INVESTIGADORES
CASTAGNARO Atilio Pedro
congresos y reuniones científicas
Título:
Genome-wide association mapping of quantitative traits in a breeding population of sugarcane
Autor/es:
JOSEFINA RACEDO; LUCIA GUTIERREZ; MARIA FRANCISCA PERERA; SANTIAGO OSTENGO; ESTEBAN MARIANO PARDO; MARIA INES CUENYA; BJORN WELIN; ATILIO PEDRO CASTAGNARO
Reunión:
Workshop; 8th Molecular Biology Workshop ISSCT (International Society of Sugar Cane Technologist); 2015
Resumen:
Development of new sugarcane varieties with high biomass and sugar yield is essential to supply the increasing demand of this crop. The aim of this study was to establish an appropriate genome-wide association (GWA) analysis to detect molecular markers associated with high biomass and sugar yield. Clones of a local breeding population were evaluated for cane yield (CY) and sugar content (SC) at two contrasting locations during three successive crop cycles and genotyped with molecular markers (DArT and TRAP). GWA mapping was applied within a mixed-model framework considering the possible population structure by using Principal Component Analysis to minimize spurious associations. Sequences from sugarcane DArT markers significantly associated with traits were used to determine their similarity and position on sorghum genome. Markers significantly associated with CY and SC in plant-cane, ratoon-1 and ratoon-2, respectively, were detected. The high gene microlinearity between sorghum and sugarcane was confirmed since sequences of sugarcane DArT markers showed high similitude and e-value with coding sequences of Sorghum bicolor. Even more, sequences of DArT marker associated with trait of interest were aligned in sorghum chromosomal regions where QTLs has been previously reported. The methodology presented in this work that combines existing phenotypic trial data and genotypic marker characterizations within a Linkage Disequilibrium (LD) approach including population structure as covariates has proven to be highly profitable to find molecular markers significantly associated with the measured traits. In that sense, this approach could be a valuable tool to assist the sugarcane improvement to better supply the sugarcane demand that has been projected for the upcoming decades.