The paper:
D. Falush et al., “Inference of population structure using multilocus genotype data: dominant markers and null alleles,” Mol Ecol Notes, 7:574–78, 2007. (Cited in 91 papers)
The finding:
University College Cork’s Daniel Falush and the University of Chicago’s Jonathan Pritchard updated a widely used computer program called STRUCTURE that clusters organisms into populations based on multilocus genotype data to tease apart cryptic species or ancestral history. The researchers “added a little whistle on the program,” says Pritchard, by including dominant genetic markers, which make differentiating between homozygous and heterozygous genotypes.
The impact:
The software’s improvement was especially important to researchers who rely on dominant markers and who study organisms without sequenced genomes, says Noah Rosenberg, a population geneticist at the University of Michigan, Ann Arbor.
The application:
Using STRUCTURE and dominant markers called amplified fragment length polymorphisms, University of Colorado at Boulder evolutionary biologist Patrik Nosil revealed genetic ...
