Robust detection and identification of multiple oomycetes and fungi in environmental samples by using a novel cleavable padlock probe-based ligation detection assay

Simultaneous and sensitive detection of dual DNA targets via quantum dot-assembled amplification labels

We describe a signal amplification assay for the simultaneous detection of HIV-1 and HIV-2 via a quantum dot (QD) layer-by-layer assembled polystyrene microsphere (PS) composite in a homogeneous format. The crucial point of this composite is the core-shell system. PS is utilized as the core and QDs as the shell. Based on the high affinity of streptavidin and biotin, QDs are assembled layer-by-layer on the surface of the PS as amplification labels. Biotinylated reporter probe is combined with the PS-QDs conjugate and then hybridized with target DNA immobilized on the surface of a 96-well plate. Using this approach, each target DNA corresponds to a large number of QDs and the fluorescence signal is greatly enhanced. Two QD colors (605 and 655 nm) are used to detect dual-target DNAs simultaneously. Taking advantage of the enzyme-free reaction and high sensitivity, this PS-QD-based sensor can be used in simple 'mix and detection' assays. Our results show that this technology has potential application in rapid point-of-care testing, gene expression studies, high-throughput screening and clinical diagnostics.

Molecular inversion probe: a new tool for highly specific detection of plant pathogens

Highly specific detection methods, capable of reliably identifying plant pathogens are crucial in plant disease management strategies to reduce losses in agriculture by preventing the spread of diseases. We describe a novel molecular inversion probe (MIP) assay that can be potentially developed into a robust multiplex platform to detect and identify plant pathogens. A MIP has been designed for the plant pathogenic fungus Fusarium oxysporum f.sp. conglutinans and the proof of concept for the efficiency of this technology is provided. We demonstrate that this methodology can detect as little as 2.5 ng of pathogen DNA and is highly specific, being able to accurately differentiate Fusarium oxysporum f.sp. conglutinans from other fungal pathogens such as Botrytis cinerea and even pathogens of the same species such as Fusarium oxysporum f.sp. lycopersici. The MIP assay was able to detect the presence of the pathogen in infected Arabidopsis thaliana plants as soon as the tissues contained minimal amounts of pathogen. MIP methods are intrinsically highly multiplexable and future development of specific MIPs could lead to the establishment of a diagnostic method that could potentially screen infected plants for hundreds of pathogens in a single assay.

Simultaneous Detection of Xanthomonas oryzae pv. oryzae and X. oryzae pv. oryzicola in Rice Seed Using a Padlock Probe-Based Assay

Based on 16S-23S internal transcribed spacer ribosomal DNA sequence data, two padlock probes (PLPs), P-Xoo and P-Xoc, were designed and tested to detect Xanthomonas oryzae pv. oryzae and X. oryzae pv. oryzicola, respectively. These PLPs were combined with dot-blot hybridization to detect X. oryzae pv. oryzae and X. oryzae pv. oryzicola individually in rice seed. Using this technique, a detection sensitivity of 1 pg of X. oryzae pv. oryzae genomic DNA was observed. The technique also facilitated the detection of X. oryzae pv. oryzae in rice seedlots with 2% artificially infested seed. With regards to X. oryzae pv. oryzicola a detection threshold of 1 pg genomic DNA was observed and the pathogen was successful detected in rice seedlots with 0.2% artificially infested seed. The PLP assays detected X. oryzae pv. oryzae and X. oryzae pv. oryzicola in 39.3% (13 of 33) and 21.3% (10 of 47) of naturally infested commercial rice seedlots, respectively. In contrast, conventional polymerase chain reaction using OSF1/OSR1 and XoocF/XoocR primers sets detected X. oryzae pv. oryzae and X. oryzae pv. oryzicola in 9.1% (3 of 33) and 8.5% (4 of 47) of the same rice seedlots, respectively. We also detected both pathogens simultaneously in two seedlots, which successfully proved that PLPs (P-Xoo and P-Xoc) combined with reverse dotblot hybridization can be used to simultaneously detect multiple pathogens in naturally infested commercial rice seedlots. This approach has the potential to be an important tool for detecting multiple pathogens in seed and thereby preventing the spread of important pathogens.

Reliable and Sensitive Detection of Acidovorax citrulli in Cucurbit Seed Using a Padlock-Probe-Based Assay

A method was developed using a padlock probe (PLP) and dot-blot hybridization for detecting Acidovorax citrulli in cucurbit seed. The PLP was designed based on the 16S-23S internal transcribed spacer ribosomal DNA sequence from A. citrulli. The detection threshold for the PLP assay was 100 fg of genomic DNA, and A. citrulli was detected in 100% of artificially infested seedlots with 0.1% infestation or greater. In addition, using the PLP assay, 4 of 8 melon seedlots collected from Xinjang province and 15 of 47 watermelon seedlots collected from Ningxia province were positive for A. citrulli. In contrast, a conventional polymerase chain reaction (PCR) assay that relied on primers WFB1 and WFB2 facilitated A. citrulli detection in 1 of 8 and 5 of 47 seedlots from Xinjiang and Ningxia provinces, respectively. These data indicate that the PLP and dot-blot hybridization technique was more effective than conventional PCR for seed health testing.

