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A Comprehensive Phylogenomic Platform for Exploring the Angiosperm Tree of Life.

William J Baker1, Paul Bailey1, Vanessa Barber1

  • 1Royal Botanic Gardens, Kew, Richmond, Surrey TW9 3AE, UK.

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Summary

This study introduces a new platform for exploring the angiosperm tree of life using 353 nuclear genes. The first data release provides a comprehensive nuclear phylogenomic dataset and a species tree, supporting existing taxonomy while refining evolutionary relationships.

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Area of Science:

  • Phylogenomics
  • Evolutionary Biology
  • Botany

Background:

  • The evolutionary history of flowering plants (angiosperms) remains incompletely understood, despite their ecological importance.
  • High-throughput sequencing technologies offer new avenues to resolve these evolutionary relationships.
  • Existing data gaps hinder a comprehensive understanding of the angiosperm tree of life.

Purpose of the Study:

  • To develop a comprehensive phylogenomic platform for the angiosperm tree of life.
  • To document methods, release initial data, and present an open data portal.
  • To generate and integrate nuclear phylogenomic data from diverse sources, including natural history collections.

Main Methods:

  • Utilized the Angiosperms353 sequence capture probes targeting 353 nuclear genes.
  • Developed a phylogenomic platform with open tools and data.
  • Exploited herbarium specimens and public data for sequence generation.
  • Validated 3099 samples using DNA barcoding and phylogenetic tests.

Main Results:

  • The first data release is the most extensive nuclear phylogenomic dataset for angiosperms to date.
  • Inferred a "first pass" angiosperm tree of life from 824,878 sequences.
  • The tree supports existing taxonomy and challenges/clarifies numerous hypothesized relationships.
  • The data and tree are openly accessible via the Kew Tree of Life Explorer.

Conclusions:

  • This work represents a major milestone toward a complete tree of life for flowering plants.
  • The platform and data facilitate an integrated future for angiosperm phylogenomics.
  • The approach bridges large-scale genomics initiatives with natural history collection data.