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      Integrative taxonomy confirms three species of Coniocarpon (Arthoniaceae) in Norway

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          Abstract

          Abstract

          We have studied the highly oceanic genus Coniocarpon in Norway. Our aim has been to delimit species of Coniocarpon in Norway based on an integrative taxonomic approach. The material studied comprises 120 specimens of Coniocarpon , obtained through recent collecting efforts (2017 and 2018) or received from major fungaria in Denmark, Finland, Norway and Sweden, as well as from private collectors. We have assessed (1) species delimitations and relationships based on Bayesian and maximum likelihood phylogenetic analyses of three genetic markers (mtSSU, nucITS and RPB2), (2) morphology and anatomy using standard light microscopy, and (3) secondary lichen chemistry using high-performance thin-layer chromatography. The results show three genetically distinct lineages of Coniocarpon , representing C. cinnabarinum , C. fallax and C. cuspidans comb. nov. The latter was originally described as Arthonia cinnabarina f. cuspidans and is herein raised to species level. All three species are supported by morphological, anatomical and chemical data.

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          Most cited references 28

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          How many bootstrap replicates are necessary?

          Phylogenetic bootstrapping (BS) is a standard technique for inferring confidence values on phylogenetic trees that is based on reconstructing many trees from minor variations of the input data, trees called replicates. BS is used with all phylogenetic reconstruction approaches, but we focus here on one of the most popular, maximum likelihood (ML). Because ML inference is so computationally demanding, it has proved too expensive to date to assess the impact of the number of replicates used in BS on the relative accuracy of the support values. For the same reason, a rather small number (typically 100) of BS replicates are computed in real-world studies. Stamatakis et al. recently introduced a BS algorithm that is 1 to 2 orders of magnitude faster than previous techniques, while yielding qualitatively comparable support values, making an experimental study possible. In this article, we propose stopping criteria--that is, thresholds computed at runtime to determine when enough replicates have been generated--and we report on the first large-scale experimental study to assess the effect of the number of replicates on the quality of support values, including the performance of our proposed criteria. We run our tests on 17 diverse real-world DNA--single-gene as well as multi-gene--datasets, which include 125-2,554 taxa. We find that our stopping criteria typically stop computations after 100-500 replicates (although the most conservative criterion may continue for several thousand replicates) while producing support values that correlate at better than 99.5% with the reference values on the best ML trees. Significantly, we also find that the stopping criteria can recommend very different numbers of replicates for different datasets of comparable sizes. Our results are thus twofold: (i) they give the first experimental assessment of the effect of the number of BS replicates on the quality of support values returned through BS, and (ii) they validate our proposals for stopping criteria. Practitioners will no longer have to enter a guess nor worry about the quality of support values; moreover, with most counts of replicates in the 100-500 range, robust BS under ML inference becomes computationally practical for most datasets. The complete test suite is available at http://lcbb.epfl.ch/BS.tar.bz2, and BS with our stopping criteria is included in the latest release of RAxML v7.2.5, available at http://wwwkramer.in.tum.de/exelixis/software.html.
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            Design of a primer for ribosomal DNA internal transcribed spacer with enhanced specificity for ascomycetes.

            A primer able to amplify the internal transcribed spacers (ITS) of the ribosomal DNA (rDNA), having enhanced specificity for ascomycetes, was identified by reviewing fungal ribosomal DNA sequences deposited in GenBank. The specificity of the primer, named ITS4A, was tested with DNA extracted from several species of ascomycetes, basidiomycetes, zygomycetes, mastigomycetes and mitosporic fungi (formerly deuteromycetes) and also from plants. The PCR annealing temperature most specific for ascomycetes was found to be 62 degrees C and 64 degrees C for the primer pairs ITS5 + ITS4A and ITS1F + ITS4A, respectively. At these annealing temperatures, all ascomycetous DNA samples were amplified efficiently with the ITS4A primer. The sensitivity limit was in the range 10(-14) g of DNA. This primer could also provide useful tools in suggesting the affinities of many mitosporic fungi with their perfect states.
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              Goodbye morphology? A paradigm shift in the delimitation of species in lichenized fungi

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                Author and article information

                Contributors
                Journal
                MycoKeys
                MycoKeys
                11
                urn:lsid:arphahub.com:pub:C004A564-9D6A-5F9F-B058-6A3815DFE9C3
                MycoKeys
                Pensoft Publishers
                1314-4057
                1314-4049
                2020
                23 January 2020
                : 62
                : 27-51
                Affiliations
                [1 ] NTNU University Museum, Norwegian University of Science and Technology, 7491 Trondheim, Norway
                [2 ] Institute of Plant Sciences, Karl-Franzens-University Graz, Holteigasse 6, 8010 Graz, Austria
                Author notes
                Corresponding author: Mika Bendiksby ( mika.bendiksby@ 123456ntnu.no )

                Academic editor: T. Lumbsch

                Article
                48480
                10.3897/mycokeys.62.48480
                6992689
                Andreas Frisch, Victoria Stornes Moen, Martin Grube, Mika Bendiksby

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                Categories
                Research Article
                Arthoniaceae
                Biodiversity & Conservation
                DNA barcoding
                Identification key
                Molecular systematics
                Nomenclature
                Phylogeny
                Taxonomy
                British Isles
                Norway incl. Finnmark
                Rwanda
                Sweden
                Uganda

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