Detection of potato viruses using microarray technology: towards a generic method for plant viral disease diagnosis

An evaluation of nucleic acid-based molecular methods for the detection of plant viruses: a systematic review

Precise and timely diagnosis of plant viruses is a prerequisite for the implementation of efficient management strategies, considering factors like globalization of trade and climate change facilitating the spread of viruses that lead to agriculture yield losses of billions yearly worldwide. Symptomatic diagnosis alone may not be reliable due to the diverse symptoms and confusion with plant abiotic stresses. It is crucial to detect plant viruses accurately and reliably and do so with little time. A complete understanding of the various detection methods is necessary to achieve this. Enzyme-linked immunosorbent assay (ELISA), has become more popular as a method for detecting viruses but faces limitations such as antibody availability, cost, sample volume, and time. Advanced techniques like polymerase chain reaction (PCR) have surpassed ELISA with its various sensitive variants. Over the last decade, nucleic acid-based molecular methods have gained popularity and have quickly replaced other techniques, such as serological techniques for detecting plant viruses due to their specificity and accuracy. Hence, this review enables the reader to understand the strengths and weaknesses of each molecular technique starting with PCR and its variations, along with various isothermal amplification followed by DNA microarrays, and next-generation sequencing (NGS). As a result of the development of new technologies, NGS is becoming more and more accessible and cheaper, and it looks possible that this approach will replace others as a favoured approach for carrying out regular diagnosis. NGS is also becoming the method of choice for identifying novel viruses.

Supplementary Information

The online version contains supplementary material available at 10.1007/s13337-024-00863-0.

Potato virus X: A global potato-infecting virus and type member of the Potexvirus genus

TAXONOMY

Potato virus X is the type-member of the plant-infecting Potexvirus genus in the family Alphaflexiviridae.

PHYSICAL PROPERTIES

Potato virus X (PVX) virions are flexuous filaments 460-480 nm in length. Virions are 13 nm in diameter and have a helical pitch of 3.4 nm. The genome is approximately 6.4 kb with a 5' cap and 3' poly(A) terminus. PVX contains five open reading frames, four of which are essential for cell-to-cell and systemic movement. One protein encodes the viral replicase. Cellular inclusions, known as X-bodies, occur near the nucleus of virus-infected cells.

HOSTS

The primary host is potato, but it infects a wide range of dicots. Diagnostic hosts include Datura stramonium and Nicotiana tabacum. PVX is transmitted in nature by mechanical contact. USEFUL WEBSITE: https://talk.ictvonline.org/ictv-reports/ictv_online_report/positive-sense-rna-viruses/w/alphaflexiviridae/1330/genus-potexvirus.

Grapevine Virology in the Third-Generation Sequencing Era: From Virus Detection to Viral Epitranscriptomics

Among all economically important plant species in the world, grapevine (Vitis vinifera L.) is the most cultivated fruit plant. It has a significant impact on the economies of many countries through wine and fresh and dried fruit production. In recent years, the grape and wine industry has been facing outbreaks of known and emerging viral diseases across the world. Although high-throughput sequencing (HTS) has been used extensively in grapevine virology, the application and potential of third-generation sequencing have not been explored in understanding grapevine viruses and their impact on the grapevine. Nanopore sequencing, a third-generation technology, can be used for the direct sequencing of both RNA and DNA with minimal infrastructure. Compared to other HTS methods, the MinION nanopore platform is faster and more cost-effective and allows for long-read sequencing. Due to the size of the MinION device, it can be easily carried for field viral disease surveillance. This review article discusses grapevine viruses, the principle of third-generation sequencing platforms, and the application of nanopore sequencing technology in grapevine virus detection, virus-plant interactions, as well as the characterization of viral RNA modifications.

