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MoccaDB. An integrative database for functional, comparative and diversity studies in the Rubiaceae family

Poncet Valérie, Plechakova Olga, Bénédet Fabrice, Guyot Romain, Couderc Marie, De Block Petra, Hamon Perla, Campa Claudine, De Kochko Alexandre, Hamon Serge, Tranchant-Dubreuil Christine. 2011. MoccaDB. An integrative database for functional, comparative and diversity studies in the Rubiaceae family. In : Proceedings of the 23rd International Conference on Coffee Science; Bali, Indonesia, October 3-8, 2010 = Actes du 23ème Colloque scientifique international sur le café, Bali, Indonésie, 3-8 octobre 2010. ASIC. Paris : ASIC, pp. 389-396. ISBN 978-2-900212-22-6 International Conference on Coffee Science. 23, Bali, Indonésie, 3 October 2010/8 October 2010.

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Abstract : In the past few years, genomics information has been rapidly accumulating on Rubiaceae species and especially on those belonging to the Coffea genus. An increasing number of expressed sequence tag (EST) data and genomic- or EST-derived microsatellite markers have been generated, together with Conserved Ortholog Set (COS) markers. This considerably facilitates comparative genomics or genetic map based studies through the common use of ortholog loci across different species. Similar genomic information is available for tomato or potato, members of the Solanaceae family. Since both Rubiaceae and Solanaceae belong to the Euasterids I clade, integration of information on genetic markers would be possible and should lead to more efficient analyses and discovery of key loci involved in important traits such as fruit development, quality or adaptation. Our goal was to develop a comprehensive web data source for researchers working on Coffea genus, the Rubiaceae family or related species. MoccaDB (http://moccadb.mpl.ird.fr/) (Plechakova et al., 2009) is an interactive online database that manage information about EST-SSR and SSR markers. Markers were checked for redundancy, in vitro tested for cross-amplification and diversity over up to 38 Rubiaceae species. MoccaDB includes Cmap and BLAST tools and links to other related databases (e.g., SGN, NCBI). We believe that MoccaDB will be extremely useful for all researchers working in the areas of comparative and functional genomics and molecular evolution, in general, and population analysis and association mapping of Rubiaceae and Solanaceae species, in particular. (Résumé d'auteur)

Classification Agris : F30 - Plant genetics and breeding
F70 - Plant taxonomy and geography
C30 - Documentation and information

Auteurs et affiliations

  • Poncet Valérie, IRD (FRA)
  • Plechakova Olga, IRD (FRA)
  • Bénédet Fabrice, CIRAD-ES-UPR BSef (FRA) ORCID: 0000-0001-9281-5677
  • Guyot Romain, IRD (FRA)
  • Couderc Marie, IRD (FRA)
  • De Block Petra, Jardin botanique national de Belgique (BEL)
  • Hamon Perla, IRD (FRA)
  • Campa Claudine, IRD (FRA)
  • De Kochko Alexandre, IRD (FRA)
  • Hamon Serge, IRD (FRA)
  • Tranchant-Dubreuil Christine, IRD (FRA)

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/570217/)

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