Oligonucleotide microarray with a minimal number of probes for the detection and identification of thirteen genera of plant viruses.
ABSTRACT 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.
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ABSTRACT: Rapid and accurate identification of species is required for the biological control of pest Noctuoidea moths. DNA barcodes and thin-film biosensor chips are two molecular approaches that have gained wide attention. Here, we compare these two methods for the identification of a limited number of Noctuoidea moth species. Based on the commonly used mitochondrial gene cytochrome c oxidase I (the standard DNA barcode for animal species), 14 probes were designed and synthesized for 14 species shared by two national nature reserves in Beijing and Hebei, China. Probes ranged in length from 18 to 27 bp and were designed as mismatch probes to guarantee that there were at least three base differences between the probe and nontarget sequences. The results on the chip could be detected by the naked eye without needing special equipment. No cross-hybridizations were detected although we tested all probes on the 14 target and 24 nontarget Noctuoidea species. The neighbour-joining tree of the 38 species based on COI sequences gave 38 highly supported independent groups. Both DNA barcoding and thin-film biosensor chips, based on the COI gene, are able to accurately identify and discriminate the 14 targeted moth species in this study. Because of its speed, high accuracy and low cost, the thin-film biosensor chip is a very practical means of species identification. Now, a more comprehensive chip will be developed for the identification of additional Noctuoidea moths for pest control and ecological protection.Molecular Ecology Resources 08/2013; DOI:10.1111/1755-0998.12165 · 5.63 Impact Factor
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ABSTRACT: Grapevine leafroll-associated viruses (GLRaVs) are an emerging group of viruses that represent a significant threat to the global productivity and sustainability of the grapevine industry. Their control is achieved through the identification and elimination of infected vines, and the use of planting material derived from virus-tested, certified stocks. As such, much effort has been invested in developing reliable molecular diagnostic techniques. In this work, we report the development of a macroarray assay for the detection of the principal GLRaVs. In total 314 70-mer oligonucleotides specific to GLRaV-1, -2, -3, -4, -7, and GLRaV-4 strains 5, 6, 9 and Pr were spotted onto a 11×7cm nylon membrane. Thirty-four grapevine samples from various origins were tested by the macroarray, RT-PCR and ELISA. Thirty were positive for virus infection using RT-PCR, 28 by ELISA and 25 by the macroarray. Mixed infections were identified by macroarray in two samples and confirmed by RT-PCR or ELISA. There were a few discrepancies between methods that were most likely due to differences in the sensitivity of detection, and in the case of the macroarray, limitations in the sequence data available for certain virus species in the design of the oligonucleotides. This work demonstrates the successful application of macroarray methodology using randomly primed and sequence-nonspecific amplified cDNAs derived from grapevine total RNA extracts, and provides a proof-of-principal for unbiased multiplex detection using a single robust platform.Journal of virological methods 05/2012; 183(2):161-9. DOI:10.1016/j.jviromet.2012.04.008 · 1.88 Impact Factor
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ABSTRACT: The new sequencing technologies are already making a big impact in academic research on medically important microbes and may soon revolutionize diagnostics, epidemiology, and infection control. Plant pathology also stands to gain from exploiting these opportunities. This manuscript reviews some applications of these high-throughput sequencing methods that are relevant to phytopathology, with emphasis on the associated computational and bioinformatics challenges and their solutions. Second-generation sequencing technologies have recently been exploited in genomics of both prokaryotic and eukaryotic plant pathogens. They are also proving to be useful in diagnostics, especially with respect to viruses.Annual Review of Phytopathology 08/2010; 49:87-105. DOI:10.1146/annurev-phyto-072910-095408 · 11.00 Impact Factor