Molecular genetic approach for identifying markers associated with yield traits in the silkworm, Bombyx mori using RFLP-STS primers.

Bombyx mori, the mulberry silkworm, exhibits wide variability in yield and developmental attributes. The genetics of yield expression, shown to be of polygenic nature, is poorly studied in silkworm. To identify markers associated with 10 selected yield traits, multiple regression analysis (MRA) and discriminant function analysis (DFA) were applied on 64 markers generated with eight RFLP-derived sequence-tagged-site (STS) primers on the genomic DNA of 20 silkworm stocks of different origin and diverse yield potential. The analyses led to the identification of ten markers showing significant association with the different yield traits. The markers could classify the stocks according to yield potential, irrespective of their origin and status of diapause. Trait means were significantly different for stocks with and with out the associated marker. The inheritance of a marker G2(1300bp), selected at the first step of MRA for five yield traits was shown to segregate in 1:1 ratio in the F2 progeny from a cross between two divergent stocks. The relevance of the STS primers is discussed in the context of applying multiple regression model for identifying markers associated with yield expression and suitability for molecular breeding work in B. mori for yield improvement.