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      Fungal community analysis by high-throughput sequencing of amplified markers – a user's guide

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          Abstract

          • Novel high-throughput sequencing methods outperform earlier approaches in terms of resolution and magnitude. They enable identification and relative quantification of community members and offer new insights into fungal community ecology. These methods are currently taking over as the primary tool to assess fungal communities of plant-associated endophytes, pathogens, and mycorrhizal symbionts, as well as free-living saprotrophs.

          • Taking advantage of the collective experience of six research groups, we here review the different stages involved in fungal community analysis, from field sampling via laboratory procedures to bioinformatics and data interpretation. We discuss potential pitfalls, alternatives, and solutions.

          • Highlighted topics are challenges involved in: obtaining representative DNA/RNA samples and replicates that encompass the targeted variation in community composition, selection of marker regions and primers, options for amplification and multiplexing, handling of sequencing errors, and taxonomic identification.

          • Without awareness of methodological biases, limitations of markers, and bioinformatics challenges, large-scale sequencing projects risk yielding artificial results and misleading conclusions.

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          AMPLIFICATION AND DIRECT SEQUENCING OF FUNGAL RIBOSOMAL RNA GENES FOR PHYLOGENETICS

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            Fast UniFrac: Facilitating high-throughput phylogenetic analyses of microbial communities including analysis of pyrosequencing and PhyloChip data

            Next-generation sequencing techniques, and PhyloChip, have made simultaneous phylogenetic analyses of hundreds of microbial communities possible. Insight into community structure has been limited by the inability to integrate and visualize such vast datasets. Fast UniFrac overcomes these issues, allowing integration of larger numbers of sequences and samples into a single analysis. Its new array-based implementation offers orders of magnitude improvements over the original version. New 3D visualization of principal coordinates analysis (PCoA) results, with the option to view multiple coordinate axes simultaneously, provides a powerful way to quickly identify patterns that relate vast numbers of microbial communities. We demonstrate the potential of Fast UniFrac using examples from three data types: Sanger-sequencing studies of diverse free-living and animal-associated bacterial assemblages and from the gut of obese humans as they diet, pyrosequencing data integrated from studies of the human hand and gut, and PhyloChip data from a study of citrus pathogens. We show that a Fast UniFrac analysis using a reference tree recaptures patterns that could not be detected without considering phylogenetic relationships and that Fast UniFrac, coupled with BLAST-based sequence assignment, can be used to quickly analyze pyrosequencing runs containing hundreds of thousands of sequences, revealing patterns relating human and gut samples. Finally, we show that the application of Fast UniFrac to PhyloChip data could identify well-defined subcategories associated with infection. Together, these case studies point the way towards a broad range of applications and demonstrate some of the new features of Fast UniFrac.
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              ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases

              Background During the last 15 years the internal transcribed spacer (ITS) of nuclear DNA has been used as a target for analyzing fungal diversity in environmental samples, and has recently been selected as the standard marker for fungal DNA barcoding. In this study we explored the potential amplification biases that various commonly utilized ITS primers might introduce during amplification of different parts of the ITS region in samples containing mixed templates ('environmental barcoding'). We performed in silico PCR analyses with commonly used primer combinations using various ITS datasets obtained from public databases as templates. Results Some of the ITS primers, such as ITS1-F, were hampered with a high proportion of mismatches relative to the target sequences, and most of them appeared to introduce taxonomic biases during PCR. Some primers, e.g. ITS1-F, ITS1 and ITS5, were biased towards amplification of basidiomycetes, whereas others, e.g. ITS2, ITS3 and ITS4, were biased towards ascomycetes. The assumed basidiomycete-specific primer ITS4-B only amplified a minor proportion of basidiomycete ITS sequences, even under relaxed PCR conditions. Due to systematic length differences in the ITS2 region as well as the entire ITS, we found that ascomycetes will more easily amplify than basidiomycetes using these regions as targets. This bias can be avoided by using primers amplifying ITS1 only, but this would imply preferential amplification of 'non-dikarya' fungi. Conclusions We conclude that ITS primers have to be selected carefully, especially when used for high-throughput sequencing of environmental samples. We suggest that different primer combinations or different parts of the ITS region should be analyzed in parallel, or that alternative ITS primers should be searched for.
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                Author and article information

                Journal
                New Phytol
                New Phytol
                nph
                The New Phytologist
                Blackwell Publishing Ltd
                0028-646X
                1469-8137
                July 2013
                28 March 2013
                : 199
                : 1
                : 288-299
                Affiliations
                [1 ]Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences Box 7026, SE-750 07, Uppsala, Sweden
                [2 ]Department of Biological and Environmental Sciences, University of Gothenburg Box 461, SE-405 30, Gothenburg, Sweden
                [3 ]Institute of Ecology and Earth Sciences/Natural History Museum, University of Tartu 46 Vanemuise St., 51014, Tartu, Estonia
                [4 ]Department of Biology, University of Oslo PO Box 1066, Blindern, N-0316, Oslo, Norway
                [5 ]Department of Biology, University of Copenhagen Øster Farimagsgade 2D, 1353, Copenhagen, Denmark
                [6 ]The Finnish Forest Research Institute PL 18, FI-01301, Vantaa, Finland
                Author notes
                Author for correspondence: Björn D. Lindahl Tel: +46 18 672725 Email: Bjorn.Lindahl@ 123456slu.se
                Article
                10.1111/nph.12243
                3712477
                23534863
                22c04712-7a39-4ef4-b371-ace1eae7b720
                Copyright © 2013 New Phytologist Trust

                Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                History
                : 03 January 2013
                : 18 February 2013
                Categories
                Research

                Plant science & Botany
                454-pyrosequencing,bioinformatics,barcoding,environmental sequencing,internal transcribed spacer (its) region,pcr

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