Evidence map›Paper›PMID 9190805›Full record

ArticleJournal of bacteriology1997

Compositional biases of bacterial genomes and evolutionary implications.

S Karlin, J Mrázek, A M Campbell

Open access · greenAbstract read
In one paragraph

Article in Journal of bacteriology, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 189 papers.

0numbers the graph read from it
0cells of the map it votes in
189citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

189 citing papers in PubMed, 445 citations in OpenAlex.

  1. Article
  2. Journal of bacteriology · 2026
    Review
  3. 16S rRNA sequence captures microbial functional potential.bioRxiv : the preprint server for biology · 2026
    Article
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  5. Review
  6. Article
  7. Synsor: a tool for alignment-free detection of engineered DNA sequences.Frontiers in bioengineering and biotechnology · 2024
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Frontiers in cellular and infection microbiology · 2022
    Article
  14. Review
  15. Article
  16. INSIDER: alignment-free detection of foreign DNA sequences.Computational and structural biotechnology journal · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Article

129 more citing papers are in PubMed but not listed here.

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.

S KarlinDepartment of Mathematics, Stanford University, California 94305-2125, USA.
J Mrázek
A M Campbell
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
GENETICS OF LAMBDOID PROPHAGESR01GM051117 · NIGMS · STANFORD UNIVERSITY · PI CAMPBELL, ALLAN M · 1994 to 1997
–
NHGRI NIH HHS 5R01HG00335-08NIGMS NIH HHS 5R01GM10452-32NIGMS NIH HHS 9R01GM51117-28
6 · The paper itself

Abstract

We compare and contrast genome-wide compositional biases and distributions of short oligonucleotides across 15 diverse prokaryotes that have substantial genomic sequence collections. These include seven complete genomes (Escherichia coli, Haemophilus influenzae, Mycoplasma genitalium, Mycoplasma pneumoniae, Synechocystis sp. strain PCC6803, Methanococcus jannaschii, and Pyrobaculum aerophilum). A key observation concerns the constancy of the dinucleotide relative abundance profiles over multiple 50-kb disjoint contigs within the same genome. (The profile is rhoXY* = fXY*/fX*fY* for all XY, where fX* denotes the frequency of the nucleotide X and fY* denotes the frequency of the dinucleotide XY, both computed from the sequence concatenated with its inverted complementary sequence.) On the basis of this constancy, we refer to the collection [rhoXY*] as the genome signature. We establish that the differences between [rhoXY*] vectors of 50-kb sample contigs of different genomes virtually always exceed the differences between those of the same genomes. Various di- and tetranucleotide biases are identified. In particular, we find that the dinucleotide CpG=CG is underrepresented in many thermophiles (e.g., M. jannaschii, Sulfolobus sp., and M. thermoautotrophicum) but overrepresented in halobacteria. TA is broadly underrepresented in prokaryotes and eukaryotes, but normal counts appear in Sulfolobus and P. aerophilum sequences. More than for any other bacterial genome, palindromic tetranucleotides are underrepresented in H. influenzae. The M. jannaschii sequence is unprecedented in its extreme underrepresentation of CTAG tetranucleotides and in the anomalous distribution of CTAG sites around the genome. Comparative analysis of numbers of long tetranucleotide microsatellites distinguishes H. influenzae. Dinucleotide relative abundance differences between bacterial sequences are compared. For example, in these assessments of differences, the cyanobacteria Synechocystis, Synechococcus, and Anabaena do not form a coherent group and are as far from each other as general gram-negative sequences are from general gram-positive sequences. The difference of M. jannaschii from low-G+C gram-positive proteobacteria is one-half of the difference from gram-negative proteobacteria. Interpretations and hypotheses center on the role of the genome signature in highlighting similarities and dissimilarities across different classes of prokaryotic species, possible mechanisms underlying the genome signature, the form and level of genome compositional flux, the use of the genome signature as a chronometer of molecular phylogeny, and implications with respect to the three putative eubacterial, archaeal, and eukaryote domains of life and to the origin and early evolution of eukaryotes.

Indexed as

Genome, BacterialBacteriaOligonucleotidesPhylogenyOligonucleotides

Identifiers

PMID9190805
PMCPMC179198
OpenAlexW2110342329

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.