1. Using Networks to Connect Individual-Level Reproductive Behavior to Population Patterns
- Author
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Georgy А. Semenov, Elizabeth S. C. Scordato, Rebecca J. Safran, Amanda K. Hund, Molly T. McDermott, Iris I. Levin, Sheela P. Turbek, and Bailey K. Fosdick
- Subjects
Gene Flow ,0106 biological sciences ,0303 health sciences ,education.field_of_study ,Reproductive Isolation ,Genetic Speciation ,Population ,Reproductive behavior ,Reproductive Behavior ,Reproductive isolation ,Biology ,Individual level ,Biological Evolution ,010603 evolutionary biology ,01 natural sciences ,03 medical and health sciences ,Phenotype ,Hybrid zone ,Evolutionary biology ,education ,Ecology, Evolution, Behavior and Systematics ,Selection (genetic algorithm) ,030304 developmental biology ,Network analysis - Abstract
We propose an application of network analysis to determine which traits and behaviors predict fertilizations within and between populations. This approach quantifies how reproductive behavior between individuals shapes patterns of selection and gene flow, filling an important gap in our understanding of the connection between evolutionary processes and emergent patterns.
- Published
- 2019
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