A TaqMan-PCR protocol for quantification and differentiation of the phytopathogenic Clavibacter michiganensis subspecies

Clavibacter nebraskensis causing Goss's wilt of maize: Five decades of detaining the enemy in the New World

Goss's bacterial wilt and leaf blight of maize (Zea mays) caused by the gram-positive coryneform bacterium Clavibacter nebraskensis is an economically important disease in North America. C. nebraskensis is included within the high-risk list of quarantine pathogens by several plant protection organizations (EPPO code: CORBMI), hence it is under strict quarantine control around the world. The causal agent was reported for the first time on maize in Nebraska (USA) in 1969. After an outbreak during the 1970s, prevalence of the disease decreased in the 1980s to the early 2000s, before the disease resurged causing a serious threat to maize production in North America. The re-emergence of Goss's wilt in the corn belt of the United States led to several novel achievements in understanding the pathogen biology and disease control. In this review, we provide an updated overview of the pathogen taxonomy, biology, and epidemiology as well as management strategies of Goss's wilt disease. First, a taxonomic history of the pathogen is provided followed by symptomology and host range, genetic diversity, and pathogenicity mechanisms of the bacterium. Then, utility of high-throughput molecular approaches in the precise detection and identification of the pathogen and the management strategies of the disease are explained. Finally, we highlight the role of integrated pest management strategies to combat the risk of Goss's wilt in the 21st century maize industry.

DISEASE SYMPTOMS

Large (2-15 cm) tan to grey elongated oval lesions with wavy, irregular water-soaked margins on the leaves. The lesions often start at the leaf tip or are associated with wounding caused by hail or wind damage. Small (1 mm in diameter), dark, discontinuous water-soaked spots, known as "freckles", can be observed in the periphery of lesions. When backlit, the freckles appear translucent. Early infection (prior to growth stage V6) may become systemic and cause seedlings to wilt, wither, and die. Coalescence of lesions results in leaf blighting.

HOST RANGE

Maize (Zea mays) is the only economic host of the pathogen. A number of Poaceae species are reported to act as secondary hosts for C. nebraskensis.

TAXONOMIC STATUS OF THE PATHOGEN

Class: Actinobacteria; Order: Micrococcales; Family: Microbacteriaceae; Genus: Clavibacter; Species: Clavibacter nebraskensis.

SYNONYMS

Corynebacterium nebraskense (Schuster, 1970) Vidaver & Mandel 1974; Corynebacterium michiganense pv. nebraskense (Vidaver & Mandel 1974) Dye & Kemp 1977; Corynebacterium michiganense subsp. nebraskense (Vidaver & Mandel 1974) Carlson & Vidaver 1982; Clavibacter michiganense subsp. nebraskense (Vidaver & Mandel 1974) Davis et al. 1984; Clavibacter michiganensis subsp. nebraskensis (Vidaver & Mandel 1974) Davis et al. 1984.

TYPE MATERIALS

ATCC 27794^T ; CFBP 2405^T ; ICMP 3298^T ; LMG 3700^T ; NCPPB 2581^T .

MICROBIOLOGICAL PROPERTIES

Cells are gram-positive, orange-pigmented, pleomorphic club- or rod-shaped, nonspore-forming, nonmotile, and without flagella, approximately 0.5 × 1-2.0 μm.

DISTRIBUTION

The pathogen is restricted to Canada and the United States.

PHYTOSANITARY CATEGORIZATION

EPPO code CORBNE.

Evaluation of Droplet Digital PCR for the Detection of Black Canker Disease in Tomato

Clavibacter michiganensis subsp. michiganensis, the cause of bacterial canker disease, is one of the most destructive pathogens in greenhouse and field tomato. The pathogen is now present in all main production areas of tomato and is widely distributed in the European and Mediterranean Plant Protection Organization region. The inspection and quarantine of the plant pathogens relies heavily on accurate detection tools. Primers and probes reported in previous studies do not distinguish the C. michiganensis subsp. michiganensis pathogen from other closely related subspecies of C. michiganensis, especially the nonpathogenic subspecies that were identified from tomato seeds recently. Here, we have developed a droplet digital PCR (ddPCR) method for the identification of this specific bacterium with primers/TaqMan probe set designed based on the pat-1 gene of C. michiganensis subsp. michiganensis. This new primers/probe set has been evaluated by real-time PCR (qPCR) and ddPCR. The detection results suggest that the ddPCR method established in this study was highly specific for the target strains. The result showed the positive amplification for all five C. michiganensis subsp. michiganensis strains, and no amplification was observed for the other 43 tested bacteria, including the closely related C. michiganensis strains. The detection threshold of ddPCR was 10.8 CFU/ml for both pure C. michiganensis subsp. michiganensis cell suspensions and infected tomato seed, which was 100-fold more sensitive than qPCR performed using the same primers and probe. The data obtained suggest that our established ddPCR could detect C. michiganensis subsp. michiganensis even with low bacterial load, which could facilitate both C. michiganensis subsp. michiganensis inspection for pathogen quarantine and the routine pathogen detection for disease control of black canker in tomato.

