Microbial Heterotrophic Nitrification-Aerobic Denitrification Dominates Simultaneous Removal of Aniline and Ammonium in Aquatic Ecosystems

Qiao, Zixia; Sun, Ran; Wu, Yaoguo; Hu, Shixue; Liu, Xiaoyan; Chan, Jiangwei

doi:10.1007/s11270-020-04476-3

Cited by 29 publications

(12 citation statements)

References 47 publications

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“…This phenomenon may be due to the fresh water from Gan Jiang containing more pollutants (Cd, Mn, W, Cu, Xn, As) which may have a negative effect to the diversity of microbes [2,3]. However, the sediment layer was stable and full of nutrients, which can provide abundant carbon and nitrogen source for the sediment bacteria growth [50]. Samples from site 17 showed the highest Shannon index (H = 3.81) and Simpson Index (D = 0.98) and Evenness (E = 0.95), which indicated that the bacterial communities' diversity was greatly influenced by the Rao River with high total nitrogen and total phosphorous.…”

Section: Diversity Index Analysesmentioning

confidence: 99%

The correlation analyses of bacterial community composition and spatial factors between freshwater and sediment in Poyang Lake wetland by using artificial neural network (ANN) modeling

Sun

Fan

et al. 2020

Braz J Microbiol

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As one of the most important components of the lake ecosystem, microorganisms from the freshwater and sediment play an important role in many ecological processes. However, the difference and correlation of bacterial community between these two niches were not clear. This study investigated the diversity of microbial community of freshwater and sediment samples from fifteen locations in Poyang Lake wetland. The correlation between the bacterial community and physicochemical property of Poyang Lake wetland was analyzed by artificial neural network (ANN). Our results demonstrated that the freshwater and sediment bacterial community were dominated by groups of the Bacteroidetes (23.33%) and β-Proteobacteria (22.54%) separately, whereas, Canalipalpata, Bacillariophyta, Gemmatimonadetes, and Verrucomicrobia were detected in freshwater niches only. Phylogenetic analysis further indicated that bacterial composition in freshwater significantly differed with the sediment niches. There are 34 unique species accounted for 85% in fresh water samples and 28 unique species accounted for 82% in sediment samples. Cluster analysis further proved that all the samples from freshwater niches clustered closely together, far from the rest sediment samples. ANN analysis revealed that the freshwater with high N and P nutrients will greatly increase the diversity of the bacterial communities. In general, both environmental physicochemical properties, not each factor independently, contributed to the shift in the bacterial community structure. The five tributaries (Gan, Fu, Xin, Rao, Xiu Rivers) play a vital role in shaping the bacterial communities of Poyang Lake. This study provides new insights for understanding of microbial community compositions and structures of Poyang Lake wetland.

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Section: Diversity Index Analysesmentioning

confidence: 99%

The correlation analyses of bacterial community composition and spatial factors between freshwater and sediment in Poyang Lake wetland by using artificial neural network (ANN) modeling

Sun

Fan

et al. 2020

Braz J Microbiol

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“…Based on a literature search the 20 most abundant ASVs (Additional File 3, Table S2) belong to genera that can be linked to denitrification processes including Acinetobacter [88], Pseudomonas [89], Massilia [90], Sphingobium [91], Stenotrophomonas [92], Cellvibrio [93], Brevundimonas [94], Sphingomonas [95], Ralstonia [96], Cutibacterium (KEGG pathway Cutibacterium acnes KPA171202 [97]), Flavobacterium [98], and Ruegeria [99]. Further, Acinetobacter [88], Pseudomonas [89], Massilia [100], Sphingomonas [101] and…”

Section: The Role Of the Bacterial Microbiome In Holobiont Nutrient Cmentioning

confidence: 99%

Holobiont Nitrogen Control and its Potential for Eutrophication Resistance in an Obligate Photosymbiotic Jellyfish

