Evidence map›Paper›PMID 21220761›Full record

ArticleMolecular biology and evolution2011

Ecologically and evolutionarily important SNPs identified in natural populations.

Larissa M Williams, Marjorie F Oleksiak

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  10. Review
  11. Effects of marker type and filtering criteria onRoyal Society open science · 2019
    Article
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  14. Review
  15. Article
  16. Adaptive capabilities and fitness consequences associated with pollution exposure in fish.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    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

2 authors.

Larissa M WilliamsDepartment of Environmental and Molecular Toxicology, North Carolina State University, NC, USA.
Marjorie F Oleksiak

Funding

TRAINING IN BIOCHEMICAL AND ENVIRONMENTAL TOXICOLOGYT32ES007046 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Seth William Kullman · 1985 to 2026
$5.1M
Microarray Analyses of Polluted Natural PopulationsR01ES011588 · NIEHS · UNIVERSITY OF MIAMI ROSENTEIL SCHOOL · PI OLEKSIAK, MARJORIE F · 2004 to 2008
$1.5M
NIEHS NIH HHS 5R01 ES011588NIEHS NIH HHS ES007046NIEHS NIH HHS R01 ES011588NIEHS NIH HHS T32 ES007046
6 · The paper itself

Abstract

Evolution by natural selection acts on natural populations amidst migration, gene-by-environmental interactions, constraints, and tradeoffs, which affect the rate and frequency of adaptive change. We asked how many and how rapidly loci change in populations subject to severe, recent environmental changes. To address these questions, we used genomic approaches to identify randomly selected single nucleotide polymorphisms (SNPs) with evolutionarily significant patterns in three natural populations of Fundulus heteroclitus that inhabit and have adapted to highly polluted Superfund sites. Three statistical tests identified 1.4-2.5% of SNPs that were significantly different from the neutral model in each polluted population. These nonneutral patterns in populations adapted to highly polluted environments suggest that these loci or closely linked loci are evolving by natural selection. One SNP identified in all polluted populations using all tests is in the gene for the xenobiotic metabolizing enzyme, cytochrome P4501A (CYP1A), which has been identified previously as being refractory to induction in the three highly polluted populations. Extrapolating across the genome, these data suggest that rapid evolutionary change in natural populations can involve hundreds of loci, a few of which will be shared in independent events.

Indexed as

Evolution, MolecularGenetics, PopulationAllelesAnimalsEcosystemFundulidaeGene FrequencyGenetic LociModels, GeneticPhylogeographyPolymorphism, Single NucleotideSelection, Genetic

Identifiers

PMID21220761
PMCPMC3098511

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.