Evidence map›Paper›PMID 24671976›Full record

ArticleProceedings. Biological sciences2014

Rapid parallel evolution of standing variation in a single, complex, genomic region is associated with life history in steelhead/rainbow trout.

Devon E Pearse, Michael R Miller, Alicia Abadía-Cardoso, John Carlos Garza

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

78 citing papers in PubMed.

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18 more citing papers are in PubMed but not listed here.

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.

Devon E PearseFisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, , 110 Shaffer Road, Santa Cruz, CA 95060, USA, Institute of Marine Sciences, University of California, , Santa Cruz, CA 95060, USA, Institute of Molecular Biology, University of Oregon, , Eugene, OR 97403, USA, Department of Animal Science, University of California, , One Shields Avenue, Davis, CA 95616, USA.
Michael R Miller
Alicia Abadía-Cardoso
John Carlos Garza

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid adaptation to novel environments may drive changes in genomic regions through natural selection. Such changes may be population-specific or, alternatively, may involve parallel evolution of the same genomic region in multiple populations, if that region contains genes or co-adapted gene complexes affecting the selected trait(s). Both quantitative and population genetic approaches have identified associations between specific genomic regions and the anadromous (steelhead) and resident (rainbow trout) life-history strategies of Oncorhynchus mykiss. Here, we use genotype data from 95 single nucleotide polymorphisms and show that the distribution of variation in a large region of one chromosome, Omy5, is strongly associated with life-history differentiation in multiple above-barrier populations of rainbow trout and their anadromous steelhead ancestors. The associated loci are in strong linkage disequilibrium, suggesting the presence of a chromosomal inversion or other rearrangement limiting recombination. These results provide the first evidence of a common genomic basis for life-history variation in O. mykiss in a geographically diverse set of populations and extend our knowledge of the heritable basis of rapid adaptation of complex traits in novel habitats.

Indexed as

Biological EvolutionGene ExpressionGenomeSelection, GeneticAnimal MigrationAnimalsCaliforniaChromosomesEcosystemOncorhynchus mykissOregonadaptationanadromyphenotypic plasticitypolymorphismsalmonid

Identifiers

PMID24671976
PMCPMC3996610

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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.