Evidence map›Paper›PMID 15983137›Full record

ArticleNucleic acids research2005

Codon usage comparison of novel genes in clinical isolates of Haemophilus influenzae.

John Gladitz, Kai Shen, Patricia Antalis, Fen Ze Hu, J Christopher Post, Garth D Ehrlich

Abstract readComparative Study
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

6 authors.

John GladitzCenter for Genomic Sciences, Allegheny-Singer Research Institute Pittsburgh, PA, USA.
Kai Shen
Patricia Antalis
Fen Ze Hu
J Christopher Post
Garth D Ehrlich

Funding

MOLECULAR ANALYSIS OF PATHOGENS IN OTITIS MEDIA BY PCRR01DC002148 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI EHRLICH, GARTH D. · 1994 to 2017
$6.5M
NIDCD NIH HHS DC02148NIDCD NIH HHS R01 DC002148
6 · The paper itself

Abstract

A similarity statistic for codon usage was developed and used to compare novel gene sequences found in clinical isolates of Haemophilus influenzae with a reference set of 80 prokaryotic, eukaryotic and viral genomes. These analyses were performed to obtain an indication as to whether individual genes were Haemophilus-like in nature, or if they probably had more recently entered the H.influenzae gene pool via horizontal gene transfer from other species. The average and SD values were calculated for the similarity statistics from a study of the set of all genes in the H.influenzae Rd reference genome that encoded proteins of 100 amino acids or longer. Approximately 80% of Rd genes gave a statistic indicating that they were most like other Rd genes. Genes displaying codon usage statistics >1 SD above this range were either considered part of the highly expressed group of H.influenzae genes, or were considered of foreign origin. An alternative determinant for identifying genes of foreign origin was when the similarity statistics produced a value that was much closer to a non-H.influenzae reference organism than to any of the Haemophilus species contained in the reference set. Approximately 65% of the novel sequences identified in the H.influenzae clinical isolates displayed codon usages most similar to Haemophilus sp. The remaining novel sequences produced similarity statistics closer to one of the other reference genomes thereby suggesting that these sequences may have entered the H.influenzae gene pool more recently via horizontal transfer.

Indexed as

CodonGenes, BacterialBase SequenceData Interpretation, StatisticalDNA, BacterialGene ExpressionGene Transfer, HorizontalGenome, BacterialGenomicsHaemophilus influenzaeHumansPhylogenyCodonDNA, Bacterial

Identifiers

PMID15983137
PMCPMC1160521

What OpenQuestion holds

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Registered trials

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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.