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      Seasonality of parasitic and saprotrophic zoosporic fungi: linking sequence data to ecological traits

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          Abstract

          Zoosporic fungi of the phylum Chytridiomycota (chytrids) regularly dominate pelagic fungal communities in freshwater and marine environments. Their lifestyles range from obligate parasites to saprophytes. Yet, linking the scarce available sequence data to specific ecological traits or their host ranges constitutes currently a major challenge. We combined 28 S rRNA gene amplicon sequencing with targeted isolation and sequencing approaches, along with cross-infection assays and analysis of chytrid infection prevalence to obtain new insights into chytrid diversity, ecology, and seasonal dynamics in a temperate lake. Parasitic phytoplankton-chytrid and saprotrophic pollen-chytrid interactions made up the majority of zoosporic fungal reads. We explicitly demonstrate the recurrent dominance of parasitic chytrids during frequent diatom blooms and saprotrophic chytrids during pollen rains. Distinct temporal dynamics of diatom-specific parasitic clades suggest mechanisms of coexistence based on niche differentiation and competitive strategies. The molecular and ecological information on chytrids generated in this study will aid further exploration of their spatial and temporal distribution patterns worldwide. To fully exploit the power of environmental sequencing for studies on chytrid ecology and evolution, we emphasize the need to intensify current isolation efforts of chytrids and integrate taxonomic and autecological data into long-term studies and experiments.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

            Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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              The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

              SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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                Author and article information

                Contributors
                silke.vandenwyngaert@utu.fi
                kagami-maiko-bd@ynu.ac.jp
                hgrossart@igb-berlin.de
                Journal
                ISME J
                ISME J
                The ISME Journal
                Nature Publishing Group UK (London )
                1751-7362
                1751-7370
                28 June 2022
                28 June 2022
                September 2022
                : 16
                : 9
                : 2242-2254
                Affiliations
                [1 ]GRID grid.419247.d, ISNI 0000 0001 2108 8097, Department of Plankton and Microbial Ecology, , Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), ; Zur alten Fischerhütte 2, 16775 Stechlin, Germany
                [2 ]GRID grid.23731.34, ISNI 0000 0000 9195 2461, GFZ German Research Centre for Geosciences, , Section Geomicrobiology, Telegrafenberg, ; 14473 Potsdam, Germany
                [3 ]GRID grid.268446.a, ISNI 0000 0001 2185 8709, Faculty of Environment and Information Sciences, , Yokohama National University, ; Tokiwadai 79-7, Hodogayaku, Yokohama, Kanagawa 240-8501 Japan
                [4 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Ecology and Evolutionary Biology, , University of Michigan, ; Ann Arbor, 48109 MI USA
                [5 ]GRID grid.412889.e, ISNI 0000 0004 1937 0706, Escuela de Biología, , Universidad de Costa Rica, ; 11501 San José, Costa Rica
                [6 ]GRID grid.419247.d, ISNI 0000 0001 2108 8097, Department of Ecosystem Research, , Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), ; Müggelseedamm 301, 12587 Berlin, Germany
                [7 ]GRID grid.7336.1, ISNI 0000 0001 0203 5854, Research Group of Limnology, Centre of Natural Sciences, , University of Pannonia, ; Egyetem u. 10, 8200 Veszprém, Hungary
                [8 ]GRID grid.6936.a, ISNI 0000000123222966, Chair of Urban Water Systems Engineering, , Technical University of Munich, ; Am Coulombwall 3, 85748 Garching, Germany
                [9 ]GRID grid.11348.3f, ISNI 0000 0001 0942 1117, Institute of Biochemistry and Biology, , Potsdam University, Maulbeerallee 2, ; 14469 Potsdam, Germany
                [10 ]GRID grid.1374.1, ISNI 0000 0001 2097 1371, Present Address: Department of Biology, , University of Turku, ; Vesilinnantie 5, 20014 Turku, Finland
                [11 ]GRID grid.10919.30, ISNI 0000000122595234, Present Address: Marbio, UiT- The Arctic University of Norway, ; Sykehusveien 23, 9019 Tromsø, Norway
                Author information
                http://orcid.org/0000-0001-9163-4858
                http://orcid.org/0000-0001-9595-1041
                http://orcid.org/0000-0003-4261-0010
                http://orcid.org/0000-0002-6109-4624
                http://orcid.org/0000-0002-8835-545X
                http://orcid.org/0000-0001-8285-2896
                http://orcid.org/0000-0003-3086-390X
                http://orcid.org/0000-0002-9141-0325
                Article
                1267
                10.1038/s41396-022-01267-y
                9381765
                35764676
                080b6285-6c91-402e-8256-9d3dcf7265c4
                © The Author(s) 2022

                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
                : 20 December 2021
                : 28 May 2022
                : 7 June 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: WY175/1-1
                Award ID: AG 284/1-1
                Award ID: WU 890/2-1
                Award ID: GR1540/30-1
                Award Recipient :
                Funded by: JSPS KAKENHI: Grant Reference numbers 15KK0026, 16H02943, 19H05667
                Funded by: Leibniz SAW project “MycoLink” (SAW-2014-IGB)
                Categories
                Article
                Custom metadata
                © International Society for Microbial Ecology 2022

                Microbiology & Virology
                fungal ecology,limnology
                Microbiology & Virology
                fungal ecology, limnology

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