MinION Nanopore-based detection of Clavibacter nebraskensis, the corn Goss's wilt pathogen, and bacteriomic profiling of necrotic lesions of naturally-infected leaf samples

The Goss’s bacterial wilt pathogen, Clavibacter nebraskensis, of corn is a candidate A1 quarantine organism; and its recent re-emergence and spread in the USA and Canada is a potential biothreat to the crop. We developed and tested an amplicon-based Nanopore detection system for C. nebraskensis (Cn), targeting a purine permease gene. The sensitivity (1 pg) of this system in mock bacterial communities (MBCs) spiked with serially diluted DNA of C. nebraskensis NCPPB 2581^T is comparable to that of real-time PCR. Average Nanopore reads increased exponentially from 125 (1pg) to about 6000 reads (1000 pg) after a 3-hr run-time, with 99.0% of the reads accurately assigned to C. nebraskensis. Three run-times were used to process control MBCs, Cn-spiked MBCs, diseased and healthy leaf samples. The mean Nanopore reads doubled as the run-time is increased from 3 to 6 hrs while from 6 to 12 hrs, a 20% increment was recorded in all treatments. Cn-spiked MBCs and diseased corn leaf samples averaged read counts of 5,100, 11,000 and 14,000 for the respective run-times, with 99.8% of the reads taxonomically identified as C. nebraskensis. The control MBCs and healthy leaf samples had 47 and 14 Nanopore reads, respectively. 16S rRNA bacteriomic profiles showed that Sphingomonas (22.7%) and Clavibacter (21.2%) were dominant in diseased samples while Pseudomonas had only 3.5% relative abundance. In non-symptomatic leaf samples, however, Pseudomonas (20.0%) was dominant with Clavibacter at 0.08% relative abundance. This discrepancy in Pseudomonas abundance in the samples was corroborated by qPCR using EvaGreen chemistry. Our work outlines a new useful tool for diagnosis of the Goss’s bacterial wilt disease; and provides the first insight on Pseudomonas community dynamics in necrotic leaf lesions.

Pantoea ananatis, A New Bacterial Pathogen Affecting Wheat Plants (Triticum L.) in Poland

Wheat (Triticum aestivum) is one of the most economically important crops in the world. During the routine monitoring of wheat pest, the cereal leaf beetle (CLB, Oulema melanopus, Coleoptera, Chrysomelidae), in the Greater Poland region, it was observed that some leaves wounded by CLB also displayed brownish lesions with clear margins and yellow halo, disease symptoms resembling a bacterial infection. The aim of this study was therefore to investigate those symptoms to establish a causal agent of the disease. The identification based on the results of the Biolog’s Gen III system, 16S rRNA, and gyrB genes sequencing, revealed the presence of eight strains of Pantoea ananatis bacteria. Four strains were derived from wheat leaves (Ta024, Ta027, Ta030, Ta046), and four from the CLB’s oral secretion (OUC1, OUD2, OUF2, and OUG1). They shared the nucleotide identity ranging from 99 to 100% to P. ananatis strains deposited in the GenBank database. Additionally, the multi-locus sequence analysis (MLSA) of concatenated sequences of partial atpD, fusA, gyrB, rplB, and rpoB genes was performed. All P. ananatis strains isolated in Poland, grouped into one cluster supported with high bootstrap value. Pathogenicity tests performed on four varieties of wheat plants have identified P. ananatis strains as a causal agent of wheat disease. To our knowledge, this is the first report of P. ananatis affecting wheat plants.

Multiplex real-time PCR for the detection of Clavibacter michiganensis subsp. michiganensis, Pseudomonas syringae pv. tomato and pathogenic Xanthomonas species on tomato plants

A multiplex real-time PCR method based on fluorescent TaqMan® probes was developed for the simultaneous detection of the tomato pathogenic bacteria Clavibacter michiganensis subsp. michiganensis, Pseudomonas syringae pv. tomato and bacterial spot-causing xanthomonads. The specificity of the multiplex assay was validated on 44 bacterial strains, including 32 target pathogen strains as well as closely related species and nontarget tomato pathogenic bacteria. The designed multiplex real-time PCR showed high sensitivity when positive amplification was observed for one pg of bacterial DNA in the cases of Clavibacter michiganensis subsp. michiganensis and Pseudomonas syringae pv. tomato bacteria and 100 pg for bacterial spot-causing xanthomonads. The reliability of the developed multiplex real-time PCR assay for in planta detection was verified by recognition of the target pathogens in 18 tomato plants artificially inoculated by each of the target bacteria and tomato samples from production greenhouses.