Investigating Cell Signaling with Gene Expression Datasets

Modern molecular biology is a data- and computationally-intensive field with few instructional resources for introducing undergraduate students to the requisite skills and techniques for analyzing large data sets. This Lesson helps students: (i) build an understanding of the role of signal transduction in the control of gene expression; (ii) improve written scientific communication skills through engagement in literature searches, data analysis, and writing reports; and (iii) develop an awareness of the procedures and protocols for analyzing and making inferences from high-content quantitative molecular biology data. The Lesson is most suited to upper level biology courses because it requires foundational knowledge on cellular organization, protein structure and function, and the tenets of information flow from DNA to proteins. The first step lays the foundation for understanding cell signaling, which can be accomplished through assigned readings and presentations. In subsequent active learning sessions, data analysis is integrated with exercises that provide insight into the structure of scientific papers. The Lesson emphasizes the role of quantitative methods in research and helps students gain experience with functional genomics databases and data analysis, which are important skills for molecular biologists. Assessment is conducted through mini-reports designed to gauge students' perceptions of the purpose of each step, their awareness of the possible limitations of the methods utilized, and the ability to identify opportunities for further investigation. Summative assessment is conducted through a final report. The modules are suitable for complementing wet-laboratory experiments and can be adapted for different courses that use molecular biology data.

Recent Advances on the Multiplex Molecular Detection of Plant Viruses and Viroids

Plant viruses are still one of the main contributors to economic losses in agriculture. It has been estimated that plant viruses can cause as much as 50 billion euros loss worldwide, per year. This situation may be worsened by recent climate change events and the associated changes in disease epidemiology. Reliable and early detection methods are still one of the main and most effective actions to develop control strategies for plant viral diseases. During the last years, considerable progress has been made to develop tools with high specificity and low detection limits for use in the detection of these plant pathogens. Time and cost reductions have been some of the main objectives pursued during the last few years as these increase their feasibility for routine use. Among other strategies, these objectives can be achieved by the simultaneous detection and (or) identification of several viruses in a single assay. Nucleic acid-based detection techniques are especially suitable for this purpose. Polyvalent detection has allowed the detection of multiple plant viruses at the genus level. Multiplexing RT polymerase chain reaction (PCR) has been optimized for the simultaneous detection of more than 10 plant viruses/viroids. In this short review, we provide an update on the progress made during the last decade on techniques such as multiplex PCR, polyvalent PCR, non-isotopic molecular hybridization techniques, real-time PCR, and array technologies to allow simultaneous detection of multiple plant viruses. Also, the potential and benefits of the powerful new technique of deep sequencing/next-generation sequencing are described.

Biosensors for plant pathogen detection

Infectious plant diseases are caused by pathogenic microorganisms such as fungi, bacteria, viruses, viroids, phytoplasma and nematodes. Worldwide, plant pathogen infections are among main factors limiting crop productivity and increasing economic losses. Plant pathogen detection is important as first step to manage a plant disease in greenhouses, field conditions and at the country boarders. Current immunological techniques used to detect pathogens in plant include enzyme-linked immunosorbent assays (ELISA) and direct tissue blot immunoassays (DTBIA). DNA-based techniques such as polymerase chain reaction (PCR), real time PCR (RT-PCR) and dot blot hybridization have also been proposed for pathogen identification and detection. However these methodologies are time-consuming and require complex instruments, being not suitable for in-situ analysis. Consequently, there is strong interest for developing new biosensing systems for early detection of plant diseases with high sensitivity and specificity at the point-of-care. In this context, we revise here the recent advancement in the development of advantageous biosensing systems for plant pathogen detection based on both antibody and DNA receptors. The use of different nanomaterials such as nanochannels and metallic nanoparticles for the development of innovative and sensitive biosensing systems for the detection of pathogens (i.e. bacteria and viruses) at the point-of-care is also shown. Plastic and paper-based platforms have been used for this purpose, offering cheap and easy-to-use really integrated sensing systems for rapid on-site detection. Beside devices developed at research and development level a brief revision of commercially available kits is also included in this review.

