One hundred and six diploids to unravel the genetics of traits in banana: a panel for genome-wide association study and its application to the seedless phenotype. [W075]
Sardos J., Rouard M., Hueber Y., Cenci A., Hyma K.E., Van Den Houwe I., Hribova E., Courtois B., Roux N.. 2016. San Diego : PAG, 1 p.. Plant and Animal Genome Conference, 2016-01-09/2016-01-13, San Diego (Etats-Unis).
Banana is a fruit crop with a complex diversity pattern resulting from a complex domestication scheme. Due to the availability of plant genome sequences and to the accessibility of next-generation genotyping technologies, Genome-Wide Association Studies (GWAS) have been increasingly performed in crop plants as a start to resolve genetic architecture of traits. The GWAS method was developed to perform association studies between phenotypes such as diseases and genotypes in Humans and is now successfully applied to many plants and animals to support the breeding process. However, there are prerequisites for such methods as it has been designed for populations of diploids organisms which follow the mendelian genetics model (i.e. “infinite” population and panmixia). In banana, the most popular cultivars are triploids, often hybrids between different species, and due to the absence of seeds in the fruit, a wide amount of the diversity observed ensues from the clonal diversification of a few initial genotypes. Therefore, the application of such approach to the crop is challenging and innovative. We selected a set of 106 diploid accessions with pure M. acuminata background avoiding clone duplicates and generated the appropriate molecular markers to support GWAS for any given trait. Finally, we validated the approach on the major domestication syndrome in banana, the seedless phenotype, and identified six candidate regions in which are located two strong candidate genes for female sterility. (Texte intégral)
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Agents Cirad, auteurs de cette publication :
- Cenci Alberto — Bios / UMR AGAP
- Rouard Mathieu — Bios / UMR AGAP
- Sardos Julie — Bios / UMR AGAP