Agritrop
Accueil

The groundnut improvement network for Africa (GINA) germplasm collection: A unique genetic resource for breeding and gene discovery

Conde Soukeye, Rami Jean-François, Okello David K., Sambou Aissatou, Muitia Amade, Oteng-Frimpong Richard, Makweti Lutangu, Sako Dramane, Faye Issa, Chintu Justus, Coulibaly Adama M., Miningou Amos, Asibuo James Y., Konaté A., Banla Essohouna M., Seye Maguette, Djiboune Yvette Rachelle, Tossim Hodo-Abalo, Sylla Samba, Hoisington David, Clevenger Josh, Chu Ye, Tallury Shyam, Ozias-Akins Peggy, Foncéka Daniel. 2023. The groundnut improvement network for Africa (GINA) germplasm collection: A unique genetic resource for breeding and gene discovery. G3 - Genes Genomes Genetics, 14 (1):jkad244, 12 p.

Article de revue ; Article de recherche ; Article de revue à facteur d'impact Revue en libre accès total
[img]
Prévisualisation
Version publiée - Anglais
Sous licence Licence Creative Commons.
jkad244.pdf

Télécharger (5MB) | Prévisualisation

Url - autres données associées : https://peanutbase.org/gigwa

Résumé : Cultivated peanut or groundnut (Arachis hypogaea L.) is a grain legume grown in many developing countries by smallholder farmers for food, feed, and/or income. The speciation of the cultivated species, that involved polyploidization followed by domestication, greatly reduced its variability at the DNA level. Mobilizing peanut diversity is a prerequisite for any breeding program for overcoming the main constraints that plague production and for increasing yield in farmer fields. In this study, the Groundnut Improvement Network for Africa assembled a collection of 1,049 peanut breeding lines, varieties, and landraces from 9 countries in Africa. The collection was genotyped with the Axiom_Arachis2 48K SNP array and 8,229 polymorphic single nucleotide polymorphism (SNP) markers were used to analyze the genetic structure of this collection and quantify the level of genetic diversity in each breeding program. A supervised model was developed using dapc to unambiguously assign 542, 35, and 172 genotypes to the Spanish, Valencia, and Virginia market types, respectively. Distance-based clustering of the collection showed a clear grouping structure according to subspecies and market types, with 73% of the genotypes classified as fastigiata and 27% as hypogaea subspecies. Using STRUCTURE, the global structuration was confirmed and showed that, at a minimum membership of 0.8, 76% of the varieties that were not assigned by dapc were actually admixed. This was particularly the case of most of the genotype of the Valencia subgroup that exhibited admixed genetic heritage. The results also showed that the geographic origin (i.e. East, Southern, and West Africa) did not strongly explain the genetic structure. The gene diversity managed by each breeding program, measured by the expected heterozygosity, ranged from 0.25 to 0.39, with the Niger breeding program having the lowest diversity mainly because only lines that belong to the fastigiata subspecies are used in this program. Finally, we developed a core collection composed of 300 accessions based on breeding traits and genetic diversity. This collection, which is composed of 205 genotypes of fastigiata subspecies (158 Spanish and 47 Valencia) and 95 genotypes of hypogaea subspecies (all Virginia), improves the genetic diversity of each individual breeding program and is, therefore, a unique resource for allele mining and breeding.

Mots-clés Agrovoc : amélioration des plantes, variation génétique, Arachis hypogaea, germoplasme, génotype, marqueur génétique, collection de matériel génétique, amélioration génétique, variété, polymorphisme génétique, génétique des populations

Mots-clés géographiques Agrovoc : Sénégal, Afrique occidentale, Afrique, Niger

Mots-clés libres : Groundnut improvement, Breeding, Germplasm diversity, Genotyping, Core collection, Network

Classification Agris : F30 - Génétique et amélioration des plantes

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Agences de financement hors UE : United States Agency for International Development, University of Georgia

Auteurs et affiliations

  • Conde Soukeye, CIRAD-BIOS-UMR AGAP (FRA)
  • Rami Jean-François, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-5679-3877
  • Okello David K., National Semi-Arid Resources Research (UGA)
  • Sambou Aissatou, CERAAS (SEN)
  • Muitia Amade, Agrarian Research Institute of Mozambique (MOZ)
  • Oteng-Frimpong Richard, CSIR (GHA)
  • Makweti Lutangu, Zambia Agriculture Research Institute (ZMB)
  • Sako Dramane, IER (MLI)
  • Faye Issa, ISRA (SEN)
  • Chintu Justus, Chitedze Agricultural Research Service (MWI)
  • Coulibaly Adama M., INRAN (NER)
  • Miningou Amos, INERA (BFA)
  • Asibuo James Y., CSIR (GHA)
  • Konaté A., INERA (BFA)
  • Banla Essohouna M., ITRA (TGO)
  • Seye Maguette, CERAAS (SEN)
  • Djiboune Yvette Rachelle, CERAAS (SEN)
  • Tossim Hodo-Abalo, CERAAS (SEN)
  • Sylla Samba, UCAD (SEN)
  • Hoisington David, University of Georgia (USA)
  • Clevenger Josh, HudsonAlpha Institute for Biotechnology (USA)
  • Chu Ye, University of Georgia (USA)
  • Tallury Shyam, Plant Genetic Resources Conservation Unit (USA)
  • Ozias-Akins Peggy, University of Georgia (USA)
  • Foncéka Daniel, CIRAD-BIOS-UMR AGAP (SEN) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/608372/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-07-30 ]