Intron—exon structures of eukaryotic model organisms
Open accessAbstract
To investigate the distribution of intron—exon structures of eukaryotic genes, we have constructed a general exon database comprising all available introncontaining genes and exon databases from 10 eukaryotic model organisms: Homo sapiens, Mus musculus, Gallus gallus, Rattus norvegicus, Arabidopsis thaliana, Zea mays, Schizosaccharomyces pombe, Aspergillus, Caenorhabditis elegans and Drosophila . We purged redundant genes to avoid the possible bias brought about by redundancy in the databases. After discarding those questionable introns that do not contain correct splice sites, the final database contained 17 102 introns, 21 019 exons and 2903 independent or quasi-independent genes. On average, a eukaryotic gene contains 3.7 introns per kb protein coding region. The exon distribution peaks around 30–40 residues and most introns are 40–125 nt long. The variable intron—exon structures of the 10 model organisms reveal two interesting statistical phenomena, which cast light on some previous speculations. (i) Genome size seems to be correlated with total intron length per gene. For example, invertebrate introns are smaller than those of human genes, while yeast introns are shorter than invertebrate introns. However, this correlation is weak, suggesting that other factors besides genome size may also affect intron size. (ii) Introns smaller than 50 nt are significantly less frequent than longer introns, possibly resulting from a minimum intron size requirement for intron splicing.
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Intron lengths exhibit substantial biological variation and are less affected by annotation pipeline differences, as intron boundaries are defined by conserved splice sites.
“In contrast, intron lengths exhibit substantial biological variation and are less affected by annotation pipeline differences, as intron boundaries are defined by conserved splice sites (69, 95, 97, 98).”
From Convergent genome streamlining accompanies independent miniaturization in the world’s smallest fishes (2026) · cites this paper as [95]
The sections “Intron-exon structures in the overall database” and “Intron-exon structures in the 10 model organisms” report substantial variation in intron lengths. “Exon databases” describes checking splice-site sequences to exclude erroneous intron submissions, but the paper does not compare annotation pipelines or establish that intron lengths are less affected by pipeline differences. Page numbers are unavailable in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredExon lengths are highly conserved due to functional constraints on protein-coding sequences.
“While exon lengths are highly conserved due to functional constraints on protein-coding sequences (95–97)”
From Convergent genome streamlining accompanies independent miniaturization in the world’s smallest fishes (2026) · cites this paper as [95]
The section ‘Intron-exon structures in the overall database’ reports that exon lengths have a much tighter distribution than intron lengths, with most exons 30–40 residues long. It does not establish that exon lengths are conserved across evolution or attribute their distribution to functional constraints on protein-coding sequences; the functional constraints discussed in the Introduction concern intron splicing. Page numbers were not available in our copy. (LLM, conf=0.84)
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Research works printed but not linked: 6
- [7]7. Long,M., Rosenberg,C. and Gilbert,W. (1995) Proc. Natl Acad. Sci. USA , 92 , 12495-12499.
- [9]9. Pearson,W.R. (1994) Methods Mol. Biol. , 24 , 307-331.
- [10]10. Boyce,F.M., Beggs,A.H., Feener,C. and Kunkel,L.M. (1991) Proc. Natl Acad. Sci. USA , 88 , 1276-1280.
- [11]11. Gilson,P.R. and McFadden,G.I. (1996) Proc. Natl Acad. Sci. USA , 93 , 7737-7742.
- [15]15. Long,M., de Souza,S.J., Rosenberg,C. and Gilbert,W. (1998) Proc. Natl Acad. Sci. USA , 95 , 219-223.
- [16]16. Doolittle,W.F. (1990) In Stone,E.M. and Schwartz,R.J. (eds), Intervening Sequences in Evolution and Development . Oxford University Press, Oxford, UK, pp. 43-62.
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Sudasinghe, H., Matschiner, M., Britz, R., Conway, K. W., Tan, H. H., Salzburger, W., Peichel, C. L., & Rüber, L. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2614605123
- Authors
- Long, M., & Deutsch, M.
- Affiliations
- University of Chicago (US)
- Corresponding author
- Deutsch, Michael
- ORCID
- Long, Manyuan
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-08-01
- Volume
- 27
- Issue
- 15
- Pages
- 3219-3228
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC148551
- OpenAlex
- W1974365473
- Cited by
- 417
- References
- 0
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 7 · 2023: 12 · 2022: 7 · 2021: 10 · 2020: 19 · 2019: 9 · 2018: 10 · 2017: 11 · 2016: 9 · 2015: 20 · 2014: 16 · 2013: 14 · 2012: 15
- FWCI
- 6.41
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Nucleic Acids Research (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Chromosomal and Genetic Variations
- Keywords
- exon-intron structure, intron size, exon size, eukaryotic genes, genome size, intron splicing, splice sites, model organisms
- MeSH terms
- Animals, Eukaryotic Cells, Exons, Gene Frequency, Genes, Humans, Introns, Invertebrates, Molecular Weight, Plants, Proteins, RNA Splicing, RNA, Messenger, Schizosaccharomyces, Sequence Homology, Nucleic Acid, Statistical Distributions, Databases, Factual, Genome, Evolution, Molecular, Untranslated Regions, Rats
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