Coffea arabica
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA132153 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Understanding coffee quality
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Project description:TRANSCRIPTOME ANALYSIS OF COFFEE SEED GERMINATION
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Project description:Coffea arabica is the oldest and most cultivated species of coffee plant.
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Project description:Study on the formation and change mechanism of coffee fruit color based on transcriptome and metabolome (PRJCA028798)
| PRJDB32290 | ENA
Project description:The geographical authentication of green specialty coffee is an intriguing phenomenon that is not yet fully resolved. As one of few, this study is focused on the authentication of the geographical origin of green specialty coffee beans from well-known harvesting regions in Central America, South America, Africa, and Asia using proteomic profiling coupled with Linear Discriminant Analysis. Out of 1596 proteins, we identified 30 of the most significant target markers for the authentication of the geographical origin of specialty green coffee beans. The prediction performance of the model using leave-one-out cross-validation reached 85.3%, with the lowest accuracy in the prediction rate for Asian samples. Model performance and prediction sensitivity to random states were tested using 5-fold cross-validation. After 20 iterations, the model performance decreased to 84.0%.
2025-10-09 | PXD059982 | Pride
Project description: Not available
| S-EPMC4282694 | biostudies-literature
Project description:Epidemics of coffee leaf rust (CLR) lead to great yield losses and huge depreciation of coffee marketing values, if no control measures are applied. Societal expectations of a more sustainable coffee production are increasingly imposing the replacement of pesticide treatments by alternative solutions. A good protection strategy is to take advantage of the plant immune system by eliciting its constitutive defenses. Based on such concept, plant resistance inducers (PRIs) have been developed. The Greenforce CuCa formulation made by UFLA (Brazil) is, in addition to acibenzolar-S-methyl (ASM), showing promising results in the control of CLR (Hemileia vastatrix) in Coffea arabica. In order to improve our understanding of the molecular mechanisms of the PRIs, proteomic (2DE-MALDI/TOF/TOF-MS/MS), physiological (leaf gas-exchange) and biochemical (enzymatic) analyses of coffee leaves treated with Greenforce CuCa and ASM and inoculation with H. vastatrix were performed. Proteomic data showed metabolic adjustments mainly related with photosynthesis, protein metabolism and stress responses but, the proteins modulated by the two PRIs were different. Greenforce CuCa, on its own, increased photosynthesis and stomatal conductance, while ASM caused a decrease in these parameters. Upon H. vastratix infection, the Greenforce CuCa showed a higher protective effect on the leaf physiology than ASM. The enzymatic analyses indicated that Greenforce CuCa reinforces the redox homeostasis of the leaf, while ASM seems to increase the involvement of secondary metabolism. So, the PRIs prepare the plant to resist CLR but, inducing different defense mechanisms upon pathogen infection. The data also evidenced the existence of a link between the primary metabolism and defense responses. Furthermore, Greenforce CuCa emerged as a significant agent for CLR management. The identification of components of the plant primary metabolism, essential for plant growth and development that, simultaneously, participate in the plant defense responses can open new perspectives for plant breeding programs.
2020-03-31 | PXD016012 | Pride
Project description:Background: Understanding the genetic elements that contribute to key aspects of coffee biology will impact future agronomical improvements for this economically important tree. The past years, EST collections were generated in Coffee, opening the possibility to create new tools for functional genomics. Results: The project PUCE CAFE, set up by the scientific consortium NESTLE/IRD/CIRAD has developed of long oligonucleotide coffee array using public coffee EST sequences mainly obtained from different stages during fruit development and leaves in Coffea canephora (Robusta). We have performed a validation experiment in order to check the array usability and the reproducibility of hybridizations. Conclusion: We have generated the first 15K Coffee array during this three years project PUCE CAFE, granted by The French National Research Agency (ANR, Programme Génoplante) . This new tool was dedicated to large scale transcriptomic analysis during grain development of Coffea canephora grown in different countries . Furthermore, other analysis have been also initiated by the different partners like analysis of polyploidy or drought resistance. In any case, at the end of the project, the generated arrays will be available to the international scientific community.
2011-11-01 | GSE24754 | GEO
Project description:Coffea arabica Transcriptome or Gene expression
| PRJNA1175869 | ENA