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Unlocking and functional profiling of the bacterial communities in diesel tanks upon additive treatment

机译:经过添加剂处理的柴油箱中细菌群落的解锁和功能分析

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Microbial growth inside fuel storage tanks causes serious financial and operational problems. We assessed the relationship of two biocides with the diesel microbiome in five storage tanks. After 35 days of treatment, 16S rDNA amplicon sequencing was performed. Sequences were clustered into operational taxonomic units using QIIME and metagenome functional profile was inferred using PICRUSt. Proteobacteria was the predominant phylum in all samples. In general, Burkholderia, Stenotrophomonas, Ralstonia, and Acinetobacter were the most abundant genera. Five less frequent genera and four pathways were differently distributed among groups (p 0.05). Using next generation sequencing, it was possible to detect uncultured, less frequent diesel associated taxa and specific pathways possibly leading to biocide resistance. Despite being a currently used strategy in the management of diesel tanks to avoid biodeterioration, the biocides tested were not effective in causing significant changes in the microbiota.
机译:燃料储罐内的微生物生长会导致严重的财务和运营问题。我们评估了两种杀菌剂与柴油微生物组在五个储罐中的关系。处理35天后,进行16S rDNA扩增子测序。使用QIIME将序列聚类为可操作的分类单位,并使用PICRUSt推断出元基因组功能概况。变形杆菌是所有样品中最主要的门。通常,伯克霍尔德氏菌,嗜麦芽窄食单胞菌,罗尔斯通氏菌和不动杆菌是最丰富的属。五个较低的属和四个途径在各组之间的分布不同(p <0.05)。使用下一代测序,可以检测未培养的,频率较低的柴油相关分类单元和可能导致杀生物剂抗性的特定途径。尽管目前在管理柴油箱中使用了避免生物降解的策略,但是所测试的杀生物剂并不能有效地引起微生物群的显着变化。

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