Comparative analysis of different molecular and serological methods for detection of Xylella fastidiosa in blueberry

Bacterial leaf scorch, caused by Xylella fastidiosa, is a major threat to blueberry production in the southeastern United States. Management of this devastating disease is challenging and often requires early detection of the pathogen to reduce major loss. There are several different molecular and serological detection methods available to identify the pathogen. Knowing the efficiency and suitability of these detection techniques for application in both field and laboratory conditions is important when selecting the appropriate detection tool. Here, we compared the efficiency and the functionality of four different molecular detection techniques (PCR, real-time PCR, LAMP and AmplifyRP® Acceler8™) and one serological detection technique (DAS-ELISA). The most sensitive method was found to be real-time PCR with the detection limit of 25 fg of DNA molecules per reaction (≈9 genome copies), followed by LAMP at 250 fg per reaction (≈90 copies), AmplifyRP® Acceler8™ at 1 pg per reaction (≈350 copies), conventional PCR with nearly 1.25 pg per reaction (≈ 440 copies) and DAS-ELISA with 1x10⁵ cfu/mL of Xylella fastidiosa. Validation between assays with 10 experimental samples gave consistent results beyond the variation of the detection limit. Considering robustness, portability, and cost, LAMP and AmplifyRP® Acceler8™ were not only the fastest methods but also portable to the field and didn’t require any skilled labor to carry out. Among those two, AmplifyRP® Acceler8™ was faster but more expensive and less sensitive than LAMP. On the other hand, real-time PCR was the most sensitive assay and required comparatively lesser time than C-PCR and DAS-ELISA, which were the least sensitive assays in this study, but all three assays are not portable and needed skilled labor to proceed. These findings should enable growers, agents, and diagnosticians to make informed decisions regarding the selection of an appropriate diagnostic tool for X. fastidiosa on blueberry.

Development of a loop-mediated isothermal amplification assay for specific detection of all known subspecies of Clavibacter michiganensis

AIMS

Clavibacter michiganensis is an important bacterial plant pathogen that causes vast destruction to agriculturally important crops worldwide. Early detection is critical to evaluate disease progression and to implement efficient control measures to avoid serious epidemics. In this study, we developed a sensitive, specific and robust loop-mediated isothermal amplification (LAMP) assay for detection of all known subspecies of C. michiganensis.

METHODS AND RESULTS

Whole genome comparative genomics approach was taken to identify a unique and conserved region within all known subspecies of C. michiganensis. Primer specificity was evaluated in silico and with 64 bacterial strains included in inclusivity and exclusivity panels; no false positives or false negatives were detected. Both the sensitivity and spiked assay of the developed LAMP assay was 1 fg of the pathogen DNA per reaction. A 100% accuracy was observed when tested with infected plant samples.

CONCLUSIONS

The developed LAMP assay is simple, sensitive, robust and easy to perform using different detection platforms and chemistries.

SIGNIFICANCE AND IMPACT OF THE STUDY

The developed LAMP assay can detect all known subspecies of C. michiganensis. The LAMP process can be performed isothermally at 65°C and results can be visually assessed, which makes this technology a promising tool for monitoring the disease progression and for accurate pathogen detection at point-of-care.

Genome Analysis and Development of a Multiplex TaqMan Real-Time PCR for Specific Identification and Detection of Clavibacter michiganensis subsp. nebraskensis

The reemergence of the Goss's bacterial wilt and blight disease in corn in the United States and Canada has prompted investigative research to better understand the genome organization. In this study, we generated a draft genome sequence of Clavibacter michiganensis subsp. nebraskensis strain DOAB 395 and performed genome and proteome analysis of C. michiganensis subsp. nebraskensis strains isolated in 2014 (DOAB 397 and DOAB 395) compared with the type strain, NCPPB 2581 (isolated over 40 years ago). The proteomes of strains DOAB 395 and DOAB 397 exhibited a 99.2% homology but had 92.1 and 91.8% homology, respectively, with strain NCPPB 2581. The majority (99.9%) of the protein sequences had a 99.6 to 100% homology between C. michiganensis subsp. nebraskensis strains DOAB 395 and DOAB 397, with only four protein sequences (0.1%) exhibiting a similarity <70%. In contrast, 3.0% of the protein sequences of strain DOAB 395 or DOAB 397 showed low homologies (<70%) with the type strain NCPPB 2581. The genome data were exploited for the development of a multiplex TaqMan real-time polymerase chain reaction (PCR) tool for rapid detection of C. michiganensis subsp. nebraskensis. The specificity of the assay was validated using 122 strains of Clavibacter and non-Clavibacter spp. A blind test and naturally infected leaf samples were used to confirm specificity. The sensitivity (0.1 to 1.0 pg) compared favorably with previously reported real-time PCR assays. This tool should fill the current gap for a reliable diagnostic technique.