Röthig

Puntin

Wong

et al. 2020

Preprint

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Background: Marine holobionts depend on microbial partners for health and nutrient cycling. This is particularly evident amongst cnidarian-Symbiodiniaceae symbioses, where nutrient acquisition is facilitated. However, the symbiosis is sensitive to environmental change - including eutrophication – that cause dysbiosis and host mortality, which contributes to global coral reef decline. Yet, some holobionts exhibit resistance to dysbiosis in eutrophic environments, including the obligate photosymbiotic scyphomedusa Cassiopea xamachana. Methods: Our aim was to assess the mechanisms in C. xamachana that stabilize symbiotic relationships. We combined labelled bicarbonate (13C) and nitrate (15N) and metabarcoding approaches to evaluate nutrient cycling and microbial community composition in symbiotic and aposymbiotic medusae.Results: We found C-cycling within the C. xamachana holobiont to be essential as aposymbiotic medusae continuously lost weight even at high heterotrophic feeding rates. Heterotrophically acquired C and N were readily shared among host and algae. This was in sharp contrast to nitrate assimilation, which was strongly restricted from Symbiodiniaceae. Instead, the bacterial microbiome seemed to play a major role in the holobiont’s DIN assimilation as uptake rates showed a significant positive relationship with phylogenetic diversity of medusa-associated bacteria. This is corroborated by inferred functional capacity that links the dominant bacterial taxa (~90 %) to nitrogen cycling and particularly denitrification. Observed bacterial community structure differed between apo- and symbiotic C. xamachana putatively highlighting enrichment of ammonium oxidizers and denitrifiers and depletion of nitrogen-fixators in symbiotic medusae. Conclusion: Host, algal symbionts, and bacterial associates contribute to regulated nutrient assimilation and cycling in C. xamachana. We found that the bacterial microbiome of symbiotic medusae was seemingly structured to increase DIN removal and enforce algal N-limitation - a mechanism that would help to stabilize algae-host relationship even under eutrophic conditions.

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“…7(b) shows that the distribution ranges of N0 and N47 were wider than those of N4 and N15, which demonstrated that the presence of ammonium and phenanthrene reduced the species richness. Our previous study 16 also showed that the richness of microorganisms decreased aer the addition of ammonium and aniline to the mixed cultures. The curve plot of N4 was the smallest, thereby suggesting the most even species distribution of N4.…”

Section: Ecological Nichementioning

confidence: 76%

“…The metal contents (Ca, Na, K, and Mg) and Cl À were determined according to our previous study. 16 The pH value in the sediment environment was analyzed using a sediment:water (1 : 1, w/v) extract. The TOC of the sediment phase was analyzed using a TOC analyzer (N/ C3000ChD, Jena, Germany).…”

Section: Methodsmentioning

confidence: 99%

“…In our previous study, ammonium was found to be biodegraded with aniline as the carbon source in heterotrophic nitrication-aerobic denitrication mixed cultures. 16 In addition to regular aromatic compounds, such as aniline, benzene, and phenol, [17][18][19] complex aromatic compounds, such as tetrabromobisphenol A and quinoline, 20,21 can be biodegraded by heterotrophic nitrication bacteria under aerobic conditions.…”

Section: Introductionmentioning

confidence: 99%

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Changes in the fluorescence intensity, degradability, and aromaticity of organic carbon in ammonium and phenanthrene-polluted aquatic ecosystems

Qiao

et al. 2021

RSC Adv.

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Microbial Heterotrophic Nitrification-Aerobic Denitrification Dominates Simultaneous Removal of Aniline and Ammonium in Aquatic Ecosystems

Cited by 29 publications

References 47 publications

The correlation analyses of bacterial community composition and spatial factors between freshwater and sediment in Poyang Lake wetland by using artificial neural network (ANN) modeling

The correlation analyses of bacterial community composition and spatial factors between freshwater and sediment in Poyang Lake wetland by using artificial neural network (ANN) modeling

Holobiont Nitrogen Control and its Potential for Eutrophication Resistance in an Obligate Photosymbiotic Jellyfish

Changes in the fluorescence intensity, degradability, and aromaticity of organic carbon in ammonium and phenanthrene-polluted aquatic ecosystems

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