Physicochemical characteristics and microbial community analysis of a wetland system treating acid mine drainage

1. Xu, S. et al. Biogenic iron mineral formation and the fate of arsenic driven by its coupling with ferrous iron in acid mine drainage environment. J. Hazard. Mater. 485 (1-136940.11), 136940 (2024).

   Google Scholar 

2. Skousen, J. G., Ziemkiewicz, P. F. & Mcdonald, L. M. Acid mine drainage formation, control and treatment: approaches and strategies – ScienceDirect. Extractive Industries Soc. 6 (1), 241–249 (2019).

   Google Scholar 

3. Karagüzel, C. et al. Prediction of acid mine drainage potential of dump sites by using static tests: an application on lignite mine. Arab. J. Geosci. 20, 12517. https://doi.org/10.1007/s12517-020-06220-x (2020).

   Google Scholar 

4. Okeleji, O. A. & Ioannidou, V. G. Seasonal variation of iron removal in coal mine water discharge lagoons and constructed wetlands. Environ. Process. 12(2), 40710. https://doi.org/10.1007/s40710-025-00768-0 (2025).

   Google Scholar 

5. 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. Microbio 15, 1412599. https://doi.org/10.3389/fmicb.2024.1412599 (2024).

   Google Scholar 

6. Ighalo, J. O. et al. A review of treatment technologies for the mitigation of the toxic environmental effects of acid mine drainage (AMD).Transactions of the institution of chemical engineers. Process Saf. Environ. Prot. Part. B, 157–168 (2022).

7. Sekarjannah, F. A., Mansur, I. & Abidin, Z. Selection of organic materials potentially used to enhance bioremediation of acid mine drainage[J]. J. Degraded Min. Lands Manage. 3, 83–94 (2021).

   Google Scholar 

8. Pines Pozo, M. T. et al. Metal recovery from wastes: A review of recent advances in the use of bioelectrochemical systems. Appl. Sci. 15.3, 2076–3417 (2025).

   Google Scholar 

9. Li, X. et al. Suppressive effects of ferric-catecholate complexes on pyrite oxidation. Chemosphere 214, 70–78 (2019).

   Google Scholar 

10. Hennebel, T., Boon, N., Maes, S. & Lenz, M. Biotechnologies for critical Raw material recovery from primary and secondary sources: r&d priorities and future perspectives. N Biotechno. 32, 121–127 (2015).

    Google Scholar 

11. Fenwu, L., Xingxing, Q., Lixiang, Z. & Jian, Z. Migration and fate of acid mine drainage pollutants in calcareous soil. Int. J. environ. res. public. Health. 1759, 15–23 (2018).

    Google Scholar 

12. Sun, H. et al. Nutrient limitations on primary productivity and phosphorus removal by biological carbon pumps in dammed karst rivers: Implications for eutrophication control. J. Hydrol. 607, 127480. https://doi.org/10.1016/j.jhydrol.2022.127480 (2022).

    Google Scholar 

13. Zhong, J. et al. Biooxidation of arsenopyrite during the coalescence of iron and sulfur oxidizing microbial communities. Environ. Earth Sci. 84, 429–444 (2025).

    Google Scholar 

14. Tabelin, C. B. et al. Acid mine drainage formation and arsenic mobility under strongly acidic conditions: importance of soluble phases, iron oxyhydroxides/oxides and nature of oxidation layer on pyrite. J. Hazard. Mater. 399, 122844 (2020).

    Google Scholar 

15. Tabelin, C. B., Veerawattananun, S., Ito, M., Hiroyoshi, N. & Igarashi T.Pyrite oxidation in the presence of hematite and alumina: I. Batch leaching experiments and kinetic modeling calculations. Sci. Total Environ. 580, 687–698 (2017).

    Google Scholar 

16. Papirio, S., Villa-Gomez, D. K., Esposito, G., Pirozzi, F. & Lens, P. N. L. Acid mine drainage treatment in fluidized-bed bioreactors by sulfate-reducing bacteria: a critical review. Environ. Sci. Tech. 43, 2545–2580 (2013).

