Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research

Detalhes bibliográficos
Autor(a) principal: Raposo de Magalhães, Cláudia
Data de Publicação: 2020
Outros Autores: Schrama, Denise, Farinha, Ana Paula, Revets, Dominique, Kuehn, Annette, Planchon, Sébastien, Rodrigues, Pedro, Cerqueira, Marco
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/13859
Resumo: Background Aquaculture is a fast-growing industry and therefore welfare and environmental impact have become of utmost importance. Preventing stress associated to common aquaculture practices and optimizing the fish stress response by quantification of the stress level, are important steps towards the improvement of welfare standards. Stress is characterized by a cascade of physiological responses that, in-turn, induce further changes at the whole-animal level. These can either increase fitness or impair welfare. Nevertheless, monitorization of this dynamic process has, up until now, relied on indicators that are only a snapshot of the stress level experienced. Promising technological tools, such as proteomics, allow an unbiased approach for the discovery of potential biomarkers for stress monitoring. Within this scope, using Gilthead seabream (Sparus aurata) as a model, three chronic stress conditions, namely overcrowding, handling and hypoxia, were employed to evaluate the potential of the fish protein-based adaptations as reliable signatures of chronic stress, in contrast with the commonly used hormonal and metabolic indicators. Results A broad spectrum of biological variation regarding cortisol and glucose levels was observed, the values of which rose higher in net-handled fish. In this sense, a potential pattern of stressor-specificity was clear, as the level of response varied markedly between a persistent (crowding) and a repetitive stressor (handling). Gel-based proteomics analysis of the plasma proteome also revealed that net-handled fish had the highest number of differential proteins, compared to the other trials. Mass spectrometric analysis, followed by gene ontology enrichment and protein-protein interaction analyses, characterized those as humoral components of the innate immune system and key elements of the response to stimulus. Conclusions Overall, this study represents the first screening of more reliable signatures of physiological adaptation to chronic stress in fish, allowing the future development of novel biomarker models to monitor fish welfare.
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spelling Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare researchAquacultureBiomarkersCortisolGlucoseProteomeMass-spectrometryBackground Aquaculture is a fast-growing industry and therefore welfare and environmental impact have become of utmost importance. Preventing stress associated to common aquaculture practices and optimizing the fish stress response by quantification of the stress level, are important steps towards the improvement of welfare standards. Stress is characterized by a cascade of physiological responses that, in-turn, induce further changes at the whole-animal level. These can either increase fitness or impair welfare. Nevertheless, monitorization of this dynamic process has, up until now, relied on indicators that are only a snapshot of the stress level experienced. Promising technological tools, such as proteomics, allow an unbiased approach for the discovery of potential biomarkers for stress monitoring. Within this scope, using Gilthead seabream (Sparus aurata) as a model, three chronic stress conditions, namely overcrowding, handling and hypoxia, were employed to evaluate the potential of the fish protein-based adaptations as reliable signatures of chronic stress, in contrast with the commonly used hormonal and metabolic indicators. Results A broad spectrum of biological variation regarding cortisol and glucose levels was observed, the values of which rose higher in net-handled fish. In this sense, a potential pattern of stressor-specificity was clear, as the level of response varied markedly between a persistent (crowding) and a repetitive stressor (handling). Gel-based proteomics analysis of the plasma proteome also revealed that net-handled fish had the highest number of differential proteins, compared to the other trials. Mass spectrometric analysis, followed by gene ontology enrichment and protein-protein interaction analyses, characterized those as humoral components of the innate immune system and key elements of the response to stimulus. Conclusions Overall, this study represents the first screening of more reliable signatures of physiological adaptation to chronic stress in fish, allowing the future development of novel biomarker models to monitor fish welfare.This study received Portuguese national funds from FCT - Foundation for Science and Technology through project UIDB/04326/2020 and project WELFISH (Refª 16–02-05-FMP-12, “Establishment of Welfare Biomarkers in farmed fish using a proteomics approach”) financed by Mar2020, in the framework of the program Portugal 2020. Cláudia Raposo de Magalhães acknowledges an FCT PhD scholarship, Refª SFRH/BD/138884/2018. Denise Schrama acknowledges an FCT PhD scholarship, Refª SFRH/BD/136319/2018.BMCSapientiaRaposo de Magalhães, CláudiaSchrama, DeniseFarinha, Ana PaulaRevets, DominiqueKuehn, AnnettePlanchon, SébastienRodrigues, PedroCerqueira, Marco2020-05-08T14:00:10Z2020-04-192020-05-01T03:31:53Z2020-04-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/13859engBMC Genomics. 