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Structural partitioning, paired-sites models and evolution of the ITS transcript in Syzygium and Myrtaceae

Biffin, Ed; Harrington, Mark G.; Crisp, Michael; Craven, Lyn A.; Gadek, Paul

Description

The internal transcribed spacers (ITS) of nuclear ribosomal DNA are widely used for phylogenetic inference. Several characteristics, including the influence of RNA secondary structure on the mutational dynamics of ITS, may impact on the accuracy of phylogenies estimated from these regions. Here, we develop RNA secondary structure predictions for representatives of the angiosperm family Myrtaceae. On this basis, we assess the utility of structural (stem vs. loop) partitioning, and RNA-specific...[Show more]

dc.contributor.authorBiffin, Ed
dc.contributor.authorHarrington, Mark G.
dc.contributor.authorCrisp, Michael
dc.contributor.authorCraven, Lyn A.
dc.contributor.authorGadek, Paul
dc.date.accessioned2015-12-08T22:11:34Z
dc.identifier.issn1055-7903
dc.identifier.urihttp://hdl.handle.net/1885/29851
dc.description.abstractThe internal transcribed spacers (ITS) of nuclear ribosomal DNA are widely used for phylogenetic inference. Several characteristics, including the influence of RNA secondary structure on the mutational dynamics of ITS, may impact on the accuracy of phylogenies estimated from these regions. Here, we develop RNA secondary structure predictions for representatives of the angiosperm family Myrtaceae. On this basis, we assess the utility of structural (stem vs. loop) partitioning, and RNA-specific (paired-sites) models for a 76 taxon Syzygium alignment, and for a broader, family-wide Myrtaceae ITS data set. We use a permutation approach to demonstrate that structural partitioning significantly improves the likelihood of the data. Similarly, models that account for the non-independence of stem-pairs in RNA structure have a higher likelihood than those that do not. The best-fit RNA models for ITS are those that exclude simultaneous double substitutions in stem-pairs, which suggests an absence of strong selection against non-canonical (G·U/U·G) base-pairs at a high proportion of stem-paired sites. We apply the RNA-specific models to the phylogeny of Syzygium and Myrtaceae and contrast these with hypotheses derived using standard 4-state models. There is little practical difference amongst relationships inferred for Syzygium although for Myrtaceae, there are several differences. The RNA-specific approach finds topologies that are less resolved but are more consistent with conventional views of myrtaceous relationships, compared with the 4-state models.
dc.publisherAcademic Press
dc.sourceMolecular Phylogenetics and Evolution
dc.subjectKeywords: ribosomal spacer DNA; ribosome RNA; article; base pairing; Bayes theorem; biological model; biology; comparative study; DNA sequence; Eugenia; genetic selection; genetics; molecular evolution; molecular genetics; nucleotide sequence; phylogeny; sequence a Bayesian analysis; ITS1; ITS2; Loops; Maximum likelihood; Model selection; Mutational dynamics; RNA-specific models; Secondary structure; Stems
dc.titleStructural partitioning, paired-sites models and evolution of the ITS transcript in Syzygium and Myrtaceae
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume43
dc.date.issued2007
local.identifier.absfor060409 - Molecular Evolution
local.identifier.ariespublicationu9511635xPUB68
local.type.statusPublished Version
local.contributor.affiliationBiffin, Ed, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationHarrington, Mark G., James Cook University
local.contributor.affiliationCrisp, Michael, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationCraven, Lyn A., CSIRO Plant Industry
local.contributor.affiliationGadek, Paul, James Cook University
local.description.embargo2037-12-31
local.bibliographicCitation.startpage124
local.bibliographicCitation.lastpage139
local.identifier.doi10.1016/j.ympev.2006.08.013
dc.date.updated2015-12-08T07:42:13Z
local.identifier.scopusID2-s2.0-33947576587
CollectionsANU Research Publications

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