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Differential metabolic profiles associated to movement behaviour of stream-resident brown trout (Salmo trutta)
The mechanisms that can contribute in the fish movement strategies and the associated behaviour can be complex and related to the physiology, genetic and ecology of each species. In the case of the brown trout (Salmo trutta), in recent research works, individual differences in mobility have been obs...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5531495/ https://www.ncbi.nlm.nih.gov/pubmed/28750027 http://dx.doi.org/10.1371/journal.pone.0181697 |
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author | Oromi, Neus Jové, Mariona Pascual-Pons, Mariona Royo, Jose Luis Rocaspana, Rafel Aparicio, Enric Pamplona, Reinald Palau, Antoni Sanuy, Delfi Fibla, Joan Portero-Otin, Manuel |
author_facet | Oromi, Neus Jové, Mariona Pascual-Pons, Mariona Royo, Jose Luis Rocaspana, Rafel Aparicio, Enric Pamplona, Reinald Palau, Antoni Sanuy, Delfi Fibla, Joan Portero-Otin, Manuel |
author_sort | Oromi, Neus |
collection | PubMed |
description | The mechanisms that can contribute in the fish movement strategies and the associated behaviour can be complex and related to the physiology, genetic and ecology of each species. In the case of the brown trout (Salmo trutta), in recent research works, individual differences in mobility have been observed in a population living in a high mountain river reach (Pyrenees, NE Spain). The population is mostly sedentary but a small percentage of individuals exhibit a mobile behavior, mainly upstream movements. Metabolomics can reflect changes in the physiological process and can determine different profiles depending on behaviour. Here, a non-targeted metabolomics approach was used to find possible changes in the blood metabolomic profile of S. trutta related to its movement behaviour, using a minimally invasive sampling. Results showed a differentiation in the metabolomic profiles of the trouts and different level concentrations of some metabolites (e.g. cortisol) according to the home range classification (pattern of movements: sedentary or mobile). The change in metabolomic profiles can generally occur during the upstream movement and probably reflects the changes in metabolite profile from the non-mobile season to mobile season. This study reveals the contribution of the metabolomic analyses to better understand the behaviour of organisms. |
format | Online Article Text |
id | pubmed-5531495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55314952017-08-07 Differential metabolic profiles associated to movement behaviour of stream-resident brown trout (Salmo trutta) Oromi, Neus Jové, Mariona Pascual-Pons, Mariona Royo, Jose Luis Rocaspana, Rafel Aparicio, Enric Pamplona, Reinald Palau, Antoni Sanuy, Delfi Fibla, Joan Portero-Otin, Manuel PLoS One Research Article The mechanisms that can contribute in the fish movement strategies and the associated behaviour can be complex and related to the physiology, genetic and ecology of each species. In the case of the brown trout (Salmo trutta), in recent research works, individual differences in mobility have been observed in a population living in a high mountain river reach (Pyrenees, NE Spain). The population is mostly sedentary but a small percentage of individuals exhibit a mobile behavior, mainly upstream movements. Metabolomics can reflect changes in the physiological process and can determine different profiles depending on behaviour. Here, a non-targeted metabolomics approach was used to find possible changes in the blood metabolomic profile of S. trutta related to its movement behaviour, using a minimally invasive sampling. Results showed a differentiation in the metabolomic profiles of the trouts and different level concentrations of some metabolites (e.g. cortisol) according to the home range classification (pattern of movements: sedentary or mobile). The change in metabolomic profiles can generally occur during the upstream movement and probably reflects the changes in metabolite profile from the non-mobile season to mobile season. This study reveals the contribution of the metabolomic analyses to better understand the behaviour of organisms. Public Library of Science 2017-07-27 /pmc/articles/PMC5531495/ /pubmed/28750027 http://dx.doi.org/10.1371/journal.pone.0181697 Text en © 2017 Oromi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Oromi, Neus Jové, Mariona Pascual-Pons, Mariona Royo, Jose Luis Rocaspana, Rafel Aparicio, Enric Pamplona, Reinald Palau, Antoni Sanuy, Delfi Fibla, Joan Portero-Otin, Manuel Differential metabolic profiles associated to movement behaviour of stream-resident brown trout (Salmo trutta) |
title | Differential metabolic profiles associated to movement behaviour of stream-resident brown trout (Salmo trutta) |
title_full | Differential metabolic profiles associated to movement behaviour of stream-resident brown trout (Salmo trutta) |
title_fullStr | Differential metabolic profiles associated to movement behaviour of stream-resident brown trout (Salmo trutta) |
title_full_unstemmed | Differential metabolic profiles associated to movement behaviour of stream-resident brown trout (Salmo trutta) |
title_short | Differential metabolic profiles associated to movement behaviour of stream-resident brown trout (Salmo trutta) |
title_sort | differential metabolic profiles associated to movement behaviour of stream-resident brown trout (salmo trutta) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5531495/ https://www.ncbi.nlm.nih.gov/pubmed/28750027 http://dx.doi.org/10.1371/journal.pone.0181697 |
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