title: Next-generation sequencing of elite berry germplasm and data analysis using a bioinformatics pipeline for virus detection and discovery.
abstract: Berry crops (members of the genera Fragaria, Ribes, Rubus, Sambucus, and Vaccinium) are known hosts for more than 70 viruses and new ones are identified continually. In modern berry cultivars, viruses tend to be asymptomatic in single infections and symptoms only develop after plants accumulate multiple viruses. Most certification programs are based on visual observations. Infected, asymptomatic material may be propagated in the nursery system and shipped to farms where plants acquire additional viruses and develop symptoms. This practice may result in disease epidemics with great impact to producers and the natural ecosystem alike. In this chapter we present work that allows for the detection of known and discovery of new viruses in elite germplasm, having the potential to greatly reduce virus dispersal associated with movement of propagation material.
authors.affiliation: Division of Agriculture, Department of Plant Pathology, University of Arkansas System, Plant Sciences Building 213, 495 N. Campus Drive, Fayetteville, AR, 72701, USA.
authors.forename: Thien
authors.initials: T
authors.lastname: Ho
authors.forename: Robert R
authors.initials: RR
authors.lastname: Martin
authors.forename: Ioannis E
authors.initials: IE
authors.lastname: Tzanetakis
mesh_terms: D019295:Computational Biology / Q000379:methods*; D004279:DNA, Viral / Q000032:analysis* / Q000235:genetics; D005638:Fruit / Q000821:virology*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D010942:Plant Viruses / Q000235:genetics / Q000302:isolation & purification*; D013223:Statistics as Topic / Q000379:methods*
chemical_list: D004279:DNA, Viral