Deep sequencing for discovery and evolutionary analysis of plant viruses

被引:66
作者
Roossinck, Marilyn J. [1 ]
机构
[1] Penn State Univ, Ctr Infect Dis Dynam, Dept Plant Pathol & Environm Microbiol, University Pk, PA 16802 USA
关键词
Bioinformatics; Double-stranded RNA; Metagenomics; siRNA; virus-like particles; METAGENOMIC ANALYSIS; MOLECULAR CHARACTERIZATION; GENETIC DIVERSITY; GENOME SEQUENCE; DNA VIRUSES; RNA; POPULATIONS; ENVIRONMENT; TECHNOLOGY; CAUSATION;
D O I
10.1016/j.virusres.2016.11.019
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The advent of next generation sequencing (NGS), or deep sequencing, has allowed great advances to be made in discovery, diagnostics, and evolutionary studies in plant viruses. Various methods have been used for enrichment for virus-specific nucleic acids, each of which have some drawbacks. Many novel viruses have been discovered in plants by NGS technologies, and there is a good deal of promise for more comprehensive studies in virus evolution. However, each aspect of using NGS has its caveats that need to be considered, and there is still a need for better tools of analysis, as well as method for validation of sequence variation. (C) 2016 Published by Elsevier B.V.
引用
收藏
页码:82 / 86
页数:5
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