ITA-NOA   24624
INSTITUTO DE TECNOLOGIA AGROINDUSTRIAL DEL NOROESTE ARGENTINO
Unidad Ejecutora - UE
artículos
Título:
Genome-wide association mapping of quantitative traits in a breeding population of sugarcane
Autor/es:
RACEDO, J.; S. OSTENGO; M. F. PERERA; B. WELIN ; M. I. CUENYA; L. GUTIERREZ; E. M. PARDO; A. P. CASTAGNARO
Revista:
BMC PLANT BIOLOGY
Editorial:
BioMed Central
Referencias:
Año: 2016 vol. 16
ISSN:
1471-2229
Resumen:
Background: Molecular markers associated with relevant agronomic traits could significantly reduce the time andcost involved in developing new sugarcane varieties. Previous sugarcane genome-wide association analyses (GWAS)have found few molecular markers associated with relevant traits at plant-cane stage. The aim of this study was toestablish an appropriate GWAS to find molecular markers associated with yield related traits consistent acrossharvesting seasons in a breeding population. Sugarcane clones were genotyped with DArT (Diversity ArrayTechnology) and TRAP (Target Region Amplified Polymorphism) markers, and evaluated for cane yield (CY) andsugar content (SC) at two locations during three successive crop cycles. GWAS mapping was applied within a novelmixed-model framework accounting for population structure with Principal Component Analysis scores as randomcomponent.Results: A total of 43 markers significantly associated with CY in plant-cane, 42 in first ratoon, and 41 in secondratoon were detected. Out of these markers, 20 were associated with CY in 2 years. Additionally, 38 significantassociations for SC were detected in plant-cane, 34 in first ratoon, and 47 in second ratoon. For SC, one marker-traitassociation was found significant for the 3 years of the study, while twelve markers presented association for2 years. In the multi-QTL model several markers with large allelic substitution effect were found. Sequences of fourDArT markers showed high similitude and e-value with coding sequences of Sorghum bicolor, confirming the highgene microlinearity between sorghum and sugarcane.Conclusions: In contrast with other sugarcane GWAS studies reported earlier, the novel methodology to analyzemulti-QTLs through successive crop cycles used in the present study allowed us to find several markers associatedwith relevant traits. Combining existing phenotypic trial data and genotypic DArT and TRAP markercharacterizations within a GWAS approach including population structure as random covariates may prove to behighly successful. Moreover, sequences of DArT marker associated with the traits of interest were aligned inchromosomal regions where sorghum QTLs has previously been reported. This approach could be a valuable toolto assist the improvement of sugarcane and better supply sugarcane demand that has been projected for theupcoming decades.