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Copyright (c) 2025 Kevin Samuel Rentería-Ortiz, Hiram Medrano-Roldán, Gloria Abigail Martínez-Rodríguez, Perla Guadalupe Vázquez-Ortega, Juan Antonio Rojas-Contreras, Damián Reyes-Jáquez, David Enrique Zazueta-Alvarez
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The undersigned hereby assign all rights, included but not limited to copyright, for this manuscript to CMB Association upon its submission for consideration to publication on Cellular and Molecular Biology. The rights assigned include, but are not limited to, the sole and exclusive rights to license, sell, subsequently assign, derive, distribute, display and reproduce this manuscript, in whole or in part, in any format, electronic or otherwise, including those in existence at the time this agreement was signed. The authors hereby warrant that they have not granted or assigned, and shall not grant or assign, the aforementioned rights to any other person, firm, organization, or other entity. All rights are automatically restored to authors if this manuscript is not accepted for publication.Isolation and characterization of native strains from lithium-containing mining tailings
Corresponding Author(s) : David Enrique Zazueta-Alvarez
Cellular and Molecular Biology,
Vol. 71 No. 10: Issue 10
Abstract
Lithium-rich mining tailings create extreme and poorly explored environments that can serve as reservoirs for microorganisms with unique biotechnological potential. In this study, native microorganisms were isolated and molecularly characterized from the tailings of the Nochebuena mine, Zacatecas, Mexico. Six pure cultures were obtained using serial dilution and cross-streaking methods. Lithium tolerance was assessed through minimum inhibitory concentration (MIC) assays, revealing resistance levels between 5,000 and 20,000 ppm LiCl. Molecular characterization involved DNA extraction, amplification, purification, and restriction digestion with the HhaI enzyme, followed by sequencing. The isolates were identified as Stutzerimonas chloritidismutans, Microbacterium paraoxydans, Stenotrophomonas maltophilia, Bacillus cereus, and Bacillus ludwigii. Phylogenetic analysis was performed to resolve their evolutionary relationships. These findings highlight the untapped microbial diversity in lithium-rich mining residues and its promise for innovative applications in biohydrometallurgy.
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