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      Plastid phylogenomic insights into relationships of all flowering plant families

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          Abstract

          Background

          Flowering plants (angiosperms) are dominant components of global terrestrial ecosystems, but phylogenetic relationships at the familial level and above remain only partially resolved, greatly impeding our full understanding of their evolution and early diversification. The plastome, typically mapped as a circular genome, has been the most important molecular data source for plant phylogeny reconstruction for decades.

          Results

          Here, we assembled by far the largest plastid dataset of angiosperms, composed of 80 genes from 4792 plastomes of 4660 species in 2024 genera representing all currently recognized families. Our phylogenetic tree (PPA II) is essentially congruent with those of previous plastid phylogenomic analyses but generally provides greater clade support. In the PPA II tree, 75% of nodes at or above the ordinal level and 78% at or above the familial level were resolved with high bootstrap support (BP ≥ 90). We obtained strong support for many interordinal and interfamilial relationships that were poorly resolved previously within the core eudicots, such as Dilleniales, Saxifragales, and Vitales being resolved as successive sisters to the remaining rosids, and Santalales, Berberidopsidales, and Caryophyllales as successive sisters to the asterids. However, the placement of magnoliids, although resolved as sister to all other Mesangiospermae, is not well supported and disagrees with topologies inferred from nuclear data. Relationships among the five major clades of Mesangiospermae remain intractable despite increased sampling, probably due to an ancient rapid radiation.

          Conclusions

          We provide the most comprehensive dataset of plastomes to date and a well-resolved phylogenetic tree, which together provide a strong foundation for future evolutionary studies of flowering plants.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12915-021-01166-2.

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          Most cited references99

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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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              MUSCLE: multiple sequence alignment with high accuracy and high throughput.

              We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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                Author and article information

                Contributors
                tingshuangyi@mail.kib.ac.cn
                dzl@mail.kib.ac.cn
                Journal
                BMC Biol
                BMC Biol
                BMC Biology
                BioMed Central (London )
                1741-7007
                29 October 2021
                29 October 2021
                2021
                : 19
                : 232
                Affiliations
                [1 ]GRID grid.9227.e, ISNI 0000000119573309, Germplasm Bank of Wild Species, Kunming Institute of Botany, , Chinese Academy of Sciences, ; Kunming, 650201 Yunnan China
                [2 ]GRID grid.410726.6, ISNI 0000 0004 1797 8419, Kunming College of Life Science, , University of Chinese Academy of Sciences, ; Kunming, 650201 Yunnan China
                [3 ]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 Yunnan China
                [4 ]GRID grid.9227.e, ISNI 0000000119573309, Lijiang Forest Ecosystem National Observation and Research Station, Kunming Institute of Botany, , Chinese Academy of Sciences, ; Lijiang, 674100 Yunnan China
                [5 ]GRID grid.15276.37, ISNI 0000 0004 1936 8091, Florida Museum of Natural History, , University of Florida, ; Gainesville, FL 32611 USA
                [6 ]GRID grid.15276.37, ISNI 0000 0004 1936 8091, Biodiversity Institute, , University of Florida, ; Gainesville, FL 32611 USA
                [7 ]GRID grid.423145.5, ISNI 0000 0001 2158 9350, Botanical Research Institute of Texas, ; 1700 University Drive, Fort Worth, TX 76017 USA
                [8 ]GRID grid.21729.3f, ISNI 0000000419368729, Department of Ecology, Evolution and Environmental Biology, , Columbia University, ; New York, NY 10025 USA
                [9 ]GRID grid.9227.e, ISNI 0000000119573309, Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, , Chinese Academy of Sciences, ; Mengla, 666303 Yunnan China
                [10 ]GRID grid.412988.e, ISNI 0000 0001 0109 131X, Department of Botany & Plant Biotechnology, , University of Johannesburg, ; PO Box 524, Auckland Park, Johannesburg, Gauteng 2006 South Africa
                [11 ]GRID grid.34477.33, ISNI 0000000122986657, Department of Biology and Burke Museum, , University of Washington, ; Seattle, WA 98195-5325 USA
                [12 ]GRID grid.426106.7, ISNI 0000 0004 0598 2103, Royal Botanic Garden Edinburgh, ; Edinburgh, EH3 5LR Scotland, UK
                [13 ]GRID grid.4903.e, ISNI 0000 0001 2097 4353, Royal Botanic Gardens, ; Kew, Richmond, Surrey TW9 3DS England, UK
                [14 ]GRID grid.1032.0, ISNI 0000 0004 0375 4078, Department of Environment and Agriculture, , Curtin University, ; Bentley, Western Australia 6102 Australia
                [15 ]GRID grid.15276.37, ISNI 0000 0004 1936 8091, Department of Biology, , University of Florida, ; Gainesville, FL 32611 USA
                Author information
                http://orcid.org/0000-0002-4990-724X
                Article
                1166
                10.1186/s12915-021-01166-2
                8555322
                34711223
                6ec16dbe-79cc-4381-a4d2-97387532493a
                © 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
                : 17 June 2021
                : 14 October 2021
                Funding
                Funded by: the strategic priority research program of chinese academy of sciences
                Award ID: XDB31000000
                Award Recipient :
                Funded by: cas’ large-scale scientific facilities
                Award ID: 2017-LSF-GBOWS-02
                Award Recipient :
                Funded by: the national natural science foundation of china with a key international (regional) cooperative research project
                Award ID: 31720103903
                Award Recipient :
                Funded by: the science and technology basic resources investigation program of china
                Award ID: 2019FY100900
                Award Recipient :
                Funded by: kib’s iflora initiative
                Award ID: 2014-4-11
                Award Recipient :
                Funded by: the open research project of the Germplasm Bank of Wild Species, Kunming Institute of Botany, CAS
                Award ID: E16O8411D1
                Award Recipient :
                Funded by: the national natural science foundation of china
                Award ID: 31570333
                Award Recipient :
                Funded by: the yunling international high-end experts program of yunnan province, china
                Award ID: YNQR-GDWG-2017-002
                Award ID: YNQR-GDWG-2018-012
                Award Recipient :
                Funded by: the cas’ youth innovation promotion association
                Award ID: 2015321
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Life sciences
                mesangiospermae,tree of life,interfamilial relationships,plastome,ppa ii
                Life sciences
                mesangiospermae, tree of life, interfamilial relationships, plastome, ppa ii

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