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      Nanopore-based detection and characterization of yam viruses

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          Abstract

          We here assessed the capability of the MinION sequencing approach to detect and characterize viruses infecting a water yam plant. This sequencing platform consistently revealed the presence of several plant virus species, including Dioscorea bacilliform virus, Yam mild mosaic virus and Yam chlorotic necrosis virus. A potentially novel ampelovirus was also detected by a complimentary Illumina sequencing approach. The full-length genome sequence of yam chlorotic necrosis virus was determined using Sanger sequencing, which enabled determination of the coverage and sequencing accuracy of the MinION technology. Whereas the total mean sequencing error rate of yam chlorotic necrosis virus-related MinION reads was 11.25%, we show that the consensus sequence obtained either by de novo assembly or after mapping the MinION reads on the virus genomic sequence was >99.8% identical with the Sanger-derived reference sequence. From the perspective of potential plant disease diagnostic applications of MinION sequencing, these degrees of sequencing accuracy demonstrate that the MinION approach can be used to both reliably detect and accurately sequence nearly full-length positive-sense single-strand polyadenylated RNA plant virus genomes.

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          Nanopore sensors for nucleic acid analysis.

          Nanopore analysis is an emerging technique that involves using a voltage to drive molecules through a nanoscale pore in a membrane between two electrolytes, and monitoring how the ionic current through the nanopore changes as single molecules pass through it. This approach allows charged polymers (including single-stranded DNA, double-stranded DNA and RNA) to be analysed with subnanometre resolution and without the need for labels or amplification. Recent advances suggest that nanopore-based sensors could be competitive with other third-generation DNA sequencing technologies, and may be able to rapidly and reliably sequence the human genome for under $1,000. In this article we review the use of nanopore technology in DNA sequencing, genetics and medical diagnostics.
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            Estimating maximum likelihood phylogenies with PhyML.

            Our understanding of the origins, the functions and/or the structures of biological sequences strongly depends on our ability to decipher the mechanisms of molecular evolution. These complex processes can be described through the comparison of homologous sequences in a phylogenetic framework. Moreover, phylogenetic inference provides sound statistical tools to exhibit the main features of molecular evolution from the analysis of actual sequences. This chapter focuses on phylogenetic tree estimation under the maximum likelihood (ML) principle. Phylogenies inferred under this probabilistic criterion are usually reliable and important biological hypotheses can be tested through the comparison of different models. Estimating ML phylogenies is computationally demanding, and careful examination of the results is warranted. This chapter focuses on PhyML, a software that implements recent ML phylogenetic methods and algorithms. We illustrate the strengths and pitfalls of this program through the analysis of a real data set. PhyML v3.0 is available from (http://atgc_montpellier.fr/phyml/).
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              Gut inflammation can boost horizontal gene transfer between pathogenic and commensal Enterobacteriaceae.

              The mammalian gut harbors a dense microbial community interacting in multiple ways, including horizontal gene transfer (HGT). Pangenome analyses established particularly high levels of genetic flux between Gram-negative Enterobacteriaceae. However, the mechanisms fostering intraenterobacterial HGT are incompletely understood. Using a mouse colitis model, we found that Salmonella-inflicted enteropathy elicits parallel blooms of the pathogen and of resident commensal Escherichia coli. These blooms boosted conjugative HGT of the colicin-plasmid p2 from Salmonella enterica serovar Typhimurium to E. coli. Transconjugation efficiencies of ~100% in vivo were attributable to high intrinsic p2-transfer rates. Plasmid-encoded fitness benefits contributed little. Under normal conditions, HGT was blocked by the commensal microbiota inhibiting contact-dependent conjugation between Enterobacteriaceae. Our data show that pathogen-driven inflammatory responses in the gut can generate transient enterobacterial blooms in which conjugative transfer occurs at unprecedented rates. These blooms may favor reassortment of plasmid-encoded genes between pathogens and commensals fostering the spread of fitness-, virulence-, and antibiotic-resistance determinants.
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                Author and article information

                Contributors
                Philippe.roumagnac@cirad.fr
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                14 December 2018
                14 December 2018
                2018
                : 8
                : 17879
                Affiliations
                [1 ]GRID grid.465538.9, CIRAD, BGPI, ; Montpellier, France
                [2 ]ISNI 0000 0001 2097 0141, GRID grid.121334.6, BGPI, INRA, CIRAD, SupAgro, Univ Montpellier, ; Montpellier, France
                [3 ]ISNI 0000 0001 2153 9871, GRID grid.8183.2, CIRAD, UMR ASTRE, ; F-34398 Montpellier, France
                [4 ]ISNI 0000 0001 2097 0141, GRID grid.121334.6, ASTRE, Univ Montpellier, CIRAD, INRA, ; Montpellier, France
                [5 ]UMR 1332 BFP, INRA, University Bordeaux, CS20032, 33882 Villenave d’Ornon cedex, France
                [6 ]ISNI 0000 0000 9247 8466, GRID grid.420081.f, DSMZ Plant Virus Department, ; Messeweg 11/12, 38102 Braunschweig, Germany
                [7 ]ISNI 0000 0001 2169 875X, GRID grid.418373.a, ICAR-Central Tuber Crops Research Institute, ; Thiruvananthapuram, Kerala India
                [8 ]ISNI 0000 0004 1937 1151, GRID grid.7836.a, Computational Biology Group, Department of Integrative Biomedical Sciences, Institute of Infectious Diseases and Molecular Medicine, , University of Cape Town, ; Observatory, Cape Town 7925 South Africa
                Article
                36042
                10.1038/s41598-018-36042-7
                6294787
                30552347
                788bfece-f01e-4755-8635-3d38863d3c77
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 June 2018
                : 4 October 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/100007599, Agropolis Fondation;
                Award ID: FP 2015-02
                Award Recipient :
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