title: Correcting for differential transcript coverage reveals a strong relationship between alternative splicing and organism complexity.
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.
authors.affiliation: Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
authors.forename: Lu
authors.initials: L
authors.lastname: Chen
authors.affiliation: Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Bush
authors.affiliation: Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
authors.forename: Jaime M
authors.initials: JM
authors.lastname: Tovar-Corona
authors.affiliation: Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom.
authors.forename: Atahualpa
authors.initials: A
authors.lastname: Castillo-Morales
authors.affiliation: Department of Biology and Biochemistry, University of Bath, Bath, United Kingdom a.urrutia@bath.ac.uk.
authors.forename: Araxi O
authors.initials: AO
authors.lastname: Urrutia
mesh_terms: D017398:Alternative Splicing; D000818:Animals; D005075:Biological Evolution; D056890:Eukaryota / Q000145:classification* / Q000235:genetics*; D019143:Evolution, Molecular; D020224:Expressed Sequence Tags; D006801:Humans; D010802:Phylogeny; D013045:Species Specificity; D059467:Transcriptome
keywords: alternative splicing; expressed sequence tags; genome evolution; organism complexity; transcriptome evolution