Cargando…

A Stochastic Characterization of Hydrogen Peroxide-Induced Regulated Cell Death in Microcystis aeruginosa

Regulated cell death (RCD) encompasses the activation of cellular pathways that initiate and execute a self-dismissal process. RCD occur over a range of stressors doses that overcome pro-survival cellular pathways, while higher doses cause excessive damage leading to passive accidental cell death (A...

Descripción completa

Detalles Bibliográficos
Autores principales: Giannuzzi, Leda, Lombardo, Tomás, Juárez, Iván, Aguilera, Anabella, Blanco, Guillermo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356053/
https://www.ncbi.nlm.nih.gov/pubmed/34394016
http://dx.doi.org/10.3389/fmicb.2021.636157
_version_ 1783736873582067712
author Giannuzzi, Leda
Lombardo, Tomás
Juárez, Iván
Aguilera, Anabella
Blanco, Guillermo
author_facet Giannuzzi, Leda
Lombardo, Tomás
Juárez, Iván
Aguilera, Anabella
Blanco, Guillermo
author_sort Giannuzzi, Leda
collection PubMed
description Regulated cell death (RCD) encompasses the activation of cellular pathways that initiate and execute a self-dismissal process. RCD occur over a range of stressors doses that overcome pro-survival cellular pathways, while higher doses cause excessive damage leading to passive accidental cell death (ACD). Hydrogen peroxide (HP) has been proposed as a potential tool to control harmful cyanobacterial blooms, given its capacity to remove cyanobacterial cells and oxidize cyanotoxins. HP is a source of hydroxyl radicals and is expected to induce RCD only within a limited range of concentrations. This property makes this compound very useful to better understand stress-driven RCD. In this work, we analyzed cell death in microcystin-producing Microcystis aeruginosa by means of a stochastic dose response model using a wide range of HP concentrations (0, 0.29, 1.76, 3.67, 7.35, 14.70, and 29.5 mM). We used flow cytometry and unsupervised classification to study cell viability and characterize transitional cell death phenotypes after exposing cells to HP for 48 and 72 h. Non-linear regression was used to fit experimental data to a logistic cumulative distribution function (cdf) and calculate the half maximal effective concentration (EC(50)). The EC(50) of M. aeruginosa exposed to HP were 3.77 ± 0.26 mM and 4.26 ± 0.22 mM at 48 and 72 h, respectively. The derivative of cdf (probability density function; pdf) provided theoretical and practical demonstration that EC(50) is the minimal dose required to cause RCD in 50% of cells, therefore maximizing the probability of RCD occurrence. 1.76 mM HP lead to an antioxidant stress response characterized by increased reactive oxygen species (ROS) levels and HP decomposition activity. The exposure of 3.67 mM HP induced a dose-related transition in cell death phenotype, and produced several morphological changes (a less dense stroma, distortion of the cell membrane, partial disintegration of thylakoids, extensive cytoplasmic vacuolation and highly condensed chromatin). The EC(50) and the stochastic cdf and pdf together with the multidimensional transitional phenotypic analysis of single cells contribute to further characterize cell death pathways in cyanobacteria.
format Online
Article
Text
id pubmed-8356053
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-83560532021-08-12 A Stochastic Characterization of Hydrogen Peroxide-Induced Regulated Cell Death in Microcystis aeruginosa Giannuzzi, Leda Lombardo, Tomás Juárez, Iván Aguilera, Anabella Blanco, Guillermo Front Microbiol Microbiology Regulated cell death (RCD) encompasses the activation of cellular pathways that initiate and execute a self-dismissal process. RCD occur over a range of stressors doses that overcome pro-survival cellular pathways, while higher doses cause excessive damage leading to passive accidental cell death (ACD). Hydrogen peroxide (HP) has been proposed as a potential tool to control harmful cyanobacterial blooms, given its capacity to remove cyanobacterial cells and oxidize cyanotoxins. HP is a source of hydroxyl radicals and is expected to induce