%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Moumouni, K. H.
%A Kountche, B. A.
%A Jean, M.
%A Hash, C. T.
%A Vigouroux, Yves
%A Haussmann, B. I. G.
%A Belzile, F.
%T Construction of a genetic map for pearl millet, Pennisetum glaucum (L.) R. Br., using a genotyping-by-sequencing (GBS) approach
%D 2015
%L fdi:010063913
%G ENG
%J Molecular Breeding
%@ 1380-3743
%K Pearl millet ; Genetic map ; SNP ; Genotyping-by-sequencing
%K AFRIQUE SUBSAHARIENNE ; INDE
%M ISI:000348418700005
%N 1
%P art. 5 [10 ]
%R 10.1007/s11032-015-0212-x
%U https://www.documentation.ird.fr/hor/fdi:010063913
%> https://www.documentation.ird.fr/intranet/publi/2015/03/010063913.pdf
%V 35
%W Horizon (IRD)
%X 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.
%$ 076