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      Phylogenomic analysis, cryptic species discovery, and DNA barcoding of the genus Cibotium in China based on plastome data

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          Abstract

          Germplasm resources are the source of herbal medicine production. The cultivation of superior germplasm resources helps to resolve the conflict between long-term population persistence and growing market demand by consistently producing materials with high quality. The fern species Cibotium barometz is the original plant of cibotii rhizoma (“Gouji”), a traditional Chinese medicine used in the therapy of pain, weakness, and numbness in the lower extremities. Long-history medicinal use has caused serious wild population decline in China. Without sufficient understanding of the species and lineage diversity of Cibotium, it is difficult to propose a targeted conservation scheme at present, let alone select high-quality germplasm resources. In order to fill such a knowledge gap, this study sampled C. barometz and relative species throughout their distribution in China, performed genome skimming to obtain plastome data, and conducted phylogenomic analyses. We constructed a well-supported plastome phylogeny of Chinese Cibotium, which showed that three species with significant genetic differences are distributed in China, namely C. barometz, C. cumingii, and C. sino-burmaense sp. nov., a cryptic species endemic to NW Yunnan and adjacent regions of NE Myanmar. Moreover, our results revealed two differentiated lineages of C. barometz distributed on the east and west sides of a classic phylogeographic boundary that was probably shaped by monsoons and landforms. We also evaluated the resolution of nine traditional barcode loci and designed five new DNA barcodes based on the plastome sequence that can distinguish all these species and lineages of Chinese Cibotium accurately. These novel findings on a genetic basis will guide conservation planners and medicinal plant breeders to build systematic conservation plans and exploit the germplasm resources of Cibotium in China.

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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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            MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

            The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded 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
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                06 June 2023
                2023
                : 14
                : 1183653
                Affiliations
                [1] 1Guangxi Key Laboratory of Special Non-wood Forest Cultivation and Utilization, Guangxi Engineering and Technology Research Center for Woody Spices, Guangxi Forestry Research Institute , Nanning, China
                [2] 2State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, The Chinese Academy of Sciences , Beijing, China
                [3] 3China National Botanical Garden , Beijing, China
                [4] 4College of Life Sciences, University of Chinese Academy of Sciences , Beijing, China
                [5] 5Beijing Botanical Garden , Beijing, China
                [6] 6Beijing Floriculture Engineering Technology Research Centre , Beijing, China
                [7] 7Guangxi Forestry Industry Group Stock Corporation , Nanning, China
                Author notes

                Edited by: Qiu-Yun(Jenny) Xiang, North Carolina State University, United States

                Reviewed by: Zhechen Qi, Zhejiang Sci-Tech University, China; Yun-peng Du, Beijing Academy of Agricultural and Forestry Sciences, China

                *Correspondence: Xian-Chun Zhang, zhangxc@ 123456ibcas.ac.cn ; Kai-Xiang Li, lkx202@ 123456126.com

                †These authors have contributed equally to this work

                Article
                10.3389/fpls.2023.1183653
                10279961
                ae028dc5-0f1c-43d9-9339-813999a8d707
                Copyright © 2023 Jiang, Liang, Wu, Tang, Qin, Chen, Huang, Li and Zhang

                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
                : 10 March 2023
                : 02 May 2023
                Page count
                Figures: 7, Tables: 3, Equations: 0, References: 90, Pages: 16, Words: 6782
                Funding
                This research was supported by “Evaluation of the Germplasm Resources of the Protected Plant Cibotium barometz” project (GuiLinYan[RC]2302) of Guangxi Forestry Research Institute, the National Plant Specimen Resource Center Project (NPSRC) (E0117G1001), the “Field Survey and Conservation Studies of some State Key Protected Fern Species” project in National Forestry and Grassland Administration, the “2022 Central Financial Forestry Reform and Development Funds: Collection, Conservation and Use of Germplasm Resources of Cibotium barometz” of Department of Forestry of Guangxi Zhuang Autonomous Region, as well as “Survey and Collection of Germplasm Resources of Woody and Herbaceous Plants in Guangxi, China” (GXFS-2021-34).
                Categories
                Plant Science
                Original Research
                Custom metadata
                Plant Systematics and Evolution

                Plant science & Botany
                chloroplast genome,cibotium barometz,cibotium sino-burmaense,conservation,dna barcoding,endangered species,germplasm resource,species diversity

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