PCR-Mediated Detection and Quantification of the Goss's Wilt Pathogen Clavibacter michiganensis subsp. nebraskensis Via a Novel Gene Target

Goss's leaf blight and wilt of maize (corn) is a significant and reemerging disease caused by the bacterium Clavibacter michiganensis subsp. nebraskensis. Despite its importance, molecular tools for diagnosing and studying this disease remain limited. We report the identification of CMN_01184 as a novel gene target and its use in conventional PCR (cPCR) and SYBR green-based quantitative PCR (qPCR) assays for specific detection and quantification of C. michiganensis subsp. nebraskensis. The cPCR and qPCR assays based on primers targeting CMN_01184 specifically amplified only C. michiganensis subsp. nebraskensis among a diverse collection of 129 bacterial and fungal isolates, including multiple maize bacterial and fungal pathogens, environmental organisms from agricultural fields, and all known subspecies of C. michiganensis. Specificity of the assays for detection of only C. michiganensis subsp. nebraskensis was also validated with field samples of C. michiganensis subsp. nebraskensis-infected and uninfected maize leaves and C. michiganensis subsp. nebraskensis-infested and uninfested soil. Detection limits were determined at 30 and 3 ng of pure C. michiganensis subsp. nebraskensis DNA, and 100 and 10 CFU of C. michiganensis subsp. nebraskensis for the cPCR and qPCR assays, respectively. Infection of maize leaves by C. michiganensis subsp. nebraskensis was quantified from infected field samples and was standardized using an internal maize DNA control. These novel, specific, and sensitive PCR assays based on CMN_01184 are effective for diagnosis of Goss's wilt and for studies of the epidemiology and host-pathogen interactions of C. michiganensis subsp. nebraskensis.

Detection of Goss's Wilt Pathogen Clavibacter michiganensis subsp. nebraskensis in Maize by Loop-Mediated Amplification

The Goss's wilt pathogen, Clavibacter michiganensis subsp. nebraskensis, can cause considerable losses in maize (Zea mays) production. Diagnosis of Goss's wilt currently is based on symptomology and identification of C. michiganensis subsp. nebraskensis, following isolation on a semiselective medium and/or serological testing. In an effort to provide a more efficient identification method, a loop-mediated amplification (LAMP) assay was developed to detect the tripartite ATP-independent periplasmic (TRAP)-type C4-dicarboxylate transport system large permease component and tested using strains of C. michiganensis subsp. nebraskensis, all other C. michiganensis subspecies and several genera of nontarget bacteria. Only strains of C. michiganensis subsp. nebraskensis reacted positively with the LAMP assay. The LAMP assay was then used to identify bacterial isolates from diseased maize. 16S rDNA and dnaA sequence analyses were used to confirm the identity of the maize isolates and validate assay specificity. The Cmm ImmunoStrip assay was included as a presumptive identification test of C. michiganensis subsp. nebraskensis at the species level. The Cmn-LAMP assay was further tested using symptomatic leaf tissue. The Cmn-LAMP assay was run in a hand-held real-time monitoring device (SMART-DART) and performed equally to in-lab quantitative polymerase chain reaction equipment. The Cmn-LAMP assay accurately identified C. michiganensis subsp. nebraskensis and has potential as a field test. The targeted sequence also has potential application in other molecular detection platforms.

Bacterial Canker of Tomato: Current Knowledge of Detection, Management, Resistance, and Interactions

Clavibacter michiganensis subsp. michiganensis is the causal agent of bacterial canker of tomato. The disease was first described in 1910 in Michigan, USA. C. michiganensis subsp. michiganensis (from now on called clavibacter) was initially thought to be a phloem parasite, but was later found to be a xylem-invading bacterium. The host range comprises mainly solanaceous crops such as tomato, pepper, and eggplant. Strains show great variability in virulence and are usually described as being hypervirulent, hypovirulent, or nonvirulent. Clavibacter lacks a type III secretion system, and only a few virulence factors have been experimentally determined from the many putative virulence factors. As the molecular mode of infection by clavibacter is unknown, researchers have avoided intensive work on this organism. Genetic plant mechanisms conferring resistance to clavibacter are apparently complex, and breeders have yet to develop disease-resistant cultivars.

