Unknown

Dataset Information

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


ABSTRACT: Ecological understanding of disease risk, emergence, and dynamics and of the efficacy of control strategies relies heavily on efficient tools for microorganism identification and characterization. Misdetection, such as the misclassification of infected hosts as healthy, can strongly bias estimates of disease prevalence and lead to inaccurate conclusions. In natural plant ecosystems, interest in assessing microbial dynamics is increasing exponentially, but guidelines for detection of microorganisms in wild plants remain limited, particularly so for plant viruses. To address this gap, we explored issues and solutions associated with virus detection by serological and molecular methods in noncrop plant species as applied to the globally important Barley yellow dwarf virus PAV (Luteoviridae),

SUBMITTER: Lacroix C 

PROVIDER: S-EPMC4784055 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature