Chen Ming, Bao Wenxiu, Zhang Wen, Wang Minshi, Zhao Qingqing, Huang Yujie, Lu Yuan
Shandong Provincial Key Laboratory of Applied Microbiology, Ecology Institute of Shandong Academy of Sciences, Qilu University of Technology (Shandong Academy of Sciences), No. 28789 Jingshi East Road, Licheng District, Jinan, Shandong, 250103, China.
College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.
World J Microbiol Biotechnol. 2025 Jul 28;41(8):268. doi: 10.1007/s11274-025-04503-7.
Bacterial communities are crucial for connecting aquatic and sediment ecosystems. Water and sediment samples were collected from the Jinan section of the lower Yellow River, and absolute abundances of bacterial taxa were obtained via high-throughput absolute quantification. Integrating physicochemical properties, the water-sediment bacterial communities exhibited interactive characteristics of "high connectivity and strong heterogeneity". High connectivity was manifested in similar community and functional compositions and assembly mechanisms, along with shared core genera, in which high-concentration suspended particulates played a key role. Strong heterogeneity was reflected in distinct taxa abundances, diversity, co-occurrence network topologies, and functional specializations, all regulated by environmental factors. Sediments harbored total bacterial abundances and abundances of dominant phyla 1-2 orders of magnitude higher than those in water. Water community showed higher α-diversity and co-occurrence network complexity (edges, average degree, graph density). Eighteen shared genera (belonging to Pseudomonadota and Bacteroidota etc.) with cross-medium survival adaptability were identified. Functional connectivity was supported by 99.1% shared KOs, despite sediments had greater carbon/nitrogen cycling potential than that in water. Stochastic processes, mainly drift, dominated community assembly, contributing more in water (93.6%) than in sediment (75.5%). This study provides microbiological quantitative indicators for Yellow River ecological assessment, identifies cross-medium adaptive genera as potential bioremediation resources, and offers a microbiological perspective on ecosystem maintenance in adjacent river habitats.
细菌群落对于连接水生生态系统和沉积物生态系统至关重要。从黄河下游济南段采集了水和沉积物样本，并通过高通量绝对定量获得了细菌分类群的绝对丰度。综合理化性质，水-沉积物细菌群落呈现出“高连通性和强异质性”的交互特征。高连通性表现为群落和功能组成以及组装机制相似，同时存在共享的核心属，其中高浓度悬浮颗粒物发挥了关键作用。强异质性体现在不同的分类群丰度、多样性、共现网络拓扑结构和功能专业化上，所有这些都受环境因素调控。沉积物中细菌的总丰度和优势门的丰度比水中高1-2个数量级。水群落显示出更高的α多样性和共现网络复杂性（边数、平均度、图密度）。鉴定出18个具有跨介质生存适应性的共享属（属于假单胞菌门和拟杆菌门等）。尽管沉积物的碳/氮循环潜力比水大，但功能连通性由99.1%的共享KO支持。随机过程，主要是漂移，主导群落组装，在水中的贡献（93.6%）比在沉积物中（75.5%）更大。本研究为黄河生态评估提供了微生物定量指标，确定了跨介质适应性属作为潜在的生物修复资源，并从微生物学角度为相邻河流栖息地的生态系统维持提供了见解。
