Bacterial Resistance Screening
Bacterial Resistance Screening - Related Videos
02:30
Seedling Flood Assay for Screening Bacterial Resistance in Tomatoes
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2025
Source: Hassan, J. A., et al. High-Throughput Identification of Resistance to Pseudomonas syringae pv. Tomato in Tomato using Seedling Flood Assay. J. Vis. Exp. (2020).This video demonstrates a method to screen for bacterial resistance in different tomato strains using ten-day-old seedlings inoculated with a bacterial suspension. It explains how bacteria invade through stomata, deliver effector proteins to suppress plant immunity, and how plant responses differ between susceptible and resistant...
08:17
VIGS-Mediated Forward Genetics Screening for Identification of Genes Involved in Nonhost Resistance
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Cited by 22 •
2013
Virus-induced gene silencing is an useful tool for identifying genes involved in nonhost resistance of plants. We demonstrate the use of bacterial pathogens expressing GFPuv in identifying gene silenced plants susceptible to nonhost pathogens. This approach is easy, fast and facilitates large scale screening and similar protocol can be applied to studying various other plant-microbe interactions.
03:14
Assessing the Role of Gene Copy Number in the Evolution of Bacterial Antibiotic Resistance
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2026
Source: Escudero, J. A., et.al. Testing the Role of Multicopy Plasmids in the Evolution of Antibiotic Resistance. J. Vis. Exp. (2018)This video demonstrates how escalating cefazidime exposure is used to compare the survival of three E. coli strains with different copies of the ampicillin resistance gene. It shows that only the strain with a multicopy plasmid survives at higher drug levels, highlighting how increased gene copy number accelerates resistance evolution.
02:57
Assessing Intracellular Bacterial Persistence and Antibiotic Resistance in a Mouse Model
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2026
Source: Zhang, C., et al., Development and Assessment of Intracellular Infection Models for Staphylococcus aureus. J. Vis. Exp. (2025)The video demonstrates the isolation of kidneys containing Staphylococcus aureus-infected macrophages, followed by tissue homogenization to release intracellular bacteria. It quantifies bacterial persistence within macrophages in control and antibiotic-treated groups by counting colony-forming units.
02:55
Determining the Role of Vitronectin in Bacterial Resistance to Bactericidal Activity of Human Serum
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2025
This video demonstrates the role of vitronectin, a human serum glycoprotein, on bacterial resistance. Antibodies in the serum interact with bacterial surface proteins, activating complement proteins and forming the membrane attack complex, causing bacterial cell lysis. Vitronectin binding on bacterial membrane protein prevents the membrane attack complex formation, resulting in bacterial survival.
FAQs
The comparison depends on whether bacterial growth persists across defined antibiotic concentrations relative to an untreated control. Growth measurements are assembled into a susceptibility profile, allowing isolates to be characterized by their observed response rather than by assumptions about treatment performance. This phenotype-level information supports comparisons among isolates and helps identify patterns associated with resistance.
A minimum inhibitory concentration provides a concentration-based summary of the antibiotic level associated with inhibition in the assay. Including this value makes susceptibility profiles more informative than a simple growth or no-growth observation, because researchers can compare responses across isolates, examine resistance patterns, and evaluate how candidate drugs perform under defined testing conditions.
The untreated control establishes the growth reference for bacteria that were not exposed to the antimicrobial compound. Researchers can then interpret reduced or persistent growth in exposed samples against that baseline rather than viewing the measurement in isolation. This comparison strengthens the assessment of inhibition and supports reliable construction of a susceptibility profile.
A typical workflow exposes bacterial isolates to defined concentrations of an antibiotic, measures or compares growth, and evaluates the results against an untreated control. The resulting observations are organized into a susceptibility profile, which may include a minimum inhibitory concentration. This sequence connects the experimental exposure directly to an interpretable resistance phenotype.
The method allows researchers to test how bacterial isolates respond to candidate antimicrobial compounds under defined concentration conditions. Comparing growth outcomes and susceptibility profiles can reveal whether a candidate inhibits the isolates being studied. These results support early evaluation of drug performance and help place candidate compounds within broader investigations of treatment failure and resistance.
In clinical biology, screening results can inform antimicrobial selection and help investigate resistance patterns associated with treatment failure. In environmental biology, the same approach supports surveillance of resistance phenotypes and studies of how resistance emerges and spreads. Across both settings, standardized growth comparisons provide evidence for tracking resistance and developing strategies to limit resistant infections.