Urinary Bacteria Genomes
Urinary Bacteria Genomes - Related Videos
12:08
Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
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Cited by 9 •
2021
This protocol details a comprehensive approach for the culturing, sequencing, and de novo hybrid genome assembly of urinary bacteria. It provides a reproducible procedure for the generation of complete, circular genome sequences useful in studying both chromosomal and extrachromosomal genetic elements contributing to urinary colonization, pathogenesis, and antimicrobial resistance dissemination.
02:53
Generating Urinary Tract Infection Model: A Technique to Administer Uropathogenic Bacteria in Mouse to Develop Urinary Tract Infection Model
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2025
In this video, we describe the technique for the intravesical administration of uropathogenic bacteria to generate a urinary tract infection model in mice. This model can be used to understand the spread of uropathogenic bacterial infection within the urinary system and the mechanisms that determine UTI susceptibility.
02:52
Isolation of Gram-Negative Bacteria with Genomic Transposon Insertions
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2025
Source: Kazi, M. I., et. al., Generating Transposon Insertion Libraries in Gram-Negative Bacteria for High-Throughput Sequencing. J. Vis. Exp. (2020)This video demonstrates the selection, quantification, and preservation of Gram-negative recipient bacteria carrying transposon insertions based on kanamycin resistance.
05:05
A Modified Precipitation Method to Isolate Urinary Exosomes
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Cited by 32 •
2015
This manuscript describes a protocol for isolating exosomes from human urine using a modified precipitation technique.
05:43
Extraction of Genomic DNA from Plant Leaf Tissue Infected with Pathogenic Bacteria
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2025
Source: Gulla, S., et al. Multi-locus Variable-number Tandem-repeat Analysis of the Fish-pathogenic Bacterium Yersinia ruckeri by Multiplex PCR and Capillary Electrophoresis. J. Vis. Exp. (2019).This protocol extracts genomic DNA from Yersinia ruckeri by suspending isolated colonies in ultrapure water and applying heat to lyse the cells. Centrifugation separates the DNA-containing supernatant from cell debris, yielding template DNA suitable for PCR-based genotyping and epidemiological analysis.
FAQs
Assembly reconstructs longer DNA sequences from the reads produced during sequencing, while annotation identifies the genes and other biologically relevant features represented in that sequence. This progression connects raw sequence data with interpretable genetic information, allowing researchers to examine bacterial metabolism, surface structures, antimicrobial resistance, and interactions with the host.
Researchers can examine genes associated with metabolism, surface structures, antimicrobial resistance, and interactions with the host. These features help connect bacterial DNA with traits relevant to survival in the urinary tract and clinical behavior. Examining several feature categories together provides a broader genetic context than focusing on antimicrobial resistance alone.
Genome comparisons reveal differences among bacterial strains and can identify patterns related to strain diversity, transmission, and adaptation to the urinary environment. They may also clarify whether recurrent infections involve related bacterial populations. This comparative approach gives genetics researchers a way to connect sequence variation with epidemiological and clinical patterns.
Comparing genomes across isolates can show whether bacteria associated with separate episodes are genetically related and can highlight differences that may reflect adaptation to the urinary environment. Such findings help investigate possible causes of recurrence without relying only on organism identification. The resulting genetic context can support more precise study of infection patterns.
A typical workflow begins with bacterial DNA obtained from urinary isolates or samples. Researchers then sequence the DNA, assemble the resulting reads into genome sequences, and annotate those sequences to identify relevant genes. They can subsequently compare genomes across isolates or strains to investigate diversity, transmission patterns, adaptation, and recurrent infection.
These genomes support pathogen identification and epidemiology by providing genetic information for comparing bacterial isolates. They also contribute to antimicrobial stewardship when researchers examine genes linked to antimicrobial resistance. By revealing relationships among strains and clinically relevant genetic features, genome analysis can strengthen investigations of urinary infections and their spread.
Genomic findings can identify bacterial genes associated with resistance, metabolism, surface structures, and host interactions. Those data support the development of more precise diagnostic and therapeutic strategies by linking bacterial genetic variation with clinically relevant characteristics. They also provide a foundation for studying how urinary bacteria adapt and why particular infection patterns occur.