Arabidopsis Infection
Arabidopsis Infection - Related Videos
04:29
Assessing Pseudomonas syringae Infection Load in Arabidopsis thaliana Leaves
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2026
Source: Liu, X., et al. Bacterial Leaf Infiltration Assay for Fine Characterization of Plant Defense Responses using the Arabidopsis thaliana-Pseudomonas syringae Pathosystem. J. Vis. Exp. (2015).This video demonstrates a method to assess the bacterial load in Arabidopsis thaliana leaves infected with Pseudomonas syringae. Leaf discs from infected leaves are homogenized, serially diluted, and plated onto nutrient-rich agar to promote bacterial colony formation. Colony counts are then used to...
10:24
A Method for Characterizing Embryogenesis in Arabidopsis
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Cited by 11 •
2017
This protocol outlines a method for observing embryogenesis in Arabidopsis via ovule clearance followed by the inspection of embryo pattern formation under a microscope.
03:03
Inoculating a Bacterial Pathogen into Arabidopsis Leaves via Vacuum Infiltration
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2026
Source: Rufián, J. S., et.al. Single-Cell Analysis of the Expression of Pseudomonas syringae Genes within the Plant Tissue. J. Vis. Exp. (2022)This video demonstrates a vacuum infiltration method to introduce a bacterial pathogen into Arabidopsis plant leaves. The approach uses a prepared bacterial suspension and vacuum pulses to enable uniform entry through stomata, resulting in controlled leaf infection.
09:23
Lateral Root Inducible System in Arabidopsis and Maize
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Cited by 8 •
2016
The Lateral Root Inducible System (LRIS) allows for synchronous induction of lateral roots and is presented for Arabidopsis thaliana and maize.
08:13
Standardized Method for High-throughput Sterilization of Arabidopsis Seeds
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Cited by 143 •
2017
The objective of this study was to determine the effects of bleach and chlorine gas sterilization on seed germination of a range of Arabidopsis genotypes grown on sterile media. Optimized sterilization protocols have been developed to prevent the growth of microbial contaminants while providing satisfactory seed survival.
FAQs
Pathogen-associated molecular patterns, or PAMPs, are detected at the plant cell surface and activate pattern-triggered immunity. This early response provides a first layer of defense before researchers assess later infection outcomes. Measuring immune signaling alongside pathogen growth helps connect recognition at the cell surface with the plant’s broader capacity to restrict disease.
Pathogen effectors can suppress defenses activated by pattern recognition, allowing infection to progress despite initial plant responses. However, the same effectors may be recognized by the plant, triggering the stronger effector-triggered immunity. This opposing role makes effectors important for studying how pathogens manipulate host defenses and how plants detect those countermeasures.
Pattern-triggered immunity begins when pathogen-associated molecular patterns activate defenses at the plant cell surface. Effector-triggered immunity arises when the plant recognizes pathogen effectors, which can otherwise suppress those defenses. Comparing the two responses allows researchers to examine layered immune protection, from initial surface detection to a stronger response directed against pathogen strategies.
Defined genetic backgrounds help researchers connect differences in infection outcomes to plant genetic factors rather than uncontrolled variation. Using these backgrounds, investigators can compare pathogen growth, immune signaling, gene expression, and disease symptoms under controlled conditions. This approach supports analysis of how particular genetic contexts influence host defense and pathogen interaction.
A controlled experiment begins by inoculating Arabidopsis with a selected microbial pathogen, such as a bacterium, fungus, virus, or oomycete. Researchers then evaluate outcomes including pathogen growth, immune signaling, gene expression, and visible disease symptoms. Keeping the inoculation and genetic background defined makes comparisons between experimental conditions more interpretable.
Pathogen growth indicates how successfully the microbe develops in the plant, whereas disease symptoms provide a visible measure of plant health. When these observations are combined with immune signaling and gene-expression data, researchers can relate molecular defense activity to infection severity. The resulting measurements help characterize host-pathogen interactions in a unified experimental system.
The system links molecular defense mechanisms with plant health, making it useful for investigating host-pathogen interactions and disease resistance. Findings can help identify pathways relevant to crop protection, even though the experiments use Arabidopsis. Its controlled genetic and infection conditions also support comparisons of responses to bacterial, fungal, viral, and oomycete pathogens.