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High recombination potential of subtype A HIV-1.

ABSTRACT: Recombination can assort polymorphic alleles to increase diversity in the HIV-1 population. To better understand the recombination potential of subtype A HIV-1, we generated viruses containing sequences from two variants circulating in Russia and analyzed the polymerase gene (pol) of the recombinants after one round of HIV-1 replication using single-genome sequencing. We observed that recombination occurred throughout pol and could easily assort alleles containing mutations that conferred resistance to currently approved antivirals. We measured the recombination rate in various regions of pol including a G-rich region that has been previously proposed to be a recombination hot spot. Our study does not support a recombination hot spot in this G-rich region. Importantly, of the 58 proviral sequences containing crossover event(s) in pol, we found that each sequence was a unique genotype indicating that recombination is a powerful genetic mechanism in assorting the genomes of subtype A HIV-1 variants.

SUBMITTER: Nikolaitchik O

PROVIDER: S-EPMC6258064 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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High recombination potential of subtype A HIV-1.

Nikolaitchik Olga O Keele Brandon B Gorelick Robert R Alvord W Gregory WG Mazurov Dmitriy D Pathak Vinay K VK Hu Wei-Shau WS

Virology 20150709

Recombination can assort polymorphic alleles to increase diversity in the HIV-1 population. To better understand the recombination potential of subtype A HIV-1, we generated viruses containing sequences from two variants circulating in Russia and analyzed the polymerase gene (pol) of the recombinants after one round of HIV-1 replication using single-genome sequencing. We observed that recombination occurred throughout pol and could easily assort alleles containing mutations that conferred resist ...[more]

PMID: 26164392

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Project description:High-throughput sequencing (HTS) has been widely used to characterize HIV-1 genome sequences. There are no algorithms currently that can directly determine genotype and quasispecies population using short HTS reads generated from long genome sequences without additional software. To establish a robust subpopulation, subtype, and recombination analysis workflow, we amplified the HIV-1 3'-half genome from plasma samples of 65 HIV-1-infected individuals and sequenced the entire amplicon (∼4,500 bp) by HTS. With direct analysis of raw reads using HIVE-hexahedron, we showed that 48% of samples harbored 2 to 13 subpopulations. We identified various subtypes (17 A1s, 4 Bs, 27 Cs, 6 CRF02_AGs, and 11 unique recombinant forms) and defined recombinant breakpoints of 10 recombinants. These results were validated with viral genome sequences generated by single genome sequencing (SGS) or the analysis of consensus sequence of the HTS reads. The HIVE-hexahedron workflow is more sensitive and accurate than just evaluating the consensus sequence and also more cost-effective than SGS.IMPORTANCE The highly recombinogenic nature of human immunodeficiency virus type 1 (HIV-1) leads to recombination and emergence of quasispecies. It is important to reliably identify subpopulations to understand the complexity of a viral population for drug resistance surveillance and vaccine development. High-throughput sequencing (HTS) provides improved resolution over Sanger sequencing for the analysis of heterogeneous viral subpopulations. However, current methods of analysis of HTS reads are unable to fully address accurate population reconstruction. Hence, there is a dire need for a more sensitive, accurate, user-friendly, and cost-effective method to analyze viral quasispecies. For this purpose, we have improved the HIVE-hexahedron algorithm that we previously developed with in silico short sequences to analyze raw HTS short reads. The significance of this study is that our standalone algorithm enables a streamlined analysis of quasispecies, subtype, and recombination patterns from long HIV-1 genome regions without the need of additional sequence analysis tools. Distinct viral populations and recombination patterns identified by HIVE-hexahedron are further validated by comparison with sequences obtained by single genome sequencing (SGS).

Project description:BackgroundWith increasing data on HIV-1, a more relevant molecular model describing mechanism details of HIV-1 genetic recombination usually requires upgrades. Currently an incomplete structural understanding of the copy choice mechanism along with several other issues in the field that lack elucidation led us to perform an analysis of the correlation between breakpoint distributions and (1) the probability of base pairing, and (2) intersubtype genetic similarity to further explore structural mechanisms.MethodsNear full length sequences of URFs from Asia, Europe, and Africa (one sequence/patient), and representative sequences of worldwide CRFs were retrieved from the Los Alamos HIV database. Their recombination patterns were analyzed by jpHMM in detail. Then the relationships between breakpoint distributions and (1) the probability of base pairing, and (2) intersubtype genetic similarities were investigated.ResultsPearson correlation test showed that all URF groups and the CRF group exhibit the same breakpoint distribution pattern. Additionally, the Wilcoxon two-sample test indicated a significant and inexplicable limitation of recombination in regions with high pairing probability. These regions have been found to be strongly conserved across distinct biological states (i.e., strong intersubtype similarity), and genetic similarity has been determined to be a very important factor promoting recombination. Thus, the results revealed an unexpected disagreement between intersubtype similarity and breakpoint distribution, which were further confirmed by genetic similarity analysis. Our analysis reveals a critical conflict between results from natural HIV-1 isolates and those from HIV-1-based assay vectors in which genetic similarity has been shown to be a very critical factor promoting recombination.ConclusionsThese results indicate the region with high-pairing probabilities may be a more fundamental factor affecting HIV-1 recombination than sequence similarity in natural HIV-1 infections. Our findings will be relevant in furthering the understanding of HIV-1 recombination mechanisms.

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High recombination potential of subtype A HIV-1.

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High recombination potential of subtype A HIV-1.

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