Unlocking Kautsky’s dark box: Development of an optical toxicity classification tool (OPTOX index) with marine diatoms exposed to emerging contaminants

Chlorophyll a induction curves, or Kautsky curves, have been extensively used to study physiological stress conditions in phototrophic organisms, with the analysis of several derived parameters. Nevertheless, these variables use only about 10 % of the information comprised in the complete Kautsky cu...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Bernardo Duarte, Eduardo Feijão, Ricardo Cruz de Carvalho, Marco Franzitta, João Carlos Marques, Isabel Caçador, Maria Teresa Cabrita, Vanessa F. Fonseca
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://doaj.org/article/6a4891f2fb904475b2997767c492d5a6
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:6a4891f2fb904475b2997767c492d5a6
record_format dspace
spelling oai:doaj.org-article:6a4891f2fb904475b2997767c492d5a62021-12-01T05:01:05ZUnlocking Kautsky’s dark box: Development of an optical toxicity classification tool (OPTOX index) with marine diatoms exposed to emerging contaminants1470-160X10.1016/j.ecolind.2021.108238https://doaj.org/article/6a4891f2fb904475b2997767c492d5a62021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21009031https://doaj.org/toc/1470-160XChlorophyll a induction curves, or Kautsky curves, have been extensively used to study physiological stress conditions in phototrophic organisms, with the analysis of several derived parameters. Nevertheless, these variables use only about 10 % of the information comprised in the complete Kautsky curve dataset, leaving 90 % of the photochemical data within an underutilized dark box, that is not translated into photochemically relevant variables. By observing the variable fluorescence profiles from marine diatoms exposed to a myriad of emerging and classical contaminants, several fluorescence profile alterations were detected, with significant deviations from the control conditions concomitant with the degree of growth inhibition imposed by the chemical stressor. The Linear Discriminant Analysis (LDA) analysis based on the normalized variable chlorophyll a fluorescence profiles revealed a high discriminatory efficiency of the type of contaminant to which the cultures were exposed, indicating that the exposure to different chemical stressors (contaminants) results in specific fluorescence profiles that can be used as descriptors of these exposure conditions. Analysing the individual contaminant LDA analysis, a very low overlap between samples exposed to different concentrations was observed, indicating a high discriminatory power of the variable fluorescence profiles. When evaluating the blind-test classification efficiencies, provided by this contaminant-specific LDA approach, it was possible to observe a high degree of efficiency in almost all contaminants tested, and for most of the concentrations applied. With this in mind, the produced linear discriminants and proportion of traces was used to compute an optical toxicity classification tool - the OPTOX index. The index revealed a high degree of correlation with the growth inhibition observed and/or with the exogenous dose of contaminant applied. The developed OPTOX index, a unifying tool enclosing all the fluorescence data provided by the chlorophyll a induction curve, proved to be an efficient tool to apply in ecotoxicological assays using marine model diatoms with a high degree of reliability for classifying the exposure of the cells to emerging contaminants. Additionally, the data analysis pipeline, as well as the index development methodology here proposed, can be easily transposed to other autotrophic organisms subjected to different ecotoxicological test conditions calibrated and validated against known biochemical or morphological descriptors of stress, integrating this way a large amount of data that was until know completely overlooked and left within an underutilized and undervalued dark box.Bernardo DuarteEduardo FeijãoRicardo Cruz de CarvalhoMarco FranzittaJoão Carlos MarquesIsabel CaçadorMaria Teresa CabritaVanessa F. FonsecaElsevierarticleChlorophyll a induction curvesMarine diatomsEcotoxicologyBio-optical indexEcologyQH540-549.5ENEcological Indicators, Vol 131, Iss , Pp 108238- (2021)
institution DOAJ
collection DOAJ
language EN
topic Chlorophyll a induction curves
Marine diatoms
Ecotoxicology
Bio-optical index
Ecology
QH540-549.5
spellingShingle Chlorophyll a induction curves
Marine diatoms
Ecotoxicology
Bio-optical index
Ecology
QH540-549.5
Bernardo Duarte
Eduardo Feijão
Ricardo Cruz de Carvalho
Marco Franzitta
João Carlos Marques
Isabel Caçador
Maria Teresa Cabrita
Vanessa F. Fonseca
Unlocking Kautsky’s dark box: Development of an optical toxicity classification tool (OPTOX index) with marine diatoms exposed to emerging contaminants
