School of Civil and Environmental Engineering, Cornell University, Ithaca, NY, United States; Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, United States.
Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, United States.
Water Res. 2024 Nov 15;266:122280. doi: 10.1016/j.watres.2024.122280. Epub 2024 Aug 15.
Polyphosphate Accumulating Organisms (PAOs) microdiversity is a key factor to elucidate the mechanisms involved in the side-stream enhanced biological phosphorus removal (S2EBPR) systems, which has been shown to improve the process stability over conventional EBPR. However, fast, effective and cost-efficient methods to resolve PAO microdiversity in real-world activate sludge samples is still in absence. In this study, we applied oligotyping analysis following the regular 16S rRNA gene amplicon sequencing standard operation pipeline (SOP) to resolve subgenus-level PAO oligotypes, which cannot be achieved using traditional 16S rRNA sequencing SOP. The identified oligotype profiles of PAO-containing genera Ca. Accumulibacter, Tetrasphaera and Comamonas showed distinguished community-level differences across 12 water resource recovery facilities (WRRFs), which would not be revealed at the genus level. The WRRF-level differences were observed larger than the temporal differences in the same WRRF, indicating intrinsic sub-genus level microdiversity fingerprint between EBPR/S2EBPR systems. The identified oligotypes can be associated with known PAO clades phylogenetically, suggesting that oligotyping can suffice as a fast and cost-efficient approach for PAO microdiversity profiling. In addition, network analysis can be used to identify coexistence patterns between oligotypes with respect to EBPR/S2EBPR configurations and performance, enabling more detailed analysis between EBPR system performance and PAOs microdiversity. Correlation analyses between oligotype profiles and key EBPR performance parameters revealed potential different biological functional traits among these PAO species with P-removal performance implications.
聚磷酸盐积累菌(PAOs)的微多样性是阐明侧流强化生物除磷(S2EBPR)系统相关机制的关键因素,该系统已被证明可以提高传统 EBPR 的工艺稳定性。然而,在实际活性污泥样品中解析 PAO 微多样性的快速、有效且具有成本效益的方法仍然缺乏。在这项研究中,我们应用寡型分析方法,遵循常规的 16S rRNA 基因扩增子测序标准操作流程(SOP),以解析亚属水平的 PAO 寡型,这是传统的 16S rRNA 测序 SOP 无法实现的。含 PAO 的属(如 Ca. Accumulibacter、Tetrasphaera 和 Comamonas)的鉴定寡型谱显示,在 12 个水资源回收设施(WRRFs)之间存在明显的群落水平差异,而在属水平上则无法揭示这些差异。WRRF 水平的差异大于同一 WRRF 中的时间差异,表明 EBPR/S2EBPR 系统之间存在内在的亚属水平微多样性指纹。鉴定的寡型可以与已知的 PAO 进化枝相关联,这表明寡型分析可以作为一种快速且具有成本效益的 PAO 微多样性分析方法。此外,网络分析可用于根据 EBPR/S2EBPR 的配置和性能识别寡型之间的共存模式,从而可以在 EBPR 系统性能和 PAO 微多样性之间进行更详细的分析。寡型谱与关键 EBPR 性能参数之间的相关性分析揭示了这些具有 P 去除性能影响的 PAO 物种之间可能存在不同的生物学功能特征。