Intermediate light adaptation induces oscillatory phototaxis switching and pattern formation in Chlamydomonas

成果类型:
Article
署名作者:
Wang, Zhao; Tsang, Alan C. H.
署名单位:
University of Hong Kong
刊物名称:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN:
0027-10110
DOI:
10.1073/pnas.2425369122
发表日期:
2025-06-17
关键词:
flagellar photoresponses cells held motion MODEL microorganisms micropipettes dominance BEHAVIOR stimuli
摘要:
Biological microswimmers exhibit intricate taxis behaviors in response to environmental stimuli and swim in complex trajectories to navigate their environment. How microswimmers respond to stimulus instantaneously, and how adaptation to stimulus influences their long-term behavioral changes, remains largely unclear. Here, we report an oscillatory phototaxis observed in Chlamydomonas reinhardtii at intermediate light intensities, where cells swim back-and-forth under a constant, unidirectional light stimulus due to alternation between positive and negative phototaxis. The phototaxis switching can be captured by the change in phase relationship between eyespot and helical swimming. Oscillatory phototaxis of individual cells leads to a global pattern of millimeter-scale propagating density bands that persists for similar to 30 min. High-speed imaging and long-time tracking experiments at single-cell level verify a unified phototaxis mechanism that couples light detection, light adaptation, flagella responses, and behavioral switching. By experimentally tracking steady swimming and transient turning states, we verify that phototaxis transition is achieved via the modulation of flagella waveforms and flagella phase difference, which can be captured by a hydrodynamic model accounting for photoresponses. Adaptation acts effectively as an oscillator damper to mediate multipurpose tasking across multiple system levels (subcellular flagella beats, oscillatory phototaxis, colonial pattern formation) and timescales (from milliseconds to over 30 min). This adaptive phototaxis mechanism provides a comprehensive understanding of how microswimmers achieve complex behavioral changes across multiple temporal scales with a single sensor-actuator circuit featuring relatively simple adaptive feedback responses.