Evidence map›Paper›PMID 31197849›Full record

ReviewJournal of fish biology2019

Anadromy, potamodromy and residency in brown trout Salmo trutta: the role of genes and the environment.

Andrew Ferguson, Thomas E Reed, Tom F Cross, Philip McGinnity, Paulo A Prodöhl

Abstract readReview
In one paragraph

Review in Journal of fish biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
–field-weighted citation impact
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

51 citing papers in PubMed.

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  16. Uncovering bighorn sheep life-history trajectories in multidimensional trait space.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Andrew FergusonSchool of Biological Sciences, Queen's University Belfast, Belfast, UK.ORCID https://orcid.org/0000-0001-5459-9985
Thomas E ReedSchool of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland.ORCID https://orcid.org/0000-0002-2993-0477
Tom F CrossSchool of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland.
Philip McGinnitySchool of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland.
Paulo A ProdöhlSchool of Biological Sciences, Queen's University Belfast, Belfast, UK.ORCID https://orcid.org/0000-0001-8570-9964

Funding

Environmental Protection Agency (IE) PhD EPA AwardERC Starting Grant 639192-ALHEuropean Research Council 639192-ALHgrant-in-aid RESPI/FS/16/01Inland Fisheries Ireland Salmo trutta population geneticsScience Foundation Ireland 15/IA/3028Science Foundation Ireland 16/BBSRC/3316
6 · The paper itself

Abstract

Brown trout Salmo trutta is endemic to Europe, western Asia and north-western Africa; it is a prominent member of freshwater and coastal marine fish faunas. The species shows two resident (river-resident, lake-resident) and three main facultative migratory life histories (downstream-upstream within a river system, fluvial-adfluvial potamodromous; to and from a lake, lacustrine-adfluvial (inlet) or allacustrine (outlet) potamodromous; to and from the sea, anadromous). River-residency v. migration is a balance between enhanced feeding and thus growth advantages of migration to a particular habitat v. the costs of potentially greater mortality and energy expenditure. Fluvial-adfluvial migration usually has less feeding improvement, but less mortality risk, than lacustrine-adfluvial or allacustrine and anadromous, but the latter vary among catchments as to which is favoured. Indirect evidence suggests that around 50% of the variability in S. trutta migration v. residency, among individuals within a population, is due to genetic variance. This dichotomous decision can best be explained by the threshold-trait model of quantitative genetics. Thus, an individual's physiological condition (e.g., energy status) as regulated by environmental factors, genes and non-genetic parental effects, acts as the cue. The magnitude of this cue relative to a genetically predetermined individual threshold, governs whether it will migrate or sexually mature as a river-resident. This decision threshold occurs early in life and, if the choice is to migrate, a second threshold probably follows determining the age and timing of migration. Migration destination (mainstem river, lake, or sea) also appears to be genetically programmed. Decisions to migrate and ultimate destination result in a number of subsequent consequential changes such as parr-smolt transformation, sexual maturity and return migration. Strong associations with one or a few genes have been found for most aspects of the migratory syndrome and indirect evidence supports genetic involvement in all parts. Thus, migratory and resident life histories potentially evolve as a result of natural and anthropogenic environmental changes, which alter relative survival and reproduction. Knowledge of genetic determinants of the various components of migration in S. trutta lags substantially behind that of Oncorhynchus mykiss and other salmonines. Identification of genetic markers linked to migration components and especially to the migration-residency decision, is a prerequisite for facilitating detailed empirical studies. In order to predict effectively, through modelling, the effects of environmental changes, quantification of the relative fitness of different migratory traits and of their heritabilities, across a range of environmental conditions, is also urgently required in the face of the increasing pace of such changes.

Indexed as

Animal MigrationAnimalsEcosystemEnergy MetabolismFemaleInternship and ResidencyLakesMaleQuantitative Trait LociReproductionRiversSexual Behavior, AnimalTroutallacustrinefluvial-adfluviallacustrine-adfluvialphysiological conditionthreshold trait

Identifiers

PMID31197849
PMCPMC6771713

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LicenceCC BY
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Registered trials

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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.