High throughput RNA sequencing discovers symptomatic and latent viruses: an example from ornamental Hibiscus
Shuyu ZhouiD, Katja R. Richert‐PöggeleriD, Zhiwei WangiD, Trude SchwarzacheriD, John Seymour Heslop-HarrisoniD, Qing LiuiD
Abstract
Hibiscus rosa-sinensis L. (Hibiscus, Malvaceae) is an ornamental species grown widely in amenity plantings. We collected leaves on an urban roadside pavement (sidewalk) near a market in Guangzhou which showed multiple symptoms of leaf rolling, deformation and chlorosis. Initial evaluation by electron microscopy using negative staining of drip preparations revealed the presence of tobamovirus-like particles. Total RNA was extracted, and, unusually, without any RNA selection based on sequence, was used for cDNA library construction and high-throughput survey sequencing. From the 814 Mb of clean sequence data (from 2,712,161 paired reads of 150 bp) reads representing chloroplast, ribosomal, and mitochondrial genes were filtered out, eliminating 79.1% of reads. 1,135,848 x 150 bp of the sequence was retained and screened for viral sequences. Assembly of these sequences detected nine virus species from seven virus genera comprising three tobamoviruses, namely, Tobacco mosaic virus, Tobacco mild green mosaic virus and Hibiscus latent Singapore virus, Turnip mosaic virus (Potyvirus), Potato virus M (Carlavirus), Hibiscus chlorotic ringspot virus (Betacarmovirus), Fabavirus sp (Fabavirus), Cotton leaf curl Multan virus (Begomovirus) and a putative mitoviruses replicating in mitochondria, Chenopodium quinoa mitovirus 1. Mapping the reads to complete virus reference sequences showed high and uniform coverage of the genomes from 3,729 x coverage for Turnip mosaic virus to 22 x for Cotton leaf curl Multan virus. By comparison, nuclear reference genes actin showed 14 x coverage and polyubiquitin 27 x. Notable variants from reference sequences (SNPs) were identified. With the low cost of sequencing and potential for semi-automated bioinformatic pipelines, the whole-RNA approach has huge potential for identifying multiple undiagnosed viruses in ornamental plants, resulting in the ability to take preventive measures in production facilities against spread and to product quality for the mutual benefit of producers and consumers.
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