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Genes predict long distance migration and large body size in a migratory fish, Pacific lamprey

Overview of attention for article published in Evolutionary Applications, September 2014
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Article details
Title
Genes predict long distance migration and large body size in a migratory fish, Pacific lamprey
Published in
Evolutionary Applications, September 2014
DOI 10.1111/eva.12203
Pubmed ID
Authors
Abstract

Elucidation of genetic mechanisms underpinning migratory behavior could help predict how changes in genetic diversity may affect future spatiotemporal distribution of a migratory species. This ability would benefit conservation of one such declining species, anadromous Pacific lamprey (Entosphenus tridentatus). Nonphilopatric migration of adult Pacific lamprey has homogenized population-level neutral variation but has maintained adaptive variation that differentiates groups based on geography, run-timing and adult body form. To investigate causes for this adaptive divergence, we examined 647 adult lamprey sampled at a fixed location on the Columbia River and radiotracked during their subsequent upstream migration. We tested whether genetic variation [94 neutral and adaptive single nucleotide polymorphisms (SNPs) previously identified from a genomewide association study] was associated with phenotypes of migration distance, migration timing, or morphology. Three adaptive markers were strongly associated with morphology, and one marker also correlated with upstream migration distance and timing. Genes physically linked with these markers plausibly influence differences in body size, which is also consistently associated with migration distance in Pacific lamprey. Pacific lamprey conservation implications include the potential to predict an individual's upstream destination based on its genotype. More broadly, the results suggest a genetic basis for intrapopulation variation in migration distance in migratory species.

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The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 3%
United Kingdom 1 1%
Unknown 76 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 21 27%
Student > Ph. D. Student 15 19%
Student > Master 13 16%
Student > Bachelor 9 11%
Other 4 5%
Other 5 6%
Unknown 12 15%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 45 57%
Environmental Science 11 14%
Biochemistry, Genetics and Molecular Biology 5 6%
Computer Science 1 1%
Decision Sciences 1 1%
Other 0 0%
Unknown 16 20%
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 06 March 2015.
All research outputs
#19,156,659
of 27,778,980 outputs
Outputs from Evolutionary Applications
#1,352
of 1,654 outputs
Outputs of similar age
#164,847
of 265,724 outputs
Outputs of similar age from Evolutionary Applications
#22
of 24 outputs
Altmetric has tracked 27,778,980 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,654 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.