Evidence map›Paper›PMID 41929050›Full record

ArticlebioRxiv : the preprint server for biology2026

Beyond gene length: Exon-intron architecture and isoform potential in the evolution of eukaryotic complexity.

Senbao Lu, Yue Bao, Gloria M Sheynkman, Dmitry Korkin

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Senbao LuBioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, MA 01609, USA.ORCID 0000-0001-9612-9703
Yue BaoBioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, MA 01609, USA.
Gloria M SheynkmanDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0002-4223-9947
Dmitry KorkinBioinformatics and Computational Biology Program, Worcester Polytechnic Institute, Worcester, MA 01609, USA.ORCID 0000-0002-3875-9085

Funding

Predicting the functional impact of alternative splicing on protein-protein interactions using an integrated approachR01LM014017 · NLM · WORCESTER POLYTECHNIC INSTITUTE · PI KORKIN, DMITRY, SHEYNKMAN, GLORIA · 2022 to 2025
$1.3M
NLM NIH HHS R01 LM014017
6 · The paper itself

Abstract

Alternative splicing is a major source of human transcriptomic and phenotypic variation, yet its evolutionary contribution to genomic complexity remains unresolved. It has been shown that a mean gene length can be the most basic but remarkably efficient proxy for multicellular genome complexity, whereas mean protein length is not, as it plateaus abruptly early in eukaryotic evolution. Here, we show that, across 2,683 genomes, exon count continues to increase beyond this transition and then rapidly saturates at ~10 exons per gene, supporting its role as an additional dimension of genomic complexity linked to exon-intron architecture. A simple stochastic exon-splitting model reproduces the observed biphasic exon-number growth pattern and identifies minimal exon length as a key determinant.

Indexed as

alternative splicingexon-intron architectureGenome complexity

Identifiers

PMID41929050
PMCPMC13041844

What Socratic holds

Textmetadata
LicenceCC BY-ND
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 Socratic graph.