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Biomedical subjects

Peter G Foster

Publications and source records attributed to Peter G Foster.

8 recordsLinked to original sources

Dense taxonomic EST sampling and its applications for molecular systematics of the Coleoptera (beetles).

Expressed sequence tag (EST) sequences can provide a wealth of data for phylogenetic and genomic studies, but the utility of these resources is restricted by poor taxonomic sampling. Here, we use small EST libraries (<1,000 clones) to generate phylogenetic markers across a broad sample of insects, focusing on the species-rich Coleoptera (beetles). We sequenced over 23,000 ESTs from 34 taxa, which produced 8,728 unique sequences after clustering nonredundant sequences. Between taxa, the sequences could be grouped into 731 gene clusters, with the largest corresponding to mitochondrial DNA transcripts and gene families chymotrypsin, actin, troponin, and tubulin. While levels of paralogy were high in most gene clusters, several midsized clusters including many ribosomal protein (RP) genes appeared to be free of expressed paralogs. To evaluate the utility of EST data for molecular systematics, we curated available transcripts for 66 RP genes from representatives of the major groups of Coleoptera. Using supertree and supermatrix approaches for phylogenetic analysis, the results were consistent with the emerging phylogenetic conclusions about basal relationships in Coleoptera. Numerous small EST libraries from a taxonomically densely sampled lineage can provide a core set of genes that together act as a scaffold in phylogenetic reconstruction, comparative genomics, and studies of gene evolution.

Animals↗

Inference of the phylogenetic position of oxymonads based on nine genes: support for metamonada and excavata.

Circumscribing major eukaryote groups and resolving higher order relationships between them are among the most challenging tasks facing molecular evolutionists. Recently, evidence suggesting a new supergroup (the Excavata) comprising a wide array of flagellates has been collected. This group consists of diplomonads, retortamonads, Carpediemonas, heteroloboseans, Trimastix, jakobids, and Malawimonas, all of which possess a particular type of ventral feeding groove that is proposed to be homologous. Euglenozoans, parabasalids, and oxymonads have also been associated with Excavata as their relationships to one or more core excavate taxa were demonstrated. However, the main barrier to the general acceptance of Excavata is that its existence is founded primarily on cytoskeletal similarities, without consistent support from molecular phylogenetics. In gene trees, Excavata are typically not recovered together. In this paper, we present an analysis of the phylogenetic position of oxymonads (genus Monocercomonoides) based on concatenation of eight protein sequences (alpha-tubulin, beta-tubulin, gamma-tubulin, EF-1alpha, EF-2, cytosolic (cyt) HSP70, HSP90, and ubiquitin) and 18S rRNA. We demonstrate that the genes are in conflict regarding the position of oxymonads. Concatenation of alpha- and beta-tubulin placed oxymonads in the plant-chromist part of the tree, while the concatenation of other genes recovered a well-supported group of Metamonada (oxymonads, diplomonads, and parabasalids) that branched weakly with euglenozoans--connecting all four excavates included in the analyses and thus providing conditional support for the existence of Excavata.

Animals↗

The genome of the protist parasite Entamoeba histolytica.

Entamoeba histolytica is an intestinal parasite and the causative agent of amoebiasis, which is a significant source of morbidity and mortality in developing countries. Here we present the genome of E. histolytica, which reveals a variety of metabolic adaptations shared with two other amitochondrial protist pathogens: Giardia lamblia and Trichomonas vaginalis. These adaptations include reduction or elimination of most mitochondrial metabolic pathways and the use of oxidative stress enzymes generally associated with anaerobic prokaryotes. Phylogenomic analysis identifies evidence for lateral gene transfer of bacterial genes into the E. histolytica genome, the effects of which centre on expanding aspects of E. histolytica's metabolic repertoire. The presence of these genes and the potential for novel metabolic pathways in E. histolytica may allow for the development of new chemotherapeutic agents. The genome encodes a large number of novel receptor kinases and contains expansions of a variety of gene families, including those associated with virulence. Additional genome features include an abundance of tandemly repeated transfer-RNA-containing arrays, which may have a structural function in the genome. Analysis of the genome provides new insights into the workings and genome evolution of a major human pathogen.

Animals↗

Trichomonas hydrogenosomes contain the NADH dehydrogenase module of mitochondrial complex I.

