ITALIANO HIGH ACCESSIBILITY
Torna alla Home Page Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria Search in the site...  

European Charter for Researchers      HR EXCELLENCE IN RESEARCH
CREA - Via Po, 14 - 00198 ROMA
P.IVA: 08183101008 - C.F.: 97231970589
Tel: +39 06 478361 - Fax: +39 06 47836320 -
Posta Elettronica Certificata:

CIVIC ACCESS PRESS REVIEW URP JOB OPPORTUNITIES CONTRACTS TRANSPARENT ADMINISTRATION

freccina You are here: Home->Publications->Datasheet


Publication datasheet
Title:
DNA microarray-based detection and identification of plant viruses and other pathogens
Authors:
Barba, M.; Hadidi, A.
Year:
2011
Languages:
ENG, eng
Journal:
Current Topics in Plant Biology
Kind of publication:
Cartaceo
Location:
Editor:
Research Trends
Abstract in Italian:
Abstract in English:
Viruses, viroids, phytoplasmas, bacteria, fungi and nematodes are the causal agents of plant diseases that cause significant losses of economically important horticultural, vegetable, field, and ornamental crops. To reduce the economic losses caused by these pathogens different reliable and accurate methods for their detection and identification have been developed. None of these current standard methods detect simultaneously multiple pathogens. DNA microarray technology was developed in 1995 as a powerful tool for simultaneously displaying the expression of thousands of genes. During the last decade this technology has been utilized for the detection of plant viruses and other pathogens because of its parallel nature, which made it ideal for detection of a single pathogen as well as for simultaneous analysis of many pathogens. In this review the utilization of DNA microarrays for the detection and identification of the above plant pathogens with emphasis on viruses is presented. The scientific history and principle of microarrays, the types of microarrays, and the steps needed for the design and implementation of a DNA microarrays experiment are discussed. In addition, the current applications of microarray for plant pathogen detection and identification and their advantages and disadvantages are also discussed.

AREA RISERVATA  Webmaster:
Logo mySQL Logo PHP