Advances, limitations, and prospects of biosensing technology for detecting phytopathogenic bacteria

Phytopathogenic bacteria cause severe economic losses in agricultural production worldwide. The spread rates, severity, and emerging plant bacterial diseases have become serious threat to the sustainability of food sources and the fruit industry. Detection and diagnosis of plant diseases are imperative in order to manage plant diseases in field conditions, greenhouses, and food storage conditions as well as to maximize agricultural productivity and sustainability. To date, various techniques including, serological, observation-based, and molecular methods have been employed for plant disease detection. These methods are sensitive and specific for genetic identification of bacteria. However, these methods are specific for genetic identification of bacteria. Currently, the innovative biosensor-based disease detection technique is an attractive and promising alternative. A biosensor system involves biological recognition and transducer active receptors based on sensors used in plant-bacteria diagnosis. This system has been broadly used for the rapid diagnosis of plant bacterial pathogens. In the present review, we have discussed the conventional methods of bacterial-disease detection, however, the present review mainly focuses on the applications of different biosensor-based techniques along with point-of-care (POC), robotics, and cell phone-based systems. In addition, we have also discussed the challenges and limitations of these techniques.

DNA barcode, multiplex PCR and qPCR assay for diagnosis of pathogens infecting pulse crops to facilitate safe exchange and healthy conservation of germplasm

The DNA barcodes were developed from ITS region for the identification of fungal plant pathogens namely, Alternaria alternata and A. tenuissima both causing leaf spots, Ascochyta rabiei causing Ascochyta blight, Fusarium oxysporum f. sp. ciceris causing wilt, Macrophomina phaseolina causing dry root rot, Rhizoctonia solani causing web blight and wet root rot, Sclerotium (Athelia) rolfsii causing collar rot, Sclerotinia sclerotiorum causing stem rot and Cercospora canescens and Pseudocercospora cruenta both causing leaf spots in pulse crops. Barcode compliance for A. alternata (DBTPQ001-18), A. tenuissima (DBTPQ002-18), A. rabiei (DBTPQ003-18), F. oxysporum f. sp. ciceris (DBTPQ004-18), M. phaseolina (DBTPQ005-18), R. solani (DBTPQ006-18), S. rolfsii (DBTPQ007-18), S. sclerotiorum (DBTPQ008-18), C. canescens (DBTPQ009-18) and P. cruenta (DBTPQ029-20) have been generated based on the Barcode of Life Data System (BOLD) system. In addition to ITS, other genomic regions were also explored and on the basis of sequence variation they were ranked as TEF-α > SSU > LSU > β-tubulin. These genes could be considered for secondary barcode and phylogenetic relatedness. ITS-based markers for the detection of A. alternata (BAA2aF and BAA2aR) and R. solani (BRS17cF and BRS17cR) were developed which provided 400 bp and 220 bp amplicons, respectively. While, for F. oxysporum f. sp. ciceris, COX1-based marker (FOCox1F and FOCox3R) was developed which amplified 150 bp. The markers proved highly specific and sensitive with detection limit of 0.0001 ng of template DNA using qPCR and simultaneously detected these three pathogens. The DNA barcodes and diagnostics developed are suitable for quick and reliable detection of these pathogens during quarantine processing and field diagnostics.

Screening for plant viruses by next generation sequencing using a modified double strand RNA extraction protocol with an internal amplification control

The majority of plant viruses contain RNA genomes. Detection of viral RNA genomes in infected plant material by next generation sequencing (NGS) is possible through the extraction and sequencing of total RNA, total RNA devoid of ribosomal RNA, small RNA interference (RNAi) molecules, or double stranded RNA (dsRNA). Plants do not typically produce high molecular weight dsRNA, therefore the presence of dsRNA makes it an attractive target for plant virus diagnostics. The sensitivity of NGS as a diagnostic method demands an effective dsRNA protocol that is both representative of the sample and minimizes sample cross contamination. We have developed a modified dsRNA extraction protocol that is more efficient compared to traditional protocols, requiring reduced amounts of starting material, that is less prone to sample cross contamination. This was accomplished by using bead based homogenization of plant material in closed, disposable 50ml tubes. To assess the quality of extraction, we also developed an internal control by designing a real-time (quantitative) PCR (qPCR) assay that targets endornaviruses present in Phaseolus vulgaris cultivar Black Turtle Soup (BTS).

Seed-borne Brachycladium penicillatum Intercepted under Plant Quarantine Inspection in Korea

A fungus detected from the importing seeds of Papaver rhoeas under plant quarantine inspection in Korea was identified as Brachycladium penicillatum Corda. It differed in morphological characteristics from a similar species, B. papaveris, which was known to form no macroconidiophores and no microsclerotia. Since the first interception in 2006, this fungus has frequently been found from importing seeds of Papaver spp. It was detected from 31 out of 282 seed consignments imported from 2006 to 2011. To prevent its introduction to Korea, the seed consignments infested by B. penicillatum were destroyed or reshipped.

Identification of three fungi newly intercepted from importing plants in Korea

Three fungi newly intercepted from importing plants were identified in 2004. They were Ascochyta chrysanthemi on Lactuca sativa from China, A. spinaciicola on Spinacia oleracea from Denmark, and Leptosphaerulina australis on Brassica oleracea var. capitata from China. The characters of these fungi were described and illustrated.