Characterization of a Native Microbial Consortium from Mining Tailings of the Arequipa Region and its potential application in Biolixiviation | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Characterization of a Native Microbial Consortium from Mining Tailings of the Arequipa Region and its potential application in Biolixiviation Daniela V. Arequipa-Loayza, Jorge H. Valdes, Antonio M. Lazarte-Rivera This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4462389/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 3 You are reading this latest preprint version Abstract This study addresses the issue of mining environmental liabilities in the southeastern region of Arequipa, Peru, specifically in Yarabamba, pristine areas for molecular characterization studies through metagenomics, where the microbial consortia present in mining tailings were determined, exploring their diversity and biolyxative capacity. In the studied region, treatments with native and adapted microbial consortia were implemented, using seawater in the latter. Over 14 days, analyses of cell count, pH, and oxidation-reduction potential (ORP) were performed, showing an increase in microbial biomass and changes in the medium conditions, indicating a positive impact of the microorganisms on the sustainable recovery of copper. Atomic absorption analysis of the copper content revealed a significant increase at the end of the treatments, reaching 4.42% for the native microbial consortium (NMC) and 4.61% for the adapted microbial consortium (AMC), compared to the initial sample's 2.19%. The final results revealed significant species diversity, with Cutibacterium namnetense, Staphylococcus caprae , and Pelomonas aquatica predominating. This would indicate a positive impact of microbial consortia on sustainable copper recovery, and the microbial diversity suggests that the presence of the identified species could correspond to a signal of natural recovery of the environment, through a possible ecological succession over time. This would be an adaptation to address associated environmental challenges, and it would also highlight the importance of long-term strategies in the bioremediation of affected mining areas. Mine tailings microbial consortium bioleaching metagenomics copper seawater Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editor assigned by journal 25 May, 2024 Submission checks completed at journal 24 May, 2024 First submitted to journal 22 May, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4462389","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":306723521,"identity":"26713940-a897-4d20-a7d8-d77f570502df","order_by":0,"name":"Daniela V. 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