Interactions of seedborne bacterial pathogens with host and non-host plants in relation to seed infestation and seedling transmission

The ability of seed-borne bacterial pathogens (Acidovorax citrulli, Clavibacter michiganensis subsp. michiganensis, Pseudomonas syringae pv. tomato, Xanthomonas euvesicatoria, and Pseudomonas syringae pv. glycinea) to infest seeds of host and non-host plants (watermelon, tomato, pepper, and soybean) and subsequent pathogen transmission to seedlings was investigated. A non-pathogenic, pigmented strain of Serratia marcescens was also included to assess a null-interacting situation with the same plant species. Flowers of host and non-host plants were inoculated with 1 × 10(6) colony forming units (CFUs)/flower for each bacterial species and allowed to develop into fruits or umbels (in case of onion). Seeds harvested from each host/non-host bacterial species combination were assayed for respective bacteria by plating on semi-selective media. Additionally, seedlots for each host/non-host bacterial species combination were also assayed for pathogen transmission by seedling grow-out (SGO) assays under greenhouse conditions. The mean percentage of seedlots infested with compatible and incompatible pathogens was 31.7 and 30.9% (by plating), respectively and they were not significantly different (P = 0.67). The percentage of seedlots infested with null-interacting bacterial species was 16.8% (by plating) and it was significantly lower than the infested lots generated with compatible and incompatible bacterial pathogens (P = 0.03). None of the seedlots with incompatible/null-interacting bacteria developed symptoms on seedlings; however, when seedlings were assayed for epiphytic bacterial presence, 19.5 and 9.4% of the lots were positive, respectively. These results indicate that the seeds of non-host plants can become infested with incompatible and null-interacting bacterial species through flower colonization and they can be transmitted via epiphytic colonization of seedlings. In addition, it was also observed that flowers and seeds of non-host plants can be colonized by compatible/incompatible/null-interacting bacteria to higher populations; however, the level of colonization differed significantly depending on the type of bacterial species used.

Simultaneous detection of Clavibacter michiganensis subsp. nebraskensis and Pantoea stewartii subsp. stewartii based on microsphere immunoreaction

Clavibacter michiganensis subsp. nebraskensis (Cmn) and Pantoea stewartii subsp. stewartii (Pss) are two plant pathogens that can cause tremendous agricultural economic losses. This novel method based on microsphere immunoreaction was developed for the simultaneous detection of Cmn and Pss in maize. This multiplex method was constructed based on microsphere immunodetection with fluorescent labels such as quantum dots (QDs) and R-phycoerythrin (R-PE) for the detection of Cmn and Pss. Captured QDs and R-PE serve as signal reporters for fluorescent readout. The principle of this method is based on a sandwich immunoreaction. Cmn and Pss captured by the microspheres were detected using flow cytometry. The limit of detection of this method was 10 times lower than the enzyme-linked immunosorbent assay (ELISA), and its analysis time (1 h) was much shorter compared with ELISA (6-8 h). The method, which has been proven to be an effective approach to multiplex detection of plant bacteria (Cmn and Pss as models), not only increased the varieties but also improved the sensitivity. The microsphere immunoreaction provides a universal method for the multiplex determination of microbes because of its high sensitivity, specificity, and speed. In the future, the method will be more fully validated in vivo to detect diversiform bacteria.

Multiplex PCR to detect four different tomato-infecting pathogens

This work was aimed to develop a multiplex PCR assay to detect infectious agents such as Clavibacter michiganensis subsp. michiganensis, Fusarium sp, Leveillula taurica, and begomoviruses in tomato (Solanum lycopersicum) plants. Specific primer sets of each pathogen were designed based on intergenic ribosomal RNA sequences for the first three, whereas for begomoviruses, primers were designed based on conserved regions. The design also considered that the length (200-800 bp) of the PCR products was resolvable by electrophoresis; thus 296, 380, 457, and 731 bp fragments for Clavibacter, Fusarium, Leveillula, and begomoviruses, respectively, were considered. PCR conditions were optimized to amplify all the products in a single tube from genomic DNA and circumvent PCR inhibitors from infected plants. Finally, when the multiplex PCR assay was tested with tomato plants infected with any of the four pathogens, specific PCR products confirmed the presence of the pathogens. Optimized PCR multiplex allowed for the accurate and simultaneous detection of Clavibacter, Fusarium, Leveillula, and begomoviruses in infected plants or seeds from tomato.

