Liu Yang, Guo Weinan, Wei Caihua, Huang Hanjie, Nan Fangru, Liu Xudong, Liu Qi, Lv Junping, Feng Jia, Xie Shulian
Shanxi Key Laboratory for Research and Development of Regional Plants, School of Life Science, Shanxi University, Taiyuan 030006, China.
Shanxi Key Laboratory for Research and Development of Regional Plants, School of Life Science, Shanxi University, Taiyuan 030006, China.
Environ Res. 2024 Apr 1;246:118107. doi: 10.1016/j.envres.2024.118107. Epub 2024 Jan 4.
Microbial communities are pivotal in aquatic ecosystems, as they affect water quality, energy dynamics, nutrient cycling, and hydrological stability. This study explored the effects of rainfall on hydrological and photosynthetic parameters, microbial composition, and functional gene profiles in the Fen River. Our results demonstrated that rainfall-induced decreases in stream temperature, dissolved oxygen, pH, total phosphorus, chemical oxygen demand, and dissolved organic carbon concentrations. In contrast, rainfall increased total dissolved solids, salinity, and ammonia-nitrogen concentrations. A detailed microbial community structure analysis revealed that Cyanobacteria was the dominant microbial taxon in the Fen River, accounting for approximately 75% and 25% of the microalgal and bacterial communities, respectively. The abundance of Chlorophyta and Bacillariophyta increased by 47.66% and 29.92%, respectively, whereas the relative abundance of Bacteroidetes decreased by 37.55% under rainfall conditions. Stochastic processes predominantly affected the assembly of the bacterial community on rainy days. Functional gene analysis revealed variations in bacterial functions between sunny (Sun) and rainy (Rain) conditions, particularly in genes associated with the carbon cycle. The 3-oxoacyl-[acyl-carrier-protein] reductase gene was more abundant in the Fen River bacterial community. Particular genes involved in metabolism and environmental information processing, including the acetyl-CoA C-acetyltransferase (atoB), enoyl-CoA hydratase (paaF), and branched-chain amino acid transport system gene (livK), which are integral to environmental information processing, were more abundant in Sun than the Rain conditions. In contrast, the phosphate transport system gene, the galactose metabolic gene, and the pyruvate metabolic gene were more abundant in Rain. The excitation-emission matrix analysis with parallel factor analysis identified four fluorescence components (C1-C4) in the river, which were predominantly protein- (C1) and humic-like (C2-C4) substances. Rainfall affected organic matter production and transport, leading to changes in the degradation and stability of dissolved organic matter. Overall, this study offers insight into how rainfall affects aquatic ecosystems.
微生物群落对水生生态系统至关重要,因为它们会影响水质、能量动态、养分循环和水文稳定性。本研究探讨了降雨对汾河水文和光合参数、微生物组成及功能基因谱的影响。我们的结果表明,降雨导致溪流温度、溶解氧、pH值、总磷、化学需氧量和溶解有机碳浓度降低。相反,降雨增加了总溶解固体、盐度和氨氮浓度。详细的微生物群落结构分析表明,蓝藻是汾河中的主要微生物分类群,分别占微藻和细菌群落的约75%和25%。在降雨条件下,绿藻门和硅藻门的丰度分别增加了47.66%和29.92%,而拟杆菌门的相对丰度下降了37.55%。随机过程在雨天对细菌群落的组装起主要作用。功能基因分析揭示了晴天(Sun)和雨天(Rain)条件下细菌功能的差异,特别是与碳循环相关的基因。3-氧代酰基-[酰基载体蛋白]还原酶基因在汾河细菌群落中更为丰富。参与代谢和环境信息处理的特定基因,包括对环境信息处理不可或缺的乙酰辅酶A C-乙酰转移酶(atoB)、烯酰辅酶A水合酶(paaF)和支链氨基酸转运系统基因(livK),在晴天比雨天更为丰富。相反,磷酸盐转运系统基因、半乳糖代谢基因和丙酮酸代谢基因在雨天更为丰富。采用平行因子分析的激发-发射矩阵分析在河流中识别出四种荧光成分(C1-C4),主要为蛋白质类(C1)和类腐殖质(C2-C4)物质。降雨影响了有机物的产生和运输,导致溶解有机物的降解和稳定性发生变化。总体而言,本研究为降雨如何影响水生生态系统提供了见解。