Evidence map›Paper›PMID 14675496›Full record

ArticleBMC genomics2003

Metabolic reconstruction of sulfur assimilation in the extremophile Acidithiobacillus ferrooxidans based on genome analysis.

Jorge Valdés, Felipe Veloso, Eugenia Jedlicki, David Holmes

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
  2. Article
  3. Frontiers in microbiology · 2024
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  5. Transcriptional Responses ofFrontiers in microbiology · 2021
    Article
  6. Article
  7. Article
  8. Integration of Biological Networks forFrontiers in molecular biosciences · 2019
    Article
  9. Article
  10. Acidithiobacillus ferrooxidans and its potential application.Extremophiles : life under extreme conditions · 2018
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Jorge ValdésLaboratory of Bioinformatics and Genome Biology, University of Santiago (USACH), Santiago, Chile. joorge77@yahoo.com.mx
Felipe Veloso
Eugenia Jedlicki
David Holmes
Millennium Institute for Integrative Biology · CLUniversidad de Santiago de Chile · CLUniversity of Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcidithiobacillus ferrooxidans is a gamma-proteobacterium that lives at pH2 and obtains energy by the oxidation of sulfur and iron. It is used in the biomining industry for the recovery of metals and is one of the causative agents of acid mine drainage. Effective tools for the study of its genetics and physiology are not in widespread use and, despite considerable effort, an understanding of its unusual physiology remains at a rudimentary level. Nearly complete genome sequences of A. ferrooxidans are available from two public sources and we have exploited this information to reconstruct aspects of its sulfur metabolism.

resultsTwo candidate mechanisms for sulfate uptake from the environment were detected but both belong to large paralogous families of membrane transporters and their identification remains tentative. Prospective genes, pathways and regulatory mechanisms were identified that are likely to be involved in the assimilation of sulfate into cysteine and in the formation of Fe-S centers. Genes and regulatory networks were also uncovered that may link sulfur assimilation with nitrogen fixation, hydrogen utilization and sulfur reduction. Potential pathways were identified for sulfation of extracellular metabolites that may possibly be involved in cellular attachment to pyrite, sulfur and other solid substrates.

conclusionsA bioinformatic analysis of the genome sequence of A. ferrooxidans has revealed candidate genes, metabolic process and control mechanisms potentially involved in aspects of sulfur metabolism. Metabolic modeling provides an important preliminary step in understanding the unusual physiology of this extremophile especially given the severe difficulties involved in its genetic manipulation and biochemical analysis.

Indexed as

Genome, BacterialMembrane Transport ProteinsAdenosine PhosphosulfateAmino Acid SequenceBacterial ProteinsCarrier ProteinsGammaproteobacteriaIron-Sulfur ProteinsModels, BiologicalMolecular Sequence DataPhosphoadenosine PhosphosulfateSequence Homology, Amino AcidSulfate AdenylyltransferaseSulfatesSulfate TransportersSulfidesAdenosine PhosphosulfateBacterial ProteinsCarrier ProteinsIron-Sulfur ProteinsMembrane Transport ProteinsPhosphoadenosine PhosphosulfateSLC26A4 protein, humanSulfate AdenylyltransferaseSulfatesSulfate TransportersSulfidesSulfitesSulfur

Identifiers

PMID14675496
PMCPMC324559
OpenAlexW2095264477

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.