Viscosity-dependent swimming patterns assist <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi mathvariant="italic">Aliivibrio</mml:mi></mml:mrow></mml:math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow>

Bacteria employ diverse swimming patterns for chemotaxis, influenced by factors including flagellar arrangements, motor rotation, flagellar filament configurations, and polymorphism. Understanding the chemotactic strategy of in locating a squid partner is paramount for comprehending this highly species-specific symbiosis. In this study, we applied three-dimensional swimming tracking and real-time visualization of lophotrichous flagellar configurations. These techniques unveiled viscosity-dependent transitions in swimming patterns, shifting from push-pull to push-wrap modes. Notably, our research also revealed coupled flagellar switching and polymorphic transformations during the wrap mode, significantly extending 's backward swimming duration and, consequently, its overall runtime. This strategic adaptation allows to broaden its effective search range, particularly within high-viscosity environments like the squid light organ. In response to attractants, the coupling rate is reduced to facilitate efficient short-range searching. These innovative chemotactic strategies ensure precise navigation for in locating and colonizing its symbiotic partner, the squid . Published by the American Physical Society 2024

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Publication Details

Journal
Physical Review Research
Published
2024-08-26
DOI
https://doi.org/10.1103/physrevresearch.6.033214
Citations
6
Primary Topic
Vibrio bacteria research studies
Type
article
Field-Weighted Citation Impact
3.70

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article

Viscosity-dependent swimming patterns assist <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi mathvariant="italic">Aliivibrio</mml:mi></mml:mrow></mml:math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow>

Chao-Kai Tseng, Chien‐Jung Lo, Xiang‐Yu Zhuang
6 citations
Physical Review Research
Vibrio bacteria research studies
3.70
article

Viscosity-dependent swimming patterns assist <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi mathvariant="italic">Aliivibrio</mml:mi></mml:mrow></mml:math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow>

Chao-Kai Tseng, Chien‐Jung Lo, Xiang‐Yu Zhuang
article en
6 citations

Abstract

Bacteria employ diverse swimming patterns for chemotaxis, influenced by factors including flagellar arrangements, motor rotation, flagellar filament configurations, and polymorphism. Understanding the chemotactic strategy of in locating a squid partner is paramount for comprehending this highly species-specific symbiosis. In this study, we applied three-dimensional swimming tracking and real-time visualization of lophotrichous flagellar configurations. These techniques unveiled viscosity-dependent transitions in swimming patterns, shifting from push-pull to push-wrap modes. Notably, our research also revealed coupled flagellar switching and polymorphic transformations during the wrap mode, significantly extending 's backward swimming duration and, consequently, its overall runtime. This strategic adaptation allows to broaden its effective search range, particularly within high-viscosity environments like the squid light organ. In response to attractants, the coupling rate is reduced to facilitate efficient short-range searching. These innovative chemotactic strategies ensure precise navigation for in locating and colonizing its symbiotic partner, the squid . Published by the American Physical Society 2024

Physical Review ResearchVol. 6(3)
National Central University (TW), Institute of Physics, Academia Sinica (TW)
National Center for Theoretical Sciences
Life below water
Openalex Percentile: Top 8%
Vibrio bacteria research studies
3.70
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Viscosity-dependent swimming patterns assist <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi mathvariant="italic">Aliivibrio</mml:mi></mml:mrow></mml:math> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow> — Chao-Kai Tseng, Chien‐Jung Lo, et al. · Physical Review Research (2024) | TGRS Research Map | TGRS