Evidence map›Paper›PMID 12775761›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2003

Predicting gene expression levels from codon biases in alpha-proteobacterial genomes.

Samuel Karlin, Melanie J Barnett, Allan M Campbell, Robert F Fisher, Jan Mrazek

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

22 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
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  8. Predicting gene expression level from relative codon usage bias: an application to Escherichia coli genome.DNA research : an international journal for rapid publication of reports on genes and genomes · 2009
    Article
  9. Article
  10. Article
  11. Proteomic identification of tmRNA substrates.Proceedings of the National Academy of Sciences of the United States of America · 2007
    Article
  12. Article
  13. Article
  14. Distinguishing features of delta-proteobacterial genomes.Proceedings of the National Academy of Sciences of the United States of America · 2006
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Predicted highly expressed genes in archaeal genomes.Proceedings of the National Academy of Sciences of the United States of America · 2005
    Article
  20. Article
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

5 authors at 1 institution in 1 country.

Samuel KarlinDepartment of Mathematics, Stanford University, Stanford, CA 94305, USA. karlin@math.stanford.edu
Melanie J Barnett
Allan M Campbell
Robert F Fisher
Jan Mrazek
Stanford University · US

Funding

THEORY &APPLIED STUDIES IN EVOLUTIONARY GENETICSR01GM010452 · NIGMS · STANFORD UNIVERSITY · PI KARLIN, SAMUEL · 1985 to 2006
$2.1M
MOLECULAR SEQUENCE DATAR01HG000335 · NHGRI · STANFORD UNIVERSITY · PI KARLIN, SAMUEL · 1990 to 2001
$449k
NHGRI NIH HHS 5R0IHG00335.14NIGMS NIH HHS 5R0IGM10452-38
6 · The paper itself

Abstract

Predicted highly expressed (PHX) genes in five currently available high G+C complete alpha-proteobacterial genomes are analyzed. These include: the nitrogen-fixing plant symbionts Sinorhizobium meliloti (SINME) and Mesorhizobium loti (MESLO), the nonpathogenic aquatic bacterium Caulobacter crescentus (CAUCR), the plant pathogen Agrobacterium tumefaciens (AGRTU), and the mammalian pathogen Brucella melitensis (BRUME). Three of these genomes, SINME, AGRTU, and BRUME, contain multiple chromosomes or megaplasmids (>1 Mb length). PHX genes in these genomes are concentrated mainly in the major (largest) chromosome with few PHX genes found in the secondary chromosomes and megaplasmids. Tricarboxylic acid cycle and aerobic respiration genes are strongly PHX in all five genomes, whereas anaerobic pathways of glycolysis and fermentation are mostly not PHX. Only in MESLO (but not SINME) and BRUME are most glycolysis genes PHX. Many flagellar genes are PHX in MESLO and CAUCR, but mostly are not PHX in SINME and AGRTU. The nonmotile BRUME also carries many flagellar genes but these are generally not PHX and all but one are located in the second chromosome. CAUCR stands out among available prokaryotic genomes with 25 PHX TonB-dependent receptors. These are putatively involved in uptake of iron ions and other nonsoluble compounds.

Indexed as

Genome, BacterialAgrobacterium tumefaciensAlphaproteobacteriaBase CompositionBrucella melitensisCaulobacter crescentusCitric Acid CycleCodonDNA, BacterialEnergy MetabolismFlagellaGene ExpressionInactivation, MetabolicMultigene FamilyNitrogen FixationSinorhizobium melilotiCodonDNA, Bacterial

Identifiers

PMID12775761
PMCPMC165872
OpenAlexW1982680035

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.