ArticleProceedings of the National Academy of Sciences of the United States of America2010
Bacterial strategies for chemotaxis response.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.
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Who cites it
82 citing papers in PubMed.
- Stochastic modeling of long-legged ant A. gracilipes locomotion in laboratory experiments.PLoS computational biology · 2026Article
- Dual chemotaxis strategy of bacteria in porous media: Run-time and turn-angle bias.Biophysical journal · 2026Article
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- Analyzing an organism's sensors using Maximum Entropy (MaxEnt) models with bias, variance, and confusion matrices.PloS one · 2026Article
- Movement Mechanisms Harness Lévy Flight for Energy-Efficient Wastewater Treatment in Microalgae-Bacteria Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- ChemotaxingArXiv · 2025Article
- ChemotaxingbioRxiv : the preprint server for biology · 2025Article
- Biodegradation of p-nitrophenol by Rhodococcus sp. 21391 unveils a two-component p-nitrophenol monooxygenase with broad substrate specificity.Microbial cell factories · 2025Article
- Coarse-graining bacterial diffusion in disordered media to surface states.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Temporal Contrastive Learning through implicit non-equilibrium memory.Nature communications · 2025Article
- Slower swimming promotes chemotactic encounters between bacteria and small phytoplankton.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Walk this way: modeling foraging ant dynamics in multiple food source environments.Journal of mathematical biology · 2024Article
- Learning optimal integration of spatial and temporal information in noisy chemotaxis.PNAS nexus · 2024Article
- Smart active particles learn and transcend bacterial foraging strategies.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Harnessing synthetic active particles for physical reservoir computing.Nature communications · 2024Article
- Morphology-Tailored Dynamic State Transition in Active-Passive Colloidal Assemblies.Research (Washington, D.C.) · 2024Article
- Multiflagellarity leads to the size-independent swimming speed of peritrichous bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Trade-offs between cost and information in cellular prediction.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Acquisition of Type I methyltransferase via horizontal gene transfer increases the drug resistance ofMicrobial genomics · 2023Article
22 more citing papers are in PubMed but not listed here.
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2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regular environmental conditions allow for the evolution of specifically adapted responses, whereas complex environments usually lead to conflicting requirements upon the organism's response. A relevant instance of these issues is bacterial chemotaxis, where the evolutionary and functional reasons for the experimentally observed response to chemoattractants remain a riddle. Sensing and motility requirements are in fact optimized by different responses, which strongly depend on the chemoattractant environmental profiles. It is not clear then how those conflicting requirements quantitatively combine and compromise in shaping the chemotaxis response. Here we show that the experimental bacterial response corresponds to the maximin strategy that ensures the highest minimum uptake of chemoattractants for any profile of concentration. We show that the maximin response is the unique one that always outcompetes motile but nonchemotactic bacteria. The maximin strategy is adapted to the variable environments experienced by bacteria, and we explicitly show its emergence in simulations of bacterial populations in a chemostat. Finally, we recast the contrast of evolution in regular vs. complex environments in terms of minimax vs. maximin game-theoretical strategies. Our results are generally relevant to biological optimization principles and provide a systematic possibility to get around the need to know precisely the statistics of environmental fluctuations.
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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.