Visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar (Gold Finger) with genome ancestry mosaic painting

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 cultiv...

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Autores principales: Cenci, Alberto, Martin, Guillaume, Breton, Catherine, D’Hont, Angélique, Yahiaoui, Nabila, Sardos, Julie, Rouard, Mathieu
Formato: Journal Article
Lenguaje:Inglés
Publicado: MDPI 2023
Materias:
Acceso en línea:https://hdl.handle.net/10568/135575
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author Cenci, Alberto
Martin, Guillaume
Breton, Catherine
D’Hont, Angélique
Yahiaoui, Nabila
Sardos, Julie
Rouard, Mathieu
author_browse Breton, Catherine
Cenci, Alberto
D’Hont, Angélique
Martin, Guillaume
Rouard, Mathieu
Sardos, Julie
Yahiaoui, Nabila
author_facet Cenci, Alberto
Martin, Guillaume
Breton, Catherine
D’Hont, Angélique
Yahiaoui, Nabila
Sardos, Julie
Rouard, Mathieu
author_sort Cenci, Alberto
collection Repository of Agricultural Research Outputs (CGSpace)
description 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.
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spelling CGSpace1355752025-12-08T10:29:22Z Visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar (Gold Finger) with genome ancestry mosaic painting Cenci, Alberto Martin, Guillaume Breton, Catherine D’Hont, Angélique Yahiaoui, Nabila Sardos, Julie Rouard, Mathieu genomics bananas breeding bioinformatics recombination meiosis chromosomes 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. 2023-12-11 2023-12-19T11:08:53Z 2023-12-19T11:08:53Z Journal Article https://hdl.handle.net/10568/135575 en Open Access application/pdf MDPI Cenci, A.; Martin, G.; Breton, C.; D’Hont, A.; Yahiaoui, N.; Sardos, J.; Rouard, M. (2023) Visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar (Gold Finger) with genome ancestry mosaic painting. Horticulturae 9(12): 1330. ISSN: 2311-7524
spellingShingle genomics
bananas
breeding
bioinformatics
recombination
meiosis
chromosomes
Cenci, Alberto
Martin, Guillaume
Breton, Catherine
D’Hont, Angélique
Yahiaoui, Nabila
Sardos, Julie
Rouard, Mathieu
Visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar (Gold Finger) with genome ancestry mosaic painting
title Visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar (Gold Finger) with genome ancestry mosaic painting
title_full Visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar (Gold Finger) with genome ancestry mosaic painting
title_fullStr Visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar (Gold Finger) with genome ancestry mosaic painting
title_full_unstemmed Visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar (Gold Finger) with genome ancestry mosaic painting
title_short Visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar (Gold Finger) with genome ancestry mosaic painting
title_sort visualizing and inferring chromosome segregation in the pedigree of an improved banana cultivar gold finger with genome ancestry mosaic painting
topic genomics
bananas
breeding
bioinformatics
recombination
meiosis
chromosomes
url https://hdl.handle.net/10568/135575
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