Evidence map›Paper›PMID 22787027›Full record

ArticleProceedings. Biological sciences2012

Genetic change for earlier migration timing in a pink salmon population.

Ryan P Kovach, Anthony J Gharrett, David A Tallmon

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  15. Genetic insights into the past, present, and future of a keystone species.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  16. Adaptation, speciation and extinction in the Anthropocene.Proceedings. Biological sciences · 2018
    Review
  17. 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

3 authors.

Ryan P KovachBiology and Wildlife Department, Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK 99775, USA. rpkovach@gmail.com
Anthony J Gharrett
David A Tallmon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To predict how climate change will influence populations, it is necessary to understand the mechanisms, particularly microevolution and phenotypic plasticity, that allow populations to persist in novel environmental conditions. Although evidence for climate-induced phenotypic change in populations is widespread, evidence documenting that these phenotypic changes are due to microevolution is exceedingly rare. In this study, we use 32 years of genetic data (17 complete generations) to determine whether there has been a genetic change towards earlier migration timing in a population of pink salmon that shows phenotypic change; average migration time occurs nearly two weeks earlier than it did 40 years ago. Experimental genetic data support the hypothesis that there has been directional selection for earlier migration timing, resulting in a substantial decrease in the late-migrating phenotype (from more than 30% to less than 10% of the total abundance). From 1983 to 2011, there was a significant decrease--over threefold--in the frequency of a genetic marker for late-migration timing, but there were minimal changes in allele frequencies at other neutral loci. These results demonstrate that there has been rapid microevolution for earlier migration timing in this population. Circadian rhythm genes, however, did not show any evidence for selective changes from 1993 to 2009.

Indexed as

Animal MigrationPhenotypeSelection, GeneticAlaskaAnimalsGene FrequencyGenetic MarkersGlyceraldehyde-3-Phosphate DehydrogenasesSalmonSeasonsTime FactorsGenetic MarkersGlyceraldehyde-3-Phosphate Dehydrogenases

Identifiers

PMID22787027
PMCPMC3415923

What OpenQuestion holds

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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.