Rick Mumford

Advances in molecular phytodiagnostics - new solutions for old problems

In the last decade, developments in molecular (nucleic acid-based) diagnostic methods have made significant improvements in the detection of plant pathogens. By using methods such as the polymerase chain reaction (PCR), the range of targets that can now be reliably diagnosed has grown to the extent that there are now extremely few, known pathogens that cannot be identified accurately by using laboratory-based diagnostics. However, while the detection of pathogens in individual, infected samples is becoming simpler, there are still many scenarios that present a major challenge to diagnosticians and plant pathologists. Amongst these are the detection of pathogens in soil or viruses in their vectors, high throughput testing and the development of generic methods, that allow samples to be simultaneously screened for large numbers of pathogens. Another major challenge is to develop robust technologies that avoid the reliance on well-equipped central laboratories and making reliable diagnostics available to pathologists in the field or in less-developed countries. In recent years, much of the research carried out on phytodiagnostics has focussed in these areas and as a result many novel, routine diagnostic tests are becoming available. This has been possible due to the introduction of new molecular technologies such real-time PCR and microarrays. These advances have been complemented by the development of new nucleic acid extraction methods, increased automation, reliable internal controls, assay multiplexing and generic amplification methods. With developments in new hardware, field-portable real-time PCR is now also a reality and offers the prospect of ultra-rapid, on-site molecular diagnostics for the first time. In this paper, the development and implementation of new diagnostic methods based upon novel molecular techniques is presented, with specific examples given to demonstrate how these new methods can be used to overcome some long-standing problems.In the last decade, developments in molecular (nucleic acid-based) diagnostic methods have made significant improvements in the detection of plant pathogens. By using methods such as the polymerase chain reaction (PCR), the range of targets that can now be reliably diagnosed has grown to the extent that there are now extremely few, known pathogens that cannot be identified accurately by using laboratory-based diagnostics. However, while the detection of pathogens in individual, infected samples is becoming simpler, there are still many scenarios that present a major challenge to diagnosticians and plant pathologists. Amongst these are the detection of pathogens in soil or viruses in their vectors, high throughput testing and the development of generic methods, that allow samples to be simultaneously screened for large numbers of pathogens. Another major challenge is to develop robust technologies that avoid the reliance on well-equipped central laboratories and making reliable diagnostics available to pathologists in the field or in less-developed countries. In recent years, much of the research carried out on phytodiagnostics has focussed in these areas and as a result many novel, routine diagnostic tests are becoming available. This has been possible due to the introduction of new molecular technologies such real-time PCR and microarrays. These advances have been complemented by the development of new nucleic acid extraction methods, increased automation, reliable internal controls, assay multiplexing and generic amplification methods. With developments in new hardware, field-portable real-time PCR is now also a reality and offers the prospect of ultra-rapid, on-site molecular diagnostics for the first time. In this paper, the development and implementation of new diagnostic methods based upon novel molecular techniques is presented, with specific examples given to demonstrate how these new methods can be used to overcome some long-standing problems.

Methods in virus diagnostics: from ELISA to next generation sequencing.

