Characteristics of microbial eukaryotic community recovery in eutrophic water by using ecological floating beds

Liu, Lemian; Wang, Shanshan; Ji, Jiannan; Xie, Youping; Shi, Xinguo; Chen, Jianfeng

doi:10.1016/j.scitotenv.2019.134551

Cited by 29 publications

(7 citation statements)

References 43 publications

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“…In contrast, strong positive correlations between species are thought to weaken the compensatory dynamics. Moreover, in a community with a large proportion of strong and positive links between members, the members may respond in tandem to variation of environmental conditions, resulting in co-oscillation [18]. In this case, if a key member in network becomes extinct, other members will have extinct risk due to their strong and positive correlations with this key member [24].…”

Section: Discussionmentioning

confidence: 99%

“…We constructed 10 bacterial co-occurrence networks, and each network represents each sampling site. We constructed bacterial co-occurrence networks based on the Spearman's rank correlation to explore the relationships that were consistent among the bacterial ASVs using "picante" R package [18,39]. To reduce noise and thus false-positive predictions, we restricted our analysis to bacterial ASVs present in > 2/3 samples.…”

Section: Bacterial Co-occurrence Network Constructionmentioning

confidence: 99%

“…The hypervariable V3-V4 region of bacterial 16S rRNA gene were ampli ed with the 16S primer pair 341F (5'-CCT AYG GGR BGC ASC AG -3') and 806R (5'-GGA CTA CNN GGG TAT CTA AT -3') [33]. The PCR procedures were according to our previous study [18].…”

Section: Bacterial Community Collection and Illumina Sequencingmentioning

confidence: 99%

“…The increasing anthropogenic activities in water is likely to profoundly affect the aquatic community composition and function [10][11][12][13], and further have the potential consequences for co-occurrence networks of aquatic communities [14][15][16]. A co-occurrence network represents a set of nodes (microbial taxa or environmental factors) connected by directed or undirected edges (correlations) based on spearman' correlation, SparCC, eLSA or other methods [14,17,18]. Previous studies have used cooccurrence network to explore the potential interactions between microbial taxa (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Anthropogenic Activities Destabilized Bacterial Co-occurrence Networks in a Subtropical River

Liu

Wang

Chen

2021

Preprint

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Previous studies suggested that strong positive correlations between microbial taxa destabilized microbial co-occurrence network, because network members which had strong positive correlations with each other tended to decrease in abundance synchronously. Anthropogenic activities have strong influences on microbial community composition and diversity in riverine ecosystems, but how they influence the stability of microbial co-occurrence network remain unclear. In this study, we used nutrient concentrations (nitrogen and phosphorus) as an indicator for anthropogenic activities, and explored the effects of anthropogenic activities on the stability of bacterial co-occurrence networks in a subtropical river, Xiyuan River. The nutrient concentrations were higher in midstream and downstream areas than in upstream area of Xiyuan River. The average proportion and correlation coefficient of positive correlations were higher in midstream and downstream networks than in upstream networks, indicating frequent anthropogenic activities destabilized the bacterial co-occurrence networks. To further explore the mechanisms, we found that the changes of network stabilities were associated with the changes of bacterial functions. Anthropogenic activity tolerant bacteria (e.g. nutrient removal, aromatic degradation and pathogen bacteria) and their linked bacterial members formed the large and strong positive modules in the midstream and downstream networks, and thus destabilized the networks. Based on network perspective, our results provide a new insight in the mechanisms of how anthropogenic activities alter riverine microbial communities.

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Section: Discussionmentioning

confidence: 99%

Section: Bacterial Co-occurrence Network Constructionmentioning

confidence: 99%

Section: Bacterial Community Collection and Illumina Sequencingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Anthropogenic Activities Destabilized Bacterial Co-occurrence Networks in a Subtropical River

Liu

Wang

Chen

2021

Preprint

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“…Ecological oating bed (EFB) is a promising ecological engineering tool for restoring polluted (eutrophic [27][28][29], organic polluted [30], heavy metals polluted [31] and so on) waterbodies. It has many advantages, including small land occupied, little in uence by water level uctuation, convenient management, economical and e cient, and also with a good landscape effect [32].…”

Section: Introductionmentioning

confidence: 99%

Diverse and abundant arbuscular mycorrhizal fungi in ecological floating beds used to treat eutrophic water

Fang

et al. 2021

Appl Microbiol Biotechnol

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An increasing number of investigations have demonstrated the universal existence of arbuscular mycorrhizal fungi (AMF) in aquatic ecosystems. However, little is known about the accurate distribution and functions of AMF inhabiting aquatic ecosystems, especially ecological oating bed (EFB) which was constructed for the remediation of polluted waterbodies.In this study, we collected root samples of Canna generalis, Cyperus alternifolius and Eichhornia crassipes from three EFBs oating on two eutrophic lakes in Wuhan, China, to investigate the resources and distribution of AMF in EFBs using Illumina Mi-seq technology. A total of 229 operational taxonomic units (OTUs) and 21 taxon from 348,799 Glomeromycota sequences were detected. Glomus was the most dominant AMF in the three EFBs while the second dominant AMF was related to Acaulospora. Different aquatic plant species exhibited varying degrees of AMF colonization (3.83%~71%), diversity (6~103 OTUs, 3~15 virtual taxa) and abundance (14~57551 sequences). Low AMF abundance but relatively high AMF diversity were found in C. alternifolius which is usually considered as nonmycorrhizal, demonstrating the high accuracy of Illumina sequencing. In addition, results from this study suggested a lognormal species abundance distribution was observed across AMF taxa in the three plant species, and the AMF community composition was closely related to pH, nitrogen and phosphorus.Overall, our data demonstrated that diverse and abundant AMF communities were living in EFBs, and the AMF community composition was closely related to the water quality of eutrophic lakes treated by EFBs, providing potential possibility for the applications of AMF in plant-based bioremediation of wastewater.

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Anthropogenic activities destabilized riverine bacterial communities by increasing synchrony between taxa

2021

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Characteristics of microbial eukaryotic community recovery in eutrophic water by using ecological floating beds

Cited by 29 publications

References 43 publications

Anthropogenic Activities Destabilized Bacterial Co-occurrence Networks in a Subtropical River

Anthropogenic Activities Destabilized Bacterial Co-occurrence Networks in a Subtropical River

Diverse and abundant arbuscular mycorrhizal fungi in ecological floating beds used to treat eutrophic water

Anthropogenic activities destabilized riverine bacterial communities by increasing synchrony between taxa

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