Using advanced DNA sequence analysis, a research team led by NYU Tandon School of Engineering's Assistant Professor Elizabeth Hénaff has discovered that tiny organisms in Brooklyn's highly contaminated Gowanus Canal have developed a comprehensive collection of pollution-fighting genes. The findings – covered by Popular Science, among other outlets – were published in the Journal of Applied Microbiology on April 15, 2025. The team identified 455 species of microorganisms wielding 64 different biochemical pathways to degrade pollutants and 1,171 genes to process heavy metals. This suggests the potential of a cheaper, more sustainable, and less disruptive method for cleaning contaminated waterways than the current oft-used dredging operations. The researchers also discovered 2,300 novel genetic sequences that could enable microbes to produce potentially valuable biochemical compounds for medicine, industry, or environmental applications. "We found what amounts to nature's own toxic cleanup manual, but with a crucial warning," said Hénaff, who sits in NYU Tandon's Technology, Culture and Society Department and is a member of Tandon's Center for Urban Science + Progress. "These microbes have stories to tell that go beyond scientific data." Gowanus sediment on display in CHANNEL, an immersive installation at BioBAT Art Space in Brooklyn, New York that illustrates the researchers' microbial study of the waterway. Photo credit: Elizabeth Hénaff To communicate these stories effectively, Hénaff and colleagues created CHANNEL, an immersive installation at BioBAT Art Space in Brooklyn, New York featuring sculpture, prints, sound, and projections alongside over 300 gallons of native Gowanus sediment and water that has been growing over the last 9 months. The Living Interfaces Lab, Hénaff's research group, uses methods from sciences and arts to address pressing urban issues. "While more research is needed to understand how to cooperate with these organisms effectively, the di...
First seen: 2025-05-20 01:57
Last seen: 2025-05-20 04:57