Composite selection signals can localize the trait specific genomic regions in multi-breed populations of cattle and sheep.

ABSTRACT:

Background

Discerning the traits evolving under neutral conditions from those traits evolving rapidly because of various selection pressures is a great challenge. We propose a new method, composite selection signals (CSS), which unifies the multiple pieces of selection evidence from the rank distribution of its diverse constituent tests. The extreme CSS scores capture highly differentiated loci and underlying common variants hauling excess haplotype homozygosity in the samples of a target population.

Results

The data on high-density genotypes were analyzed for evidence of an association with either polledness or double muscling in various cohorts of cattle and sheep. In cattle, extreme CSS scores were found in the candidate regions on autosome BTA-1 and BTA-2, flanking the P

SUBMITTER: Randhawa IA 

PROVIDER: S-EPMC4101850 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature