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      An open and continuously updated fern tree of life

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          Abstract

          Ferns, with about 12,000 species, are the second most diverse lineage of vascular plants after angiosperms. They have been the subject of numerous molecular phylogenetic studies, resulting in the publication of trees for every major clade and DNA sequences from nearly half of all species. Global fern phylogenies have been published periodically, but as molecular systematics research continues at a rapid pace, these become quickly outdated. Here, we develop a mostly automated, reproducible, open pipeline to generate a continuously updated fern tree of life (FTOL) from DNA sequence data available in GenBank. Our tailored sampling strategy combines whole plastomes (few taxa, many loci) with commonly sequenced plastid regions (many taxa, few loci) to obtain a global, species-level fern phylogeny with high resolution along the backbone and maximal sampling across the tips. We use a curated reference taxonomy to resolve synonyms in general compliance with the community-driven Pteridophyte Phylogeny Group I classification. The current FTOL includes 5,582 species, an increase of ca. 40% relative to the most recently published global fern phylogeny. Using an updated and expanded list of 51 fern fossil constraints, we find estimated ages for most families and deeper clades to be considerably older than earlier studies. FTOL and its accompanying datasets, including the fossil list and taxonomic database, will be updated on a regular basis and are available via a web portal ( https://fernphy.github.io) and R packages, enabling immediate access to the most up-to-date, comprehensively sampled fern phylogeny. FTOL will be useful for anyone studying this important group of plants over a wide range of taxonomic scales, from smaller clades to the entire tree. We anticipate FTOL will be particularly relevant for macroecological studies at regional to global scales and will inform future taxonomic systems with the most recent hypothesis of fern phylogeny.

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          IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies

          Large phylogenomics data sets require fast tree inference methods, especially for maximum-likelihood (ML) phylogenies. Fast programs exist, but due to inherent heuristics to find optimal trees, it is not clear whether the best tree is found. Thus, there is need for additional approaches that employ different search strategies to find ML trees and that are at the same time as fast as currently available ML programs. We show that a combination of hill-climbing approaches and a stochastic perturbation method can be time-efficiently implemented. If we allow the same CPU time as RAxML and PhyML, then our software IQ-TREE found higher likelihoods between 62.2% and 87.1% of the studied alignments, thus efficiently exploring the tree-space. If we use the IQ-TREE stopping rule, RAxML and PhyML are faster in 75.7% and 47.1% of the DNA alignments and 42.2% and 100% of the protein alignments, respectively. However, the range of obtaining higher likelihoods with IQ-TREE improves to 73.3-97.1%.
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            Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

            S Altschul (1997)
            The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSI-BLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.
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              ModelFinder: Fast Model Selection for Accurate Phylogenetic Estimates

              Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection method that greatly improves the accuracy of phylogenetic estimates. The improvement is achieved by incorporating a model of rate-heterogeneity across sites not previously considered in this context, and by allowing concurrent searches of model-space and tree-space.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                24 August 2022
                2022
                : 13
                : 909768
                Affiliations
                [1] 1Department of Biological Sciences, Graduate School of Science, The University of Tokyo , Tokyo, Japan
                [2] 2Department of Botany, National Museum of Natural History, Smithsonian Institution , Washington, DC, United States
                [3] 3Departamento de Botánica, Instituto de Biología, Universidad Nacional Autónoma de México , Mexico City, Mexico
                [4] 4Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo , Chiba, Japan
                [5] 5Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo , Chiba, Japan
                [6] 6Atmosphere and Ocean Research Institute, The University of Tokyo , Chiba, Japan
                [7] 7Institute for Quantitative Biosciences, The University of Tokyo , Tokyo, Japan
                [8] 8Collaborative Research Institute for Innovative Microbiology, The University of Tokyo , Tokyo, Japan
                Author notes

                Edited by: Alexandre Salino, Federal University of Minas Gerais, Brazil

                Reviewed by: Germinal Rouhan, Muséum National d’Histoire Naturelle, France; Fay-Wei Li, Boyce Thompson Institute (BTI), United States

                *Correspondence: Joel H. Nitta, joelnitta@ 123456gmail.com

                Present Address: Joel H. Nitta, Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan

                This article was submitted to Plant Systematics and Evolution, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2022.909768
                9449725
                36092417
                6f31bb4c-025e-40d8-bfb0-1de13f3a832e
                Copyright © 2022 Nitta, Schuettpelz, Ramírez-Barahona and Iwasaki.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 31 March 2022
                : 12 July 2022
                Page count
                Figures: 5, Tables: 0, Equations: 0, References: 106, Pages: 17, Words: 11945
                Funding
                Funded by: Japan Society for the Promotion of Science, doi 10.13039/501100001691;
                Award ID: 16H06279
                Award ID: 22H04925
                Award ID: 22K15171
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                phylogeny,plastome,ppgi,pteridophyte,rbcl,fern
                Plant science & Botany
                phylogeny, plastome, ppgi, pteridophyte, rbcl, fern

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