Carrot yellow leaf virus is associated with carrot internal necrosis

Internal necrosis of carrot has been observed in UK carrots for at least 10 years, and has been anecdotally linked to virus infection. In the 2009 growing season some growers had up to 10% of yield with these symptoms. Traditional diagnostic methods are targeted towards specific pathogens. By using a metagenomic approach with high throughput sequencing technology, other, as yet unidentified causes of root necrosis were investigated. Additionally a statistical analysis has shown which viruses are most closely associated with disease symptoms. Carrot samples were collected from a crop exhibiting root necrosis (102 Affected: 99 Unaffected) and tested for the presence of the established carrot viruses: Carrot red leaf virus (CtRLV), Carrot mottle virus (CMoV), Carrot red leaf associated viral RNA (CtRLVaRNA) and Parsnip yellow fleck virus (PYFV). The presence of these viruses was not associated with symptomatic carrot roots either as single viruses or in combinations. A sub-sample of carrots of mixed symptom status was subjected to MiSeq sequencing. The results from these tests suggested Carrot yellow leaf virus (CYLV) was associated with symptomatic roots. Additionally a novel Torradovirus, a novel Closterovirus and two novel Betaflexiviradae related plant viruses were detected. A specific diagnostic test was designed for CYLV. Of the 102 affected carrots, 98% were positive for CYLV compared to 22% of the unaffected carrots. From these data we conclude that although we have yet to practically demonstrate a causal link, CYLV appears to be strongly associated with the presence of necrosis of carrots.

Development of the large-scale oligonucleotide chip for the diagnosis of plant viruses and its practical use

A large-scale oligonucleotide (LSON) chip was developed for the detection of the plant viruses with known genetic information. The LSON chip contains two sets of 3,978 probes for 538 species of targets including plant viruses, satellite RNAs and viroids. A hundred forty thousand probes, consisting of isolate-, species- and genus-specific probes respectively, are designed from 20,000 of independent nucleotide sequence of plant viruses. Based on the economic importance, the amount of genome information, and the number of strains and/or isolates, one to fifty-one probes for each target virus are selected and spotted on the chip. The standard and field samples for the analysis of the LSON chip have been prepared and tested by RT-PCR. The probe's specific and/or nonspecific reaction patterns by LSON chip allow us to diagnose the unidentified viruses. Thus, the LSON chip in this study could be highly useful for the detection of unexpected plant viruses, the monitoring of emerging viruses and the fluctuation of the population of major viruses in each plant.

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.

Assessment of SNaPshot and single step RT-qPCR methods for discriminating Potato virus Y (PVY) subgroups

Potato virus Y (PVY) is the most important virus infecting potato (Solanum tuberosum), causing potato tuber necrotic ringspot disease (PTNRD), with a great impact on seed potato production. Numerous PVY strain groups with different pathogenicity and economical impact are distributed worldwide. Tools for accurate and reliable detection and discrimination of PVY strain groups are therefore essential for successful disease management. Two state of the art characterization tools based on detecting molecular markers - RT-qPCR (Kogovsek et al., 2008) and SNaPshot (Rolland et al., 2008) - were assessed for their ability to assign PVY accurately to the correct group. The results were validated by bioassay, ELISA and in silico sequence analysis. The spectrum of PVY strain groups distinguished by SNaPshot is broader than that by RT-qPCR. However, the latter was more reliable in discriminating the PVY(NTN) group members, known for their ability to induce PTNRD on selected potato cultivars. The difference in discrimination precision was due to different molecular markers being targeted by RT-qPCR and SNaPshot. Both tools use genotypic markers for detecting PVY(NTN) strain groups. Future development, however, should be focused on identifying the genomic determinants of the tuber necrosis property. Until then, the RT-qPCR and SNaPshot methods remain the most powerful diagnostic tools for detecting the PVY subgroup isolates found in Europe.

'Phytochip': on-chip detection of phytopathogenic RNA viruses by a new surface plasmon resonance platform

The surface plasmon resonance (SPR) based 'Phytochip' was developed to distinguish virus-infected plants from non-infected plants. The system detects DNA-RNA hybridization to show the presence of phytopathogenic viruses such as the RNA virus barley stripe mosaic virus (BSMV) in wheat leaves. To achieve this BSMV and wheat specific oligonucleotides, and a negative control yeast oligonucleotide, were immobilized on a SPR gold surface chip. After optimization of the hybridization parameters with purified wheat samples, wheat infected with BSMV resulted in detectable signals with both the BSMV and the wheat probes. In contrast, a hybridization reaction was not be detected with the negative probe. The method is fast and sensitive with a detection time of 3000s (50min), a detection limit of 14.7pgμl(-1) BSMV RNA and a measuring range of 14.7-84pgμl(-1) BSMV RNA (1.323-7.56ng BSMV RNA per 90μl sample). These characteristics, combined with the high throughput design, make it suitable for application in plant breeding and virus control.

