PDF(Pubmed)
Abstract：
Despite increased attention to the aquaculture environment, there is still a lack of understanding regarding the significance of water quality. To address this knowledge gap, this study utilized high-throughput sequencing of 16S rRNA and 18S rRNA to examine microbial communities (bacteria and eukaryotes) in coastal water over different months through long-term observations. The goal was to explore interaction patterns in the microbial community and identify potential pathogenic bacteria and red tide organisms. The results revealed significant differences in composition, diversity, and richness of bacterial and eukaryotic operational taxonomic units (OTUs) across various months. Principal coordinate analysis (PCoA) demonstrated distinct temporal variations in bacterial and eukaryotic communities, with significant differences (P = 0.001) among four groups: F (January-April), M (May), S (June-September), and T (October-December). Moreover, a strong association was observed between microbial communities and months, with most OTUs showing a distinct temporal preference. The Kruskal-Wallis test (P < 0.05) indicated significant differences in dominant bacterial and eukaryotic taxa among months, with each group exhibiting unique dominant taxa, including potential pathogenic bacteria and red tide organisms. These findings emphasize the importance of monitoring changes in potentially harmful microorganisms in aquaculture. Network analysis highlighted positive correlations between bacteria and eukaryotes, with bacteria playing a key role in network interactions. The key bacterial genera associated with other microorganisms varied significantly (P < 0.05) across different groups. In summary, this study deepens the understanding of aquaculture water quality and offers valuable insights for maintaining healthy aquaculture practices. KEY POINTS: • Bacterial and eukaryotic communities displayed distinct temporal variations. • Different months exhibited unique potential pathogenic bacteria and red tide organisms. • Bacteria are key taxonomic taxa involved in microbial network interactions.
摘要：
尽管人们越来越关注水产养殖环境，对水质的重要性仍然缺乏了解。为了解决这个知识差距，这项研究利用16SrRNA和18SrRNA的高通量测序，通过长期观察，检查了沿海水域不同月份的微生物群落（细菌和真核生物）。目的是探索微生物群落中的相互作用模式，并鉴定潜在的病原菌和赤潮生物。结果表明，在组成上存在显著差异，多样性,以及不同月份细菌和真核生物操作分类单位(OTU)的丰富度。主坐标分析（PCoA）显示了细菌和真核生物群落的不同时间变化，四组之间存在显着差异（P=0.001）：F（1月至4月），M(五月),S（6月至9月），和T（10月至12月）。此外，微生物群落和月份之间有很强的关联，大多数OTU显示出明显的时间偏好。Kruskal-Wallis检验（P<0.05）表明，优势细菌和真核生物类群在月份之间存在显着差异。每个群体都表现出独特的显性分类群，包括潜在的致病菌和赤潮生物。这些发现强调了监测水产养殖中潜在有害微生物变化的重要性。网络分析强调了细菌和真核生物之间的正相关，细菌在网络相互作用中起着关键作用。与其他微生物相关的关键细菌属在不同组之间存在显着差异（P<0.05）。总之,这项研究加深了对水产养殖水质的理解，并为保持健康的水产养殖实践提供了有价值的见解。关键点：•细菌和真核生物群落显示出不同的时间变化。•不同月份表现出独特的潜在致病菌和赤潮生物。•细菌是涉及微生物网络相互作用的关键分类群。
