Cellular memory in eukaryotic chemotaxis depends on the background chemoattractant concentration.


Journal

Physical review. E
ISSN: 2470-0053
Titre abrégé: Phys Rev E
Pays: United States
ID NLM: 101676019

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 21 06 2020
accepted: 16 12 2020
entrez: 19 2 2021
pubmed: 20 2 2021
medline: 9 10 2021
Statut: ppublish

Résumé

Cells of the social amoeba Dictyostelium discoideum migrate to a source of periodic traveling waves of chemoattractant as part of a self-organized aggregation process. An important part of this process is cellular memory, which enables cells to respond to the front of the wave and ignore the downward gradient in the back of the wave. During this aggregation, the background concentration of the chemoattractant gradually rises. In our microfluidic experiments, we exogenously applied periodic waves of chemoattractant with various background levels. We find that increasing background does not make detection of the wave more difficult, as would be naively expected. Instead, we see that the chemotactic efficiency significantly increases for intermediate values of the background concentration but decreases to almost zero for large values in a switch-like manner. These results are consistent with a computational model that contains a bistable memory module, along with a nonadaptive component. Within this model, an intermediate background level helps preserve directed migration by keeping the memory activated, but when the background level is higher, the directional stimulus from the wave is no longer sufficient to activate the bistable memory, suppressing directed migration. These results suggest that raising levels of chemoattractant background may facilitate the self-organized aggregation in Dictyostelium colonies.

Identifiants

pubmed: 33601617
doi: 10.1103/PhysRevE.103.012402
doi:

Substances chimiques

Chemotactic Factors 0
Cyclic AMP E0399OZS9N

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

012402

Auteurs

Richa Karmakar (R)

Department of Physics, University of California, San Diego, La Jolla, California 92093, USA.

Man-Ho Tang (MH)

Department of Physics, University of California, San Diego, La Jolla, California 92093, USA.

Haicen Yue (H)

Courant Institute for Mathematical Sciences, New York University, New York, New York 10012, USA.

Daniel Lombardo (D)

Department of Physics, University of California, San Diego, La Jolla, California 92093, USA.

Aravind Karanam (A)

Department of Physics, University of California, San Diego, La Jolla, California 92093, USA.

Brian A Camley (BA)

Department of Physics & Astronomy, Department of Biophysics, Johns Hopkins University, Baltimore, Maryland 21218, USA.

Alex Groisman (A)

Department of Physics, University of California, San Diego, La Jolla, California 92093, USA.

Wouter-Jan Rappel (WJ)

Department of Physics, University of California, San Diego, La Jolla, California 92093, USA.

Articles similaires

High-throughput Bronchus-on-a-Chip system for modeling the human bronchus.

Akina Mori, Marjolein Vermeer, Lenie J van den Broek et al.
1.00
Humans Bronchi Lab-On-A-Chip Devices Epithelial Cells Goblet Cells
1.00
Algorithms Computer Simulation Models, Biological Programming Languages Humans
Autophagy Humans Neoplasms Ubiquitination Animals
Humans Amyotrophic Lateral Sclerosis Male Middle Aged Female

Classifications MeSH