2024/12/17 by Michelle L. Gaynor, Nicholas Kortessis, Douglas E. Soltis +2 · 1 voice · 10 citations
Biochemistry, Genetics and Molecular Biology · Environmental Science · Mathematics · #Biology #Dynamics (music) #Ecology #Ecosystem dynamics and resilience #Evolution and Genetic Dynamics #Evolutionary biology #Genetics #Geography #Morphological variations and asymmetry #Ploidy #Sociology
paper · doi:10.1086/734411
published in The American Naturalist 205(4), 413-434 (University of Chicago Press)
openalex publication_date 2024/12/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30
AbstractThe population dynamics of autopolyploids-organisms with more than two genome copies of a single species-and their diploid progenitors have been extensively studied. The acquisition of multiple genome copies is heavily influenced by stochasticity, which strongly suggests the efficacy of a probabilistic approach to examine the long-term dynamics of a population with multiple cytotypes. Yet our current understanding of the dynamics of autopolyploid populations has not incorporated stochastic population dynamics and coexistence theory. To investigate the factors contributing to the probability and stability of coexisting cytotypes, we designed a new population dynamics model that incorporates demographic and environmental stochasticities to simulate the formation, establishment, and persistence of diploids, triploids, and autotetraploids in the face of gene flow among cytotypes. We found that increased selfing rates and pronounced reproductive isolation promote coexistence of multiple cytotypes. In stressful environments and with strong competitive effects among cytotypes, these dynamics are more complex; our stochastic modeling approach reveals the resulting intricacies that give autotetraploids competitive advantage over their diploid progenitors. Our work is foundational for a better understanding of the dynamics of coexistence of multiple cytotypes.