Plant viruses in aqueous environment - survival, water mediated transmission and detection

The presence of plant viruses outside their plant host or insect vectors has not been studied intensively. This is due, in part, to the lack of effective detection methods that would enable their detection in difficult matrixes and in low titres, and support the search for unknown viruses. Recently, new and sensitive methods for detecting viruses have resulted in a deeper insight into plant virus movement through, and transmission between, plants. In this review, we have focused on plant viruses found in environmental waters and their detection. Infectious plant pathogenic viruses from at least 7 different genera have been found in aqueous environment. The majority of the plant pathogenic viruses so far recovered from environmental waters are very stable, they can infect plants via the roots without the aid of a vector and often have a wide host range. The release of such viruses from plants can lead to their dissemination in streams, lakes, and rivers, thereby ensuring the long-distance spread of viruses that otherwise, under natural conditions, would remain restricted to limited areas. The possible sources and survival of plant viruses in waters are therefore discussed. Due to the widespread use of hydroponic systems and intensive irrigation in horticulture, the review is focused on the possibility and importance of spreading viral infection by water, together with measures for preventing the spread of viruses. The development of new methods for detecting multiple plant viruses at the same time, like microarrays or new generation sequencing, will facilitate the monitoring of environmental waters and waters used for irrigation and in hydroponic systems. It is reasonable to expect that the list of plant viruses found in waters will thereby be expanded considerably. This will emphasize the need for further studies to determine the biological significance of water-mediated transport.

Optimization and improvement of oligonucleotide microarray-based detection of tomato viruses and pospiviroids

Tomato (Solanum lycopersicum L.) is a vegetable crop which is affected by many viruses and several viroids, causing significant economic loss. Their detection and identification is of critical importance for plant protection and quarantine and certification programs. The potential was examined of an array based on the Combimatrix platform for the detection of 37 viruses belonging to 13 families, one of which is unassigned, together with six pospiviroid species, genus Pospiviroid, family Pospiviroidae. More than 470 oligonucleotide probes (40-mer) were selected for the microarray diagnostic technique developed in this investigation. Most of the virus probes were highly specific and were able to identify tomato viruses. Most pospiviroid probes, however, were non-specific in terms of species, but were specific at the genus level as they hybridized to members of the genus Pospiviroid. Only one probe of the Tomato apical stem viroid was species specific. The repeatability and specificity of the Combimatrix method showed that it can be considered for routine diagnostic use in suspected tomato germplasm since it detected 37 viruses and one pospiviroid at the species level and 5-6 pospiviroids at the genus level. The estimated cost for testing of a single tomato virus is similar to or less than the cost of using ELISA.

Strain Characterization of Potato virus S Isolates from Tasmania, Australia

Potato virus S (PVS) is prevalent within potato (Solanum tuberosum) production worldwide. Traditionally, PVS has been split into two strains, Ordinary (PVS^O) and Andean (PVS^A), based on reaction in herbaceous indicator species such as Chenopodium quinoa. However, recent research has identified further strain designations, such as PVS^O-CS (Ordinary and Chenopodium systemic). Forty-four isolates of PVS were collected from potato seed lines in different geographical regions within Tasmania, Australia. Isolates were initially characterized by reactions in C. quinoa. Nineteen isolates were characterized as PVS^O, based on the development of local lesions and serological detection in inoculated leaves only. Three isolates were identified as PVS^A-like, based on local lesion development in inoculated leaves, mild mottling or chlorotic spots on noninoculated leaves, and serological detection in both inoculated and noninoculated leaves. Thirteen isolates produced no symptoms, and were detected serologically in inoculated leaves only (PVS^O-like). Four isolates produced no symptoms but were detected serologically in both inoculated and noninoculated leaves (PVS^A-like). Five isolates produced symptoms in inoculated leaves only but were detected serologically in both inoculated and noninoculated leaves (also PVS^A-like). The ability of isolates to infect tomato has also been used as a criterion to assist in PVS strain differentiation. A subsample of isolates (n = 16) was unable to infect tomato 'Grosse Lisse'. Seventeen isolates representative of these groupings based on reactions in C. quinoa were also characterized by coat-protein sequencing. Phylogenetic comparisons suggested that all isolates were PVS^O rather than PVS^A. Therefore, whereas some of these PVS isolates were systemic in C. quinoa, findings from this study suggest that they were not PVS^A, and that only PVS^O and PVS^O-CS isolates are present in Tasmania. The implications of this finding for disease management are discussed.

