The complicated relationships among environmental microorganisms are regulated by quorum sensing (QS). Understanding QS-based signals could shed light on the interactions between microbial communities in certain environments. Although QS characteristics have been widely discussed, few studies have been conducted on the role of QS in phycospheric microorganisms. Here, we used metagenomics to examine the profile of AI-1 (AinS, HdtS, LuxI) and AI-2 (LuxS) autoinducers from a deeply sequenced microbial database, obtained from a complete dinoflagellate bloom. A total of 3001 putative AI-1 homologs and 130 AI-2 homologs were identified. The predominant member among the AI groups was HdtS. The abundance of HdtS, AinS, and LuxS increased as the bloom developed, whereas the abundance of LuxI showed the opposite trend. Phylogenetic analysis suggested that HdtS and LuxI synthase originated mainly from alpha-, beta-, and gamma-Proteobacteria, whereas AinS synthase originated solely from Vibrionales. In comparison to AI-1, the sequences related to AI-2 (LuxS) demonstrated a much wider taxonomic coverage. Some significant correlations were found between dominant species and QS signals. In addition to the QS, we also performed parallel analysis of the quorum quenching (QQ) sequences. In comparison to QS, the relative abundance of QQ signals was lower; however, an obvious frequency correlation was observed. These results suggested that QS and QQ signals co-participate in regulating microbial communities during an algal bloom. These data helped to reveal the characteristic behavior of algal symbiotic bacteria, and facilitated a better understanding of microbial dynamics during an algal bloom event from a chemical ecological perspective.

环境微生物之间的复杂关系由群体感应（QS）调控。了解基于QS的信号可以阐明某些环境中微生物群落之间的相互作用。尽管已经广泛讨论了QS特性，但是关于QS在藻圈微生物中的作用的研究很少。在这里，我们使用宏基因组学从来自完整鞭毛藻的深测序微生物数据库中检查了AI-1（AinS，HdtS，LuxI）和AI-2（LuxS）自动诱导剂的概况。总共鉴定出3001个AI-1同源物和130个AI-2同源物。AI组中的主要成员是HdtS。HdtS，AinS和LuxS的丰度随着花开的发展而增加，而LuxI的丰度却呈现相反的趋势。变形杆菌，而AinS合酶仅起源于弧菌。与AI-1相比，与AI-2（LuxS）相关的序列显示出更广泛的分类学覆盖范围。在优势种和QS信号之间发现了一些显着的相关性。除了QS，我们还对群体猝灭（QQ）序列进行了并行分析。与QS相比，QQ信号的相对丰度更低；然而，观察到明显的频率相关性。这些结果表明，在藻华期间，QS和QQ信号共同参与调节微生物群落。这些数据有助于揭示藻类共生细菌的特征行为，并有助于从化学生态学角度更好地了解藻类开花事件期间的微生物动力学。