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      Ecogenomic survey of plant viruses infecting Tobacco by Next generation sequencing

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          Abstract

          Background

          The invasion of plant by viruses cause major damage to plants and reduces crop yield and integrity. Devastating plant virus infection has been experienced at different times all over the world, which are attributed to different events of mutation, re-assortment and recombination occurring in the viruses. Strategies for proper virus management has been mostly limited to eradicating the vectors that spreads the plant viruses. However, development of prompt and effective diagnostic methods are required to monitor emerging and re-emerging diseases that may be symptomatic or asymptomatic in the plant as well as the genetic variation and evolution in the plant viruses. A survey of plant viruses infecting field-grown Tobacco crop was conducted in Anhui Province of China by the deep sequencing of sRNAs.

          Methods

          Survey of plant viruses infecting Tobacco was carried based on 104 samples collected across the province. Nine different sRNA libraries was prepared and custom-made bioinformatics pipeline coupled with molecular techniques was developed to sequence, assemble and analyze the siRNAs for plant virus discovery. We also carried out phylogenetic and recombination analysis of the identified viruses.

          Results

          Twenty two isolates from eight different virus species including Cucumber mosaic virus, Potato virus Y, Tobacco mosaic virus, Tobacco vein banding Mosaic virus, Pepper mottle virus, Brassica yellow virus, Chilli venial mottle virus, Broad bean wilt virus 2 were identified in tobacco across the survey area. The near-complete genome sequence of the 22 new isolates were determined and analyzed. The isolates were grouped together with known strains in the phylogenetic tree. Molecular variation in the isolates indicated the conserved coding regions have majorly a nucleotide sequence identity of 80-94 % with previously identified isolates. Various events of recombination were discovered among some of the isolates indicating that two or more viruses or different isolates of one virus infect the same host cell.

          Conclusion

          This study describes the discovery of a consortium of plant viruses infecting Tobacco that are broadly distributed in Anhui province of China. It also demonstrates the effectiveness of NGS in identifying plant viruses without a prior knowledge of the virus and the genetic diversity that enhanced mixed infection.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12985-016-0639-7) contains supplementary material, which is available to authorized users.

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          Most cited references41

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          Analyzing the mosaic structure of genes.

          Some genes in prokaryotes consist of a mosaic of regions derived from different ancestors by horizontal gene transfer. A method is described for demonstrating the statistical significance of such mosaic structure and for locating the crossover points separating different regions.
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            An exact nonparametric method for inferring mosaic structure in sequence triplets.

            Statistical tests for detecting mosaic structure or recombination among nucleotide sequences usually rely on identifying a pattern or a signal that would be unlikely to appear under clonal reproduction. Dozens of such tests have been described, but many are hampered by long running times, confounding of selection and recombination, and/or inability to isolate the mosaic-producing event. We introduce a test that is exact, nonparametric, rapidly computable, free of the infinite-sites assumption, able to distinguish between recombination and variation in mutation/fixation rates, and able to identify the breakpoints and sequences involved in the mosaic-producing event. Our test considers three sequences at a time: two parent sequences that may have recombined, with one or two breakpoints, to form the third sequence (the child sequence). Excess similarity of the child sequence to a candidate recombinant of the parents is a sign of recombination; we take the maximum value of this excess similarity as our test statistic Delta(m,n,b). We present a method for rapidly calculating the distribution of Delta(m,n,b) and demonstrate that it has comparable power to and a much improved running time over previous methods, especially in detecting recombination in large data sets.
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              Identification of breakpoints in intergenotypic recombinants of HIV type 1 by bootscanning.

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                Author and article information

                Contributors
                +86-551-63607631 , wuqf@ustc.edu.cn
                Journal
                Virol J
                Virol. J
                Virology Journal
                BioMed Central (London )
                1743-422X
                4 November 2016
                4 November 2016
                2016
                : 13
                : 181
                Affiliations
                [1 ]School of Life Sciences, University of Science and Technology of China, Hefei, Anhui 230027 China
                [2 ]Tobacco Research Institute, Anhui Academy of Agricultural Sciences, Hefei, Anhui 230031 China
                Article
                639
                10.1186/s12985-016-0639-7
                5096307
                27814723
                75c77706-a38b-4d38-944d-7f8365c33e8f
                © The Author(s). 2016

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 4 August 2016
                : 18 October 2016
                Funding
                Funded by: FundRef , Chinese National Natural Science Foundation;
                Award ID: 31272011
                Award Recipient :
                Funded by: FundRef , Key Program of Anhui Province Tobacco Monopoly Administration;
                Award ID: 20150551007
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003995, Natural Science Foundation of Anhui Province;
                Award ID: 1608085QC59
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2016

                Microbiology & Virology
                srna,bioinformatics,assembly,next generation sequencing,plant virus
                Microbiology & Virology
                srna, bioinformatics, assembly, next generation sequencing, plant virus

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