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Conde S, Rami JF, Okello DK, Sambou A, Muitia A, Oteng-Frimpong R, Makweti L, Sako D, Faye I, Chintu J, Coulibaly AM, Miningou A, Asibuo JY, Konate M, Banla EM, Seye M, Djiboune YR, Tossim HA, Sylla SN, Hoisington D, Clevenger J, Chu Y, Tallury S, Ozias-Akins P, Fonceka D. The groundnut improvement network for Africa (GINA) germplasm collection: a unique genetic resource for breeding and gene discovery. G3 (BETHESDA, MD.) 2023; 14:jkad244. [PMID: 37875136 PMCID: PMC10755195 DOI: 10.1093/g3journal/jkad244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 08/22/2023] [Accepted: 10/03/2023] [Indexed: 10/26/2023]
Abstract
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.
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Affiliation(s)
- Soukeye Conde
- ISRA, Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal
- UMR AGAP, CIRAD, 34398 Montpellier, France
- CIRAD, INRAE, AGAP, University Montpellier, Institut Agro, 34398 Montpellier, France
- F.S.T., Département de B.V., Université Cheikh Anta Diop, BP 5005 Dakar, Senegal
| | - Jean-François Rami
- UMR AGAP, CIRAD, 34398 Montpellier, France
- CIRAD, INRAE, AGAP, University Montpellier, Institut Agro, 34398 Montpellier, France
| | - David K Okello
- National Semi-Arid Resources Research Institute-Serere, PO Box 56, Kampala, Uganda
| | - Aissatou Sambou
- ISRA, Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal
| | - Amade Muitia
- Mozambique Agricultural Research Institute (Instituto de Investigação Agrária de Moçambique), Northeast Zonal Centre, Nampula Research Station, PO Box 1922, Nampula, Mozambique
| | - Richard Oteng-Frimpong
- Groundnut Improvement Program, Council for Scientific and Industrial Research (CSIR)-Savanna Agricultural Research Institute, PO Box 52, Tamale, Ghana
| | - Lutangu Makweti
- Zambia Agriculture Research Institute (ZARI), PO Box 510089, Chipata, Zambia
| | - Dramane Sako
- Institut d’Economie Rurale (IER), Centre Régional de Recherche Agronomique (CRRA), BP 281 Kayes, Mali
| | - Issa Faye
- ISRA, Institut Sénégalais de Recherches Agricoles, Centre National de Recherche Agronomique, BP 53 Bambey, Sénégal
| | - Justus Chintu
- Chitedze Agricultural Research Service, PO Box 158, Lilongwe, Malawi
| | - Adama M Coulibaly
- Institut National de Recherche Agronomique du Niger (INRAN), BP 240 Maradi, Niger
| | - Amos Miningou
- INERA, CREAF, 01 BP 476 Ouagadougou 01, Burkina Faso
| | - James Y Asibuo
- Council for Scientific and Industrial Research-Crops Research Institute (CSIR-CRI), P.O. Box 3785, Kumasi, Ghana
| | - Moumouni Konate
- INERA, DRREA-Ouest, 01 BP 910 Bobo Dioulasso 01, Burkina Faso
| | - Essohouna M Banla
- Institut Togolais de Recherche Agronomique (ITRA), 13BP267 Lome, Togo
| | - Maguette Seye
- ISRA, Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal
| | - Yvette R Djiboune
- ISRA, Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal
| | - Hodo-Abalo Tossim
- ISRA, Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal
| | - Samba N Sylla
- F.S.T., Département de B.V., Université Cheikh Anta Diop, BP 5005 Dakar, Senegal
| | - David Hoisington
- Feed the Future Innovation Lab for Peanut, College of Agricultural and Environmental Sciences, University of Georgia, Athens, GA 30602, USA
| | - Josh Clevenger
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Ye Chu
- Institute of Plant Breeding Genetics and Genomics and Department of Horticulture, College of Agricultural and Environmental Sciences, University of Georgia, Tifton, GA 31793, USA
| | - Shyam Tallury
- Plant Genetic Resources Conservation Unit, Griffin, GA 30223, USA
| | - Peggy Ozias-Akins
- Institute of Plant Breeding Genetics and Genomics and Department of Horticulture, College of Agricultural and Environmental Sciences, University of Georgia, Tifton, GA 31793, USA
| | - Daniel Fonceka
- ISRA, Centre d’Etudes Régional pour l’Amélioration de l’Adaptation à la Sécheresse, CERAAS-Route de Khombole, Thiès BP 3320, Senegal
- UMR AGAP, CIRAD, 34398 Montpellier, France
- CIRAD, INRAE, AGAP, University Montpellier, Institut Agro, 34398 Montpellier, France
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Sun Z, Zheng Z, Qi F, Wang J, Wang M, Zhao R, Liu H, Xu J, Qin L, Dong W, Huang B, Han S, Zhang X. Development and evaluation of the utility of GenoBaits Peanut 40K for a peanut MAGIC population. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2023; 43:72. [PMID: 37786866 PMCID: PMC10542084 DOI: 10.1007/s11032-023-01417-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/07/2023] [Indexed: 10/04/2023]
Abstract
Population and genotype data are essential for genetic mapping. The multi-parent advanced generation intercross (MAGIC) population is a permanent mapping population used for precisely mapping quantitative trait loci. Moreover, genotyping-by-target sequencing (GBTS) is a robust high-throughput genotyping technology characterized by its low cost, flexibility, and limited requirements for information management and support. In this study, an 8-way MAGIC population was constructed using eight elite founder lines. In addition, GenoBaits Peanut 40K was developed and utilized for the constructed MAGIC population. A subset (297 lines) of the MAGIC population at the S2 stage was genotyped using GenoBaits Peanut 40K. Furthermore, these lines and the eight parents were analyzed in terms of pod length, width, area, and perimeter. A total of 27 single nucleotide polymorphisms (SNPs) were revealed to be significantly associated with peanut pod size-related traits according to a genome-wide association study. The GenoBaits Peanut 40K provided herein and the constructed MAGIC population will be applicable for future research to identify the key genes responsible for important peanut traits. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-023-01417-w.
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Affiliation(s)
- Ziqi Sun
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Zheng Zheng
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Feiyan Qi
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Juan Wang
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Mengmeng Wang
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Ruifang Zhao
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Hua Liu
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Jing Xu
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Li Qin
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Wenzhao Dong
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Bingyan Huang
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Suoyi Han
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
| | - Xinyou Zhang
- Institute of Crop Molecular Breeding, Henan Academy of Agricultural Sciences/The Shennong Laboratory/State Industrial Innovation Center of Biological Breeding/Key Laboratory of Oil Crops in Huang-Huai-Hai Plains, Ministry of Agriculture/Henan Provincial Key Laboratory for Oil Crops Improvement, Zhengzhou, Henan China
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