    Google Scholar 

17. Fan, N., Shu, Y., Xu, Z. & Zhao, D. Research progress of acid mine wastewater treatment bybioremediation method with sulfate reducingbacteriaas the core. Fresenius Environ. Bull. 7, 30–41 (2021).

    Google Scholar 

18. Pat-Espadas, A. et al. Review of constructed wetlands for acid mine drainage treatment. Water 11, 211–236 (2018).

    Google Scholar 

19. Igarashi, T. et al. The two-step neutralization ferrite-formation process for sustainable acid mine drainage treatment: removal of copper, zinc and arsenic, and the influence of coexisting ions on ferritization. Sci. Total Environ. 715, 1368771–13687712 (2020).

    Google Scholar 

20. Pocaan, J. et al. A mixed media approach using locally available neutralizing materials for the passive treatment of acid mine drainage. Heliyon 11(3), 41984. https://doi.org/10.1016/j.heliyon.2025.e41984 (2025).

    Google Scholar 

21. Jabbar, K. A. et al. Development of Artificial Geochemical Filter to Treat Acid Mine Drainage for Safe Disposal of Mine Water in Salt Range Portion of Indus Basin—A Lab to Pilot Scale Study. Sustainability 14(13), 7693. https://doi.org/10.3390/su14137693 (2022).

    Google Scholar 

22. Rapilly, M. et al. Impacts of acid mine drainage remediation in the largest gold mine of Latin America on natural water bodies in the Dominican Republic. Environ. Sci. Pollut R. 32.3, 1272–1292 (2025).

    Google Scholar 

23. Wibowo, Y. G., Wijaya, C., Halomoan, P., Yudhoyono, A. & Safri, M. Constructed wetlands for treatment of acid mine drainage: A review. Jurnal Presipitasi: Media Komunikasi dan. Pengembangan Teknik Lingkungan. 19 (2), 436–450 (2022).

    Google Scholar 

24. Pat-Espadas, A. M., Portales, L., Amabilis-Sosa, R. & Gómez, L. E. Review of Constructed Wetlands for Acid Mine Drainage Treatment. Water 10(11), 1685. https://doi.org/10.3390/w10111685 (2018).

    Google Scholar 

25. Soda, S. & Nguyen, T. T. Classification of Mine Drainages in Japan Based on Water Quality: Consideration for Constructed Wetland Treatments. Water 15(7), 1258. https://doi.org/10.3390/w15071258 (2023).

    Google Scholar 

26. Hu, X. et al. Continuous and effective treatment of heavy metal in acid mine drainage based on reducing barrier system: A case study in North China. J. Hazard. Mater. Adv. 8, 100152. https://doi.org/10.1016/j.hazadv.2022.100152 (2022).

    Google Scholar 

27. Charity, E. B. C. & Bolutife, M. J. Transmission of antibiotic-resistant bacteria through laptop keyboard among students of a tertiary institution in Lagos, Nigeria and the associated risk factors. Bio Res. 22(2), 4314. https://doi.org/10.4314/br.v22i2.5 (2024).

    Google Scholar 

28. Salihu, M. M., Musa, M. A., Ibrahim, A. G., Usman, J. & Salisu, A. S. Weight and structural considerations of potential green roof growth: media compositions for the Nigerian Building industry. Archit. Papers Fac. Archit. Des. STU. 29.2, 24–29 (2024).

    Google Scholar 

29. Huang, Y. et al. Key factors governing microbial community in extremely acidic mine drainage (ph < 3). Front. Microbiol. 12, 761579. https://doi.org/10.3389/fmicb.2021.761579 (2021).

    Google Scholar 

30. Khan, S. et al. Phytoremediation Prospects for Restoration of Contamination in the Natural Ecosystems. Water 15(8), 1498. https://doi.org/10.1007/s12517-020-06220-x (2023).

