Evidence map›Paper›PMID 17103060›Full record

ArticleJournal of molecular evolution2006

Computational prediction of genomic functional cores specific to different microbes.

Alessandra Carbone

Abstract read
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In one paragraph

Article in Journal of molecular evolution, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Codon-based indices for modeling gene expression and transcript evolution.Computational and structural biotechnology journal · 2021
    Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. The essential genome of a bacterium.Molecular systems biology · 2011
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Bacteria as computers making computers.FEMS microbiology reviews · 2009
    Review
  14. Review
  15. Detecting evolutionary relationships across existing fold space, using sequence order-independent profile-profile alignments.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  16. 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

1 author.

Alessandra CarboneGénomique Analytique, Université Pierre et Marie Curie-Paris 6, INSERM U511, 91, Bd de I'Hôpital, 75013, Paris, France. alessandra.carbone@lip6.fr

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational and experimental attempts tried to characterize a universal core of genes representing the minimal set of functional needs for an organism. Based on the increasing number of available complete genomes, comparative genomics has concluded that the universal core contains < 50 genes. In contrast, experiments suggest a much larger set of essential genes (certainly more than several hundreds, even under the most restrictive hypotheses) that is dependent on the biological complexity and environmental specificity of the organism. Highly biased genes, which are generally also the most expressed in translationally biased organisms, tend to be over represented in the class of genes deemed to be essential for any given bacterial species. This association is far from perfect; nevertheless, it allows us to propose a new computational method to detect, to a certain extent, ubiquitous genes, nonorthologous genes, environment-specific genes, genes involved in the stress response, and genes with no identified function but highly likely to be essential for the cell. Most of these groups of genes cannot be identified with previously attempted computational and experimental approaches. The large variety of life-styles and the unusually detectable functional signals characterizing translationally biased organisms suggest using them as reference organisms to infer essentiality in other microbial species. The case of small parasitic genomes is discussed. Data issued by the analysis are compared with previous computational and experimental studies. Results are discussed both on methodological and biological grounds.

Indexed as

Genome, BacterialBacillus subtilisBiological EvolutionCodonComputational BiologyEscherichia coliGammaproteobacteriaSynechocystisCodon

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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.