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A Comprehensive Phylogenomic Platform for Exploring the Angiosperm Tree of Life.
Baker, William J; Bailey, Paul; Barber, Vanessa; Barker, Abigail; Bellot, Sidonie; Bishop, David; Botigué, Laura R; Brewer, Grace; Carruthers, Tom; Clarkson, James J; Cook, Jeffrey; Cowan, Robyn S; Dodsworth, Steven; Epitawalage, Niroshini; Françoso, Elaine; Gallego, Berta; Johnson, Matthew G; Kim, Jan T; Leempoel, Kevin; Maurin, Olivier; Mcginnie, Catherine; Pokorny, Lisa; Roy, Shyamali; Stone, Malcolm; Toledo, Eduardo; Wickett, Norman J; Zuntini, Alexandre R; Eiserhardt, Wolf L; Kersey, Paul J; Leitch, Ilia J; Forest, Félix.
Afiliación
  • Baker WJ; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Bailey P; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Barber V; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Barker A; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Bellot S; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Bishop D; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Botigué LR; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Brewer G; Centre for Research in Agricultural Genomics, Campus UAB, Edifici CRAG, Bellaterra Cerdanyola del Vallès, 08193 Barcelona, Spain.
  • Carruthers T; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Clarkson JJ; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Cook J; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Cowan RS; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Dodsworth S; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Epitawalage N; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Françoso E; School of Life Sciences, University of Bedfordshire, University Square, Luton LU1 3JU, UK.
  • Gallego B; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Johnson MG; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Kim JT; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Leempoel K; Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409, USA.
  • Maurin O; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Mcginnie C; Department of Computer Science, School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, UK.
  • Pokorny L; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Roy S; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Stone M; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Toledo E; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Wickett NJ; Centre for Plant Biotechnology and Genomics (CBGP) UPM-INIA, 28223 Pozuelo de Alarcón (Madrid), Spain.
  • Zuntini AR; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Eiserhardt WL; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Kersey PJ; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
  • Leitch IJ; Plant Science and Conservation, Chicago Botanic Garden, 1000 Lake Cook Road, Glencoe, IL 60022, USA.
  • Forest F; Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.
Syst Biol ; 71(2): 301-319, 2022 02 10.
Article en En | MEDLINE | ID: mdl-33983440
ABSTRACT
The tree of life is the fundamental biological roadmap for navigating the evolution and properties of life on Earth, and yet remains largely unknown. Even angiosperms (flowering plants) are fraught with data gaps, despite their critical role in sustaining terrestrial life. Today, high-throughput sequencing promises to significantly deepen our understanding of evolutionary relationships. Here, we describe a comprehensive phylogenomic platform for exploring the angiosperm tree of life, comprising a set of open tools and data based on the 353 nuclear genes targeted by the universal Angiosperms353 sequence capture probes. The primary goals of this article are to (i) document our methods, (ii) describe our first data release, and (iii) present a novel open data portal, the Kew Tree of Life Explorer (https//treeoflife.kew.org). We aim to generate novel target sequence capture data for all genera of flowering plants, exploiting natural history collections such as herbarium specimens, and augment it with mined public data. Our first data release, described here, is the most extensive nuclear phylogenomic data set for angiosperms to date, comprising 3099 samples validated by DNA barcode and phylogenetic tests, representing all 64 orders, 404 families (96$\%$) and 2333 genera (17$\%$). A "first pass" angiosperm tree of life was inferred from the data, which totaled 824,878 sequences, 489,086,049 base pairs, and 532,260 alignment columns, for interactive presentation in the Kew Tree of Life Explorer. This species tree was generated using methods that were rigorous, yet tractable at our scale of operation. Despite limitations pertaining to taxon and gene sampling, gene recovery, models of sequence evolution and paralogy, the tree strongly supports existing taxonomy, while challenging numerous hypothesized relationships among orders and placing many genera for the first time. The validated data set, species tree and all intermediates are openly accessible via the Kew Tree of Life Explorer and will be updated as further data become available. This major milestone toward a complete tree of life for all flowering plant species opens doors to a highly integrated future for angiosperm phylogenomics through the systematic sequencing of standardized nuclear markers. Our approach has the potential to serve as a much-needed bridge between the growing movement to sequence the genomes of all life on Earth and the vast phylogenomic potential of the world's natural history collections. [Angiosperms; Angiosperms353; genomics; herbariomics; museomics; nuclear phylogenomics; open access; target sequence capture; tree of life.].
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Magnoliopsida Tipo de estudio: Prognostic_studies Idioma: En Revista: Syst Biol Asunto de la revista: BIOLOGIA Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Magnoliopsida Tipo de estudio: Prognostic_studies Idioma: En Revista: Syst Biol Asunto de la revista: BIOLOGIA Año: 2022 Tipo del documento: Article