MINERÍA la mejor puerta de acceso al sector minero MINERÍA / AGOSTO 2022 / EDICIÓN 539 27 using microbial consortia. African Journal of Environmental Science and Technology, 2(2): 36. Greer, C.W. 2018. Soil contamination alters the willow root and rhizosphere metatranscriptome and the root-rhizosphere interactome. The ISME Journal, 12(3):869-884. Doi: 10.1038/ s41396-017-0018-4. Good I. 1953. The Population Frequencies of Species and the Estimation of Population Parameters. Biometrika 40:237. Handelsman, J. 2004. Metagenomics: Application of Genomics to Uncultured Microorganisms. Microbiology And Molecular Biology Reviews, 68(4), 669-685. Disponible en: http://dx.doi. org/10.1128/mmbr.68.4.669-685.2004. Harwani, D. 2012. The Great Plate Count Anomaly and the Unculturable Bacteria. International Journal of Scientific Research, 2: 350-351. Doi: 10.15373/22778179/SEP2013/122. Hugerth L. W. and Andersson A. F. 2017. Analysing microbial community composition through amplicon sequencing: From sampling to hypothesis testing. Doi: 10.3389/fmicb.2017.01561. Jansson JK, Hofmockel KS 2018. The soil microbiome-from metagenomics to metaphenomics. Curr Opin Microbiol. 2018 Jun; 43:162-168. Doi: 10.1016/j.mib.2018.01.013. Epub 2018 Feb 15. Erratum in: Curr Opin Microbiol. 2019 Jun; 49:104. PMID: 29454931. Jariyal, M., Jindal, V., Mandal, K., Gupta, V.K., y Singh, B. 2018. Bioremediation of organophosphorus pesticide phorate in soil by microbial consortia. Ecotoxicology and Environmental Safety, 159: 310-316. Doi: 10.1016/j. ecoenv.2018.04.063. Johnson, D. 2010. The Biogeochemistry of Biomining. Geomicrobiology: Molecular And Environmental Perspective, 401-426. Disponible en: Kruskal, J.B. 1964. Nonmetric multidimensional scaling: A numerical method. Psychometrika 29: 115–129. Doi: 10.1007/BF02289694. McMurdie, P., Holmes, S. 2013. phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data. PLoS ONE 8:e61217. Park, I., Tabelin, C.B., Jeon, S., Li, X., Seno, K., Ito, M., y Hiroyoshi, N. 2019. A review of recent strategies for acid mine drainage prevention and mine tailings recycling. Chemosphere, 219: 588-606. Doi: 10.1016/j.chemosphere.2018.11.053. Prieto-Barajas, C.M., Valencia-Cantero, E., y Santoyo, G. 2018. Microbial mat ecosystems: Structure types, functional diversity, and biotechnological application. Electronic Journal of Biotechnology, 31(C): 48-56. Doi: 10.1016/j. ejbt.2017.11.001. Qiusheng Y., Peifang W., Chao W., et al. 2021. Indicator species and co-occurrence pattern of sediment bacterial community in relation to alkaline copper mine drainage contamination. Ecological Indicators, 120, 106884. Doi: 10.1016/j.ecolind.2020.106884. R Core Team. 2019. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL Rasko L., Ruth A., Ewan B., et al. 2011. The European Nucleotide Archive. Nucleic Acids Research 39 (S1): D28–D31. Doi: 10.1093/ nar/gkq967. RodríguezGalán, M., BaenaMoreno, F.M., Vázquez, S., Arroyo-Torralvo, F., Vilches, L.F., y Zhang, Z. 2019. Remediation of acid mine drainage. Environmental Chemistry Letters, 17(4): 1529-1538. Doi: 10.1007/s10311-01900894-w. Sanders H. L., The S., Jun N. M. 1968. The american society of naturalists marine benthic diversity: A comparative study. Comparative and General Pharmacology, 102: 925. Simpson, E. 1949. Measurement of Diversity. Nature 163:688-688. Yergeau, E., Tremblay, J., Joly, S., Labrecque, M., Maynard, C., Pitre, F.E., St-Arnaud, M., y Zamora-Castro, J., Paniagua-Michel, J., y Lezama-Cervantes, C. 2007. A Novel Approach for Bioremediation of a Coastal Marine Wastewater Effluent Based on Artificial Microbial Mats. Marine Biotechnology, 10(2): 181-189. Doi: 10.1007/s10126-007-9050-0.