
doi: 10.1111/mmi.14062
pmid: 29995976
SummaryThe growing release of organic contaminants into the environment due to industrial processes has inevitably increased the incidence of their exposure to humans which often results in negative health effects. Microorganisms are also increasingly exposed to the pollutants, yet their diverse metabolic capabilities enable them to survive toxic exposure making these degradation mechanisms important to understand. Fungi are the most abundant microorganisms in the environment, yet less has been studied to understand their ability to degrade contaminants than in bacteria. This includes specific enzyme production and the genetic regulation which guides metabolic networks. This review intends to compare what is known about bacterial and fungal degradation of toxic compounds using benzo(a)pyrene as a relevant example. Most research is done in the context of using fungi for bioremediation, however, we intend to also point out how fungal metabolism may impact human health in other ways including through their participation in microbial communities in the human gut and skin and through inhalation of fungal spores.
Biodegradation, Environmental, Bacteria, Benzo(a)pyrene, Fungi, Humans, Environmental Pollutants, Environmental Pollution, Soil Microbiology
Biodegradation, Environmental, Bacteria, Benzo(a)pyrene, Fungi, Humans, Environmental Pollutants, Environmental Pollution, Soil Microbiology
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 78 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
