Whole genome deep sequencing revealed host impact on population structure, variation and evolution of Rice stripe virus

Virology. 2018 Nov:524:32-44. doi: 10.1016/j.virol.2018.08.005. Epub 2018 Aug 22.

Abstract

High-throughput deep sequencing and variant detection showed that variations of Rice stripe virus (RSV) populations obtained from small brown planthopper-transmitted rice plants and sap-inoculated N. benthamiana plants were single nucleotide polymorphisms (SNPs) and insertion-deletions (InDels). The SNPs were more uniform across RSV genome, but InDels occurred mainly in the intergenic regions (IRs) and in the 5' or 3' noncoding regions. There were no clear patterns of InDels, although the inserted sequences were all from virus itself. Six, one, and one non-synonymous substitutions were respectively observed in the RdRP ORF, IR and the movement protein ORF. These non-synonymous substitutions were found to be stable, resulting in new consensus sequences in the NBL11 RSV population. Furthermore, the numbers of SNPs and InDels in RSV genome from N. benthamiana plants were much higher than that from O. sativa plants. These differences are likely caused by selection pressures generated by different host plants.

Keywords: Genetic variation; High-throughput deep sequencing; N. benthamiana; O. sativa; Population structure; Rice stripe virus.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • DNA, Intergenic / genetics
  • Female
  • Genome, Viral / genetics*
  • Hemiptera / virology*
  • High-Throughput Nucleotide Sequencing
  • INDEL Mutation
  • Nicotiana / virology
  • Oryza / virology*
  • Plant Diseases / virology*
  • Polymorphism, Single Nucleotide / genetics*
  • Sequence Analysis, RNA
  • Tenuivirus / genetics*
  • Tenuivirus / isolation & purification

Substances

  • DNA, Intergenic