| 引用本文: | 毛振镀,王洪伟,周天旭,夏炎雷,李化炳,邢鹏,吴庆龙.不同营养水平下浮游细菌群落对盐度干扰的响应与稳定性.湖泊科学,2024,36(2):548-561. DOI:10.18307/2024.0234 |
| Mao Zhendu,Wang Hongwei,Zhou Tianxu,Xia Yanlei,Li Huabing,Xing Peng,Wu Qinglong.Response and stability of bacterioplankton community under different nutrient levels with salinity disturbance. J. Lake Sci.2024,36(2):548-561. DOI:10.18307/2024.0234 |
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| 不同营养水平下浮游细菌群落对盐度干扰的响应与稳定性 |
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毛振镀1,2, 王洪伟1,2, 周天旭1,2,3, 夏炎雷1, 李化炳1, 邢鹏1, 吴庆龙1,4,5
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1.中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008;2.中国科学院大学, 北京 100049;3.南京信息工程大学, 南京 210044;4.中国科学院大学中丹学院, 北京 100049;5.中国科学院抚仙湖高原深水湖泊研究站, 玉溪 652500
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| 摘要: |
| 微生物群落是湖泊生态系统的重要组成部分,其结构和功能的稳定性对于生态系统正常执行功能和服务具有至关重要的作用。以营养富集和盐度增加为特征的全球变化深刻影响湖泊生态系统,揭示这些因素对微生物群落结构及其稳定性的影响机理具有重要意义。本研究以浮游细菌群落为研究对象,开展2个营养水平和3个盐度干扰强度水平(对照组、3‰和9‰)的室内模拟实验;基于同一时间点的实验组和对照组之间细胞密度的差异,计算反应力、抵抗力、恢复力和时间稳定性等多个稳定性指标,尝试揭示群落的稳定性机制;借助细菌16S rRNA基因高通量测序对群落结构进行分析,阐明不同营养水平下浮游细菌群落不同类群对盐度干扰的响应。研究发现,浮游细菌的细胞密度和物种丰富度在盐度干扰后降低,对盐度敏感类群相对丰度减少;盐度干扰后水体中溶解性有机碳增加,促进了适应干扰后环境的浮游细菌生长。更高的干扰强度显著降低了细胞密度,导致了更低的抵抗力;盐度干扰和营养水平在反应力、恢复力和时间稳定性方面存在显著交互作用,在9‰盐度干扰下,高营养水平群落表现出最低的稳定性。多数稳定性指标之间表现出了显著的正相关,可以协同指示浮游细菌群落的稳定性;抵抗力和恢复力之间并不显著相关,但是可以从不同角度反映群落稳定性。未来淡水生态系统的富营养和盐度增加将显著降低浮游细菌群落稳定性,多个稳定性指标的应用和高频次观测有助于了解浮游细菌群落对干扰的响应与稳定性机制。 |
| 关键词: 浮游细菌 群落稳定性 营养水平 盐度干扰 补偿过程 |
| DOI：10.18307/2024.0234 |
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| 基金项目:国家自然科学基金项目(U2040201, 42293264)资助。 |
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| Response and stability of bacterioplankton community under different nutrient levels with salinity disturbance |
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Mao Zhendu1,2, Wang Hongwei1,2, Zhou Tianxu1,2,3, Xia Yanlei1, Li Huabing1, Xing Peng1, Wu Qinglong1,4,5
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1.State Key Laboratory of Lakes Science and Environment, Nanjing Institute of Geography and Lakes, Chinese Academy of Sciences, Nanjing 210008, P.R. China;2.University of Chinese Academy of Sciences, Beijing 100049, P.R. China;3.Nanjing University of Information Science and Technology, Nanjing 210044, P.R. China;4.Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, P.R. China;5.The Fuxianhu Station of Plateau Deep Lake research, Chinese Academy of Sciences, Yuxi 652500, P.R. China
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| Abstract: |
| Microbial communities are the important components of lake ecosystems, and their structural and functional stability are crucial for the ecosystem functioning and service. Global changes characterized by nutrient enrichment and salinity increase have profound impacts on lake ecosystems, and it is important to reveal the mechanisms of how these factors affect the microbial community structure and stability. In this study, we conducted indoor simulation experiments with bacterioplankton communities under two nutrient levels and three salinity disturbance intensities (control, 3‰ and 9‰). We calculated four stability metrics such as reactivity, resistance, resilience and temporal stability, to explore the stability mechanisms of the communities. These metrics were based on the difference in cell density between the experimental groups and the control group at the same census. We also used high-throughput sequencing of bacterial 16S rRNA gene to analyze the community structure, and elucidated the responses of different bacterial groups to salinity disturbance under different nutrient levels. We found that the cell density and species richness of bacterioplankton decreased after salinity disturbance, and the relative abundance of salinity-sensitive groups decreased; the dissolved organic carbon in the water increased after salinity disturbance, which promoted the growth of other bacterioplankton adapted to the post-disturbance environment. Higher disturbance intensity significantly reduced the cell density, resulting in lower resistance; salinity disturbance and nutrient level had significant interactions on reactivity, resilience and temporal stability, and high nutrient level communities showed the lowest stability under 9‰ salinity disturbance. Most of the stability metrics showed significant positive correlations, which could jointly indicate the stability of planktonic bacterial communities. Resistance and resilience were not significantly correlated; thus, they could reflect the community stability from different perspectives. In summary, future nutrient enrichment and salinity increase of freshwater ecosystems will significantly reduce the stability of planktonic bacterial communities. The application of multiple stability indicators and high-frequency observation will help to understand the responses and stability mechanisms of bacterioplankton communities to disturbance. |
| Key words: Bacterioplankton community stability nutrient levels salinity disturbance compensation process |
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