天然生物膜中的细菌和真菌群落对受采矿影响河流中生物可利用重金属的反应

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Chunyan Li , Mei Zhong , Ende Guo , Hansen Xu , Chen Wen , Shiqi Zhu , Qi Li , Dan Zhu , Xia Luo
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引用次数: 0

摘要

生物膜被称为河流中的 "微生物皮肤",可对快速而敏感的环境变化做出反应。然而,人们对河流生物膜中细菌和真菌群落对重金属污染(HMP)的生态响应机制仍然知之甚少。本研究的重点是亚洲最大的铅锌矿区附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。生物膜中的多样性、优势细菌类群和细菌结构受到生物可用重金属(HM)组分的影响,其中镍-F3(17.96%)和铅-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-多样性更容易受到理化参数(pH 值和营养元素)的影响。偏最小二乘法路径模型显示,影响生物膜中细菌和真菌群落的环境因素依次为水质>;金属组分>;金属总量。传播限制是细菌(56.9%)和真菌(73.4%)集结的最关键生态过程。细菌的异质性选择比例(39.5%)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,因此更容易逃避环境压力。与细菌群落相比,真菌群落表现出更多的关键物种、更大的生态位宽度(23.24 ± 13.04 vs. 9.72 ± 5.48)、更高的组织水平和更稳定的共生网络,这使它们能够更好地适应高环境污染水平。这些发现拓展了对 HM 污染流域生物膜内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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Response of bacterial and fungal communities in natural biofilms to bioavailable heavy metals in a mining-affected river

Response of bacterial and fungal communities in natural biofilms to bioavailable heavy metals in a mining-affected river

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.

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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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