Bioelectrical pattern discrimination of Miconia plants by spectral analysis and machine learning

Gimenez, Valéria Maria Melleiro; Pauletti, Patrícia Mendonça; Silva, Ana Carolina de Sousa; Costa, Ernane José Xavier

doi:10.1007/s40626-021-00214-0

Cited by 4 publications

(4 citation statements)

References 64 publications

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“…This is in line with other studies on electrome complexity [ 26 , 40 , 43 ], including some that demonstrated specific electromic signatures in pathogen-infected plants [ 28 , 46 ], bioelectric patterns of oscillations recorded in loco in Miconia sp. [ 30 ], and bioelectrical reaction of fruit petioles when fruits are chewed by caterpillars [ 32 ]. Our study now shows that low-frequency peaks likely predominate in these electromes, but higher frequency bands also exist, which is a novel finding.…”

Section: Discussionmentioning

confidence: 99%

“…These bioelectrical signals would be modified when plants perceive environmental signals or cues and prioritise one or some of these signals and cues over others [ 23 , 24 , 25 ]. The effect of these interactions on the electrophysiology of plants has been observed in different plant species under different conditions [ 26 , 27 , 28 , 29 , 30 , 31 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

“…Again, the left side of the figure shows the values of dodders presented to the wheat plants (Figure2A-G), and on the right side, dodders presented to the bean plants (Figure2H-N). The figure shows the band frequencies for low (0.0-0.5 Hz), delta (0.5-4 Hz), theta (4-8 Hz), mu (9-11 Hz), alpha (8-13 Hz), beta(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), and gamma (20-100 Hz) waves. The behaviour of the signals after the dodder being presented to the bean plant was quite distinct from before (Figure2H-N, highlighted in red).…”

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confidence: 99%

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The Electrome of a Parasitic Plant in a Putative State of Attention Increases the Energy of Low Band Frequency Waves: A Comparative Study with Neural Systems

Parise

Oliveira

Debono³

et al. 2023

Plants

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Selective attention is an important cognitive phenomenon that allows organisms to flexibly engage with certain environmental cues or activities while ignoring others, permitting optimal behaviour. It has been proposed that selective attention can be present in many different animal species and, more recently, in plants. The phenomenon of attention in plants would be reflected in its electrophysiological activity, possibly being observable through electrophytographic (EPG) techniques. Former EPG time series obtained from the parasitic plant Cuscuta racemosa in a putative state of attention towards two different potential hosts, the suitable bean (Phaseolus vulgaris) and the unsuitable wheat (Triticum aestivum), were revisited. Here, we investigated the potential existence of different band frequencies (including low, delta, theta, mu, alpha, beta, and gamma waves) using a protocol adapted from neuroscientific research. Average band power (ABP) was used to analyse the energy distribution of each band frequency in the EPG signals, and time dispersion analysis of features (TDAF) was used to explore the variations in the energy of each band. Our findings indicated that most band waves were centred in the lower frequencies. We also observed that C. racemosa invested more energy in these low-frequency waves when suitable hosts were present. However, we also noted peaks of energy investment in all the band frequencies, which may be linked to extremely low oscillatory electrical signals in the entire tissue. Overall, the presence of suitable hosts induced a higher energy power, which supports the hypothesis of attention in plants. We further discuss and compare our results with generic neural systems.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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The Electrome of a Parasitic Plant in a Putative State of Attention Increases the Energy of Low Band Frequency Waves: A Comparative Study with Neural Systems

Parise

Oliveira

Debono³

et al. 2023

Plants

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“…To conclude, phytosemiotics is conforted by this analysis. The aim is to find specific patterns of electrome responses highlighting the cognitive capacities of plants, especially in terms of operational mode of communication at long distance (Debono and Souza 2019;, Gimenez et al 2021). These patterns could include synchronization among electrical signals at the level of single plants (Debono 2013, Masi 2009 and discrimination of environmental stimuli or propagated defense signals (Reissig et al, 2021) This still on going methodological part related to the operability and nature of in situ mesological plasticity of plants constitutes a key point of our experimental approach.…”

Section: Plasticity: Evolutionary Biology and The Umvelt Of Plantsmentioning

confidence: 99%

Mesological Plasticity as a New Model to Study Plant Cognition, Interactive Ecosystems, and Self-Organized Evolutionary Processes

Debono¹

2022

Evolutionary Biology – New Perspectives on Its Development

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The plasticity of living systems acts at several levels of evolutionary biology including self-organization, phenotypic, phylo-, onto-and epigenetic processes, while mesology is an approach situated in between ecology and phenomenology. After a description of the specific objects of plasticity and mesology as non-dualist studies of the dynamical coupling between beings and their singular milieu, we will develop some arguments regarding the perception-action loop and the sensory flux of informations crossing the evolution of the living, before focusing on recent discoveries about plant electrome. Using for the first time mesological plasticity as a frame to reanalyze the Uexcküll's assertions about Umwelt and meaning-making theories of plants, this chapter shows the leading rule of electromic interfaces in the generation of spontaneous low-voltage variations continuously emitted by plants via electrophytographic or EPG recordings. Used as early markers, EPGs are considered in this framework as natural systems of monitoring and discrimination of environmental stimuli that allow the identification of the electromic signature of a plant-stimulus pair in a given milieu.More generally, we will develop the trajections associated with complex behaviours of plants: a bottom-up transdisciplinary view of co-evolutionary or ecosemiotic processes highlighting their specific sensitive fields and cognitive accesses to experience (their otherness) as well as new phenomenologies about interactive ecosystems and phytosemiotics.

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The cognitive power of plants: from mesological plasticity to non-explicit cognitive skills

Debono

2024

Theor. Exp. Plant Physiol.

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Bioelectrical pattern discrimination of Miconia plants by spectral analysis and machine learning

Abstract: In loco characterization of the bioelectrical signals of two Miconia species in the time and frequency domain suggests that the species have distinct biological patterns.

Cited by 4 publications

References 64 publications

The Electrome of a Parasitic Plant in a Putative State of Attention Increases the Energy of Low Band Frequency Waves: A Comparative Study with Neural Systems

The Electrome of a Parasitic Plant in a Putative State of Attention Increases the Energy of Low Band Frequency Waves: A Comparative Study with Neural Systems

Mesological Plasticity as a New Model to Study Plant Cognition, Interactive Ecosystems, and Self-Organized Evolutionary Processes

The cognitive power of plants: from mesological plasticity to non-explicit cognitive skills

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