ArticlePLoS computational biology2016
Traveling Pulses for a Two-Species Chemotaxis Model.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Spatial self-organization of confined bacterial suspensions.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Self-generated chemotaxis of mixed cell populations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Direct measurement of dynamic attractant gradients reveals breakdown of the Patlak-Keller-Segel chemotaxis model.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Bacterial bioconvection confers context-dependent growth benefits and is robust under varying metabolic and genetic conditions.Journal of bacteriology · 2023Article
- Direct measurement of dynamic attractant gradients reveals breakdown of the Patlak-Keller-Segel chemotaxis model.bioRxiv : the preprint server for biology · 2023Article
- Collective behavior and nongenetic inheritance allow bacterial populations to adapt to changing environments.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- A modular degron library for synthetic circuits in mammalian cells.Nature communications · 2019Article
- Bet-hedging strategies in expanding populations.PLoS computational biology · 2019Article
- Spatial self-organization resolves conflicts between individuality and collective migration.Nature communications · 2018Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical models have been widely used to describe the collective movement of bacteria by chemotaxis. In particular, bacterial concentration waves traveling in a narrow channel have been experimentally observed and can be precisely described thanks to a mathematical model at the macroscopic scale. Such model was derived in [1] using a kinetic model based on an accurate description of the mesoscopic run-and-tumble process. We extend this approach to study the behavior of the interaction between two populations of E. Coli. Separately, each population travels with its own speed in the channel. When put together, a synchronization of the speed of the traveling pulses can be observed. We show that this synchronization depends on the fraction of the fast population. Our approach is based on mathematical analysis of a macroscopic model of partial differential equations. Numerical simulations in comparison with experimental observations show qualitative agreement.
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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.