Contribution of bacterial biodiversity on the operational performance of a styrene biotrickling filter

温度梯度凝胶电泳 微生物种群生物学 苯乙烯 环境化学 焦测序 生物膜 生物 适应 细菌 化学 生态学 16S核糖体RNA 生物化学 有机化学 遗传学 基因 共聚物 聚合物
作者
Kevin J. Portune,M. Pérez,F. Javier Álvarez‐Hornos,Carmen Gabaldón
出处
期刊:Chemosphere [Elsevier BV]
卷期号:247: 125800-125800 被引量:17
标识
DOI:10.1016/j.chemosphere.2019.125800
摘要

Long-term operational stability of biotrickling filters (BTFs) degrading volatile organic compounds (VOCs) is dependent on both physicochemical as well as biological properties. Effects of increasingly stressful levels of air pollutants on the microbial structure of biofilms within BTFs are not well understood, especially for VOCs such as styrene. To investigate the relationship between biofilm biodiversity and operational stability, the temporal dynamics of a biofilm from a biotrickling filter subjected to stepwise increasing levels of air polluted with styrene was investigated using 16S rDNA pyrosequencing and PCR-denaturing gradient gel electrophoresis (PCR-DGGE). As styrene contaminant loads were increased, microbial community composition was distinctly altered and diversity was initially reduced in early stages but gradually stabilized and increased diversity in later stages, suggesting a recovery and acclimatization period within the microbial community during incremental exposure of the pollutant. Although temporary reductions in known styrene-degrading bacterial genera (Pseudomonas and Rhodococcus) occurred under increased styrene loads, stable BTF performance was maintained due to functional redundancy. New candidate genera for styrene degradation (Azoarcus, Dokdonella) were identified in conditions of high styrene loads, and may have supported the observed stable BTF performance throughout the experiment. Styrene inlet load was found to be important modulator of community composition and may have been partly responsible for the observed temporary reductions of Pseudomonas. Notable differences between dominant genera detected via pyrosequencing compared to species detected by PCR-DGGE suggests that simultaneous implementation of both techniques is valuable for fully characterizing dynamic microbial communities.

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