Macroarray Detection of Plant RNA Viruses Using Randomly Primed and Amplified Complementary DNAs from Infected Plants

Molecular detection of watermelon mosaic virus associated with a serious mosaic disease on Cucurbita pepo L. in Shanxi, China

With continued expansion of Cucurbita pepo L. cultivation, viral diseases affecting the crop have become more serious in recent years, causing enormous losses in yield and quality. A virus sample was obtained from Wenshui in Shanxi province, China. Double-stranded RNA technology and sequence-independent amplification (SIA) were used to identify the virus that induced C. pepo L. mosaic disease. SIA and sequencing results showed the presence of watermelon mosaic virus (WMV) in diseased C. pepo L. leaves. The complete sequence of WMV from the Shanxi isolate (i.e., WMV-WS) was cloned and analyzed for further characterization. The genomic RNA of WMV-WS is 10,040 nucleotides in length and encodes a putative polyprotein of 3218 amino acids. Phylogenetic analysis indicate that all WMV isolates were divided into four groups and WMV-WS isolate belong to Group 4. Further analysis showed that these WMV isolates were not only to a certain degree related to the host, but also related to geographical origin of isolates. Our results provide information for a better understanding of the genetic diversity of WMV isolates infecting C. pepo L. in Shanxi, China.

Development of a DNA Microarray-Based Assay for the Detection of Sugar Beet Root Rot Pathogens

Sugar beet root rot diseases that occur during the cropping season or in storage are accompanied by high yield losses and a severe reduction of processing quality. The vast diversity of microorganism species involved in rot development requires molecular tools allowing simultaneous identification of many different targets. Therefore, a new microarray technology (ArrayTube) was applied in this study to improve diagnosis of sugar beet root rot diseases. Based on three marker genes (internal transcribed spacer, translation elongation factor 1 alpha, and 16S ribosomal DNA), 42 well-performing probes enabled the identification of prevalent field pathogens (e.g., Aphanomyces cochlioides), storage pathogens (e.g., Botrytis cinerea), and ubiquitous spoilage fungi (e.g., Penicillium expansum). All probes were proven for specificity with pure cultures from 73 microorganism species as well as for in planta detection of their target species using inoculated sugar beet tissue. Microarray-based identification of root rot pathogens in diseased field beets was successfully confirmed by classical detection methods. The high discriminatory potential was proven by Fusarium species differentiation based on a single nucleotide polymorphism. The results demonstrate that the ArrayTube constitute an innovative tool allowing a rapid and reliable detection of plant pathogens particularly when multiple microorganism species are present.

Limited Genetic Variability Among American Isolates of Grapevine virus E from Vitis spp

A survey for the presence of Grapevine virus E (GVE, genus Vitivirus, family Betaflexiviridae) in vineyards in New York and California was conducted using macroarray hybridization or reverse-transcription polymerase chain reaction (RT-PCR) assays. In New York, GVE was detected in 10 of 46 vines of Vitis labrusca, one V. riparia, and one Vitis hybrid. All GVE-infected New York vines were coinfected with Grapevine leafroll-associated virus-3. In California, GVE was detected in 8 of 417 vines of V. vinifera. All GVE-infected California vines were also coinfected by one of the leafroll-associated viruses and other vitiviruses. In order to assess the genetic diversity among GVE isolates, a viral cDNA was amplified by RT-PCR, and a 675-nucleotide region that included the 3' terminus of the coat protein gene, a short intergenic region, and the 5' terminus of the putative nucleic acid binding protein gene was sequenced. All 20 GVE isolates sequenced in this study were very closely related, with >98% nucleotide identity to the SA94 isolate from South Africa. These findings confirm the presence of GVE in major grape-growing regions of the United States and indicate a very low level of genetic diversity.

Control of virus diseases of berry crops

Virus control in berry crops starts with the development of plants free of targeted pathogens, usually viruses, viroids, phytoplasmas, and systemic bacteria, through a combination of testing and therapy. These then become the top-tier plants in certification programs and are the source from which all certified plants are produced, usually after multiple cycles of propagation. In certification schemes, efforts are made to produce plants free of the targeted pathogens to provide plants of high health status to berry growers. This is achieved using a systems approach to manage virus vectors. Once planted in fruit production fields, virus control shifts to disease control where efforts are focused on controlling viruses or virus complexes that result in disease. In fruiting fields, infection with a virus that does not cause disease is of little concern to growers. Virus control is based on the use of resistance and tolerance, vector management, and isolation.

