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.
Systematic Biology
|May 13, 2021
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.
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.
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