Evidence map›Paper›PMID 30219030›Full record

ArticleBMC evolutionary biology2018

Selection at a genomic region of major effect is responsible for evolution of complex life histories in anadromous steelhead.

Steven J Micheletti, Jon E Hess, Joseph S Zendt, Shawn R Narum

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
9.4field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 63 citations in OpenAlex.

  1. Characterizing the Distribution ofEvolutionary applications · 2026
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  11. Re-evaluating Coho salmon (Evolutionary applications · 2022
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  16. Review
  17. Steelhead (Evolutionary applications · 2020
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  18. Article
  19. Article
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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

4 authors at 2 institutions in 1 country.

Steven J MichelettiColumbia River Inter-Tribal Fish Commission, 3059F National Fish Hatchery Road, Hagerman, ID, 83332, USA. mics@critfc.org.ORCID 0000-0002-3842-0946
Jon E HessColumbia River Inter-Tribal Fish Commission, Portland, OR, 97232, USA.
Joseph S ZendtYakama Nation Fisheries Program, Toppenish, WA, 98948, USA.
Shawn R NarumColumbia River Inter-Tribal Fish Commission, 3059F National Fish Hatchery Road, Hagerman, ID, 83332, USA.
Columbia River Inter-Tribal Fish Commission · USYakama Nation Tribal Council · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisparity in the timing of biological events occurs across a variety of systems, yet the understanding of genetic basis underlying diverse phenologies remains limited. Variation in maturation timing occurs in steelhead trout, which has been associated with greb1L, an oestrogen target gene. Previous techniques that identified this gene only accounted for about 0.5-2.0% of the genome and solely investigated coastal populations, leaving uncertainty on the genetic basis of this trait and its prevalence across a larger geographic scale.

resultsWe used a three-tiered approach to interrogate the genomic basis of complex phenology in anadromous steelhead. First, fine scale mapping with 5.3 million SNPs from resequencing data covering 68% of the genome confirmed a 309-kb region consisting of four genes on chromosome 28, including greb1L, to be the genomic region of major effect for maturation timing. Second, broad-scale characterization of candidate greb1L genotypes across 59 populations revealed unexpected patterns in maturation phenology for inland fish migrating long distances relative to those in coastal streams. Finally, genotypes from 890 PIT-tag tracked steelhead determined associations with early versus late arrival to spawning grounds that were previously unknown.

conclusionsThis study clarifies the genetic bases for disparity in phenology observed in steelhead, determining an unanticipated trait association with premature versus mature arrival to spawning grounds and identifying multiple candidate genes potentially contributing to this variation from a single genomic region of major effect. This illustrates how dense genome mapping and detailed phenotypic characterization can clarify genotype to phenotype associations across geographic ranges of species.

Indexed as

Biological EvolutionGenomeSelection, GeneticAnimal MigrationAnimalsChromosomesGenetics, PopulationGenetic VariationGeographyHaplotypesLikelihood FunctionsOncorhynchus mykissPhylogenyPolymorphism, Single NucleotidePrincipal Component AnalysisAdaptationGenome evolutiongreb1LMigrationOncorhynchusPooled sequencingSexual maturation

Identifiers

PMID30219030
PMCPMC6139179
OpenAlexW2892357605

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.