info:eu-repo/semantics/article
Linkage map development by GBS, SSR, and SRAP techniques and yield-related QTLs in pea
Fecha
2019-04Registro en:
Guindon, María Fernanda; Martin, Eugenia Alejandra; Cravero, Vanina Pamela; Gali, Krishna K.; Warkentin, Thomas D.; et al.; Linkage map development by GBS, SSR, and SRAP techniques and yield-related QTLs in pea; Springer; Molecular Breeding; 39; 4; 4-2019; 1-16
1380-3743
CONICET Digital
CONICET
Autor
Guindon, María Fernanda
Martin, Eugenia Alejandra
Cravero, Vanina Pamela
Gali, Krishna K.
Warkentin, Thomas D.
Cointry Peix, Enrique Luis
Resumen
The knowledge of the genetic basis of yield-related traits provides useful information for pea (Pisum sativum L.) breeding. The aim of this work was to develop a genetic linkage map of pea using SRAP (sequence-related amplified polymorphism), SSR (simple sequence repeat), and SNP (single-nucleotide polymorphism) markers and to identify QTLs (quantitative trait loci) controlling yield-related traits. An F2 mapping population and their F2:3 families were derived from an initial cross between cvs. Explorer and DDR14. The F2 individuals were evaluated with SRAP, SSR, and GBS techniques, which proved to be efficient, generating a set of 872 polymorphic markers for linkage mapping. The resulting map consisted of 128 genetic markers distributed in 9 linkage groups (LGs), covering 655.5 cM. The length of the LGs ranged from 49.1 to 114.8 cM, with 8 to 26 markers. QTL detection was performed using the composite interval mapping (CIM) method. A total of 45 QTLs were detected through the generations and environments evaluated. All of them were major QTLs that explain more than 10% of the phenotypic variation. The comparison among QTLs detected in the F2 population and F2:3 families in the two environments allowed assessing the consistency of two QTLs for pod width. On the other hand, the analysis of previous works allowed the identification of a common region in LG 3 associated with seed weight in different crosses and environments.