Evidence map›Paper›PMID 28750027›Full record

ArticlePloS one2017

Differential metabolic profiles associated to movement behaviour of stream-resident brown trout (Salmo trutta).

Neus Oromi, Mariona Jové, Mariona Pascual-Pons, Jose Luis Royo, Rafel Rocaspana, Enric Aparicio, Reinald Pamplona, Antoni Palau, Delfi Sanuy, Joan Fibla and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Neus OromiAnimal Science Department, ETSEA, University of Lleida, Lleida, Catalonia, Spain.ORCID http://orcid.org/0000-0002-9307-3705
Mariona JovéInstitute of Biomedical Research of Lleida (IRBLleida), University of Lleida, Lleida, Spain.
Mariona Pascual-PonsInstitute of Biomedical Research of Lleida (IRBLleida), University of Lleida, Lleida, Spain.
Jose Luis RoyoInstitute of Biomedical Research of Lleida (IRBLleida), University of Lleida, Lleida, Spain.
Rafel RocaspanaGesna Estudis Ambientals, S.L., Linyola, Lleida, Catalonia, Spain.
Enric AparicioGRECO, Institute of Aquatic Ecology, University of Girona, Catalonia, Spain.
Reinald PamplonaInstitute of Biomedical Research of Lleida (IRBLleida), University of Lleida, Lleida, Spain.
Antoni PalauEnvironment and Soil Sciences Department, ETSEA, University of Lleida, Lleida, Spain.
Delfi SanuyAnimal Science Department, ETSEA, University of Lleida, Lleida, Catalonia, Spain.
Joan FiblaInstitute of Biomedical Research of Lleida (IRBLleida), University of Lleida, Lleida, Spain.
Manuel Portero-OtinInstitute of Biomedical Research of Lleida (IRBLleida), University of Lleida, Lleida, Spain.
Universitat de Lleida · ESUniversitat de Girona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AnimalsBehavior, AnimalEcosystemFemaleMaleMetabolic Networks and PathwaysMetabolomeRiversSpainSwimmingTrout

Identifiers

PMID28750027
PMCPMC5531495
OpenAlexW2741167775

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.