Profiling viral infections in grapevine using a randomly primed reverse transcription-polymerase chain reaction/macroarray multiplex platform

Crop-specific diagnostics to simultaneously detect a large number of pathogens provides an invaluable platform for the screening of vegetative material prior to its propagation. Here we report the use of what is to-date the largest published example of a crop-specific macroarray for the detection of 38 of the most prevalent or emergent viruses to infect grapevine. The reusable array consists of 1,578 virus-specific 60 to 70mer oligonucleotide probes and 19 plant and internal control probes spotted onto an 18 × 7 cm nylon membrane. In a survey of 99 grapevines from the United States and Europe, virus infections were detected in 46 selections of Vitis vinifera, V. labrusca, and interspecific hybrids. The majority of infected vines (30) was singly infected, while 16 were mixed-infected with viruses from two or more families. Representatives of the four main virus families Betaflexiviridae, Closteroviridae, Secoviridae, and Tymoviridae present in grapevines were found alone and in combination, with a notable bias in representation by members of the family Tymoviridae. This work demonstrates the utility of the macroarray platform for the multiplex detection of viruses in a single crop, its potential for characterizing grapevine virus associations, and usefulness for rapid diagnostics of introduced material in quarantine centers or in certification programs.

CKC: isolation of nucleic acids from a diversity of plants using CTAB and silica columns

To assay for viruses in plant samples, we required a method for nucleic acid isolation that is rapid, simple, and applicable to the widest possible variety of plants. A protocol for isolation of total nucleic acid (TNA) was developed by combining common CTAB methods with silica spin columns. We report data on TNA purity and RNA quality from over 30 plant genera representing 25 families. Measurements showed that RNA is of high quality, and one-step RT-PCR was successfully performed on all samples. The protocol can be completed in less than 2 h.

Efficient algorithms for the discovery of DNA oligonucleotide barcodes from sequence databases

Efficient design of barcode oligonucleotides can lead to significant cost reductions in the manufacturing of DNA arrays. Previous methods are based on either a preliminary alignment, which reduces their efficiency for intron-rich regions, or on a brute force approach, not feasible for large-scale problems or on data structures with very poor performance in the worst case. One of the algorithms we propose uses 'oligonucleotide sorting' for the discovery of oligonucleotide barcodes of given sizes, with good asymptotic performance. Specific barcode oligonucleotides with at least one base difference from other sequences in a database are found for each individual sequence. With another algorithm, specific oligonucleotides can also be found for groups or clades in the database, which have 100% homology for all oligonucleotide sequences within the group or clade while having differences with the rest of the data. By re-organizing the sequences/groups in the database, oligonucleotides for different hierarchical levels can be found. The oligonucleotides or polymorphism locations identified as species or clade specific by the new algorithm are refined and screened further for hybridization thermodynamic properties with third party software.

A New Application Using a Chromogenic Assay in a Plant Pathogen DNA Macroarray Detection System

A DNA macroarray was previously developed to detect major fungal and oomycete pathogens of solanaceous crops. To provide a convenient alternative for researchers with no access to X-ray film-developing facilities, specific CCD cameras or Chemidoc XRS systems, a chromogenic detection method with sensitivity comparable with chemiluminescent detection, has been developed. A fungal (Stemphylium solani) and an oomycete (Phytophthora capsici) pathogen were used to develop the protocol using digoxigenin (DIG)-labeled targets. The internal transcribed spacer (ITS) region of the nuclear ribosomal DNA (rDNA), including ITS1, 5.8S rDNA, and ITS2, was used as the target gene and polymerase chain reaction amplified as in the previous protocol. Various amounts of species-specific oligonucleotides on the array, quantities of DIG-labeled ITS amplicon, and hybridization temperatures were tested. The optimal conditions for hybridization were 55°C for 2 h using at least 10 pmol of each species-specific oligonucleotide and labeled target at 10 ng/ml of hybridization buffer. Incubation of the hybridized array with anti-DIG conjugated alkaline phosphatase substrates, NBT/BCIP, produced visible target signals between 1 and 3 h compared with 1 h in chemiluminescent detection. Samples from pure cultures, soil, and artificially inoculated plants were also used to compare the detection using chemiluminescent and chromogenic methods. Chromogenic detection was shown to yield similar results compared with chemiluminescent detection in regard to signal specificity, duration of hybridization between the array and targets, and cost, though it takes 1 to 2 h longer for the visualization process, thus providing a convenient alternative for researchers who lack darkroom facilities. To our knowledge, this is the first report of DNA macroarray detection of plant pathogens using a chromogenic method.

