Cocoa Fermentation
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ABSTRACT:
PROVIDER: PRJNA483234 | ENA |
REPOSITORIES: ENA
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Project description:Cocoa bean fermentation metagenome
| PRJNA83439 | ENA
Project description:Functional metagenomic analysis of cocoa bean fermentation
| PRJEB5194 | ENA
Project description:Fermentation is essential for cocoa flavour development, as during this process key flavour precursors are formed from the degradation of the major cocoa bean storage proteins. This work characterises the peptide and protein profiles of Theobroma cacao beans of the genotype IMC 67 at different fermentation stages, using the Styrofoam box fermentation method and employing UHPLC-ESI MS/MS for the analysis of peptides and proteins extracted from the beans. A total of 1058 endogenous peptides were identified and quantified over four fermentation time points. The majority of these peptides were formed during the early stage of fermentation and originated predominantly from the proteolysis of two storage proteins - vicilin and a 21 kDa albumin. The changes in the peptide profile over fermentation were subsequently evaluated, and potential markers for assessing the degree of fermentation were identified. In particular, changes of the relative abundance of the major cocoa proteins detected can be proposed as potential markers for the fermentation stage. Furthermore, PCA analysis of both the peptidomic and proteomic data has allowed differentiation of beans at different fermentation stages.
2020-02-05 | PXD014434 | Pride
Project description:Metagenome-Assembled Genomes from cocoa beans fermentation
| PRJNA659258 | ENA
Project description:Taxonomic and functional analysis of Costa Rican cocoa bean fermentation ecosystems through shotgun metagenomic and metatranscriptomics sequencing.
| PRJEB38017 | ENA
Project description:Amongst other compounds, cocoa flavour is dependent on peptides that are formed during fermentation of cocoa beans from proteins such as albumin and vicilin. In this study the proteomic profiles of cocoa beans from four genotypes (ICS 1, ICS 39, IMC 67 and SCA 6) with different genetic background and flavour profiles have been analysed by employing a bottom-up label free LC-MS/MS approach. From a total of 430 identified proteins, 250 proteins were found significantly differentially expressed among the four cocoa genotypes analysed. Of these, 61 proteins with a fold change of 2 or more were further investigated, showing that the majority is involved in stress response. Furthermore, several of these 61 proteins could also be linked to oxidation-reduction processes. PCA analysis allowed a clear separation of the genotypes based on their proteomic profile, with an aminohydrolase and a sulphite oxidase greatly contributing to the separation. Aspartyl protease was more abundant in the genotypes ICS 1 and ICS compared to IMC 67, while a serine carboxypeptidase was significantly more expressed in the genotype ICS 39 in comparison with the other genotypes. Both these enzymes catalyse the degradation of storage proteins during fermentation. A Beta-amylase, an enzyme which catalyses the release of maltose was detected at a significantly higher level in the genotype SCA 6 compared to ICS 1 and IMC 67. Two Amine oxidases were significantly more abundant in the genotype SCA 6 compared to ICS 39, and in the genotype ICS 1 versus ICS 39, while two alcohol dehydrogenase were higher expressed in the genotype SCA 6 compared to IMC 67. These enzyme catalyse oxidation of amines and alcohols with release of aldehydes and ketones. The data shows that UHPLC-MS/MS can be employed to differentiate cocoa beans from various varieties, and thus in theory be linked to differences in their flavour profile.
2019-08-15 | PXD011984 | Pride
Project description:Cocoa protein content is a very interesting source for isolation of antioxidant bio-peptides, which can be used for the prevention of age-related diseases. We use microarrays to study the global genome expression of C. elegans fed with a peptide (13L) isolated from cocoa.
2013-12-31 | GSE44318 | GEO
Project description:Cocoa intake has been associated with health benefits, improving cardiovascular function and metabolism, as well as modulating intestinal immune function. The aim of this study was to take an in-depth look into the mechanisms affected by the cocoa intake by evaluating the colonic gene expression after nutritional intervention, and to ascertain the role of the fiber of cocoa in these effects. To achieve this, Wistar rats were fed for 3-weeks with either a reference diet, a diet containing 10% cocoa (C10), a diet based on cocoa fiber (CF) or a diet containing inulin (I). At the end of the study, colon was excised to obtain the RNA to evaluate the differential gene expression by microarray. Results were validated by RT-PCR. The C10 group was the group with most changes in colonic gene expression, most of them down-regulated but a few in common with the CF diet. The C10 diet significantly up-regulated the expression of Scgb1a1 and Scnn1g and down-regulated Tac4, Mcpt2, Fcer1a and Fabp1 by twofold, most of them related to lipid metabolism and immune function. The CF and I diets down-regulated the expression of Serpina10 and Apoa4 by twofold. Similar patterns of expression were found by PCR. Cocoa consumption down-regulated genes related to the immune system (B cell and mast cell functionality), lipid metabolism in the colon tissue. Most of the beneficial effects attributed to cocoa were due not only to its fiber content, but also to the possible contribution of polyphenols and other compounds.
2017-07-09 | GSE70950 | GEO
Project description:Cocoa consumption is associated with beneficial effects on human health. This has been attributed to its polyphenol components and their oligomers, which have been shown to decrease the risk of cardiovascular and inflammatory diseases, metabolic disorders, and to play a role in cancer prevention. We tested cocoa modulation on the gene expression profile of colon cancer HT-29 cells using Affymetrix microarrays. Among the genes differentially expressed in HT-29 cells upon incubation with cocoa extract, 48 were identified as Interferon regulated genes using the INTERFEROME database. Furthermore, a BAN constructed using the Pathway Architect software revealed that STAT1, IF44 and AGT were all highly interconnected nodes.
2018-06-08 | GSE94154 | GEO