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Metal resistance in acidophilic microorganisms and its significance for biotechnologies

Applied Microbiology and Biotechnology volume 98, pages 8133–8144 (2014)Cite this article

Abstract

Extremely acidophilic microorganisms have an optimal pH of <3 and are found in all three domains of life. As metals are more soluble at acid pH, acidophiles are often challenged by very high metal concentrations. Acidophiles are metal-tolerant by both intrinsic, passive mechanisms as well as active systems. Passive mechanisms include an internal positive membrane potential that creates a chemiosmotic gradient against which metal cations must move, as well as the formation of metal sulfate complexes reducing the concentration of the free metal ion. Active systems include efflux proteins that pump metals out of the cytoplasm and conversion of the metal to a less toxic form. Acidophiles are exploited in a number of biotechnologies including biomining for sulfide mineral dissolution, biosulfidogenesis to produce sulfide that can selectively precipitate metals from process streams, treatment of acid mine drainage, and bioremediation of acidic metal-contaminated milieux. This review describes how acidophilic microorganisms tolerate extremely high metal concentrations in biotechnological processes and identifies areas of future work that hold promise for improving the efficiency of these applications.

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Acknowledgments

MD would like to thank Cost Action CM0902 for funding research included in this review, and DH would like to thank Fondecyt 1130683.

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  1. Centre for Ecology and Evolution in Microbial Model Systems (EEMiS), Linnaeus University, Kalmar, Sweden

    Mark Dopson

  2. Center for Bioinformatics and Genome Biology, Fundacion Ciencia y Vida, Santiago and Depto. Ciencias Biologicas, Facultad de Ciencias Biologicas, Universidad Andres Bello, Santiago, Chile

    David S. Holmes

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Dopson, M., Holmes, D.S. Metal resistance in acidophilic microorganisms and its significance for biotechnologies. Appl Microbiol Biotechnol 98, 8133–8144 (2014). https://doi.org/10.1007/s00253-014-5982-2

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Keywords

  • Homeostasis
  • System biology
  • Biomining
  • Biooxidation
  • Metagenome
  • Database