Gulf Ecosystem Measurement and Modeling Division, US EPA Center for Environmental Measurement and Modeling, 1 Sabine Island Drive, Gulf Breeze, FL, 32561, USA.
Groundwater Characterization & Remediation Division, US EPA Center for Environmental Solutions and Emergency Response, Robert S. Kerr Environmental Research Center, Ada, OK, 74820, USA.
Curr Microbiol. 2021 Jun;78(6):2298-2316. doi: 10.1007/s00284-021-02498-6. Epub 2021 Apr 27.
Cyanobacterial communities of three co-located eutrophic sandpit lakes were surveyed during 2016 and 2017 over season and depth using high-throughput DNA sequencing of the 16S rRNA gene. All three lakes were stratified except during April 2017 when the lakes were recovering from a strong mixing event. 16S rRNA gene V4 sequences were parsed into operational taxonomic units (OTUs) at 99% sequence identity. After rarefaction of 139 samples to 25,000 sequences per sample, a combined total of 921,529 partial 16S rRNA gene sequences were identified as cyanobacteria. They were binned into 19,588 unique cyanobacterial OTUs. Of these OTUs, 11,303 were Cyanobium. Filamentous Planktothrix contributed 1537 and colonial Microcystis contributed 265. The remaining 6482 OTUs were considered unclassified. For Planktothrix and Microcystis one OTU accounted for greater than 95% of the total sequences for each genus. However, in both cases the non-dominant OTUs clustered with the dominant OTUs by date, lake, and depth. All Planktothrix OTUs and a single Cyanobium OTU were detected below the oxycline. All other Cyanobium and Microcystis OTUs were detected above the oxycline. The distribution of Cyanobium OTUs between lakes and seasons can be explained by an epidemic-like response where individual OTUs clonally rise from a diverse hypolimnion population when conditions are appropriate. The importance of using 99% identity over the more commonly used 97% is discussed with respect to cyanobacterial community structure. The approach described here can provide another valuable tool for assessing cyanobacterial populations and provide greater insight into the controls of cyanobacterial blooms.
对三个位于同一地点的富营养化沙坑湖的蓝藻群落进行了调查,这些湖在 2016 年和 2017 年的季节和深度上都使用高通量 DNA 测序对 16S rRNA 基因进行了研究。除了 2017 年 4 月这些湖正在从强烈的混合事件中恢复之外,所有三个湖都分层。16S rRNA 基因 V4 序列在 99%序列同一性下被解析为操作分类单元 (OTU)。对 139 个样本进行 139 个样本的 25000 个序列的稀疏化后,总共鉴定出 921529 个部分 16S rRNA 基因序列为蓝藻。它们被分为 19588 个独特的蓝藻 OTU。其中,11303 个是 Cyanobium。丝状的 Planktothrix 贡献了 1537 个,殖民地的 Microcystis 贡献了 265 个。其余 6482 个 OTU 被认为是未分类的。对于 Planktothrix 和 Microcystis,一个 OTU 占每个属的总序列的 95%以上。然而,在这两种情况下,非优势 OTU 都按日期、湖泊和深度与优势 OTU 聚类。所有 Planktothrix OTU 和一个单一的 Cyanobium OTU 都在氧跃层以下被检测到。所有其他 Cyanobium 和 Microcystis OTU 都在氧跃层以上被检测到。Cyanobium OTU 在湖泊和季节之间的分布可以用类似流行的反应来解释,即当条件合适时,个体 OTU 从多样化的湖下层种群中克隆式上升。讨论了使用 99%的同一性而不是更常用的 97%的同一性对蓝藻群落结构的重要性。这里描述的方法可以为评估蓝藻种群提供另一个有价值的工具,并为蓝藻水华的控制提供更深入的了解。