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MacGregor H, Fukai I, Ash K, Arkin AP, Hazen TC. Potential applications of microbial genomics in nuclear non-proliferation. Front Microbiol 2024; 15:1410820. [PMID: 39360321 PMCID: PMC11445143 DOI: 10.3389/fmicb.2024.1410820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 09/04/2024] [Indexed: 10/04/2024] Open
Abstract
As nuclear technology evolves in response to increased demand for diversification and decarbonization of the energy sector, new and innovative approaches are needed to effectively identify and deter the proliferation of nuclear arms, while ensuring safe development of global nuclear energy resources. Preventing the use of nuclear material and technology for unsanctioned development of nuclear weapons has been a long-standing challenge for the International Atomic Energy Agency and signatories of the Treaty on the Non-Proliferation of Nuclear Weapons. Environmental swipe sampling has proven to be an effective technique for characterizing clandestine proliferation activities within and around known locations of nuclear facilities and sites. However, limited tools and techniques exist for detecting nuclear proliferation in unknown locations beyond the boundaries of declared nuclear fuel cycle facilities, representing a critical gap in non-proliferation safeguards. Microbiomes, defined as "characteristic communities of microorganisms" found in specific habitats with distinct physical and chemical properties, can provide valuable information about the conditions and activities occurring in the surrounding environment. Microorganisms are known to inhabit radionuclide-contaminated sites, spent nuclear fuel storage pools, and cooling systems of water-cooled nuclear reactors, where they can cause radionuclide migration and corrosion of critical structures. Microbial transformation of radionuclides is a well-established process that has been documented in numerous field and laboratory studies. These studies helped to identify key bacterial taxa and microbially-mediated processes that directly and indirectly control the transformation, mobility, and fate of radionuclides in the environment. Expanding on this work, other studies have used microbial genomics integrated with machine learning models to successfully monitor and predict the occurrence of heavy metals, radionuclides, and other process wastes in the environment, indicating the potential role of nuclear activities in shaping microbial community structure and function. Results of this previous body of work suggest fundamental geochemical-microbial interactions occurring at nuclear fuel cycle facilities could give rise to microbiomes that are characteristic of nuclear activities. These microbiomes could provide valuable information for monitoring nuclear fuel cycle facilities, planning environmental sampling campaigns, and developing biosensor technology for the detection of undisclosed fuel cycle activities and proliferation concerns.
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Affiliation(s)
| | - Isis Fukai
- Bredesen Center, University of Tennessee, Knoxville, TN, United States
| | - Kurt Ash
- Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, United States
| | - Adam Paul Arkin
- University of California, Berkeley, Berkeley, CA, United States
| | - Terry C. Hazen
- Bredesen Center, University of Tennessee, Knoxville, TN, United States
- Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, United States
- Department of Microbiology, University of Tennessee, Knoxville, TN, United States
- Department of Earth and Planetary Sciences, University of Tennessee, Knoxville, TN, United States
- Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States
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Morales-Hidalgo M, Povedano-Priego C, Martinez-Moreno MF, Ojeda JJ, Jroundi F, Merroun ML. Long-term tracking of the microbiology of uranium-amended water-saturated bentonite microcosms: A mechanistic characterization of U speciation. JOURNAL OF HAZARDOUS MATERIALS 2024; 476:135044. [PMID: 38943881 DOI: 10.1016/j.jhazmat.2024.135044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 06/14/2024] [Accepted: 06/25/2024] [Indexed: 07/01/2024]
Abstract
Deep geological repositories (DGRs) stand out as one of the optimal options for managing high-level radioactive waste (HLW) such as uranium (U) in the near future. Here, we provide novel insights into microbial behavior in the DGR bentonite barrier, addressing potential worst-case scenarios such as waste leakage (e.g., U) and groundwater infiltration of electron rich donors in the bentonite. After a three-year anaerobic incubation, Illumina sequencing results revealed a bacterial diversity dominated by anaerobic and spore-forming microorganisms mainly from the phylum Firmicutes. Highly U tolerant and viable bacterial isolates from the genera Peribacillus, Bacillus, and some SRB such as Desulfovibrio and Desulfosporosinus, were enriched from U-amended bentonite. The results obtained by XPS and XRD showed that U was present as U(VI) and as U(IV) species. Regarding U(VI), we have identified biogenic U(VI) phosphates, U(UO2)·(PO4)2, located in the inner part of the bacterial cell membranes in addition to U(VI)-adsorbed to clays such as montmorillonite. Biogenic U(IV) species as uraninite may be produced as result of bacterial enzymatic U(VI) reduction. These findings suggest that under electron donor-rich water-saturation conditions, bentonite microbial community can control U speciation, immobilizing it, and thus enhancing future DGR safety if container rupture and waste leakage occurs.
