School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Xiong'an Institute of Innovation, Chinese Academy of Sciences, Baoding, 071000, China.
Henan Institute of Engineering, Zhengzhou, 450000, China.
Environ Pollut. 2024 Dec 15;363(Pt 2):125299. doi: 10.1016/j.envpol.2024.125299. Epub 2024 Nov 12.
Reclaimed water recharge into rivers is an important supplementary approach to address water resource shortage in arid and semi-arid areas worldwide. However, the ecology impacts of reclaimed water recharge on the rivers are still unknown, especially for the microbial assemble and species coexistence in different seasons. Here, the evolution of microbiome and its response to different reasons in the Jialu River, which was subjected to long-term reclaimed water recharge, is investigated by using 16S rRNA gene sequencing and multivariate statistical methods. The results indicated that microbial communities exhibited significant temporal heterogeneity across different periods and were negatively correlated with river discharge. Their assembly was primarily influenced by stochastic processes such as dispersal limitation and drift. As the transition occurred from the dry season to the normal season, the role of drift diminished, while the deterministic effects of dispersal limitation and niche selection intensified. The relationships among planktonic bacterial species were primarily positive (cooperative), and the complexity and positive correlations within the ecological network showed a trend of first decreasing and then increasing with the change of seasons. Temperature, dissolved oxygen, and ammonia nitrogen were the main driving forces influencing the structure of microbial communities. In summary, these findings provided insights into the impact of seasonal variations on the microbial community patterns in reclaimed water-supplemented river ecosystems.
再生水回灌河流是解决世界干旱和半干旱地区水资源短缺的重要补充途径。然而,再生水回灌对河流的生态影响仍不清楚,特别是在不同季节的微生物组合和物种共存方面。在这里,通过 16S rRNA 基因测序和多变量统计方法,研究了长期受再生水回灌影响的贾鲁河微生物组的演变及其对不同原因的响应。结果表明,微生物群落在不同时期表现出显著的时间异质性,与河流流量呈负相关。它们的组装主要受扩散限制和漂移等随机过程的影响。随着从旱季到正常季节的转变,漂移的作用减弱,而扩散限制和生态位选择的确定性效应增强。浮游细菌物种之间的关系主要是正相关(合作),生态网络内的复杂性和正相关关系随着季节的变化呈先减少后增加的趋势。温度、溶解氧和氨氮是影响微生物群落结构的主要驱动力。总之,这些发现为了解季节性变化对再生水补充河流生态系统中微生物群落模式的影响提供了新的视角。