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      Microplastics accumulate fungal pathogens in terrestrial ecosystems

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          Abstract

          Microplastic (MP) is a pervasive pollutant in nature that is colonised by diverse groups of microbes, including potentially pathogenic species. Fungi have been largely neglected in this context, despite their affinity for plastics and their impact as pathogens. To unravel the role of MP as a carrier of fungal pathogens in terrestrial ecosystems and the immediate human environment, epiplastic mycobiomes from municipal plastic waste from Kenya were deciphered using ITS metabarcoding as well as a comprehensive meta-analysis, and visualised via scanning electron as well as confocal laser scanning microscopy. Metagenomic and microscopic findings provided complementary evidence that the terrestrial plastisphere is a suitable ecological niche for a variety of fungal organisms, including important animal and plant pathogens, which formed the plastisphere core mycobiome. We show that MPs serve as selective artificial microhabitats that not only attract distinct fungal communities, but also accumulate certain opportunistic human pathogens, such as cryptococcal and Phoma-like species. Therefore, MP must be regarded a persistent reservoir and potential vector for fungal pathogens in soil environments. Given the increasing amount of plastic waste in terrestrial ecosystems worldwide, this interrelation may have severe consequences for the trans-kingdom and multi-organismal epidemiology of fungal infections on a global scale.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Fiji: an open-source platform for biological-image analysis.

            Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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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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                Author and article information

                Contributors
                horn@ifmb.uni-hannover.de
                gerhard.rambold@uni-bayreuth.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                15 July 2021
                15 July 2021
                2021
                : 11
                : 13214
                Affiliations
                [1 ]GRID grid.7384.8, ISNI 0000 0004 0467 6972, Department of Mycology, , University of Bayreuth, ; Universitätsstraße 30, 95447 Bayreuth, Germany
                [2 ]GRID grid.9122.8, ISNI 0000 0001 2163 2777, Institute of Microbiology, , Leibniz University Hannover, ; 30419 Hannover, Germany
                [3 ]GRID grid.7384.8, ISNI 0000 0004 0467 6972, Experimental Biogeochemistry, BayCEER, , University of Bayreuth, ; 95448 Bayreuth, Germany
                [4 ]GRID grid.5252.0, ISNI 0000 0004 1936 973X, Genetics, Faculty of Biology, , Ludwig Maximilian University Munich, ; 82152 Martinsried, Germany
                Article
                92405
                10.1038/s41598-021-92405-7
                8282651
                34267241
                1d220233-1755-429c-966a-b41ddf03e256
                © The Author(s) 2021

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 March 2021
                : 3 June 2021
                Funding
                Funded by: Deutsche Forschungsgemeinschaft SFB 1357
                Funded by: Universität Bayreuth (3145)
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                infection,microbial ecology,microbiome,fungal ecology
                Uncategorized
                infection, microbial ecology, microbiome, fungal ecology

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