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      Sirolpidium bryopsidis, a parasite of green algae, is probably conspecific with Pontisma lagenidioides, a parasite of red algae

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          Abstract

          The genus Sirolpidium ( Sirolpidiaceae) of the Oomycota includes several species of holocarpic obligate aquatic parasites. These organisms are widely occurring in marine and freshwater habitats, mostly infecting filamentous green algae. Presently, all species are only known from their morphology and descriptive life cycle traits. None of the seven species classified in Sirolpidium, including the type species, S. bryopsidis, has been rediscovered and studied for their molecular phylogeny, so far. Originally, the genus was established to accommodate all parasites of filamentous marine green algae. In the past few decades, however, Sirolpidium has undergone multiple taxonomic revisions and several species parasitic in other host groups were added to the genus. While the phylogeny of the marine rhodophyte- and phaeophyte-infecting genera Pontisma and Eurychasma, respectively, has only been resolved recently, the taxonomic placement of the chlorophyte-infecting genus Sirolpidium remained unresolved. In the present study, we report the phylogenetic placement of Sirolpidium bryopsidis infecting the filamentous marine green algae Capsosiphon fulvescens sampled from Skagaströnd in Northwest Iceland. Phylogenetic reconstructions revealed that S. bryopsidis is either conspecific or at least very closely related to the type species of Pontisma, Po. lagenidioides. Consequently, the type species of genus Sirolpidium, S. bryopsidis, is reclassified to Pontisma. Further infection trials are needed to determine if Po. bryopsidis and Po. lagenidioides are conspecific or closely related. In either case, the apparently recent host jump from red to green algae is remarkable, as it opens the possibility for radiation in a largely divergent eukaryotic lineage.

          Citation: Buaya AT, Scholz B, Thines M (2021). Sirolpidium bryopsidis, a parasite of green algae, is probably conspecific with Pontisma lagenidioides, a parasite of red algae. Fungal Systematics and Evolution 7: 223–231. doi: 10.3114/fuse.2021.07.11

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          RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

          Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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            MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space

            Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest official release presented in 2003. The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly. The introduction of new proposals and automatic optimization of tuning parameters has improved convergence for many problems. The new version also sports significantly faster likelihood calculations through streaming single-instruction-multiple-data extensions (SSE) and support of the BEAGLE library, allowing likelihood calculations to be delegated to graphics processing units (GPUs) on compatible hardware. Speedup factors range from around 2 with SSE code to more than 50 with BEAGLE for codon problems. Checkpointing across all models allows long runs to be completed even when an analysis is prematurely terminated. New models include relaxed clocks, dating, model averaging across time-reversible substitution models, and support for hard, negative, and partial (backbone) tree constraints. Inference of species trees from gene trees is supported by full incorporation of the Bayesian estimation of species trees (BEST) algorithms. Marginal model likelihoods for Bayes factor tests can be estimated accurately across the entire model space using the stepping stone method. The new version provides more output options than previously, including samples of ancestral states, site rates, site d N /d S rations, branch rates, and node dates. A wide range of statistics on tree parameters can also be output for visualization in FigTree and compatible software.
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              MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

              Comparative analysis of molecular sequence data is essential for reconstructing the evolutionary histories of species and inferring the nature and extent of selective forces shaping the evolution of genes and species. Here, we announce the release of Molecular Evolutionary Genetics Analysis version 5 (MEGA5), which is a user-friendly software for mining online databases, building sequence alignments and phylogenetic trees, and using methods of evolutionary bioinformatics in basic biology, biomedicine, and evolution. The newest addition in MEGA5 is a collection of maximum likelihood (ML) analyses for inferring evolutionary trees, selecting best-fit substitution models (nucleotide or amino acid), inferring ancestral states and sequences (along with probabilities), and estimating evolutionary rates site-by-site. In computer simulation analyses, ML tree inference algorithms in MEGA5 compared favorably with other software packages in terms of computational efficiency and the accuracy of the estimates of phylogenetic trees, substitution parameters, and rate variation among sites. The MEGA user interface has now been enhanced to be activity driven to make it easier for the use of both beginners and experienced scientists. This version of MEGA is intended for the Windows platform, and it has been configured for effective use on Mac OS X and Linux desktops. It is available free of charge from http://www.megasoftware.net.
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                Author and article information

                Journal
                Fungal Syst Evol
                Fungal Syst Evol
                FUSE
                Fungal Systematics and Evolution
                Westerdijk Fungal Biodiversity Institute
                2589-3823
                2589-3831
                5 March 2021
                June 2021
                : 7
                : 223-231
                Affiliations
                [1 ]Senckenberg Biodiversity and Climate Research Center, Senckenberganlage 25, D-60325 Frankfurt am Main, Germany
                [2 ]BioPol ehf, Marine Biotechnology, Einbúastig 2, 545 Skagaströnd, Iceland
                [3 ]Goethe-University Frankfurt am Main, Department of Biological Sciences, Institute of Ecology, Evolution and Diversity, Max-von-Laue Str. 13, D-60438 Frankfurt am Main, Germany
                [4 ]LOEWE Centre for Translational Biodiversity Genomics, Georg-Voigt-Str. 14-16, D-60325 Frankfurt am Main, Germany
                Author notes
                *Corresponding author: m.thines@ 123456thines-lab.eu

                Corresponding editor: P.W. Crous

                Article
                10.3114/fuse.2021.07.11
                8165961
                34124625
                1045dacf-06b0-4c84-8b9b-7ccf1e4963e1
                © 2021 Westerdijk Fungal Biodiversity Institute

                Fungal Systematics and Evolution is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License

                History
                : 18 January 2021
                : 22 February 2021
                Categories
                Articles

                chlorophyte algae,early-diverging,new taxa,oomycota,petersenia,phylogeny,pontismataceae,sirolpidiaceae,taxonomy,type species

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