Literature DB >> 24642550

The physiological basis of the migration continuum in brown trout (Salmo trutta).

Mikkel Boel1, Kim Aarestrup, Henrik Baktoft, Torben Larsen, Steffen Søndergaard Madsen, Hans Malte, Christian Skov, Jon C Svendsen, Anders Koed.   

Abstract

Partial migration is common in many animal taxa; however, the physiological variation underpinning migration strategies remains poorly understood. Among salmonid fishes, brown trout (Salmo trutta) is one of the species that exhibits the most complex variation in sympatric migration strategies, expressed as a migration continuum, ranging from residency to anadromy. In looking at brown trout, our objective with this study was to test the hypothesis that variation in migration strategies is underpinned by physiological variation. Prior to migration, physiological samples were taken from fish in the stream and then released at the capture site. Using telemetry, we subsequently classified fish as resident, short-distance migrants (potamodromous), or long-distance migrants (potentially anadromous). Our results revealed that fish belonging to the resident strategy differed from those exhibiting any of the two migratory strategies. Gill Na,K-ATPase activity, condition factor, and indicators of nutritional status suggested that trout from the two migratory strategies were smoltified and energetically depleted before leaving the stream, compared to those in the resident strategy. The trout belonging to the two migratory strategies were generally similar; however, lower triacylglycerides levels in the short-distance migrants indicated that they were more lipid depleted prior to migration compared with the long-distance migrants. In the context of migration cost, we suggest that additional lipid depletion makes migrants more inclined to terminate migration at the first given feeding opportunity, whereas individuals that are less lipid depleted will migrate farther. Collectively, our data suggest that the energetic state of individual fish provides a possible mechanism underpinning the migration continuum in brown trout.

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Year:  2014        PMID: 24642550     DOI: 10.1086/674869

Source DB:  PubMed          Journal:  Physiol Biochem Zool        ISSN: 1522-2152            Impact factor:   2.247


  15 in total

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2.  Social status affects lipid metabolism in rainbow trout, Oncorhynchus mykiss.

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4.  The effects of Medieval dams on genetic divergence and demographic history in brown trout populations.

Authors:  Michael M Hansen; Morten T Limborg; Anne-Laure Ferchaud; José-Martin Pujolar
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Review 5.  Why evolutionary biologists should get seriously involved in ecological monitoring and applied biodiversity assessment programs.

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Journal:  Genome Biol Evol       Date:  2018-06-01       Impact factor: 3.416

7.  The influence of initial developmental status on the life-history of sea trout (Salmo trutta).

Authors:  Diego Del Villar-Guerra; Martin H Larsen; Henrik Baktoft; Anders Koed; Kim Aarestrup
Journal:  Sci Rep       Date:  2019-09-17       Impact factor: 4.379

8.  Marine habitat use and feeding ecology of introduced anadromous brown trout at the colonization front of the sub-Antarctic Kerguelen archipelago.

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Journal:  Sci Rep       Date:  2021-06-07       Impact factor: 4.379

9.  Alternative migratory tactics in brown trout (Salmo trutta) are underpinned by divergent regulation of metabolic but not neurological genes.

Authors:  Robert Wynne; Louise C Archer; Stephen A Hutton; Luke Harman; Patrick Gargan; Peter A Moran; Eileen Dillane; Jamie Coughlan; Thomas F Cross; Philip McGinnity; Thomas J Colgan; Thomas E Reed
Journal:  Ecol Evol       Date:  2021-06-02       Impact factor: 2.912

10.  Phenotypic variation in metabolism and morphology correlating with animal swimming activity in the wild: relevance for the OCLTT (oxygen- and capacity-limitation of thermal tolerance), allocation and performance models.

Authors:  Henrik Baktoft; Lene Jacobsen; Christian Skov; Anders Koed; Niels Jepsen; Søren Berg; Mikkel Boel; Kim Aarestrup; Jon C Svendsen
Journal:  Conserv Physiol       Date:  2016-01-11       Impact factor: 3.079

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