网络拓扑结构使多头绒泡菌能够有效地响应环境。

IF 2 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Siyu Chen, Karen Alim
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引用次数: 0

摘要

这种网状的身体结构将多头绒泡菌这种单细胞黏菌的身体结构与其他单细胞生物区分开来。然而,网状的身体结构在真菌等多细胞生命的分支中占主导地位。面对不利条件的动态环境,网络结构提供了什么样的生存优势?在这里,我们探讨网络拓扑如何影响tsp。多头虫对不利蓝光的回避反应。我们刺激一个细长的,i形变形体或y形网状标本,随后量化暴露在光下的身体部分的疏散过程。结果表明,y形标本在相当的时间框架内完成了避免收缩,甚至比i形生物略快,但迁移速度的增加几乎可以忽略不计。与i形相比,y形标本中驱动质量运动的收缩幅值仅在局部增加,这进一步证明了y形的回避反应比i形变形虫生物的能量效率更高。缩回行为的差异表明,当遇到不利环境时,网络拓扑的复杂性提供了一个关键优势。我们的发现可以更好地理解从单细胞到多细胞的转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network topology enables efficient response to environment inPhysarum polycephalum.

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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来源期刊
Physical biology
Physical biology 生物-生物物理
CiteScore
4.20
自引率
0.00%
发文量
50
审稿时长
3 months
期刊介绍: Physical Biology publishes articles in the broad interdisciplinary field bridging biology with the physical sciences and engineering. This journal focuses on research in which quantitative approaches – experimental, theoretical and modeling – lead to new insights into biological systems at all scales of space and time, and all levels of organizational complexity. Physical Biology accepts contributions from a wide range of biological sub-fields, including topics such as: molecular biophysics, including single molecule studies, protein-protein and protein-DNA interactions subcellular structures, organelle dynamics, membranes, protein assemblies, chromosome structure intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division systems biology, e.g. signaling, gene regulation and metabolic networks cells and their microenvironment, e.g. cell mechanics and motility, chemotaxis, extracellular matrix, biofilms cell-material interactions, e.g. biointerfaces, electrical stimulation and sensing, endocytosis cell-cell interactions, cell aggregates, organoids, tissues and organs developmental dynamics, including pattern formation and morphogenesis physical and evolutionary aspects of disease, e.g. cancer progression, amyloid formation neuronal systems, including information processing by networks, memory and learning population dynamics, ecology, and evolution collective action and emergence of collective phenomena.
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