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MGIS: managing banana (Musa spp.) genetic resources information and high-throughput genotyping data

Authors :
Valentin Guignon
L. Gueco
Agus Sutanto
T. Ayala-Silva
Christophe Jenny
K. Jelali
J. Adeka
Janet Paofa
P. Ngo Xuan
B. Dowiya
Rachel Chase
G. Vangu Paka
J. Daniells
Julie Sardos
Max Ruas
B. Effa effa
L. Herradura
G. Yi
Nicolas Roux
J. Kilangi
E. Kempenaers
C. Pavis
A. Andrieu
Tom Hazekamp
C. Tossou
J. Sandoval
H. Duvergey
Ibobondji. L.
Guilhem Sempere
Mathieu Rouard
Yann Hueber
D. Thiemele
I. van den Houwe
C.P. Chao
S. Muhangi
Brian M. Irish
Parc Scientifique Agropolis II
Partenaires INRAE
South Green Bioinformatics Platform
Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP)
Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
USDA-ARS : Agricultural Research Service
University of Kisangani
Taiwan Banana Research Institute
Department of Agriculture, Fisheries and Forestry ( DAFF )
Institut de l'environnement et de recherches agricoles
Centre national de la recherche scientifique et technologique
University of the Philippines (UP System)
Davao National Crop Research and Development Center
African Center for Research on Bananas and Plantains = Centre Africain de Recherches sur Bananiers et Plantains (CARBAP)
Université Catholique de Louvain = Catholic University of Louvain (UCL)
Agricultural Research Institute
National Agricultural Research Organization
Fruit and Vegetable Research Institute
Research Institute
Agrosystèmes tropicaux (ASTRO)
Institut National de la Recherche Agronomique (INRA)
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)
Centre National de Recherche Agronomique de Côte d'Ivoire (CNRA)
Institut National des Recherches Agricoles du Bénin (INRAB)
Corporación Bananera Nacional (CORBANA)
Indonesian Centre for Horticultural Research and Development
Guangdong Academy of Agricultural Sciences (GDAAS)
Bioversity International [Montpellier]
Bioversity International [Rome]
Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR)
CGIAR
CGIAR Research Program on Roots, Tubers and Bananas (RTB)
CGIAR Research Programme for Managing and Sustaining Crop Collections (Genebanks Platform)
Belgian Development Cooperation and Humanitarian Aid (DGD)
German Ministry for Economic Cooperation and Development (BMZ) GIZ
Ruas, Max
Rouard, M.
Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)
Source :
Database: The Journal of Biological Databases and Curation, Database-The journal of Biological Databases and Curation, Database-The journal of Biological Databases and Curation, Oxford University Press, 2017, pp.1-12. ⟨10.1093/database/bax046⟩, Database, 1-12. (2017), Database
Publication Year :
2017

Abstract

Unraveling the genetic diversity held in genebanks on a large scale is underway, due to advances in Next-generation sequence (NGS) based technologies that produce high-density genetic markers for a large number of samples at low cost. Genebank users should be in a position to identify and select germplasm from the global genepool based on a combination of passport, genotypic and phenotypic data. To facilitate this, a new generation of information systems is being designed to efficiently handle data and link it with other external resources such as genome or breeding databases. The Musa Germplasm Information System (MGIS), the database for global ex situ-held banana genetic resources, has been developed to address those needs in a user-friendly way. In developing MGIS, we selected a generic database schema (Chado), the robust content management system Drupal for the user interface, and Tripal, a set of Drupal modules which links the Chado schema to Drupal. MGIS allows germplasm collection examination, accession browsing, advanced search functions, and germplasm orders. Additionally, we developed unique graphical interfaces to compare accessions and to explore them based on their taxonomic information. Accession-based data has been enriched with publications, genotyping studies and associated genotyping datasets reporting on germplasm use. Finally, an interoperability layer has been implemented to facilitate the link with complementary databases like the Banana Genome Hub and the MusaBase breeding database. Database URL: https://www.crop-diversity.org/mgis/

Details

ISSN :
17580463
Volume :
2017
Database :
OpenAIRE
Journal :
Database : the journal of biological databases and curation
Accession number :
edsair.doi.dedup.....dc4e0f65201a260c6196dc3156185f6b
Full Text :
https://doi.org/10.1093/database/bax046⟩