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Publicação
Fitness landscapes for predicting evolution between environments
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Autores
Ghenu, Ana-Hermina
Orientador(es)
Resumo(s)
Prediction of evolution is an ambitious undertaking that would consolidate knowledge from all fields of biology for the benefit of global health and biodiversity. Although prediction has been a foundational goal of population genetics theory, this goal is obstructed by the common simplifying assumptions of absent or weak genetic interactions (G⇥G), gene-by-environment interac tions (G⇥E), and higher-order epistasis-by-environment inter actions (G⇥G⇥E). This thesis examines the challenges posed by genetic and environmental interactions to the goal of predict ing evolution. Fitness landscapes models are brought to bear on data from both wild populations and laboratory conditions in order to investigate the predictability of two pressing issues:
species-level biodiversity and antibiotic resistance evolution.
Descrição
Palavras-chave
Genetic environment evolution