The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Acidithiobacillus ferrooxidans metabolism: from genome sequence to industrial applications
Open accessAbstract
Background: Acidithiobacillus ferrooxidans is a major participant in consortia of microorganisms used for the industrial recovery of copper (bioleaching or biomining). It is a chemolithoautrophic, γ-proteobacterium using energy from the oxidation of iron- and sulfur-containing minerals for growth. It thrives at extremely low pH (pH 1–2) and fixes both carbon and nitrogen from the atmosphere. It solubilizes copper and other metals from rocks and plays an important role in nutrient and metal biogeochemical cycling in acid environments. The lack of a well-developed system for genetic manipulation has prevented thorough exploration of its physiology. Also, confusion has been caused by prior metabolic models constructed based upon the examination of multiple, and sometimes distantly related, strains of the microorganism. Results: The genome of the type strain A. ferrooxidans ATCC 23270 was sequenced and annotated to identify general features and provide a framework for in silico metabolic reconstruction. Earlier models of iron and sulfur oxidation, biofilm formation, quorum sensing, inorganic ion uptake, and amino acid metabolism are confirmed and extended. Initial models are presented for central carbon metabolism, anaerobic metabolism (including sulfur reduction, hydrogen metabolism and nitrogen fixation), stress responses, DNA repair, and metal and toxic compound fluxes. Conclusion: Bioinformatics analysis provides a valuable platform for gene discovery and functional prediction that helps explain the activity of A. ferrooxidans in industrial bioleaching and its role as a primary producer in acidic environments. An analysis of the genome of the type strain provides a coherent view of its gene content and metabolic potential.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Wu, M., Sun, L. V., Vamathevan, J., Riegler, M., Deboy, R., Brownlie, J. C., McGraw, E. A., Martin, W., Esser, C., Ahmadinejad, N., et al. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020069 · Cited by 851 · cited 1×
“The genome was sequenced and assembled using the whole genome shotgun method as previously described [135-137].”
MethodSelf-citationLife in acid: pH homeostasis in acidophiles
Baker-Austin, C., & Dopson, M. (2007) · Trends in Microbiology · doi:10.1016/j.tim.2007.02.005 · Cited by 659
Anaerobic Growth of Thiobacillus ferrooxidans
Pronk, J. T., de Bruyn, J. C., Bos, P., & Kuenen, J. G. (1992) · Applied and Environmental Microbiology · doi:10.1128/aem.58.7.2227-2230.1992 · Cited by 190
Wood, A. P., Aurikko, J. P., & Kelly, D. P. (2004) · FEMS Microbiology Reviews · doi:10.1016/j.femsre.2003.12.001 · Cited by 177
Straub, K. L., Rainey, F. A., & Widdel, F. (1999) · INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY · doi:10.1099/00207713-49-2-729 · Cited by 140
Cited by
Extracellular electron transfer mechanisms between microorganisms and minerals
Shi, L., Dong, H., Reguera, G., Beyenal, H., Lu, A., Liu, J., Yu, H.-Q., & Fredrickson, J. K. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.93 · Cited by 1,915
Molecular aspects of bacterial pH sensing and homeostasis
Krulwich, T. A., Sachs, G., & Padan, E. (2011) · Nature Reviews Microbiology · doi:10.1038/nrmicro2549 · Cited by 1,042
Mineral weathering by bacteria: ecology, actors and mechanisms
Uroz, S., Calvaruso, C., Turpault, M.-P., & Frey-Klett, P. (2009) · Trends in Microbiology · doi:10.1016/j.tim.2009.05.004 · Cited by 707
The iron-oxidizing proteobacteria
Hedrich, S., Schlömann, M., & Johnson, D. B. (2011) · Microbiology · doi:10.1099/mic.0.045344-0 · Cited by 616
Quatrini, R., Appia-Ayme, C., Denis, Y., Jedlicki, E., Holmes, D. S., & Bonnefoy, V. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-394 · Cited by 332
Self-citation
Metadata
- Authors
- Valdés, J., Pedroso, I., Quatrini, R., Dodson, R. J., Tettelin, H., Blake, R., Eisen, J. A., & Holmes, D. S.
- Venue
- BMC Genomics
- Published
- 2008-12
- Volume
- 9
- Issue
- 1
- Pages
- 597-597
- ISSN
- 1471-2164 (ISSN-L)
- OpenAlex
- W2063022418
- Cited by
- 609
- References
- 5
- FWCI
- 11.72
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Acidithiobacillus ferrooxidans metabolism: from genome sequence to industrial applications. https://app.cochat.ai/papers/10.1186/1471-2164-9-597
- The paper
- Valdés, J., Pedroso, I., Quatrini, R., Dodson, R. J., Tettelin, H., Blake, R., Eisen, J. A., & Holmes, D. S. (2008). Acidithiobacillus ferrooxidans metabolism: from genome sequence to industrial applications. BMC Genomics. https://doi.org/10.1186/1471-2164-9-597
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.