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      An updated tribal classification of Lamiaceae based on plastome phylogenomics

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          Abstract

          Background

          A robust molecular phylogeny is fundamental for developing a stable classification and providing a solid framework to understand patterns of diversification, historical biogeography, and character evolution. As the sixth largest angiosperm family, Lamiaceae, or the mint family, consitutes a major source of aromatic oil, wood, ornamentals, and culinary and medicinal herbs, making it an exceptionally important group ecologically, ethnobotanically, and floristically. The lack of a reliable phylogenetic framework for this family has thus far hindered broad-scale biogeographic studies and our comprehension of diversification. Although significant progress has been made towards clarifying Lamiaceae relationships during the past three decades, the resolution of a phylogenetic backbone at the tribal level has remained one of the greatest challenges due to limited availability of genetic data.

          Results

          We performed phylogenetic analyses of Lamiaceae to infer relationships at the tribal level using 79 protein-coding plastid genes from 175 accessions representing 170 taxa, 79 genera, and all 12 subfamilies. Both maximum likelihood and Bayesian analyses yielded a more robust phylogenetic hypothesis relative to previous studies and supported the monophyly of all 12 subfamilies, and a classification for 22 tribes, three of which are newly recognized in this study. As a consequence, we propose an updated phylogenetically informed tribal classification for Lamiaceae that is supplemented with a detailed summary of taxonomic history, generic and species diversity, morphology, synapomorphies, and distribution for each subfamily and tribe.

          Conclusions

          Increased taxon sampling conjoined with phylogenetic analyses based on plastome sequences has provided robust support at both deep and shallow nodes and offers new insights into the phylogenetic relationships among tribes and subfamilies of Lamiaceae. This robust phylogenetic backbone of Lamiaceae will serve as a framework for future studies on mint classification, biogeography, character evolution, and diversification.

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          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12915-020-00931-z.

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          Most cited references215

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          Fast gapped-read alignment with Bowtie 2.

          As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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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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              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

                Contributors
                hanbolijx@163.com
                xiangchunlei@mail.kib.ac.cn
                Journal
                BMC Biol
                BMC Biol
                BMC Biology
                BioMed Central (London )
                1741-7007
                8 January 2021
                8 January 2021
                2021
                : 19
                : 2
                Affiliations
                [1 ]GRID grid.9227.e, ISNI 0000000119573309, CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, , Chinese Academy of Sciences, ; Kunming, 650201 China
                [2 ]GRID grid.46072.37, ISNI 0000 0004 0612 7950, Center of Excellence in Phylogeny of Living Organisms, Department of Plant Science, College of Science, , University of Tehran, ; P.O. Box 14155-6455, Tehran, Iran
                [3 ]GRID grid.266814.f, ISNI 0000 0004 0386 5405, Department of Biology, , University of Nebraska at Kearney, ; Kearney, NE 68849 USA
                [4 ]GRID grid.474185.b, ISNI 0000 0001 0729 7490, National Herbarium of New South Wales, Australian Institute of Botanical Science, Royal Botanic Gardens & Domain Trust, ; Sydney, Australia
                [5 ]GRID grid.18883.3a, ISNI 0000 0001 2299 9255, Museum of Archaeology, , University of Stavanger, ; NO-4036 Stavanger, Norway
                [6 ]GRID grid.411047.7, ISNI 0000 0004 0595 9528, Department of Biology, , Faculty of Arts and Sciences, Kırıkkale University, ; Kırıkkale, Turkey
                [7 ]GRID grid.14003.36, ISNI 0000 0001 2167 3675, Department of Botany, , University of Wisconsin–Madison, ; Madison, WI 53706 USA
                [8 ]GRID grid.425585.b, ISNI 0000 0001 2259 6528, Department of Botany, , Natural History Museum Vienna, ; Burgring 7, 1010 Wien, Austria
                [9 ]GRID grid.5947.f, ISNI 0000 0001 1516 2393, NTNU University Museum, Norwegian University of Science and Technology, ; 7491 Trondheim, Norway
                [10 ]GRID grid.5510.1, ISNI 0000 0004 1936 8921, Natural History Museum, University of Oslo, ; Oslo, Norway
                [11 ]GRID grid.435133.3, ISNI 0000 0004 0596 3367, State Key Laboratory of Systematic & Evolutionary Botany, Institute of Botany, , Chinense Academy of Sciences, ; Xiangshan, Beijing, 100093 China
                [12 ]GRID grid.411859.0, ISNI 0000 0004 1808 3238, Research Centre of Ecological Sciences, College of Agronomy, , Jiangxi Agricultural University, ; Nanchang, 330045 China
                [13 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Biology, , University of Washington, ; Seattle, WA USA
                Article
                931
                10.1186/s12915-020-00931-z
                7796571
                33419433
                52970027-ee93-44bd-8419-d7766699ea86
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 21 July 2020
                : 19 November 2020
                Funding
                Funded by: Yunnan Fundamental Research Projects
                Award ID: 2019FI009
                Funded by: Ten Thousand Talents Program of Yunnan
                Award ID: YNWR-QNBJ-2018-279
                Funded by: CAS “Light of West China” program
                Funded by: Australian Biological Resources Study National Taxonomy Research Grant Program
                Award ID: RG19-17
                Award Recipient :
                Funded by: Postdoctoral Research Program
                Award ID: TUBITAK-BIDEB 2219
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Life sciences
                lamiaceae,lamioideae,mints,phylogenomics,tribal relationships
                Life sciences
                lamiaceae, lamioideae, mints, phylogenomics, tribal relationships

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