Estimating Trait Heritability in Highly Fecund Species

Area of Science:

• Quantitative genetics
• Marine biology
• Ecology

Background:

• Estimating heritability in nonmodel organisms is challenging due to logistical constraints and lack of pedigree information.
• Existing methods struggle with group effects and statistical power, especially for highly fecund species.

Purpose of the Study:

• To develop an empirical and computational methodology for estimating narrow-sense heritability in highly fecund species.
• To address experimental and statistical challenges in heritability estimation for nonmodel organisms.

Main Methods:

• Developed a novel experimental approach to minimize culture numbers and control for culturing effects.
• Implemented a statistical approach using permutation tests for significance and including fitting/power calculations.
• Utilized the R package multiDimBio for data analysis and methodology implementation.

Main Results:

• The new methodology enhances the feasibility of heritability studies in the field.
• Demonstrated that asymptotic p-values from likelihood ratio tests can be overly conservative, reducing statistical power.
• Successfully estimated the narrow-sense heritability for larval settlement in the coral Orbicella faveolata.

Conclusions:

• The developed methodology provides a robust framework for heritability estimation in challenging species.
• The study highlights the importance of appropriate statistical methods to avoid underestimating heritability.
• The R package multiDimBio offers a comprehensive tool for researchers in quantitative genetics and marine biology.