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Metabolomic study of Chilean biomining bacteria Acidithiobacillus ferrooxidans strain Wenelen and Acidithiobacillus thiooxidans strain Licanantay
Indexado
WoS WOS:000313736700021
Scopus SCOPUS_ID:84872654536
DOI 10.1007/S11306-012-0443-3
Año 2013
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



In this study, we present the first metabolic profiles for two bioleaching bacteria using capillary electrophoresis coupled with mass spectrometry. The bacteria, Acidithiobacillus ferrooxidans strain Wenelen (DSM 16786) and Acidithiobacillus thiooxidans strain Licanantay (DSM 17318), were sampled at different growth phases and on different substrates: the former was grown with iron and sulfur, and the latter with sulfur and chalcopyrite. Metabolic profiles were scored from planktonic and sessile states. Spermidine was detected in intra- and extracellular samples for both strains, suggesting it has an important role in biofilm formation in the presence of solid substrate. The canonical pathway for spermidine synthesis seems absent as its upstream precursor, putrescine, was not present in samples. Glutathione, a catalytic activator of elemental sulfur, was identified as one of the most abundant metabolites in the intracellular space in A. thiooxidans strain Licanantay, confirming its participation in the sulfur oxidation pathway. Amino acid profiles varied according to the growth conditions and bioleaching species. Glutamic and aspartic acid were highly abundant in intra- and extracellular extracts. Both are constituents of the extracellular matrix, and have a probable role in cell detoxification. This novel metabolomic information validates previous knowledge from in silico metabolic reconstructions based on genomic sequences, and reveals important biomining functions such as biofilm formation, energy management and stress responses.

Revista



Revista ISSN
Metabolomics 1573-3882

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Disciplinas de Investigación



WOS
Endocrinology & Metabolism
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 MARTINEZ-BELLANGE, PATRICIO Hombre BioSigma SA - Chile
BioSigma S.A. - Chile
2 Galvez, Sebastian Hombre BioSigma SA - Chile
BioSigma S.A. - Chile
3 Ohtsuka, Norimasa Hombre BioSigma SA - Chile
BioSigma S.A. - Chile
4 BUDINICH-ABARCA, MARKO ANTONIO Hombre Universidad de Chile - Chile
5 Cortes, Maria-Paz Mujer Universidad de Chile - Chile
6 Serpell, Cristian Hombre Universidad de Chile - Chile
7 Nakahigashi, Kenji Hombre Keio Univ - Japón
Keio University - Japón
8 Hirayama, Akiyoshi Hombre Keio Univ - Japón
Keio University - Japón
9 Tomita, Masaru Hombre Keio Univ - Japón
Keio University - Japón
10 Soga, Tomoyoshi Hombre Keio Univ - Japón
Keio University - Japón
11 MARTINEZ-AGUILERA, SERVET Hombre Universidad de Chile - Chile
12 MAASS-SEPULVEDA, ALEJANDRO EDUARDO Hombre Universidad de Chile - Chile
13 PARADA-VALDECANTOS, PILAR Mujer BioSigma SA - Chile
BioSigma S.A. - Chile

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Origen de Citas Identificadas



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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 24.32 %
Citas No-identificadas: 75.68 %

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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 24.32 %
Citas No-identificadas: 75.68 %

Financiamiento



Fuente
BASAL-CMM
BioSigma 'S.A.'
FONDAP-CGR
BASAL-CMM Grants
Tsuruoka City
Yamagata Prefecture of Japan

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Agradecimientos



Agradecimiento
The authors would like to thank Dr. Masahiro Sugimoto for his bioinformatic support, and Mr. Kenichi Iida for his invaluable help. We also thank Asako Suzuki, Maki Ohishi, Hiromi Onuma, Ayako Momose and Chieko Kikuchi from the Institute for Advanced Biosciences, Keio University for metabolome analysis. We are grateful to Tsuruoka City and Yamagata Prefecture of Japan, for their financial and organizational support. This work was supported by BioSigma 'S.A.'. The authors thank the company for authorizing the submission of the manuscript for publication. This study was partially supported by FONDAP-CGR No. 15090007 and BASAL-CMM Grants.
Acknowledgments The authors would like to thank Dr. Masahiro Sugimoto for his bioinformatic support, and Mr. Kenichi Iida for his invaluable help. We also thank Asako Suzuki, Maki Ohishi, Hiromi Onuma, Ayako Momose and Chieko Kikuchi from the Institute for Advanced Biosciences, Keio University for metabolome analysis. We are grateful to Tsuruoka City and Yamagata Prefecture of Japan, for their financial and organizational support. This work was supported by Bio-Sigma ‘S.A.’. The authors thank the company for authorizing the submission of the manuscript for publication. This study was partially supported by FONDAP-CGR No. 15090007 and BASAL-CMM Grants.

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