Evidence map›Paper›PMID 18847479›Full record

ArticleBMC evolutionary biology2008

Signatures of selection in natural populations adapted to chronic pollution.

Larissa M Williams, Marjorie F Oleksiak

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. On biological evolution and environmental solutions.The Science of the total environment · 2020
    Article
  5. Evolutionary Toxicogenomics of the Striped Killifish (International journal of molecular sciences · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Genetic and epigenetic variation inEvolutionary applications · 2017
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. The Elizabeth River Story: A Case Study in Evolutionary Toxicology.Journal of toxicology and environmental health. Part B, Critical reviews · 2015
    Review
  19. Article
  20. Article
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 WilliamsDivision of Marine Biology and Fisheries, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, 4600 Rickenbacker Causeway, Miami, FL 33149, USA. lmwillia@ncsu.edu
Marjorie F Oleksiak

Funding

Microarray Analyses of Polluted Natural PopulationsR01ES011588 · NIEHS · UNIVERSITY OF MIAMI ROSENTEIL SCHOOL · PI OLEKSIAK, MARJORIE F · 2004 to 2008
$1.5M
NIEHS NIH HHS 5 RO1 ES011588NIEHS NIH HHS ES525163
6 · The paper itself

Abstract

backgroundPopulations of the teleost fish Fundulus heteroclitus appear to flourish in heavily polluted and geographically separated Superfund sites. Populations from three Superfund sites (New Bedford Harbor, MA, Newark Bay, NJ, and Elizabeth River, VA) have independently evolved adaptive resistance to chemical pollutants. In these polluted populations, natural selection likely has altered allele frequencies of loci that affect fitness or that are linked to these loci. The aim of this study was to identify loci that exhibit non-neutral behavior in the F. heteroclitus genome in polluted populations versus clean reference populations.

resultsTo detect signatures of natural selection and thus identify genetic bases for adaptation to anthropogenic stressors, we examined allele frequencies for many hundreds of amplified fragment length polymorphism markers among populations of F. heteroclitus. Specifically, we contrasted populations from three Superfund sites (New Bedford Harbor, MA, Newark Bay, NJ, and Elizabeth River, VA) to clean reference populations flanking the polluted sites. When empirical FST values were compared to a simulated distribution of FST values, 24 distinct outlier loci were identified among pairwise comparisons of pollutant impacted F. heteroclitus populations and both surrounding reference populations. Upon removal of all outlier loci, there was a strong correlation (R2=0.79, p<0.0001) between genetic and geographical distance. This apparently neutral evolutionary pattern was not evident when outlier loci were included (R2=0.092, p=0.0721). Two outlier loci were shared between New Bedford Harbor and Elizabeth River populations, and two different loci were shared between Newark Bay and Elizabeth River populations.

conclusionIn total, 1% to 6% of loci are implicated as being under selection or linked to areas of the genome under selection in three F. heteroclitus populations that reside in polluted estuaries. Shared loci among polluted sites indicate that selection may be acting on multiple loci involved in adaptation, and loci shared between polluted sites potentially are involved in a generalized adaptive response.

Indexed as

Selection, GeneticWater Pollutants, ChemicalAdaptation, BiologicalAmplified Fragment Length Polymorphism AnalysisAnimal Population GroupsAnimalsFundulidaeMassachusettsNew JerseyPolymorphism, GeneticVirginiaWater Pollutants, Chemical

Identifiers

PMID18847479
PMCPMC2570689

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.