Phenotypic Variability Shapes Bacterial Responses to Opposing Gradients
- 1. Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China
- 2. Department of Systems Biology, Harvard Medical School, Boston, Massachusetts 02115, USA
- 3. Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA
- 4. The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing 100871, China
- 5. IBM T. J. Watson Research Center, Yorktown Heights, New York 10598, USA
- 6. Wenzhou Institute University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China
Description
Although bacterial chemotaxis behavior in a single gradient has been well studied, chemotaxis of bacterial population in complex environments is not well understood. Here, we discovered four distinct behaviors of Escherichia coli populations in microfluidic experiments with different opposing gradients of MeAsp and serine. By using a population chemotaxis model based on the dynamics of intracellular signaling pathways, we found that the nongenetic variability of the relevant chemoreceptors (Tar and Tsr) within the population is responsible for the diverse population behaviors. Through analyses combining the phenotype-to-performance mapping and Tar/Tsr ratio distribution, we predicted the phase diagram of population chemotaxis behaviors under varying chemical gradients and the effect of growth period on population behaviors, which were verified by additional experiments. Our study suggests that phenotypic heterogeneity in chemoreceptors enables diverse chemotactic strategies, which cells may adopt to improve their population fitness in complex environments.
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10.1103_PRXLife.2.013001.pdf
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Additional details
Identifiers
- DOI
- 10.1103/PRXLife.2.013001;
- Crossref Funder ID
- 10.13039/501100012166; 10.13039/501100001809; 10.13039/100000002;
Publishing Information
- Journal Title
- PRX Life
- Journal Volume
- 2
- Journal Issue
- 1
- Journal Page Range
- 9 pgs.
- ISSN
- 2835-8279
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- Subject category
- S60: APPLIED LIFE SCIENCES; S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- BACTERIA; BIOLOGICAL ADAPTATION; CHEMORECEPTORS; COMPLEXES; DISTRIBUTION; ENVIRONMENT; ESCHERICHIA COLI; HUMAN POPULATIONS; PERFORMANCE; PHASE DIAGRAMS; PHENOTYPE; PLANT CELLS; PLANT GROWTH; POPULATIONS; SERINE; VARIATIONS
- Descriptors DEC
- AMINO ACIDS; BACTERIA; CARBOXYLIC ACIDS; DIAGRAMS; GROWTH; HYDROXY ACIDS; INFORMATION; MICROORGANISMS; ORGANIC ACIDS; ORGANIC COMPOUNDS; POPULATIONS
Optional Information
- Contract/Grant/Project number
- 2020YFA0906900; 2018YFA0900700; 2021YFF1200500; 11974002; 12374203; 12090054; R35GM131734
- Notes
- Contact Email: Corresponding author: yuhai@us.ibm.com; Contact Email: Corresponding author: pkuluocx@pku.edu.cn; Record automatically processed
- Funding organization
- National Key Research and Development Program of China; National Natural Science Foundation of China; National Institutes of Health