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Network topology enables efficient response to environment inPhysarum polycephalum.
Chen, Siyu; Alim, Karen.
Afiliação
  • Chen S; Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.
  • Alim K; Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.
Phys Biol ; 20(4)2023 05 16.
Article em En | MEDLINE | ID: mdl-37190961
ABSTRACT
The network-shaped body plan distinguishes the unicellular slime mouldPhysarum polycephalumin body architecture from other unicellular organisms. Yet, network-shaped body plans dominate branches of multi-cellular life such as in fungi. What survival advantage does a network structure provide when facing a dynamic environment with adverse conditions? Here, we probe how network topology impactsP. polycephalum's avoidance response to an adverse blue light. We stimulate either an elongated, I-shaped amoeboid or a Y-shaped networked specimen and subsequently quantify the evacuation process of the light-exposed body part. The result shows that Y-shaped specimen complete the avoidance retraction in a comparable time frame, even slightly faster than I-shaped organisms, yet, at a lower almost negligible increase in migration velocity. Contraction amplitude driving mass motion is further only locally increased in Y-shaped specimen compared to I-shaped-providing further evidence that Y-shaped's avoidance reaction is energetically more efficient than in I-shaped amoeboid organisms. The difference in the retraction behaviour suggests that the complexity of network topology provides a key advantage when encountering adverse environments. Our findings could lead to a better understanding of the transition from unicellular to multicellularity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Physarum polycephalum Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Physarum polycephalum Tipo de estudo: Prognostic_studies Idioma: En Revista: Phys Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha