RT Journal Article
SR Electronic
T1 The design and analysis of binary variable traits in common garden genetic experiments of highly fecund species to assess heritability
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 018044
DO 10.1101/018044
A1 Sarah W. Davies
A1 Samuel V. Scarpino
A1 Thanapat Pongwarin
A1 James Scott
A1 Mikhail V. Matz
YR 2015
UL http://biorxiv.org/content/early/2015/04/17/018044.abstract
AB Many biologically important traits are binomially distributed, with their key phenotypes being presence or absence. Despite their prevalence, estimating the heritability of binomial traits presents both experimental and statistical challenges. Here we develop both an empirical and computational methodology for estimating the narrow-sense heritability of binary traits for highly fecund species. Our experimental approach controls for undesirable culturing effects, while minimizing culture numbers, increasing feasibility in the field. Our statistical approach accounts for known issues with model-selection by using a permutation test to calculate significance values and includes both fitting and power calculation methods. We illustrate our methodology by estimating the narrow-sense heritability for larval settlement, a key life-history trait, in the reef-building coral Orbicella faveolata. The experimental, statistical and computational methods, along with all of the data from this study, were deployed in the R package multiDimBio.