genome Arrays to detail the global gene expression change using 24 different tomato tissue types (67 hybridizations).
2010-02-01 | GSE19326 | GEO
Project description:The membrane proteome variations associated with tomato pericarp ripening have been investigated by mass spectrometry-based label-free proteomics. Protein patterns were markedly different between mature green (MG30) and red ripe (R45) stages. Among the 1315 proteins identified with at least two unique peptides, 145 were significantly variable in abundance throughout the process of fruit ripening.
2019-03-08 | PXD009132 | JPOST Repository
Project description:Transcriptome profiling of tomato gene expression during fruit set
2009-05-06 | E-MEXP-1617 | biostudies-arrayexpress
Project description:Early fruit development is crucial for crop production in tomato. After fertilization, the ovary undergoes a cell division and a cell expansion stages before maturation. Although the roles of regulatory signals such as hormone and carbohydrate during early fruit development have been studied, the spatial distribution and the sequential initiation of these regulatory signals is still poorly understood. Using the cultivated tomato “Moneymaker” as materials, we analyzed the transcriptome of the ovule and the ovary wall dissected from the different stages of the early developing fruits. These datasets provide us the whole picture about the spatial and temporal signal distribution of fruit formation which has not been studied in such a detailed manner. Our results suggest that the hormone signal was initiated in both ovule and ovary wall after fertilization. After that, the different signals were activated in ovule and ovary wall due to their distinct developmental processes. By analyzing the global expression profiling of hormone related genes, we found that the auxin might be synthesized in both ovule and ovary wall after fertilization. The expression pattern of sugar related genes revealed the different carbohydrate metabolism events occurred in ovule and ovary wall. At last, we identified a gene showed tissue and stage specific expression pattern and localized in previously reported fruit weight locus which might be selected during tomato breeding.
2018-01-01 | GSE74827 | GEO