Reducing bias in population and landscape genetic inferences: the effects of sampling related individuals and multiple life stages.

ABSTRACT: In population or landscape genetics studies, an unbiased sampling scheme is essential for generating accurate results, but logistics may lead to deviations from the sample design. Such deviations may come in the form of sampling multiple life stages. Presently, it is largely unknown what effect sampling different life stages can have on population or landscape genetic inference, or how mixing life stages can affect the parameters being measured. Additionally, the removal of siblings from a data set is considered best-practice, but direct comparisons of inferences made with and without siblings are limited. In this study, we sampled embryos, larvae, and adult Ambystoma maculatum from five ponds in Missouri, and analyzed them at 15 microsatellite loci. We calculated allelic richness, heteroz

SUBMITTER: Peterman W 

PROVIDER: S-EPMC4793335 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature