ArticleBiophysical journal2003
Model of bacterial band formation in aerotaxis.
Article in Biophysical journal, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 56 citations in OpenAlex.
- Escape motility of multicellular magnetotactic prokaryotes.Journal of the Royal Society, Interface · 2024Article
- Bacterial bioconvection confers context-dependent growth benefits and is robust under varying metabolic and genetic conditions.Journal of bacteriology · 2023Article
- Collective self-optimization of communicating active particles.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Chemotaxis in external fields: Simulations for active magnetic biological matter.PLoS computational biology · 2019Article
- Effects of Substrate-Coating Materials on the Wound-Healing Process.Materials (Basel, Switzerland) · 2019Article
- Modeling aerotaxis band formation in Azospirillum brasilense.BMC microbiology · 2019Article
- Connecting single-cell properties to collective behavior in multiple wild isolates of the Enterobacter cloacae complex.PloS one · 2019Article
- Optogenetic Manipulation of Cyclic Di-GMP (c-di-GMP) Levels Reveals the Role of c-di-GMP in Regulating Aerotaxis Receptor Activity in Azospirillum brasilense.Journal of bacteriology · 2017Article
- Gravireceptors in eukaryotes-a comparison of case studies on the cellular level.NPJ microgravity · 2017Article
- Logarithmic sensing inNPJ systems biology and applications · 2017Article
- The Helicobacter pylori CZB Cytoplasmic Chemoreceptor TlpD Forms an Autonomous Polar Chemotaxis Signaling Complex That Mediates a Tactic Response to Oxidative Stress.Journal of bacteriology · 2016Article
- The role of motility and chemotaxis in the bacterial colonization of protected surfaces.Scientific reports · 2016Article
- Angle sensing in magnetotaxis of Magnetospirillum magneticum AMB-1.Integrative biology : quantitative biosciences from nano to macro · 2014Article
- Diversity of magneto-aerotactic behaviors and oxygen sensing mechanisms in cultured magnetotactic bacteria.Biophysical journal · 2014Article
- Influence of magnetic fields on magneto-aerotaxis.PloS one · 2014Article
- Studies of bacterial aerotaxis in a microfluidic device.Lab on a chip · 2012Article
- Mathematical description of bacterial traveling pulses.PLoS computational biology · 2010Article
- Quantifying the magnetic advantage in magnetotaxis.Biophysical journal · 2006Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aerotaxis is a particular form of "energy taxis". It is based on a largely elusive signal transduction machinery. In aerotaxis, oxygen dissolved in water plays the role of both attractant (at moderate concentrations) and repellent (at high and low concentrations). Cells swimming from favorable oxygen concentrations into regions with unfavorable concentrations increase the frequency of reversals, turn back into the favorable domain, and become effectively trapped there. At the same time, bacteria consume oxygen, creating an oxygen gradient. This behavior leads to a pattern formation phenomenon: bacteria self-organize into a dense band at a certain distance from the air-water interface. We incorporate experimental observations of the aerotactic bacterium, Azospirillum brasilense, into a mathematical model. The model consists of a system of differential equations describing swimming bacterial cells and diffusing oxygen. The cells' frequency of reversals depends on the concentration of oxygen and its time derivative while oxygen is depleted by the bacteria. We suggest a hypothetical model of energy sensing mediated by aerotactic receptors Aer and Tsr. Computer simulations and analysis of the model equations allow comparisons of theoretical and experimental results and provide insight into the mechanisms of bacterial pattern formation and underlying signal transduction machinery. We make testable predictions about position and density of the bacterial band.
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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.