Evidence map›Paper›PMID 24682283›Full record

ArticleMolecular biology and evolution2014

Correcting for differential transcript coverage reveals a strong relationship between alternative splicing and organism complexity.

Lu Chen, Stephen J Bush, Jaime M Tovar-Corona, Atahualpa Castillo-Morales, Araxi O Urrutia

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

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0cells of the map it votes in
87citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

87 citing papers in PubMed.

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  11. Organismal complexity strongly correlates with the number of protein families and domains.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  20. Heterobifunctional small molecules to modulate RNA function.Trends in pharmacological sciences · 2024
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27 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

5 authors.

Lu ChenDepartment of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Stephen J BushDepartment of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Jaime M Tovar-CoronaDepartment of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Atahualpa Castillo-MoralesDepartment of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
Araxi O UrrutiaDepartment of Biology and Biochemistry, University of Bath, Bath, United Kingdom a.urrutia@bath.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What at the genomic level underlies organism complexity? Although several genomic features have been associated with organism complexity, in the case of alternative splicing, which has long been proposed to explain the variation in complexity, no such link has been established. Here, we analyzed over 39 million expressed sequence tags available for 47 eukaryotic species with fully sequenced genomes to obtain a comparable index of alternative splicing estimates, which corrects for the distorting effect of a variable number of transcripts per species--an important obstacle for comparative studies of alternative splicing. We find that alternative splicing has steadily increased over the last 1,400 My of eukaryotic evolution and is strongly associated with organism complexity, assayed as the number of cell types. Importantly, this association is not explained as a by-product of covariance between alternative splicing with other variables previously linked to complexity including gene content, protein length, proteome disorder, and protein interactivity. In addition, we found no evidence to suggest that the relationship of alternative splicing to cell type number is explained by drift due to reduced N(e) in more complex species. Taken together, our results firmly establish alternative splicing as a significant predictor of organism complexity and are, in principle, consistent with an important role of transcript diversification through alternative splicing as a means of determining a genome's functional information capacity.

Indexed as

Alternative SplicingBiological EvolutionAnimalsEukaryotaEvolution, MolecularExpressed Sequence TagsHumansPhylogenySpecies SpecificityTranscriptomealternative splicingexpressed sequence tagsgenome evolutionorganism complexitytranscriptome evolution

Identifiers

PMID24682283
PMCPMC4032128

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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.