Estimating time since infection in early homogeneous HIV-1 samples using a poisson model

<p>Abstract</p> <p>Background</p> <p>The occurrence of a genetic bottleneck in HIV sexual or mother-to-infant transmission has been well documented. This results in a majority of new infections being homogeneous, <it>i.e</it>., initiated by a single genetic strain. Early after infection, prior to the onset of the host immune response, the viral population grows exponentially. In this simple setting, an approach for estimating evolutionary and demographic parameters based on comparison of diversity measures is a feasible alternative to the existing Bayesian methods (<it>e.g</it>., BEAST), which are instead based on the simulation of genealogies.</p> <p>Results</p> <p>We have devised a web tool that analyzes genetic diversity in acutely infected HIV-1 patients by comparing it to a model of neutral growth. More specifically, we consider a homogeneous infection (<it>i.e</it>., initiated by a unique genetic strain) prior to the onset of host-induced selection, where we can assume a random accumulation of mutations. Previously, we have shown that such a model successfully describes about 80% of sexual HIV-1 transmissions provided the samples are drawn early enough in the infection. Violation of the model is an indicator of either heterogeneous infections or the initiation of selection.</p> <p>Conclusions</p> <p>When the underlying assumptions of our model (homogeneous infection prior to selection and fast exponential growth) are met, we are under a very particular scenario for which we can use a forward approach (instead of backwards in time as provided by coalescent methods). This allows for more computationally efficient methods to derive the time since the most recent common ancestor. Furthermore, the tool performs statistical tests on the Hamming distance frequency distribution, and outputs summary statistics (mean of the best fitting Poisson distribution, goodness of fit p-value, etc). The tool runs within minutes and can readily accommodate the tens of thousands of sequences generated through new ultradeep pyrosequencing technologies. The tool is available on the LANL website.</p

Project ENABLE

A recording is not available for this presentation.Presentation materials are not available for this presentation.ENABLE is a multidisciplinary project funded by the NSF's National Science Digital Libraries program. The major goal of this project is to apply advances in digital library technologies to the emerging domain of bioinformatics, and develop novel interaction means that support learning based on identifying and visualizing associations among key dimensions of bioinformatics resources. Recently, an ENABLE Knowledge Base prototype has been implemented. Features of the current prototype include automatic bioinformatics resource harvesting, basic information retrieval operations, resource management, visualization and learning tools. The ENABLE Knowledge Base consists of three major components: Bioinformatics resource collection Bioinformatics resource management End user services (including a web interface for searching/browsing, a scatter-gather retrieval interface, and a SRS browser) The resource collection component automatically collects and updates information of on-line bioinformatics education resources in six categories: Learning Tools, Bioinformatics Applications, Literature, Gene, and Protein. This module generates relevant keywords for each of the collected resources by integrating a web service library called Lucas II. A bioinformatics domain is used to weigh terms within the knowledge domain and to improve the quality of term generation. The management interface allows the administrators to update URL seeds, check relevancies of collected resources, and categorize them manually, etc. Based on the collected resources, the end user services provide several educational tools for the users. A web interface is available for the users to search, browse, and access the resources. Several features have been implemented to insure accessibility, usability, and data transparency of the web site. A visualization interface based on Java Applet uses a scatter-gather algorithm to help the users find more specific resources interactively. In addition, a tool called SRS Browser is developed to support the users in discovering associations between genes and proteins. With all these tools, the ENABLE prototype offers its users a variety of perspectives to view its data and to learn bioinformatics. Future work will involve integrating these tools and services, populating more quality data in the six categories, and automating the resource categorization process

Deciphering Human Immunodeficiency Virus Type 1 Transmission and Early Envelope Diversification by Single-Genome Amplification and Sequencing▿

