Life and Environmental Sciences, University of California, Merced, CA, USA.
Scripps Institution of Oceanography, University of California, San Diego, CA, USA.
Environ Microbiol. 2021 Jun;23(6):2765-2781. doi: 10.1111/1462-2920.15215. Epub 2020 Sep 13.
Oceanic oxygen minimum zones (OMZs) play a pivotal role in biogeochemical cycles due to extensive microbial activity. How OMZ microbial communities assemble and respond to environmental variation is therefore essential to understanding OMZ functioning and ocean biogeochemistry. Sampling along depth profiles at five stations in the eastern tropical North Pacific Ocean (ETNP), we captured systematic variations in dissolved oxygen (DO) and associated variables (nitrite, chlorophyll, and ammonium) with depth and between stations. We quantitatively analysed relationships between oceanographic gradients and microbial community assembly and activity based on paired 16S rDNA and 16S rRNA sequencing. Overall microbial community composition and diversity were strongly related to regional variations in density, DO, and other variables (regression and redundancy analysis r = 0.68-0.82), displaying predictable patterns with depth and between stations. Although similar factors influenced the active community, diversity was substantially lower within the OMZ. We also identified multiple active microbiological networks that tracked specific gradients or features - particularly subsurface ammonium and nitrite maxima. Our findings indicate that overall microbial community assembly is consistently shaped by hydrography and biogeochemistry, while active segments of the community form discrete networks inhabiting distinct portions of the water column, and that both are tightly tuned to environmental conditions in the ETNP.
海洋缺氧区(OMZs)由于广泛的微生物活动,在生物地球化学循环中起着关键作用。因此,了解 OMZ 微生物群落的组装和对环境变化的响应对于理解 OMZ 的功能和海洋生物地球化学至关重要。本研究沿东热带北太平洋(ETNP)的五个站位的深度剖面进行采样,捕获了溶解氧(DO)和相关变量(亚硝酸盐、叶绿素和铵)随深度和站位的系统变化。我们根据 16S rDNA 和 16S rRNA 测序的配对定量分析了海洋梯度与微生物群落组装和活性之间的关系。总的来说,微生物群落组成和多样性与密度、DO 和其他变量的区域变化密切相关(回归和冗余分析 r = 0.68-0.82),表现出随深度和站位的可预测模式。尽管相似的因素影响了活性群落,但 OMZ 内的多样性要低得多。我们还确定了多个跟踪特定梯度或特征的活跃微生物网络,特别是次表层铵和亚硝酸盐最大值。我们的研究结果表明,整体微生物群落的组装始终受到水文学和生物地球化学的影响,而群落的活跃部分形成离散的网络,栖息在水柱的不同部分,两者都与 ETNP 的环境条件紧密结合。