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      Primer pairs, PCR conditions, and peptide nucleic acid clamps affect fungal diversity assessment from plant root tissues

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          ABSTRACT

          High-throughput sequencing has become a prominent tool to assess plant-associated microbial diversity. Still, some technical challenges remain in characterising these communities, notably due to plant and fungal DNA co-amplification. Fungal-specific primers, Peptide Nucleic Acid (PNA) clamps, or adjusting PCR conditions are approaches to limit plant DNA contamination. However, a systematic comparison of these factors and their interactions, which could limit plant DNA contamination in the study of plant mycobiota, is still lacking. Here, three primers targeting the ITS2 region were evaluated alone or in combination with PNA clamps both on nettle ( Urtica dioica) root DNA and a mock community. PNA clamps did not improve the richness or diversity of the fungal communities but increased the number of fungal reads. Among the tested factors, the most significant was the primer pair. Specifically, the 5.8S-Fun/ITS4-Fun pair exhibited a higher OTU richness but fewer fungal reads. Our study demonstrates that the choice of primers is critical for limiting plant and fungal DNA co-amplification. PNA clamps increase the number of fungal reads when ITS2 is targeted but do not result in higher fungal diversity recovery at high sequencing depth. At lower read depths, PNA clamps might enhance microbial diversity quantification for primer pairs lacking fungal specificity.

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          Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

          The ongoing revolution in high-throughput sequencing continues to democratize the ability of small groups of investigators to map the microbial component of the biosphere. In particular, the coevolution of new sequencing platforms and new software tools allows data acquisition and analysis on an unprecedented scale. Here we report the next stage in this coevolutionary arms race, using the Illumina GAIIx platform to sequence a diverse array of 25 environmental samples and three known "mock communities" at a depth averaging 3.1 million reads per sample. We demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature (notably, the saline/nonsaline split in environmental samples and the split between host-associated and free-living communities). We also demonstrate that 2,000 Illumina single-end reads are sufficient to recapture the same relationships among samples that we observe with the full dataset. The results thus open up the possibility of conducting large-scale studies analyzing thousands of samples simultaneously to survey microbial communities at an unprecedented spatial and temporal resolution.
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            FUNGuild: An open annotation tool for parsing fungal community datasets by ecological guild

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              The UNITE database for molecular identification of fungi: handling dark taxa and parallel taxonomic classifications

              Abstract UNITE (https://unite.ut.ee/) is a web-based database and sequence management environment for the molecular identification of fungi. It targets the formal fungal barcode—the nuclear ribosomal internal transcribed spacer (ITS) region—and offers all ∼1 000 000 public fungal ITS sequences for reference. These are clustered into ∼459 000 species hypotheses and assigned digital object identifiers (DOIs) to promote unambiguous reference across studies. In-house and web-based third-party sequence curation and annotation have resulted in more than 275 000 improvements to the data over the past 15 years. UNITE serves as a data provider for a range of metabarcoding software pipelines and regularly exchanges data with all major fungal sequence databases and other community resources. Recent improvements include redesigned handling of unclassifiable species hypotheses, integration with the taxonomic backbone of the Global Biodiversity Information Facility, and support for an unlimited number of parallel taxonomic classification systems.
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                Author and article information

                Journal
                Mycology
                Mycology
                Mycology
                Taylor & Francis
                2150-1203
                2150-1211
                4 February 2024
                2024
                4 February 2024
                : 15
                : 2
                : 255-271
                Affiliations
                [a ]CNRS, Chrono-environnement, Université de Franche-Comté; , Montbéliard, France
                [b ]Faculté des Sciences et Technologies, Université de Lorraine; , Nancy, France
                [c ]Department of Plant & Microbiology, University of Minnesota; , St. Paul, MN, USA
                [d ]AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro; , Montpellier, France
                [e ]Université de Lorraine, CNRS, LIEC; , Nancy, France
                Author notes
                CONTACT Coralie Bertheau coralie.bertheau-rossel@ 123456univ-fcomte.fr Université de Franche-Comté; , CNRS, Chrono-environnement, Montbéliard F-25200, France
                Article
                2301003
                10.1080/21501203.2023.2301003
                11132971
                38813472
                02989185-0b6c-4aa1-91d1-e1bda16a2f9b
                © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

                History
                Page count
                Figures: 7, Tables: 2, References: 75, Pages: 17
                Categories
                Research Article
                Research Article

                its2,fungi,annealing temperature,metabarcoding,high-throughput sequencing,blocking primers,urtica dioica

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