Despite the seemingly continuous development of newer and ever more elaborate methods for detecting and identifying viruses, very few of these new methods get adopted for routine use in testing laboratories, often despite the many and varied claimed advantages they possess. To understand why the rate of uptake of new technologies is so low, requires a strong understanding of what makes a good routine diagnostic tool to begin. This can be done by looking at the two most successfully established plant virus detection methods: enzyme-linked immunosorbant assay (ELISA) and more recently introduced real-time polymerase chain reaction (PCR). By examining the characteristics of this pair of technologies, it becomes clear that they share many benefits, such as an industry standard format and high levels of repeatability and reproducibility. These combine to make methods that are accessible to testing labs, which are easy to establish and robust in their use, even with new and inexperienced users. Hence, to ensure the establishment of new techniques it is necessary to not only provide benefits not found with ELISA or real-time PCR, but also to provide a platform that is easy to establish and use. In plant virus diagnostics, recent developments can be clustered into three core areas: (1) techniques that can be performed in the field or resource poor locations (e.g., loop-mediated isothermal amplification LAMP); (2) multiplex methods that are able to detect many viruses in a single test (e.g., Luminex bead arrays); and (3) methods suited to virus discovery (e.g., next generation sequencing, NGS). Field based methods are not new, with Lateral Flow Devices (LFDs) for the detection being available for a number of years now. However, the widespread uptake of this technology remains poor. LAMP does offer significant advantages over LFDs, in terms of sensitivity and generic application, but still faces challenges in terms of establishment. It is likely that the main barrier to the uptake of field-based technologies is behavioural influences, rather than specific concerns about the performance of the technologies themselves. To overcome this, a new relationship will need to develop between centralised testing laboratories offering services and those requiring tests; a relationship which is currently in its infancy. Looking further into the future, virus discovery and multiplex methods seem to converge as NGS becomes ever cheaper, easier to perform and can provide high levels of multiplexing without the use of virus specific reagents. So ultimately the key challenge from a routine testing lab perspective will not be one of investment in platforms-which could even be outsourced to commercial sequencing services-but one of having the skills and expertise to analyse the large datasets generated and their subsequent interpretation. In conclusion, only time will tell which of the next-generation of methods currently in development will become the routine diagnostics of the future. This will be determined through a combination of factors. And while the technology itself will have to offer performance advantages over existing methods in order to supplant them, it is likely to be human factors e.g., the behaviours of end users, laboratories and policy makers, the availability of appropriate expertise, that ultimately determine which ones become established. Hence factors cannot be ignored and early engagement with diagnostic stakeholders is essential.

Exploiting generic platform technologies for the detection and identification of plant pathogens

The detection and identification of plant pathogens currently relies upon a very diverse range of techniques and skills, from traditional culturing and taxonomic skills to modern molecular-based methods. The wide range of methods employed reflects the great diversity of plant pathogens and the hosts they infect. The well-documented decline in taxonomic expertise, along with the need to develop ever more rapid and sensitive diagnostic methods has provided an impetus to develop technologies that are both generic and able to complement traditional skills and techniques. Real-time polymerase chain reaction (PCR) is emerging as one such generic platform technology and one that is well suited to high-throughput detection of a limited number of known target pathogens. Real-time PCR is now exploited as a front line diagnostic screening tool in human health, animal health, homeland security, biosecurity as well as plant health. Progress with developing generic techniques for plant pathogen identification, particularly of unknown samples, has been less rapid. Diagnostic microarrays and direct nucleic acid sequencing (de novo sequencing) both have potential as generic methods for the identification of unknown plant pathogens but are unlikely to be suitable as high-throughput detection techniques. This paper will review the application of generic technologies in the routine laboratory as well as highlighting some new techniques and the trend towards multi-disciplinary studies.

Seed transmission of Pepino mosaic virus in tomato

In this manuscript we provide evidence for the seed transmission of Pepino mosaic virus (PepMV) in tomato. Fruit was harvested from a tomato crop artificially infected with both European and CH2 genotypes of PepMV and more than 100,000 seeds were extracted and cleaned using an enzymatic treatment without disinfection. Infection assays using indicator plants confirmed the presence of viable virus on the seeds. Seeds were distributed to ten different laboratories in three separate batches, where they were germinated and the young plants tested by ELISA. In total over 87,000 plants were tested and 23 positives detected, indicating an overall transmission rate of 0.026%. However, the observed seed transmission rates varied from 0.005% to 0.057%, depending on the seed batch used. Results clearly showed that PepMV can be transmitted from seeds contaminated with virus to seedlings, highlighting the risk of using seeds from PepMV-infected plants and the potential for seed transmission to contribute to the further spread of PepMV.

