A Meta Analysis of Whole-Body and Heart Mass Effect Sizes From a Long-Term Artificial Selection Experiment for High Voluntary Exercise

Abstract

Effect sizes are a quantitative measure of the magnitude and direction of a phenomenon. These estimates can be compiled across multiple studies to summarize the weight of evidence for a particular alternative hypothesis, which is generally termed a meta-analysis. A meta-analytic approach allows one to summarize information from a wide array of similar studies and reach conclusions that may not be apparent on a case-by-case basis (e.g., to determine the overall effectiveness of a drug). Meta-analyses may be particularly useful in selection experiments, where the magnitude of a correlated response is necessarily expected to increase across generations, perhaps eventually reaching a plateau. Here, we examined the effect of artificial selection for high voluntary wheel running on heart mass in mice, which was expected to increase with selection for aerobic exercise behavior. The experiment spans nearly 30 years and 100 generations. All 4 of the replicate High Runner (HR) lines reached selection limits around generations 17-27, running approximately 2.5-3-fold more revolutions per day than the 4 non-selected Control (C) lines. These selection limits cannot be explained simply by a complete loss of heritability. Functional studies have tried to elucidate subordinate traits that affect motivational and/or ability for endurance exercise and have shown that HR mice differ from C in several other behavioral, physiological, and morphological traits. Several studies of heart ventricle mass have reported larger values in HR mice (with body mass as a covariate), but the differences often do not reach statistical significance (p<0.05). We compiled Least-Square Means, standard errors, F-statistics, degrees of freedom, and p-values from multiple studies. We also recorded pertinent information, such as: covariates used, age, generation, and whether other main effects were present (e.g., sex, wheel access). We calculated a common measure of effect size (Pearson’s R) and associated confidence intervals. This work is part of a larger meta-analysis to quantify effects of selection on various traits across multiple levels of biological organization. Preliminary results indicate that, despite a lack of statistical significance in many generations, HR mice have evolved larger hearts and smaller bodies relative to Controls. Moreover, a plateau in effect sizes for both of these traits coincide with the generational range during which the selection limit for wheel-running behavior was reached. NSF IOS-2038528. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.