Evidence map›Paper›PMID 37007213›Full record

ArticleCommunicative & integrative biology2023

Approximate entropy: a promising tool to understand the hidden electrical activity of fruit.

Gabriela Niemeyer Reissig, Thiago Francisco de Carvalho Oliveira, André Geremia Parise, Ádrya Vanessa Lira Costa, Douglas Antônio Posso, Cesar Valmor Rombaldi, Gustavo Maia Souza

Abstract read
In one paragraph

Article in Communicative & integrative biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Gabriela Niemeyer ReissigLaboratory of Plant Cognition and Electrophysiology, Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, Brazil.ORCID https://orcid.org/0000-0002-0926-4390
Thiago Francisco de Carvalho OliveiraLaboratory of Plant Cognition and Electrophysiology, Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, Brazil.ORCID https://orcid.org/0000-0002-0397-2548
André Geremia PariseSchool of Biological Sciences, University of Reading, Reading, UK.ORCID https://orcid.org/0000-0002-2500-6455
Ádrya Vanessa Lira CostaLaboratory of Plant Cognition and Electrophysiology, Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, Brazil.ORCID https://orcid.org/0000-0001-5564-9534
Douglas Antônio PossoLaboratory of Plant Cognition and Electrophysiology, Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, Brazil.ORCID https://orcid.org/0000-0003-1560-2023
Cesar Valmor RombaldiDepartment of Agroindustrial Science and Technology, Faculty of Agronomy Eliseu Maciel, Federal University of Pelotas, Pelotas, Brazil.ORCID https://orcid.org/0000-0002-6995-2937
Gustavo Maia SouzaLaboratory of Plant Cognition and Electrophysiology, Department of Botany, Institute of Biology, Federal University of Pelotas, Pelotas, Brazil.ORCID https://orcid.org/0000-0001-6754-4860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fruits, like other parts of the plant, appear to have a rich electrical activity that may contain information. Here, we present data showing differences in the electrome complexity of tomato fruits through ripening and discuss possible physiological processes involved. The complexity of the signals, measured through approximate entropy, varied along the fruit ripening process. When analyzing the fruits individually, a decrease in entropy values was observed when they entered the breaker stage, followed by a tendency to increase again when they entered the light red stage. Consequently, the data obtained showed a decrease in signal complexity in the breaker stage, probably due to some physiological process that ends up predominating to the detriment of others. This result may be linked to processes involved in ripening, such as climacteric. Electrophysiological studies in the reproductive stage of the plant are still scarce, and research in this direction is of paramount importance to understand whether the electrical signals observed can transmit information from reproductive structures to other modules of plants. This work opens the possibility of studying the relationship between the electrical activity and fruit ripening through the analysis of approximate entropy. More studies are necessary to understand whether there is a correlation or a cause-response relationship in the phenomena involved. There is a myriad of possibilities for the applicability of this knowledge to different areas, from understanding the cognitive processes of plants to achieving more accurate and sustainable agriculture.

Indexed as

Electromefruit herbivoryfruit ripeningmachine learningplant electrophysiology

Identifiers

PMID37007213
PMCPMC10054301

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.