A quantitative and direct PCR assay for the subspecies-specific detection of Clavibacter michiganensis subsp. michiganensis based on a ferredoxin reductase gene

The Gram-positive bacterium Clavibacter michiganensis subsp. michiganensis is the causal agent of canker disease in tomato. Because it is very important to control newly introduced inoculum sources from commercial materials, the specific detection of this pathogen in seeds and seedlings is essential for effective disease control. In this study, a novel and efficient assay for the detection and quantitation of C. michiganensis subsp. michiganensis in symptomless tomato and red pepper seeds was developed. A pair of polymerase chain reaction (PCR) primers (Cmm141F/R) was designed to amplify a specific 141 bp fragment on the basis of a ferredoxin reductase gene of C. michiganensis subsp. michiganensis NCPPB 382. The specificity of the primer set was evaluated using purified DNA from 16 isolates of five C. michiganensis subspecies, one other Clavibacter species, and 17 other reference bacteria. The primer set amplified a single band of expected size from the genomic DNA obtained from the C. michiganensis subsp. michiganensis strains but not from the other C. michiganensis subspecies or from other Clavibacter species. The detection limit was a single cloned copy of the ferredoxin reductase gene of C. michiganensis subsp. michiganensis. In conclusion, this quantitative direct PCR assay can be applied as a practical diagnostic method for epidemiological research and the sanitary management of seeds and seedlings with a low level or latent infection of C. michiganensis subsp. michiganensis.

A Real-Time PCR Assay for the Detection of Clavibacter michiganensis subsp. sepedonicus Based on the Cellulase A Gene Sequence

Clavibacter michiganensis subsp. sepedonicus, causal agent of bacterial ring rot (BRR) of potato (Solanum tuberosum), is a globally important quarantine pathogen that is managed in North America using zero tolerance regulations in the certified seed industry. C. michiganensis subsp. sepedonicus is well documented to cause symptomless infections in potato, contributing to its persistence in certified seed stocks. Reliable laboratory methods to detect symptomless infections with a high degree of sensitivity could assist in the reduction of inoculum in certified seed potato stocks. A real-time polymerase chain reaction (PCR) assay was developed using the cellulase A (CelA) gene sequence as the basis for primer design. CelA primers were specific to C. michiganensis subsp. sepedonicus grown in vitro and did not detect any other coryneform bacteria or potato pathogenic bacteria but did detect 69 strains of C. michiganensis subsp. sepedonicus. The CelA real-time PCR assay was more sensitive than immunofluorescence (IFA) and Cms50/72a PCR assays in detecting C. michiganensis subsp. sepedonicus in infected potato tuber cores blended with healthy tuber cores in simulated seed lot contamination experiments. CelA primers detected nonmucoid and mucoid strains with equivalent sensitivity. In naturally infected seed lots, CelA PCR primers also were more sensitive in detecting symptomless infections of C. michiganensis subsp. sepedonicus in seed tubers prior to planting compared to Cms50/72a PCR primers, IFA, and enzyme-linked immunosorbent assay. A real-time PCR format using the newly developed CelA primers proved to be a very robust detection tool for C. michiganensis subsp. sepedonicus with the added advantage of detecting only virulent strains of the ring rot bacterium.

Detection of four major bacterial potato pathogens

Ring rot, brown rot and blackleg represent major bacterial pathogens of potato. The methods described below are aimed at basic identification of ring rot, brown rot or blackleg in a tuber sample.

An Internal Reaction Control for Routine Detection of Clavibacter michiganensis subsp. sepedonicus Using a Real-Time TaqMan PCR-Based Assay

An internal reaction control was integrated into a TaqMan polymerase chain reaction (PCR) assay for the detection of Clavibacter michiganensis subsp. sepedonicus, the causal organism of bacterial ring rot of potato. The reaction control, cloned into plasmid pCmsC4, consisted of a sequence unrelated to C. michiganensis subsp. sepedonicus flanked by the primer sequences used in the TaqMan PCR, thus eliminating the need for multiplexing. Inclusion of the reaction control plasmid in the TaqMan assay had no effect on either the limit of detection or the specificity of the method. Addition of SYBR Green permitted melt analysis of PCR products. The 242-bp reaction control amplicon, with a melt temperature of approximately 94.5°C, could easily be distinguished from the 152-bp primary diagnostic target amplicon, which had a melt temperature of about 85.5°C. Electrophoretic analysis showed that appearance of either melt peak correlated well with the presence of the appropriate amplicon. Two different substances, guanidine-HCl and humic acid, inhibited the amplification of the reaction control at concentrations lower than those that inhibited the primary diagnostic target, demonstrating the reaction control's effectiveness in detecting inhibition or reaction failure. Using the reaction control plasmid, a quantitative threshold for inhibitor detection was established. This permitted the validation of negative results, and thus facilitated the use of TaqMan real-time PCR in the routine testing of diagnostic samples for C. michiganensis subsp. sepedonicus.

