Dataset Information

Phylogenetic-comparative analysis of the eukaryal ribonuclease P RNA.

ABSTRACT: Ribonuclease P (RNase P) is the ribonucleoprotein enzyme that cleaves 5'-leader sequences from precursor-tRNAs. Bacterial and eukaryal RNase P RNAs differ fundamentally in that the former, but not the latter, are capable of catalyzing pre-tRNA maturation in vitro in the absence of proteins. An explanation of these functional differences will be assisted by a detailed comparison of bacterial and eukaryal RNase P RNA structures. However, the structures of eukaryal RNase P RNAs remain poorly characterized, compared to their bacterial and archaeal homologs. Hence, we have taken a phylogenetic-comparative approach to refine the secondary structures of eukaryal RNase P RNAs. To this end, 20 new RNase P RNA sequences have been determined from species of ascomycetous fungi representative of the genera Arxiozyma, Clavispora, Kluyveromyces, Pichia, Saccharomyces, Saccharomycopsis, Torulaspora, Wickerhamia, and Zygosaccharomyces. Phylogenetic-comparative analysis of these and other sequences refines previous eukaryal RNase P RNA secondary structure models. Patterns of sequence conservation and length variation refine the minimum-consensus model of the core eukaryal RNA structure. In comparison to bacterial RNase P RNAs, the eukaryal homologs lack RNA structural elements thought to be critical for both substrate binding and catalysis. Nonetheless, the eukaryal RNA retains the main features of the catalytic core of the bacterial RNase P. This indicates that the eukaryal RNA remains intrinsically a ribozyme.

SUBMITTER: Frank DN

PROVIDER: S-EPMC1370057 | biostudies-other | 2000 Dec

REPOSITORIES: biostudies-other

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Phylogenetic-comparative analysis of the eukaryal ribonuclease P RNA.

Frank D N DN Adamidi C C Ehringer M A MA Pitulle C C Pace N R NR

RNA (New York, N.Y.) 20001201 12

Ribonuclease P (RNase P) is the ribonucleoprotein enzyme that cleaves 5'-leader sequences from precursor-tRNAs. Bacterial and eukaryal RNase P RNAs differ fundamentally in that the former, but not the latter, are capable of catalyzing pre-tRNA maturation in vitro in the absence of proteins. An explanation of these functional differences will be assisted by a detailed comparison of bacterial and eukaryal RNase P RNA structures. However, the structures of eukaryal RNase P RNAs remain poorly charac ...[more]

PMID: 11142387

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Project description:BackgroundUncertainty in comparative analyses can come from at least two sources: a) phylogenetic uncertainty in the tree topology or branch lengths, and b) uncertainty due to intraspecific variation in trait values, either due to measurement error or natural individual variation. Most phylogenetic comparative methods do not account for such uncertainties. Not accounting for these sources of uncertainty leads to false perceptions of precision (confidence intervals will be too narrow) and inflated significance in hypothesis testing (e.g. p-values will be too small). Although there is some application-specific software for fitting Bayesian models accounting for phylogenetic error, more general and flexible software is desirable.MethodsWe developed models to directly incorporate phylogenetic uncertainty into a range of analyses that biologists commonly perform, using a Bayesian framework and Markov Chain Monte Carlo analyses.ResultsWe demonstrate applications in linear regression, quantification of phylogenetic signal, and measurement error models. Phylogenetic uncertainty was incorporated by applying a prior distribution for the phylogeny, where this distribution consisted of the posterior tree sets from Bayesian phylogenetic tree estimation programs. The models were analysed using simulated data sets, and applied to a real data set on plant traits, from rainforest plant species in Northern Australia. Analyses were performed using the free and open source software OpenBUGS and JAGS.ConclusionsIncorporating phylogenetic uncertainty through an empirical prior distribution of trees leads to more precise estimation of regression model parameters than using a single consensus tree and enables a more realistic estimation of confidence intervals. In addition, models incorporating measurement errors and/or individual variation, in one or both variables, are easily formulated in the Bayesian framework. We show that BUGS is a useful, flexible general purpose tool for phylogenetic comparative analyses, particularly for modelling in the face of phylogenetic uncertainty and accounting for measurement error or individual variation in explanatory variables. Code for all models is provided in the BUGS model description language.

Project description:Transmission of arthropod-borne apicomplexan parasites that cause disease and result in death or persistent infection represents a major challenge to global human and animal health. First described in 1901 as Piroplasma equi, this re-emergent apicomplexan parasite was renamed Babesia equi and subsequently Theileria equi, reflecting an uncertain taxonomy. Understanding mechanisms by which apicomplexan parasites evade immune or chemotherapeutic elimination is required for development of effective vaccines or chemotherapeutics. The continued risk of transmission of T. equi from clinically silent, persistently infected equids impedes the goal of returning the U. S. to non-endemic status. Therefore comparative genomic analysis of T. equi was undertaken to: 1) identify genes contributing to immune evasion and persistence in equid hosts, 2) identify genes involved in PBMC infection biology and 3) define the phylogenetic position of T. equi relative to sequenced apicomplexan parasites.The known immunodominant proteins, EMA1, 2 and 3 were discovered to belong to a ten member gene family with a mean amino acid identity, in pairwise comparisons, of 39%. Importantly, the amino acid diversity of EMAs is distributed throughout the length of the proteins. Eight of the EMA genes were simultaneously transcribed. As the agents that cause bovine theileriosis infect and transform host cell PBMCs, we confirmed that T. equi infects equine PBMCs, however, there is no evidence of host cell transformation. Indeed, a number of genes identified as potential manipulators of the host cell phenotype are absent from the T. equi genome. Comparative genomic analysis of T. equi revealed the phylogenetic positioning relative to seven apicomplexan parasites using deduced amino acid sequences from 150 genes placed it as a sister taxon to Theileria spp.The EMA family does not fit the paradigm for classical antigenic variation, and we propose a novel model describing the role of the EMA family in persistence. T. equi has lost the putative genes for host cell transformation, or the genes were acquired by T. parva and T. annulata after divergence from T. equi. Our analysis identified 50 genes that will be useful for definitive phylogenetic classification of T. equi and closely related organisms.

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Phylogenetic-comparative analysis of the eukaryal ribonuclease P RNA.

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Phylogenetic-comparative analysis of the eukaryal ribonuclease P RNA.

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