Evidence map›Paper›PMID 41422032›Full record

ArticleVirology journal2025

Evaluation of the influence of RNA extraction methods on the detection of citrus viruses and viroids.

Madelein Dippenaar, Hans Jacob Maree, Rachelle Bester

Abstract readEvaluation Study
In one paragraph

Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Madelein DippenaarDepartment of Genetics, Stellenbosch University, Stellenbosch, South Africa.
Hans Jacob MareeDepartment of Genetics, Stellenbosch University, Stellenbosch, South Africa.
Rachelle BesterDepartment of Genetics, Stellenbosch University, Stellenbosch, South Africa. rachelle@sun.ac.za.

Funding

Citrus Research International 1408
6 · The paper itself

Abstract

backgroundCertification and disease management practices are reliant on accurate pathogen detection assays. Effective nucleic acid extraction is the cornerstone of various molecular detection techniques, and many virus and viroid RNA extraction protocols have been developed, each with accompanying advantages and limitations. The extraction method influences the type, quantity and quality of RNA and, therefore, the overall sensitivity of the assay.

methodsPlants from two citrus types were infected with multiple viruses and viroids. Ten plants from each were selected. RNA was extracted from bark and leaf samples using four protocols: CL (CTAB/LiCl), CE (CTAB/ethanol), TL (acid phenol buffer/LiCl and isopropanol) and SI (SDS/isopropanol). Extracts were subjected to RT-qPCR for pathogen quantitation. Results were confirmed with Illumina high-throughput sequencing (HTS). Leaf material from a citrus type was resampled, RNA extracted with CE, SI and CP (CTAB/isopropanol) and pathogen quantities determined with RT-qPCR. An additional five plants were also selected and subjected to RNA extraction with CP, SI and a modified CE. RT-qPCRs and HTS were applied to all of these extracts. Protocols were evaluated based on pathogen quantities and various bioinformatic approaches. Reference genes and CTV genotypes were also assessed with HTS.

resultsThe extraction protocol had a remarkable influence on RT-qPCR and HTS pathogen detection ability. The CL method performed best for CTV while SI proved more sensitive for the other viruses. Viroid detection had increased variability with CE extracts containing more viroid RNA although CL extracts showed comparable amounts of CDVd. The CE protocol indicated potential debilitating effects on virus detection. The additional sampled plants subjected to the modified CE protocol, showed increased virus and decreased viroid amounts. The extraction protocol did, however, not significantly influence CTV genotype composition and the investigation of reference genes provided insight into appropriate genes to be used as internal controls for cross sample comparisons.

conclusionsDespite the differential pathogen extraction amongst protocols, all target pathogens could be detected with appropriate RT-qPCR replicates and combined bioinformatic approaches. This study emphasises that although multiple protocols can be effective, further selection and optimisation could enhance the performance. Present research serves as a foundation for the refinement of diagnostic pipelines in citrus pathology.

Indexed as

CitrusPlant DiseasesPlant VirusesRNA, ViralViroidsHigh-Throughput Nucleotide SequencingPlant LeavesReal-Time Polymerase Chain ReactionSensitivity and SpecificityRNA, ViralHigh-throughput sequencingIlluminaPathogen identificationRNA virusesRT-qPCRVirus discovery

Identifiers

PMID41422032
PMCPMC12836986

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.