Scarascia Giantommaso, Cheng Hong, Harb Moustapha, Hong Pei-Ying
Biological and Environmental Science & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Water Desalination and Reuse Center (WDRC), Thuwal, 23955-6900, Saudi Arabia.
BMC Microbiol. 2017 Apr 4;17(1):85. doi: 10.1186/s12866-017-0998-2.
Establishing an optimal proportion of nitrifying microbial populations, including ammonia-oxidizing bacteria (AOB), nitrite-oxidizing bacteria (NOB), complete nitrite oxidizers (comammox) and ammonia-oxidizing archaea (AOA), is important for ensuring the efficiency of nitrification in water treatment systems. Hierarchical oligonucleotide primer extension (HOPE), previously developed to rapidly quantify relative abundances of specific microbial groups of interest, was applied in this study to track the abundances of the important nitrifying bacterial populations.
The method was tested against biomass obtained from a laboratory-scale biofilm-based trickling reactor, and the findings were validated against those obtained by 16S rRNA gene-based amplicon sequencing. Our findings indicated a good correlation between the relative abundance of nitrifying bacterial populations obtained using both HOPE and amplicon sequencing. HOPE showed a significant increase in the relative abundance of AOB, specifically Nitrosomonas, with increasing ammonium content and shock loading (p < 0.001). In contrast, Nitrosospira remained stable in its relative abundance against the total community throughout the operational phases. There was a corresponding significant decrease in the relative abundance of NOB, specifically Nitrospira and those affiliated to comammox, during the shock loading. Based on the relative abundance of AOB and NOB (including commamox) obtained from HOPE, it was determined that the optimal ratio of AOB against NOB ranged from 0.2 to 2.5 during stable reactor performance.
Overall, the HOPE method was developed and validated against 16S rRNA gene-based amplicon sequencing for the purpose of performing simultaneous monitoring of relative abundance of nitrifying populations. Quantitative measurements of these nitrifying populations obtained via HOPE would be indicative of reactor performance and nitrification functionality.
建立包括氨氧化细菌(AOB)、亚硝酸氧化细菌(NOB)、完全亚硝酸氧化菌(全程硝化菌)和氨氧化古菌(AOA)在内的硝化微生物种群的最佳比例,对于确保水处理系统中硝化作用的效率至关重要。本研究应用先前开发的用于快速定量特定目标微生物群体相对丰度的分层寡核苷酸引物延伸(HOPE)技术,来追踪重要硝化细菌种群的丰度。
该方法针对从实验室规模的生物膜滴滤反应器获得的生物量进行了测试,其结果通过基于16S rRNA基因的扩增子测序得到的结果进行了验证。我们的研究结果表明,使用HOPE和扩增子测序获得的硝化细菌种群相对丰度之间具有良好的相关性。随着铵含量和冲击负荷的增加,HOPE显示AOB(特别是亚硝化单胞菌属)的相对丰度显著增加(p < 0.001)。相比之下,亚硝化螺菌属在整个运行阶段相对于总群落的相对丰度保持稳定。在冲击负荷期间,NOB(特别是硝化螺菌属和与全程硝化菌相关的菌属)的相对丰度相应显著下降。根据从HOPE获得的AOB和NOB(包括全程硝化菌)的相对丰度,确定在反应器性能稳定期间,AOB与NOB的最佳比例范围为0.2至2.5。
总体而言,开发了HOPE方法,并通过基于16S rRNA基因的扩增子测序进行了验证,目的是同时监测硝化种群的相对丰度。通过HOPE获得的这些硝化种群的定量测量结果将指示反应器性能和硝化功能。