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      Three new species of Hydnophlebia (Polyporales, Basidiomycota) from the Macaronesian Islands

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      MycoKeys

      Pensoft Publishers

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          Abstract

          The genus Hydnophlebia includes two species of wood-inhabiting fungi, Hydnophlebia chrysorhizon and Hydnophlebia omnivora. Both are characterized by cream to reddish-orange, resupinate basidiome, with hydnoid hymenophore, margin with strands, a monomitic hyphal system, tubular to ventricose cystidia and elliptical spores. In this paper, a taxonomic study of Hydnophlebia, using morphology and molecular analyses of large subunit nuclear ribosomal DNA (LSU) and the internal transcribed spacer nrDNA operon (ITS), is reported. Three new species, Hydnophlebia canariensis, H. gorgonea and H. meloi, from the Macaronesia bioregion (Canary Islands and Cape Verde Archipelago), are described.

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          Most cited references31

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          DNA sequence evolution through nucleotide substitution may be assimilated to a stationary Markov process. The fundamental equations of the general model, with 12 independent substitution parameters, are used to obtain a formula which corrects the effect of multiple and parallel substitutions on the measure of evolutionary divergence between two homologous sequences. We show that only reversible models, with six independent parameters, allow the calculation of the substitution rates. Simulation experiments on DNA sequence evolution through nucleotide substitution call into question the effectiveness of the general model (and of any other more detailed description); nevertheless, the general model results are slightly superior to any of its particular cases.
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            Markov Chasin Monte Carlo Algorithms for the Bayesian Analysis of Phylogenetic Trees

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              Assembling the fungal tree of life: progress, classification, and evolution of subcellular traits.

              Based on an overview of progress in molecular systematics of the true fungi (Fungi/Eumycota) since 1990, little overlap was found among single-locus data matrices, which explains why no large-scale multilocus phylogenetic analysis had been undertaken to reveal deep relationships among fungi. As part of the project "Assembling the Fungal Tree of Life" (AFTOL), results of four Bayesian analyses are reported with complementary bootstrap assessment of phylogenetic confidence based on (1) a combined two-locus data set (nucSSU and nucLSU rDNA) with 558 species representing all traditionally recognized fungal phyla (Ascomycota, Basidiomycota, Chytridiomycota, Zygomycota) and the Glomeromycota, (2) a combined three-locus data set (nucSSU, nucLSU, and mitSSU rDNA) with 236 species, (3) a combined three-locus data set (nucSSU, nucLSU rDNA, and RPB2) with 157 species, and (4) a combined four-locus data set (nucSSU, nucLSU, mitSSU rDNA, and RPB2) with 103 species. Because of the lack of complementarity among single-locus data sets, the last three analyses included only members of the Ascomycota and Basidiomycota. The four-locus analysis resolved multiple deep relationships within the Ascomycota and Basidiomycota that were not revealed previously or that received only weak support in previous studies. The impact of this newly discovered phylogenetic structure on supraordinal classifications is discussed. Based on these results and reanalysis of subcellular data, current knowledge of the evolution of septal features of fungal hyphae is synthesized, and a preliminary reassessment of ascomal evolution is presented. Based on previously unpublished data and sequences from GenBank, this study provides a phylogenetic synthesis for the Fungi and a framework for future phylogenetic studies on fungi.
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                Author and article information

                Journal
                MycoKeys
                MC
                Pensoft Publishers
                1314-4049
                1314-4057
                November 01 2017
                November 01 2017
                : 27
                : 39-64
                Article
                10.3897/mycokeys.27.14866
                876678a5-4f0b-48fa-9573-53c5de713a08
                © 2017

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