Citrus Virus Detection
Citrus Virus Detection - Related Videos
11:30
Automating Citrus Budwood Processing for Downstream Pathogen Detection Through Instrument Engineering
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2023
We engineered, fabricated, and validated an instrument that rapidly processes phloem-rich bark citrus budwood tissues. Compared to current methods, the budwood tissue extractor (BTE) has increased sample throughput and decreased the required labor and equipment costs.
10:05
High-throughput Detection Method for Influenza Virus
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Cited by 8 •
2012
This method describes the use of Infrared dye based imaging system for detection of H1N1 in bronchioalveolar lavage (BAL) fluid of infected mice at a high sensitivity. This methodology can be performed in a 96- or 384-well plate, requires <10 μl volume of test material and has the potential for concurrent screening of multiple pathogens.
09:23
Specific and Accurate Detection of the Citrus Greening Pathogen Candidatus liberibacter spp. Using Conventional PCR on Citrus Leaf Tissue Samples
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Cited by 5 •
2018
Citrus Greening is a particularly destructive disease affecting citrus crops globally. Presented here is a simple method using PCR and genomic DNA extraction of citrus leaf tissue for the accurate and precise identification of the citrus greening pathogen, Candidatus liberibacter spp.
07:12
Determination of Self-(In)compatibility and Inter-(In)compatibility Relationships in Citrus Using Manual Pollination, Microscopy, and S-Genotype Analyses
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2023
This protocol provides a rapid method for determining pollen compatibility and incompatibility in citrus cultivars.
09:03
Field-Deployable Candidatus Liberibacter asiaticus Detection Using Recombinase Polymerase Amplification Combined with CRISPR-Cas12a
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Cited by 2 •
2022
In this work, a rapid, sensitive, and portable detection method for Candidatus Liberibacter asiaticus based on recombinase polymerase amplification combined with CRISPR-Cas12a was developed.
FAQs
Detection assays create a measurable signal by coupling recognition to a readout. Antibody binding provides evidence through viral proteins, whereas nucleic acid amplification increases the detectable presence of viral nucleic acids. Sequence-specific hybridization adds recognition based on a selected viral sequence. In bioengineering terms, the assay links a molecular event to an observable result that can be interpreted for plant health decisions.
These approaches rely on different recognition events. Antibody-based testing targets viral proteins, nucleic acid amplification targets viral genetic material by increasing its detectable presence, and sequence-specific hybridization identifies a selected viral sequence. Comparing these mechanisms helps match the evidence produced by an assay with the detection question, such as identifying viral material or distinguishing among viruses that produce similar effects.
Sequence-specific hybridization focuses recognition on a selected viral nucleic acid sequence rather than relying only on general disease effects in the plant. This molecular targeting can help separate viruses that produce similar changes in citrus health. As a result, the assay may provide more specific evidence about the pathogen present, supporting clearer interpretation than symptom observation alone.
A basic workflow begins by selecting the relevant citrus plant, tissue, or propagation material for examination. The chosen assay then targets viral proteins or nucleic acids through antibody binding, amplification, or sequence-specific hybridization. Researchers interpret the resulting measurable signal as evidence related to infection status. This workflow connects sample selection, molecular recognition, and disease-management decisions.
Testing is particularly important when planting material must be certified, when quarantine decisions are required, or when disease occurrence is being monitored across populations. It can also support management programs by identifying infections that may not yet show clear symptoms. These uses help protect crop production and reduce the risk that infected material will enter propagation or distribution pathways.
Within bioengineering, detection provides information that supports breeding and management programs focused on improving citrus resilience. Reliable identification of viral infection helps researchers relate plant performance to pathogen status rather than relying only on visible effects. The same information can support epidemiological surveillance, guide disease-management strategies, and help evaluate whether propagation material is suitable for continued use.