Complete genome sequence of switchgrass mosaic virus, a member of a proposed new species in the genus Marafivirus

The complete genome sequence of a virus recently detected in switchgrass (Panicum virgatum) was determined and found to be closely related to that of maize rayado fino virus (MRFV), genus Marafivirus, family Tymoviridae. The genomic RNA is 6408 nucleotides long. It contains three predicted open reading frames (ORFs 1-3), encoding proteins of 227 kDa, 43.9 kDa, and 31.5 kDa, compared to two ORFs (1 and 2) for MRFV. The complete genome shares 76 % sequence identity with MRFV. The nucleotide sequence of ORF2 of this virus and the amino acid sequence of its encoded protein are 49 % and 77 % identical, respectively, to those of MRFV. The virus-encoded polyprotein and capsid protein aa sequences are 83 % and 74-80 % identical, respectively, to those of MRFV. Although closely related to MRFV, the amino acid sequence of its capsid protein (CP) forms a clade that is separate from that of MRFV. Based on the International Committee on Taxonomy of Viruses (ICTV) sequence-related criteria for delineation of species within the genus Marafivirus, the virus qualifies as a member of a new species, and the name Switchgrass mosaic virus (SwMV) is proposed.

Molecular techniques for pathogen identification and fungus detection in the environment

Many species of fungi can cause disease in plants, animals and humans. Accurate and robust detection and quantification of fungi is essential for diagnosis, modeling and surveillance. Also direct detection of fungi enables a deeper understanding of natural microbial communities, particularly as a great many fungi are difficult or impossible to cultivate. In the last decade, effective amplification platforms, probe development and various quantitative PCR technologies have revolutionized research on fungal detection and identification. Examples of the latest technology in fungal detection and differentiation are discussed here.

The Comprehensive Phytopathogen Genomics Resource: a web-based resource for data-mining plant pathogen genomes

The Comprehensive Phytopathogen Genomics Resource (CPGR) provides a web-based portal for plant pathologists and diagnosticians to view the genome and trancriptome sequence status of 806 bacterial, fungal, oomycete, nematode, viral and viroid plant pathogens. Tools are available to search and analyze annotated genome sequences of 74 bacterial, fungal and oomycete pathogens. Oomycete and fungal genomes are obtained directly from GenBank, whereas bacterial genome sequences are downloaded from the A Systematic Annotation Package (ASAP) database that provides curation of genomes using comparative approaches. Curated lists of bacterial genes relevant to pathogenicity and avirulence are also provided. The Plant Pathogen Transcript Assemblies Database provides annotated assemblies of the transcribed regions of 82 eukaryotic genomes from publicly available single pass Expressed Sequence Tags. Data-mining tools are provided along with tools to create candidate diagnostic markers, an emerging use for genomic sequence data in plant pathology. The Plant Pathogen Ribosomal DNA (rDNA) database is a resource for pathogens that lack genome or transcriptome data sets and contains 131 755 rDNA sequences from GenBank for 17 613 species identified as plant pathogens and related genera. Database URL: http://cpgr.plantbiology.msu.edu.

Amplification-free detection of grapevine viruses using an oligonucleotide microarray

A single-colour microarray hybridization system was designed and evaluated for the detection of viruses infecting grapevine. Total RNA (≥0.5μg) from infected plants was converted to cDNA and labelled with Cy3 using two different strategies. While amine-modified and labelled cDNA was adequate for the detection of nepoviruses, the 3DNA technique, a post-hybridization detection method that uses intensely fluorescent dendrimer reagents, was required for the detection of closteroviruses in infected plants. Threshold detection levels were based on the ratio between viral specific and 18S rRNA positive control signal intensities. Oligonucleotides between 27 and 75 nucleotides in length were evaluated and compared. Viruses detected include eight nepoviruses, two vitiviruses, and one each of closterovirus, foveavirus, ampelovirus, maculavirus and sadwavirus. Results of this work demonstrate the potential of microarray technique to detect viral pathogens without sequence bias amplification of template RNA.