A universal microarray detection method for identification of multiple Phytophthora spp. using padlock probes

The genus Phytophthora consists of many species that cause important diseases in ornamental, agronomic, and forest ecosystems worldwide. Molecular methods have been developed for detection and identification of one or several species of Phytophthora in single or multiplex reactions. In this article, we describe a padlock probe (PLP)-based multiplex method of detection and identification for many Phytophthora spp. simultaneously. A generic TaqMan polymerase chain reaction assay, which detects all known Phytophthora spp., is conducted first, followed by a species-specific PLP ligation. A 96-well-based microarray platform with colorimetric readout is used to detect and identify the different Phytophthora spp. PLPs are long oligonucleotides containing target complementary sequence regions at both their 5' and 3' ends which can be ligated on the target into a circular molecule. The ligation is point mutation specific; therefore, closely related sequences can be differentiated. This circular molecule can then be detected on a microarray. We developed 23 PLPs to economically important Phytophthora spp. based upon internal transcribed spacer-1 sequence differences between individual Phytophthora spp. Tests on genomic DNA of many Phytophthora isolates and DNA from environmental samples showed the specificity and utility of PLPs for Phytophthora diagnostics.

Molecular techniques for pathogen identification and fungus detection in the environment

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

MPIC: a high-throughput analytical method for multiple DNA targets

We describe the development of a novel combined approach for high-throughput analysis of multiple DNA targets based on multiplex Microdroplet PCR Implemented Capillary gel electrophoresis (MPIC), a two-step PCR amplification strategy. In the first step, the multiple target DNAs are preamplified using bipartite primers attached with universal tail sequences on their 5'-ends. Then, the preamplified templates are compartmentalized individually in the microdroplet of the PCR system, and multiple targets can be amplified in parallel, employing primers targeting their universal sequences. Subsequently, the resulting multiple products are analyzed by capillary gel electrophoresis (CGE). Using genetically modified organism (GMO) analysis as a model, 24 DNA targets can be simultaneously detected with a relative limit of detection of 0.1% (w/w) and absolute limit of detection of 39 target DNA copies. The described system provides a promising alternative for high-throughput analysis of multiple DNA targets.

Rapid identification and detection of pine pathogenic fungi associated with mountain pine beetles by padlock probes

Fifteen million hectares of pine forests in western Canada have been attacked by the mountain pine beetle (Dendroctonus ponderosae; MPB), leading to devastating economic losses. Grosmannia clavigera and Leptographium longiclavatum, are two fungi intimately associated with the beetles, and are crucial components of the epidemic. To detect and discriminate these two closely related pathogens, we utilized a method based on ligase-mediated nucleotide discrimination with padlock probe technology, and signal amplification by hyperbranched rolling circle amplification (HRCA). Two padlock probes were designed to target species-specific single nucleotide polymorphisms (SNPs) located at the inter-generic spacer 2 region and large subunit of the rRNA respectively, which allows discrimination between the two species. Thirty-four strains of G. clavigera and twenty-five strains of L. longiclavatum representing a broad geographic origin were tested with this assay. The HRCA results were largely in agreement with the conventional identification based on morphology or DNA-based methods. Both probes can also efficiently distinguish the two MPB-associated fungi from other fungi in the MPB, as well as other related fungi in the order Ophiostomatales. We also tested this diagnostic method for the direct detection of these fungi from the DNA of MPB. A nested PCR approach was used to enrich amplicons for signal detection. The results confirmed the presence of these two fungi in MPB. Thus, the padlock probe assay coupled with HRCA is a rapid, sensitive and reproducible method for the identification and detection of these ophiostomatoid fungi.

Emerging molecular assays for detection and characterization of respiratory viruses

This article describes several emerging molecular assays that have potential applications in the diagnosis and monitoring of respiratory viral infections. These techniques include direct nucleic acid detection by quantum dots, loop-mediated isothermal amplification, multiplex ligation-dependent probe amplification, amplification using arbitrary primers, target-enriched multiplexing amplification, pyrosequencing, padlock probes, solid and suspension microarrays, and mass spectrometry. Several of these systems already are commercially available to provide multiplex amplification and high-throughput detection and identification of a panel of respiratory viral pathogens. Further validation and implementation of such emerging molecular assays in routine clinical virology services will enhance the rapid diagnosis of respiratory viral infections and improve patient care.

Accurate quantification of microorganisms in PCR-inhibiting environmental DNA extracts by a novel internal amplification control approach using Biotrove OpenArrays

PCR-based detection assays are prone to inhibition by substances present in environmental samples, thereby potentially leading to inaccurate target quantification or false-negative results. Internal amplification controls (IACs) have been developed to help alleviate this problem but are generally applied in a single concentration, thereby yielding less-than-optimal results across the wide range of microbial gene target concentrations possible in environmental samples (J. Hoorfar, B. Malorny, A. Abdulmawjood, N. Cook, M. Wagner, and P. Fach, J. Clin. Microbiol. 42:1863-1868, 2004). Increasing the number of IACs for each quantitative PCR (qPCR) sample individually, however, typically reduces sensitivity and, more importantly, the reliability of quantification. Fortunately, current advances in high-throughput qPCR platforms offer the possibility of multiple reactions for a single sample simultaneously, thereby allowing the implementation of more than one IAC concentration per sample. Here, we describe the development of a novel IAC approach that is specifically designed for the state-of-the-art Biotrove OpenArray platform. Different IAC targets were applied at a range of concentrations, yielding a calibration IAC curve for each individual DNA sample. The developed IACs were optimized, tested, and validated by using more than 5,000 unique qPCR amplifications, allowing accurate quantification of microorganisms when applied to soil DNA extracts containing various levels of PCR-inhibiting compounds. To our knowledge, this is the first study using a suite of IACs at different target concentrations to monitor PCR inhibition across a wide target range, thereby allowing reliable and accurate quantification of microorganisms in PCR-inhibiting DNA extracts. The developed IAC is ideally suited for high-throughput screenings of, for example, ecological and agricultural samples on next-generation qPCR platforms.