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Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7168993/ https://www.ncbi.nlm.nih.gov/pubmed/32306896 http://dx.doi.org/10.1186/s12864-020-6728-4 |
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author | Raposo de Magalhães, Cláudia Schrama, Denise Farinha, Ana Paula Revets, Dominique Kuehn, Annette Planchon, Sébastien Rodrigues, Pedro Miguel Cerqueira, Marco |
author_facet | Raposo de Magalhães, Cláudia Schrama, Denise Farinha, Ana Paula Revets, Dominique Kuehn, Annette Planchon, Sébastien Rodrigues, Pedro Miguel Cerqueira, Marco |
author_sort | Raposo de Magalhães, Cláudia |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7168993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71689932020-04-23 Protein changes as robust signatures of fish chronic stress: a proteomics approach to fish welfare research Raposo de Magalhães, Cláudia Schrama, Denise Farinha, Ana Paula Revets, Dominique Kuehn, Annette Planchon, Sébastien Rodrigues, Pedro Miguel Cerqueira, Marco BMC Genomics Research Article 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. BioMed Central 2020-04-19 /pmc/articles/PMC7168993/ /pubmed/32306896 http://dx.doi.org/10.1186/s12864-020-6728-4 Text en © The Author(s). 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Raposo de Magalhães, Cláudia Schrama, Denise Farinha, Ana Paula Revets, Dominique Kuehn, Annette Planchon, Sébastien Rodrigues, Pedro Miguel Cerqueira, Marco 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 |
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_short | 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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7168993/ https://www.ncbi.nlm.nih.gov/pubmed/32306896 http://dx.doi.org/10.1186/s12864-020-6728-4 |
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