Real-time quantitative PCR based sensitive detection and genotype discrimination of Pepino mosaic virus

Over the last decade a new virus disease caused by Pepino mosaic virus (PepMV) has been threatening the tomato industry worldwide. Reliable detection is vitally important to aid disease control. Methods must be both sensitive and capable of detecting the range of distinct genotypes that have been identified. The development of five new reverse transcription real-time quantitative PCR (RT-qPCR) assays is described, which allow the detection of all known PepMV genotypes. The performance of the assays was evaluated on Peruvian, European tomato, Ch2 and US1 PepMV genotypes and optimised for both two- and one-step RT-qPCR detection formats. One-step RT-qPCR detected PepMV European tomato genotype particles at least two orders of magnitude more sensitively than ELISA. The method detected as little as one naturally infected seed among 5000 uninfected seeds. The genotype-specificity of the five assays was compared using PepMV isolates representing all of the different genotypes. The following genotype combinations were all discriminated successfully: European tomato-Peruvian, Ch2, and US1. In addition to its application for diagnostic purposes, the genotype-specificity and the quantitative potential of the method, makes it very useful for epidemiological studies or for studies evaluating resistance of plants to virus infection.

Panel of 23S rRNA Gene-Based Real-Time PCR Assays for Improved Universal and Group-Specific Detection of Phytoplasmas†

ABSTRACT Primers and probes based on the 23S rRNA gene have been utilized to design a range of real-time PCR assays for routine phytoplasma diagnostics. These assays have been authenticated as phytoplasma specific and shown to be at least as sensitive as nested PCR. A universal assay to detect all phytoplasmas has been developed, along with a multiplex assay to discriminate 16SrI group phytoplasmas from members of all of the other 16Sr groups. Assays for the 16SrII, 16SrIV, and 16SrXII groups have also been developed to confirm that the 23S rRNA gene can be used to design group-specific assays.

Direct Detection of Plant Viruses in Potato Tubers using Real-time PCR

Virus indexing of seed potatoes can be carried out by growing eye plugs to produce small plants and then testing them by ELISA, but this method is time consuming. Direct testing of the eye plugs by ELISA is not reliable, and so a method has been developed for the routine testing of seed potatoes for virus by PCR.

Transcriptome sequencing identifies novel persistent viruses in herbicide resistant wild-grasses

Herbicide resistance in wild grasses is widespread in the UK, with non-target site resistance (NTSR) to multiple chemistries being particularly problematic in weed control. As a complex trait, NTSR is driven by complex evolutionary pressures and the growing awareness of the role of the phytobiome in plant abiotic stress tolerance, led us to sequence the transcriptomes of herbicide resistant and susceptible populations of black-grass and annual rye-grass for the presence of endophytes. Black-grass (Alopecurus myosuroides; Am) populations, displaying no overt disease symptoms, contained three previously undescribed viruses belonging to the Partititiviridae (AMPV1 and AMPV2) and Rhabdoviridae (AMVV1) families. These infections were widespread in UK black-grass populations and evidence was obtained for similar viruses being present in annual rye grass (Lolium rigidum), perennial rye-grass (Lolium perenne) and meadow fescue (Festuca pratensis). In black-grass, while no direct causative link was established linking viral infection to herbicide resistance, transcriptome sequencing showed a high incidence of infection in the NTSR Peldon population. The widespread infection of these weeds by little characterised and persistent viruses and their potential evolutionary role in enhancing plant stress tolerance mechanisms including NTSR warrants further investigation.

The development of monoclonal antibodies to the secA protein of Cape St. Paul wilt disease phytoplasma and their evaluation as a diagnostic tool

Partial recombinant secA proteins were produced from six different phytoplasma isolates representing five 16Sr groups and the expressed, purified recombinant (partial secA) protein from Cape St. Paul wilt disease phytoplasma (CSPWD, 16SrXXII) was used to immunise mice. Monoclonal antibodies (mAbs) were selected by screening hybridoma supernatants for binding to the recombinant proteins. To characterise the binding to proteins from different phytoplasmas, the antibodies were screened by ELISA and western blotting, and epitope mapping was undertaken. Eight different mAbs with varying degrees of specificity against recombinant proteins from different phytoplasma groups were selected. Western blotting revealed that the mAbs bind to proteins in infected plant material, two of which were specific for phytoplasmas. ELISA testing of infected material, however, gave negative results suggesting that either secA was not expressed at sufficiently high levels, or conformational changes of the reagents adversely affected detection. This work has shown that the phytoplasma secA gene is not a suitable antibody target for routine detection, but has illustrated proof of principle for the methodology.