Bi Sheng, Lai Han, Guo Dingli, Liu Xuange, Wang Gongpei, Chen Xiaoli, Liu Shuang, Yi Huadong, Su Yuqin, Li Guifeng
Guangdong Province Key Laboratory for Aquatic Economic Animals, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510006, China.
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519000, China.
Microorganisms. 2021 Oct 9;9(10):2125. doi: 10.3390/microorganisms9102125.
Artificial fishery habitats have been extensively used for fishery resource protection and water habitat restoration, and they could attract a large number of omnivorous fishes to gather together. This study intended to reveal the relationship between bacterial communities in the habitats (water and sediment) and intestines of omnivorous fishes (, and ). Therefore, we investigated the bacterial communities of samples collected from intestines, water, and sediments in artificial fishery habitats via 16S rRNA metabarcoding high-throughput sequencing technology. The results showed that there were significant differences in the composition, core indicators, diversity and prediction functions in water, sediments, and intestinal microbial communities of the three omnivorous fish. The microbial diversities were significantly higher in habitats than in intestines. The analysis of similarity (ANOSIM) and nonmetric multidimensional scaling (NMDS) results indicated that the intestine microbial communities ( and ) were more similar to the water microbiota, but the intestine microbial communities () were more similar to the sediments. Source tracking analysis also confirmed that the contribution of habitat characteristics to omnivorous fish intestinal microorganisms was different; the sediment had a greater contribution than water to the intestinal microbiota of , which was consistent with their benthic habit. Moreover, the functional prediction results showed that there were unique core indicators and functions between the bacterial community of habitats and intestines. Altogether, these results can enhance our understanding of the bacterial composition and functions about omnivorous fish intestines and their living with habitats, which have provided new information for the ecological benefits of artificial fishery habitats from the perspective of bacterial ecology and contributed to apply artificial fishery habitats in more rivers.
人工渔业栖息地已被广泛用于渔业资源保护和水域栖息地恢复，并且它们能够吸引大量杂食性鱼类聚集。本研究旨在揭示栖息地（水和沉积物）与杂食性鱼类（ 、 和 ）肠道中的细菌群落之间的关系。因此，我们通过16S rRNA基因条形码高通量测序技术，对从人工渔业栖息地采集的肠道、水和沉积物样本中的细菌群落进行了调查。结果表明，三种杂食性鱼类的水、沉积物和肠道微生物群落在组成、核心指标、多样性和预测功能方面存在显著差异。栖息地中的微生物多样性显著高于肠道。相似性分析（ANOSIM）和非度量多维尺度分析（NMDS）结果表明，肠道微生物群落（ 和 ）与水微生物群更相似，但肠道微生物群落（ ）与沉积物更相似。源追踪分析也证实，栖息地特征对杂食性鱼类肠道微生物的贡献不同；沉积物对 的肠道微生物群的贡献大于水，这与其底栖习性一致。此外，功能预测结果表明，栖息地细菌群落和肠道细菌群落之间存在独特的核心指标和功能。总之，这些结果可以增强我们对杂食性鱼类肠道细菌组成和功能以及它们与栖息地共生关系的理解，从细菌生态学角度为人工渔业栖息地的生态效益提供了新信息，并有助于在更多河流中应用人工渔业栖息地。
