Analysis of genetic diversity and agronomic variation in banana sub-populations for genomic selection under drought stress in southern Benin

•The Benin banana population represents a sub-population for genomic selection.•Benin banana accessions are affiliated with the triploid genomic groups.•The VcfHunter platform is useful for the development of SNPs in polyploid bananas.•Banana collection in Benin is enriched with 35 additional access...

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Veröffentlicht in:Gene 2023-04, Vol.859, p.147210-147210, Article 147210
Hauptverfasser: Mbo Nkoulou, Luther Fort, Tchinda Ninla, Lauriane Archange, Cros, David, Martin, Guillaume, Ndiang, Zenabou, Houegban, Jordan, Ngalle, Hermine Bille, Bell, Joseph Martin, Achigan-Dako, Enoch G.
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container_title Gene
container_volume 859
creator Mbo Nkoulou, Luther Fort
Tchinda Ninla, Lauriane Archange
Cros, David
Martin, Guillaume
Ndiang, Zenabou
Houegban, Jordan
Ngalle, Hermine Bille
Bell, Joseph Martin
Achigan-Dako, Enoch G.
description •The Benin banana population represents a sub-population for genomic selection.•Benin banana accessions are affiliated with the triploid genomic groups.•The VcfHunter platform is useful for the development of SNPs in polyploid bananas.•Banana collection in Benin is enriched with 35 additional accessions. In the perspective of investigating genomic selection (GS) among Musa genotypes in West and Central Africa, banana accessions were phenotyped under natural drought stress in Benin and genotyped using genotyping by sequencing. Sixty-one (61) accessions grouped into three major genomic groups AAA, AAB and ABB and those without genomic affiliation information were used. Variation within the population was determined by phenotypic variables while population structure and clustering analysis were carried out to understand the genetic diversity at the molecular level. Among the genomic groups evaluated, the group AAB showed the best performance for fruit weight at maturity, (3.41 ± 1.99 kg) and for plant height (198.46 ± 12.66 cm). At the accession level, HD 117 S1 and NIA 27 showed the best plant height (263.16 ± 20.98 cm) and the best fruit weight at maturity (9.43 ± 0.0 kg) respectively. Phenotypic data did not reveal clear genetic diversity among accessions; however, the genetic diversity was conspicuous at the molecular level using 5000 markers. The affiliations of local accessions in genomic groups were determined for the first time based on the phenotypic and molecular data obtained in this study. The knowledge generated allows the possibility to apply GS in banana.
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In the perspective of investigating genomic selection (GS) among Musa genotypes in West and Central Africa, banana accessions were phenotyped under natural drought stress in Benin and genotyped using genotyping by sequencing. Sixty-one (61) accessions grouped into three major genomic groups AAA, AAB and ABB and those without genomic affiliation information were used. Variation within the population was determined by phenotypic variables while population structure and clustering analysis were carried out to understand the genetic diversity at the molecular level. Among the genomic groups evaluated, the group AAB showed the best performance for fruit weight at maturity, (3.41 ± 1.99 kg) and for plant height (198.46 ± 12.66 cm). At the accession level, HD 117 S1 and NIA 27 showed the best plant height (263.16 ± 20.98 cm) and the best fruit weight at maturity (9.43 ± 0.0 kg) respectively. Phenotypic data did not reveal clear genetic diversity among accessions; however, the genetic diversity was conspicuous at the molecular level using 5000 markers. The affiliations of local accessions in genomic groups were determined for the first time based on the phenotypic and molecular data obtained in this study. 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In the perspective of investigating genomic selection (GS) among Musa genotypes in West and Central Africa, banana accessions were phenotyped under natural drought stress in Benin and genotyped using genotyping by sequencing. Sixty-one (61) accessions grouped into three major genomic groups AAA, AAB and ABB and those without genomic affiliation information were used. Variation within the population was determined by phenotypic variables while population structure and clustering analysis were carried out to understand the genetic diversity at the molecular level. Among the genomic groups evaluated, the group AAB showed the best performance for fruit weight at maturity, (3.41 ± 1.99 kg) and for plant height (198.46 ± 12.66 cm). At the accession level, HD 117 S1 and NIA 27 showed the best plant height (263.16 ± 20.98 cm) and the best fruit weight at maturity (9.43 ± 0.0 kg) respectively. Phenotypic data did not reveal clear genetic diversity among accessions; however, the genetic diversity was conspicuous at the molecular level using 5000 markers. The affiliations of local accessions in genomic groups were determined for the first time based on the phenotypic and molecular data obtained in this study. The knowledge generated allows the possibility to apply GS in banana.</description><subject>Banana accessions</subject><subject>Benin</subject><subject>Drought</subject><subject>Droughts</subject><subject>Genetic diversity</subject><subject>Genetic Variation</subject><subject>Genetics</subject><subject>Genomic selection</subject><subject>Genomics</subject><subject>Life Sciences</subject><subject>Musa - genetics</subject><subject>Plants genetics</subject><subject>Single nucleotide polymorphism</subject><issn>0378-1119</issn><issn>1879-0038</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc2O0zAURi0EYsrAC7BAXsIixT-JE0tsyghmkCqxgbXl2Netq9QudlKp7zAPjdMMs8ReWLo-9yy-D6H3lKwpoeLzYb2DAGtGGF_TumWUvEAr2rWyIoR3L9GK8LarKKXyBr3J-UDKaRr2Gt1wITpKpFyhx03QwyX7jKPDs270Blt_hpT9eME6WKx3KYZ4LPOzTl6PPgbsA-51KBfnqa9O8TQN14-MXUyz58pnGMBc-SlYSNimOO32I85jgpxnSY7TuIcU8FcIPrxFr5weMrx7em_R7-_fft09VNuf9z_uNtvK1LweK2tdbxrtGKs11a1rJKVOEmcY513tgHVMMG6shF4WhknRNj3TzJiWEmg4v0WfFu9eD-qU_FGni4raq4fNVs0zUteSMEHOtLAfF_aU4p8J8qiOPhsYBh0gTlmxVnSsJkKIgrIFNSnmnMA9uylRc2PqoOaI1dyYWhorSx-e_FN_BPu88q-iAnxZACiJnD0klY2HYMD6VNJVNvr_-f8C5-SpRg</recordid><startdate>20230405</startdate><enddate>20230405</enddate><creator>Mbo Nkoulou, Luther Fort</creator><creator>Tchinda Ninla, Lauriane Archange</creator><creator>Cros, David</creator><creator>Martin, Guillaume</creator><creator>Ndiang, Zenabou</creator><creator>Houegban, Jordan</creator><creator>Ngalle, Hermine Bille</creator><creator>Bell, Joseph Martin</creator><creator>Achigan-Dako, Enoch G.</creator><general>Elsevier B.V</general><general>Elsevier</general><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>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-8601-7991</orcidid></search><sort><creationdate>20230405</creationdate><title>Analysis of genetic diversity and agronomic variation in banana sub-populations for genomic selection under drought stress in southern Benin</title><author>Mbo Nkoulou, Luther Fort ; 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1879-0038
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subjects Banana accessions
Benin
Drought
Droughts
Genetic diversity
Genetic Variation
Genetics
Genomic selection
Genomics
Life Sciences
Musa - genetics
Plants genetics
Single nucleotide polymorphism
title Analysis of genetic diversity and agronomic variation in banana sub-populations for genomic selection under drought stress in southern Benin
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