Exact expressions and numerical evaluation of average evolvability measures for characterizing and comparing [Formula: see text] matrices.

ABSTRACT: Theory predicts that the additive genetic covariance ([Formula: see text]) matrix determines a population's short-term (in)ability to respond to directional selection-evolvability in the Hansen-Houle sense-which is typically quantified and compared via certain scalar indices called evolvability measures. Often, interest is in obtaining the averages of these measures across all possible selection gradients, but explicit formulae for most of these average measures have not been known. Previous authors relied either on approximations by the delta method, whose accuracy is generally unknown, or Monte Carlo evaluations (including the random skewers analysis), which necessarily involve random fluctuations. This study presents new, exact expressions for the average conditional evolvability, avera

SUBMITTER: Watanabe J 

PROVIDER: S-EPMC10203032 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature