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An Overview of the Environmental Impact Assessment of Mining Projects in Chile. Land, 11(12). https://doi.org/10.3390/land11122278 Romero, M. F., Gallego, D., Lechuga-Jiménez, A., Martínez, J. F., Barajas, H. R., Hayano-Kanashiro, C., Peimbert, M., Cruz-Ortega, R., Molina-Freaner, F. E., & Alcaraz, L. D. 2021. Metagenomics of mine tailing rhizospheric communities and its selection for plant establishment towards bioremediation. Microbiological Research, 247 (September 2020). https://doi.org/10.1016/j.micres.2021.126732 Sancho, F., Sebastián, V., Garrido-Allepuz, C., Lezcano, J. M., Acosta, Á., Garayar, M., & Delvasto, P. 2022. La metagenómica como técnica novedosa para el análisis de impactos ambientales por efluentes y el seguimiento en el tiempo de la rehabilitación del suelo en zonas mineras desde una perspectiva microbiológica integral. Revista Minería, 539 (Agosto), 8–27. https://revistamineria.com.pe/pageflipx/mineria/539/8/ Sari, E., Nugroho, A. P., Retnaningrum, E., & Prijambada, I. D. 2023. Literature Review and Experiment: Diversity of Bacteria in Forest, Revegetated Post-Mining Land, and Active Tin Mining with A Metagenomic Approach. Indonesian Journal of Science and Technology, 8(1), 19–48. https://doi.org/10.17509/ijost.v8i1.50737 Tuomisto, H. 2012. An updated consumer’s guide to evenness and related indices. Oikos, 121(8), 1203–1218. https://doi.org/10.1111/j.1600-0706.2011.19897.x Wang, Y., & Qian, P.-Y. 2009. Conservative Fragments in Bacterial 16S rRNA Genes and Primer Design for 16S Ribosomal DNA Amplicons in Metagenomic Studies. PLoS ONE, 4(10), e7401. https://doi.org/10.1371/journal.pone.0007401 Yuan, Q., Wang, P., Wang, C., Chen, J., Wang, X., & Liu, S. 2021. Indicator species and co-occurrence pattern of sediment bacterial community in relation to alkaline copper mine drainage contamination. Ecological Indicators, 120 (September 2020), 106884. https://doi.org/10.1016/j.ecolind.2020.106884 Offiong, N.-A., Edet, J., Shaibu, S., Akan, N., Atakpa, E., Sanganyado, E., Okop, I., Benson, N., & Okoh, A. 2023. Metagenomics : an emerging tool for the chemistry of environmental remediation. Frontiers in Environmental Chemistry, 4(May), 1052697. https:// doi.org/10.3389/fenvc.2023.1052697 Ouamba, A. J. K., Gagnon, M., LaPointe, G., Chouinard, P. Y., & Roy, D. 2022. Graduate Student Literature Review: Farm management practices: Potential microbial sources that determine the microbiota of raw bovine milk. Journal of Dairy Science, 105(9), 7276–7287. https://doi.org/10.3168/jds.2021-21758 R Core Team. 2019. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Rodríguez-Luna, D., Encina-Montoya, F., Alcalá, F. J., & Vela, N. 2022. An Overview of the Environmental Impact Assessment of Mining Projects in Chile. Land, 11(12). https://doi.org/10.3390/land11122278 Romero, M. F., Gallego, D., Lechuga-Jiménez, A., Martínez, J. F., Barajas, H. R., Hayano-Kanashiro, C., Peimbert, M., Cruz-Ortega, R., Molina-Freaner, F. E., & Alcaraz, L. D. 2021. Metagenomics of mine tailing rhizospheric communities and its selection for plant establishment towards bioremediation. Microbiological Research, 247 (September 2020). https://doi.org/10.1016/j.micres.2021.126732 Sancho, F., Sebastián, V., Garrido-Allepuz, C., Lezcano, J. M., Acosta, Á., Garayar, M., & Delvasto, P. 2022. La metagenómica como técnica novedosa para el análisis de impactos ambientales por efluentes y el seguimiento en el tiempo de la rehabilitación del suelo en zonas mineras desde una perspectiva microbiológica integral. Revista Minería, 539 (Agosto), 8–27. https:// revistamineria.com.pe/pageflipx/mineria/539/8/ Sari, E., Nugroho, A. P., Retnaningrum, E., & Prijambada, I. D. 2023. Literature Review and Experiment: Diversity of Bacteria in Forest, Revegetated Post-Mining Land, and Active Tin Mining with A Metagenomic Approach. Indonesian Journal of Science and Technology, 8(1), 19–48. https://doi.org/10.17509/ijost.v8i1.50737 Tuomisto, H. 2012. An updated consumer’s guide to evenness and related indices. Oikos, 121(8), 1203–1218. https://doi.org/10.1111/j.16000706.2011.19897.x Wang, Y., & Qian, P.-Y. 2009. Conservative Fragments in Bacterial 16S rRNA Genes and Primer Design for 16S Ribosomal DNA Amplicons in Metagenomic Studies. PLoS ONE, 4(10), e7401. https://doi.org/10.1371/ journal.pone.0007401 Yuan, Q., Wang, P., Wang, C., Chen, J., Wang, X., & Liu, S. 2021. Indicator species and co-occurrence pattern of sediment bacterial community in relation to alkaline copper mine drainage contamination. Ecological Indicators, 120 (September 2020), 106884. https:// doi.org/10.1016/j.ecolind.2020.106884
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