RCD only within a limited range of concentrations. This property makes this compound very useful to better understand stress-driven RCD. In this work, we analyzed cell death in microcystin-producing Microcystis aeruginosa by means of a stochastic dose response model using a wide range of HP concentrations (0, 0.29, 1.76, 3.67, 7.35, 14.70, and 29.5 mM). We used flow cytometry and unsupervised classification to study cell viability and characterize transitional cell death phenotypes after exposing cells to HP for 48 and 72 h. Non-linear regression was used to fit experimental data to a logistic cumulative distribution function (cdf) and calculate the half maximal effective concentration (EC(50)). The EC(50) of M. aeruginosa exposed to HP were 3.77 ± 0.26 mM and 4.26 ± 0.22 mM at 48 and 72 h, respectively. The derivative of cdf (probability density function; pdf) provided theoretical and practical demonstration that EC(50) is the minimal dose required to cause RCD in 50% of cells, therefore maximizing the probability of RCD occurrence. 1.76 mM HP lead to an antioxidant stress response characterized by increased reactive oxygen species (ROS) levels and HP decomposition activity. The exposure of 3.67 mM HP induced a dose-related transition in cell death phenotype, and produced several morphological changes (a less dense stroma, distortion of the cell membrane, partial disintegration of thylakoids, extensive cytoplasmic vacuolation and highly condensed chromatin). The EC(50) and the stochastic cdf and pdf together with the multidimensional transitional phenotypic analysis of single cells contribute to further characterize cell death pathways in cyanobacteria. Frontiers Media S.A. 2021-07-28 /pmc/articles/PMC8356053/ /pubmed/34394016 http://dx.doi.org/10.3389/fmicb.2021.636157 Text en Copyright © 2021 Giannuzzi, Lombardo, Juárez, Aguilera and Blanco. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Giannuzzi, Leda
Lombardo, Tomás
Juárez, Iván
Aguilera, Anabella
Blanco, Guillermo
A Stochastic Characterization of Hydrogen Peroxide-Induced Regulated Cell Death in Microcystis aeruginosa
title A Stochastic Characterization of Hydrogen Peroxide-Induced Regulated Cell Death in Microcystis aeruginosa
title_full A Stochastic Characterization of Hydrogen Peroxide-Induced Regulated Cell Death in Microcystis aeruginosa
title_fullStr A Stochastic Characterization of Hydrogen Peroxide-Induced Regulated Cell Death in Microcystis aeruginosa
title_full_unstemmed A Stochastic Characterization of Hydrogen Peroxide-Induced Regulated Cell Death in Microcystis aeruginosa
title_short A Stochastic Characterization of Hydrogen Peroxide-Induced Regulated Cell Death in Microcystis aeruginosa
title_sort stochastic characterization of hydrogen peroxide-induced regulated cell death in microcystis aeruginosa
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8356053/
https://www.ncbi.nlm.nih.gov/pubmed/34394016
http://dx.doi.org/10.3389/fmicb.2021.636157
work_keys_str_mv AT giannuzzileda astochasticcharacterizationofhydrogenperoxideinducedregulatedcelldeathinmicrocystisaeruginosa
AT lombardotomas astochasticcharacterizationofhydrogenperoxideinducedregulatedcelldeathinmicrocystisaeruginosa
AT juarezivan astochasticcharacterizationofhydrogenperoxideinducedregulatedcelldeathinmicrocystisaeruginosa
AT aguileraanabella astochasticcharacterizationofhydrogenperoxideinducedregulatedcelldeathinmicrocystisaeruginosa
AT blancoguillermo astochasticcharacterizationofhydrogenperoxideinducedregulatedcelldeathinmicrocystisaeruginosa
AT giannuzzileda stochasticcharacterizationofhydrogenperoxideinducedregulatedcelldeathinmicrocystisaeruginosa
AT lombardotomas stochasticcharacterizationofhydrogenperoxideinducedregulatedcelldeathinmicrocystisaeruginosa
AT juarezivan stochasticcharacterizationofhydrogenperoxideinducedregulatedcelldeathinmicrocystisaeruginosa
AT aguileraanabella stochasticcharacterizationofhydrogenperoxideinducedregulatedcelldeathinmicrocystisaeruginosa
AT blancoguillermo stochasticcharacterizationofhydrogenperoxideinducedregulatedcelldeathinmicrocystisaeruginosa