Innovative tools for detection of plant pathogenic viruses and bacteria
Int. microbiol
; 6(4): 233-243, dic. 2003. tab, graf
Article
em En
| IBECS
| ID: ibc-98742
Biblioteca responsável:
ES1.1
Localização: BNCS
ABSTRACT
Detection of harmful viruses and bacteria in plant material, vectors or natural reservoirs is essential to ensure safe and sustainable agriculture. The techniques available have evolved significantly in the last few years to achieve rapid and reliable detection of pathogens, extraction of the target from the sample being important for optimising detection. For viruses, sample preparation has been simplified by imprinting or squashing plant material or insect vectors onto membranes. To improve the sensitivity of techniques for bacterial detection, a prior enrichment step in liquid or solid medium is advised. Serological and molecular techniques are currently the most appropriate when highnumbers of samples need to be analysed. Specific monoclonal and/or recombinant antibodies are available for many plant pathogens and have contributed to the specificity of serological detection. Molecular detection can be optimised through the automatic purification of nucleic acids from pathogens by columns or robotics. New variants of PCR, such as simple or multiplex nested PCR in a single closed tube, co-operative-PCR and real-time monitoring of amplicons or quantitative PCR, allow high sensitivity in the detection of one or several pathogens in a single assay. The latest development in the analysis of nucleic acids is microarray technology, but it requires generic DNA/RNA extraction and pre-amplification methods to increase detection sensitivity. The advances in research that will result from the sequencing of many plant pathogen genomes, especially now in the era of proteomics, represent a new source of information for the future evelopment of sensitive and specific detection techniques for these microorganisms (AU)
RESUMEN
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Coleções:
06-national
/
ES
Temas:
Sociedade e saude
/
Ciencias tecnologia e inovacao em saude
Base de dados:
IBECS
Tipo de estudo:
Diagnostic_studies
Idioma:
En
Ano de publicação:
2003
Tipo de documento:
Article