A guide to modeling plasmid co-infection dynamics
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912343929126912 |
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| author | Siedentop, Berit Huisman, Jana S. Igler, Claudia |
| author_facet | Siedentop, Berit Huisman, Jana S. Igler, Claudia |
| contents | Mobile genetic elements like conjugative plasmids play a crucial role in shaping the genetic content and population dynamics of bacterial species. Bacterial populations often contain not one, but multiple co-circulating MGEs, which modify each other's population dynamics in a myriad of ways. Mathematical modeling is a powerful tool to gain intuition about the expected eco-evolutionary dynamics in a biological system with many interacting players. Here, we detail how to develop a mathematical model of plasmid co-infection, how to implement this computationally, and we give examples of what can be learned from such models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_17085 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A guide to modeling plasmid co-infection dynamics Siedentop, Berit Huisman, Jana S. Igler, Claudia Populations and Evolution Mobile genetic elements like conjugative plasmids play a crucial role in shaping the genetic content and population dynamics of bacterial species. Bacterial populations often contain not one, but multiple co-circulating MGEs, which modify each other's population dynamics in a myriad of ways. Mathematical modeling is a powerful tool to gain intuition about the expected eco-evolutionary dynamics in a biological system with many interacting players. Here, we detail how to develop a mathematical model of plasmid co-infection, how to implement this computationally, and we give examples of what can be learned from such models. |
| title | A guide to modeling plasmid co-infection dynamics |
| topic | Populations and Evolution |
| url | https://arxiv.org/abs/2504.17085 |