    Google Scholar 

31. Jin, D. C., Wang, X. M., Liu, L. L., Liang, J. R. & Zhou, L. X. A novel approach for treating acid mine drainage through forming schwertmannite driven by a mixed culture of Acidiphilium multivorum and Acidithiobacillus ferrooxidans prior to lime neutralization. J. Hazard. Mater. 400, 123108. https://doi.org/10.1016/j.jhazmat.2020.123108 (2020).

    Google Scholar 

32. Song, Y. W. et al. A novel approach for treating acid mine drainage by forming schwertmannite driven by a combination of biooxidation and electroreduction before lime neutralization. Water Res. 221, 118748. https://doi.org/10.1016/j.watres.2022.118748 (2022).

    Google Scholar 

33. Sun, R., Zhang, L., Wang, X., Ou, C. & Jiang, F. Elemental sulfur-driven sulfidogenic process under highly acidic conditions for sulfate-rich acid mine drainage treatment: performance and microbial community analysis. Water Res. 185, 116230. https://doi.org/10.1016/j.watres.2020.116230 (2020).

    Google Scholar 

34. Zeng, Q., Hao, T. W., Mackey, H. R., van Loosdrecht, M. C. M. & Chen, G. H. Recent advances in dissimilatory sulfate reduction: from metabolic study to application. Water Res. 150, 162–181 (2019).

    Google Scholar 

35. Niu, S., Fang, Q., Yu, J. & Wu, J. Heavy metals present in the soils from extremely large opencast iron mine Pit. Bull. Environ. Contam. Toxicol. 107, 984–989 (2021).

    Google Scholar 

36. Guo, J., Xuan, F. Q., Li, D. M., Wang, J. Q. & Zhang, B. C. A. Variations of Soil Chemical Properties and Microbial Community around the Acid Reservoir in the Mining Area. Sustainability 14, 10746. https://doi.org/10.3390/su141710746 (2022).

    Google Scholar 

37. Wu, F., Liu, J. & He, S. Effect of operating parameters of surface flow constructed wetland on nitrogen and phosphorus removal and sensory quality of river water. CET J. – Chem. Eng. Trans. 83, 313–330 (2021).

    Google Scholar 

38. Song, X., Ehde, P. M. & Weisner, S. E. B. Effects of water depth and phosphorusavailability on nitrogen removal in agricultural wetlands. Water 11, 2626. https://doi.org/10.3390/w11122626 (2019).

    Google Scholar 

39. Patyal, V., Jaspal, D. & Khare, K. Performance enhancement of constructed wetlands for wastewater remediation by modifications and integration of technologies: a review. Environ. Prog Sustain. Energy 42, 13951. https://doi.org/10.1002/ep.13951 (2023).

    Google Scholar 

40. Shelef, O., Golan-Goldhirsh, A., Gendler, T. & Rachmilevitch, S. Physiological parameters of plants as indicators of water quality in a constructed wetland. Environ. Sci. Pollution Res. 18, 1234–1242 (2011).

    Google Scholar 

41. Yang, Y., Kim, J., Chung, J. O., Roh, J. H. & Hong, Y. D. Variations in the composition of tea leaves and soil microbial community. Biol. Fert Soils. 58, 167–179 (2022).

    Google Scholar 

42. Voelkner, A., Holthusen, D. & Horn, R. Determination of soil dispersion caused by anaerobic digestates: interferences of pH and soil charge with regard to soil texture and water content. J. SOIL. SEDIMENT. 15, 1491–1499 (2015).

    Google Scholar 

43. Pansu, M. & Gautheyrou, J. Handbook of soil analysis: mineralogical, organic and inorganic methods. Int. J. Cancer, (2006).

44. Tessier, A., Campbell, P. G. C. & Bisson, M. Sequential extraction procedure for the speciation of particulate trace metals. Anal. Chem. 51, 844–851 (1979).

