Cenci Alberto, Martin Guillaume, Breton Catherine, D'Hont Angélique, Yahiaoui Nabila, Sardos Julie, Rouard Mathieu. 2023. Visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar (gold finger) with genome ancestry mosaic painting. Horticulturae, 9 (12), n.spéc. Developments in the Genetics and Breeding of Banana Species:1330, 11 p.
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Url - jeu de données - Entrepôt autre : https://www.ncbi.nlm.nih.gov/sra/?term=SRR7205563 / Url - jeu de données - Entrepôt autre : https://www.ncbi.nlm.nih.gov/sra/?term=SRR720568 / Url - jeu de données - Entrepôt autre : https://www.ncbi.nlm.nih.gov/sra/?term=SRR7205753 / Url - jeu de données - Entrepôt autre : https://www.ncbi.nlm.nih.gov/sra/?term=SRR7205936
Résumé : Banana breeding faces numerous challenges, such as sterility and low seed viability. Enhancing our understanding of banana genetics, notably through next-generation sequencing, can help mitigate these challenges. The genotyping datasets currently available from genebanks were used to decipher cultivated bananas' genetic makeup of natural cultivars using genome ancestry mosaic painting. This article presents the application of this method to breeding materials by analyzing the chromosome segregation at the origin of 'Gold Finger' (FHIA-01), a successful improved tetraploid variety that was developed in the 1980s. First, the method enabled us to clarify the variety's intricate genetic composition from ancestral wild species. Second, it enabled us to infer the parental gametes responsible for the formation of this hybrid. It thus revealed 16 recombinations in the haploid male gamete and 10 in the unreduced triploid female gamete. Finally, we could deduce the meiotic mechanism lying behind the transmission of unreduced gametes (i.e., FDR). While we show that the method is a powerful tool for the visualization and inference of gametic contribution in hybrids, we also discuss its advantages and limitations to advance our comprehension of banana genetics in a breeding context.
Mots-clés Agrovoc : génome, Musa (bananes), Musa, méiose, chromosome, amélioration génétique, recombinaison, variété, banque de gènes, tétraploïdie, méthode d'amélioration génétique, bioinformatique
Mots-clés libres : Musa, Genome ancestry mosaic painting, Meiosis, Gametes, Breeding, Bioinformatics
Classification Agris : F30 - Génétique et amélioration des plantes
Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques
Agences de financement hors UE : Consortium of International Agricultural Research Centers
Auteurs et affiliations
- Cenci Alberto, CIRAD-BIOS-UMR AGAP (FRA) - auteur correspondant
- Martin Guillaume, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-1801-7500
- Breton Catherine, CIRAD-BIOS-UMR AGAP (FRA)
- D'Hont Angélique, CIRAD-BIOS-UMR AGAP (FRA)
- Yahiaoui Nabila, CIRAD-BIOS-UMR AGAP (FRA)
- Sardos Julie, CIRAD-BIOS-UMR AGAP (FRA)
- Rouard Mathieu, CIRAD-BIOS-UMR AGAP (FRA) - auteur correspondant
Source : Cirad-Agritrop (https://agritrop.cirad.fr/608872/)
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