Project description:Gut microbiome research is rapidly moving towards the functional characterization of the microbiota by means of shotgun meta-omics. Here, we selected a cohort of healthy subjects from an indigenous and monitored Sardinian population to analyze their gut microbiota using both shotgun metagenomics and shotgun metaproteomics. We found a considerable divergence between genetic potential and functional activity of the human healthy gut microbiota, in spite of a quite comparable taxonomic structure revealed by the two approaches. Investigation of inter-individual variability of taxonomic features revealed Bacteroides and Akkermansia as remarkably conserved and variable in abundance within the population, respectively. Firmicutes-driven butyrogenesis (mainly due to Faecalibacterium spp.) was shown to be the functional activity with the higher expression rate and the lower inter-individual variability in the study cohort, highlighting the key importance of the biosynthesis of this microbial by-product for the gut homeostasis. The taxon-specific contribution to functional activities and metabolic tasks was also examined, giving insights into the peculiar role of several gut microbiota members in carbohydrate metabolism (including polysaccharide degradation, glycan transport, glycolysis and short-chain fatty acid production). In conclusion, our results provide useful indications regarding the main functions actively exerted by the gut microbiota members of a healthy human cohort, and support metaproteomics as a valuable approach to investigate the functional role of the gut microbiota in health and disease.
Project description:Morphine and its pharmacological derivatives are the most prescribed analgesics for moderate to severe pain management. However, chronic use of morphine reduces pathogen clearance and induces bacterial translocation across the gut barrier. The enteric microbiome has been shown to play a critical role in the preservation of the mucosal barrier function and metabolic homeostasis. Here, we show for the first time, using bacterial 16s rDNA sequencing, that chronic morphine treatment significantly alters the gut microbial composition and induces preferential expansion of the gram-positive pathogenic and reduction of bile-deconjugating bacterial strains. A significant reduction in both primary and secondary bile acid levels was seen in the gut, but not in the liver with morphine treatment. Morphine induced microbial dysbiosis and gut barrier disruption was rescued by transplanting placebo-treated microbiota into morphine-treated animals, indicating that microbiome modulation could be exploited as a therapeutic strategy for patients using morphine for pain management. In this study, we establish a link between the two phenomena, namely gut barrier compromise and dysregulated bile acid metabolism. We show for the first time that morphine fosters significant gut microbial dysbiosis and disrupts cholesterol/bile acid metabolism. Changes in the gut microbial composition is strongly correlated to disruption in host inflammatory homeostasis13,14 and in many diseases (e.g. cancer/HIV infection), persistent inflammation is known to aid and promote the progression of the primary morbidity. We show here that chronic morphine, gut microbial dysbiosis, disruption of cholesterol/bile acid metabolism and gut inflammation; have a linear correlation. This opens up the prospect of devising minimally invasive adjunct treatment strategies involving microbiome and bile acid modulation and thus bringing down morphine-mediated inflammation in the host.
Project description:Transcriptomes of organisms reveal differentiation associated with the use of different habitats. However, this leaves open how much of the observed differentiation can be attributed to genetic differences or to transcriptional plasticity. In this study, we disentangle causes of differential gene expression in larvae of the European fire salamander from the Kottenforst forest in Germany. Larvae inhabit permanent streams and ephemeral ponds and represent an example of a young evolutionary split associated with contrasting ecological conditions. We found ample evidence for differentiation among larvae occupying different habitats in nature with 2800 out of 11797 genes being differentially expressed based on transcriptome data from salamander sampled in their natural habitat (see GEO Series GSE100819). We then quantified transcriptional plasticity towards temperature and genetic differentiation based on controlled temperature laboratory experiments. Gene-by-environment interactions modelling revealed that 28 % of the gene expression divergence observed among samples in nature could be attributed to plasticity related to water temperature. Expression patterns of only a small number of 101 genes were affected by the genotype. Our analysis demonstrates that effects of environmental factors must be taken into account to explain variation of gene expression in salamanders in nature. Notwithstanding, it provides first evidence that genetic factors determined gene expression divergence between pond and stream ecotypes and could be involved in adaptive evolution.
Project description:Plethodontid salamanders are the largest family of salamanders and are classic models for studying the effect of rapidly evolving courtship pheromones on mating behavior and reproductive success. Despite interests in plethodontid reproduction, very little is known about the molecular composition of salamander gametes, as the extraordinary sizes of their genomes have impaired the development of various omic-scale resources. To identify what proteins may be expressed in salamander sperm, we performed DIA-MS on sperm samples from two plethodontid species, Plethodon shermani and Desmognathus ocoee. As the first detailed study of salamander sperm, this study partially fills in a critical taxonomic gap in the study of fertilization proteins in vertebrates.
Project description:Opioid analgesics are frequently prescribed in the United States and worldwide. However, serious side effects such as addiction, immunosuppression and gastrointestinal symptoms limit long term use. In the current study using a chronic morphine-murine model a longitudinal approach was undertaken to investigate the role of morphine modulation of gut microbiome as a mechanism contributing to the negative consequences associated with opioids use. The results revealed a significant shift in the gut microbiome and metabolome within 24 hours following morphine treatment when compared to placebo. Morphine induced gut microbial dysbiosis exhibited distinct characteristic signatures profiles including significant increase in communities associated with pathogenic function, decrease in communities associated with stress tolerance. Collectively, these results reveal opioids-induced distinct alteration of gut microbiome, may contribute to opioids-induced pathogenesis. Therapeutics directed at these targets may prolong the efficacy long term opioid use with fewer side effects.
Project description:Opioids such as morphine have many beneficial properties as analgesics, however, opioids may induce multiple adverse gastrointestinal symptoms. We have recently demonstrated that morphine treatment results in significant disruption in gut barrier function leading to increased translocation of gut commensal bacteria. However, it is unclear how opioids modulate the gut homeostasis. By using a mouse model of morphine treatment, we studied effects of morphine treatment on gut microbiome. We characterized phylogenetic profiles of gut microbes, and found a significant shift in the gut microbiome and increase of pathogenic bacteria following morphine treatment when compared to placebo. In the present study, wild type mice (C57BL/6J) were implanted with placebo, morphine pellets subcutaneously. Fecal matter were taken for bacterial 16s rDNA sequencing analysis at day 3 post treatment. A scatter plot based on an unweighted UniFrac distance matrics obtained from the sequences at OTU level with 97% similarity showed a distinct clustering of the community composition between the morphine and placebo treated groups. By using the chao1 index to evaluate alpha diversity (that is diversity within a group) and using unweighted UniFrac distance to evaluate beta diversity (that is diversity between groups, comparing microbial community based on compositional structures), we found that morphine treatment results in a significant decrease in alpha diversity and shift in fecal microbiome at day 3 post treatment compared to placebo treatment. Taxonomical analysis showed that morphine treatment results in a significant increase of potential pathogenic bacteria. Our study shed light on effects of morphine on the gut microbiome, and its role in the gut homeostasis.
Project description:"Here, we studied well-phenotyped individuals from the Flemish Gut Flora Project (FGFP, N=1,106, Belgium) and the effect of environments on microbiome."
Project description:A custom 8x60 k expression microarray for larvae of European fire salamander (Salamandra salamandra) was designed based on transcriptome sequencing. It is known the fact, that oligonucleotide probes differ in the binding behavior towards their target sequences. Therefore, we performed a calibration of our microarray where we assessed the binding behavior of the individual probes empirically. This information was used to normalize gene expression data measurements with the same microarray in another experiment. Please refer to the accompanying publication (Czypionka et al. 2015." Ecological transcriptomics – a non-lethal sampling approach for endangered fire salamanders" Methods in Ecology and Evolution) for more information. Labeled cRNA was prepared from Salamander larvae kept at 9°C and 17°C. A cRNA calibration pool was prepared with equimolar amounts of cRNA prepared from (a) a larvae (temperature: 9°C: source: pond KOE), (b) a larvae (temperature: 17°C: source: pond KOE), (c) a larvae (temperature: 9°C: source: stream KoGB (Klufterbach) and (d) a larvae (temperature: 17°C: source: stream KoGB (Klufterbach). See Steinfartz et al. (2007) (doi: 10.1111/j.1365-294X.2007.03490.x) for information of the source populations. Increasing amounts of labeled cRNA (75 ng, 150 ng, 300 ng, 600 ng, 1000 ng, 1400 ng, 1800 ng, 2200 ng), corresponding to (1/8, 1/4, 1/2, 1, 1 2/3, 2 1/3, 3 and 3 3/3 times the recommended amount of 600 ng) were hybridized to 8 microarrays (one microarray per dilution). The change in observed signal intensity in relation to the change in amount of labeled cRNA was used to infer the target-binding behavior of the individual probes. This information was extracted, to be used for a normalization procedure in another experiment with the same microarray (see Czypionka et al. 2015." Ecological transcriptomics – a non-lethal sampling approach for endangered fire salamanders" Methods in Ecology and Evolution). The current study provides only raw data for a calibration experiment, to validate the binding behavior of the different probes on a newly designed microarray for a non model organism (European Fire salamander). This calibration is based only on raw data. More information on targeted genes is provided in a different GEO dataset (currently submitted), where biological meaningful analysis are performed with data which are normalized based on this calibration.
Project description:Abstract: Many mouse models of neurological disease use the tetracycline transactivator (tTA) system to control transgene expression by oral treatment with the broad-spectrum antibiotic doxycycline. Antibiotic treatment used for transgene control might have undesirable systemic effects, including the potential to affect immune responses in the brain via changes in the gut microbiome. Recent work has shown that an antibiotic cocktail to perturb the gut microbiome can suppress microglial reactivity to brain amyloidosis in transgenic mouse models of Alzheimer's disease based on controlled overexpression of the amyloid precursor protein (APP). Here we assessed the impact of chronic low dose doxycycline on gut microbiome diversity and neuroimmune response to systemic LPS challenge in a tTA-regulated model of Alzheimer's amyloidosis. We show that doxycycline decreased microbiome diversity in both APP transgenic and wild-type mice and that these changes persisted long after drug withdrawal. Despite this change in microbiome composition, dox treatment had minimal effect on transcriptional signatures in the brain, both at baseline and following acute LPS challenge. Our findings suggest that central neuroinflammatory responses may be less affected by dox at doses needed for transgene control than by antibiotic cocktail at doses used for microbiome manipulation.