Long-term phosphorus deficiency decreased bacterial-fungal network complexity and efficiency across three soil types in China as revealed by network analysis

Ma, Lei; Zhang, Jiabao; Li, Zengqiang; Xin, Xiaozhou; Guo, Zhaoxin; Wang, Daozhong; Li, DongChu; Zhao, Bingzi

doi:10.1016/j.apsoil.2020.103506

Cited by 51 publications

(26 citation statements)

References 65 publications

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“…Human activity altered the composition of modules, but preserved their ecological roles in the network, and the critical importance of Proteobacteria, Actinobacteria and Bacteroidetes in shaping the structure and niche differentiations in the bacterioplankton molecular ecological networks was revealed. This may also have been explained by the insurance hypothesis and functional redundancy theory [43]. Considering that highly connected species from the same module might share similar ecological characteristics or play similar functional roles in ecosystem stability, it is possible that they are ecologically redundant.…”

Section: Human Activity Reduces Ecological Niche Differentiation and These Interacts Less With Each Other In The Yuan Rivermentioning

confidence: 99%

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Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity

Wang

Devlin

et al. 2021

Microorganisms

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Bacterioplankton communities play a crucial role in freshwater ecosystem functioning, but it is unknown how co-occurrence networks within these communities respond to human activity disturbances. This represents an important knowledge gap because changes in microbial networks could have implications for their functionality and vulnerability to future disturbances. Here, we compare the spatiotemporal and biogeographical patterns of bacterioplankton molecular ecological networks using high-throughput sequencing of Illumina HiSeq and multivariate statistical analyses from a subtropical river during wet and dry seasons. Results demonstrated that the lower reaches (high human activity intensity) network had less of an average degree (10.568/18.363), especially during the dry season, when compared with the upper reaches (low human activity intensity) network (10.685/37.552) during the wet and dry seasons, respectively. The latter formed more complexity networks with more modularity (0.622/0.556) than the lower reaches (high human activity intensity) network (0.505/0.41) during the wet and dry seasons, respectively. Bacterioplankton molecular ecological network under high human activity intensity became significantly less robust, which is mainly caused by altering of the environmental conditions and keystone species. Human activity altered the composition of modules but preserved their ecological roles in the network and environmental factors (dissolved organic carbon, temperature, arsenic, oxidation–reduction potential and Chao1 index) were the best parameters for explaining the variations in bacterioplankton molecular ecological network structure and modules. Proteobacteria, Actinobacteria and Bacteroidetes were the keystone phylum in shaping the structure and niche differentiations in the network. In addition, the lower reaches (high human activity intensity) reduce the bacterioplankton diversity and ecological niche differentiation, which deterministic processes become more important with increased farmland and constructed land area (especially farmland) with only 35% and 40% of the community variation explained by the neutral community model during the wet season and dry season, respectively. Keystone species in high human activity intensity stress habitats yield intense functional potentials and Bacterioplankton communities harbor keystone taxa in different human activity intensity stress habitats, which may exert their influence on microbiome network composition regardless of abundance. Therefore, human activity plays a crucial role in shaping the structure and function of bacterioplankton molecular ecological networks in subtropical rivers and understanding the mechanisms of this process can provide important information about human–water interaction processes, sustainable uses of freshwater as well as watershed management and conservation.

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Section: Human Activity Reduces Ecological Niche Differentiation and These Interacts Less With Each Other In The Yuan Rivermentioning

confidence: 99%

“…Modules are groups of nodes that are well connected with one another but less connected with nodes belonging to other modules [43]. To identify assemblages that potentially interact or share niches within bacterioplankton, we focused on major modules (node number > 5% of the total nodes) (Figure 7).…”

Section: Major Modules In Bacterial Networkmentioning

confidence: 99%

Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity

Wang

Devlin

et al. 2021

Microorganisms

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“…Recent advances in high-throughput sequencing approaches now enable us to apply network analyses to explore more information in the complex uncultivated soil microbial communities of agricultural land. For example to define network complexity or stability between microbial communities and environmental factors (Ma et al, 2020) or identifying potential keystone species (Fan et al, 2018) or geographical patterns at a continental scale (Zhang et al, 2018). However, there is little information about topological variation found in soil microbial co-occurrence interactions in long-term monoculture agricultural systems.…”