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Affiliation(s)
- Mar Morales-Hidalgo
- Faculty of Science, Department of Microbiology, University of Granada, Granada, Spain.
| | | | | | - Jesus J Ojeda
- Department of Chemical Engineering, Faculty of Science and Engineering, Swansea University, Swansea, United Kingdom
| | - Fadwa Jroundi
- Faculty of Science, Department of Microbiology, University of Granada, Granada, Spain
| | - Mohamed L Merroun
- Faculty of Science, Department of Microbiology, University of Granada, Granada, Spain
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Wei X, Chen H, Zhu F, Li J. Microbial community structure in an uranium-rich acid mine drainage site: implication for the biogeochemical release of uranium. Front Microbiol 2024; 15:1412599. [PMID: 38993490 PMCID: PMC11238263 DOI: 10.3389/fmicb.2024.1412599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 06/13/2024] [Indexed: 07/13/2024] Open
Abstract
The generation of acid mine drainage (AMD) characterized by high acidity and elevated levels of toxic metals primarily results from the oxidation and dissolution of sulfide minerals facilitated by microbial catalysis. Although there has been significant research on microbial diversity and community composition in AMD, as well as the relationship between microbes and heavy metals, there remains a gap in understanding the microbial community structure in uranium-enriched AMD sites. In this paper, water samples with varying levels of uranium pollution were collected from an abandoned stone coal mine in Jiangxi Province, China during summer and winter, respectively. Geochemical and high-throughput sequencing analyses were conducted to characterize spatiotemporal variations in bacterial diversity and community composition along pollution groups. The results indicated that uranium was predominantly concentrated in the AMD of new pits with strong acid production capacity, reaching a peak concentration of 9,370 μg/L. This was accompanied by elevated acidity and concentrations of iron and total phosphorus, which were identified as significant drivers shaping the composition of bacterial communities, rather than fluctuations in seasonal conditions. In an extremely polluted environment (pH < 3), bacterial diversity was lowest, with a predominant presence of acidophilic iron-oxidizing bacteria (such as Ferrovum), and a portion of acidophilic heterotrophic bacteria synergistically coexisting. As pollution levels decreased, the microbial community gradually evolved to cohabitation of various pH-neutral heterotrophic species, ultimately reverting back to background level. The pH was the dominant factor determining biogeochemical release of uranium in AMD. Acidophilic and uranium-tolerant bacteria, including Ferrovum, Leptospirillum, Acidiphilium, and Metallibacterium, were identified as playing key roles in this process through mechanisms such as enhancing acid production rate and facilitating organic matter biodegradation.
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Affiliation(s)
- Xinxiang Wei
- School of Water Resources and Environmental Engineering, East China University of Technology, Nanchang, Jiangxi, China
- Department of Hydraulic Engineering, Jiangxi Water Resource Institute, Nanchang, Jiangxi, China
| | - Hongliang Chen
- School of Water Resources and Environmental Engineering, East China University of Technology, Nanchang, Jiangxi, China
| | - Fangfang Zhu
- College of Nursing Health Sciences, Yunnan Open University, Kunming, Yunnan, China
| | - Jiang Li
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang, Jiangxi, China
- Teachers’ College, East China University of Technology, Nanchang, Jiangxi, China
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Wang Y, Long C, Yin L, Liu R, Liao Y, He G, Liu Z. Effects of simulated acid rain on hydrochemical factors and microbial community structure in red soil aquifers. RSC Adv 2024; 14:4482-4491. [PMID: 38312729 PMCID: PMC10835706 DOI: 10.1039/d3ra08820k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Accepted: 01/18/2024] [Indexed: 02/06/2024] Open
Abstract
Acid rain can lower the pH of groundwater and affect its hydrogeochemistry and microbial ecology. However, the effects of acid rain on the hydrogeochemistry and microbial ecology of red soil groundwater systems in southern China are poorly understood. Previous research had mainly investigated the sources and patterns of groundwater acidification, but not the microbial mechanisms that contribute to this process and their associations with hydrochemical factors. To address this knowledge gap, we conducted a soil column experiment to simulate the infiltration of acid rain through various filter materials (coarse, medium, and fine sand) and to examine the hydrochemical and microbial features of the infiltrate, which can reveal how simulated acid rain (pH 3.5-7.0) alters the hydrochemistry and microbial community composition in red soil aquifers. The results showed that the pH of the leachate decreased due to simulated acid rain, and that the leaching efficiency of nitrogen and metal ions was influenced by the particle size of the filter media. Illumina 16S rRNA gene sequencing revealed that the leachate was dominated by Proteobacteria, Patescibacteria, Actinobacteria, and Acidobacteria, with Proteobacteria accounting for 67.04-74.69% of the bacterial community and containing a high proportion of nitrifying and denitrifying bacteria. Additionally, several genera with heavy metal tolerance, such as Burkholderia-Caballeronia-Paraburkholderia, Delftia, Methylversatilis, Aquicella, and Ralstonia, were widely distributed in the leachate, indicating the strong adaptive capacity of the microbial population. A correlation analysis between the hydrochemical factors and the microbial community structure revealed that pH was the most influential factor, followed by NO2--N, Fe, Al, Cu, Mn, and others. These results indicate that acidification modifies the hydrochemical conditions of the aquifer, creating an environment that is unfavorable for microbial growth and survival. However, some microorganisms may acquire resistance genes to cope with environmental changes.
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Affiliation(s)
- Yian Wang
- School of Life Science, Jinggangshan University Ji'an Jiangxi China
| | - Chao Long
- School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology Ganzhou Jiangxi China
| | - Li Yin
- School of Life Science, Jinggangshan University Ji'an Jiangxi China
| | - Renlu Liu
- School of Life Science, Jinggangshan University Ji'an Jiangxi China
| | - Yonghui Liao
- School of Life Science, Jinggangshan University Ji'an Jiangxi China
| | - Genhe He
- School of Life Science, Jinggangshan University Ji'an Jiangxi China
| | - Zuwen Liu
- School of Life Science, Jinggangshan University Ji'an Jiangxi China
- School of Civil and Surveying & Mapping Engineering, Jiangxi University of Science and Technology Ganzhou Jiangxi China
- School of Hydraulic & Ecological Engineering, Nanchang Institute of Technology Nanchang China
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