Evidence map›Paper›PMID 12186647›Full record

ArticleGenome biology2002

The dominance of the population by a selected few: power-law behaviour applies to a wide variety of genomic properties.

Nicholas M Luscombe, Jiang Qian, Zhaolei Zhang, Ted Johnson, Mark Gerstein

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

37 citing papers in PubMed, 121 citations in OpenAlex.

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  6. Grammar of protein domain architectures.Proceedings of the National Academy of Sciences of the United States of America · 2019
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  14. Env-less endogenous retroviruses are genomic superspreaders.Proceedings of the National Academy of Sciences of the United States of America · 2012
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  15. Large-scale dynamics of horizontal transfers.Mobile genetic elements · 2012
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  20. Fractal topology of gene promoter networks at phase transitions.Gene regulation and systems biology · 2010
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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.

Nicholas M LuscombeDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520-8114, USA.
Jiang Qian
Zhaolei Zhang
Ted Johnson
Mark Gerstein
Yale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe sequencing of genomes provides us with an inventory of the 'molecular parts' in nature, such as protein families and folds, and their functions in living organisms. Through the analysis of such inventories, it has been shown that different genomes have very different usage of parts; for example, the common folds in the worm are very different from those in Escherichia coli.

resultsDespite these differences, we find that the genomic occurrence of generalized parts follows a well-known mathematical framework called the power law, with a few parts occurring many times and most occurring only a few times. This observation is true in a wide variety of genomic contexts. Earlier studies found power laws in a few specific cases, such as the occurrence of protein families. Here, we find many further cases of power-law behavior, for example in the occurrence of pseudogenes and in levels of gene expression. We show comprehensively that this behavior applies across many different genomes, for many different types of parts (DNA words, InterPro families, protein superfamilies and folds, pseudogene families and pseudomotifs), and for the many disparate attributes associated with these parts (their functions, interactions and expression levels).

conclusionsPower-law behavior provides a concise mathematical description of an important biological feature: the sheer dominance of a few members over the overall population. We present this behavior in a unified framework and propose that all these observations are connected to an underlying DNA duplication process as genomes evolved to their current state.

Indexed as

AnimalsCaenorhabditis elegansComputational BiologyDNA, HelminthGene FrequencyGenes, DominantGenes, DuplicateGenes, HelminthGenetics, BehavioralGenomeMultigene FamilyOligonucleotidesProtein BindingProtein FoldingProtein Interaction MappingSaccharomyces cerevisiaeDNA, HelminthOligonucleotidesSaccharomyces cerevisiae Proteins

Identifiers

PMID12186647
PMCPMC126234
OpenAlexW2150249052

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.