Section: Introductionmentioning

confidence: 99%

Variations in soil nutrient dynamics and bacterial communities in long-term tea monoculture production systems

Gui

Lichao

Wang

et al. 2021

Preprint

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Long-term monoculture agriculture systems could lead to soil degradation and yield decline. The ways in which soil microbiotas interact with one another, particularly in response to long-term tea monoculture systems are currently unclear. In this study, through the comparison of three independent tea plantations across eastern China composed of varying stand ages (from 3 years to 90 years after conversion from forest), we found that long-term tea monoculture led to significant increases in soil total organic carbon (TOC) and microbial nitrogen (MBN). Additionally, the structure, function and co-occurrence network of soil microbial communities were investigated by pyrosequencing 16S rRNA genes. The pyrosequencing analysis revealed that structures and functions of soil bacterial communities were significantly affected by different stand ages of tea plantations, but sampling sites and land-use conversion (from forest to tea plantation) still outcompeted stand age to control the diversity and structure of soil bacterial communities. Further RDA analysis revealed that the C and N availability improvement in tea plantation soils led to variation of structure and function in soil microbial communities. Moreover, co-occurrence network analysis of soil bacterial communities also demonstrated that interactions among soil bacteria taxa were strengthened with the increasing stand age of respective tea stands. Overall, this study provides a comprehensive understanding of the impact of long-term monoculture stand age on soil nutrient dynamics and bacterial communities in tea production.

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“…A few studies also compared the differences in OMD caused by bacterial and aquatic hyphomycete community pro les [20,21]. As well known, the realization of ecological functions in ecosystems usually depends on various combinations of microbial groups [22]. The OMD in river ecosystems may be controlled by a variety of microbial groups [21].…”

Section: Introductionmentioning

confidence: 99%

“…Undoubtedly, microbial groups usually interact with one another to form a microbial co-occurrence network for achieving ecological functions [23,24]. Topological properties, interaction patterns, keystone taxa, and modules in microbial networks indicating microbial interactions can offer insight for understanding the microbial mechanism underlying the achievement of speci c ecological functions in ecosystems [22,25,26]. Topological properties can reveal the structure and characteristics of microbial networks.…”

Section: Introductionmentioning

confidence: 99%

Organic Matter Decomposition in River Ecosystems: the Role of Microbial Interactions Regulated by Environmental Factors

Liu

Bai-yu

Zhang³

et al. 2021

Preprint

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Microbes are the critical contributors to the organic matter decomposition (OMD) in river ecosystems. However, the role of microbial interactions on the OMD in river ecosystems and the regulation of environmental factors to the microbial interactions were not considered previously thus tacked in this study. Cotton strip (CS) as a substitute for organic matter was introduced to Luanhe River Basin in China. The results indicated that CS selectively enriched bacterial and fungal groups related to cellulose decomposition, leading to the cotton strip decomposition (CSD). In these groups, bacterial phyla Proteobacteria, fungal phyla Rozellomycota and Ascomycota were the dominant groups associated with the CSD. Bacteria and fungi on CS cooperatively formed a co-occurrence network to achieve the CSD. In the network, the key modules 2 and 4, mainly composed of phyla Proteobacteria and Ascomycota, directly promoted the CSD. Keystone taxa maintained the stability of microbial network structure and function, and regulated microbial groups associated with CSD in the key modules, rather than directly decomposing the CS. Notably, this study profoundly revealed that water temperature and total nitrogen (TN) regulated the keystone taxa and key modules in microbial interactions and then promoted the OMD. The two key modules 2 and 4 were significantly correlated with water temperature and TN in water, and two keystone taxa (bacterial genera Emticicia and Flavihumibacter) were significantly associated with TN. The research findings help us to understand the microbial mechanism of the OMD in rivers, which provides valuable insights into improving effective management strategies for river ecosystems.

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Long-term phosphorus deficiency decreased bacterial-fungal network complexity and efficiency across three soil types in China as revealed by network analysis

Cited by 51 publications

References 65 publications

Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity

Spatial and Temporal Distribution of Bacterioplankton Molecular Ecological Networks in the Yuan River under Different Human Activity Intensity

Variations in soil nutrient dynamics and bacterial communities in long-term tea monoculture production systems

Organic Matter Decomposition in River Ecosystems: the Role of Microbial Interactions Regulated by Environmental Factors

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