Ontology highlight
ABSTRACT:
PROVIDER: PRJNA931270 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR23418441_1.fastq.gz | Fastqsanger.gz | |||
| SRR23418441_2.fastq.gz | Fastqsanger.gz | |||
| SRR23418442_1.fastq.gz | Fastqsanger.gz | |||
| SRR23418442_2.fastq.gz | Fastqsanger.gz | |||
| SRR23418443_1.fastq.gz | Fastqsanger.gz |
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2018-04-16 | E-MTAB-5550 | biostudies-arrayexpress
Project description:Babesia bovis exposed tissues: Three tissues were looked at. 1. Adult Female Gut 2. Adult Ovary 3. Larvae. In all there are 24 measurements for feature (EST), and 4 measurements per treatment for each of the 6 treatment groups. The 6 treatment groups are: Gut infected (GI), Gut control (GC), and similarly for Ovary and Larval: OI, OC, LI, LC. There are 12 chips, each with a spot replicate. **Note: contact person: Felix D. Guerrero email: felix.guerrero@ars.usda.gov Keywords: Rhipicephalus (Boophilus) microplus, Babesia, microarrays.
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Project description:Instability in the composition of gut bacterial communities, referred as dysbiosis, has been associated with important human intestinal disorders such as Crohn’s disease and colorectal cancer. Our data showed that Nod2-mediated risk of intestinal inflammation in colitis model is communicable to WT mice by cohousing. Here, we investigated if Nod2-deficient mice microbiota is able to change transcript profiles in Nod2-immunocompetent mice (C57Bl6/J mice) independently of colitis.
2013-01-02 | GSE36481 | GEO
Project description:Babesia bovis exposed tissues: Three tissues were looked at. 1. Adult Female Gut 2. Adult Ovary 3. Larvae. In all there are 24 measurements for feature (EST), and 4 measurements per treatment for each of the 6 treatment groups. The 6 treatment groups are: Gut infected (GI), Gut control (GC), and similarly for Ovary and Larval: OI, OC, LI, LC. There are 12 chips, each with a spot replicate. **Note: contact person: Felix D. Guerrero email: felix.guerrero@ars.usda.gov Keywords: Rhipicephalus (Boophilus) microplus, Babesia, microarrays. In the study presented here, 12 hybridizations were performed. Expression profiles for 13601 unique ESTs were analyzed. Uninfected ticks were collected in one batch, as were the infected ticks. Replicates performed are technical.
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Project description:The host genotype has been proposed to contribute to individually composed bacterial communities in the gut. To provide deeper insight into interactions between gut bacteria and their host, we associated germ-free C3H and C57BL/10 mice with intestinal bacteria from a C57BL/10 donor mouse. Analysis of microbiota similarity between the experimental animals with denaturing gradient gel electrophoresis (DGGE) 13 weeks after association revealed the development of a mouse strain specific microbiota. Gene expression in the colonic mucosa was analyzed with a microarray approach taking advantage of a modified Affymetrix mouse genome chip. We detected 202 genes whose expression differed significantly by a factor of < 2. Application of bioinformatics tools demonstrated that functional terms including signaling/secretion, lipid degradation/catabolism, guanine nucleotide/guanylate binding and immune response were significantly enriched in differentially expressed genes. We had a closer look at the 56 genes with expression differences of < 4 and observed a higher expression in C57BL/10 mice of the genes coding for toll-like receptor 1 (4-fold) and angiogenin 4 (33-fold) which are involved in the recognition and response to gut bacteria. In contrast, a 70-fold higher expression of the phospholipase A2, group IIA-encoding gene (Pla2g2a) was detected in C3H mice. In addition, a number of interferon-inducible genes were higher expressed in C3H than in C57BL/10 mice including Gbp1 (18-fold), Mal (7-fold), Oasl2 (7-fold), Ifi202b (7-fold), Rtp4 (6-fold), Ly6g6c (5-fold), Ifi27l2a (5-fold), Usp18 (5-fold), Ifit1 (5-fold), Ifi44 (4-fold), and Ly6g (4-fold) indicating that these cytokines play an essential role in microbiota regulation. However, genes coding for interferons, their receptors or factors involved in interferon signaling pathways were not differentially expressed between the two mouse strains. Taken together, our study confirms that the host genotype is involved in the establishment of host-specific bacterial communities in the gut. Based on expression differences after colonization with the same bacterial inoculum, we propose that Pla2g2a and interferon-dependent genes may contribute to this phenomenon. Total RNA was extracted from the colonic mucosa and hybridization was performed using 12.5M-BM- M-bM-^@M-^SM-BM- 20M-BM- M-BM-5g of cDNA on a customized Affymetrix nugomm 1a520177 chip.
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Project description:Genome scale metabolic model of Drosophila gut microbe Acetobacter fabarum
Abstract -
An important goal for many nutrition-based microbiome studies is to identify the metabolic function of microbes in complex microbial communities and their impact on host physiology. This research can be confounded by poorly understood effects of community composition and host diet on the metabolic traits of individual taxa. Here, we investigated these multiway interactions by constructing and analyzing metabolic models comprising every combination of five bacterial members of the Drosophila gut microbiome (from single taxa to the five-member community of Acetobacter and Lactobacillus species) under three nutrient regimes. We show that the metabolic function of Drosophila gut bacteria is dynamic, influenced by community composition, and responsive to dietary modulation. Furthermore, we show that ecological interactions such as competition and mutualism identified from the growth patterns of gut bacteria are underlain by a diversity of metabolic interactions, and show that the bacteria tend to compete for amino acids and B vitamins more frequently than for carbon sources. Our results reveal that, in addition to fermentation products such as acetate, intermediates of the tricarboxylic acid (TCA) cycle, including 2-oxoglutarate and succinate, are produced at high flux and cross-fed between bacterial taxa, suggesting important roles for TCA cycle intermediates in modulating Drosophila gut microbe interactions and the potential to influence host traits. These metabolic models provide specific predictions of the patterns of ecological and metabolic interactions among gut bacteria under different nutrient regimes, with potentially important consequences for overall community metabolic function and nutritional interactions with the host.IMPORTANCE Drosophila is an important model for microbiome research partly because of the low complexity of its mostly culturable gut microbiota. Our current understanding of how Drosophila interacts with its gut microbes and how these interactions influence host traits derives almost entirely from empirical studies that focus on individual microbial taxa or classes of metabolites. These studies have failed to capture fully the complexity of metabolic interactions that occur between host and microbe. To overcome this limitation, we reconstructed and analyzed 31 metabolic models for every combination of the five principal bacterial taxa in the gut microbiome of Drosophila This revealed that metabolic interactions between Drosophila gut bacterial taxa are highly dynamic and influenced by cooccurring bacteria and nutrient availability. Our results generate testable hypotheses about among-microbe ecological interactions in the Drosophila gut and the diversity of metabolites available to influence host traits.
2021-07-01 | MODEL2002040002 | BioModels