ARGONAUTE2 mediates RNA-silencing antiviral defenses against Potato virus X in Arabidopsis

RNA-silencing mechanisms control many aspects of gene regulation including the detection and degradation of viral RNA through the action of, among others, Dicer-like and Argonaute (AGO) proteins. However, the extent to which RNA silencing restricts virus host range has been difficult to separate from other factors that can affect virus-plant compatibility. Here we show that Potato virus X (PVX) can infect Arabidopsis (Arabidopsis thaliana), which is normally a nonhost for PVX, if coinfected with a second virus, Pepper ringspot virus. Here we show that the pepper ringspot virus 12K protein functions as a suppressor of silencing that appears to enable PVX to infect Arabidopsis. We also show that PVX is able to infect Arabidopsis Dicer-like mutants, indicating that RNA silencing is responsible for Arabidopsis nonhost resistance to PVX. Furthermore, we find that restriction of PVX on Arabidopsis also depends on AGO2, suggesting that this AGO protein has evolved to specialize in antiviral defenses.

Benefits of random-priming: exhaustive survey of a cDNA library from lung tissue of a SARS patient

The severe acute respiratory syndrome (SARS) leads to severe injury in the lungs with multiple factors, though the pathogenesis is still largely unclear. This paper describes the particular analyses of the transcriptome of human lung tissue that was infected by SARS‐associated coronavirus (SARS‐CoV). Random primers were used to produce ESTs from total RNA samples of the lung tissue. The result showed a high diversity of the transcripts, covering much of the human genome, including loci which do not contain protein coding sequences. 10,801 ESTs were generated and assembled into 267 contigs plus 7,659 singletons. Sequences matching to SARS‐CoV RNAs and other pneumonia‐related microbes were found. The transcripts were well classified by functional annotation. Among the 7,872 assembled sequences that were identified as from human genome, 578 non‐coding genes were revealed by BLAST search. The transcripts were mapped to the human genome with the restriction of identity = 100%, which found a candidate pool of 448 novel transcriptional loci where EST transcriptional signal was never found before. Among these, 13 loci were never reported to be transcriptional by other detection methods such as gene chips, tiling arrays, and paired‐end ditags (PETs). The result showed that random‐priming cDNA library is valid for the investigation of transcript diversity in the virus‐infected tissue. The EST data could be a useful supplemental source for SARS pathology researches. J. Med. Virol. 83:574–586, 2011. © 2011 Wiley‐Liss, Inc.

Application of cDNA Macroarray for Simultaneous Detection of 12 Potato Viruses

A complementary DNA (cDNA) macroarray was developed for simultaneous detection of 12 different potato viruses. A suitable region in the viral genome for each was selected for Alfalfa mosaic virus, Cucumber mosaic virus, Potato aucuba mosaic virus, Potato leafroll virus, Potato mop-top virus, Potato virus A, Potato virus M, Potato virus S, Potato virus X, Potato virus Y, Tomato ringspot virus, and Tomato spotted wilt virus, and their respective cDNAs were cloned into plasmid vectors. Capture probes for each virus ranging from 290 to 577 bp were generated by polymerase chain reaction (PCR) and immobilized on a nylon membrane. Total RNAs were extracted from each of these virus infected-plants, and cDNAs were synthesized from the RNA extracts using a random 9-mer primer. Subsequently, PCR reactions were performed using one primer pair for each of the 12 viruses. During PCR, amplified cDNAs were labeled with biotin and used as a target for hybridization analyses on a macroarray membrane. Hybridization signals between capture probes for the 12 viruses and their respective target cDNAs were observed using chemiluminescent or colorimetric detection. In all viruses, hybridization signals with capture probes were detected only when homologous virus targets were examined, and no hybridization to healthy plant extract was observed, facilitating identification of each virus. The results by colorimetric detection agreed with those obtained using chemiluminescence. The macroarray method developed was 5 × 10² to 4 × 10⁶ times more sensitive than enzyme-linked immunosorbent assay and 5 to 5 × 10⁴ times more sensitive than reverse-transcription PCR, except for Alfalfa mosaic virus. Colorimetric detection and substantial reduction in cross-hybridization signals much improved the method compared with other array-based detection methods for practical use.

Application of sequence-independent amplification (SIA) for the identification of RNA viruses in bioenergy crops

Miscanthus x giganteus, energycane, and Panicum virgatum (switchgrass) are three potential biomass crops being evaluated for commercial cellulosic ethanol production. Viral diseases are potentially significant threats to these crops. Therefore, identification of viruses infecting these bioenergy crops is important for quarantine purposes, virus resistance breeding, and production of virus-free planting materials. The application is described of sequence-independent amplification, for the identification of RNA viruses in bioenergy crops. The method involves virus partial purification from a small amount of infected leaf tissue (miniprep), extraction of viral RNA, amplification of randomly primed cDNAs, cloning, sequencing, and BLAST searches for sequence homology in the GenBank. This method has distinct advantage over other virus characterization techniques in that it does not require reagent specific to target viruses. Using this method, a possible new species was identified in the genus Marafivirus in switchgrass related to Maize rayado fino virus, its closest relative currently in GenBank. Sugarcane mosaic virus (SCMV), genus Potyvirus, was identified in M.xgiganteus, energycane, corn (Zea mays), and switchgrass. Other viruses identified were: Maize dwarf mosaic virus (MDMV), genus Potyvirus, in johnsongrass (Sorghum halepense); Soil borne wheat mosaic virus (SBWMV), genus Furovirus, in wheat (Triticum aestivum); and Bean pod mottle virus (BPMV), genus Comovirus, in soybean (Glycine max). The method was as sensitive as conventional RT-PCR. This is the first report of a Marafivirus infecting switchgrass, and SCMV infecting both energycane and M. x giganteus.

Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses

A major challenge facing agriculture at present is the development of techniques that can screen field samples and other plant materials simultaneously for the presence of many viruses. Microarray techniques show promise in this regard, as their high throughput nature can potentially detect a range of viruses using a single test. In this paper we present an array that can detect a wide spectrum of 169 plant virus species from 13 different genera. The array was constructed using an automated probe design protocol which generated a minimal number of probes to detect viruses at the genus level. The designed arrays showed a high specificity and sensitivity when tested with a set of standard virus samples. Field samples collected from a severe disease outbreak of Panax notoginseng farms in Yunnan, China, in 2001 were screened, where a potyvirus infection was identified associated with the disease.

Oligonucleotide-based microarray for detection of plant viruses employing sequence-independent amplification of targets

The potential of DNA microarrays for detection of plant viruses is hampered by underutilization of sequence-independent amplification methods for target nucleic acid enrichment. A microarray system is described for an unbiased detection of plant viruses using both short (30 nt) and long (50 and 70 nt) oligonucleotide probes. The assay involves amplification of target nucleic acid using random primers followed by in vitro transcription whose cRNA product is labeled chemically, fragmented and used as target for hybridization. Initial optimization tests with Turnip vein clearing virus and Cauliflower mosaic virus showed increased hybridization efficiency with shorter cDNA targets (100 bp) and longer probes (50 and 70 nt). The system was validated in pure and mixed samples by detection of three Tymovirus species: Asclepias asymptomatic virus, Kennedya yellow mosaic virus and Turnip yellow mosaic virus. The method could detect sequence variants with 70-75% or higher sequence identity, indicating the possible utility of the approach for virus discovery. Array performance comparison of long probes demonstrated the competence of 50-mers to provide a satisfactory balance between detection sensitivity and specificity. The work described is a significant step towards a method to assess, in one assay, the presence of a large diversity of relatives of known viruses of plants.

A visual reporter system for virus-induced gene silencing in tomato fruit based on anthocyanin accumulation

Virus-induced gene silencing (VIGS) is a powerful tool for reverse genetics in tomato (Solanum lycopersicum). However, the irregular distribution of the effects of VIGS hampers the identification and quantification of nonvisual phenotypes. To overcome this limitation, a visually traceable VIGS system was developed for fruit, comprising two elements: (1) a transgenic tomato line (Del/Ros1) expressing Antirrhinum majus Delila and Rosea1 transcription factors under the control of the fruit-specific E8 promoter, showing a purple-fruited, anthocyanin-rich phenotype; and (2) a modified tobacco rattle virus VIGS vector incorporating partial Rosea1 and Delila sequences, which was shown to restore the red-fruited phenotype upon agroinjection in Del/Ros1 plants. Dissection of silenced areas for subsequent chemometric analysis successfully identified the relevant metabolites underlying gene function for three tomato genes, phytoene desaturase, TomloxC, and SlODO1, used for proof of concept. The C-6 aldehydes derived from lipid 13-hydroperoxidation were found to be the volatile compounds most severely affected by TomloxC silencing, whereas geranial and 6-methyl-5-hepten-2-one were identified as the volatiles most severely reduced by phytoene desaturase silencing in ripening fruit. In a third example, silencing of SlODO1, a tomato homolog of the ODORANT1 gene encoding a myb transcription factor, which regulates benzenoid metabolism in petunia (Petunia hybrida) flowers, resulted in a sharp accumulation of benzaldehyde in tomato fruit. Together, these results indicate that fruit VIGS, enhanced by anthocyanin monitoring, can be a powerful tool for reverse genetics in the study of the metabolic networks operating during fruit ripening.

