Evidence map›Paper›PMID 23941329›Full record

ArticleBMC genomics2013

Global transcriptional response of Caulobacter crescentus to iron availability.

José F da Silva Neto, Rogério F Lourenço, Marilis V Marques

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

38 citing papers in PubMed, 65 citations in OpenAlex.

  1. TheJournal of bacteriology · 2026
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  3. A periplasmic zinc capture protein enhances the resistance ofProceedings of the National Academy of Sciences of the United States of America · 2025
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  4. ThebioRxiv : the preprint server for biology · 2025
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  6. A co-conserved gene pair supportsJournal of bacteriology · 2025
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  7. Article
  8. A co-conserved gene pair supportsbioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Transcriptomic Response of the Diazotrophic BacteriaInternational journal of molecular sciences · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Bacterial iron detoxification at the molecular level.The Journal of biological chemistry · 2020
    Review
  20. Iron Acquisition by Bacterial Pathogens: Beyond Tris-Catecholate Complexes.Chembiochem : a European journal of chemical biology · 2020
    Review
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

3 authors at 1 institution in 1 country.

José F da Silva NetoDepartamento de Microbiologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, Av Prof Lineu Prestes 1374, 05508-000 São Paulo, Brazil. jfsneto@usp.br
Rogério F Lourenço
Marilis V Marques
Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the alpha subclass of proteobacteria iron homeostasis is controlled by diverse iron responsive regulators. Caulobacter crescentus, an important freshwater α-proteobacterium, uses the ferric uptake repressor (Fur) for such purpose. However, the impact of the iron availability on the C. crescentus transcriptome and an overall perspective of the regulatory networks involved remain unknown.

resultsIn this work we report the identification of iron-responsive and Fur-regulated genes in C. crescentus using microarray-based global transcriptional analyses. We identified 42 genes that were strongly upregulated both by mutation of fur and by iron limitation condition. Among them, there are genes involved in iron uptake (four TonB-dependent receptor gene clusters, and feoAB), riboflavin biosynthesis and genes encoding hypothetical proteins. Most of these genes are associated with predicted Fur binding sites, implicating them as direct targets of Fur-mediated repression. These data were validated by β-galactosidase and EMSA assays for two operons encoding putative transporters. The role of Fur as a positive regulator is also evident, given that 27 genes were downregulated both by mutation of fur and under low-iron condition. As expected, this group includes many genes involved in energy metabolism, mostly iron-using enzymes. Surprisingly, included in this group are also TonB-dependent receptors genes and the genes fixK, fixT and ftrB encoding an oxygen signaling network required for growth during hypoxia. Bioinformatics analyses suggest that positive regulation by Fur is mainly indirect. In addition to the Fur modulon, iron limitation altered expression of 113 more genes, including induction of genes involved in Fe-S cluster assembly, oxidative stress and heat shock response, as well as repression of genes implicated in amino acid metabolism, chemotaxis and motility.

conclusionsUsing a global transcriptional approach, we determined the C. crescentus iron stimulon. Many but not all of iron responsive genes were directly or indirectly controlled by Fur. The iron limitation stimulon overlaps with other regulatory systems, such as the RpoH and FixK regulons. Altogether, our results showed that adaptation of C. crescentus to iron limitation not only involves increasing the transcription of iron-acquisition systems and decreasing the production of iron-using proteins, but also includes novel genes and regulatory mechanisms.

Indexed as

Gene Expression ProfilingBacterial ProteinsBase SequenceCaulobacter crescentusDose-Response Relationship, DrugIronMutationOligonucleotide Array Sequence AnalysisOperonRegulonRepressor ProteinsTranscription, GeneticBacterial Proteinsferric uptake regulating proteins, bacterialIronRepressor Proteins

Identifiers

PMID23941329
PMCPMC3751524
OpenAlexW2009174173

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.