New grower-friendly methods for plant pathogen monitoring

Accurate plant disease diagnoses and rapid detection and identification of plant pathogens are of utmost importance for controlling plant diseases and mitigating the economic losses they incur. Technological advances have increasingly simplified the tools available for the identification of pathogens to the extent that, in some cases, this can be done directly by growers and producers themselves. Commercially available immunoprinting kits and lateral flow devices (LFDs) for detection of selected plant pathogens are among the first tools of what can be considered grower-friendly pathogen monitoring methods. Research efforts, spurned on by point-of-care needs in the medical field, are paving the way for the further development of on-the-spot diagnostics and multiplex technologies in plant pathology. Grower-friendly methods need to be practical, robust, readily available, and cost-effective. Such methods are not restricted to on-the-spot testing but extend to laboratory services, which are sometimes more practicable for growers, extension agents, regulators, and other users of diagnostic tests.

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.

Label-free multiplexed virus detection using spectral reflectance imaging

We demonstrate detection of whole viruses and viral proteins with a new label-free platform based on spectral reflectance imaging. The Interferometric Reflectance Imaging Sensor (IRIS) has been shown to be capable of sensitive protein and DNA detection in a real time and high-throughput format. Vesicular stomatitis virus (VSV) was used as the target for detection as it is well-characterized for protein composition and can be modified to express viral coat proteins from other dangerous, highly pathogenic agents for surrogate detection while remaining a biosafety level 2 agent. We demonstrate specific detection of intact VSV virions achieved with surface-immobilized antibodies acting as capture probes which is confirmed using fluorescence imaging. The limit of detection is confirmed down to 3.5 × 10(5)plaque-forming units/mL (PFUs/mL). To increase specificity in a clinical scenario, both the external glycoprotein and internal viral proteins were simultaneously detected with the same antibody arrays with detergent-disrupted purified VSV and infected cell lysate solutions. Our results show sensitive and specific virus detection with a simple surface chemistry and minimal sample preparation on a quantitative label-free interferometric platform.

Genetic variability in the coat protein gene of Potato virus X and the current relationship between phylogenetic placement and resistance groupings

The complete coat protein nucleotide sequences of 11 Potato virus X isolates from Australia and two from Britain were compared to those of 72 others. On phylogenetic analysis, clade I contained all 11 Australian sequences, and sub-clade II-1 contained the two new British sequences. Clade I isolates were from six different continents, but those in sub-clades II-1 and II-2 were only from Europe and the Americas, respectively. Clade I contained isolates in strain groups 1, 3 and 4, and sub-clades II-1 and II-2, isolates in strain groups 2 and 4. Thus, strain group 4 now occurs within both clades.

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.

Detection of viral infections by an oligonucleotide microarray

The success of DNA expression microarrays has been followed by applications of this technology to molecular diagnosis, mainly in the fields of biology and medicine. The experiments described below apply microarray diagnosis to agriculture. This report presents results of field tests for a DNA microarray designed to diagnose major viral potato pathogens. The assays were performed on samples that had been tested previously for the presence of viral infection by ELISA. RNA isolation methods were optimised for high sensitivity, using only 3 microg of total RNA that were reverse transcribed using random hexamers, with the resulting cDNA hybridised after labelling to an oligonucleotide array. The results obtained confirm the presence of pathogens indicated by ELISA and simultaneously reveal other viruses in the same reaction, showing that this method is appropriate for rapid detection of mixed viral infections. This observation was verified by subsequent RT-PCR and sequencing.

