Development and validation of PCR assays for detection of alfalfa dwarf disease-associated viruses in Australian lucerne pastures View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-03

AUTHORS

S. Samarfard, N. E. Bejerman, M. Sharman, V. Trucco, F. Giolitti, R. G. Dietzgen

ABSTRACT

In 2010, a severe disease of lucerne (Medicago sativa L.) named alfalfa dwarf disease (ADD) was reported in Argentina. High throughput sequencing of diseased plants indicated the presence of five viruses, the (−) ssRNA virus, alfalfa dwarf virus (ADV), the (+) RNA viruses, alfalfa mosaic virus (AMV), bean leafroll virus (BLRV) and alfalfa enamovirus 1 (AEV-1) and the ssDNA virus, alfalfa leaf curl virus (ALCV). In this study, we determined which ADD-associated viruses are present in Australian lucerne that showed diverse virus-like symptoms. A duplex RT-PCR was developed for simultaneous detection of ADV and AMV using a cloned non-infectious ADV RNA fragment as positive control. Similarly, the presence of BLRV and AEV-1 was determined by duplex RT-PCR, and ALCV by PCR. Only AMV and BLRV that are endemic to Australia were detected. None of the novel exotic viruses ADV, AEV-1 and ALCV were detected in lucerne samples collected between 2015 and 2017. However, AMV and BLRV were detected in 78% and 70% of tested samples, respectively. Based on analysis of coat protein (CP) nucleotide sequences, Australian BLRV isolates are closely related to each other and to the Argentine Manfredi isolate. Phylogenetic analyses based on CP gene nucleotide sequences confirmed separation of AMV isolates into two subgroups. The majority of AMV isolates, including all those from Argentina and Australia, clustered in subgroup I with isolates from various hosts and geographic origins. All Australian AMV isolates were closely related to AMV isolated from ADD-affected lucerne in Argentina. More... »

PAGES

215-225

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13313-017-0533-9

DOI

http://dx.doi.org/10.1007/s13313-017-0533-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099700278


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