    Google Scholar 

45. Muyzer, G., Dewaal, E. C. & Uitterlinden, A. G. Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA. Appl. Environ. Microbiol. 59, 695–700 (1993).

    Google Scholar 

46. Daghio, M. et al. Anodes stimulate anaerobic toluene degradation via sulfur cycling in marine sediments. Appl. Environ. Microbiol. 23, 297–307 (2015).

    Google Scholar 

47. Ighalo, J. O. et al. A review of treatment technologies for the mitigation of the toxic environmental effects of acid mine drainage (AMD). Process. Saf. Environ. 157, 37–58 (2022).

    Google Scholar 

48. Christel, S., Yu, C., Wu, X., Josefsson, S. & Dopson, M. Comparison of boreal acid sulfate sediment microbial communities in oxidative and reductive environments. Res. Microbiol. 170 (6–7), 288–295 (2019).

    Google Scholar 

49. Oksana, C., Peter, K., Naomi, S. W., Gerhard, S. & Kay K.Microbial nitrogen transformation in constructed wetlands treating contaminated groundwater. Environ. SciPollution Res. https://doi.org/10.1007/s11356-014-3575-3 (2015).

    Google Scholar 

50. Mohamed, A., El-Shatoury, S., Aboulfotoh, A., El-Rahem, K. A. A. & Shahawy, A. E. Synergistic effects (adsorption and biodegradation) of streptomyces hydrogenans immobilization on nano-reed biochar for further application in upflow anaerobic sludge blanket. RSC Adv. 14, 19. https://doi.org/10.1039/D4RA02864C (2024).

    Google Scholar 

51. Kartal, L., En, A. & Timur, S. The removal of heavy metals from refinery effluents by sulfide precipitation. Acta Montanist. Slovaca. 28 (1), 214–231 (2023).

    Google Scholar 

52. Gibert, O., Pablo, J. D., José, L. C. & Ayora, C. Municipal compost-based mixture for acid mine drainage bioremediation: metal retention mechanisms. Appl. Geochem. 20 (9), 1648–1657 (2005).

    Google Scholar 

53. Wang, E. et al. Low carbon loss from Long-Term Manure-Applied soil during abrupt warming is realized through soil and Microbiome interplay. Environ. Sci. Technol. 58 (22), 9658–9668 (2024).

    Google Scholar 

54. Zhang, W., Zhang, I. & Deng, J. Comparison of retention and output of sulfur in limestone soil and yellow soil and their responses to acid deposition in a small karst catchment of Guizhou Province, Southwest China. Environ. Sci. Pollut R 28, 60993–61007 (2021).

    Google Scholar 

55. Shamshuddin, J., Muhrizal, S., Fauziah, I. & Husni, M. H. A. Effects of adding organic materials to an acid sulfate soil on the growth of cocoa (Theobroma Cacao L.) seedlings. Sci. Total Environ. 323 (1/3), 33–45 (2004).

    Google Scholar 

56. Fu, Q. et al. How does triclocarban affect sulfur transformation in anaerobic Systems?[J]. Environ. Sci. Technol. 58 (40), 959–969 (2024).

    Google Scholar 

57. Pantoja, L. & Garelick, H. A critical review of the quantification, analysis and detection of radionuclides in the environment using diffusive gradients in thin films (DGT): advances and perspectives. Pure Appl. Chem. 96 (7), 2023–0809 (2024).

    Google Scholar 

58. Liu, J., Wang, H., Liu, R., Wang, S. & Liu, Y. Sequential Spectral-Spatial feature Convolution network with Self-Attention for remote sensing hyperspectral image classification. IEEE T Geosci. Remote. 63, 1–15 (2025).

    Google Scholar 

59. Li, Y. F., Yang, Y. F., Wang, Y. Y., Liu, W. J. & Zhang, P. J. Characteristics of soil iron forms in wetlands with hvarious restoration ages around the Caizi lake, Anhui Province. Acta Sci. Circum. 35 (10), 3234–3241 (2015).

