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      Bacteria associated with wood tissues of Esca‐diseased grapevines: functional diversity and synergy with Fomitiporia mediterranea to degrade wood components

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          Summary

          Fungi are considered to cause grapevine trunk diseases such as esca that result in wood degradation. For instance, the basidiomycete Fomitiporia mediterranea ( Fmed) is overabundant in white rot, a key type of wood‐necrosis associated with esca. However, many bacteria colonize the grapevine wood too, including the white rot. In this study, we hypothesized that bacteria colonizing grapevine wood interact, possibly synergistically, with Fmed and enhance the fungal ability to degrade wood. We isolated 237 bacterial strains from esca‐affected grapevine wood. Most of them belonged to the families Xanthomonadaceae and Pseudomonadaceae. Some bacterial strains that degrade grapevine‐wood components such as cellulose and hemicellulose did not inhibit Fmed growth in vitro. We proved that the fungal ability to degrade wood can be strongly influenced by bacteria inhabiting the wood. This was shown with a cellulolytic and xylanolytic strain of the Paenibacillus genus, which displays synergistic interaction with Fmed by enhancing the degradation of wood structures. Genome analysis of this Paenibacillus strain revealed several gene clusters such as those involved in the expression of carbohydrate‐active enzymes, xylose utilization and vitamin metabolism. In addition, certain other genetic characteristics of the strain allow it to thrive as an endophyte in grapevine and influence the wood degradation by Fmed. This suggests that there might exist a synergistic interaction between the fungus Fmed and the bacterial strain mentioned above, enhancing grapevine wood degradation. Further step would be to point out its occurrence in mature grapevines to promote esca disease development.

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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            SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

            The lion's share of bacteria in various environments cannot be cloned in the laboratory and thus cannot be sequenced using existing technologies. A major goal of single-cell genomics is to complement gene-centric metagenomic data with whole-genome assemblies of uncultivated organisms. Assembly of single-cell data is challenging because of highly non-uniform read coverage as well as elevated levels of sequencing errors and chimeric reads. We describe SPAdes, a new assembler for both single-cell and standard (multicell) assembly, and demonstrate that it improves on the recently released E+V-SC assembler (specialized for single-cell data) and on popular assemblers Velvet and SoapDeNovo (for multicell data). SPAdes generates single-cell assemblies, providing information about genomes of uncultivatable bacteria that vastly exceeds what may be obtained via traditional metagenomics studies. SPAdes is available online ( http://bioinf.spbau.ru/spades ). It is distributed as open source software.
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              MUSCLE: multiple sequence alignment with high accuracy and high throughput.

              We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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                Author and article information

                Contributors
                haidarrana@gmail.com
                Journal
                Environ Microbiol
                Environ Microbiol
                10.1111/(ISSN)1462-2920
                EMI
                Environmental Microbiology
                John Wiley & Sons, Inc. (Hoboken, USA )
                1462-2912
                1462-2920
                31 July 2021
                October 2021
                : 23
                : 10 , Special Issue on Multifaceted Plant‐Microbe Interactions ( doiID: 10.1111/emi.v23.10 )
                : 6104-6121
                Affiliations
                [ 1 ] INRAE, UMR SAVE, Bordeaux Science Agro, ISVV University of Bordeaux Villenave d'Ornon 33882 France
                [ 2 ] Biology Department, Faculty of Science Tishreen University Latakia Syria
                [ 3 ] AIT Austrian Institute of Technology GmbH, Bioresources Unit, Center for Health and Bioresources, Konrad Lorenz Straße 24 Tulln 3430 Austria
                [ 4 ] Institut de Chimie et Biologie des Membranes et des Nanoobjets, IECB, CNRS Université de Bordeaux Pessac 33607 France
                [ 5 ] IECB, UMS 3033, US001, CNRS Université de Bordeaux Pessac 33607 France
                [ 6 ] Université de Pau et des Pays de l'Adour/E2S UPPA/CNRS, Institut des Sciences Analytiques et de Physicochimie pour l'Environnement et les Matériaux – UMR 5254, IBEAS Avenue de l'Université Pau 64013 France
                Author notes
                [*] [* ] For correspondence. E‐mail haidarrana@ 123456gmail.com ; Tel. (+33) 05 57 12 26 24.

                Author information
                https://orcid.org/0000-0001-8534-9532
                Article
                EMI15676
                10.1111/1462-2920.15676
                9291561
                34288352
                df12d555-4f8a-47eb-9112-d732dc133a94
                © 2021 The Authors. Environmental Microbiology published by Society for Applied Microbiology and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 20 November 2020
                : 18 July 2021
                Page count
                Figures: 6, Tables: 3, Pages: 18, Words: 13167
                Funding
                Funded by: Austrian Federal Ministry for Sustainability and Tourism
                Funded by: Agence Nationale de la Recherche , doi 10.13039/501100001665;
                Funded by: Bordeaux Wine Council
                Funded by: Hennessy Company
                Categories
                Special Issue Article
                Special Issue Articles
                Custom metadata
                2.0
                October 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.7 mode:remove_FC converted:18.07.2022

                Microbiology & Virology
                Microbiology & Virology

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