02137naa a2200301 a 450000100080000000500110000800800410001902400400006010000210010024501480012126000090026950001430027852011520042165000110157365300080158465300080159265300170160065300160161765300170163365300080165065300110165870000260166970000180169570000180171370000150173170000300174677300590177610557292019-10-09       2016    bl uuuu     u00u1 u    #d7 a10.1016/j.jviromet.2016.08.0112DOI1 aARRUABARRENA, A.  aApplication of a simple and affordable protocol for isolating plant total nucleic acids for RNA and DNA virus detection.h[electronic resource]  c2016  aArticle history: Received 30 May 2016 / Received in revised form 26 July 2016 / Accepted 14 August 2016 / Available online 16 August 2016.  aABSTRACT.   Standard molecular methods for plant virus diagnosis require the purification of RNA or DNA extracts from a large number of samples, with sufficient concentration and quality for their use in PCR, RT-PCR, or qPCR analysis. Most methods are laborious and use either hazardous and/or costly chemicals.Apreviously published protocol for RNA isolation from several plant species yields high amounts of good quality RNADNA mixture in a simple, safe and inexpensive manner. In the present work, this method was tested to obtain RNA-DNA extracts from leaves of tomato, potato and three species of citrus, and was compared with two commercial kits. The results demonstrated that this protocol offers at least comparable nucleic acid quality, quantity and purity to those provided by commercial phenol-based or spin column systems and that are suitable to be used in PCR, RT-PCR and qPCR for virus and viroid detection. Because of its easy implementation and the use of safe and inexpensive reagents, it can be easily implemented to work in plant virus and viroid detection in different plant species.  © 2016 Elsevier B.V. All rights reserved  aCITRUS  aDNA  aPCR  aPLANT VIROID  aPLANT VIRUS  aPURIFICATION  aRNA  aRT-PCR1 aBENITEZ-GALEANO, M.J.1 aGIAMBIASI, M.1 aBERTALMIO, A.1 aCOLINA, R.1 aHERNÁNDEZ-RODRÍGUEZ, L.  tJournal of Virological Methods, 2016gv.237, p. 14-17.