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https://www.arca.fiocruz.br/handle/icict/36207
METATAXONOMIC ANALYSES REVEAL DIFFERENCES IN AQUIFER BACTERIAL COMMUNITY AS A FUNCTION OF CREOSOTE CONTAMINATION AND ITS POTENTIAL FOR CONTAMINANT REMEDIATION
Applied microbiology
Environmental biotechnology
Environmental impact
Water microbiology
Applied microbiology
Author
Affilliation
Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Microbiologia. Laboratório de Microbiologia Aplicada. Belo Horizonte, MG, Brasil.
Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Microbiologia. Laboratório de Microbiologia Aplicada. Belo Horizonte, MG, Brasil.
Fundação Oswaldo Cruz. Instituto René Rachou. Grupo de Informática e Genômica de Biossistemas. Belo Horizonte, MG, Brasil.
Laboratory of Environmental Microbiology. Institute of Microbiology of the Czech Academy of Sciences – CAS. Prague, Czech Republic.
Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Microbiologia. Laboratório de Microbiologia Aplicada. Belo Horizonte, MG, Brasil.
Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Microbiologia. Laboratório de Microbiologia Aplicada. Belo Horizonte, MG, Brasil.
Fundação Oswaldo Cruz. Instituto René Rachou. Grupo de Informática e Genômica de Biossistemas. Belo Horizonte, MG, Brasil.
Laboratory of Environmental Microbiology. Institute of Microbiology of the Czech Academy of Sciences – CAS. Prague, Czech Republic.
Universidade Federal de Minas Gerais. Instituto de Ciências Biológicas. Departamento de Microbiologia. Laboratório de Microbiologia Aplicada. Belo Horizonte, MG, Brasil.
Abstract
Metataxonomic approach was used to describe the bacterial community from a creosote-contaminated aquifer and to access the potential for in situ bioremediation of the polycyclic aromatic hydrocarbons (PAHs) by biostimulation. In general, the wells with higher PAH contamination had lower richness and diversity than others, using the Shannon and Simpson indices. By the principal coordinate analysis (PCoA) it was possible to observe the clustering of the bacterial community of most wells in response of the presence of PAH contamination. The significance analysis using edgeR package of the R program showed variation in the abundance of some Operational Taxonomic Units (OTUs) of contaminated wells compared to uncontaminated ones. Taxons enriched in the contaminated wells were correlated positively (p < 0.05) with the hydrocarbons, according to redundancy analysis (RDA). All these enriched taxa have been characterized as PAH degrading agents, such as the genus Comamonas, Geobacter, Hydrocarboniphaga, Anaerolinea and Desulfomonile. Additionally, it was possible to predict, with the PICRUSt program, a greater proportion of pathways and genes related to the degradation of PAHs in the wells with higher contamination levels. We conclude that the contaminants promoted the enrichment of several groups of degrading bacteria in the area, which strengthens the feasibility of applying biostimulation as an aquifer remediation strategy.
Keywords
Classification and taxonomyApplied microbiology
Environmental biotechnology
Environmental impact
Water microbiology
Applied microbiology
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