Bacterial genomics
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA715669 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR14003529.fastq.gz | Fastqsanger.gz | |||
| SRR14003529_1.fastq.gz | Fastqsanger.gz | |||
| SRR14003529_2.fastq.gz | Fastqsanger.gz | |||
| SRR14036157_1.fastq.gz | Fastqsanger.gz |
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Project description:he Nanopig™ model is an emerging non-rodent platform for (bio)pharmaceutical safety assessment, with potential advantages for translational research. Here, we report initial characterization results using whole genome sequencing (WGS) and tissue-based proteomics, focusing on drug metabolism and immune system relevance. WGS produced a high-quality Nanopig™ genome assembly (2.8–2.9 Gb), with >98 % alignment to the Duroc pig reference genome, and identified key metabolic and immune-related genes, including 47 cytochrome P450 (CYP450) genes with high homology to human CYP450 families. Proteomic profiling of 15 pharmaceutically relevant tissues revealed human orthologous drug metabolism enzymes and transporters (DMETs), as well as immune-related proteins, indicating similarities to human CYP450 enzyme abundance and tissue distribution. Functional evaluation of hepatic CYP450 activity yielded kinetic parameters (Km, Vmax) in the range observed in humans and beagle dogs. These early findings represent a foundational multi-omics dataset for the Nanopig™, suggesting its future use as a translational model in preclinical safety assessment. This work provides an early framework for species selection strategies and model optimization, with the long-term goal of reducing reliance on traditional non-rodent species in drug development.
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Project description:Determine in the context of a controlled crossover diet-intervention trial the role of taurocholic acid metabolism by gut bacteria in African American subjects at elevated risk for colorectal cancer (CRC). Two isocaloric diets, an animal-based diet high in taurine and saturated fat (HT-HSAT) and a plant-based, low in taurine and low saturated fat (LT-LSAT) will be used to determine the extent to which the relationship between diet (independent variable) and mucosal markers of CRC risk including epithelial proliferation, oxidative stress, DNA damage, and primary and secondary bile acid pools and biomarkers of inflammation (dependent variables) is explained by the abundance of sulfidogenic bacteria and hydrogen sulfide (H2S) concentrations &/or deoxycholic acid (DCA) and DCA-producing bacteria clostridium scindens (mediator variables).
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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