Bacteria
Ontology highlight
ABSTRACT:
PROVIDER: PRJDB11927 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| DRR324101_1.fastq.gz | Fastqsanger.gz | |||
| DRR324101_2.fastq.gz | Fastqsanger.gz | |||
| DRR324102_1.fastq.gz | Fastqsanger.gz | |||
| DRR385319_1.fastq.gz | Fastqsanger.gz |
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Project description:Study on the prevalence of antibiotic-resistant bacteria in water environment of southern Vietnam
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Project description:Assessing Within-Sample Genetic Diversity of Bacterial Foodborne Pathogens
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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
Project description:Cationic antimicrobial peptides (CAPs) are promising novel alternatives to conventional antibacterial agents, but the overlap in resistance mechanisms between small-molecule antibiotics and CAPs is unknown. Does evolution of antibiotic resistance decrease (cross-resistance) or increase (collateral sensitivity) susceptibility to CAPs? We systematically addressed this issue by studying the susceptibilities of a comprehensive set of antibiotic resistant Escherichia coli strains towards 24 antimicrobial peptides. Strikingly, antibiotic resistant bacteria frequently showed collateral sensitivity to CAPs, while cross-resistance was relatively rare. We identified clinically relevant multidrug resistance mutations that simultaneously elevate susceptibility to certain CAPs. Transcriptome and chemogenomic analysis revealed that such mutations frequently alter the lipopolysaccharide composition of the outer cell membrane and thereby increase the killing efficiency of membrane-interacting antimicrobial peptides. Furthermore, we identified CAP-antibiotic combinations that rescue the activity of existing antibiotics and slow down the evolution of resistance to antibiotics. Our work provides a proof of principle for the development of peptide based antibiotic adjuvants that enhance antibiotic action and block evolution of resistance.
2018-03-29 | GSE96706 | GEO
Project description:Prevalence and antibiotic resistance of Campylobacter spp. in retail chicken in Hanoi, Vietnam
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Project description:During an intracellular bacterial infection, the host cell and the infecting pathogen interact through a progressive series of events that may result in many distinct outcomes. To understand the specific strategies our immune system employs to manage attack by diverse pathogens, we sought to identify the unique and the core host and pathogen interactions that occur during infection: We compared in molecular detail the pathways induced across infection by seven diverse bacterial species that constitute many of the main human pathogens: Staphylococcus aureus, Listeria monocytogenes, Enterococcus faecalis, Group B Streptococcus, Yersinia pseudotuberculosis, Shigella flexneri and Salmonella enterica. We infected primary human macrophages with each species and used scRNA-Seq to generate a comprehensive dataset of gene expression profiles during bacterial infection. Examining the expression profiles of the infected macrophages across the pathogens, we discovered different modules of infection representing different states through which the infection progresses. The early module captures intra-cellular activity such as lysosome and degranulation, followed by type I IFN signaling, from which results in a cell death module, with a last mode of inflammatory response through response to IL-1. Comparing these modules across the pathogens, we found that their dynamics differ, with some modules active in all species and others which are present in some, but not all pathogens. Our work defines the hallmarks of host-pathogen interactions by identifying recurring properties of infection that can provide insight into diagnostics and therapeutic timing.
2022-12-14 | GSE145862 | GEO
Project description:Antibiotic resistance genes (ARGs) and virulence genes (VGs) associated with bacterial pathogens are of great concern in WWTPs, while current knowledge of their profiles and co-occurrence patterns in different time intervals is barely sufficient. Moreover, the impacts of treatment process on ARG/VGs diversity also remain clear. To this end, this study was launched to address the differences of the ARG/VGs diversity between an oxidation ditch (OD) and an membrane bioreactor (MBR) and the co-occurrence patterns in different time intervals using a functional gene array-GeoChip.
2018-12-19 | GSE124018 | GEO
Project description:The rise of antibiotic resistance in many bacterial pathogens has been driven by the spread of a few successful strains, suggesting that some bacteria are genetically pre-disposed to evolving resistance. We tested this hypothesis by challenging a diverse set of 222 strains of Staphylococcus aureus with the antibiotic ciprofloxacin in a large-scale evolution experiment. Surprisingly, we found that a single efflux pump, norA, causes widespread variation in evolvability across the diversity of S. aureus. In most lineages of S. aureus, elevated norA expression potentiated evolution by increasing the fitness benefit provided by resistance mutations in DNA topoisomerase under ciprofloxacin treatment. Amplification of norA provided a further mechanism of rapid evolution, but this was restricted to strains from CC398. Crucially, chemically inhibiting NorA effectively prevented the evolution of resistance across the diversity of S. aureus. Our study shows that the underlying genetic diversity of pathogenic bacteria plays a key role in shaping resistance evolution. Understanding this link makes it possible to predict which strains are likely to evolve resistance and to optimize inhibitor use to prevent this outcome.
2020-07-05 | GSE150762 | GEO