Publications des scientifiques de l'IRD

Moumouni K. H., Kountche B. A., Jean M., Hash C. T., Vigouroux Yves, Haussmann B. I. G., Belzile F. (2015). Construction of a genetic map for pearl millet, Pennisetum glaucum (L.) R. Br., using a genotyping-by-sequencing (GBS) approach. Molecular Breeding, 35 (1), p. art. 5 [10 p.]. ISSN 1380-3743.

Titre du document
Construction of a genetic map for pearl millet, Pennisetum glaucum (L.) R. Br., using a genotyping-by-sequencing (GBS) approach
Année de publication
2015
Type de document
Article référencé dans le Web of Science WOS:000348418700005
Auteurs
Moumouni K. H., Kountche B. A., Jean M., Hash C. T., Vigouroux Yves, Haussmann B. I. G., Belzile F.
Source
Molecular Breeding, 2015, 35 (1), p. art. 5 [10 p.] ISSN 1380-3743
Pearl millet is the main component of traditional farming systems and a staple grain in the diet of sub-Saharan Africa and India. To facilitate breeding work in this crop, a genetic map consisting of single nucleotide polymorphism (SNP) markers was constructed using an F-2 population of 93 progenies, from a wild x cultivated pearl millet cross. We used a modified genotyping-by-sequencing (GBS) protocol involving two restriction enzymes (PstI-MspI) and PCR amplification with primers including three selective bases to generate 3,321 SNPs. Of these, 2,809 high-quality SNPs exhibited a minor allele frequency >= 0.3. In total, 314 non-redundant haplotypes and 85 F-2 individuals were used to construct a genetic map spanning a total distance of 640 cM. These SNPs were evenly distributed over seven linkage groups ranging considerably in size (62-123 cM). The average density for this map was 0.51 SNP/cM, and the average interval between SNP markers was 2.1 (+/- 0.6) cM. Finally, to establish bridges between the linkage groups of this and previous maps, 19 SSR markers were examined for polymorphism between the parents of this population. We could only tentatively suggest a correspondence between four of our linkage groups and those of previous maps. Overall, GBS enabled us to quickly produce a genetic map with a density and uniformity of markers greater than previously published maps. The availability of such a map will be useful for the identification of genomic regions associated with Striga resistance and other important agronomic traits.
Plan de classement
Sciences du monde végétal [076]
Description Géographique
AFRIQUE SUBSAHARIENNE ; INDE
Localisation
Fonds IRD [F B010063913]
Identifiant IRD
fdi:010063913
Contact