Ontology highlight
ABSTRACT:
PROVIDER: PRJNA996098 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR25320286_1.fastq.gz | Fastqsanger.gz | |||
| SRR25320286_2.fastq.gz | Fastqsanger.gz | |||
| SRR25320287_1.fastq.gz | Fastqsanger.gz | |||
| SRR25320287_2.fastq.gz | Fastqsanger.gz | |||
| SRR25320288_1.fastq.gz | Fastqsanger.gz |
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Project description:<p>Abstract:This study comparatively evaluated the effects of four aquaculture systems pond (PD), rice field (RF), round bucket (RB) and water trough (WT) on the flesh quality, gut microbiota and metabolites of Acrossocheilus fasciatus. Compared with the other three groups, texture analysis revealed that the RF group exhibited significantly higher hardness and chewiness (P < 0.05), the highest content of umami amino acids, relatively high levels of flavor compounds (alcohols and esters), and significantly higher polyunsaturated fatty acid (PUFA) content , particularly rich in eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Additionally, metabolomics and gut microbiota analyses showed that compared with the other three groups, the RF group had significantly higher contents of beneficial metabolites and bacterial genera, enhancing flavor and nutritional value by regulating amino acids, fatty acids, and volatile flavor compounds.These findings highlight the potential of RF in improving fish quality and elucidating metabolomic and microbial mechanisms, providing theoretical support for ecological aquaculture.</p>
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Project description:Flahaut2013 - Genome-scale metabolic model of L.lactis (MG1363)
Genome-scale metabolic model for Lactococcus lactis
MG1363 and its application to the analysis of flavor formation.
This model is described in the article:
Genome-scale metabolic model for Lactococcus lactis MG1363 and its application to the analysis of flavor formation.
Flahaut NA, Wiersma A, van de Bunt B, Martens DE, Schaap PJ, Sijtsma L, Dos Santos VA, de Vos WM
Applied Microbiology and Biotechnology. 2013; 97(19):8729-8739
Abstract:
Lactococcus lactis subsp. cremoris MG1363 is a paradigm strain for lactococci used in industrial dairy fermentations. However, despite of its importance for process development, no genome-scale metabolic model has been reported thus far. Moreover, current models for other lactococci only focus on growth and sugar degradation. A metabolic model that includes nitrogen metabolism and flavor-forming pathways is instrumental for the understanding and designing new industrial applications of these lactic acid bacteria. A genome-scale, constraint-based model of the metabolism and transport in L. lactis MG1363, accounting for 518 genes, 754 reactions, and 650 metabolites, was developed and experimentally validated. Fifty-nine reactions are directly or indirectly involved in flavor formation. Flux Balance Analysis and Flux Variability Analysis were used to investigate flux distributions within the whole metabolic network. Anaerobic carbon-limited continuous cultures were used for estimating the energetic parameters. A thorough model-driven analysis showing a highly flexible nitrogen metabolism, e.g., branched-chain amino acid catabolism which coupled with the redox balance, is pivotal for the prediction of the formation of different flavor compounds. Furthermore, the model predicted the formation of volatile sulfur compounds as a result of the fermentation. These products were subsequently identified in the experimental fermentations carried out. Thus, the genome-scale metabolic model couples the carbon and nitrogen metabolism in L. lactis MG1363 with complete known catabolic pathways leading to flavor formation. The model provided valuable insights into the metabolic networks underlying flavor formation and has the potential to contribute to new developments in dairy industries and cheese-flavor research.
This model is hosted on BioModels Database
and identified by: MODEL1310300000
.
To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication
for more information.
2005-01-01 | MODEL1310300000 | BioModels
Project description:An evolved strain (ECA5) presented two successive yields of bioconversion of higher alcohols to acetate esters, while its parental strain (EC1118) had a constant yield through the fermentation. Transcriptomic analysis was performed during wine fermentation in SM330 containing 8mg/L phytosterols, at 35 g/l and at 70 g/l of CO2 released. For ECA5, this corresponds to a sample before and one after the change of bioconversion yield. This analysis helped us to understand the different management of lipid source by the evolved strain, which is probably linked to a greater availability in acetyl-CoA. Two strains (EC1118 and ECA5) were compared during wine fermentation at 2 released CO2 time point (35g/L and 70g/L). Each condition is in triplicat.
2016-06-29 | E-GEOD-68354 | biostudies-arrayexpress