关键词: Assembly dynamics Bacterial communities Bacterial source-tracking Co-occurrence network Habitat

Mesh : Bacteria / genetics classification Ecosystem Seasons RNA, Ribosomal, 16S Geologic Sediments / microbiology Microbiota Seawater / microbiology

来  源:   DOI:10.1016/j.marpolbul.2024.116658

Abstract:
Offshore coastal marine ranching ecosystems provide habitat for diverse and active bacterial communities. In this study, 16S rRNA gene sequencing and multiple bioinformatics methods were applied to investigate assembly dynamics and relationships in different habitats. The higher number of edges in the water network, more balanced ratio of positive and negative links, and more keystone species included in the co-occurrence network of water. Stochastic processes dominated in shaping gut and sediment community assembly (R2 < 0.5), while water bacterial community assembly were dominated by deterministic processes (R2 > 0.5). Dissimilarity-overlap curve model indicated that the communities in different habitats have general dynamics and interspecific interaction (P < 0.001). Bacterial source-tracking analysis revealed that the gut was more similar to the sediment than the water bacterial communities. In summary, this study provides basic data for the ecological study of marine ranching through the study of bacterial community dynamics.
摘要:
近海沿海海洋牧场生态系统为多样化和活跃的细菌群落提供了栖息地。在这项研究中,应用16SrRNA基因测序和多种生物信息学方法研究了不同栖息地的组装动力学和关系。水网络中的边缘数量越多,正负联系的比例更加平衡,以及更多的重点物种包括在水的共现网络中。随机过程在塑造肠道和沉积物群落组装中占主导地位(R2<0.5),水细菌群落组装以确定性过程为主(R2>0.5)。差异-重叠曲线模型表明,不同生境的群落具有一般动态和种间相互作用(P<0.001)。细菌来源追踪分析显示,肠道与沉积物比水细菌群落更相似。总之,本研究通过对细菌群落动态的研究,为海洋牧场的生态学研究提供了基础数据。
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