Evidence map›Paper›PMID 38245867›Full record

ArticleEnvironmental science & technology2024

Missing Genomic Resources for the Next Generation of Environmental Risk Assessment.

Marc-Sven Roell, Mark-Christoph Ott, Magdalena M Mair, Tobias Pamminger

Abstract read
In one paragraph

Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Marc-Sven RoellR&D Bayer AG, Crop Science Division, Monheim am Rhein 40789, Germany.ORCID 0000-0003-2714-8729
Mark-Christoph OttR&D Bayer AG, Crop Science Division, Monheim am Rhein 40789, Germany.
Magdalena M MairBayreuth Center for Ecology and Environmental Research (BayCEER), Bayreuth 95447, Germany.
Tobias PammingerR&D Bayer AG, Crop Science Division, Monheim am Rhein 40789, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental risk assessment traditionally relies on a wide range of in vivo testing to assess the potential hazards of chemicals in the environment. These tests are often time-consuming and costly and can cause test organisms' suffering. Recent developments of reliable low-cost alternatives, both in vivo- and in silico-based, opened the door to reconsider current toxicity assessment. However, many of these new approach methodologies (NAMs) rely on high-quality annotated genomes for surrogate species of regulatory risk assessment. Currently, a lack of genomic information slows the process of NAM development. Here, we present a phylogenetically resolved overview of missing genomic resources for surrogate species within a regulatory ecotoxicological risk assessment. We call for an organized and systematic effort within the (regulatory) ecotoxicological community to provide these missing genomic resources. Further, we discuss the potential of a standardized genomic surrogate species landscape to enable a robust and nonanimal-reliant ecotoxicological risk assessment in the systems ecotoxicology era.

Indexed as

EcotoxicologyGenomicsRisk Assessmentgenomicsnew approach methodologiesnext generation risk assessmentpredictive ecotoxicologysystems ecotoxicology

Identifiers

PMID38245867
PMCPMC10832041

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.