Accurate identification of the transmitted virus and sequences evolving from it could be instrumental in elucidating the transmission of human immunodeficiency virus type 1 (HIV-1) and in developing vaccines, drugs, or microbicides to prevent infection. Here we describe an experimental approach to analyze HIV-1 env genes as intact genetic units amplified from plasma virion RNA by single-genome amplification (SGA), followed by direct sequencing of uncloned DNA amplicons. We show that this strategy precludes in vitro artifacts caused by Taq-induced nucleotide substitutions and template switching, provides an accurate representation of the env quasispecies in vivo, and has an overall error rate (including nucleotide misincorporation, insertion, and deletion) of less than 8 × 10−5. Applying this method to the analysis of virus in plasma from 12 Zambian subjects from whom samples were obtained within 3 months of seroconversion, we show that transmitted or early founder viruses can be identified and that molecular pathways and rates of early env diversification can be defined. Specifically, we show that 8 of the 12 subjects were each infected by a single virus, while 4 others acquired more than one virus; that the rate of virus evolution in one subject during an 80-day period spanning seroconversion was 1.7 × 10−5 substitutions per site per day; and that evidence of strong immunologic selection can be seen in Env and overlapping Rev sequences based on nonrandom accumulation of nonsynonymous mutations. We also compared the results of the SGA approach with those of more-conventional bulk PCR amplification methods performed on the same patient samples and found that the latter is associated with excessive rates of Taq-induced recombination, nucleotide misincorporation, template resampling, and cloning bias. These findings indicate that HIV-1 env genes, other viral genes, and even full-length viral genomes responsible for productive clinical infection can be identified by SGA analysis of plasma virus sampled at intervals typical in large-scale vaccine trials and that pathways of viral diversification and immune escape can be determined accurately

Tracking HIV-1 recombination to resolve its contribution to HIV-1 evolution in natural infection

Recombination in HIV-1 is well documented, but its importance in the low-diversity setting of within-host diversification is less understood. Here we develop a novel computational tool (RAPR (Recombination Analysis PRogram)) to enable a detailed view of in vivo viral recombination during early infection, and we apply it to near-full-length HIV-1 genome sequences from longitudinal samples. Recombinant genomes rapidly replace transmitted/founder (T/F) lineages, with a median half-time of 27 days, increasing the genetic complexity of the viral population. We identify recombination hot and cold spots that differ from those observed in inter-subtype recombinants. Furthermore, RAPR analysis of longitudinal samples from an individual with well-characterized neutralizing antibody responses shows that recombination helps carry forward resistance-conferring mutations in the diversifying quasispecies. These findings provide insight into molecular mechanisms by which viral recombination contributes to HIV-1 persistence and immunopathogenesis and have implications for studies of HIV transmission and evolution in vivo.NIH [NIH R01AI087520]; NIH grants to the Center for HIV/AIDS Vaccine Immunology [AI067854]; enter for HIV/AIDS Vaccine Immunology and Immunogen Discovery [AI100645]; HIV/SIV Database and Analysis Unit [AAI 12007-0000-01000]; American Heart Foundation; Federal funds from the National Cancer Institute, National Institutes of Health [HHSN261200800001E]This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Identification and characterization of transmitted and early founder virus envelopes in primary HIV-1 infection

The precise identification of the HIV-1 envelope glycoprotein (Env) responsible for productive clinical infection could be instrumental in elucidating the molecular basis of HIV-1 transmission and in designing effective vaccines. Here, we developed a mathematical model of random viral evolution and, together with phylogenetic tree construction, used it to analyze 3,449 complete env sequences derived by single genome amplification from 102 subjects with acute HIV-1 (clade B) infection. Viral env genes evolving from individual transmitted or founder viruses generally exhibited a Poisson distribution of mutations and star-like phylogeny, which coalesced to an inferred consensus sequence at or near the estimated time of virus transmission. Overall, 78 of 102 subjects had evidence of productive clinical infection by a single virus, and 24 others had evidence of productive clinical infection by a minimum of two to five viruses. Phenotypic analysis of transmitted or early founder Envs revealed a consistent pattern of CCR5 dependence, masking of coreceptor binding regions, and equivalent or modestly enhanced resistance to the fusion inhibitor T1249 and broadly neutralizing antibodies compared with Envs from chronically infected subjects. Low multiplicity infection and limited viral evolution preceding peak viremia suggest a finite window of potential vulnerability of HIV-1 to vaccine-elicited immune responses, although phenotypic properties of transmitted Envs pose a formidable defense