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Protocol for an agent-based model of recombination in bacteria playing a public goods game.
Lee, Isaiah Paolo A; Eldakar, Omar Tonsi; Gogarten, J Peter; Andam, Cheryl P.
Afiliação
  • Lee IPA; Department of Molecular, Cellular and Biomedical Sciences, University of New Hampshire, Durham, NH 03824, USA; National Institute of Molecular Biology and Biotechnology, University of the Philippines, Diliman 1101, Philippines. Electronic address: ialee1@up.edu.ph.
  • Eldakar OT; Department of Biological Sciences, Nova Southeastern University, Fort Lauderdale, FL 33328, USA.
  • Gogarten JP; Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT 06269, USA.
  • Andam CP; Department of Biological Sciences, University at Albany, State University of New York, Albany, NY 12222, USA. Electronic address: candam@albany.edu.
STAR Protoc ; 4(4): 102733, 2023 Dec 15.
Article em En | MEDLINE | ID: mdl-37980566
ABSTRACT
Agent-based models are composed of individual agents coded for traits, such as cooperation and cheating, that interact in a virtual world based on defined rules. Here, we describe the use of an agent-based model of homologous recombination in bacteria playing a public goods game. We describe steps for software installation, setting model parameters, running and testing models, and visualization and statistical analysis. This protocol is useful in analyses of horizontal gene transfer, bacterial sociobiology, and game theory. For complete details on the use and execution of this protocol, please refer to Lee et al.1.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Teoria dos Jogos Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bactérias / Teoria dos Jogos Idioma: En Ano de publicação: 2023 Tipo de documento: Article