Stronger environmental adaptation of rare rather than abundant bacterioplankton in response to dredging in eutrophic Lake Nanhu (Wuhan, China)

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2021-02-15 DOI:10.1016/j.watres.2020.116751
Wenjie Wan , Hans-Peter Grossart , Donglan He , Wenke Yuan , Yuyi Yang
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引用次数: 54

Abstract

Deciphering responses of rare versus abundant bacterioplankton to environmental change, crucial for understanding and mitigating of cyanobacterial blooms, is an important but poorly investigated subject. Using MiSeq sequencing, we investigated the taxonomic and phylogenetic diversity of rare and abundant bacterioplankton in eutrophic Lake Nanhu before and after dredging. We estimated environmental breadths and phylogenetic signals of ecological preferences of rare and abundant bacterioplankton, and investigated community function and bacterioplankton assembly processes. Both taxonomic and phylogenic distances of rare and abundant bacterioplankton communities were significantly positively correlated with the dissimilarity of environmental factors. Threshold indicator taxa analysis and Blomberg's K statistic indicated that rare taxa held broader environmental thresholds and stronger phylogenetic signals for ecological traits than abundant taxa. Environmental adaptations of both rare and abundant taxa exhibited distinct changes after dredging. Higher functional redundancy occurred in the abundant compared to the rare bacterioplankton, with functions of rare bacterioplankton decreasing and for the abundant ones increasing after dredging. The null model revealed that dispersal limitation belonging to stochastic processes determined the abundant bacterioplankton community assembly, whereas variable selection belonging to deterministic processes drove the rare one. Rare bacterioplankton was more environmentally constrained than the abundant one. Dissolved oxygen was the decisive factor in determining the balance between stochasticity and determinism in both rare and abundant bacterioplankton. Our study extends our knowledge of environmental adaptation of rare versus abundant bacterioplankton to massive disturbing measures, i.e. dredging, and allows to estimate dredging performance for mitigating cyanobacterial blooms from a molecular ecology viewpoint.

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南湖富营养化疏浚对稀有浮游细菌的环境适应性强于丰富浮游细菌
破译稀有与丰富的浮游细菌对环境变化的反应,对于理解和减轻蓝藻华至关重要,是一个重要但研究较少的课题。利用MiSeq测序技术,对南湖富营养化湖泊疏浚前后浮游细菌的分类和系统发育多样性进行了研究。我们估计了稀有和丰富浮游细菌的生态偏好的环境宽度和系统发育信号,并研究了群落功能和浮游细菌的组装过程。稀有和丰富浮游细菌群落的分类距离和系统发育距离均与环境因子的差异性呈显著正相关。阈值指标分类群分析和Blomberg’s K统计表明,稀有分类群比丰富分类群具有更宽的环境阈值和更强的生态性状系统发育信号。疏浚后,稀有和丰富类群的环境适应性都发生了明显的变化。疏浚后,丰度较高的浮游细菌的功能冗余度高于稀有浮游细菌,稀有浮游细菌的功能减少,而丰度较高的浮游细菌的功能增加。零模型表明,属于随机过程的扩散限制决定了浮游细菌群落的数量,而属于确定性过程的变量选择决定了浮游细菌群落的数量。稀有的浮游细菌比丰富的浮游细菌更受环境限制。溶解氧是决定稀有和丰富浮游细菌随机性与确定性平衡的决定性因素。我们的研究扩展了我们对稀有与丰富的浮游细菌对大规模干扰措施(即疏浚)的环境适应的认识,并允许从分子生态学的角度估计疏浚性能以减轻蓝藻华。
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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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