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 diagnostic oligonucleotide microarray for simultaneous detection of grapevine viruses

At least 58 viruses have been reported to infect grapevines causing economic damage globally. Conventional detection strategies based on serological assays, biological indexing and RT-PCR targeting one or few viruses in each assay are widely used. Grapevines are prone to contain mixed infections of several viruses, making the use of these techniques time-consuming. A 70-mer oligonucleotide microarray able to detect simultaneously a broad spectrum of known viruses as well as new viruses by cross-hybridization to highly conserved probes is reported in the present study. The array contains 570 unique probes designed against highly conserved and species-specific regions of 44 plant viral genomes. In addition probes designed against plant housekeeping genes are also included. By using a random primed RT-PCR amplification strategy of grapevine double stranded RNA-enriched samples, viral agents were detected in single and mixed infections. The microarray accuracy to detect 10 grapevine viruses was compared with RT-PCR yielding consistent results. For this purpose, grapevine samples containing single or mixed infections of Grapevine leafroll-associated virus-1, -2, -3, -4, -7, -9, Grapevine fanleaf virus, Grapevine rupestris stem pitting-associated virus, Grapevine virus A, and Grapevine virus B were used. Genomic libraries containing complete viral genomes were also used as part of the validation process. The specific probe hybridization pattern obtained from each virus makes this approach a powerful tool for high throughput plant certification purposes and also for virus discovery if the new viral genomic sequences have partial similarity with the microarray probes. Three Closteroviridae members (Grapevine leafroll-associated virus -4, -7 and -9) were detected for the first time in Chilean grapevines using the microarray.

Fluorescent-based techniques for viral detection, quantification, and characterization

Fluorescent-based technologies offer opportunities for developing new assays for detection, quantification, and characterization of viral isolates. According to the intrinsic characteristics of fluorescent-based tools (high specificity, sensitivity, and reliability), such type of molecular assays makes possible investigations on original studies such as evolutionary processes (including fitness measurement of isolates), quantitative epidemiology, or the analysis of synergism and antagonism between closely related isolates. The development of these tools is very simple and requires, in complement to basic molecular knowledge such as extraction, cloning, and (RT)-PCR procedures, only the identification of short specific sequence(s) in the targeted viral genome. The Single Nucleotide Polymorphism (SNP) and the 'real-time' RT-PCR assays are proposed as fluorescent-based tools for qualitative and quantitative viral detection, respectively. Moreover, the SNaPshot technology is described as method for isolate characterization.

Distinguishing bacterial pathogens of potato using a genome-wide microarray approach

A set of 9676 probes was designed for the most harmful bacterial pathogens of potato and tested in a microarray format. Gene-specific probes could be designed for all genes of Pectobacterium atrosepticum, c. 50% of the genes of Streptomyces scabies and c. 30% of the genes of Clavibacter michiganensis ssp. sepedonicus utilizing the whole-genome sequence information available. For Streptomyces turgidiscabies, 226 probes were designed according to the sequences of a pathogenicity island containing important virulence genes. In addition, probes were designed for the virulence-associated nip (necrosis-inducing protein) genes of P. atrosepticum, P. carotovorum and Dickeya dadantii and for the intergenic spacer (IGS) sequences of the 16S-23S rRNA gene region. Ralstonia solanacearum was not included in the study, because it is a quarantine organism and is not presently found in Finland, but a few probes were also designed for this species. The probes contained on average 40 target-specific nucleotides and were synthesized on the array in situ, organized as eight sub-arrays with an identical set of probes which could be used for hybridization with different samples. All bacteria were readily distinguished using a single channel system for signal detection. Nearly all of the c. 1000 probes designed for C. michiganensis ssp. sepedonicus, c. 50% and 40% of the c. 4000 probes designed for the genes of S. scabies and P. atrosepticum, respectively, and over 100 probes for S. turgidiscabies showed significant signals only with the respective species. P. atrosepticum, P. carotovorum and Dickeya strains were all detected with 110 common probes. By contrast, the strains of these species were found to differ in their signal profiles. Probes targeting the IGS region and nip genes could be used to place strains of Dickeya to two groups, which correlated with differences in virulence. Taken together, the approach of using a custom-designed, genome-wide microarray provided a robust means for distinguishing the bacterial pathogens of potato.

A new combination of RNA-mediated DNA ligation and on-chip elongation for detecting viral RNA

We describe a novel method that combines RNA-mediated DNA ligation and on-chip elongation for detecting viral RNA. These virus species-specific detection probes (DPs) were designed to match sequences of the "target" virus and then chemically synthesized into 2 parts. If the target virus exists, 2 parts of the DP can be ligated by T4 DNA ligase. The ligated DP was hybridized to its corresponding capture probe (CP) on a DNA array. Then, an on-chip DNA polymerization (including Cy3-dUTP) was performed using the ligated DP as a template and the CP as a primer, which resulted in a reporting fluorescent signal. If the target virus does not exist in a sample, no fluorescence signal is produced. Four common tobacco viruses, tobacco mosaic virus, cucumber mosaic virus, potato virus Y, and potato virus X in single and mixed infections were successfully detected by this method. The sensitivity of the detection limit of this assay is 10 times higher than that of ELISA. The minimum dilution detection limit of this assay was 10(-4) (infected sap/healthy sap). The method has the potential to detect any viral RNA from animal, germs, or fungi where the sequence is known.

