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Using Network Analysis and Predictive Functional Analysis to Explore the Fluorotelomer Biotransformation Potential of Soil Microbial Communities.
Dong, Sheng; Yan, Peng-Fei; Mezzari, Melissa P; Abriola, Linda M; Pennell, Kurt D; Cápiro, Natalie L.
Affiliation
  • Dong S; Department of Biological and Environmental Engineering, Cornell University, 214 Riley-Robb Hall, 111 Wing Drive, Ithaca, New York 14853, United States.
  • Yan PF; Department of Biological and Environmental Engineering, Cornell University, 214 Riley-Robb Hall, 111 Wing Drive, Ithaca, New York 14853, United States.
  • Mezzari MP; Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas 77030, United States.
  • Abriola LM; School of Engineering, Brown University, Providence, Rhode Island 02912, United States.
  • Pennell KD; School of Engineering, Brown University, Providence, Rhode Island 02912, United States.
  • Cápiro NL; Department of Biological and Environmental Engineering, Cornell University, 214 Riley-Robb Hall, 111 Wing Drive, Ithaca, New York 14853, United States.
Environ Sci Technol ; 58(17): 7480-7492, 2024 Apr 30.
Article in En | MEDLINE | ID: mdl-38639388
ABSTRACT
Microbial transformation of per- and polyfluoroalkyl substances (PFAS), including fluorotelomer-derived PFAS, by native microbial communities in the environment has been widely documented. However, few studies have identified the key microorganisms and their roles during the PFAS biotransformation processes. This study was undertaken to gain more insight into the structure and function of soil microbial communities that are relevant to PFAS biotransformation. We collected 16S rRNA gene sequencing data from 82 fluorotelomer alcohol and 62 fluorotelomer sulfonate biotransformation studies conducted in soil microcosms under various redox conditions. Through co-occurrence network analysis, several genera, including Variovorax, Rhodococcus, and Cupriavidus, were found to likely play important roles in the biotransformation of fluorotelomers. Additionally, a metagenomic prediction approach (PICRUSt2) identified functional genes, including 6-oxocyclohex-1-ene-carbonyl-CoA hydrolase, cyclohexa-1,5-dienecarbonyl-CoA hydratase, and a fluoride-proton antiporter gene, that may be involved in defluorination. This study pioneers the application of these bioinformatics tools in the analysis of PFAS biotransformation-related sequencing data. Our findings serve as a foundational reference for investigating enzymatic mechanisms of microbial defluorination that may facilitate the development of efficient microbial consortia and/or pure microbial strains for PFAS biotransformation.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Soil Microbiology / Biotransformation Language: En Journal: Environ Sci Technol Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Soil Microbiology / Biotransformation Language: En Journal: Environ Sci Technol Year: 2024 Document type: Article Affiliation country:
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