Total Arsenic, pH, and Sulfate Are the Main Environmental Factors Affecting the Microbial Ecology of the Water and Sediments in Hulun Lake, China

Shang, Yongquan; Wu, Xiaoyang; Wei, Qinguo; Dou, Huashan; Wang, Xibao; Chen, Jun; Zhang, Huanxin; Ma, Shengchao; Zhang, Honghai

doi:10.3389/fmicb.2020.548607

Cited by 25 publications

(13 citation statements)

References 65 publications

(78 reference statements)

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“…For bacteria and archaea, we found that variations in total LCBD and LCBD Repl were greatly contributed by the water factors such as NO 3 − -N or NO 2 − -N ( Figure 4A ), which may be related to eutrophication and the local climates. Hulun Lake, as a large hypereutrophic steppe lake, has clearly shown that microbial taxa such as bacteria and archaea frequently participate in the cycling of carbon, nitrogen and phosphorus in aquatic ecosystem ( Shang et al, 2020 ). Over the past few years, however, the warming and drying climate has gradually accelerated the shrinking of water area and the decrease of water level in Hulun Lake ( Cai et al, 2016 ).…”

Section: Discussionmentioning

confidence: 99%

Taxonomic dependency of beta diversity for bacteria, archaea, and fungi in a semi-arid lake

et al. 2022

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Microbial beta diversity has been recently studied along the water depth in aquatic ecosystems, however its turnover and nestedness components remain elusive especially for multiple taxonomic groups. Based on the beta diversity partitioning developed by Baselga and Local Contributions to Beta Diversity (LCBD) partitioning by Legendre, we examined the water-depth variations in beta diversity components of bacteria, archaea and fungi in surface sediments of Hulun Lake, a semi-arid lake in northern China, and further explored the relative importance of environmental drivers underlying their patterns. We found that the relative abundances of Proteobacteria, Chloroflexi, Euryarchaeota, and Rozellomycota increased toward deep water, while Acidobacteria, Parvarchaeota, and Chytridiomycota decreased. For bacteria and archaea, there were significant (p < 0.05) decreasing water-depth patterns for LCBD and LCBDRepl (i.e., species replacement), while increasing patterns for total beta diversity and turnover, implying that total beta diversity and LCBD were dominated by species turnover or LCBDRepl. Further, bacteria showed a strong correlation with archaea regarding LCBD, total beta diversity and turnover. Such parallel patterns among bacteria and archaea were underpinned by similar ecological processes like environmental selection. Total beta diversity and turnover were largely affected by sediment total nitrogen, while LCBD and LCBDRepl were mainly constrained by water NO2−-N and NO3−-N. For fungal community variation, no significant patterns were observed, which may be due to different drivers like water nitrogen or phosphorus. Taken together, our findings provide compelling evidences for disentangling the underlying mechanisms of community variation in multiple aquatic microbial taxonomic groups.

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Section: Discussionmentioning

confidence: 99%

Taxonomic dependency of beta diversity for bacteria, archaea, and fungi in a semi-arid lake

et al. 2022

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“…The results were accurate to the last two decimal places. The contents of total nitrogen and total organic carbon were determined by using multi N/C 3100 analyzer with reference to Kirschler sodium benzoate method, combustion oxidation method and non-dispersive infrared method (Wang et al 2020 ; Sui et al 2021 ; Shang et al 2020 ; Chen et al, 2023 ). All the experimental processes were completed in the Experimental Center of the College of Life Science, Qufu Normal University.…”

Section: Methodsmentioning

confidence: 99%

Seasonal changes of soil microbiota and its association with environmental factors in coal mining subsidence area

Wang,

Sun,

Zhao

et al. 2023

AMB Expr

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Background As a special type of wetland, the new wetland in the coal mining subsidence area is highly sensitive to environmental changes. In recent years, more and more attention has been paid to the studies of soil microbial diversity in newly born wetlands in coal mining subsidence areas. However, there are few reports on the seasonal variation of soil microbial diversity and its relationship with soil physical and chemical properties. Methods In this study, 16S rRNA gene sequencing technology was used to analyze the seasonal changes of soil microbial composition and functional diversity in newly formed wetlands in coal mining subsidence areas, and to determine the seasonal changes of soil nutrient elements and physical and chemical properties in coal mining subsidence areas, so as to analyze the correlation between soil microbial diversity and soil nutrient elements and physical and chemical properties in newly formed wetlands in coal mining subsidence areas. Results A total of 16,050 OTUs were obtained after sample gene noise reduction. Proteobacteria, Acidobacteriota and Bacteroidota were the highest abundance in the coal mining subsidence area of Jining. The two seasons gathered separately, and temperature (Temp), total phosphorus (TP), available phosphorus (AP), total organic carbon (TOC) and dry matter content (DMC) were the key factors for the seasonal change of soil microbial community in the wetland of the coal mining subsidence area of Jining. The contents of Temp, AP and TP were significantly correlated with the abundance of soil microorganisms in summer subsidence area, while the contents of DMC and TOC were significantly correlated with the abundance of soil microorganisms in winter subsidence area. Conclusion Soil microbial diversity in coal mining subsidence area was correlated with the seasons. Temp, TP, AP, TOC and DMC were the key factors for the seasonal change of soil microbial community in the wetland of the coal mining subsidence area of Jining.

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“…When the microbial population in the lake water decreases, the nutrient cycles shift, and a cyclic process is produced. The structure of microphytic communities is in uenced by a variety of environmental factors (Shang et al 2020). Several different indexes are used in ecological investigations.…”

Section: α-Diversity and Rarefaction Curvesmentioning

confidence: 99%

Identification and profiling of microbial community from industrial sludge

Sharma

Singh

2022

Arch Microbiol

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This study aims to identify microbial communities and their taxonomical pro ling basis of order, species, genus, family, and class at the level in the sludge of pulp and paper industry. Studies showed dominant phyla in 16S rDNA Illumina Miseq analysis inside sludge were Anaerolinea, Pseudomonas, Clostridia, Bacteriodia, Gammaproteobacteria, Spirochetia, Deltaproteobacteria, Spirochaetaceae, Prolixibacteraceae and some unknown microbial strains are also dominant. The results of metabarcoding of the V3-V4 16S rRNA regions acquired from paired-end Illumina MiSeq sequencing were used to analyze bacterial communities and structure. Microorganisms can produce a vast variety of secondary metabolites, all of which are playing a crucial in biogeochemical cycle processes. The present work demonstrates the potential approach to sludge treatment in the open environment via the naturally adapted microorganism, which could be an essential addition to the disposal site. In summary, these investigations indicate that the indigenous microbial community is an acceptable bioresource for remediation or detoxi cation following secondary treatment. This research aims at understanding the structure of microbial communities and their taxonomic diversity (%) in highly contaminated sludge to perform in-situ bioremediation.

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Total Arsenic, pH, and Sulfate Are the Main Environmental Factors Affecting the Microbial Ecology of the Water and Sediments in Hulun Lake, China

Cited by 25 publications

References 65 publications

Taxonomic dependency of beta diversity for bacteria, archaea, and fungi in a semi-arid lake

Taxonomic dependency of beta diversity for bacteria, archaea, and fungi in a semi-arid lake

Seasonal changes of soil microbiota and its association with environmental factors in coal mining subsidence area

Identification and profiling of microbial community from industrial sludge

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