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

Overview of attention for article published in BMC Ecology and Evolution, September 2018
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Title
Selection at a genomic region of major effect is responsible for evolution of complex life histories in anadromous steelhead
Published in
BMC Ecology and Evolution, September 2018
DOI 10.1186/s12862-018-1255-5
Pubmed ID
Authors

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

Abstract

Disparity 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. We 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. This 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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Researcher 10 17%
Student > Master 7 12%
Student > Bachelor 6 10%
Professor 2 3%
Other 7 12%
Unknown 12 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 44%
Biochemistry, Genetics and Molecular Biology 6 10%
Environmental Science 5 8%
Unspecified 2 3%
Veterinary Science and Veterinary Medicine 2 3%
Other 4 7%
Unknown 14 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 October 2018.
All research outputs
#19,954,338
of 25,385,509 outputs
Outputs from BMC Ecology and Evolution
#3,171
of 3,714 outputs
Outputs of similar age
#255,421
of 348,472 outputs
Outputs of similar age from BMC Ecology and Evolution
#48
of 53 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.