Hydrogenosomes are double-membraned ATP-producing and hydrogen-producing organelles of diverse anaerobic eukaryotes. In some versions of endosymbiotic theory they are suggested to be homologues of mitochondria, but alternative views suggest they arose from an anaerobic bacterium that was distinct from the mitochondrial endosymbiont. Here we show that the 51-kDa and 24-kDa subunits of the NADH dehydrogenase module in complex I, the first step in the mitochondrial respiratory chain, are active in hydrogenosomes of Trichomonas vaginalis. Like mitochondrial NADH dehydrogenase, the purified Trichomonas enzyme can reduce a variety of electron carriers including ubiquinone, but unlike the mitochondrial enzyme it can also reduce ferredoxin, the electron carrier used for hydrogen production. The presence of NADH dehydrogenase solves the long-standing conundrum of how hydrogenosomes regenerate NAD+ after malate oxidation. Phylogenetic analyses show that the Trichomonas 51-kDa homologue shares common ancestry with the mitochondrial enzyme. Recruitment of complex I subunits into a H2-producing pathway provides evidence that mitochondria and hydrogenosomes are aerobic and anaerobic homologues of the same endosymbiotically derived organelle.

Aerobiosis↗

Molecular analysis of the dengue virus type 1 and 2 in Brazil based on sequences of the genomic envelope-nonstructural protein 1 junction region.

The genomic sequences of the Envelope-Non-Structural protein 1 junction region (E/NS1) of 84 DEN-1 and 22 DEN-2 isolates from Brazil were determined. Most of these strains were isolated in the period from 1995 to 2001 in endemic and regions of recent dengue transmission in São Paulo State. Sequence data for DEN-1 and DEN-2 utilized in phylogenetic and split decomposition analyses also include sequences deposited in GenBank from different regions of Brazil and of the world. Phylogenetic analyses were done using both maximum likelihood and Bayesian approaches. Results for both DEN-1 and DEN-2 data are ambiguous, and support for most tree bipartitions are generally poor, suggesting that E/NS1 region does not contain enough information for recovering phylogenetic relationships among DEN-1 and DEN-2 sequences used in this study. The network graph generated in the split decomposition analysis of DEN-1 does not show evidence of grouping sequences according to country, region and clades. While the network for DEN-2 also shows ambiguities among DEN-2 sequences, it suggests that Brazilian sequences may belong to distinct subtypes of genotype III.

Amino Acid Sequence↗

Modeling compositional heterogeneity.

Compositional heterogeneity among lineages can compromise phylogenetic analyses, because models in common use assume compositionally homogeneous data. Models that can accommodate compositional heterogeneity with few extra parameters are described here, and used in two examples where the true tree is known with confidence. It is shown using likelihood ratio tests that adequate modeling of compositional heterogeneity can be achieved with few composition parameters, that the data may not need to be modelled with separate composition parameters for each branch in the tree. Tree searching and placement of composition vectors on the tree are done in a Bayesian framework using Markov chain Monte Carlo (MCMC) methods. Assessment of fit of the model to the data is made in both maximum likelihood (ML) and Bayesian frameworks. In an ML framework, overall model fit is assessed using the Goldman-Cox test, and the fit of the composition implied by a (possibly heterogeneous) model to the composition of the data is assessed using a novel tree-and model-based composition fit test. In a Bayesian framework, overall model fit and composition fit are assessed using posterior predictive simulation. It is shown that when composition is not accommodated, then the model does not fit, and incorrect trees are found; but when composition is accommodated, the model then fits, and the known correct phylogenies are obtained.

Base Composition↗

Hydrogenosomes, mitochondria and early eukaryotic evolution.

Available data suggest that unusual organelles called hydrogenosomes, that make ATP and hydrogen, and which are found in diverse anaerobic eukaryotes, were once mitochondria. The evolutionary origins of the enzymes used to make hydrogen, pyruvate:ferredoxin oxidoreductase (PFO) and hydrogenase, are unresolved, but it seems likely that both were present at an early stage of eukaryotic evolution. Once thought to be restricted to a few unusual anaerobes, these proteins are found in diverse eukaryotic cells, including our own, where they are targeted to different cell compartments. Organelles related to mitochondria and hydrogenosomes have now been found in species of anaerobic and parasitic protozoa that were previously thought to have separated from other eukaryotes before the mitochondrial endosymbiosis. Thus it is possible that all eukaryotes may eventually be shown to contain an organelle of mitochondrial ancestry, bearing testimony to the important role that the mitochondrial endosymbiosis has played in eukaryotic evolution. It remains to be seen if members of this family of organelles share a common function essential to the eukaryotic cell, that provides the underlying selection pressure for organelle retention under different living conditions.

Adenosine Triphosphate↗