The Medicago Genome Initiative: a model legume database

The Medicago Genome Initiative (MGI) is a database of EST sequences of the model legume Medicago truncatula. The database is available to the public and has resulted from a collaborative research effort between the Samuel Roberts Noble Foundation and the National Center for Genome Resources to investigate the genome of M.truncatula. MGI is part of the greater integrated Medicago functional genomics program at the Noble Foundation (http://www.noble .org), which is taking a global approach in studying the genetic and biochemical events associated with the growth, development and environmental interactions of this model legume. Our approach will include: large-scale EST sequencing, gene expression profiling, the generation of M.truncatula activation-tagged and promoter trap insertion mutants, high-throughput metabolic profiling, and proteome studies. These multidisciplinary information pools will be interfaced with one another to provide scientists with an integrated, holistic set of tools to address fundamental questions pertaining to legume biology. The public interface to the MGI database can be accessed at http://www.ncgr.org/research/mgi.

Potentials of the National Corn Genome Initiative

The present paper summarizes future needs in information and tools, technology, infrastructure, training, funding, and bioinformatics, to provide the genomic knowledge and tools for breeding and biotechnological goals in maize. The National Corn Genome Initiative (NCGA) has developed through actions taken by the National Corn Growers Association (NCGA) and participation in a planning process by institutions, companies, and organizations. At the web address for the NCGI, http://www.inverizon.com/ncgi, are detailed analyses of goals and costs, impact and value, and strategy and approaches. The NCGI has also produced an informative and perceptive video suitable for public groups or schools, about agricultural contributions to life and the place of maize in these contributions. High potential can be expected, from cross-application of knowledge obtained in maize and other cereals. Development of information and tools for all crops, whether monocots or dicots, will be gained through an initiative, and each crop will be positioned to advance with cost-effective parallels, especially for expressed sequences, markers, and physical mapping.