Literature DB >> 13680391

Innovative tools for detection of plant pathogenic viruses and bacteria.

María M López1, Edson Bertolini, Antonio Olmos, Paola Caruso, María Teresa Gorris, Pablo Llop, Ramón Penyalver, Mariano Cambra.   

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 high numbers 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 micro-array 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 development of sensitive and specific detection techniques for these microorganisms.

Mesh:

Year:  2003        PMID: 13680391     DOI: 10.1007/s10123-003-0143-y

Source DB:  PubMed          Journal:  Int Microbiol        ISSN: 1139-6709            Impact factor:   2.479


  43 in total

1.  Methodological Guidelines for Accurate Detection of Viruses in Wild Plant Species.

Authors:  Christelle Lacroix; Kurra Renner; Ellen Cole; Eric W Seabloom; Elizabeth T Borer; Carolyn M Malmstrom
Journal:  Appl Environ Microbiol       Date:  2016-01-15       Impact factor: 4.792

2.  Development of an efficient real-time quantitative PCR protocol for detection of Xanthomonas arboricola pv. pruni in Prunus species.

Authors:  Ana Palacio-Bielsa; Jaime Cubero; Miguel A Cambra; Raquel Collados; Isabel M Berruete; María M López
Journal:  Appl Environ Microbiol       Date:  2010-10-29       Impact factor: 4.792

3.  System to assess genome sequencing needs for viral protein diagnostics and therapeutics.

Authors:  Shea N Gardner; Thomas A Kuczmarski; Carol E Zhou; Marisa W Lam; Tom R Slezak
Journal:  J Clin Microbiol       Date:  2005-04       Impact factor: 5.948

4.  Broad-spectrum respiratory tract pathogen identification using resequencing DNA microarrays.

Authors:  Baochuan Lin; Zheng Wang; Gary J Vora; Jennifer A Thornton; Joel M Schnur; Dzung C Thach; Kate M Blaney; Adam G Ligler; Anthony P Malanoski; Jose Santiago; Elizabeth A Walter; Brian K Agan; David Metzgar; Donald Seto; Luke T Daum; Russell Kruzelock; Robb K Rowley; Eric H Hanson; Clark Tibbetts; David A Stenger
Journal:  Genome Res       Date:  2006-02-15       Impact factor: 9.043

5.  Identification of Xanthomonas fragariae, Xanthomonas axonopodis pv. phaseoli, and Xanthomonas fuscans subsp. fuscans with novel markers and using a dot blot platform coupled with automatic data analysis.

Authors:  Pedro Albuquerque; Cristina M R Caridade; Andre R S Marcal; Joana Cruz; Leonor Cruz; Catarina L Santos; Marta V Mendes; Fernando Tavares
Journal:  Appl Environ Microbiol       Date:  2011-06-24       Impact factor: 4.792

6.  Simultaneous Detection of Brown Rot- and Soft Rot-Causing Bacterial Pathogens from Potato Tubers Through Multiplex PCR.

Authors:  R K Ranjan; Dinesh Singh; V K Baranwal
Journal:  Curr Microbiol       Date:  2016-08-01       Impact factor: 2.188

7.  Use of resequencing oligonucleotide microarrays for identification of Streptococcus pyogenes and associated antibiotic resistance determinants.

Authors:  Louis Davignon; Elizabeth A Walter; Kate M Mueller; Christopher P Barrozo; David A Stenger; Baochuan Lin
Journal:  J Clin Microbiol       Date:  2005-11       Impact factor: 5.948

8.  Identification of Thiobacillus bacteria in agricultural soil in Iran using the 16S rRNA gene.

Authors:  Ali Beheshti Ale Agha; Danial Kahrizi; Asma Ahmadvand; Hoda Bashiri; Rosa Fakhri
Journal:  Mol Biol Rep       Date:  2018-11-15       Impact factor: 2.316

Review 9.  Nanotechnological interventions for plant health improvement and sustainable agriculture.

Authors:  Madhu Kamle; Dipendra Kumar Mahato; Sheetal Devi; Ramendra Soni; Vijay Tripathi; Awdhesh Kumar Mishra; Pradeep Kumar
Journal:  3 Biotech       Date:  2020-03-14       Impact factor: 2.406

10.  Evaluation of potential reference genes for use in gene expression studies in the conifer pathogen (Heterobasidion annosum).

Authors:  Tommaso Raffaello; Fred O Asiegbu
Journal:  Mol Biol Rep       Date:  2013-05-05       Impact factor: 2.316

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