Using genotyping-by-sequencing to understand Musa diversity : [P449]

Chan Agnes P., Perrier Xavier, Sardos Julie, Jenny Christophe, Jacquemoud-Collet Jean-Pierre, Roux Nicolas, Town Christopher. 2014. Using genotyping-by-sequencing to understand Musa diversity : [P449]. In : Plant and Animal Genomes Conference XXII Conference, San diego, United States, San Diego, United States, January 11-15, 2014. s.l. : s.n., Résumé Plant and Animal Genome Conference. 22, San Diego, États-Unis, 11 Janvier 2014/15 Janvier 2014.

Résumé : This project is part of a larger effort to apply genomics technologies to assess genetic diversity and to advance genetic improvement efforts in Musa (banana and plantain), a major staple food crop in the developing world. Most cultivated varieties of bananas result from intra- or inter-specific crosses of the wild diploid species, Musa acuminata (A genome) and Musa balbisiana (B genome). Somaclonal mutation and human selection has resulted in current day bananas with a wide morphological diversity. The Cavendish (AAA) subgroups are believed to have derived from an individual unique initial genotype, and similarly for the subgroup plantain (AAB). However, little or no genetic diversity can be detected within these groups using conventional molecular markers such as RFLP, SSR, DArT. To assess genetic diversity with an improved resolution, we have selected 65 accessions with diploid and triploid combinations of the A and/or B genomes including AAB plantains and AAA Cavendish, and cultivated or wild Musa accessions from the core collection at the Global Musa Genomics Consortium (GMGC) (http://www.musagenomics.org). We have used a high-throughput reduced representation genome sequencing approach - genotyping-by-sequencing (GBS) to obtain high density sequence markers. Genotypes are determined for each diploid and triploid accession, and dissimilarity computed across all accessions. We will discuss the value of GBS markers to characterize the genetic diversity of individual Musa subgroups with high resolution. This work is funded by the USAID linkage funds. (Texte intégral)

Classification Agris : F30 - Génétique et amélioration des plantes
F70 - Taxonomie végétale et phyto-géographie

Auteurs et affiliations

• Chan Agnes P., JCVI (USA)
• Perrier Xavier, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-0092-003X
• Sardos Julie, Bioversity International (FRA)
• Jenny Christophe, CIRAD-BIOS-UMR AGAP (FRA)
• Jacquemoud-Collet Jean-Pierre, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0001-8754-565X
• Roux Nicolas, Bioversity International (FRA)
• Town Christopher, The J. Craig Venter Institute (USA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/573249/)

Métriques

[ Page générée et mise en cache le 2019-10-05 ]