Groundwater microbial communities and their connection to hydrochemical environment in Golmud, Northwest China

Guo, Liang; Wang, Guangcai; Sheng, Yizhi; Shi, Zheming; Sun, Xiangyu

doi:10.1016/j.scitotenv.2019.133848

Cited by 55 publications

(17 citation statements)

References 54 publications

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“…Pseudomonas spp. are common inhabitants of groundwaters all over the world (Guo et al, 2019), and have been exploited in several bioremediation experiments for their wide metabolic capacities (Bahar et al, 2016;Khodaei et al, 2017;Ko and Kong, 2017;Poi et al, 2018). A specific cluster of Pseudomonas ASVs retrieved in the present study was closely related to planktonic inhabitants of pristine and uranium-contaminated environments (Flynn et al, 2013;Alessi et al, 2014).…”

Section: Discussionmentioning

confidence: 54%

Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters

et al. 2021

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Arsenic mobilization in groundwater systems is driven by a variety of functionally diverse microorganisms and complex interconnections between different physicochemical factors. In order to unravel this great ecosystem complexity, groundwaters with varying background concentrations and speciation of arsenic were considered in the Po Plain (Northern Italy), one of the most populated areas in Europe affected by metalloid contamination. High-throughput Illumina 16S rRNA gene sequencing, CARD-FISH and enrichment of arsenic-transforming consortia showed that among the analyzed groundwaters, diverse microbial communities were present, both in terms of diversity and functionality. Oxidized inorganic arsenic [arsenite, As(III)] was the main driver that shaped each community. Several uncharacterized members of the genus Pseudomonas, putatively involved in metalloid transformation, were revealed in situ in the most contaminated samples. With a cultivation approach, arsenic metabolisms potentially active at the site were evidenced. In chemolithoautotrophic conditions, As(III) oxidation rate linearly correlated to As(III) concentration measured at the parental sites, suggesting that local As(III) concentration was a relevant factor that selected for As(III)-oxidizing bacterial populations. In view of the exploitation of these As(III)-oxidizing consortia in biotechnology-based arsenic bioremediation actions, these results suggest that contaminated aquifers in Northern Italy host unexplored microbial populations that provide essential ecosystem services.

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Section: Discussionmentioning

confidence: 54%

Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters

et al. 2021

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“…5 ). A previous study reported that microbial community structures in unconfined and confined aquifers were distinguishable ( Guo et al, 2019 ). Physicochemical parameters influencing the microbial community structures in the aquifers were the concentrations of DO and TP ( Fig.…”

Section: Discussionmentioning

confidence: 99%

Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes

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Mek-yong

et al. 2021

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The microbiomes of deep and shallow aquifers located in an agricultural area, impacted by an old tin mine, were explored to understand spatial variation in microbial community structures and identify environmental factors influencing microbial distribution patterns through the analysis of 16S rRNA and aioA genes. Although Proteobacteria, Cyanobacteria, Actinobacteria, Patescibacteria, Bacteroidetes, and Epsilonbacteraeota were widespread across the analyzed aquifers, the dominant taxa found in each aquifer were unique. The co-dominance of Burkholderiaceae and Gallionellaceae potentially controlled arsenic immobilization in the aquifers. Analysis of the aioA gene suggested that arsenite-oxidizing bacteria phylogenetically associated with Alpha-, Beta-, and Gamma proteobacteria were present at low abundance (0.85 to 37.13%) and were more prevalent in shallow aquifers and surface water. The concentrations of dissolved oxygen and total phosphorus significantly governed the microbiomes analyzed in this study, while the combination of NO3--N concentration and oxidation-reduction potential significantly influenced the diversity and abundance of arsenite-oxidizing bacteria in the aquifers. The knowledge of microbial community structures and functions in relation to deep and shallow aquifers is required for further development of sustainable aquifer management.

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“…• DNA sequencing enabled rapid characterization of bacteria in well-water samples. More recent and robust examples include monitoring the effectiveness of an acetate injection into an RDX (1,3,5trinitro-1,3,5-triazine) chemical compound plume by tracking temporal changes in microbial activity (Livermore, Jin, Arnseth, LePuil, & Mattes, 2013) and statistically comparing relationships between bacteria communities, geology, depth, and groundwater quality along a generalized flow path (Guo, Wang, Sheng, Shi, & Sun, 2019;Meng et al, 2020). The objective of this study was to assess whether dissimilarities in bacteria communities could be used to enhance the understanding of groundwater flow conditions in a complex hydrogeologic environment and aid in evaluating the source(s) of nitrate at such a site.…”

Section: Core Ideasmentioning

confidence: 99%

“…(2010) successfully relates shifts in microbial community structure to varying levels of leachate from a landfill in ex situ laboratory microcosms, suggesting that this technique could be used as an effective in situ tool for detecting low levels of contamination at their study area. More recent and robust examples include monitoring the effectiveness of an acetate injection into an RDX (1,3,5‐trinitro‐1,3,5‐triazine) chemical compound plume by tracking temporal changes in microbial activity (Livermore, Jin, Arnseth, LePuil, & Mattes, 2013) and statistically comparing relationships between bacteria communities, geology, depth, and groundwater quality along a generalized flow path (Guo, Wang, Sheng, Shi, & Sun, 2019; Meng et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Use of bacteria community analysis to distinguish groundwater recharge sources to shallow wells

et al. 2020

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In this study, bacteria community analysis was performed to supplement a preexisting evaluation of nitrate contamination in drinking water wells at a coastal site in Old Lyme, CT. Given well usage and coastal hydrogeologic conditions, the source(s) of nitrate contamination in domestic wells could not be discerned between local septic systems or a nearby farm where organic fertilizers were used. Groundwater bacteria communities are known to be sensitive to a variety of environmental conditions. As such, they are potentially useful in distinguishing groundwater recharge sources. Groundwater samples collected from wells were analyzed using polymerase chain reactions (PCR) and 16S rRNA sequencing to determine the bacteria distributions in each well. The biostatistical analysis of the data using Bray-Curtis nonmetric multidimensional scaling and permutational multivariate analysis of variance revealed three distinct bacteria community distributions that coincided with three different areas on the site. Additionally, principal component analysis (PCA) of the water quality data revealed that wells with similar bacteria shared similar water quality, all of which was indicative of local recharge. These findings suggested that the domestic well nitrate contamination was derived from local septic systems rather than the farm. Septic indicator analysis using ultra-performance liquid chromatography-tandem mass spectrometry determined the presence of caffeine in domestic wells, which was consistent with the conclusions from the bacteria analysis, PCA, and the known hydrogeologic conditions. The low cost, ease of sample collection, and growing availability of bioinformatics laboratory services and software are conducive to the application of microbial community analysis as a supplemental tool for groundwater investigations.

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Groundwater microbial communities and their connection to hydrochemical environment in Golmud, Northwest China

Cited by 55 publications

References 54 publications

Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters

Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters

Microbial community structure in aquifers associated with arsenic: analysis of 16S rRNA and arsenite oxidase genes

Use of bacteria community analysis to distinguish groundwater recharge sources to shallow wells

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