Evidence map›Paper›PMID 21072843›Full record

ArticleEnvironmental toxicology and chemistry2011

Genomic approaches with natural fish populations from polluted environments.

Goran Bozinovic, Marjorie F Oleksiak

Abstract read
In one paragraph

Article in Environmental toxicology and chemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Evolutionary Toxicogenomics of the Striped Killifish (International journal of molecular sciences · 2019
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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.

Goran BozinovicNorth Carolina State University, Raleigh, North Carolina, USA.
Marjorie F Oleksiak

Funding

Zebrafish as a Detector of Organophosphate ExposureP42ES010356 · NIEHS · DUKE UNIVERSITY · PI EDWARD D LEVIN · 2000 to 2026
$56.2M
Training CoreP42ES007381 · NIEHS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI HAHN, MARK E · 1995 to 2019
$46.1M
Microarray Analyses of Polluted Natural PopulationsR01ES011588 · NIEHS · UNIVERSITY OF MIAMI ROSENTEIL SCHOOL · PI OLEKSIAK, MARJORIE F · 2004 to 2008
$1.5M
NIEHS NIH HHS P42 ES007381NIEHS NIH HHS P42 ES010356NIEHS NIH HHS R01 ES011588
6 · The paper itself

Abstract

Transcriptomics and population genomics are two complementary genomic approaches that can be used to gain insight into pollutant effects in natural populations. Transcriptomics identify altered gene expression pathways, and population genomics approaches more directly target the causative genomic polymorphisms. Neither approach is restricted to a predetermined set of genes or loci. Instead, both approaches allow a broad overview of genomic processes. Transcriptomics and population genomic approaches have been used to explore genomic responses in populations of fish from polluted environments and have identified sets of candidate genes and loci that appear biologically important in response to pollution. Often differences in gene expression or loci between polluted and reference populations are not conserved among polluted populations, suggesting a biological complexity that we do not yet fully understand. As genomic approaches become less expensive with the advent of new sequencing and genotyping technologies, they will be more widely used in complementary studies. However, although these genomic approaches are immensely powerful for identifying candidate genes and loci, the challenge of determining biological mechanisms that link genotypes and phenotypes remains.

Indexed as

AnimalsEnvironmental PollutantsFishesGene Expression ProfilingGenetics, PopulationGenomicsHigh-Throughput Nucleotide SequencingMicroarray AnalysisWater PollutantsWater PollutionEnvironmental PollutantsWater Pollutants

Identifiers

PMID21072843
PMCPMC3161509

What OpenQuestion holds

Textmetadata
LicenceTDM
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.