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海洋藻类水华期间,附着微生物群体感应信号的动态模式。

Dynamic patterns of quorum sensing signals in phycospheric microbes during a marine algal bloom.

机构信息

School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai 264209, Shandong Province, PR China.

School of Marine Science and Technology, Harbin Institute of Technology (Weihai), Weihai 264209, Shandong Province, PR China.

出版信息

Environ Res. 2022 Sep;212(Pt C):113443. doi: 10.1016/j.envres.2022.113443. Epub 2022 May 10.

Abstract

In the marine environment, the interactions among various species based on chemical signals play critical roles in influencing microbial structure and function. Quorum sensing (QS), the well-known signal-dependent communication autoinducer, is an important regulator in complex microbial communities. Here, we explored the QS gene profiles of phycosphere bacteria during a microcosmic phytoplankton bloom using metagenomic sequence data. More than fifteen subtypes of QS systems and 211,980 non-redundant amino acid sequences were collected and classified for constructing a hierarchical quorum-sensing database. The abundance of the various QS subtypes varied at different bloom stages and showed a strong correlation with phycosphere microorganisms. This suggested that QS is involved in regulating the phycosphere microbial succession during an algal bloom. A neutral community model revealed that the QS functional gene community assemblies were driven by stochastic processes. Co-occurrence model analysis showed that the QS gene networks of phycospheric microbes had similar topological structure and functional composition, which is a potential cornerstone for maintaining signal communication and population stabilization among microorganisms. Overall, QS systems have a strong relationship with the development of algal blooms and participate in regulating algal-associated microbial communities as chemical signals. This research reveals the chemical and ecological behavior of algal symbiotic bacteria and expands the current understanding of microbial dynamics in marine algal blooms.

摘要

在海洋环境中,基于化学信号的各种物种之间的相互作用在影响微生物结构和功能方面起着至关重要的作用。群体感应 (QS),即众所周知的信号依赖性通信自动诱导物,是复杂微生物群落中的重要调节剂。在这里,我们使用宏基因组序列数据探索了微藻爆发期间附着细菌的 QS 基因谱。我们收集并分类了超过 15 种 QS 系统亚型和 211,980 个非冗余氨基酸序列,以构建分层的 QS 感应数据库。各种 QS 亚型的丰度在不同的爆发阶段有所不同,并与附着细菌强烈相关。这表明 QS 参与调节藻类爆发期间附着细菌的演替。中性群落模型揭示了 QS 功能基因群落组装是由随机过程驱动的。共现模型分析表明,附着细菌的 QS 基因网络具有相似的拓扑结构和功能组成,这是维持微生物之间信号通信和种群稳定的潜在基石。总的来说,QS 系统与藻类的生长发育密切相关,并作为化学信号参与调节藻类相关微生物群落。本研究揭示了藻类共生细菌的化学和生态行为,并扩展了我们对海洋藻类爆发中微生物动态的现有认识。

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