Response of bacterial community in composition and function to the various DOM at river confluences in the urban area

Li, Yi; Xu, Chen; Zhang, Wenlong; Lin, Li; Wang, Long; Niu, Lihua; Zhang, Huanjun; Wang, Peifang; Wang, Chao

doi:10.1016/j.watres.2019.115293

Cited by 82 publications

(23 citation statements)

References 58 publications

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“…Comparisons of the EEM contours of each component with those reported previously ( Table 2 ) showed that the three components identified from the fluorescence spectra consisted of two protein-like components and one humic-like component. Component 1 (C1: Ex/Em, 275/325 nm) was comparable to a protein-like substance [ 11 ] ( Figure 6 A). Component 2 (C2: Ex/Em, 225/345 nm) was considered to be similar to a protein-like substance (tryptophan-like DOM) [ 11 ] ( Figure 6 A).…”

Section: Resultsmentioning

confidence: 99%

“…Component 1 (C1: Ex/Em, 275/325 nm) was comparable to a protein-like substance [ 11 ] ( Figure 6 A). Component 2 (C2: Ex/Em, 225/345 nm) was considered to be similar to a protein-like substance (tryptophan-like DOM) [ 11 ] ( Figure 6 A). Component 3 (C3: Ex/Em, 250/410 nm) was likely related to a humic-like substance with a high molecular weight [ 54 ] ( Figure 6 A).…”

Section: Resultsmentioning

confidence: 99%

“…The interactions between the microbial community and DOM in freshwater ecosystems were explored in Lake Carioca [ 1 ]. The response to the various DOM of the composition and function of bacterial communities has been analysed at river confluences in urban areas [ 11 ]. Previous studies have mostly focused on southern lakes in China.…”

Section: Introductionmentioning

confidence: 99%

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Linking Shifts in Bacterial Community Composition and Function with Changes in the Dissolved Organic Matter Pool in Ice-Covered Baiyangdian Lake, Northern China

Zhou

Sun

et al. 2020

Microorganisms

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The relationship between CDOM (Chromophoric dissolved organic matter) and the bacterial community was investigated in ice-covered Baiyangdian Lake. The results showed that environmental parameters significantly differed in Baiyangdian Lake, whereas a-diversity was not significantly different. Moreover, the microbial and functional communities exhibited significant differences, and T (Temperature), pH, ORP (Oxidation-reduction potential), DO (Dissolved oxygen), NO3−-N, NH4+-N, and Mn (Manganese) were the main environmental factors of these differences, based on redundancy analysis and the Mantel test. Biomarkers of the microbial and functional communities were investigated through linear discriminant analysis effect size and STAMP analysis. The number of biomarkers in the natural area was highest among the typical zones, and most top functions were related to carbohydrate metabolism. Two protein-like components (C1 and C2) and one humic-like component (C3) were identified by parallel factor analysis, and C1 was positively related to C2 (R = 0.99, p < 0.001), indicating the same sources. Moreover, CDOM significantly differed among the typical zones (p < 0.001). The high biological index, fluorescence index, β:α, and low humification index indicated a strong autochthonous component and aquatic bacterial origin, which was consistent with the results of UV-vis absorption spectroscopy. Network analysis revealed non-random co-occurrence patterns. The bacterial and functional communities interacted closely with CDOM. The dominant genera were CL500-29_marine_group, Flavobacterium, Limnohabitans, and Candidatus_Aquirestis. Random forest analysis showed that C1, C2, and C3 are important predictors of α- and β-diversity in the water bacterial community and its functional composition. This study provides insight into the interaction between bacterial communities and DOM (Dissolved organic matter) in ice-covered Baiyangdian Lake.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Linking Shifts in Bacterial Community Composition and Function with Changes in the Dissolved Organic Matter Pool in Ice-Covered Baiyangdian Lake, Northern China

Zhou

Sun

et al. 2020

Microorganisms

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“…Wu et al [ 13 ] found that the humic substance components were responsible for Cu(II) binding, and the protein was the only fraction involved in Cd(II) binding. Besides, proteobacteria were closely associated with DOM components during the DOM-degrading process [ 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Effect of Pyrolysis Temperature on the Characterisation of Dissolved Organic Matter from Pyroligneous Acid

et al. 2021

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Dissolved organic matter (DOM) greatly influences the transformation of nutrients and pollutants in the environment. To investigate the effects of pyrolysis temperatures on the composition and evolution of pyroligneous acid (PA)-derived DOM, DOM solutions extracted from a series of PA derived from eucalyptus at five pyrolysis temperature ranges (240–420 °C) were analysed with Fourier transform infrared spectroscopy, gas chromatography–mass spectroscopy, and fluorescence spectroscopy. Results showed that the dissolved organic carbon content sharply increased (p < 0.05) with an increase in pyrolysis temperature. Analysis of the dissolved organic matter composition showed that humic-acid-like substances (71.34–100%) dominated and other fluorescent components (i.e., fulvic-acid-like, soluble microbial by-products, and proteinlike substances) disappeared at high temperatures (>370 °C). The results of two-dimensional correlation spectroscopic analysis suggested that with increasing pyrolysis temperatures, the humic-acid-like substances became more sensitive than other fluorescent components. This study provides valuable information on the characteristic evolution of PA-derived DOM.

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“…Recently, with the expansion of high-throughput sequencing technology, people have become increasingly aware that microorganisms play a significant role in energy conversion and information transfer in aquatic ecosystems (Okafor 2011;Fan et al 2019;Li et al 2020) and are extremely susceptible to fluctuations in the surrounding environment (Martins et al 2011;Oikonomou et al 2015). Monitoring microbial community dynamics under certain ambient pressures can facilitate the identification of bacterial indicators and shed light on the evaluation and prediction of water degradation (Fortunato et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Effect of different types of industrial wastewater on the bacterial community of urban rivers

Zhang

Zhou

Cheng

et al. 2021

Journal of Freshwater Ecology

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Although the health of rivers is threatened by multiple anthropogenic stressors with increasing frequency, the impacts of different types of industrial pollution with regard to the structure and diversity of the bacterial community in the river have not been fully recorded. In order to study the composition and interaction of bacterial communities and co-occurrence patterns of bacterial communities in rivers polluted by different industries, we sampled the sewage outfalls of textile factory, food manufacturer, steel plant and lighting factory. The result showed that the bacterial community composition significantly differed in the rivers polluted by distinct types of industrial pollution. In addition, correlation-based network analysis showed that the microbial under different industrial pollution types have a nonrandom modular structure, and the nodes in the different modules perform different functions. In summary, adaptive changes in the composition of bacterial communities in rivers and the occurrence of species interactions are responses to different types of industrial pollution.

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Response of bacterial community in composition and function to the various DOM at river confluences in the urban area

Cited by 82 publications

References 58 publications

Linking Shifts in Bacterial Community Composition and Function with Changes in the Dissolved Organic Matter Pool in Ice-Covered Baiyangdian Lake, Northern China

Linking Shifts in Bacterial Community Composition and Function with Changes in the Dissolved Organic Matter Pool in Ice-Covered Baiyangdian Lake, Northern China

Effect of Pyrolysis Temperature on the Characterisation of Dissolved Organic Matter from Pyroligneous Acid

Effect of different types of industrial wastewater on the bacterial community of urban rivers

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