Evidence map›Paper›PMID 23670266›Full record

ArticleEcotoxicology (London, England)2013

Consequences of a multi-generation exposure to uranium on Caenorhabditis elegans life parameters and sensitivity.

Benoit Goussen, Florian Parisot, Rémy Beaudouin, Morgan Dutilleul, Adeline Buisset-Goussen, Alexandre R R Péry, Jean-Marc Bonzom

Abstract read
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In one paragraph

Article in Ecotoxicology (London, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. An energy-based model to analyze growth data of earthworms exposed to two fungicides.Environmental science and pollution research international · 2020
    Article
  2. Article
  3. 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

7 authors.

Benoit GoussenUnit of Models for Ecotoxicology and Toxicology (METO), INERIS, 60550 Verneuil en Halatte, France. benoit.goussen@gmail.com
Florian Parisot
Rémy Beaudouin
Morgan Dutilleul
Adeline Buisset-Goussen
Alexandre R R Péry
Jean-Marc Bonzom

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The assessment of toxic effects at biologically and ecologically relevant scales is an important challenge in ecosystem protection. Indeed, stressors may impact populations at much longer term than the usual timescale of toxicity tests. It is therefore important to study the evolutionary response of a population under chronic stress. We performed a 16-generation study to assess the evolution of two populations of the ubiquitous nematode Caenorhabditis elegans in control conditions or exposed to 1.1 mM of uranium. Several generations were selected to assess growth, reproduction, survival, and dose-responses relationships, through exposure to a range of concentrations (from 0 to 1.2 mM U) with all endpoints measured daily. Our experiment showed an adaptation of individuals to experimental conditions (increase of maximal length and decrease of fecundity) for both populations. We also observed an increase of adverse effects (reduction of growth and fertility) as a function of uranium concentration. We pointed out the emergence of population differentiation for reproduction traits. In contrast, no differentiation was observed on growth traits. Our results confirm the importance of assessing environmental risk related to pollutant through multi-generational studies.

Indexed as

Adaptation, PhysiologicalAnimalsBody SizeCaenorhabditis elegansDose-Response Relationship, DrugEnvironmental PollutantsFertilityGene-Environment InteractionLife Cycle StagesLongevityReproductionRisk AssessmentUranium CompoundsEnvironmental PollutantsUranium Compounds

Identifiers

What OpenQuestion holds

Textmetadata
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.