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      DNA metabarcoding uncovers fungal diversity in soils of protected and non-protected areas on Deception Island, Antarctica

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          Abstract

          We assessed soil fungal diversity at two sites on Deception Island, South Shetland Islands, Antarctica using DNA metabarcoding analysis. The first site was a relatively undisturbed area, and the second was much more heavily impacted by research and tourism. We detected 346 fungal amplicon sequence variants dominated by the phyla Ascomycota, Basidiomycota, Mortierellomycota and Chytridiomycota. We also detected taxa belonging to the rare phyla Mucoromycota and Rozellomycota, which have been difficult to detect in Antarctica by traditional isolation methods. Cladosporium sp., Pseudogymnoascus roseus, Leotiomycetes sp. 2, Penicillium sp., Mortierella sp. 1, Mortierella sp. 2, Pseudogymnoascus appendiculatus and Pseudogymnoascus sp. were the most dominant fungi. In addition, 440,153 of the total of 1,214,875 reads detected could be classified only at the level of Fungi. In both sampling areas the DNA of opportunistic, phytopathogenic and symbiotic fungi were detected, which might have been introduced by human activities, transported by birds or wind, and/or represent resident fungi not previously reported from Antarctica. Further long-term studies are required to elucidate how biological colonization in the island may be affected by climatic changes and/or other anthropogenic influences.

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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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            Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

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              AMPLIFICATION AND DIRECT SEQUENCING OF FUNGAL RIBOSOMAL RNA GENES FOR PHYLOGENETICS

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                Author and article information

                Contributors
                lhrosa@icb.ufmg.br
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                15 December 2020
                15 December 2020
                2020
                : 10
                : 21986
                Affiliations
                [1 ]GRID grid.8430.f, ISNI 0000 0001 2181 4888, Laboratório de Microbiologia Polar & Conexões Tropicais, Departamento de Microbiologia, Instituto de Ciências Biológicas, , Universidade Federal de Minas Gerais, ; P. O. Box 486, Belo Horizonte, MG CEP 31270-901 Brazil
                [2 ]GRID grid.7632.0, ISNI 0000 0001 2238 5157, Departamento de Biologia Celular, , Universidade de Brasília, ; Brasília, Brazil
                [3 ]GRID grid.425948.6, ISNI 0000 0001 2159 802X, Naturalis Biodiversity Center, ; Leiden, The Netherlands
                [4 ]GRID grid.478592.5, ISNI 0000 0004 0598 3800, British Antarctic Survey, NERC, ; High Cross, Madingley Road, Cambridge, CB3 0ET UK
                [5 ]GRID grid.7632.0, ISNI 0000 0001 2238 5157, Departamento de Botânica, , Universidade de Brasília, ; Brasília, Brazil
                Article
                78934
                10.1038/s41598-020-78934-7
                7738542
                33319803
                0800f25e-db9a-419e-9bb4-85b3a2ee1cbc
                © The Author(s) 2020

                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
                : 18 June 2020
                : 29 October 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003593, Conselho Nacional de Desenvolvimento Científico e Tecnológico;
                Funded by: FundRef http://dx.doi.org/10.13039/501100000305, National Eye Research Centre;
                Categories
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                © The Author(s) 2020

                Uncategorized
                environmental sciences,environmental impact,environmental microbiology,soil microbiology

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