Root Infection Analysis
Root Infection Analysis - Related Videos
10:58
Plant Promoter Analysis: Identification and Characterization of Root Nodule Specific Promoter in the Common Bean
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Cited by 16 •
2017
Promoter expression analyses are crucial to improving the understanding of gene regulation and the spatiotemporal expression of target genes. Herein we present a protocol to identify, isolate, and clone a plant promoter. Further, we describe the characterization of the nodule-specific promoter in the common bean hairy roots.
11:46
High and Low Throughput Screens with Root-knot Nematodes Meloidogyne spp.
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Cited by 44 •
2012
Two distinct methods to screen plants with root-knot nematodes are described. The described approaches include high-throughput screens with nematodes in a nondestructive manner facilitating the use of these plants in breeding programs.
09:37
Extracting Metrics for Three-dimensional Root Systems: Volume and Surface Analysis from In-soil X-ray Computed Tomography Data
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Cited by 4 •
2016
A methodology for obtaining visual and quantitative root structure information from X-ray computed tomography data acquired in-soil is presented.
08:16
Inoculation Strategies to Infect Plant Roots with Soil-Borne Microorganisms
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Cited by 2 •
2022
This protocol presents a detailed summary of strategies to inoculate plant roots with soil-borne microbes. Exemplified for the fungi Verticillium longisporum and Verticillium dahliae, three different root infection systems are described. Potential applications and possible downstream analyses are highlighted, and advantages or disadvantages are discussed for each system.
13:54
Time-lapse Fluorescence Imaging of Arabidopsis Root Growth with Rapid Manipulation of The Root Environment Using The RootChip
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Cited by 43 •
2012
This article provides a protocol for cultivation of Arabidopsis seedlings in the RootChip, a microfluidic imaging platform that combines automated control of growth conditions with microscopic root monitoring and FRET-based measurement of intracellular metabolite levels.
FAQs
Genetic variation in the host and infectious agent can alter how colonization, recognition, and defense unfold. Differences among plant genotypes may be associated with susceptibility or resistance, while pathogen variation can affect invasion and relationships with particular hosts. Comparing these genetic differences helps connect infection outcomes with specific molecular features rather than treating all plants or pathogens as equivalent.
These molecular measurements provide complementary information. DNA sequences and genetic markers can help identify the infecting organism and distinguish genetic differences among hosts or pathogen strains. Gene-expression patterns show molecular changes associated with invasion, recognition, and host defense. Together, they connect the presence or identity of an agent with the biological responses linked to infection.
Genes associated with susceptibility or resistance help explain why related plants can respond differently to the same infectious agent. Their association with infection outcomes provides a genetic basis for studying host defense and vulnerability. In genetics research, this information can guide comparisons among plant varieties and support breeding strategies aimed at improving resistance.
Researchers can compare DNA sequences or genetic markers from infecting organisms to identify molecular differences and clarify relationships among pathogen strains. This comparison can show whether infections are associated with closely related or distinct strains. The resulting genetic context strengthens diagnosis and helps interpret why particular strains are linked with affected plants.
A supported workflow begins by examining genetic material or gene-expression patterns associated with the infected root, then comparing those results with relevant host or pathogen information. DNA-based comparisons can identify the infecting organism, while expression analysis can connect molecular changes with invasion, recognition, or defense. Interpreting both sources provides complementary evidence about the infection.
The approach is useful when researchers need to diagnose an infection, distinguish relationships among pathogen strains, or investigate genetic factors affecting plant responses. Its findings can identify resistance- or susceptibility-associated genes and clarify host-pathogen interactions. These outcomes support breeding resistant varieties and inform management strategies for infections that impair root function and reduce crop productivity.