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http://hdl.handle.net/20.500.12128/19771
Tytuł: | Application of time-series regularity metrics to ion flux data from a population of pollen tubes |
Autor: | Pietruszka, Mariusz |
Słowa kluczowe: | Collective excitations; critical temperature; emergent behavior; Hurst exponent; Kolmogorov-Sinai entropy; Lyapunov exponent; optimum growth; temperature coding; tobacco |
Data wydania: | 2021 |
Źródło: | "Communicative & Integrative Biology" Vol. 14, iss. 1 (2021), s. 51-54 |
Abstrakt: | Detecting the presence of an irregularity/regularity or chaos in the ion flows of an evolving plant
cell is an important task that can be unraveled by performing the analyses by different metrics.
Here I show that the results of the advanced fluctuation estimation methods that are obtained
from the time series that is generated by the extracellular ion fluxes of tobacco pollen tubes
(Nicotiana tabacum L.) have long-range correlations at critical temperatures. Further experimental
evidence has been found to support the claim that the autonomous growth organization of
extreme plant cell expansion is accomplished by self-organizing criticality (SOC), which is an
orchestrated instability that occurs in an optimally evolving cell. The temperature-induced synchronous
action of the ionic fluxes that are manifested, inter alia, by minimal dynamic entropy
enabled the molecularly encoded information about germination and optimal growth temperatures
of tobacco pollen tubes to be determined. |
URI: | http://hdl.handle.net/20.500.12128/19771 |
DOI: | 10.1080/19420889.2021.1899574 |
ISSN: | 1942-0889 |
Pojawia się w kolekcji: | Artykuły (WNP)
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