Triatominae microbiome
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB25175 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR2359937_1.fastq.gz | Fastqsanger.gz | |||
| ERR2359937_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 2 of 2 |
Similar Datasets
Project description:The clinical importance of microbiomes to the chronicity of wounds is widely appreciated, yet little is understood about patient-specific processes shaping wound microbiome composition. Here, a two-cohort microbiome-genome wide association study is presented through which patient genomic loci associated with chronic wound microbiome diversity were identified. Further investigation revealed that alternative TLN2 and ZNF521 genotypes explained significant inter-patient variation in relative abundance of two key pathogens, Pseudomonas aeruginosa and Staphylococcus epidermidis. Wound diversity was lowest in Pseudomonas aeruginosa infected wounds, and decreasing wound diversity had a significant negative linear relationship with healing rate. In addition to microbiome characteristics, age, diabetic status, and genetic ancestry all significantly influenced healing. Using structural equation modeling to identify common variance among SNPs, six loci were sufficient to explain 53% of variation in wound microbiome diversity, which was a 10% increase over traditional multiple regression. Focusing on TLN2, genotype at rs8031916 explained expression differences of alternative transcripts that differ in inclusion of important focal adhesion binding domains. Such differences are hypothesized to relate to wound microbiomes and healing through effects on bacterial exploitation of focal adhesions and/or cellular migration. Related, other associated loci were functionally enriched, often with roles in cytoskeletal dynamics. This study, being the first to identify patient genetic determinants for wound microbiomes and healing, implicates genetic variation determining cellular adhesion phenotypes as important drivers of infection type. The identification of predictive biomarkers for chronic wound microbiomes may serve as risk factors and guide treatment by informing patient-specific tendencies of infection.
2020-04-25 | GSE149314 | GEO
Project description:The role of domestic and peridomestic animals in vector-borne diseases is very important as they share a common environment with people having the potential to extend the network of pathogen transmission to humans. The most significant vector-borne infectious diseases that are shared by man, domestic and peridomestic animals are leishmaniosis, borreliosis, bartonellosis, ehrlichiosis, rickettsiosis and anaplasmosis with fleas acting as main vectors in the transmission of some of these diseases. Flea-borne diseases which are relevant in Europe include plague (caused by Yersinia pestis), murine typhus (caused by Rickettsia typhi), flea-borne spotted fever (Rickettsia felis), and cat scratch disease (Bartonella henselae). In the present study, mNGS was applied to detect and understand the composition of the microbial communities of five different species of fleas (Archaeopsylla erinacei, Ctenocephalides felis, Spilopsyllus cuniculi, Pulex irritans and Ctenocephalides canis) collected on dogs, cats and hedgehogs from Andalusia (Spain) to know the prevalence of pathogenic bacteria among synanthropic fleas. Based on our results, we could conclude that Pulicidae family encompassed those flea species with a close contact with humans and therefore more involved in the potential transmission of infectious diseases. The higher relative abundance of the Phylum Pseudomanadota was mainly due to the presence of the endosymbiont Wolbachia, as well as to notice a high relative abundance of both genera Rickettsia and Bartonella in all flea species. For the first time, we detected Babesia sp. in all species tested, especially with higher abundance in S. cuniculi collected from cats emphasizing the need for further investigation into its potential implications as vectors. Our results also demonstrate that the microbiota composition of fleas is largely influenced by the host they parasitize. Lastly, statistical analyses of microbiota allowed for the ecological separation of flea species, with individuals from these five species clustering distinctly each other.
2025-09-24 | GSE284667 | GEO
Project description:We developed an approach named Rapid Assay of Individual Microbiome (RapidAIM) to screen xenobiotics against individual microbiomes, and conducted a proof-of-concept (POC) study on the use of RapidAIM. We tested 43 compounds against five individual microbiomes. The individual microbiomes are cultured in 96-well plates for 24 hours and the samples are then analyzed using a metaproteomics-based analytical approach to gain functional insight into the individual microbiomes responses following drug treatments.The tested compounds significantly affected overall microbiome abundance, microbiome composition and functional pathways at multiple taxonomic levels. The microbiome responses to berberine, metformin, diclofenac, fructooligosaccharide and most antibiotics were consistent among most individual microbiomes. Interestingly, most of our tested NSAIDs, statins, and histamine-2 blockers induced individually distinct responses. Our workflow offers an effective solution to systematically study the effects of many different compounds on individual microbiomes.
2020-05-26 | PXD012724 | Pride
Project description:Search for SNPs associated with the pharmacogenomic profile of Benzidazole adverse reactions in Chagas Disease Homo sapiens patients.
2021-03-31 | GSE154421 | GEO
Project description:Gene expression profiles in T. cruzi strains isolated from individuals presenting the indeterminate and cardiac forms of Chagas disease. Genetic markers differentially expressed may be of potential use in diagnostic/prognostic tests and could assist the understanding of pathogenesis of Chagas disease Keywords: other
2005-10-08 | GSE1828 | GEO
Project description:The gut microbiome's pivotal role in health and disease is well-established. SARS-CoV-2 infection often causes gastrointestinal symptoms and is associated with changes of the microbiome in both human and animal studies. While hamsters serve as important animal models for coronavirus research, there exists a notable void in the functional characterization of their microbiomes with metaproteomics. In this study, we present a workflow for analyzing the hamster gut microbiome, including a metagenomics-derived hamster gut microbial protein database and a data-independent acquisition metaproteomics method. Using this workflow, we identified 32419 protein groups from the fecal microbiomes of young and old hamsters infected with SARS-CoV-2. We showed age-specific changes in the expressions of microbiome functions and host proteins associated with microbiomes, providing further functional insight into the dysbiosis and aberrant cross-talks between the microbiome and host in SARS-CoV-2 infection. Altogether this study established and demonstrated the capability of metaproteomics for the study of hamster microbiomes.
2025-05-13 | PXD057158 | Pride
Project description:Human cardiomyocyte responses to Chagas disease
2019-06-24 | GSE129676 | GEO