Predicting plasmid persistence in microbial communities by coarse-grained modeling.

Journal Article (Journal Article)

Plasmids are a major type of mobile genetic elements (MGEs) that mediate horizontal gene transfer. The stable maintenance of plasmids plays a critical role in the functions and survival for microbial populations. However, predicting and controlling plasmid persistence and abundance in complex microbial communities remain challenging. Computationally, this challenge arises from the combinatorial explosion associated with the conventional modeling framework. Recently, a plasmid-centric framework (PCF) has been developed to overcome this computational bottleneck. This framework enables the derivation of a simple metric, the persistence potential, to predict plasmid persistence and abundance. Here, we discuss how PCF can be extended to account for plasmid interactions. We also discuss how such model-guided predictions of plasmid fates can benefit from the development of new experimental tools and data-driven computational methods.

Full Text

Duke Authors

Cited Authors

  • Wang, T; Weiss, A; Ha, Y; You, L

Published Date

  • September 2021

Published In

Volume / Issue

  • 43 / 9

Start / End Page

  • e2100084 -

PubMed ID

  • 34278591

Pubmed Central ID

  • PMC8822872

Electronic International Standard Serial Number (EISSN)

  • 1521-1878

International Standard Serial Number (ISSN)

  • 0265-9247

Digital Object Identifier (DOI)

  • 10.1002/bies.202100084

Language

  • eng