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      Evaluating species in Botryosphaeriales

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          Abstract

          The Botryosphaeriales ( Dothideomycetes) includes numerous endophytic, saprobic, and plant pathogenic species associated with a wide range of symptoms, most commonly on woody plants. In a recent phylogenetic treatment of 499 isolates in the culture collection (CBS) of the Westerdijk Institute, we evaluated the families and genera accommodated in this order of important fungi. The present study presents multigene phylogenetic analyses for an additional 230 isolates, using ITS, tef1, tub2, LSU and rpb2 loci, in combination with morphological data. Based on these data, 58 species are reduced to synonymy, and eight novel species are described. They include Diplodia afrocarpi ( Afrocarpus, South Africa), Dothiorella diospyricola ( Diospyros, South Africa), Lasiodiplodia acaciae ( Acacia, Indonesia), Neofusicoccum podocarpi ( Podocarpus, South Africa), N. rapaneae ( Rapanea, South Africa), Phaeobotryon ulmi ( Ulmus, Germany), Saccharata grevilleae ( Grevillea, Australia) and S. hakeiphila ( Hakea, Australia). The results have clarified the identity of numerous isolates that lacked Latin binomials or had been deposited under incorrect names in the CBS collection in the past. They also provide a solid foundation for more in-depth future studies on taxa in the order. Sequences of the tef1, tub2 and rpb2 genes proved to be the most reliable markers. At the species level, results showed that the most informative genes were inconsistent, but that a combination of four candidate barcodes (ITS, tef1, tub2 and rpb2) provided reliable resolution. Furthermore, given the large number of additional isolates included in this study, and newly generated multigene DNA datasets, several species could also be reduced to synonymy. The study illustrates the value of reassessing the identity of older collections in culture collections utilising modern taxonomic frameworks and methods.

          Citation: Zhang W, Groenewald JZ, Lombard L, et al. 2021. Evaluating species in Botryosphaeriales. Persoonia 46: 63–115.

          https://doi.org/10.3767/persoonia.2021.46.03.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

            We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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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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                Author and article information

                Journal
                Persoonia
                Persoonia
                Persoonia
                Persoonia : Molecular Phylogeny and Evolution of Fungi
                Nationaal Herbarium Nederland & Centraallbureau voor Schimmelcultures
                0031-5850
                1878-9080
                2 February 2021
                June 2021
                : 46
                : 63-115
                Affiliations
                [1 ] School of Geographical Science, Lingnan Normal University, Zhanjiang 524048, China.
                [2 ] Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands
                [3 ] Hölderlinstraße 25, 15517 Fürstenwalde / Spree, Germany.
                [4 ] Universidade de Lisboa, Faculdade de Ciências, Biosystems and Integrative Sciences Institute (BioISI), Campo Grande, 1749-016 Lisbon, Portugal.
                [5 ] Wageningen University and Research Centre (WUR), Laboratory of Phytopathology, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.
                Author notes
                corresponding author e-mail: p.crous@ 123456wi.knaw.nl .
                Article
                10.3767/persoonia.2021.46.03
                9311389
                35935886
                db6a6880-1425-4def-af35-d3f033dd2871
                © 2021 Naturalis Biodiversity Center & Westerdijk Fungal Biodiversity Institute

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                History
                : 3 October 2020
                : 18 January 2021
                Categories
                Research Article

                Plant science & Botany
                canker and leaf spot pathogens,multi-locus sequence typing (mlst),new taxa,systematics

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