Evidence map›Paper›PMID 22975721›Full record

ArticleGenome biology and evolution2012

Transcriptomic identification of iron-regulated and iron-independent gene copies within the heavily duplicated Trichomonas vaginalis genome.

Lenka Horváthová, Lucie Šafaríková, Marek Basler, Ivan Hrdy, Neritza B Campo, Jyh-Wei Shin, Kuo-Yang Huang, Po-Jung Huang, Rose Lin, Petrus Tang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Adenine DNA methylation, 3D genome organization, and gene expression in the parasiteProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  9. The effect of iron onParasitology · 2020
    Article
  10. Article
  11. Article
  12. Fe-S cluster assembly in the supergroup Excavata.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2018
    Review
  13. Dynamic secretome ofMolecular & cellular proteomics : MCP · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Late Mitochondrial Acquisition, Really?Genome biology and evolution · 2016
    Article
  19. Review
  20. 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

11 authors at 4 institutions in 3 countries.

Lenka HorváthováDepartment of Parasitology, Charles University in Prague, Prague 2, Czech Republic.
Lucie Šafaríková
Marek Basler
Ivan Hrdy
Neritza B Campo
Jyh-Wei Shin
Kuo-Yang Huang
Po-Jung Huang
Rose Lin
Petrus Tang
Jan Tachezy
Charles University · CZChang Gung University · TWHarvard University · USNational Cheng Kung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene duplication is an important evolutionary mechanism and no eukaryote has more duplicated gene families than the parasitic protist Trichomonas vaginalis. Iron is an essential nutrient for Trichomonas and plays a pivotal role in the establishment of infection, proliferation, and virulence. To gain insight into the role of iron in T. vaginalis gene expression and genome evolution, we screened iron-regulated genes using an oligonucleotide microarray for T. vaginalis and by comparative EST (expressed sequence tag) sequencing of cDNA libraries derived from trichomonads cultivated under iron-rich (+Fe) and iron-restricted (-Fe) conditions. Among 19,000 ESTs from both libraries, we identified 336 iron-regulated genes, of which 165 were upregulated under +Fe conditions and 171 under -Fe conditions. The microarray analysis revealed that 195 of 4,950 unique genes were differentially expressed. Of these, 117 genes were upregulated under +Fe conditions and 78 were upregulated under -Fe conditions. The results of both methods were congruent concerning the regulatory trends and the representation of gene categories. Under +Fe conditions, the expression of proteins involved in carbohydrate metabolism, particularly in the energy metabolism of hydrogenosomes, and in methionine catabolism was increased. The iron-sulfur cluster assembly machinery and certain cysteine proteases are of particular importance among the proteins upregulated under -Fe conditions. A unique feature of the T. vaginalis genome is the retention during evolution of multiple paralogous copies for a majority of all genes. Although the origins and reasons for this gene expansion remain unclear, the retention of multiple gene copies could provide an opportunity to evolve differential expression during growth in variable environmental conditions. For genes whose expression was affected by iron, we found that iron influenced the expression of only some of the paralogous copies, whereas the expression of the other paralogs was iron independent. This finding indicates a very stringent regulation of the differentially expressed paralogous genes in response to changes in the availability of exogenous nutrients and provides insight into the evolutionary rationale underlying massive paralog retention in the Trichomonas genome.

Indexed as

Gene Expression RegulationGenes, ProtozoanTranscriptomeCysteine ProteasesEvolution, MolecularExpressed Sequence TagsGene DosageGene DuplicationGene LibraryGenome, ProtozoanGlycolysisIronIron-Sulfur ProteinsOligonucleotide Array Sequence AnalysisTrichomonas vaginalisCysteine ProteasesIronIron-Sulfur Proteins

Identifiers

PMID22975721
PMCPMC3490414
OpenAlexW2098410937

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LicenceCC BY-NC
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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.