Evidence map›Paper›PMID 15254274›Full record

ArticleNucleic acids research2004

Prevalence of intron gain over intron loss in the evolution of paralogous gene families.

Vladimir N Babenko, Igor B Rogozin, Sergei L Mekhedov, Eugene V Koonin

Open access · bronzeAbstract read
In one paragraph

Article in Nucleic acids research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
3.5field-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

84 citing papers in PubMed, 157 citations in OpenAlex.

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24 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

4 authors at 1 institution in 1 country.

Vladimir N BabenkoNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bldg 38A, Bethesda, MD 20894, USA.
Igor B Rogozin
Sergei L Mekhedov
Eugene V Koonin
National Institutes of Health · US

Funding

Comparative Analysis Of Completely Sequenced GenomesZIALM000073 · NLM · NATIONAL LIBRARY OF MEDICINE · PI KOONIN, EUGENE V · 2009 to 2025
$43.1M
COMPARATIVE ANALYSIS OF COMPLETELY SEQUENCED GENOMESZ01LM000073 · NLM · NATIONAL LIBRARY OF MEDICINE · PI KOONIN, EUGENE V · 1996 to 2008
$1.2M
6 · The paper itself

Abstract

The mechanisms and evolutionary dynamics of intron insertion and loss in eukaryotic genes remain poorly understood. Reconstruction of parsimonious scenarios of gene structure evolution in paralogous gene families in animals and plants revealed numerous gains and losses of introns. In all analyzed lineages, the number of acquired new introns was substantially greater than the number of lost ancestral introns. This trend held even for lineages in which vertical evolution of genes involved more intron losses than gains, suggesting that gene duplication boosts intron insertion. However, dating gene duplications and the associated intron gains and losses based on the molecular clock assumption showed that very few, if any, introns were gained during the last approximately 100 million years of animal and plant evolution, in agreement with previous conclusions reached through analysis of orthologous gene sets. These results are generally compatible with the emerging notion of intensive insertion and loss of introns during transitional epochs in contrast to the relative quiet of the intervening evolutionary spans.

Indexed as

Evolution, MolecularIntronsAmino Acid SequenceAnimalsMolecular Sequence DataMultigene FamilyMutagenesis, InsertionalPlantsSequence DeletionSequence Homology, Amino Acid

Identifiers

PMID15254274
PMCPMC484173
OpenAlexW2030895290

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.