Quantification of Phytophthora capsici Oospores in Soil by Sieving-Centrifugation and Real-Time Polymerase Chain Reaction

A procedure was developed to quantify Phytophthora capsici oospores in soil by combining a sieving-centrifugation method and a real-time quantitative polymerase chain reaction (QPCR) assay. Five soil samples representing three different soil textures were infested with oospores of P. capsici to produce 10¹, 10², 10³, 10⁴, or 10⁵ spores per 10 g of air-dried soil. Each 10-g sample of infested soil was suspended in 400 ml of water and then passed through 106-, 63-, and 38-μm metal sieves. The filtrate was then passed through a 20-μm mesh filter. Materials caught on the filter were washed with water into two 50-ml centrifuge tubes and spun for 4 min (900 × g). The pellet was suspended in 30 ml of 1.6 M sucrose solution and centrifuged for 45 s (190 × g). The supernatant was passed through the 20-μm mesh filter. The sucrose extraction process of oospores was repeated five times to maximize oospore extraction. Materials caught on the 20-μm mesh filter were washed with water into a 50-ml tube and spun for 4 min (900 × g). The pellet was suspended in 1 ml of water, and the number of oospores was determined with a haemocytometer. The relationship between number of oospores recovered from the soil and number of oospores incorporated into the soil was Ŷ = -0.95 + 1.31X - 0.03X² (R² = 0.98), in which Ŷ = log₁₀ of number of oospores recovered from the soil and X = log₁₀ of number of oospores incorporated into the soil. The oospores were germinated after treatment with 0.1% KMnO₄ solution for 10 min to induce germination. On the basis of the detection of ribosomal DNA, a QPCR method for P. capsici oospores was developed. PCR inhibitors were eliminated by extracting oospores from the soil by sieving-centrifugation. DNA was extracted and quantified from P. capsici oospores with suspensions of 10¹, 10^1.5, 10², 10^2.5, 10³, 10^3.5, 10⁴, 10^4.5, and 10⁵ oospores per ml of water. The relationship between the DNA quantities and number of P. capsici oospores was Ŷ = -3.57 - 0.54X + 0.30X² (R² = 0.93), in which Ŷ = log₁₀ (nanogram of P. capsici DNA) and X = log₁₀ (number of oospores). The relationship between the quantity of DNA of P. capsici oospores recovered from the soil and the number of oospores incorporated into the soil was determined by Ŷ = -3.53 - 0.73X + 0.32X² (R² = 0.955, P < 0.05), in which Ŷ = log₁₀ (DNA quantity of P. capsici oospores recovered from the soil) and X = log₁₀ (number of P. capsici oospores incorporated into the soil). Utilizing the sieving-centrifugation and QPCR methods, oospores of P. capsici were quantified in soil samples collected from commercial fields.

Detection and Quantification of Rhizoctonia solani AG-1 IA, the Rice Sheath Blight Pathogen, in Rice Using Real-Time PCR

Rhizoctonia solani Kühn is the causal organism of sheath blight, a major rice disease worldwide that severely impairs yield and quality. It is difficult to identify the pathogen in the early phase of the infection and to accurately quantify the fungal development based on visual inspection. Therefore, a rapid and reliable method is advantageous for the detection and quantification of the pathogen causing this important rice disease. In this study, a real-time, quantitative polymerase chain reaction (QPCR) assay was developed to detect and quantify R. solani AG-1 IA DNA from infected rice plants. A specific primer pair was designed based on the internal transcribed spacer region of the fungal ribosomal DNA. The specific detection of R. solani DNA was successful with quantities as low as 1 pg. The QPCR assay could be used for detecting the rice sheath blight pathogen, quantifying fungal aggressiveness, and evaluating the resistance level of rice cultivars.

Detection of Xanthomonas fragariae and presumptive detection of Xanthomonas arboricola pv. fragariae, from strawberry leaves, by real-time PCR

Real-time (TaqMan) PCR assays were developed to detect the strawberry angular leaf spot pathogen Xanthomonas fragariae (Xf) and the strawberry bacterial blight pathogen Xanthomonas arboricola pv. fragariae (Xaf). The Xf PCR (Xf gyrB) was designed within regions of the gyraseB gene, unique to Xf, after generating gyraseB DNA sequence data from Xf and other closely related strains. The Xaf PCR (Xaf pep) was designed within regions of the pep prolyl endopeptidase gene that were unique to Xaf, after generating pep DNA sequence data from Xf and Xaf strains. The Xf gyrB PCR detected only Xf strains amongst a panel of 20 Xanthomonas-related spp. and pathovars. The Xaf pep PCR assay detected all Xaf strains tested plus two other (of three tested) X. arboricola pathovars. An existing genomic DNA extraction protocol was modified to facilitate detection of both pathogens to 10(3) cells per strawberry leaf disc.

