ReviewFundamental research2026
Molecular bioindicators for assessing environmental impacts of emerging contaminants.
Review in Fundamental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emerging contaminants (ECs) exert subtle yet persistent pressures on environmental systems, often escaping detection by traditional chemical or ecological monitoring. Molecular bioindicators, i.e., genes, enzymes, or pathways whose presence, abundance, or expression reflects contaminant exposure or biological stress, offer a mechanistic basis to trace pollutant fate and functional disruption. These include degradation and transformation genes reflecting detoxification potential, resistance and adaptation genes such as antimicrobial resistance determinants, and toxicity-response genes indicating metabolic or physiological stress across microbial and higher organisms. Although numerous functional genes and pathways associated with ECs have been identified and increasingly explored in environmental studies, their interpretation as molecular bioindicators remains fragmented, with limited standardization in bioindicator selection, sensitivity evaluation, and cross-system validation. This review synthesizes current methodologies for molecular bioindicator discovery, spanning culture-dependent functional assays, strain-level genomics, and community-scale omics integration, and highlights how combining mechanistic verification with data-driven approaches can enhance interpretability and transferability. To facilitate consistent validation and reuse, we further propose a structured, community-curated database linking contaminants, molecular bioindicator types, ecological contexts, and evidence tiers. By linking molecular responses to contaminant stress with measurable ecological outcomes, molecular bioindicators can offer a mechanistically grounded basis for interpreting EC impacts and support more integrative and evidence-based environmental risk assessment.
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Registered trials
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.