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Precise, High-throughput Analysis of Bacterial Growth
Published on: September 19, 2017
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MEASURING SELECTION AND CONSTRAINT IN THE EVOLUTION OF GROWTH
Mark Kirkpatrick1, David Lofsvold1
1Department of Zoology, University of Texas, Austin, TX, 78712, USA.
Summary
Evolutionary growth trajectories are shaped by genetic variation and selection pressures. Constraints in genetic variation may limit how populations evolve their growth patterns, impacting future adaptations.
Area of Science:
- Quantitative genetics
- Evolutionary biology
- Developmental biology
Background:
- Understanding the evolution of growth trajectories is crucial for predicting population dynamics and adaptation.
- Previous models often assumed specific growth curve shapes, limiting their applicability.
- The interplay between genetic variation and selection shapes evolutionary trajectories.
Purpose of the Study:
- To develop a quantitative genetic model for growth trajectory evolution without assuming specific shapes.
- To identify the key genetic and selective factors governing the evolution of growth.
- To investigate potential constraints on evolutionary changes in growth patterns.
Main Methods:
- Developed a flexible quantitative genetic model for growth trajectory evolution.
- Defined the roles of the selection gradient and additive genetic covariance functions.
- Empirically estimated these functions using data from four vertebrate populations and mouse genetic data.
- Utilized computer simulations to explore evolutionary constraints.
Main Results:
- Population mean growth trajectory evolution is determined by selection gradients and additive genetic covariance.
- Selection gradients can be estimated from birth and death rates across ages.
- Additive genetic covariance functions were empirically estimated in four vertebrate populations.
- Computer simulations revealed that lack of genetic variation can constrain growth trajectory evolution.
- Analysis of covariance functions visualized these evolutionary constraints.
- Most evolutionary changes in growth trajectories showed limited or no available genetic variation across populations.
Conclusions:
- Quantitative genetic models can effectively describe growth trajectory evolution without shape assumptions.
- Selection gradients and additive genetic covariance are key determinants of evolutionary growth.
- Genetic variation significantly constrains the evolution of growth trajectories.
- Constraints imposed by limited genetic variation likely play a substantial role in the evolution of growth across diverse species.
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