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.

Comprehensive viral oligonucleotide probe design using conserved protein regions

Oligonucleotide microarrays have been applied to microbial surveillance and discovery where highly multiplexed assays are required to address a wide range of genetic targets. Although printing density continues to increase, the design of comprehensive microbial probe sets remains a daunting challenge, particularly in virology where rapid sequence evolution and database expansion confound static solutions. Here, we present a strategy for probe design based on protein sequences that is responsive to the unique problems posed in virus detection and discovery. The method uses the Protein Families database (Pfam) and motif finding algorithms to identify oligonucleotide probes in conserved amino acid regions and untranslated sequences. In silico testing using an experimentally derived thermodynamic model indicated near complete coverage of the viral sequence database.

Highly sensitive fluorescent-labeled probes and glass slide hybridization for the detection of plant RNA viruses and a viroid

In this study, a modified method of the conventional RNA dot-blot hybridization was established, by replacing (32)P labels with CY5 labels and replacing nylon membranes with positive-charged glass slides, for detecting plant RNA viruses and a viroid. The modified RNA dot-blot hybridization method was named glass slide hybridization. The optimum efficiency of RNA binding onto the surfaces of activated glass slide was achieved using aminosilane-coated glass slide as a solid matrix and 5xsaline sodium citrate (SSC) as a spotting solution. Using a CY5-labeled DNA probe prepared through PCR amplification, the optimized glass slide hybridization could detect as little as 1.71 pg of tobacco mosaic virus (TMV) RNA. The sensitivity of the modified method was four times that of dot-blot hybridization on nylon membrane with a (32)P-labeled probe. The absence of false positive within the genus Potyvirus [potato virus A, potato virus Y (PVY) and zucchini yellow mosaic virus] showed that this method was highly specific. Furthermore, potato spindle tuber viroid (PSTVd) was also detected specifically. A test of 40 field potato samples showed that this method was equivalent to the conventional dot-blot hybridization for detecting PVY and PSTVd. To our knowledge, this is the first report of using dot-blot hybridization on glass slides with fluorescent-labeled probes for detecting plant RNA viruses and a viroid.

DetectiV: visualization, normalization and significance testing for pathogen-detection microarray data

DNA microarrays offer the possibility of testing for the presence of thousands of micro-organisms in a single experiment. However, there is a lack of reliable bioinformatics tools for the analysis of such data. We have developed DetectiV, a package for the statistical software R. DetectiV offers powerful yet simple visualization, normalization and significance testing tools. We show that DetectiV performs better than previously published software on a large, publicly available dataset.

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.

Radial density distribution and symmetry of a Potexvirus, narcissus mosaic virus

Narcissus mosaic virus is a Potexvirus, a member of the Flexiviridae family of filamentous plant viruses. Fiber diffraction patterns from oriented sols of narcissus mosaic virus have been used to determine the symmetry and structural parameters of the viral helix. The virions have a radius of 55+/-5 A. The viral helix has a pitch of 34.45+/-0.5 A, with 7.8 subunits per turn of the helix. We conclude that all members of the Potexvirus genus have close to 8 subunits per helical turn.

