School of Marine Sciences, Ningbo University, Ningbo, China.
Collaborative Innovation Center for Zhejiang Marine High-Efficiency and Healthy Aquaculture, Ningbo, China.
Appl Environ Microbiol. 2018 Aug 31;84(18). doi: 10.1128/AEM.01000-18. Print 2018 Sep 15.
Harmful algal blooms (HABs) are serious ecological disasters in coastal areas, significantly influencing biogeochemical cycles driven by bacteria. The shifts in microbial communities during HABs have been widely investigated, but the assembly mechanisms of microbial communities during HABs are poorly understood. Here, using 16S rRNA gene amplicon sequencing, we analyzed the microbial communities during an early-spring diatom bloom, in order to investigate the dynamics of microbial assembly processes. , , and were the main bacterial families during the bloom. The 30 most abundant operational taxonomic units (OTUs) segregated into 4 clusters according to specific bloom stages, exhibiting clear successional patterns during the bloom process. The succession of microbial communities correlated with changes in the dynamics of algal species. Based on the β-nearest taxon distance, we constructed a simulation model, which demonstrated that the assembly of microbial communities shifted from strong heterogenous selection in the early stage of the bloom to stochasticity in the middle stage and then to strong homogeneous selection in the late and after-bloom stages. These successions were driven mainly by chlorophyll contents, which were affected mainly by Moreover, functional prediction of microbial communities showed that microbial metabolic functions were significantly related to nitrogen metabolism. In summary, our results clearly suggested a dominant role of determinacy in microbial community assembly in HABs and will facilitate deeper understanding of the ecological processes shaping microbial communities during the algal bloom process. Harmful algal blooms (HABs) significantly influence biogeochemical cycles driven by bacteria. The shifts in microbial communities during HABs have been studied intensively, but the assembly mechanisms of microbial communities during HABs are poorly understood, with limited investigation of the balance of deterministic and stochastic processes in shaping microbial communities in HABs. In this study, the dynamics and assembly of microbial communities in an early-spring diatom bloom process were investigated. Our data both confirm previously observed general microbial successional patterns and show new detailed mechanisms for microbial assembly in HABs. These results will facilitate deeper understanding of the ecological processes shaping microbial communities in HABs. In addition, predictions of metabolic potential in this study will facilitate understanding of the influence of HABs on nitrogen metabolism in marine environments.
有害藻华(HAB)是沿海地区严重的生态灾害,对细菌驱动的生物地球化学循环有重大影响。人们广泛研究了 HAB 期间微生物群落的变化,但对 HAB 期间微生物群落的组装机制了解甚少。在这里,我们使用 16S rRNA 基因扩增子测序,分析了早春硅藻爆发期间的微生物群落,以研究微生物组装过程的动态。在爆发期间,和是主要的细菌科。根据特定的爆发阶段,30 个最丰富的操作分类单位(OTU)分成 4 个簇,在爆发过程中表现出明显的演替模式。微生物群落的演替与藻类物种动态的变化相关。基于β-最近分类单元距离,我们构建了一个模拟模型,该模型表明微生物群落的组装从爆发早期的强烈异质选择转变为中期的随机性,然后在后期和爆发后转变为强烈的同质选择。这些演替主要由叶绿素含量驱动,而叶绿素含量主要受和的影响。此外,微生物群落的功能预测表明,微生物代谢功能与氮代谢显著相关。总之,我们的结果清楚地表明,确定性在 HAB 中微生物群落组装中起主导作用,并将促进对藻类爆发过程中塑造微生物群落的生态过程的更深入理解。