    Google Scholar 

60. Dai, W. et al. Structural and property analysis of different components in coal liquefaction residue raffinate based on density separation. Chem. Eng. Res. Des. 214, 144–153 (2025).

    Google Scholar 

61. Martinez, C. E. & Motto, H. L. Solubility of lead, zinc and copper added to mineral soils. Environ. Pollut. 107 (1), 153–158 (2000).

    Google Scholar 

62. Liu, X. L. et al. Long-term effects of Biochar addition and straw return on N 2 O fluxes and the related functional gene abundances under wheat-maize rotation system in the North China plain. Appl. Soil. Ecol. 135, 44–55 (2019).

    Google Scholar 

63. Liu, C., Liu, W. S., Ent, A., Morel, J. L. & Qiu, R. L. Simultaneous hyperaccumulation of rare Earth elements, manganese and aluminum in phytolacca Americana in response to soil properties. Chemosphere 282, 1310961–1310969 (2021).

    Google Scholar 

64. Stumn, M. Aquatic chemistry[M] (Academic Internet, 2007).

65. Sirous, S. & Mahboub, S. The status of chemical forms of iron and manganese in various orders of calcareous soils and their relationship with some physicochemical and mineralogical properties. Commun. Soil. Sci. Plan. 15, 2054–2068 (2020).

    Google Scholar 

66. Ali, Q. et al. Self-assembled crown ether (15cr5) with alkaline earth metals to stimulate nonlinear optical properties: the comprehensive study by silico technique. Comput. Theor. Chem. 1236, 114611. https://doi.org/10.1016/j.comptc.2024.114611 (2024).

    Google Scholar 

67. Zhang, Y. L. et al. Treating synthetic mine leaching wastewater by sulfate-reducingbacteria with sugarcane Bagasse as carbon source. Chin. J. Environ. Eng. 10 (5), 2355–2360 (2016).

    Google Scholar 

68. Wu, S. C., Luo, Y. M., Cheung, K. C. & Wong, M. H. Influence of bacteria on Pb and Zn speciation, mobility and bioavailability in soil: A laboratory study. Environ. Pollut. 144 (3), 765–773 (2006).

    Google Scholar 

69. Brallier, S., Harrison, R. B., Henry, C. L. & Xue, D. S. Liming effects on availability of Cd, Cu, Ni and Zn in a soil amended with sewage sludge 16 years previously[J]. Water Air Soil. Pollut. 86, 195–206 (1996).

    Google Scholar 

70. Lukovic, J. et al. Quantitative assessment of effects of cadmium on the histological structure of Poplar and Willow Leaves[J]. Water Air Soil. Pollution. 223, 2979–2993 (2012).

    Google Scholar 

71. Zhang, X. et al. Multi-stage hybrid subsurface flow constructed wetlands for treating piggery and dairy wastewater in cold climate. Environ. Technol. 38 (1–4), 183–191 (2016).

    Google Scholar 

72. Kraková, L. et al. Investigation of bacterial and archaeal communities: novel protocols using modern sequencing by illumina miseq and traditional DGGE-cloning. Extrem Life Extrem Cond. 20, 795–808 (2016).

    Google Scholar 

73. Zhong, F. et al. Bacterial community analysis by PCR-DGGE and 454-pyrosequencing of horizontal subsurface flow constructed wetlands with front aeration. Appl. Microbiol. Biotechnol. 99 (3), 1499–1512 (2015).

