Darwin Tree of Life Project

Darwin Tree of Life Project

Collection Details
Creator (organisation)
Royal Botanic Gardens, Kew
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    Item type:Journal article,
    Sequence locally, think globally: The Darwin Tree of Life Project.
    (2022-01-18)
    The Darwin Tree of Life Project Consortium
    The goals of the Earth Biogenome Project—to sequence the genomes of all eukaryotic life on earth—are as daunting as they are ambitious. The Darwin Tree of Life Project was founded to demonstrate the credibility of these goals and to deliver at-scale genome sequences of unprecedented quality for a biogeographic region: the archipelago of islands that constitute Britain and Ireland. The Darwin Tree of Life Project is a collaboration between biodiversity organizations (museums, botanical gardens, and biodiversity institutes) and genomics institutes. Together, we have built a workflow that collects specimens from the field, robustly identifies them, performs sequencing, generates high-quality, curated assemblies, and releases these openly for the global community to use to build future science and conservation efforts.
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    Specimen and sample metadata standards for biodiversity genomics: a proposal from the Darwin Tree of Life project [version 1; peer review: 2 approved with reservations].
    (2022-07-12)
    Lawniczak, Mara K.N.
    ;
    Davey, Robert P.
    ;
    Rajan, Jeena
    ;
    Pereira-da-Conceicoa, Lyndall L.
    ;
    Kilias, Estelle
    The vision of the is to complete reference genomes for all of the planet’s ~2M described eukaryotic species in the coming decade. To contribute to this global endeavour, the (DToL ) was launched in 2019 with the aim of generating complete genomes for the ~70k described eukaryotic species that can be found in Britain and Ireland. One of the early tasks of the DToL project was to determine, define, and standardise the important metadata that must accompany every sample contributing to this ambitious project. This ensures high-quality contextual information is available for the associated data, enabling a richer set of information upon which to search and filter datasets as well as enabling interoperability between datasets used for downstream analysis. Here we describe some of the key factors we considered in the process of determining, defining, and documenting the metadata required for DToL project samples. The manifest and Standard Operating Procedure that are referred to throughout this paper are likely to be useful for other projects, and we encourage re-use while maintaining the standards and rules set out here.
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