Testing the accuracy of methods for reconstructing ancestral states of continuous characters.

Many methods are available for estimating ancestral values of continuous characteristics, but little is known about how well these methods perform. Here we compare six methods: linear parsimony, squared-change parsimony, one-parameter maximum likelihood (Brownian motion), two-parameter maximum likelihood (Ornstein-Uhlenbeck process), and independent comparisons with and without branch-length information. We apply these methods to data from 20 morphospecies of Pleistocene planktic Foraminifera in order to estimate ancestral size and shape variables, and compare these estimates with measurements on fossils close to the phylogenetic position of 13 ancestors. No method produced accurate estimates for any variable: estimates were consistently less good as predictors of the observed values than were the averages of the observed values. The two-parameter maximum-likelihood model consistently produces the most accurate size estimates overall. Estimation of ancestral sizes is confounded by an evolutionary trend towards increasing size. Shape showed no trend but was still estimated very poorly: we consider possible reasons. We discuss the implications of our results for the use of estimates of ancestral characteristics.     

Investigations of the performance of a high-performance liquid chromatography system with an electrochemical detector

A procedure for the determination of norepinephrine and dopamine, based on high-performance liquid chromatography, is evaluated using an electrochemical detector system. The use of an inorganic mobile phase to provide resolution of low retention amines and extend column life is discussed. A high degree of correlation between estimations of endogenous catecholamine levels is reported using both electrochemical and fluorometric detector systems. Inter-assay reproducibility of the extraction method, and sensitivity and linearity of response of the electrochemical detector system are shown to be consistent across trials. The system described is determined to be accurate, sensitive, and reliable over time.     

Persistence of infection in mice inoculated intranasally with Cryptococcus neoformans

Cryptococcus neoformans was instilled intranasally into mice which were periodically sacrificed to determine the course of infection. Cryptococci persisted within the nasal passages throughout the 90 day study. Extranasal dissemination began 14–28 days after instillation and was still demonstrable 90 days post-exposure. Ten percent mortality was observed in mice receiving 10⁶ cryptococci, while no mortality was observed in mice exposed to 10³ or 10⁴ cryptococci. Our research suggests that nasal colonization with C. neoformans can precede pulmonary and systemic cryptococcosis by weeks or months.     

Functional expression of the rat brown adipose tissue uncoupling protein in Saccharomyces cerevisiae

The uncoupling protein (UCP) from mammalian brown adipose tissue is an integral component of the mitochondrial inner membrane where it dissipates the proton electrochemical gradient. UCP is transported into mitochondria from the cytosol but lacks a cleavable targeting peptide. We have expressed the rat UCP in Saccharomyces cerevisiae and shown that this protein, which is not normally found in yeast, is targeted to the mitochondria where it disrupts mitochondrial function, probably by uncoupling oxidative phosphorylation. The observed growth defect is dependent upon the level of expression of UCP. When the unmodified UCP cDNA is expressed in yeast under the control of the GAL10 promoter no defect in growth is observed. We have inserted the UCP coding sequence behind the strong phosphoglycerate kinase promoter under the control of the GAL1-10 upstream activation site and introduced a yeast consensus sequence (ATAATG) at the translation start site. We have found that UCP expressed in S. cerevisiae is targeted to mitochondria and that its expression induces a marked growth defect on non-fermentable carbon sources in a manner dependent on induction with galactose.     

Estimators of the Mantel-Haenszel variance consistent in both sparse data and large-strata limiting models

This paper proposes a new estimator of the variance of the Mantel-Haenszel estimator of common odds ratio that is easily computed and consistent in both sparse data and large-strata limiting models. Monte Carlo experiments compare its performance to that of previously proposed variance estimators.