Project name: Glycine max

Description: Whole genome sequencing-based bulked segregant analysis (BSA) method has facilitated the mapping of causal variants for a mutant study. However, some difficulties still exist in the previously report methods, such as reducing generations for population preparation, background variants removal. Recently, a new method termed as DMAP-M2(directly mutation mapping analysis pipeline based on the M2 population) was developed. It is an efficient complementary tool for the previously reported approaches such as Mutmap and Mutmap+. DMAP-M2 can identify causal mutations in M2 generation, and helps to reduce at least one generation of selfing as compared to the previous method. Herein, an improved algorithm (absolute value of delta SNP index) was used to overcome the harmful impact of inconsistent linkage phase between the adjacent mutagenic variants in M2 generation. In the current study, DMAP-M2 was proved to be a robust method that maps the regions harboring causal mutations that were successfully determined in all the 10 crosses of soybean mutant. For following researcher, DMAP-M2 can increase the efficiency of mapping of causal mutagenic variants, especially in the species with long generation interval.

Data type: raw sequence reads

Sample scope: Monoisolate

Relevance: Agricultural

Last updated: 2019-04-03