Genomic and metagenomic challenges and opportunities for bioleaching: a mini-review
Cargando...
Archivos
Fecha
2016-09
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
Elsevier Masson SAS
Nombre de Curso
Licencia CC
Atribution 4.0 International (CC BY 4.0)
Licencia CC
https://creativecommons.org/licenses/by/4.0/deed.es
Resumen
High-throughput genomic technologies are accelerating progress in understanding the diversity of microbial life in many environments. Here
we highlight advances in genomics and metagenomics of microorganisms from bioleaching heaps and related acidic mining environments.
Bioleaching heaps used for copper recovery provide significant opportunities to study the processes and mechanisms underlying microbial
successions and the influence of community composition on ecosystem functioning. Obtaining quantitative and process-level knowledge of these
dynamics is pivotal for understanding how microorganisms contribute to the solubilization of copper for industrial recovery. Advances in DNA
sequencing technology provide unprecedented opportunities to obtain information about the genomes of bioleaching microorganisms, allowing
predictive models of metabolic potential and ecosystem-level interactions to be constructed. These approaches are enabling predictive phe notyping of organisms many of which are recalcitrant to genetic approaches or are unculturable. This mini-review describes current bioleaching
genomic and metagenomic projects and addresses the use of genome information to: (i) build metabolic models; (ii) predict microbial in teractions; (iii) estimate genetic diversity; and (iv) study microbial evolution. Key challenges and perspectives of bioleaching genomics/met agenomics are addressed.
© 2016 The Author(s). Published by Elsevier Masson SAS on behalf of Institut Pasteur. This is an open access article under the CC BY-NC-ND
license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Notas
Indexación: Scopus.
Palabras clave
Bioleaching, Genomics, Metagenomics, Bioinformatics, Acidophile, Biomining
Citación
Research in Microbiology. Volume 167, Issue 7, Pages 529 - 538. 1 September 2016
DOI
10.1016/j.resmic.2016.06.007