Kerrigan Zak, D'Hondt Steven
Graduate School of Oceanography, University of Rhode Island, Narragansett, RI, United States.
Front Microbiol. 2022 Feb 7;13:796758. doi: 10.3389/fmicb.2022.796758. eCollection 2022.
To understand the relative influences of operational taxonomic units (OTUs) and amplicon sequence variants (ASVs) on patterns of marine microbial diversity and community composition, we examined bacterial diversity and community composition of seawater from 12 sites in the North Atlantic Ocean and Canadian Arctic and sediment from two sites in the North Atlantic. For the seawater analyses, we included samples from three to six zones in the water column of each site. For the sediment analyses, we included over 20 sediment horizons at each of two sites. For all samples, we amplified the V4-V5 hypervariable region of the 16S ribosomal RNA (rRNA) gene. We analyzed each sample in two different ways: (i) by clustering its reads into 97%-similar OTUs and (ii) by assigning sequences to unique ASVs. OTU richness is much higher than ASV richness for every sample, but both OTUs and ASVs exhibit similar vertical patterns of relative diversity in both the water column and the sediment. Bacterial richness is highest just below the photic zone in the water column and at the seafloor in the sediment. For both OTUs and ASVs, richness estimates depend on the number of sequences analyzed. Both methods yield broadly similar community compositions for each sample at the taxonomic levels of phyla to families. While the two methods yield different richness values, broad-scale patterns of relative richness and community composition are similar with both methods.
为了解操作分类单元(OTU)和扩增子序列变体(ASV)对海洋微生物多样性模式和群落组成的相对影响,我们研究了北大西洋和加拿大北极地区12个地点的海水以及北大西洋两个地点的沉积物中的细菌多样性和群落组成。对于海水分析,我们纳入了每个地点水柱中三到六个区域的样本。对于沉积物分析,我们纳入了两个地点中每个地点超过20个沉积物层位的样本。对于所有样本,我们扩增了16S核糖体RNA(rRNA)基因的V4-V5高变区。我们用两种不同方式分析每个样本:(i)将其读数聚类为相似度为97%的OTU,以及(ii)将序列分配到独特的ASV。每个样本的OTU丰富度远高于ASV丰富度,但OTU和ASV在水柱和沉积物中均呈现出相似的相对多样性垂直模式。细菌丰富度在水柱中光合带下方以及沉积物中的海底处最高。对于OTU和ASV,丰富度估计值取决于所分析的序列数量。在门到科的分类水平上,两种方法对每个样本产生的群落组成大致相似。虽然两种方法得出的丰富度值不同,但两种方法的相对丰富度和群落组成的宏观模式相似。