A novel real-time PCR for Listeria monocytogenes that monitors analytical performance via an internal amplification control

We describe a novel quantitative real-time (Q)-PCR assay for Listeria monocytogenes based on the coamplification of a target hly gene fragment and an internal amplification control (IAC). The IAC is a chimeric double-stranded DNA containing a fragment of the rapeseed BnACCg8 gene flanked by the hly-specific target sequences. This IAC is detected using a second TaqMan probe labeled with a different fluorophore, enabling the simultaneous monitoring of the hly and IAC signals. The hly-IAC assay had a specificity and sensitivity of 100%, as assessed using 49 L. monocytogenes isolates of different serotypes and 96 strains of nontarget bacteria, including 51 Listeria isolates. The detection and quantification limits were 8 and 30 genome equivalents, and the coefficients for PCR linearity (R2) and efficiency (E) were 0.997 and 0.80, respectively. We tested the performance of the hly-IAC Q-PCR assay using various broth media and food matrices. Fraser and half-Fraser media, raw pork, and raw or cold-smoked salmon were strongly PCR-inhibitory. This Q-PCR assay for L. monocytogenes, the first incorporating an IAC to be described for quantitative detection of a food-borne pathogen, is a simple and robust tool facilitating the identification of false negatives or underestimations of contamination loads due to PCR failure.

Development of real-time PCR using Minor Groove Binding probe to monitor the biological control agent Candida oleophila (strain O)

A real-time PCR assay using a 3'-Minor Groove Binding (MGB) probe was developed for specific detection and monitoring of Candida oleophila (strain O), a biocontrol agent against Botrytis cinerea and Penicillium expansum, on harvested apples. The application of the RAPD technique on C. oleophila strains followed by reproducible sequence characterized amplified region (SCAR) amplifications allowed the identification of a semi-specific fragment of 244 bp, observed in the profiles of strain O and three other C. oleophila strains. After sequencing, polymorphisms (3%) were observed between the strain O sequence and the three other sequences. A 3'-Minor Groove Binding probe was designed to specifically match a region of the strain O sequence and was able to discriminate a single base mutation or a two-base difference in the corresponding sequences of the non-target strains. This specific detection method was applied to monitor strain O population, recovered by a washing buffer, from harvested apples. Population densities were calculated using an external standard curve consisting in a serial dilution of strain O cells in the washing buffer from untreated apples. Linearity in the standard curve was kept between 1.64 x 10(2) and 1.64 x 10(5) cfu cm(-2) of apple surface. During a first practical experiment, the calculated population densities were similar to those obtained by plating on semi-selective media. This new real-time PCR method is a promising tool to monitor quickly and specifically strain O population on apple surface in middle- or large-scale experiments.

Detection and Quantification of Fusarium solani f. sp. glycines in Soybean Roots with Real-Time Quantitative Polymerase Chain Reaction

Fusarium solani f. sp. glycines is the causal organism of soybean sudden death syndrome (SDS). This organism is difficult to detect and quantify because it is a slow-growing fungus with variable phenotypic characteristics. Reliable and fast procedures are important for detection of this soybean pathogen. Protocols were optimized for extraction of DNA from pure fungal cultures and fresh or dry roots. A new procedure to test polymerase chain reaction (PCR) inhibitors in DNA extracts was developed. Novel real-time quantitative PCR (QPCR) assays were developed for both absolute and relative quantification of F. solani f. sp. glycines. The fungus was quantified based on detection of the mitochondrial small-subunit rRNA gene, and the host plant based on detection of the cyclophilin gene of the host plant. DNA of F. solani f. sp. glycines was detected in soybean plants both with and without SDS foliar symptoms to contents as low as 9.0 × 10^-5 ng in the absolute QPCR assays. This is the first report of relative QPCR using the comparative threshold cycle (Ct) method to quantify the DNA of a plant pathogen relative to its host DNA. The relative QPCR assay is reliable if care is taken to avoid reaction inhibition and it may be used to further elucidate the fungus-host interaction in the development of SDS or screen for resistance to the fungus.

Integrated approaches for detection of plant pathogenic bacteria and diagnosis of bacterial diseases

Disease diagnosis is based on a number of factors, including laboratory tests for pathogen identification. Rapid development of genomic techniques for characterization of bacteria over the past decade has greatly simplified and improved pathogen detection and identification, but DNA-based methods have not yet entirely replaced traditional culture and phenotypic tests in the plant industry. The first section of this review focuses on rapid immunodiagnostic and DNA-based detection methods for known bacterial pathogens in plants or plant products, which often manifest no symptoms of disease. The second section covers the broader topic of disease diagnosis and new methods for identifying and characterizing bacteria.