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      Rye Snow Mold-Associated Microdochium nivale Strains Inhabiting a Common Area: Variability in Genetics, Morphotype, Extracellular Enzymatic Activities, and Virulence

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          Abstract

          Snow mold is a severe plant disease caused by psychrophilic or psychrotolerant fungi, of which Microdochium species are the most harmful. A clear understanding of Microdochium biology has many gaps; the pathocomplex and its dynamic are poorly characterized, virulence factors are unknown, genome sequences are not available, and the criteria of plant snow mold resistance are not elucidated. Our study aimed to identify comprehensive characteristics of a local community of snow mold-causing Microdochium species colonizing a particular crop culture. By using the next-generation sequencing (NGS) technique, we characterized fungal and bacterial communities of pink snow mold-affected winter rye ( Secale cereale) plants within a given geographical location shortly after snowmelt. Twenty-one strains of M. nivale were isolated, classified on the basis of internal transcribed spacer 2 (ITS2) region, and characterized by morphology, synthesis of extracellular enzymes, and virulence. Several types of extracellular enzymatic activities, the level of which had no correlations with the degree of virulence, were revealed for Microdochium species for the first time. Our study shows that genetically and phenotypically diverse M. nivale strains simultaneously colonize winter rye plants within a common area, and each strain is likely to utilize its own, unique strategy to cause the disease using “a personal” pattern of extracellular enzymes.

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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            A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding

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              DADA2: High resolution sample inference from Illumina amplicon data

              We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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                Author and article information

                Journal
                J Fungi (Basel)
                J Fungi (Basel)
                jof
                Journal of Fungi
                MDPI
                2309-608X
                03 December 2020
                December 2020
                : 6
                : 4
                : 335
                Affiliations
                [1 ]Laboratory of Plant Infectious Diseases, FRC Kazan Scientific Center of RAS, ul. Lobachevskogo, 2/31, 420111 Kazan, Russia; eva-0@ 123456mail.ru (E.O.); smponomarev@ 123456yandex.ru (M.P.); S.Ponomarev2020@ 123456yandex.ru (S.P.); negogoleva@ 123456gmail.com (N.G.); poe60@ 123456mail.ru (O.P.); gogolewaoa@ 123456yandex.ru (O.G.); strosaz125@ 123456gmail.com (A.M.); balkinas@ 123456yandex.ru (A.B.); potapov_ko@ 123456mail.ru (K.P.); gogolev.yuri@ 123456gmail.com (Y.G.); viktor.korzun@ 123456kws.com (V.K.)
                [2 ]Institute of Biochemistry and Physiology of Plants and Microorganisms, Russian Academy of Sciences (IBPPM RAS), 13 Prospekt Entuziastov, 410049 Saratov, Russia; elenavetrus@ 123456yandex.ru
                [3 ]KWS SAAT SE & Co. KGaA, Grimsehlstr. 31, 37555 Einbeck, Germany
                Author notes
                Author information
                https://orcid.org/0000-0002-2391-2980
                https://orcid.org/0000-0003-0760-8249
                Article
                jof-06-00335
                10.3390/jof6040335
                7761817
                33287447
                940f52f1-72fc-4968-b9cb-082ac7619ad3
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 13 November 2020
                : 30 November 2020
                Categories
                Article

                plant–microbe interactions,microdochium nivale,snow mold,plant cell-wall-degrading enzymes,virulence

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