WCSdb: a database of wild Coffea species.


Journal

Database : the journal of biological databases and curation
ISSN: 1758-0463
Titre abrégé: Database (Oxford)
Pays: England
ID NLM: 101517697

Informations de publication

Date de publication:
20 11 2020
Historique:
received: 28 01 2020
revised: 22 06 2020
accepted: 30 07 2020
entrez: 20 11 2020
pubmed: 21 11 2020
medline: 21 10 2021
Statut: ppublish

Résumé

Coffee is a beverage enjoyed by millions of people worldwide and an important commodity for millions of people. Beside the two cultivated species (Coffea arabica and Coffea canephora), the 139 wild coffee species/taxa belonging to the Coffea genus are largely unknown to coffee scientists and breeders although these species may be crucial for future coffee crop development to face climate changes. Here we present the Wild Coffee Species database (WCSdb) hosted by Pl@ntNet platform (http://publish.plantnet-project.org/project/wildcofdb_en), providing information for 141 coffee species/taxa, for which 84 contain a photo gallery and 82 contain sequencing data (genotyping-by-sequencing, chloroplast or whole genome sequences). The objective of this database is to better understand and characterize the species (identification, morphology, biochemical compounds, genetic diversity and sequence data) in order to better protect and promote them. http://publish.plantnet-project.org/project/wildcofdb_en.

Identifiants

pubmed: 33216899
pii: 5996045
doi: 10.1093/database/baaa069
pmc: PMC7678786
pii:
doi:

Substances chimiques

Coffee 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Crown copyright 2020.

Références

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pubmed: 28212875
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pubmed: 30746478
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pubmed: 25190796
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pubmed: 31188829
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pubmed: 27469896
Ann Bot. 2012 Aug;110(3):595-613
pubmed: 22700941

Auteurs

Romain Guyot (R)

Institut de Recherche pour le Développement, UMR DIADE, Université de Montpellier, 911 Avenue Agropolis, 34394 Montpellier, France.
Department of Electronics and Automatization, Universidad Autónoma de Manizales, Antigua Estacion del Ferrocarril, 170001 Manizales, Colombia.

Perla Hamon (P)

Institut de Recherche pour le Développement, UMR DIADE, Université de Montpellier, 911 Avenue Agropolis, 34394 Montpellier, France.

Emmanuel Couturon (E)

Institut de Recherche pour le Développement, UMR DIADE, Université de Montpellier, 911 Avenue Agropolis, 34394 Montpellier, France.

Nathalie Raharimalala (N)

FOFIFA, BP 1444, Ambatobe, Antananarivo 101, Madagascar.

Jean-Jacques Rakotomalala (JJ)

FOFIFA, BP 1444, Ambatobe, Antananarivo 101, Madagascar.

Sreenath Lakkanna (S)

Plant Biotechnology Division, Unit of Central Coffee Research Institute, Coffee Board, Manasagangothri, Mysore 570 006, India.

Sylvie Sabatier (S)

AMAP, Univ Montpellier, CIRAD, CNRS, INRA, IRD Avenue Agropolis, 34398 Montpellier Cedex 5, France.

Antoine Affouard (A)

INRIA Sophia-Antipolis-ZENITH team, LIRMM-UMR 5506-CC 477, 161 rue Ada, 34095 Montpellier Cedex 5, France.

Pierre Bonnet (P)

AMAP, Univ Montpellier, CIRAD, CNRS, INRA, IRD Avenue Agropolis, 34398 Montpellier Cedex 5, France.

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Classifications MeSH