Welcome to the Amborella Genome Database
Thanks for visiting!
We have released an stable draft genome assembly and annotation and invite contributions to the genome analysis. Data are protected under the terms of the Fort Lauderdale Agreement.
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Funded by the NSF Plant Genome Research Program, the Amborella Genome Sequencing Project aims to generate a high-quality draft genome sequence for Amborella trichopoda, the earliest diverging species on the flowering plant tree of life.
A genome sequence of Amborella trichopoda will provide a foundation for all comparative analyses of angiosperm gene content and genome structure. Among basal angiosperms, Amborella has the most extensive genomic resources, already possessing high-quality genomic libraries, a physical map, and a large expressed gene (transcriptome) database. These resources, along with its pivotal phylogenetic position and moderate genome size (870 million base pairs), make Amborella the singular choice for the first basal angiosperm to be fully sequenced. The Amborella Genome Project will: 1) complete the physical map of Amborella; 2) generate a high-quality draft sequence and assembly of the Amborella genome using "next generation" sequencing methods; and 3) develop bioinformatic tools and a public-access website to display the project database as it is produced, and support comparative analyses and data mining by the scientific community at large.
The Amborella Genome Database is currently under active development. The site will host all large scale genomic and genetic data for Amborella, as well as the tools to leverage these data for comparative evolutionary analysis.
Lead PI: Claude W. dePamphilis (Penn State University)
Co-PIs: Victor A. Albert (University at Buffalo), W. Brad Barbazuk (University of Florida - Gainesville), James Leebens-Mack (University of Georgia - Athens), Hong Ma (Pennsylvania State University), Douglas E. Soltis (University of Florida - Gainesville), Pamela S. Soltis (University of Florida - Gainesville), and Susan R. Wessler (University of California, Riverside)
Project Manager: Joshua P. Der (Penn State University)
Key collaborators: Jeffrey D. Palmer (Indiana State University), Steven D. Rounsley (Dow Agrosciences), Stephan C. Schuster (Pennsylvania State University), and Rodney Wing (University of Arizona)

Any opinions, findings, conclusions or recommendations are those of the project, and do not necessarily reflect the views of the NSF.