description Chlorophyll a induction curves, or Kautsky curves, have been extensively used to study physiological stress conditions in phototrophic organisms, with the analysis of several derived parameters. Nevertheless, these variables use only about 10 % of the information comprised in the complete Kautsky curve dataset, leaving 90 % of the photochemical data within an underutilized dark box, that is not translated into photochemically relevant variables. By observing the variable fluorescence profiles from marine diatoms exposed to a myriad of emerging and classical contaminants, several fluorescence profile alterations were detected, with significant deviations from the control conditions concomitant with the degree of growth inhibition imposed by the chemical stressor. The Linear Discriminant Analysis (LDA) analysis based on the normalized variable chlorophyll a fluorescence profiles revealed a high discriminatory efficiency of the type of contaminant to which the cultures were exposed, indicating that the exposure to different chemical stressors (contaminants) results in specific fluorescence profiles that can be used as descriptors of these exposure conditions. Analysing the individual contaminant LDA analysis, a very low overlap between samples exposed to different concentrations was observed, indicating a high discriminatory power of the variable fluorescence profiles. When evaluating the blind-test classification efficiencies, provided by this contaminant-specific LDA approach, it was possible to observe a high degree of efficiency in almost all contaminants tested, and for most of the concentrations applied. With this in mind, the produced linear discriminants and proportion of traces was used to compute an optical toxicity classification tool - the OPTOX index. The index revealed a high degree of correlation with the growth inhibition observed and/or with the exogenous dose of contaminant applied. The developed OPTOX index, a unifying tool enclosing all the fluorescence data provided by the chlorophyll a induction curve, proved to be an efficient tool to apply in ecotoxicological assays using marine model diatoms with a high degree of reliability for classifying the exposure of the cells to emerging contaminants. Additionally, the data analysis pipeline, as well as the index development methodology here proposed, can be easily transposed to other autotrophic organisms subjected to different ecotoxicological test conditions calibrated and validated against known biochemical or morphological descriptors of stress, integrating this way a large amount of data that was until know completely overlooked and left within an underutilized and undervalued dark box.
format article
author Bernardo Duarte
Eduardo Feijão
Ricardo Cruz de Carvalho
Marco Franzitta
João Carlos Marques
Isabel Caçador
Maria Teresa Cabrita
Vanessa F. Fonseca
author_facet Bernardo Duarte
Eduardo Feijão
Ricardo Cruz de Carvalho
Marco Franzitta
João Carlos Marques
Isabel Caçador
Maria Teresa Cabrita
Vanessa F. Fonseca
author_sort Bernardo Duarte
title Unlocking Kautsky’s dark box: Development of an optical toxicity classification tool (OPTOX index) with marine diatoms exposed to emerging contaminants
title_short Unlocking Kautsky’s dark box: Development of an optical toxicity classification tool (OPTOX index) with marine diatoms exposed to emerging contaminants
title_full Unlocking Kautsky’s dark box: Development of an optical toxicity classification tool (OPTOX index) with marine diatoms exposed to emerging contaminants
title_fullStr Unlocking Kautsky’s dark box: Development of an optical toxicity classification tool (OPTOX index) with marine diatoms exposed to emerging contaminants
title_full_unstemmed Unlocking Kautsky’s dark box: Development of an optical toxicity classification tool (OPTOX index) with marine diatoms exposed to emerging contaminants
title_sort unlocking kautsky’s dark box: development of an optical toxicity classification tool (optox index) with marine diatoms exposed to emerging contaminants
publisher Elsevier
publishDate 2021
url https://doaj.org/article/6a4891f2fb904475b2997767c492d5a6
work_keys_str_mv AT bernardoduarte unlockingkautskysdarkboxdevelopmentofanopticaltoxicityclassificationtooloptoxindexwithmarinediatomsexposedtoemergingcontaminants
AT eduardofeijao unlockingkautskysdarkboxdevelopmentofanopticaltoxicityclassificationtooloptoxindexwithmarinediatomsexposedtoemergingcontaminants
AT ricardocruzdecarvalho unlockingkautskysdarkboxdevelopmentofanopticaltoxicityclassificationtooloptoxindexwithmarinediatomsexposedtoemergingcontaminants
AT marcofranzitta unlockingkautskysdarkboxdevelopmentofanopticaltoxicityclassificationtooloptoxindexwithmarinediatomsexposedtoemergingcontaminants
AT joaocarlosmarques unlockingkautskysdarkboxdevelopmentofanopticaltoxicityclassificationtooloptoxindexwithmarinediatomsexposedtoemergingcontaminants
AT isabelcacador unlockingkautskysdarkboxdevelopmentofanopticaltoxicityclassificationtooloptoxindexwithmarinediatomsexposedtoemergingcontaminants
AT mariateresacabrita unlockingkautskysdarkboxdevelopmentofanopticaltoxicityclassificationtooloptoxindexwithmarinediatomsexposedtoemergingcontaminants
AT vanessaffonseca unlockingkautskysdarkboxdevelopmentofanopticaltoxicityclassificationtooloptoxindexwithmarinediatomsexposedtoemergingcontaminants
_version_ 1718405606051676160