ArticleNature communications2020
The persistence potential of transferable plasmids.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
25 citing papers in PubMed, 43 citations in OpenAlex.
- Congenital Long QT Syndrome: From Conventional Management to Emerging Biological Therapies.Reviews in cardiovascular medicine · 2026Review
- Nutrition cycling microbiomes drive the succession of antibiotic resistome in long-term manured soils.Journal of advanced research · 2026Article
- The interplay between ecological networks drives host-plasmid community dynamics.PLoS computational biology · 2026Article
- Integrating theory and machine learning to reveal determinants of plasmid copy number.Nature communications · 2026Article
- Dynamical memory underlies prolonged plasmid persistence after transient antibiotic treatment.bioRxiv : the preprint server for biology · 2025Article
- Balancing reaction-diffusion network for cell polarization pattern with stability and asymmetry.eLife · 2025Article
- Spatial entropy drives the maintenance and dissemination of transferable plasmids.Molecular systems biology · 2025Article
- A roadmap to understanding and anticipating microbial gene transfer in soil communities.Microbiology and molecular biology reviews : MMBR · 2025Review
- Linear scaling reveals low-dimensional structure in observable microbial dynamics.bioRxiv : the preprint server for biology · 2025Article
- The Abundance of Viroid-Like RNA Obelisk-S.s in Streptococcus sanguinis SK36 May Suffice for Evolutionary Persistence.Journal of molecular evolution · 2025Article
- Population-level amplification of gene regulation by programmable gene transfer.Nature chemical biology · 2025Article
- A predatory gene drive for targeted control of self-transmissible plasmids.Science advances · 2025Article
- A bayesian approach for parameterizing and predicting plasmid conjugation dynamics.Scientific reports · 2025Article
- The evolutionary landscape of prokaryotic chromosome/plasmid balance.Communications biology · 2024Article
- Data-driven learning of structure augments quantitative prediction of biological responses.PLoS computational biology · 2024Article
- A generic approach to infer community-level fitness of microbial genes.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Programming Dynamic Division of Labor Using Horizontal Gene Transfer.ACS synthetic biology · 2024Article
- Autoencoder neural networks enable low dimensional structure analyses of microbial growth dynamics.Nature communications · 2023Article
- Assessing the nonlinear association of environmental factors with antibiotic resistance genes (ARGs) in the Yangtze River Mouth, China.Scientific reports · 2023Article
- Promotion of plasmid maintenance by heterogeneous partitioning of microbial communities.Cell systems · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Conjugative plasmids can mediate the spread and maintenance of diverse traits and functions in microbial communities. This role depends on the plasmid's ability to persist in a population. However, for a community consisting of multiple populations transferring multiple plasmids, the conditions underlying plasmid persistence are poorly understood. Here, we describe a plasmid-centric framework that makes it computationally feasible to analyze gene flow in complex communities. Using this framework, we derive the 'persistence potential': a general, heuristic metric that predicts the persistence and abundance of any plasmids. We validate the metric with engineered microbial consortia transferring mobilizable plasmids and with quantitative data available in the literature. We believe that our framework and the resulting metric will facilitate a quantitative understanding of natural microbial communities and the engineering of microbial consortia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.