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Modeling endosymbioses: Insights and hypotheses from theoretical approaches.
Souza, Lucas Santana; Solowiej-Wedderburn, Josephine; Bonforti, Adriano; Libby, Eric.
Afiliação
  • Souza LS; Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden.
  • Solowiej-Wedderburn J; Integrated Science Lab, Umeå University, Umeå, Sweden.
  • Bonforti A; Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden.
  • Libby E; Integrated Science Lab, Umeå University, Umeå, Sweden.
PLoS Biol ; 22(4): e3002583, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38598454
ABSTRACT
Endosymbiotic relationships are pervasive across diverse taxa of life, offering key avenues for eco-evolutionary dynamics. Although a variety of experimental and empirical frameworks have shed light on critical aspects of endosymbiosis, theoretical frameworks (mathematical models) are especially well-suited for certain tasks. Mathematical models can integrate multiple factors to determine the net outcome of endosymbiotic relationships, identify broad patterns that connect endosymbioses with other systems, simplify biological complexity, generate hypotheses for underlying mechanisms, evaluate different hypotheses, identify constraints that limit certain biological interactions, and open new lines of inquiry. This Essay highlights the utility of mathematical models in endosymbiosis research, particularly in generating relevant hypotheses. Despite their limitations, mathematical models can be used to address known unknowns and discover unknown unknowns.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simbiose / Modelos Teóricos Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simbiose / Modelos Teóricos Idioma: En Ano de publicação: 2024 Tipo de documento: Article