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Biomedical subjects

Allen G Rodrigo

Publications and source records attributed to Allen G Rodrigo.

8 recordsLinked to original sources
PubMed2003

Inferring evolutionary rates using serially sampled sequences from several populations.

The estimation of evolutionary rates from serially sampled sequences has recently been the focus of several studies. In this paper, we extend these analyzes to allow the estimation of a joint rate of substitution, omega, from several evolving populations from which serial samples are drawn. In the case of viruses evolving in different hosts, therapy may halt replication and therefore the accumulation of substitutions in the population. In such cases, it may be that only a proportion, p, of subjects are nonresponders who have viral populations that continue to evolve. We develop two likelihood-based procedures to jointly estimate p and omega, and empirical Bayes' tests of whether an individual should be classified as a responder or nonresponder. An example data set comprising HIV-1 partial envelope sequences from six patients on highly active antiretroviral therapy is analyzed.

Algorithms↗
PubMed2003

Predicting demographic group structures based on DNA sequence data.

The ability to infer relationships between groups of sequences, either by searching for their evolutionary history or by comparing their sequence similarity, can be a crucial step in hypothesis testing. Interpreting relationships of human immunodeficiency virus type 1 (HIV-1) sequences can be challenging because of their rapidly evolving genomes, but it may also lead to a better understanding of the underlying biology. Several studies have focused on the evolution of HIV-1, but there is little information to link sequence similarities and evolutionary histories of HIV-1 to the epidemiological information of the infected individual. Our goal was to correlate patterns of HIV-1 genetic diversity with epidemiological information, including risk and demographic factors. These correlations were then used to predict epidemiological information through analyzing short stretches of HIV-1 sequence. Using standard phylogenetic and phenetic techniques on 100 HIV-1 subtype B sequences, we were able to show some correlation between the viral sequences and the geographic area of infection and the risk of men who engage in sex with men. To help identify more subtle relationships between the viral sequences, the method of multidimensional scaling (MDS) was performed. That method identified statistically significant correlations between the viral sequences and the risk factors of men who engage in sex with men and individuals who engage in sex with injection drug users or use injection drugs themselves. Using tree construction, MDS, and newly developed likelihood assignment methods on the original 100 samples we sequenced, and also on a set of blinded samples, we were able to predict demographic/risk group membership at a rate statistically better than by chance alone. Such methods may make it possible to identify viral variants belonging to specific demographic groups by examining only a small portion of the HIV-1 genome. Such predictions of demographic epidemiology based on sequence information may become valuable in assigning different treatment regimens to infected individuals.

Adolescent↗
PubMed2003

Epidemiology, genetic diversity, and evolution of endemic feline immunodeficiency virus in a population of wild cougars.

Within the large body of research on retroviruses, the distribution and evolution of endemic retroviruses in natural host populations have so far received little attention. In this study, the epidemiology, genetic diversity, and molecular evolution of feline immunodeficiency virus specific to cougars (FIVpco) was examined using blood samples collected over several years from a free-ranging cougar population in the western United States. The virus prevalence was 58% in this population (n = 52) and increased significantly with host age. Based on phylogenetic analysis of fragments of envelope (env) and polymerase (pol) genes, two genetically distinct lineages of FIVpco were found to cooccur in the population but not in the same individuals. Within each of the virus lineages, geographically nearby isolates formed monophyletic clusters of closely related viruses. Sequence diversity for env within a host rarely exceeded 1%, and the evolution of this gene was dominated by purifying selection. For both pol and env, our data indicate mean rates of molecular evolution of 1 to 3% per 10 years. These results support the premise that FIVpco is well adapted to its cougar host and provide a basis for comparing lentivirus evolution in endemic and epidemic infections in natural hosts.

Animals↗
PubMed2002

A heteroduplex method for detection of targeted sub-populations of bacterial communities.

