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Genetic diversity and differentiation among the species of African Mahogany (Khaya spp.) based on a large SNP array

Pakull Birte, Ekué Marius Rodrigue Mensah, Bouka-Dipelet Ulrich Gaël, Doumenge Charles, McKey Doyle B., Loumeto Jean Joël, Opuni-Frimpong Emmanuel, Yorou Soulemane N., Nacoulma Blandine Marie Ivette, Guelly Kutzo-Atsu, Ramamonjisoa Lolona, Thomas Darren, Guichoux Erwan, Loo Judy, Degen Bernd. 2019. Genetic diversity and differentiation among the species of African Mahogany (Khaya spp.) based on a large SNP array. Conservation Genetics, 20 (5) : pp. 1035-1044.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
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595029.pdf

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Quartile : Q2, Sujet : BIODIVERSITY CONSERVATION / Quartile : Q3, Sujet : GENETICS & HEREDITY

Liste HCERES des revues (en SHS) : oui

Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie

Abstract : The genus Khaya includes some of the highest-value timber species in natural forests in Africa, which are under heavy exploitation pressure. Genetic identification of Khaya species is important to confirm the taxonomic classification for biodiversity conservation purposes and as a forensic tool aiding law enforcement in the fight against illegal logging. We collected samples from a total of 2222 trees belonging to five or six (depending on classification) different Khaya species (K. ivorensis, K. anthotheca/K. nyasica, K. grandifoliola, K. senegalensis, K. madagascariensis). Representative sampling was conducted over the natural ranges of all sampled Khaya species, in humid tropical forest and savanna zones. We genotyped individuals based on 101 molecular markers (67 nuclear, 11 chloroplast and 22 mitochondrial SNPs, 1 chloroplast indel). Bayesian clustering produced three main genetic groups assigning all K. ivorensis and all K. senegalensis trees, respectively, in two different clusters and all remaining individuals in a third cluster. Genetic self-assignment tests with all 101 SNPs had success rates of 97–100% for all species except for K. nyasica and K. madagascariensis, which could not be clearly distinguished from each other. A success rate for species identification nearly as high was observed using a subset of 15 highly differentiated SNPs. There was only very little evidence for hybridization among species and the vast majority (> 97%) of individuals were assigned to the same species group as identified based on morphological characters.

Mots-clés Agrovoc : Khaya, forêt tropicale, Variation génétique, Taxonomie, Identification, Génotype, Conservation des ressources génétiques

Mots-clés géographiques Agrovoc : Afrique, Madagascar

Mots-clés complémentaires : Khaya ivorensis, Khaya anthoteca, Khaya senegalensis, Khaya grandifolia, Khaya nyasica, Khaya madagascariensis

Mots-clés libres : Africa, Genetic assignement, Species identification, Timber, Tropical tree

Classification Agris : K01 - Forestry - General aspects
F70 - Plant taxonomy and geography
F30 - Plant genetics and breeding
P01 - Nature conservation and land resources

Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité

Agence(s) de financement européenne(s) : European Commission

Projet(s) de financement européen(s) : UNSPECIFIED

Auteurs et affiliations

  • Pakull Birte, Thünen Institute of Forest Genetics (DEU)
  • Ekué Marius Rodrigue Mensah, Bioversity International (CMR)
  • Bouka-Dipelet Ulrich Gaël, CIRAD-ES-UPR Forêts et sociétés (FRA)
  • Doumenge Charles, CIRAD-ES-UPR Forêts et sociétés (FRA)
  • McKey Doyle B., CNRS (FRA)
  • Loumeto Jean Joël, Université Marien Ngouabi (COG)
  • Opuni-Frimpong Emmanuel, University of Energy and Natural Resources (GHA)
  • Yorou Soulemane N., Université de Parakou (BEN)
  • Nacoulma Blandine Marie Ivette, Université de Ouagadougou (BFA)
  • Guelly Kutzo-Atsu, Université de Lomé (TGO)
  • Ramamonjisoa Lolona, SNGF (MDG)
  • Thomas Darren, Double Helix Tracking Technology (SGP)
  • Guichoux Erwan, INRA (FRA)
  • Loo Judy, Bioversity International (ITA)
  • Degen Bernd, Thünen Institute of Forest Genetics (DEU) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/595029/)

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