title: New maximum likelihood estimators for eukaryotic intron evolution.
abstract: The evolution of spliceosomal introns remains poorly understood. Although many approaches have been used to infer intron evolution from the patterns of intron position conservation, the results to date have been contradictory. In this paper, we address the problem using a novel maximum likelihood method, which allows estimation of the frequency of intron insertion target sites, together with the rates of intron gain and loss. We analyzed the pattern of 10,044 introns (7,221 intron positions) in the conserved regions of 684 sets of orthologs from seven eukaryotes. We determined that there is an average of one target site per 11.86 base pairs (bp) (95% confidence interval, 9.27 to 14.39 bp). In addition, our results showed that: (i) overall intron gains are approximately 25% greater than intron losses, although specific patterns vary with time and lineage; (ii) parallel gains account for approximately 18.5% of shared intron positions; and (iii) reacquisition following loss accounts for approximately 0.5% of all intron positions. Our results should assist in resolving the long-standing problem of inferring the evolution of spliceosomal introns.
authors.affiliation: Frontier Science Research Center, University of Miyazaki, Kiyotake, Miyazaki, Japan.
authors.forename: Hung D
authors.initials: HD
authors.lastname: Nguyen
authors.forename: Maki
authors.initials: M
authors.lastname: Yoshihama
authors.forename: Naoya
authors.initials: N
authors.lastname: Kenmochi
mesh_terms: D000818:Animals; D017124:Conserved Sequence / Q000235:genetics; D005057:Eukaryotic Cells / Q000378:metabolism*; D019143:Evolution, Molecular; D006801:Humans; D007438:Introns / Q000235:genetics*; D016013:Likelihood Functions; D017381:Spliceosomes / Q000378:metabolism