A Macroarray System for the Detection of Fungal and Oomycete Pathogens of Solanaceous Crops

There are numerous fungal and oomycete pathogens that cause severe damage to solanaceous crops. Rapid and accurate detection and identification of these pathogens is critical for plant disease management. Recently, DNA array technology has been successfully applied for simultaneous detection of multiple microorganisms from various habitats. The goal of this project was to develop a multiplex detection and identification system for major fungal and oomycete pathogens of solanaceous crops. To facilitate this goal, we used a membrane-based macroarray technology that included at least two specific oligonucleotides per pathogen. Based on the internal transcribed spacer sequences of the rRNA genes, 105 oligonucleotides (17 to 27 bases long) specific for 25 pathogens of solanaceous crops were designed and spotted on a nylon membrane. The array was tested against the 25 target pathogen species, 46 infected field samples, and a number of nontarget species. Our results indicate that the oligonucleotide-based macroarray detection system is a reliable and effective method for pathogen detection and identification even when multiple pathogens are present in a field sample.

Macroarray Detection of Eleven Potato-Infecting Viruses and Potato spindle tuber viroid

A macroarray was developed for the detection of 11 potato viruses and Potato spindle tuber viroid. The 11 viruses detected included those commonly found or tested for in North American potato seed certification programs: Alfalfa mosaic virus, Cucumber mosaic virus, Potato mop top virus, Potato leafroll virus, Potato latent virus, Potato virus A, Potato virus M, Potato virus S, Potato virus X, Potato virus Y, and Tobacco rattle virus. These viruses were detected using oligonucleotide 70-mer probes and labeled targets prepared by a random primed amplification procedure. Potato plants analyzed included those infected with 12 reference virus stocks and 36 field isolates. Results from the macroarray were entirely consistent with those obtained using a standard serological assay (enzyme-linked immunosorbent assay). Four isolates of Potato spindle tuber viroid, in mixed infection with one or more viruses, also were detected in the array, although strong hybridization signals required amplification with viroid-specific primers in combination with anchored-random primers. In individual plants, up to four viruses, or a viroid plus two viruses, were detected, with no apparent competition or inhibition. Macroarrays are a cost-effective approach to the simultaneous diagnostic detection of multiple pathogens from infected plants.

Simultaneous detection of potato viruses, PLRV, PVA, PVX and PVY from dormant potato tubers by TaqMan real-time RT-PCR

The requirements of sprouting dormant potato tubers for biological or serological assays or RNA extraction for nucleic acid and PCR assays add to the cost of virus screening. Recently, cheaper, reliable and more rapid methods for the screening of potato tuber-seed pieces for viruses have been developed that do not require sprouted tubers for indexing, including TaqMan real-time RT-PCR. Although the assays are often designed for minimal time and reagent use, they still require a time-consuming and laborious RNA extraction step. This paper describes an assay where four common potato-infecting viruses, Potato leafroll virus, Potato virus A, Potato virus X and Potato virus Y, were detected simultaneously from total RNA and saps of dormant potato tubers in a quadruplex real-time RT-PCR. Factors critical for the detection of these viruses in saps of dormant potato tubers included: optimum dilution and inhibition of RNAses, and the optimization of the reverse transcription and PCR steps. Potato virus detection directly from tuber saps was comparable to that from purified total plant RNA, and this represents significant savings of time and expense. The TaqMan system developed in this study detected between 200 and 400 copies of potato virus RNA.

Microarrays for rapid identification of plant viruses

Many factors affect the development and application of diagnostic techniques. Plant viruses are an inherently diverse group that, unlike cellular pathogens, possess no nucleotide sequence type (e.g., ribosomal RNA sequences) in common. Detection of plant viruses is becoming more challenging as globalization of trade, particularly in ornamentals, and the potential effects of climate change enhance the movement of viruses and their vectors, transforming the diagnostic landscape. Techniques for assessing seed, other propagation materials and field samples for the presence of specific viruses include biological indexing, electron microscopy, antibody-based detection, including enzyme-linked immunosorbent assay (ELISA), polymerase chain reaction (PCR), and microarray detection. Of these, microarray detection provides the greatest capability for parallel yet specific testing, and can be used to detect individual, or combinations of viruses and, using current approaches, to do so with a sensitivity comparable to ELISA. Methods based on PCR provide the greatest sensitivity among the listed techniques but are limited in parallel detection capability even in "multiplexed" applications. Various aspects of microarray technology, including probe development, array fabrication, assay target preparation, hybridization, washing, scanning, and interpretation are presented and discussed, for both current and developing technology.