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

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...

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Veröffentlicht in:G3 : genes - genomes - genetics 2023-12, Vol.14 (1)
Hauptverfasser: 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, Konate, Moumouni, Banla, Essohouna M, Seye, Maguette, Djiboune, Yvette R, Tossim, Hodo-Abalo, Sylla, Samba N, Hoisington, David, Clevenger, Josh, Chu, Ye, Tallury, Shyam, Ozias-Akins, Peggy, Fonceka, Daniel
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creator 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
Konate, Moumouni
Banla, Essohouna M
Seye, Maguette
Djiboune, Yvette R
Tossim, Hodo-Abalo
Sylla, Samba N
Hoisington, David
Clevenger, Josh
Chu, Ye
Tallury, Shyam
Ozias-Akins, Peggy
Fonceka, Daniel
description 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. Speciation of cultivated peanut has greatly reduced its genetic diversity, leading
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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. Speciation of cultivated peanut has greatly reduced its genetic diversity, leading to challenges with crop yield. The Groundnut Improvement Network in Africa (GINA) assemble a collection of 1049 peanut breeding lines, varieties, and landraces from nine African countries and use a high-density SNP array to analyze the genetic structure of the collection and quantify levels of genetic diversity. 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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. Speciation of cultivated peanut has greatly reduced its genetic diversity, leading to challenges with crop yield. The Groundnut Improvement Network in Africa (GINA) assemble a collection of 1049 peanut breeding lines, varieties, and landraces from nine African countries and use a high-density SNP array to analyze the genetic structure of the collection and quantify levels of genetic diversity. The authors develop a core collection of 300 lines based on breeding traits and genetic diversity, sharing it as a resource for breeding and discovery purposes.</description><subject>Africa</subject><subject>Agricultural sciences</subject><subject>Arachis - genetics</subject><subject>Beans</subject><subject>Developing countries</subject><subject>Genes</subject><subject>Genetic Association Studies</subject><subject>Genetic Variation</subject><subject>Legumes</subject><subject>Life Sciences</subject><subject>Mimosaceae</subject><subject>Plant Breeding</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Single nucleotide polymorphisms</subject><issn>2160-1836</issn><issn>2160-1836</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNqNkUFP3DAUhCPUChDlB_RS-QgSC3mJ4zi9RYgC0qq90LNlO8_BS2Jv7QTEuX-8hmxXPdY-2LK-GY89WfYZ8kvIm_KqLzd-Dk4OV5sn2RWUHmTHBbB8BbxkH_7ZH2WnMW7yNKqKMcoOs6Oy5nUFJTvOfj88IumDn13n5onYcRv8M47oJuJwevHhiRgfSGuC1ZKc3d5_b89Jj2HcDjKORPthQD1Z774SSWZnf83JDpPUahIwpoQa3x1UQOys64l03TtBOht1uiu8fso-GjlEPN2tJ9nPbzcP13er9Y_b--t2vdKUF9PKKFZyhYpyCjUqxpSqiibXDWdVV9Wy0lpSYyRwUEbrotRVLhsoFChsct6UJ9n54vsoB7ENdpThVXhpxV27Fm9nOaV1UQN9hsSeLWz6j_SmOIkxxcVhkA79HEXBOdQA0PCEXi5oLwcU1hk_BanT7HC02js0Np23NYeqKBugSQCLQAcfY0CzDwO5eOtW7LsVu26T5ssuz6xG7PaKv00m4GIB_Lz9D78_HgmzIw</recordid><startdate>20231229</startdate><enddate>20231229</enddate><creator>Conde, Soukeye</creator><creator>Rami, Jean-François</creator><creator>Okello, David K</creator><creator>Sambou, Aissatou</creator><creator>Muitia, Amade</creator><creator>Oteng-Frimpong, Richard</creator><creator>Makweti, Lutangu</creator><creator>Sako, Dramane</creator><creator>Faye, Issa</creator><creator>Chintu, Justus</creator><creator>Coulibaly, Adama M</creator><creator>Miningou, Amos</creator><creator>Asibuo, James Y</creator><creator>Konate, Moumouni</creator><creator>Banla, Essohouna M</creator><creator>Seye, Maguette</creator><creator>Djiboune, Yvette R</creator><creator>Tossim, Hodo-Abalo</creator><creator>Sylla, Samba N</creator><creator>Hoisington, David</creator><creator>Clevenger, Josh</creator><creator>Chu, Ye</creator><creator>Tallury, Shyam</creator><creator>Ozias-Akins, Peggy</creator><creator>Fonceka, Daniel</creator><general>Oxford University Press</general><general>Genetics Society of America</general><scope>TOX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-8656-7136</orcidid><orcidid>https://orcid.org/0000-0003-1570-6877</orcidid><orcidid>https://orcid.org/0000-0002-8977-7945</orcidid><orcidid>https://orcid.org/0000-0002-9830-9481</orcidid><orcidid>https://orcid.org/0000-0002-5679-3877</orcidid></search><sort><creationdate>20231229</creationdate><title>The groundnut improvement network for Africa (GINA) germplasm collection: a unique genetic resource for breeding and gene discovery</title><author>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 ; Konate, Moumouni ; Banla, Essohouna M ; Seye, Maguette ; Djiboune, Yvette R ; Tossim, Hodo-Abalo ; Sylla, Samba N ; Hoisington, David ; Clevenger, Josh ; Chu, Ye ; Tallury, Shyam ; Ozias-Akins, Peggy ; Fonceka, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c482t-fb638beb48417eb66bb5290c9865d57a5cca4ffa181bfcc23c50a912b1be90893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Africa</topic><topic>Agricultural sciences</topic><topic>Arachis - genetics</topic><topic>Beans</topic><topic>Developing countries</topic><topic>Genes</topic><topic>Genetic Association Studies</topic><topic>Genetic Variation</topic><topic>Legumes</topic><topic>Life Sciences</topic><topic>Mimosaceae</topic><topic>Plant Breeding</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Single nucleotide polymorphisms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Conde, Soukeye</creatorcontrib><creatorcontrib>Rami, Jean-François</creatorcontrib><creatorcontrib>Okello, David K</creatorcontrib><creatorcontrib>Sambou, Aissatou</creatorcontrib><creatorcontrib>Muitia, Amade</creatorcontrib><creatorcontrib>Oteng-Frimpong, Richard</creatorcontrib><creatorcontrib>Makweti, Lutangu</creatorcontrib><creatorcontrib>Sako, Dramane</creatorcontrib><creatorcontrib>Faye, Issa</creatorcontrib><creatorcontrib>Chintu, Justus</creatorcontrib><creatorcontrib>Coulibaly, Adama M</creatorcontrib><creatorcontrib>Miningou, Amos</creatorcontrib><creatorcontrib>Asibuo, James Y</creatorcontrib><creatorcontrib>Konate, Moumouni</creatorcontrib><creatorcontrib>Banla, Essohouna M</creatorcontrib><creatorcontrib>Seye, Maguette</creatorcontrib><creatorcontrib>Djiboune, Yvette R</creatorcontrib><creatorcontrib>Tossim, Hodo-Abalo</creatorcontrib><creatorcontrib>Sylla, Samba N</creatorcontrib><creatorcontrib>Hoisington, David</creatorcontrib><creatorcontrib>Clevenger, Josh</creatorcontrib><creatorcontrib>Chu, Ye</creatorcontrib><creatorcontrib>Tallury, Shyam</creatorcontrib><creatorcontrib>Ozias-Akins, Peggy</creatorcontrib><creatorcontrib>Fonceka, Daniel</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>G3 : genes - genomes - genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Conde, Soukeye</au><au>Rami, Jean-François</au><au>Okello, David K</au><au>Sambou, Aissatou</au><au>Muitia, Amade</au><au>Oteng-Frimpong, Richard</au><au>Makweti, Lutangu</au><au>Sako, Dramane</au><au>Faye, Issa</au><au>Chintu, Justus</au><au>Coulibaly, Adama M</au><au>Miningou, Amos</au><au>Asibuo, James Y</au><au>Konate, Moumouni</au><au>Banla, Essohouna M</au><au>Seye, Maguette</au><au>Djiboune, Yvette R</au><au>Tossim, Hodo-Abalo</au><au>Sylla, Samba N</au><au>Hoisington, David</au><au>Clevenger, Josh</au><au>Chu, Ye</au><au>Tallury, Shyam</au><au>Ozias-Akins, Peggy</au><au>Fonceka, Daniel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The groundnut improvement network for Africa (GINA) germplasm collection: a unique genetic resource for breeding and gene discovery</atitle><jtitle>G3 : genes - genomes - genetics</jtitle><addtitle>G3 (Bethesda)</addtitle><date>2023-12-29</date><risdate>2023</risdate><volume>14</volume><issue>1</issue><issn>2160-1836</issn><eissn>2160-1836</eissn><abstract>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. Speciation of cultivated peanut has greatly reduced its genetic diversity, leading to challenges with crop yield. The Groundnut Improvement Network in Africa (GINA) assemble a collection of 1049 peanut breeding lines, varieties, and landraces from nine African countries and use a high-density SNP array to analyze the genetic structure of the collection and quantify levels of genetic diversity. The authors develop a core collection of 300 lines based on breeding traits and genetic diversity, sharing it as a resource for breeding and discovery purposes.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>37875136</pmid><doi>10.1093/g3journal/jkad244</doi><orcidid>https://orcid.org/0000-0001-8656-7136</orcidid><orcidid>https://orcid.org/0000-0003-1570-6877</orcidid><orcidid>https://orcid.org/0000-0002-8977-7945</orcidid><orcidid>https://orcid.org/0000-0002-9830-9481</orcidid><orcidid>https://orcid.org/0000-0002-5679-3877</orcidid><oa>free_for_read</oa></addata></record>
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source Oxford Journals Open Access Collection; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central
subjects Africa
Agricultural sciences
Arachis - genetics
Beans
Developing countries
Genes
Genetic Association Studies
Genetic Variation
Legumes
Life Sciences
Mimosaceae
Plant Breeding
Polymorphism, Single Nucleotide
Single nucleotide polymorphisms
title The groundnut improvement network for Africa (GINA) germplasm collection: a unique genetic resource for breeding and gene discovery
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