ArticleNature communications2019
Bacterial hopping and trapping in porous media.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.
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Who cites it
83 citing papers in PubMed.
- Article
- Cellular scale search and funneling drive bacterial penetration of extreme confinements.Communications physics · 2026Article
- Dual chemotaxis strategy of bacteria in porous media: Run-time and turn-angle bias.Biophysical journal · 2026Article
- Study of wrap mode impact on Pseudomonas aeruginosa motion in the chemotactic field of fungi.NPJ systems biology and applications · 2026Article
- Emerging roles of mJournal of assisted reproduction and genetics · 2026Review
- A universal scaling law for active diffusion in complex media.Nature communications · 2026Article
- c-di-GMP-mediated pause behavior enablesApplied and environmental microbiology · 2026Article
- Living Hydrogels: Harnessing Microorganism-Material Synergy for Next-Generation Therapeutics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Article
- Perspective on "Active Brownian particles moving in a random Lorentz gas".The European physical journal. E, Soft matter · 2026Article
- A nutrient bottleneck controls antibiotic efficacy in structured bacterial populations.Nature communications · 2026Article
- Characterizing Spatiotemporal Expansion of Pseudomonas aeruginosa Communities in Polymer and Mucin Gel Environments.Biotechnology and bioengineering · 2026Article
- Article
- Lives in a gram of soil: linking life cycle biology to soil ecology.The ISME journal · 2026Review
- Selective Trapping of Bacteria in Porous Media by Cell Length.Integrative and comparative biology · 2026Article
- Spatial self-organization of confined bacterial suspensions.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Physics of microbial taxis and behaviours in response to various physical stimuli.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Review
- Dynamic reciprocal morphological changes in insect hosts and bacterial symbionts.The Journal of experimental biology · 2025Article
- Dissecting the physics of bacterial biofilms with agent-based simulations.Current opinion in solid state & materials science · 2025Article
- Bacterial swimming in porous gels exhibits intermittent run motility with active turns and mechanical trapping.Scientific reports · 2025Article
23 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diverse processes-e.g. bioremediation, biofertilization, and microbial drug delivery-rely on bacterial migration in disordered, three-dimensional (3D) porous media. However, how pore-scale confinement alters bacterial motility is unknown due to the opacity of typical 3D media. As a result, models of migration are limited and often employ ad hoc assumptions. Here we reveal that the paradigm of run-and-tumble motility is dramatically altered in a porous medium. By directly visualizing individual Escherichia coli, we find that the cells are intermittently and transiently trapped as they navigate the pore space, exhibiting diffusive behavior at long time scales. The trapping durations and the lengths of "hops" between traps are broadly distributed, reminiscent of transport in diverse other disordered systems; nevertheless, we show that these quantities can together predict the long-time bacterial translational diffusivity. Our work thus provides a revised picture of bacterial motility in complex media and yields principles for predicting cellular migration.
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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.