Institute of International Rivers and Eco-Security, Yunnan University, Kunming, 650500, China; Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Kunming, 650500, China; Asian International Rivers Center, Kunming, Yunnan, 650500, China.
Institute of International Rivers and Eco-Security, Yunnan University, Kunming, 650500, China; Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Kunming, 650500, China; Asian International Rivers Center, Kunming, Yunnan, 650500, China.
Water Res. 2024 Dec 1;267:122470. doi: 10.1016/j.watres.2024.122470. Epub 2024 Sep 17.
Biofilms, known as "microbial skin" in rivers, respond to rapid and sensitive environmental changes. However, the ecological response mechanisms of bacterial and fungal communities in river biofilms toward heavy metal pollution (HMP) remains poorly understood. This study focused on the key driving factors of bacterial and fungal community diversity and composition and their ecological response mechanisms within periphytic biofilms of Asia's largest Pb-Zn mining area. The diversity, dominant bacterial taxa, and bacteria structure in biofilms were influenced by biologically available heavy metal (HM) fractions, with Ni-F3 (17.96 %) and Pb-F4 (16.27 %) as the main factors affecting the bacterial community structure. Fungal community structure and α-diversity were more susceptible to physicochemical parameters (pH and nutrient elements). Partial least squares path modeling revealed that environmental factors influencing bacterial and fungal communities in biofilms were ranked as water quality > metal fractions > total metals. Dispersal limitation was the most critical ecological process in bacterial (56.9 %) and fungal (73.4 %) assembly. The proportion of heterogeneous selection by bacteria (39.5 %) was higher than that of fungus (26.2 %), which increased with increasing HMP. Bacterial communities had a higher migration rate (0.48) and ecological drift proportion (3.6 %), making them more prone to escape environmental stress. Fungal communities exhibited more keystone species, larger niche width (23.24 ± 13.04 vs. 9.72 ± 5.48), higher organization level, and a more stable co-occurrence network than bacterial communities, which enabled them to better adapt to high environmental pollution levels. These findings expanded the understanding of the spatiotemporal dynamics of microbial communities within biofilms in HM-polluted watersheds and provided new insights into the ecological responses of microbial communities to HMP.
生物膜,又被称为河流中的“微生物皮肤”,对快速而敏感的环境变化作出响应。然而,人们对于河流生物膜中细菌和真菌群落对重金属污染(HMP)的生态响应机制仍知之甚少。本研究聚焦于亚洲最大的铅锌矿区周生生物膜中细菌和真菌群落多样性和组成的关键驱动因素及其生态响应机制。生物膜中细菌的多样性、优势细菌类群和结构受生物可利用重金属(HM)分数的影响,Ni-F3(17.96%)和 Pb-F4(16.27%)是影响细菌群落结构的主要因素。真菌群落结构和 α-多样性对理化参数(pH 值和营养元素)更为敏感。偏最小二乘路径模型显示,影响生物膜中细菌和真菌群落的环境因素按水质>金属分数>总金属的顺序排列。扩散限制是细菌(56.9%)和真菌(73.4%)组装中最关键的生态过程。细菌(39.5%)的异质选择比例高于真菌(26.2%),且随着 HMP 的增加而增加。细菌群落的迁移率(0.48)和生态漂移比例(3.6%)较高,使它们更容易逃避环境压力。与细菌群落相比,真菌群落具有更高比例的关键种(39.5%),更大的生态位宽度(23.24 ± 13.04 比 9.72 ± 5.48),更高的组织水平,以及更稳定的共存网络,使它们能够更好地适应高环境污染水平。这些发现扩展了对重金属污染流域生物膜中微生物群落时空动态的理解,并为微生物群落对 HMP 的生态响应提供了新的见解。