Temporal Succession of Bacterial Community Structure, Co‑occurrence Patterns, and Community Assembly Process in Epiphytic Bioflms of Submerged Plants in a Plateau Lake
Temporal Succession of Bacterial Community Structure, Co‑occurrence Patterns, and Community Assembly Process in Epiphytic Bioflms of Submerged Plants in a Plateau Lake
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高原湖泊沉水植物附生生物膜细菌群落结构、共生模式和群落组装过程的时间演替
DOI：
10.1007/s00248-021-01956-9
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发表时间：
2022
影响因子：
3.6
通讯作者：
Du Xin
中科院分区：
文献类型：
--
作者：
Shi Lei;Xia Pinhua;Lin Tao;Li Guoqin;Wang Tianyou;Du Xin
在浅水植物湖泊中，由于藻类和细菌的积累，沉水植物茎叶表面会形成附生生物膜。附生生物膜对宿主植被的健康和湖泊要素的生态地球化学循环具有重要影响。然而，在不同生长时期的植物附生细菌群落（EBC）的群落多样性，种间相互作用和社区组装机制还没有得到很好的理解。我们调查了2020年7月至11月沉水植物Najas marina和Potamogeton lucens的附生生物膜细菌群落的演替动态、共现模式和群落组装过程。结果表明，EBC多样性和丰富度的季节变化显着。群落多样性和丰富度从7月到11月呈上升趋势，温度是预测EBC群落结构季节变化的最重要驱动因子。共现网络分析表明，从7月到11月，网络的平均度和图密度增加，表明EBC网络的复杂性增加。细菌群落共生网络受到温度、pH和透明度的限制。零模型分析表明，确定性过程在不同时期的微生物群落组合中占主导地位，增加了它们的贡献。此外，我们发现，随着确定性过程的优势增加，微生物共现联系增加，物种之间的潜在相互关系变得更强。因此，研究结果提供了深入了解湖泊生态系统中的EBC组合和共生模式的季节变化。
In shallow macrophytic lakes, epiphytic biofilms are formed on the surface of submerged plant stems and leaves because of algae and bacterial accumulation. Epiphytic biofilms significantly impact the health of the host vegetation and the biogeochemical cycling of lake elements. However, community diversity, species interactions, and community assembly mechanisms in epiphytic bacterial communities (EBCs) of plants during different growth periods are not well understood. We investigated the successional dynamics, co-occurrence patterns, and community assembly processes of epiphytic biofilm bacterial communities of submerged plants,Najas marinaandPotamogeton lucens, from July to November 2020. The results showed a significant seasonal variation in EBC diversity and richness. Community diversity and richness increased from July to November, and the temperature was the most important driving factor for predicting seasonal changes in EBC community structure. Co-occurrence network analysis revealed that the average degree and graph density of the network increased from July to November, indicating that the complexity of the EBC network increased. The bacterial community co-occurrence network was limited by temperature, pH, and transparency. The phylogeny-based null model analysis showed that deterministic processes dominated the microbial community assembly in different periods, increasing their contribution. In addition, we found that as the dominance of deterministic processes increased, the microbial co-occurrence links increased, and the potential interrelationships between species became stronger. Thus, the findings provide insights into the seasonal variability of EBC assemblage and co-occurrence patterns in lacustrine ecosystems.