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Screening of metallic pollution in complex environmental samples through a transcriptomic fingerprint method
Mickael Cregut1,2, Anna Hua3, Sulivan Jouanneau3
1University of Nantes, Oniris, CNRS, GEPEA, UMR 6144, F-85000, La Roche sur Yon, France. mickael.cregut@univ-nantes.fr.
Environmental Science and Pollution Research International
|August 3, 2021
Summary
This study introduces a novel transcriptomic reporter system for assessing environmental ecotoxicity. It efficiently identifies metallic contamination in diverse samples, improving upon traditional methods.
Area of Science:
- Environmental Science
- Microbiology
- Toxicology
Background:
- Assessing waste ecotoxicity is challenging due to sample complexity and diverse contaminants.
- Traditional methods often fail to identify specific pollutants, limiting effective remediation strategies.
Purpose of the Study:
- To develop and validate a transcriptomic approach for characterizing metallic ecotoxicity in environmental samples.
- To establish a reliable method for identifying and quantifying metal contamination in complex matrices.
Main Methods:
- Utilized a library of 1870 fluorescent transcriptomic reporters from Escherichia coli K12 MG1655.
- Evaluated the system's reliability using 6 metallic pollutants in various pure and complex matrices.
- Developed a statistical model to analyze transcriptomic fingerprints and assess toxicity levels.
Main Results:
- Metallic contamination affected 4.5–10.2% of the E. coli transcriptomic fingerprint.
- A subset of 175 reporters proved sufficient for characterizing metallic contamination across different sample types.
- The statistical model achieved 93–98% confidence in distinguishing metallic contamination patterns and toxicity levels.
- Validated the method on 17 complex matrices, including wastewater, soil, and river water.
Conclusions:
- The transcriptomic reporter system offers a powerful tool for screening unknown environmental samples for metallic contamination.
- This method provides insights into metal bioavailability and associated toxicity, guiding further analysis with traditional biosensors and analytical techniques.
