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      Small-RNA analysis of pre-basic mother plants and conserved accessions of plant genetic resources for the presence of viruses

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          Abstract

          Pathogen-free stocks of vegetatively propagated plants are crucial in certified plant production. They require regular monitoring of the plant germplasm for pathogens, especially of the stocks maintained in the field. Here we tested pre-basic mother plants of Fragaria, Rubus and Ribes spp., and conserved accessions of the plant genetic resources of Rubus spp. maintained at research stations in Finland, for the presence of viruses using small interfering RNA (siRNA) -based diagnostics (VirusDetect). The advance of the method is that unrelated viruses can be detected simultaneously without resumptions of the viruses present. While no virus was detected in pre-basic mother plants of Fragaria and Ribes species, rubus yellow net virus (RYNV) was detected in pre-basic mother plants of Rubus. Raspberry bushy dwarf virus (RBDV), black raspberry necrosis virus (BRNV), raspberry vein chlorosis virus (RVCV) and RYNV were detected in the Rubus genetic resource collection. The L polymerase encoding sequence characterized from seven RVCV isolates showed considerable genetic variation. The data provide the first molecular biological evidence for the presence of RYNV in Finland. RYNV was not revealed in virus indexing by indicator plants, which suggests that it may be endogenously present in some raspberry cultivars. In addition, a putative new RYNV-like badnavirus was detected in Rubus spp. Blackcurrant reversion virus (BRV) and gooseberry vein banding associated virus (GVBaV) were detected in symptomatic Ribes plants grown in the field. Results were consistent with those obtained using PCR or reverse transcription PCR and suggest that the current virus indexing methods of pre-basic mother plants work as expected. Furthermore, many new viruses were identified in the collections of plant genetic resources not previously tested for viruses. In the future, siRNA-based diagnostics could be a useful supplement for the currently used virus detection methods in certified plant production and thus rationalize and simplify the current testing system.

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          Most cited references41

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          Complete viral genome sequence and discovery of novel viruses by deep sequencing of small RNAs: a generic method for diagnosis, discovery and sequencing of viruses.

          We report the first identification of novel viruses, and sequence of an entire viral genome, by a single step of high-throughput parallel sequencing of small RNAs from diseased, as well as symptomless plants. Contigs were assembled from sequenced total siRNA from plants using small sequence assembly software and could positively identify RNA, ssDNA and dsDNA reverse transcribing viruses and in one case spanned the entire genome. The results present a novel approach which cannot only identify known viral pathogens, occurring at extremely low titers, but also novel viruses, without the necessity of any prior knowledge.
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            VirusDetect: An automated pipeline for efficient virus discovery using deep sequencing of small RNAs.

            Accurate detection of viruses in plants and animals is critical for agriculture production and human health. Deep sequencing and assembly of virus-derived small interfering RNAs has proven to be a highly efficient approach for virus discovery. Here we present VirusDetect, a bioinformatics pipeline that can efficiently analyze large-scale small RNA (sRNA) datasets for both known and novel virus identification. VirusDetect performs both reference-guided assemblies through aligning sRNA sequences to a curated virus reference database and de novo assemblies of sRNA sequences with automated parameter optimization and the option of host sRNA subtraction. The assembled contigs are compared to a curated and classified reference virus database for known and novel virus identification, and evaluated for their sRNA size profiles to identify novel viruses. Extensive evaluations using plant and insect sRNA datasets suggest that VirusDetect is highly sensitive and efficient in identifying known and novel viruses. VirusDetect is freely available at http://bioinfo.bti.cornell.edu/tool/VirusDetect/.
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              Endogenous viruses: Connecting recent and ancient viral evolution.

              The rapid rates of viral evolution allow us to reconstruct the recent history of viruses in great detail. This feature, however, also results in rapid erosion of evolutionary signal within viral molecular data, impeding studies of their deep history. Thus, the further back in time, the less accurate the inference becomes. Furthermore, reconstructing complex histories of transmission can be challenging, especially where extinct viral lineages are concerned. This problem has been partially solved by the discovery of viruses embedded in host genomes, known as endogenous viral elements (EVEs). Some of these endogenous viruses are derived from ancient relatives of extant viruses, allowing us to better examine ancient viral host range, geographical distribution and transmission routes. Moreover, our knowledge of viral evolutionary timescales and rate dynamics has also been greatly improved by their discovery, thereby bridging the gap between recent and ancient viral evolution.
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                Author and article information

                Contributors
                Role: Data curationRole: MethodologyRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Methodology
                Role: Methodology
                Role: Methodology
                Role: Data curationRole: Writing – review & editing
                Role: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                7 August 2019
                2019
                : 14
                : 8
                : e0220621
                Affiliations
                [1 ] University of Helsinki, Department of Agricultural Sciences, Helsinki, Finland
                [2 ] Natural Resources Institute Finland (Luke), Jokioinen, Finland
                [3 ] Natural Resources Institute Finland (Luke), Jyväskylä, Finland
                Oklahoma State University, UNITED STATES
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-7952-0433
                Article
                PONE-D-19-10821
                10.1371/journal.pone.0220621
                6685626
                31390343
                d97d5deb-cf06-42f9-b580-8397b425fc18
                © 2019 Rajamäki et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 April 2019
                : 12 June 2019
                Page count
                Figures: 4, Tables: 5, Pages: 21
                Funding
                This study was supported by Ministry of Agriculture and Forestry, Finland (grants 1872/312/2012 and 2221/03.01.02/2015 to JPTV); https://mmm.fi/en/about-the-site. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and life sciences
                Genetics
                Gene expression
                Gene regulation
                Small interfering RNAs
                Biology and life sciences
                Biochemistry
                Nucleic acids
                RNA
                Non-coding RNA
                Small interfering RNAs
                Research and Analysis Methods
                Computational Techniques
                Split-Decomposition Method
                Multiple Alignment Calculation
                Research and Analysis Methods
                Database and Informatics Methods
                Bioinformatics
                Sequence Analysis
                Sequence Alignment
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Sequencing Techniques
                Nucleotide Sequencing
                Research and Analysis Methods
                Molecular Biology Techniques
                Sequencing Techniques
                Nucleotide Sequencing
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Research and Analysis Methods
                Molecular Biology Techniques
                Artificial Gene Amplification and Extension
                Polymerase Chain Reaction
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Gene Pool
                Biology and Life Sciences
                Genetics
                Population Genetics
                Gene Pool
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Gene Pool
                Biology and Life Sciences
                Genetics
                Plant Genetics
                Biology and Life Sciences
                Plant Science
                Plant Genetics
                Biology and life sciences
                Organisms
                Viruses
                RNA viruses
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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                Uncategorized

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