A hybrid approach utilising adaptive laboratory evolution and gene expression analysis: How adaptive evolution improves PAHs biodegradation.
Parmar M, Patel A, Joshi C, Patel R, Gosai H
Phytoremediation
Contaminated brownfields and roadside soils laced with asphalt-related chemicals could be cleaned up using these toughened bacteria, potentially making formerly dead ground safe for gardens, urban farms, or public green spaces again.
Certain pollutants from burning fossil fuels get stuck in soil and are very hard to remove — they're basically invisible poisons that don't break down easily. Researchers took naturally occurring soil bacteria and 'trained' them over time to survive in tough conditions like salty or acidic soil, which also made the bacteria much better at eating those pollutants. When tested in realistic soil conditions, the trained bacterial team destroyed nearly 86% of the pollutants in just 90 days.
Key Findings
An evolved consortium of three bacterial strains achieved 85.65% degradation of polycyclic aromatic hydrocarbons (PAHs) within 90 days in a soil-slurry system.
Adaptive laboratory evolution under progressive temperature, salinity, and acidic pH stress improved both stress tolerance and pollutant-degrading performance compared to individual strains.
Transcriptomic analysis showed increased expression of key metabolic genes — including oxygenases and ring-cleavage enzymes — indicating the bacteria evolved enhanced biochemical machinery for breaking down aromatic pollutants.
chevron_right Technical Summary
Scientists trained soil bacteria to break down toxic tar-like pollutants more effectively by gradually exposing them to harsher conditions — higher salt, heat, and acidity — then confirmed the evolved microbes cleaned up nearly 86% of contaminants in simulated soil within three months.
Abstract Preview
Polycyclic aromatic hydrocarbons (PAHs) are persistent environmental contaminants that pose significant ecological and human health risks due to their toxicity, hydrophobicity, and resistance to de...
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