Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| ERR3296441.fastq.gz | Fastqsanger.gz | |||
| ERR3296441_1.fastq.gz | Fastqsanger.gz | |||
| ERR3296441_2.fastq.gz | Fastqsanger.gz | |||
| ERR3296442_1.fastq.gz | Fastqsanger.gz |
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Project description:The effects of increasing addition of green tea in dietary changes the bacterial populations in broiler ileum were evaluated. Four hundreds of AA broilers were randomly assigned to four groups with green tea addition of 0, 0.5, 1 and 2 percent in the diet. The body weight showed no difference but a digital increase positively correlated with addition of green tea. The content of green tea had a linear effect of lengthening the ileum villi. The barcoded DNA pyrosequencing method was used to reveal 15 phyla, 1157phylotypes and 3098 16S operational taxonomic units (OTUs). The most predominant bacterial phyla were Firmicutes (56.89%), Actinobacteria (30.58%), Proteobacteria (8.61%) and Bacteroidetes (2.72%). As the proportion of additional green tea increased, the abundance of phylum Actinobacteria (p=0.003) and Proteobacteria (p=0.049) almost linearly increased, while the proportion of Firmicutes (p=0.027) linearly decreased. Only 2 OTUs were significantly affected by the increased additive, Corynebacteriaceae (p=0.011) and Staphylococcaceae (p= 0.006). Triplot analysis suggested that the dominant phyla of Verrucomicrobia, TM7 and Actinobacteria were clearly related to the addition of green tea. Moreover, green tea addition influenced the construction of microbiota, and lengthened the villus in ileum by Monte Carlo permutation test. These findings provide a new understanding of the ileal microbial ecology, which may be useful in modulating the gut microbiome, and also the proper usage of powdered green tea.
2015-09-29 | GSE73516 | GEO
Project description:BACKGROUND: Evaluation of the airway transcriptome may reveal patterns of gene expression that are associated with clinical phenotypes of asthma. To define transcriptomic endotypes of asthma (TEA) we analyzed gene expression in induced sputum that correlate with phenotypes of disease. METHODS: Gene expression was measured in sputum of subjects with asthma using Affymetrix HuGene ST 1.0 microarrays. Unsupervised clustering analysis of genes in pathways selected from the Kyoto Encyclopedia of Genes and Genomes (KEGG) identified TEA clusters. Clinical characteristics were compared and logistic regression analysis of matched blood samples defined an expression profile to determine the TEA cluster assignment in a cohort of children with asthma for validation. RESULTS: Three TEA clusters were identified. TEA cluster 1 had the most subjects with a history of intubation (P = 0.05), a lower pre-bronchodilator FEV1 (P = 0.006), a higher bronchodilator response (P = 0.03), and higher exhaled nitric oxide levels (P = 0.04), compared to the other TEA clusters. TEA cluster 2, the smallest cluster had the most subjects that were hospitalized for asthma (P = 0.04). Subjects in TEA cluster 3, the largest cluster, had normal lung function, low exhaled nitric oxide levels, and lower inhaled steroid requirements. Evaluation of TEA clusters in children confirmed that TEA clusters 1 and 2 are associated with a history of intubation (P = 5.58 x 10-06) and hospitalization (P = 0.01), respectively. CONCLUSIONS: Patterns of gene expression in the sputum and blood reveal TEA clusters that are associated with severe asthma phenotypes in children and adults. Gene expression was measured in sputum of subjects with asthma using Affymetrix HuGene ST 1.0 microarrays. Unsupervised clustering analysis of genes in pathways selected from the Kyoto Encyclopedia of Genes and Genomes (KEGG) identified TEA clusters. Clinical characteristics were compared and logistic regression analysis of matched blood samples defined an expression profile to determine the TEA cluster assignment in a cohort of children with asthma for validation.
2014-04-07 | E-GEOD-56396 | biostudies-arrayexpress
Project description:<p>The induced capacity of plant growth-defense trade-offs under biotic stress is increasingly recognized. While many studies mainly focus on plants’ defense activation stage during insect attacks, limited attention has been given to post-stress recovery. Herein, leaves from normal and post-herbivory tea plants were collected during the compensation stage, and their microbiomes, metabolomes, and transcriptomes were used to dissect the mechanisms underlying growth-defense trade-offs. The results revealed that apart from altering the microbial community diversity, insect herbivory significantly enriched leaf-associated pathogens, particularly Alternaria spp. Network analysis and in-situ separation jointly revealed the role of Sphingomonas aquatilis in resisting pathogen invasion. Meanwhile, the restructured microbiota exhibited stronger network stability, indicating the enhancement of pathogen resistance among the endophytic community. Moreover, we found that downregulated flavonoids were defense compounds against pathogens and upregulated saccharides were plant growth-promoting compounds, which were verified in subsequent tests. Overall, tea plants compensate for reduced defense through restructuring of the endophytic microbiota, and prioritize growth over defense through metabolic resetting after insect herbivory. This study also revealed new biocontrol and growth-promoting resources for tea plants.</p>
2025-07-02 | MTBLS12664 | MetaboLights