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Biomedical subjects

N C Grassly

Publications and source records attributed to N C Grassly.

6 recordsLinked to original sources

Population dynamics of HIV-1 inferred from gene sequences.

A method for the estimation of population dynamic history from sequence data is described and used to investigate the past population dynamics of HIV-1 subtypes A and B. Using both gag and env gene alignments the effective population size of each subtype is estimated and found to be surprisingly small. This may be a result of the selective sweep of mutations through the population, or may indicate an important role of genetic drift in the fixation of mutations. The implications of these results for the spread of drug-resistant mutations and transmission dynamics, and also the roles of selection and recombination in shaping HIV-1 genetic diversity, are discussed. A larger estimated effective population size for subtype A may be the result of differences in time of origin, transmission dynamics, and/or population structure. To investigate the importance of population structure a model of population subdivision was fitted to each subtype, although the improvement in likelihood was found to be nonsignificant.

Genes, Viral↗

Mortality among human immunodeficiency virus type 2-positive villagers in rural Guinea-Bissau is correlated with viral genotype.

We present the results of a 6-year study of 131 human immunodeficiency virus (HIV) type 2 (HIV-2)-infected individuals from a rural population in Guinea-Bissau. Proviral DNA sequences 1.3 kb in length were obtained from each individual and, together with clinical data, including proviral load and CD4 and CD8 levels, were used to assess whether viral genotype influences clinical outcome. With a phylogenetic model, a correlation was found between viral genotype and mortality; this correlation was not due to confounding factors, such as age-specific viral strains or cohabitation of patients. The data provide strong evidence for the involvement of viral genetic factors in determining HIV disease progression in vivo. The pattern of association found suggests that virulence factors are multiple and scattered throughout the HIV-2 genome and can be rapidly gained or lost by the virus through a combination of mutation and recombination. These findings may lead to the identification of viral determinants of HIV disease progression.

Adolescent↗

Seq-Gen: an application for the Monte Carlo simulation of DNA sequence evolution along phylogenetic trees.

MOTIVATION: Seq-Gen is a program that will simulate the evolution of nucleotide sequences along a phylogeny, using common models of the substitution process. A range of models of molecular evolution are implemented, including the general reversible model. Nucleotide frequencies and other parameters of the model may be given and site-specific rate heterogeneity can also be incorporated in a number of ways. Any number of trees may be read in and the program will produce any number of data sets for each tree. Thus, large sets of replicate simulations can be easily created. This can be used to test phylogenetic hypotheses using the parametric bootstrap. AVAILABILITY: Seq-Gen can be obtained by WWW from http:/(/)evolve.zoo.ox.ac.uk/Seq-Gen/seq-gen.html++ + or by FTP from ftp:/(/)evolve.zoo.ox.ac.uk/packages/Seq-Gen/. The package includes the source code, manual and example files. An Apple Macintosh version is available from the same sites.

Algorithms↗

A likelihood method for the detection of selection and recombination using nucleotide sequences.

Different regions along nucleotide sequences are often subject to different evolutionary forces. Recombination will result in regions having different evolutionary histories, while selection can cause regions to evolve at different rates. This paper presents a statistical method based on likelihood for detecting such processes by identifying the regions which do not fit with a single phylogenetic topology and nucleotide substitution process along the entire sequence. Subsequent reanalysis of these anomalous regions may then be possible. The method is tested using simulations, and its application is demonstrated using the primate psi eta-globin pseudogene, the V3 region of the envelope gene of HIV-1, and argF sequences from Neisseria bacteria. Reanalysis of anomalous regions is shown to reveal possible immune selection in HIV-1 and recombination in Neisseria. A computer program which implements the method is available.

Animals↗

Bi-De: an application for simulating phylogenetic processes.

Birth-Death (Bi-De) is an application for the Apple Macintosh which simulates the growth of phylogenetic trees using various models of lineage birth and death. The trees produced are intended to be analogous to those reconstructed from molecular sequence data. The user may define a constant birth rate and death rate or a function describing how these rates vary by time or population size. Instantaneous mass extinctions can also be simulated. The package allows the tree produced to be used as a template for the simulated evolution of molecular sequence data under a range of different transition models.

Algorithms↗