2020 Apr 19;21(1):309s12864-020-6728-4info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:26:02Zoai:sapientia.ualg.pt:10400.1/13859Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:04:56.594485Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research
title Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research
spellingShingle Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research
Raposo de Magalhães, Cláudia
Aquaculture
Biomarkers
Cortisol
Glucose
Proteome
Mass-spectrometry
title_short Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research
title_full Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research
title_fullStr Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research
title_full_unstemmed Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research
title_sort Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research
author Raposo de Magalhães, Cláudia
author_facet Raposo de Magalhães, Cláudia
Schrama, Denise
Farinha, Ana Paula
Revets, Dominique
Kuehn, Annette
Planchon, Sébastien
Rodrigues, Pedro
Cerqueira, Marco
author_role author
author2 Schrama, Denise
Farinha, Ana Paula
Revets, Dominique
Kuehn, Annette
Planchon, Sébastien
Rodrigues, Pedro
Cerqueira, Marco
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Raposo de Magalhães, Cláudia
Schrama, Denise
Farinha, Ana Paula
Revets, Dominique
Kuehn, Annette
Planchon, Sébastien
Rodrigues, Pedro
Cerqueira, Marco
dc.subject.por.fl_str_mv Aquaculture
Biomarkers
Cortisol
Glucose
Proteome
Mass-spectrometry
topic Aquaculture
Biomarkers
Cortisol
Glucose
Proteome
Mass-spectrometry
description Background Aquaculture is a fast-growing industry and therefore welfare and environmental impact have become of utmost importance. Preventing stress associated to common aquaculture practices and optimizing the fish stress response by quantification of the stress level, are important steps towards the improvement of welfare standards. Stress is characterized by a cascade of physiological responses that, in-turn, induce further changes at the whole-animal level. These can either increase fitness or impair welfare. Nevertheless, monitorization of this dynamic process has, up until now, relied on indicators that are only a snapshot of the stress level experienced. Promising technological tools, such as proteomics, allow an unbiased approach for the discovery of potential biomarkers for stress monitoring. Within this scope, using Gilthead seabream (Sparus aurata) as a model, three chronic stress conditions, namely overcrowding, handling and hypoxia, were employed to evaluate the potential of the fish protein-based adaptations as reliable signatures of chronic stress, in contrast with the commonly used hormonal and metabolic indicators. Results A broad spectrum of biological variation regarding cortisol and glucose levels was observed, the values of which rose higher in net-handled fish. In this sense, a potential pattern of stressor-specificity was clear, as the level of response varied markedly between a persistent (crowding) and a repetitive stressor (handling). Gel-based proteomics analysis of the plasma proteome also revealed that net-handled fish had the highest number of differential proteins, compared to the other trials. Mass spectrometric analysis, followed by gene ontology enrichment and protein-protein interaction analyses, characterized those as humoral components of the innate immune system and key elements of the response to stimulus. Conclusions Overall, this study represents the first screening of more reliable signatures of physiological adaptation to chronic stress in fish, allowing the future development of novel biomarker models to monitor fish welfare.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-08T14:00:10Z
2020-04-19
2020-05-01T03:31:53Z
2020-04-19T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/13859
url http://hdl.handle.net/10400.1/13859
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv BMC Genomics. 2020 Apr 19;21(1):309
s12864-020-6728-4
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv BMC
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