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

ABSTRACT Membrane-based macroarrays provide a relatively inexpensive technology with the potential to detect hundreds of pathogens in a single assay. For the simultaneous detection of a large number of pathogens, it is necessary to obtain sufficient nucleic acids for labeling, and any amplification reactions need to be performed using unbiased, pathogen-non-specific primers. A nonradioactive macroarray system is described to test for plant RNA viruses using 70-mer oligonucleotide probes immobilized on nylon membranes. Starting with a total plant RNA extract, complementary DNA (cDNA) and second-strand syntheses were carried out using an anchor primer sequence with random pentamers coupled at the 3' end. Subsequent synthesis by polymerase chain reaction using the anchor primer alone resulted in a relatively unbiased amplification of plant and viral RNAs. These cDNAs were chemically labeled and the product used as a target in hybridization analyses. The system was validated using RNA extracts from plants infected with Cucumber mosaic virus, Potato virus Y, and Potato leaf roll virus (PLRV). Despite the relative excess of host-derived nonviral sequences, viral RNAs were amplified between 100- and 1,000-fold and were detected in single and mixed infections. The macroarray sensitivity was comparable to that of double-antibody sandwich enzyme-linked immunosorbent assay, with PLRV being detected in sap dilutions of 1:100. The potential for the development of a relatively inexpensive multipathogen detection system is discussed.

Improvement of Potato virus Y (PVY) detection and quantitation using PVY(N)- and PVY(O)-specific real-time RT-PCR assays

A Potato virus Y (PVY) single nucleotide polymorphism (A/G(2213)), recently identified as a molecular determinant of the tobacco leaf necrosis symptom induced by PVY(N) isolates, has been used as a target to develop two PVY group-specific (PVY(N) and PVY(O)) fluorescent (TaqMan-based) real-time RT-PCR assays. These procedures allow detection, characterisation, and quantitation of a wide range of PVY isolates in samples containing 10(3)-10(8) viral transcripts. Moreover, the high specificity of these two new assays make the simultaneous detection and the reliable quantitation of PVY(N) and PVY(O) isolates in mixed solutions, regardless of the Y(N)/Y(O) ratio, feasible. The high sensitivity (threshold of 10(3) copies per reaction) and the PVY group specificity of these two new PVY detection tools clearly improve previously published PVY detection tests and offer new opportunities for PVY research programs.

Detecting single nucleotide polymorphisms using DNA arrays for plant pathogen diagnosis

The lack of a rapid and reliable means for routine pathogen identification has been one of the main limitations in plant disease management, and has pushed the development of culture-independent, molecular approaches. Currently, DNA array technology is the most suitable technique for high-throughput detection and identification, as well as quantification, of multiple pathogens in a single assay. Closely related pathogens that may have completely different host ranges or pathogenicity often differ in only a single to a few base pairs in genes that may be targeted for identification. Therefore, the ability to discriminate single nucleotide polymorphisms (SNPs) should be pursued in any diagnostic assay. In this paper, we demonstrate the utility of DNA array technology to detect SNPs while accounting for specific criteria such as the position of the mismatch, the sequence of the oligonucleotide, and the length and amount of labeled amplicons that are hybridized. When disregarding mismatches at the extreme ends of the oligonucleotides, cross hybridization to single mismatch oligonucleotides is rare when processing environmental samples that contain genetic material from unknown sources. In addition to plant pathology, this study is relevant for any field of research where DNA arrays are used to detect mutations or polymorphisms, ranging from human diagnostics to environmental microbiology and microbial ecology.

Optimization and Application of a Multiplex RT-PCR System for Simultaneous Detection of Five Potato Viruses Using 18S rRNA as an Internal Control

Search for a host RNA molecule appropriate as an internal control for reverse transcription-polymerase chain reaction (RT-PCR) detection of viruses in potato (Solanum tuberosum) was conducted. The 18S ribosomal RNA (rRNA) was compared with the commonly used nad2 mRNA in terms of detection sensitivity and degradation kinetics. Detection of 18S rRNA was 5 magnitudes more sensitive than that of nad2 mRNA. The 18S rRNA also displayed degradation kinetics more similar to that of Potato virus X (PVX). Based on this result, reaction components and cycling parameters were optimized for a multiplex RT-PCR protocol for simultaneous detection of five potato viruses using 18S rRNA as an internal control. The protocol simultaneously amplified cDNAs from Potato virus A, PVX, Potato virus Y, Potato leaf roll virus, Potato virus S, and 18S rRNA. The multiplex RT-PCR protocol was able to detect all viruses in different combinations. The technique was 100-fold greater for detection of PVX than that of commercial double-antibody sandwich-enzyme-linked immunosorbent assay (DAS-ELISA), and also could detect viruses in some samples that DAS-ELISA failed to detect. This multiplex RT-PCR technique demonstrates a higher sensitivity of virus detection than DAS-ELISA.