    Google Scholar 

74. Retka, J. et al. The Use of Mining Waste Materials for the Treatment ofA cid and Alkaline Mine Wastewater. Minerals. 10(12), 1061 (2020). https://doi.org/10.3390/min10121061

75. Di, L., Li, Y., Nie, L., Wang, S. & Kong, F. Influence of plant radial oxygen loss in constructed wetland combined with microbial fuel cell on nitrobenzene removal from aqueous solution. J. Hazard Mater. 394, 122542 (2020). https://doi.org/10.1016/j.jhazmat.2020.122542

76. Wang, Q. et al. Sulfate removal performance and co-occurrence patterns of microbial community in constructed wetlands treating saline wastewater. J. Water Process Eng. 43, 102266: 10.1016/j.jwpe.2021.102266 (2021).

77. Villegas-Plazas, M., Sanabria, J. & Junca, H. A composite taxonomical and functional framework of microbiomes under acid mine drainage bioremediation systems. J. Environ. Manage. 251, 109581. https://doi.org/10.1016/j.jenvman.2019.109581 (2019).

    Google Scholar 

78. Aoyagi, T. et al. Hydraulic retention time and pH affect the performance and microbial communities of passive bioreactors for treatment of acid mine drainage. AMB Express 7, 42. https://doi.org/10.1186/s13568-017-0440-z (2017).

    Google Scholar 

79. Cho, S. L. et al. Lactococcus Chungangensis sp. nov., a lactic Acidbacterium isolated Fom activated sludge foam. Int. Jounal SystematicEvolutionary Microbiol. 58 (8), 1844–1849 (2008).

    Google Scholar 

80. Daims, H., Lücker, S. & Wagner, M. A new perspective on microbes formerly known as nitrite-oxidizing bacteria. Trends Microbiol. 24, 699–712 (2016).

    Google Scholar 

81. Juottonen, H. Disentangling the effects of methanogen community and environment on peatland greenhouse gas production by a reciprocal transplant experiment. Funct. Ecol. 34 (6), 1268–1279 (2020).

    Google Scholar 

82. Thongbunrod, N. & Chaiprasert, P. Efficient methane production from agro-industrial residues using anaerobic fungal-rich consortia. World J. Microb. Biot. 40 (8), 50–57 (2024).

    Google Scholar 

83. Qiu, M. H., Zhang, R. F., Xue, S. S. & Shen, Q. R. Application of bio-organic fertilizer can control fusarium wilt of cucumber plants by regulating microbial community of rhizosphere soil. BIOL. FERT SOILS. 48 (7), 807–816 (2012).

    Google Scholar 

84. Lena, S., Ekberg, A., Mastepanov, M. & Torben, R. C. The effect of vascular plants on carbon turnover and methane emissions from a tundra wetland. Global Change Biol. 9 (8), 1185–1192 (2010).

    Google Scholar 

85. Vinson, D. S. et al. Microbial methane from in situ biodegradation of coal and shale: A review and Reevaluation of hydrogen and carbon isotope signatures. Chem. Geol. 453, 128–145 (2017).

    Google Scholar 

86. Bao, J. et al. Nature AND nurture: enabling formate-dependent growth in methanosarcina acetivorans. FEBS J. 292, 2251–2271 (2025).

    Google Scholar 

87. Wang, C. et al. An additive effect of elevated atmospheric CO 2 and rising temperature on methane emissions related to methanogenic community in rice paddies. Agr Ecosyst. Environ. 257, 165–174 (2018).

    Google Scholar 

88. Kong, X., Chen, J. & Zhang, Z. Y. When polyethylene terephthalate microplastics Meet perfluorooctane sulfonate in thermophilic biogas upgrading system: their effect on methanogenesis. J. Hazard. Mater. 466 (15), 1336261–13362610 (2024).

    Google Scholar 

89. Oladele, P., Ngo, J., Chang, T. & Johnson, T. A. Temporal dynamics of fecal microbiota community succession in broiler chickens, calves, and piglets under aerobic exposure. Microbiol. Spectr. 12 (6), 04084–04023. https://doi.org/10.1128/spectrum.04084-23 (2024).

    Google Scholar 

90. Quiros, C., Herrero, M., Garcia, L. A. & Diaz, M. Application of flow cytometry to segregated kinetic modeling based on the physiological States of microorganisms. Appl. Environ. Microb. 73 (12), 3993–4000 (2007).

