Application of partial least squares in exploring the genome selection signatures between populations.

ABSTRACT: Natural and artificial selection have led to substantial variation in the phenotypic traits of different populations. Therefore, there is a need to develop methods that are based on cross-population comparisons to discover loci related to specific traits. Here, we suggested a strategy to detect the genome selection signatures between populations based on the partial least squares (PLS) theory. Using the binary population indicator as the response variable in the PLS analysis, alleles under selection between populations were identified from the first PLS component. We explored the theory behind the PLS analysis to reveal its usefulness in detecting the loci under selection. Through the simulation study, the results showed that the PLS method had a better performance than the F_ST

SUBMITTER: Sun H 

PROVIDER: S-EPMC6460753 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature