Distribution of microbial populations and their relationship with environmental variables in the North Yellow Sea, China

Bai, Xiaoge; Wang, Min; Liang, Yantao; Zhang, Zhifeng; Wang, Fang; Jiang, Xiaoda

doi:10.1007/s11802-012-1799-8

Cited by 11 publications

(7 citation statements)

References 53 publications

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“…As still little is known about viral community dynamics in petroleum reservoirs, more efforts are needed to investigate the viral distribution, abundance, and diversity in the underground ecosystem. Compared with the viral abundance in other environments, for example, aquatic environment, the abundance of viruses in the petroleum reservoir was in a different order of magnitude as those previously reported in aquatic environments, including marine [ 42 , 43 , 44 ], stormwater retention ponds [ 45 ], and tropical estuaries [ 46 ]. Interestingly, the virus abundance of production wells in the microbial flooding block was slightly higher than that in the water flooding block.…”

Section: Discussionmentioning

confidence: 75%

Viral Abundance and Diversity of Production Fluids in Oil Reservoirs

et al. 2020

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Viruses are widely distributed in various ecosystems and have important impacts on microbial evolution, community structure and function and nutrient cycling in the environment. Viral abundance, diversity and distribution are important for a better understanding of ecosystem functioning and have often been investigated in marine, soil, and other environments. Though microbes have proven useful in oil recovery under extreme conditions, little is known about virus community dynamics in such systems. In this study, injection water and production fluids were sampled in two blocks of the Daqing oilfield limited company where water flooding and microbial flooding were continuously used to improve oil recovery. Virus-like particles (VLPs) and bacteria in these samples were extracted and enumerated with epifluorescence microscopy, and viromes of these samples were also sequenced with Illumina Hiseq PE150. The results showed that a large number of viruses existed in the oil reservoir, and VLPs abundance of production wells was 3.9 ± 0.7 × 108 mL−1 and virus to bacteria ratio (VBR) was 6.6 ± 1.1 during water flooding. Compared with water flooding, the production wells of microbial flooding had relative lower VLPs abundance (3.3 ± 0.3 × 108 mL−1) but higher VBR (7.9 ± 2.2). Assembled viral contigs were mapped to an in-house virus reference data separate from the GenBank non-redundant nucleotide (NT) database, and the sequences annotated as virus accounted for 35.34 and 55.04% of total sequences in samples of water flooding and microbial flooding, respectively. In water flooding, 7 and 6 viral families were identified in the injection and production wells, respectively. In microbial flooding, 6 viral families were identified in the injection and production wells. The total number of identified viral species in the injection well was higher than that in the production wells for both water flooding and microbial flooding. The Shannon diversity index was higher in the production well of water flooding than in the production well of microbial flooding. These results show that viruses are very abundant and diverse in the oil reservoir’s ecosystem, and future efforts are needed to reveal the potential function of viral communities in this extreme environment.

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Section: Discussionmentioning

confidence: 75%

Viral Abundance and Diversity of Production Fluids in Oil Reservoirs

et al. 2020

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“…Prochlorococcus was not detected in all samples. Previous studies showed that although Prochlorococcus was detected in the offshore waters of East China Sea and South China Sea, they were not detected in the Yellow Sea and Bohai Sea ( Jiao and Yang, 2002 ; Jiao et al, 2002 , 2005 ; Bai et al, 2012 ; Guo et al, 2014 ).…”

Section: Resultsmentioning

confidence: 95%

Estimating Primary Production of Picophytoplankton Using the Carbon-Based Ocean Productivity Model: A Preliminary Study

et al. 2017

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Picophytoplankton are acknowledged to contribute significantly to primary production (PP) in the ocean while now the method to measure PP of picophytoplankton (PPPico) at large scales is not yet well established. Although the traditional 14C method and new technologies based on the use of stable isotopes (e.g., 13C) can be employed to accurately measure in situ PPPico, the time-consuming and labor-intensive shortage of these methods constrain their application in a survey on large spatiotemporal scales. To overcome this shortage, a modified carbon-based ocean productivity model (CbPM) is proposed for estimating the PPPico whose principle is based on the group-specific abundance, cellular carbon conversion factor (CCF), and temperature-derived growth rate of picophytoplankton. Comparative analysis showed that the estimated PPPico using CbPM method is significantly and positively related (r2 = 0.53, P < 0.001, n = 171) to the measured 14C uptake. This significant relationship suggests that CbPM has the potential to estimate the PPPico over large spatial and temporal scales. Currently this model application may be limited by the use of invariant cellular CCF and the relatively small data sets to validate the model which may introduce some uncertainties and biases. Model performance will be improved by the use of variable conversion factors and the larger data sets representing diverse growth conditions. Finally, we apply the CbPM-based model on the collected data during four cruises in the Bohai Sea in 2005. Model-estimated PPPico ranged from 0.1 to 11.9, 29.9 to 432.8, 5.5 to 214.9, and 2.4 to 65.8 mg C m-2 d-1 during March, June, September, and December, respectively. This study shed light on the estimation of global PPPico using carbon-based production model.

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“…pH can directly affect the growth of microorganisms and affect the community structure and diversity of microorganisms by changing the physical and chemical properties of water (Yannarell et al 2005, Langenheder et al 2006). Chl-a was a good indicator of the stock of phytoplankton (Bai et al 2009), and studies found that planktonic bacteria were closely related to the community structure of phytoplankton (Kirchman et al 1991, Teeling et al 2012. Bacteria not only absorb the organic matter produced by phytoplankton but also provide organic nutrients and growth factors for phytoplankton.…”

Section: Discussionmentioning

confidence: 99%

Characterization of the bacterioplankton community and the influencing factors in the upper reaches of the Han River basin

Sun

Pan

et al. 2021

Environ Sci Pollut Res

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The upper reaches of the Han River are the source region of water for the Middle Route of China's South-to-North Water Diversion Project, mainly for household, industrial, and irrigation purposes. Planktonic bacteria are more sensitive than macroorganisms to water physical and chemical properties and play a critical role in biogeochemical processes in river ecosystems. In November 2017 and April 2018, a systematic and methodical survey was carried out to evaluate the water quality and bacterial communities, on the mainstem of the Han River and its ve main tributaries. In this study, high-throughput sequencing technology has been employed to investigate the bacterioplankton community composition. The results indicated that: 1) Diversity increased downstream, especially in the upper reaches of the Han River. 2) The relative abundance of Actinobacteria increased with the increase of river length, while that of Bacteroidetes decreased slightly. 3) Five tributaries were found to be importance sources of taxa to the Han River, however in both months a large proportion of OTUs (37.84% and 36.34%, respectively) had unknown sources. 4) Finally, redundancy analysis (RDA) and Bioenv analysis showed that environmental parameters (pH, TN, Cond, NH 4 + -N, DO, NO 2 − -N, Chl-a and T) had a great in uence (p ≤ 0.05) on the bacterioplankton community. These research results are bene cial for the managing the ecological system, protecting the tributary biodiversity, and conserving the mainstem and tributaries of the Han River basin.

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Distribution of microbial populations and their relationship with environmental variables in the North Yellow Sea, China

Cited by 11 publications

References 53 publications

Viral Abundance and Diversity of Production Fluids in Oil Reservoirs

Viral Abundance and Diversity of Production Fluids in Oil Reservoirs

Estimating Primary Production of Picophytoplankton Using the Carbon-Based Ocean Productivity Model: A Preliminary Study

Characterization of the bacterioplankton community and the influencing factors in the upper reaches of the Han River basin

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