2005
DOI: 10.1371/journal.pcbi.0010079
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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 r… Show more

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Cited by 78 publications
(102 citation statements)
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“…In contrast, our estimate was derived from observed data and therefore should be more reliable. It is known that spliceosomal introns existed in quite high density in the last common ancestor of the three eukaryotic kingdoms: animals, fungi, and plants [11,12,26]. However, the evolution of spliceosomal introns at the earliest stage of eukaryotic evolution remains unclear.…”
Section: Discussionmentioning
confidence: 99%
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“…In contrast, our estimate was derived from observed data and therefore should be more reliable. It is known that spliceosomal introns existed in quite high density in the last common ancestor of the three eukaryotic kingdoms: animals, fungi, and plants [11,12,26]. However, the evolution of spliceosomal introns at the earliest stage of eukaryotic evolution remains unclear.…”
Section: Discussionmentioning
confidence: 99%
“…We recently proposed a maximum likelihood approach for inferring the evolution of introns [26]; however, we believe that maximum parsimony is the best choice for the current dataset because maximum likelihood uses only patterns of intron position in the conserved regions of the multiple sequence alignment, and our dataset is not large enough to make valid statistical inferences using this method.…”
Section: Parsimony Analysis Of Crp-mrp Shared Positionsmentioning
confidence: 99%
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“…Past studies concluded that the early, eukaryotic ancestors were relatively rich in introns and that their genes contained relatively high intron densities (Rogozin et al 2003;Nguyen et al 2005;Raible et al 2005;Roy and Gilbert 2005a,b;Sverdlov et al 2005;Carmel et al 2007). This observation, combined with our finding that splicing signals are degenerate, may suggest that the genome of the ancestral eukaryote was more similar to the mammalian genome than previously anticipated and opens up the possibility that alternative splicing existed early in eukaryotic evolution.…”
Section: Splicing In the Eukaryotic Ancestormentioning
confidence: 99%
“…While Qiu et al (2004) concluded that intron gains were overwhelmingly dominant in eukaryotic evolution, the other studies detected both gains and losses but disagreed on their relative contributions. Analyzing the same set of orthologous genes from eight species (Rogozin et al 2003), some found an overall excess of gains (Nguyen et al 2005), others reported a substantial excess of losses Gilbert 2005a,b,c, 2006), and yet others did not offer conclusive statements on the relative contributions of gains and losses (Rogozin et al 2003;Csuros 2005). Each of these studies used a different set of assumptions and simplifications, and employed a different inference technique, making it hard to decide between the conflicting scenarios of intron evolution (Rogozin et al 2005b).…”
mentioning
confidence: 99%