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Systems-Level Insights Into Microbial Naphthalene Biodegradation: An Integrated In Silico and Omics Perspective.

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Microbial bioremediation offers a sustainable solution for naphthalene, a harmful polycyclic aromatic hydrocarbon. Integrating omics and computational tools enhances our ability to clean up naphthalene pollution effectively.

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Area of Science:

  • Environmental Science
  • Microbiology
  • Biotechnology

Background:

  • Naphthalene, a priority polycyclic aromatic hydrocarbon (PAH), poses significant environmental and health risks due to its persistence and toxicity.
  • Its widespread presence in crude oil, combustion products, and emissions necessitates effective remediation strategies.
  • Microbial bioremediation is a promising eco-friendly and cost-efficient approach for degrading naphthalene.

Purpose of the Study:

  • To review current knowledge on microbial naphthalene degradation.
  • To highlight the role of omics technologies and computational modeling in advancing bioremediation.
  • To emphasize the need for an integrated approach to overcome current challenges in naphthalene cleanup.

Main Methods:

  • Literature review consolidating research on microbial degradation pathways, key taxa, genes, and enzymes involved in naphthalene breakdown.
  • Analysis of advances in omics technologies (genomics, transcriptomics, etc.) for understanding microbial responses to naphthalene.
  • Exploration of computational tools, including in silico modeling, machine learning, and systems biology, for predicting degradation and designing microbial consortia.

Main Results:

  • Omics technologies have revealed novel microbial players, metabolic pathways, and stress responses related to naphthalene degradation.
  • Computational modeling and systems biology aid in predicting degradation kinetics and designing optimized microbial consortia for field applications.
  • Despite progress, challenges like environmental variability and co-contaminant effects persist, hindering direct lab-to-field translation.

Conclusions:

  • An integrative framework combining microbial ecology, omics data, and computational modeling is crucial for advancing naphthalene bioremediation.
  • Harnessing microbial metabolic diversity through advanced technologies offers a sustainable path for managing naphthalene pollution in the Anthropocene.
  • Future efforts should focus on bridging the gap between laboratory findings and real-world applications for effective environmental cleanup.