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Quantitative Biology > Molecular Networks

arXiv:1911.04895v1 (q-bio)
[Submitted on 12 Nov 2019 ]

Title: Communication in Plants: Comparison of Multiple Action Potential and Mechanosensitive Signals with Experiments

Title: 植物中的通信:多动作电位和机械敏感信号与实验的比较

Authors:Hamdan Awan, Kareem Zeid, Raviraj S. Adve, Nigel Wallbridge, Carrol Plummer, Andrew W. Eckford
Abstract: Both action potentials and mechanosensitive signalling are an important communication mechanisms in plants. Considering an information theoretic framework, this paper explores the effective range of multiple action potentials for a long chain of cells (i.e., up to 100) in different configurations, and introduces the study of multiple mechanosensitive activation signals (generated due to a mechanical stimulus) in plants. For both these signals, we find that the mutual information per cell and information propagation speed tends to increase up to a certain number of receiver cells. However, as the number of cells increase beyond 10 to 12, the mutual information per cell starts to decrease. To validate our model and results, we include an experimental verification of the theoretical model, using a PhytlSigns biosignal amplifier, allowing us to measure the magnitude of the voltage associated with the multiple AP and mechanosensitive activation signals induced by different stimulus in plants. Experimental data is used to calculate the mutual information and information propagation speed, which is compared with corresponding numerical results. Since these signals are used for a variety of important tasks within the plant, understanding them may lead to new bioengineering methods for plants.
Abstract: 动作电位和机械敏感信号是植物中重要的通信机制。 考虑到信息理论框架,本文探讨了在不同配置下的长链细胞(即最多100个)中多个动作电位的有效范围,并引入了对由于机械刺激产生的多个机械敏感激活信号的研究。 对于这两种信号,我们发现每个细胞的互信息和信息传播速度会增加到一定数量的接收细胞。 然而,当细胞数量超过10到12个时,每个细胞的互信息开始减少。 为了验证我们的模型和结果,我们包括了理论模型的实验验证,使用PhytlSigns生物信号放大器,使我们能够测量由不同刺激在植物中诱导的多个AP和机械敏感激活信号相关的电压大小。 实验数据用于计算互信息和信息传播速度,并与相应的数值结果进行比较。 由于这些信号用于植物内部的各种重要任务,理解它们可能会导致新的植物生物工程方法。
Comments: 12 Pages, 15 Figures, Accepted for Publication in IEEE Transactions on NanoBioscience
Subjects: Molecular Networks (q-bio.MN) ; Information Theory (cs.IT); Neurons and Cognition (q-bio.NC)
Cite as: arXiv:1911.04895 [q-bio.MN]
  (or arXiv:1911.04895v1 [q-bio.MN] for this version)
  https://doi.org/10.48550/arXiv.1911.04895
arXiv-issued DOI via DataCite
Journal reference: IEEE Transactions on NanoBioscience 2019
Related DOI: https://doi.org/10.1109/TNB.2019.2951289
DOI(s) linking to related resources

Submission history

From: Hamdan Awan [view email]
[v1] Tue, 12 Nov 2019 14:36:23 UTC (6,331 KB)
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