Ecology Group, Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau, Kaiserslautern, Germany.
Marine Ecosystems Functioning, AZTI, Marine Research, Basque Research and Technology Alliance, Pasia, Gipuzkoa, Spain.
Environ Microbiol. 2023 Dec;25(12):3484-3501. doi: 10.1111/1462-2920.16530. Epub 2023 Nov 16.
Environmental DNA sequencing is the gold standard to reveal microbial community structures. In most applications, a one-fragment PCR approach is applied to amplify a taxonomic marker gene, usually a hypervariable region of the 16S rRNA gene. We used a new reverse complement (RC)-PCR-based assay that amplifies seven out of the nine hypervariable regions of the 16S rRNA gene, to interrogate bacterial communities in sediment samples collected from different coastal marine sites with an impact gradient. In parallel, we employed a traditional one-fragment analysis of the hypervariable V3-V4 region to investigate whether the RC-PCR reveals more of the 'unseen' diversity obtained by the one-fragment approach. As a benchmark for the full deck of diversity, we subjected the samples to PCR-free metagenomic sequencing. None of the two PCR-based approaches recorded the full taxonomic repertoire obtained from the metagenomics datasets. However, the RC-PCR approach detected 2.8 times more bacterial genera compared to the near-saturation sequenced V3-V4 samples. RC-PCR is an ideal compromise between the standard one-fragment approach and metagenomics sequencing and may guide future environmental sequencing studies, in which bacterial diversity is a central subject.
环境 DNA 测序是揭示微生物群落结构的金标准。在大多数应用中,采用单片段 PCR 方法扩增分类标记基因,通常是 16S rRNA 基因的高变区。我们使用了一种新的基于反向互补 (RC) - PCR 的检测方法,该方法扩增了 16S rRNA 基因的九个高变区中的七个,以检测来自不同沿海海洋地点的沉积物样本中的细菌群落,这些地点具有影响梯度。同时,我们采用传统的单片段分析高变区 V3-V4 来研究 RC-PCR 是否揭示了更多通过单片段方法获得的“未观察到的”多样性。作为对多样性的全面评估的基准,我们对样本进行了无 PCR 宏基因组测序。两种基于 PCR 的方法都没有记录从宏基因组数据集获得的完整分类目录。然而,与近乎饱和测序的 V3-V4 样本相比,RC-PCR 方法检测到的细菌属数量多了 2.8 倍。RC-PCR 是标准单片段方法和宏基因组测序之间的理想折衷方案,可能会指导未来的环境测序研究,其中细菌多样性是一个核心主题。