    Google Scholar 

91. Silva, C. C. et al. Investigation of bacterial diversity in membrane bioreactor and conventional activated sludge processes from petroleum refineries using phylogenetic and statistical approaches. J. Microb. Biot. 20 (3), 447–459 (2010).

    Google Scholar 

92. Zhang, Z., Li, J., Ren, Z., Li, H. & Zhang, X. Carbothermal synthesis of sulfurized nano zero-valent iron from sulfate-reducing bacteria biomass for mercury removal: The first application of biomass sulfur source. Sci. Total Environ. 931, 172846. https://doi.org/10.1016/j.jece.2019.103537 (2024).

    Google Scholar 

93. Izadi, P. & Schrder, U. What is the Role of Individual Species within Bidirectional Electroactive Microbial Biofilms: A Case Study on Desulfarculus baarsii and Desulfurivibrio alkaliphilus[J]. Chem. Electro Chem. 9, 2. https://doi.org/10.1002/celc.202101116 (2022).

    Google Scholar 

94. Ahmed, M., Saup, C. M., Wilkins, M. J. & Lin, L. S. Continuous Ferric Iron-dosed Anaerobic Wastewater Treatment: Treatment Performance, Sludge Characteristics, and Microbial Composition. J. Environ Chem. Engineer 8, 103537. https://doi.org/10.1016/j.jece.2019.103537 (2019).

    Google Scholar 

95. Petrova, D., Koopman, S. J., Ballester, J. & Rodo, X. Improving the long-lead predictability of El Nio using a novel forecasting scheme based on a dynamic components model. Clim. Dynam. 48 (3–4), 1–28 (2017).

    Google Scholar 

96. Wang, Y. Peracetic acid (PAA)-based pretreatment effectively improves medium-chain fatty acids (MCFAs) production from sewage sludge. Environ. Sci. Ecotechnology 20, 100355. https://doi.org/10.1016/j.ese.2023.100355 (2024).

    Google Scholar 

97. Gilberto et al. Methane production and conductive materials: a critical review. Environ. Sci. Technol. 52 (18), 10241–10253 (2018).

    Google Scholar 

98. Maisch, M. et al. Contribution of microaerophilic Iron(Ⅱ)-Oxidizers to Iron(Ⅲ) mineral formation. Environ. Sci. Technol. 53 (14), 8197–8204 (2019).

    Google Scholar 

99. Bloomfield, C. J. The oxidation of iron sulphides in soils in relation to the formation of acid sulphate soils, and of ochre deposits in field drains. Eur. J. Soil. Sci. 23 (1), 1–16 (2006).

    Google Scholar 

100. Woodward, K. B. & Hofstra, D. Rhizosphere metabolism and its effect on phosphorus pools in the root zone of a submerged macrophyte, Isoetes kirkii. Sci. Total Environ. 809, 151087. https://doi.org/10.1016/j.scitotenv.2021.151087 (2022).

     Google Scholar 

101. Oko, B. J., Tao, Y. & Stuckey, D. C. Dynamics of two methanogenic microbiomes incubated in polycyclic aromatic hydrocarbons, naphthenic acids, and oil field produced water. Biotechnol. Biofuels 10(1), 123. https://doi.org/10.1186/s13068-017-0812-2 (2017).

     Google Scholar 

102. Forget, P. The bacterial nitrate reductases. Solubilization, purification and properties of the enzyme A of Escherichia coli K 12. Eur. J. Biochem. 42 (2), 325–332 (2010).

     Google Scholar 

103. Snoeyenbos-West, O. L., Nevin, K. P., Anderson, R. T. & Lovley, D. R. Enrichment of geobacter species in response to stimulation of fe(iii) reduction in sandy aquifer sediments. Micro Ecol. 39 (2), 153–167 (2000).

     Google Scholar 

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