We describe a simple method, based on heteroduplex mobility analysis of 16S rDNA fragments, for targeted detection of sub-populations of bacteria within diverse microbial communities. A small (ca. 200 bp) polymorphic fragment of the bacterial 16S rRNA gene was amplified from sample DNA using universal primers. Sample products were hybridised with a fluorescently labelled fragment amplified from a selected 'reporter' organism representing the target group. The resulting products were resolved and the labelled heteroduplex pairs detected on non-denaturing gels using automated DNA detection technology. A model, based on analysis of samples with known 16S rDNA sequences, demonstrates that heteroduplex mobility is inversely correlated with genetic distance and that beyond 26% genetic difference, heteroduplex products are not detected. The utility of the method was tested by field studies in which stream biofilms could be characterised by heteroduplex profiles generated with heterotrophic and autotrophic reporter organisms representing target groups.

Bacteria↗
PubMed2002

Estimating mutation parameters, population history and genealogy simultaneously from temporally spaced sequence data.

Molecular sequences obtained at different sampling times from populations of rapidly evolving pathogens and from ancient subfossil and fossil sources are increasingly available with modern sequencing technology. Here, we present a Bayesian statistical inference approach to the joint estimation of mutation rate and population size that incorporates the uncertainty in the genealogy of such temporally spaced sequences by using Markov chain Monte Carlo (MCMC) integration. The Kingman coalescent model is used to describe the time structure of the ancestral tree. We recover information about the unknown true ancestral coalescent tree, population size, and the overall mutation rate from temporally spaced data, that is, from nucleotide sequences gathered at different times, from different individuals, in an evolving haploid population. We briefly discuss the methodological implications and show what can be inferred, in various practically relevant states of prior knowledge. We develop extensions for exponentially growing population size and joint estimation of substitution model parameters. We illustrate some of the important features of this approach on a genealogy of HIV-1 envelope (env) partial sequences.

Decision Trees↗
PubMed2002

Selection for human immunodeficiency virus type 1 recombinants in a patient with rapid progression to AIDS.

Although human immunodeficiency virus type 1 (HIV-1) recombinants have been found with high frequency, little is known about the forces that select for these viruses or their importance to pathogenesis. Here we document the emergence and dynamics of 11 distinct HIV-1 recombinants in a man who was infected with two subtype B HIV-1 strains and progressed rapidly to AIDS without developing substantial cellular or humoral immune responses. Although numerous frequency oscillations were observed, a single recombinant lineage eventually came to dominate the population. Numerical simulations indicate that the successive recombinant forms displaced each other too rapidly to be explained by any simple model of random genetic drift or sampling variation. All of the recombinants, including several resulting from independent recombination events, possessed the same sequence motif in the V3 loop, suggesting intense selection on this segment of the viral envelope protein. The outgrowth of the predominant V3 loop recombinants was not, however, associated with changes in coreceptor utilization. The final variant was instead notable for having lost 3 of 14 potential glycosylation sites. We also observed high ratios of synonymous-to-nonsynonymous nucleotide changes-suggestive of purifying selection-in all viral populations, with particularly high ratios in newly arising recombinants. Our study, therefore, illustrates the unusual and important patterns of viral adaptation that can occur in a patient with weak immune responses. Although it is hard to tease apart cause and effect in a single patient, the correlation with disease progression in this patient suggests that recombination between divergent viruses, with its ability to create chimeras with increased fitness, can accelerate progression to AIDS.

Acquired Immunodeficiency Syndrome↗
PubMed2002

Immune-mediated positive selection drives human immunodeficiency virus type 1 molecular variation and predicts disease duration.

Using likelihood-based evolutionary methods, we demonstrate that the broad genetic diversity of human immunodeficiency virus type 1 (HIV-1) in an infected individual is a consequence of site-specific positive selection for diversity, a likely consequence of immune recognition. In particular, the extent of positive selection appears to be a good predictor of disease duration. Positively selected sites along HIV-1 partial env sequences are numerous but not distributed uniformly. In a sample of eight patients studied longitudinally, the proportion of sites per sample under positive selection was a statistically significant predictor of disease duration. Among long-term progressors, positive selection persisted at sites over time and appears to be associated with helper T-cell epitopes. In contrast, sites under positive selection shifted from one longitudinal sample to the next in short-term progressors. Our study is consistent with the hypothesis that a broad and persistent immunologic response is associated with a slower rate of disease progression. In contrast, narrow, shifting immune responses characterize short-term progressors.

Disease Progression↗