Ontology highlight
ABSTRACT:
PROVIDER: PRJNA305688 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Diagnosis of infectious diseases by sequencing
| PRJDB7111 | ENA
Project description:Because antibiotics have been widely used to prevent severe losses due to infectious fishery diseases, the liberal application and overuse of antibiotics has led to the spread and evolution of bacterial resistance, food safety hazards, and environmental issues. The use of some antibiotics, including florfenicol and enrofloxacin, is allowed in aquaculture in China. Accordingly, to better address the concerns and questions associated with the impact of administered enrofloxacin and florfenicol to grass carp, here we investigated the immune response, bacterial diversity, and transcriptome of the intestine of C. idella treated with these oral antibiotics. The aim of this study was to provide an in-depth evaluation of the antibiotic-induced patterns and dynamics of the microbiota grass carp and the potential mechanism involved.
2022-08-08 | E-MTAB-12057 | biostudies-arrayexpress
Project description:Metagenomic Epidemiology of Antibiotic Resistance in Infectious Diarrhea
| PRJNA358636 | ENA
Project description:Metagenomic Epidemiology of Antibiotic Resistance in Infectious Diarrhea
| PRJNA358637 | ENA
Project description:Using Nanopore sequencing, our study has revealed a close correlation between genomic methylation levels and antibiotic resistance rates in Acinetobacter Baumannii. Specifically, the combined genome-wide DNA methylome and transcriptome analysis revealed the first epigenetic-based antibiotic-resistance mechanism in A. baumannii. Our findings suggest that the precise location of methylation sites along the chromosome could provide new diagnostic markers and drug targets to improve the management of multidrug-resistant A. baumannii infections.
2023-09-01 | E-MTAB-13272 | biostudies-arrayexpress
Project description:Global surveillance of infectious diseases and antimicrobial resistance from sewage
| PRJEB13831 | ENA
Project description:Local surveillance of infectious diseases and antimicrobial resistance from sewage
| PRJEB13832 | ENA
Project description:Persisters, a dormant and multi-drug tolerant subpopulation that are able to resuscitate after antibiotic treatment, have recently received considerable attentions as the major risk of the relapse of various infectious diseases in clinics. However, due to their low abundance and inherent mutability, it is extremely difficult to study them by proteomics. Here, we developed a magnetic beads-based separation approach to enrich Escherichia coli persisters and then subject them to Filter-Aided Sample Perparation (FASP) followed by LC-MS/MS analysis. We applied spectral counting-based quantitative proteomics to study the proteomic changes of E. coli persisters under high concentration of ampicillin treatment.
2018-10-16 | PXD010590 | Pride
Project description:<p>The study of antimicrobial resistance (AMR) in infectious diarrhea has generally been limited to cultivation, antimicrobial susceptibility testing and targeted PCR assays. When individual strains of significance are identified, whole genome shotgun (WGS) sequencing of important clones and clades is performed. Genes that encode resistance to antibiotics have been detected in environmental, insect, human and animal metagenomes and are known as "resistomes". While metagenomic datasets have been mined to characterize the healthy human gut resistome in the Human Microbiome Project and MetaHIT and in a Yanomani Amerindian cohort, directed metagenomic sequencing has not been used to examine the epidemiology of AMR. Especially in developing countries where sanitation is poor, diarrhea and enteric pathogens likely serve to disseminate antibiotic resistance elements of clinical significance. Unregulated use of antibiotics further exacerbates the problem by selection for acquisition of resistance. This is exemplified by recent reports of multiple antibiotic resistance in Shigella strains in India, in Escherichia coli in India and Pakistan, and in nontyphoidal Salmonella (NTS) in South-East Asia. We propose to use deep metagenomic sequencing and genome level assembly to study the epidemiology of AMR in stools of children suffering from diarrhea. Here the epidemiology component will be surveillance and analysis of the microbial composition (to the bacterial species/strain level where possible) and its constituent antimicrobial resistance genetic elements (such as plasmids, integrons, transposons and other mobile genetic elements, or MGEs) in samples from a cohort where diarrhea is prevalent and antibiotic exposure is endemic. The goal will be to assess whether consortia of specific mobile antimicrobial resistance elements associate with species/strains and whether their presence is enhanced or amplified in diarrheal microbiomes and in the presence of antibiotic exposure. This work could potentially identify clonal complexes of organisms and MGEs with enhanced resistance and the potential to transfer this resistance to other enteric pathogens.</p> <p>We have performed WGS, metagenomic assembly and gene/protein mapping to examine and characterize the types of AMR genes and transfer elements (transposons, integrons, bacteriophage, plasmids) and their distribution in bacterial species and strains assembled from DNA isolated from diarrheal and non-diarrheal stools. The samples were acquired from a cohort of pediatric patients and controls from Colombia, South America where antibiotic use is prevalent. As a control, the distribution and abundance of AMR genes can be compared to published studies where resistome gene lists from healthy cohort sequences were compiled. Our approach is more epidemiologic in nature, as we plan to identify and catalogue antimicrobial elements on MGEs capable of spread through a local population and further we will, where possible, link mobile antimicrobial resistance elements with specific strains within the population.</p>
| phs001260 | dbGaP