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      Plastid genomes reveal evolutionary shifts in elevational range and flowering time of Osmanthus (Oleaceae)

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          Abstract

          Species of Osmanthus are economically important ornamental trees, yet information regarding their plastid genomes (plastomes) have rarely been reported, thus hindering taxonomic and evolutionary studies of this small but enigmatic genus. Here, we performed comparative genomics and evolutionary analyses on plastomes of 16 of the 28 currently accepted species, with 11 plastomes newly sequenced. Phylogenetic studies identified four main lineages within the genus that are here designated the: “Caucasian Osmanthus” (corresponding to O. decorus), “ Siphosmanthus” (corresponding to O. sect. Siphosmanthus), “ O. serrulatus +  O. yunnanensis,” and “Core Osmanthus: (corresponding to O. sect. Osmanthus +  O. sect. Linocieroides). Molecular clock analysis suggested that Osmanthus split from its sister clade c. 15.83 Ma. The estimated crown ages of the lineages were the following: genus Osmanthus at 12.66 Ma; “ Siphosmanthus” clade at 5.85 Ma; “ O. serrulatus +  O. yunnanensis” at 4.89 Ma; and “Core Osmanthus: clade at 6.2 Ma. Ancestral state reconstructions and trait mapping showed that ancestors of Osmanthus were spring flowering and originated at lower elevations. Phylogenetic principal component analysis clearly distinguished spring‐flowering species from autumn‐flowering species, suggesting that flowering time differentiation is related to the difference in ecological niches. Nucleotide substitution rates of 80 common genes showed slow evolutionary pace and low nucleotide variations, all genes being subjected to purifying selection.

          Abstract

          This is the first well‐sampled report on the plastomes of Osmanthus. Phylogenetic results showed that Osmanthus species were clustered into four lineages, which had a good correspondence with morphological and biogeographic evidence. Molecular dating results suggested that Osmanthus is a tertiary relict genus. The origin and diversification of Osmanthus species are speculated to be closely related to the climatic changes and the orogenesis of the Qinghai–Tibet Plateau during the Miocene. The diversity of flowering time of Osmanthus is related to niche differences. The plastid genes are likely to not be significantly involved in adaptation to altitude or precipitation.

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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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              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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                Author and article information

                Contributors
                wangxianrong66@njfu.edu.cn
                yifan419@hotmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                01 April 2022
                April 2022
                : 12
                : 4 ( doiID: 10.1002/ece3.v12.4 )
                : e8777
                Affiliations
                [ 1 ] ringgold 74584; Co‐Innovation Center for Sustainable Forestry in Southern China College of Biology and the Environment International Cultivar Registration Center for Osmanthus Nanjing Forestry University Nanjing China
                [ 2 ] Department of Botany and Biodiversity Research Centre University of British Columbia Vancouver British Columbia Canada
                Author notes
                [*] [* ] Correspondence

                Xianrong Wang and Yifan Duan, Co‐Innovation Center for Sustainable Forestry in Southern China, College of Biology and the Environment, International Cultivar Registration Center for Osmanthus, Nanjing Forestry University, Nanjing 210037, China.

                Emails: wangxianrong66@ 123456njfu.edu.cn and yifan419@ 123456hotmail.com

                Author information
                https://orcid.org/0000-0002-1621-5562
                https://orcid.org/0000-0001-5899-777X
                Article
                ECE38777
                10.1002/ece3.8777
                8975774
                26a740a7-a97f-40bf-ba2e-554dca390e63
                © 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 10 March 2022
                : 29 October 2021
                : 11 March 2022
                Page count
                Figures: 5, Tables: 1, Pages: 13, Words: 10080
                Funding
                Funded by: Postgraduate Research & Practice Innovation Program of Jiangsu
                Award ID: KYCX17_0816
                Funded by: Nanjing Forestry University Excellent Doctoral Thesis Fund
                Award ID: 2171700127
                Categories
                Phylogenetics
                Research Article
                Research Articles
                Custom metadata
                2.0
                April 2022
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.1.3 mode:remove_FC converted:01.04.2022

                Evolutionary Biology
                ancestral state reconstruction,ancestral trait reconstruction,molecular clock,plastomes,purification selections

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