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Title: Methodological Guidelines for Accurate Detection of Viruses in Wild Plant Species

Journal Article · · Applied and Environmental Microbiology
DOI:https://doi.org/10.1128/AEM.03538-15· OSTI ID:1470727
ORCiD logo [1];  [2];  [3];  [2];  [2];  [4]
  1. Univ. of Minnesota, Saint Paul, MN (United States). Dept of Ecology, Evolution, and Behavior; Planat Pathology, Montfavet, France (Europe)
  2. Univ. of Minnesota, Saint Paul, MN (United States). Dept of Ecology, Evolution, and Behavior
  3. Loyola Marymount Univ., Los Angeles, CA (United States)
  4. Michigan State Univ., East Lansing, MI (United States)

Here 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), which infects wild native plants as well as crops. With enzyme-linked immunosorbent assays (ELISA), we demonstrate how virus detection in a perennial wild plant species may be much greater in stems than in leaves, although leaves are most commonly sampled, and may also vary among tillers within an individual, thereby highlighting the importance of designing effective sampling strategies. With reverse transcription-PCR (RT-PCR), we demonstrate how inhibitors in tissues of perennial wild hosts can suppress virus detection but can be overcome with methods and products that improve isolation and amplification of nucleic acids. These examples demonstrate the paramount importance of testing and validating survey designs and virus detection methods for noncrop plant communities to ensure accurate ecological surveys and reliable assumptions about virus dynamics in wild hosts.

Research Organization:
Univ. of Wisconsin, Madison, WI (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
FC02-07ER64494
OSTI ID:
1470727
Journal Information:
Applied and Environmental Microbiology, Vol. 82, Issue 6; ISSN 0099-2240
Publisher:
American Society for MicrobiologyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 21 works
Citation information provided by
Web of Science

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Cited By (2)

New Ca. Liberibacter psyllaurous haplotype resurrected from a 49-year-old specimen of Solanum umbelliferum: a native host of the psyllid vector journal July 2019
Crop-associated virus infection in a native perennial grass: reduction in plant fitness and dynamic patterns of virus detection journal January 2017

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