Exogenous-organic-matter-driven mobilization of groundwater arsenic

Feng, Fan; Jiang, Yonghai; Jia, Yongfeng; Lian, Xinying; Shang, Changjian; Zhao, Meng

doi:10.1016/j.ese.2023.100243

Cited by 13 publications

(3 citation statements)

References 127 publications

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“…6D). These two types of strains belong to species known as plant growthpromoting rhizobacteria (PGPR) and biocontrol bacteria [66], and they are frequently encountered and exhibit co-occurrence within microbial communities present in soil ecosystems with relatively high abundance [67][68][69][70][71][72][73]. However, these two types of strains differ in their carbon source utilization capabilities.…”

Section: Discussionmentioning

confidence: 99%

Two-tiered mutualism improves survival and competitiveness of cross-feeding soil bacteria

Ge,

Zhai,

Xie

et al. 2023

The ISME Journal

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Metabolic cross-feeding is a pervasive microbial interaction type that affects community stability and functioning and directs carbon and energy flows. The mechanisms that underlie these interactions and their association with metal/metalloid biogeochemistry, however, remain poorly understood. Here, we identified two soil bacteria, Bacillus sp. BP-3 and Delftia sp. DT-2, that engage in a two-tiered mutualism. Strain BP-3 has low utilization ability of pyruvic acid while strain DT-2 lacks hexokinase, lacks a phosphotransferase system, and is defective in glucose utilization. When strain BP-3 is grown in isolation with glucose, it releases pyruvic acid to the environment resulting in acidification and eventual self-killing. However, when strain BP-3 is grown together with strain DT-2, strain DT-2 utilizes the released pyruvic acid to meet its energy requirements, consequently rescuing strain BP-3 from pyruvic acid-induced growth inhibition. The two bacteria further enhance their collective competitiveness against other microbes by using arsenic as a weapon. Strain DT-2 reduces relatively non-toxic methylarsenate [MAs(V)] to highly toxic methylarsenite [MAs(III)], which kills or suppresses competitors, while strain BP-3 detoxifies MAs(III) by methylation to non-toxic dimethylarsenate [DMAs(V)]. These two arsenic transformations are enhanced when strains DT-2 and BP-3 are grown together. The two strains, along with their close relatives, widely co-occur in soils and their abundances increase with the soil arsenic concentration. Our results reveal that these bacterial types employ a two-tiered mutualism to ensure their collective metabolic activity and maintain their ecological competitive against other soil microbes. These findings shed light on the intricateness of bacterial interactions and their roles in ecosystem functioning.

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Section: Discussionmentioning

confidence: 99%

Two-tiered mutualism improves survival and competitiveness of cross-feeding soil bacteria

Ge,

Zhai,

Xie

et al. 2023

The ISME Journal

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“…Next, each sample was sieved using a nylon sieve to remove coarse material and other residues, leaving only the fine material (<2 mm). The sieved samples were stored in tightly sealed plastic bags for further analysis (Feng et al 2023).…”

Section: Study Area and Samplesmentioning

confidence: 99%

Evaluating Arsenic and Lead Contamination in Itata Valley Agricultural Soils, Chile: Integration of Slurry-TXRF and Machine Learning Technique for Efficient Monitoring

Medina-González,

Medina,

Muñoz

et al. 2024

Preprint

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A machine learning method was applied to improve the accuracy of the determination of Arsenic and Lead by Slurry - Total Reflection X-ray fluorescence (Slurry-TXRF) with the idea of being applied to the ecological assessment of agricultural soils. Due to TXRF's relatively low resolution, a particular and well-known overlapping of arsenic signal Kα at 10.55 keV with Lαsignal at 10.54 keV of the lead can compromise its determination. Applying a multivariate calibration method based on a machine learning algorithm, for example, Partial Least Squares, could reduce variations due to interference and, consequently, improve the selectivity and accuracy in arsenic and lead determination. In this work the X-Ray fluorescence emission signals was evaluated for a set of 26 different synthetic calibration mixtures and a significant accuracy improvement for arsenic and lead determination was observed, overcoming the problems associated with spectral interferences. Furthermore, with these models, arsenic and lead were quantified from soils of a viticultural subregion of Chile, allowing the estimation of ecological indices in a fast and reliable way. The results report that the level of contamination of these soils concerning arsenic and lead is moderate to considerable.

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“…In addition to Fe, substantial studies have reported that OM can also affect the surface complexation of Fe (hydr) oxides with Sb(V) in natural environments, 1,21,22 given that Fe (hydr)oxides can also intimately be associated with OM to constitute an Fe-OM complex, 23,24 and the geochemical cycle of Sb could be heavily controlled by Fe-OM associations that can occur in particulate or colloidal form. 24 Sb can usually form associations with low-molecular-weight ligands and interact with Fe-OM colloids in aquatic environments.…”

Section: Introductionmentioning

confidence: 99%

Co-transport of ferrihydrite–organic matter colloids with Sb(v) in saturated porous media: implications for antimony mobility

Mao,

Wang,

et al. 2024

Environ. Sci.: Nano

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Exogenous-organic-matter-driven mobilization of groundwater arsenic

Cited by 13 publications

References 127 publications

Two-tiered mutualism improves survival and competitiveness of cross-feeding soil bacteria

Two-tiered mutualism improves survival and competitiveness of cross-feeding soil bacteria

Evaluating Arsenic and Lead Contamination in Itata Valley Agricultural Soils, Chile: Integration of Slurry-TXRF and Machine Learning Technique for Efficient Monitoring

Co-transport of ferrihydrite–organic matter colloids with Sb(v) in saturated porous media: implications for antimony mobility

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