June 1, 2021  |  

Complete HIV-1 genomes from single molecules: Diversity estimates in two linked transmission pairs using clustering and mutual information.

We sequenced complete HIV-1 genomes from single molecules using Single Molecule, Real- Time (SMRT) Sequencing and derive de novo full-length genome sequences. SMRT sequencing yields long-read sequencing results from individual DNA molecules with a rapid time-to-result. These attributes make it a useful tool for continuous monitoring of viral populations. The single-molecule nature of the sequencing method allows us to estimate variant subspecies and relative abundances by counting methods. We detail mathematical techniques used in viral variant subspecies identification including clustering distance metrics and mutual information. Sequencing was performed in order to better understand the relationships between the specific sequences of transmitted viruses in linked transmission pairs. Samples representing HIV transmission pairs were selected from the Zambia Emory HIV Research Project (Lusaka, Zambia) and sequenced. We examine Single Genome Amplification (SGA) prepped samples and samples containing complex mixtures of genomes. Whole genome consensus estimates for each of the samples were made. Genome reads were clustered using a simple distance metric on aligned reads. Appropriate thresholds were chosen to yield distinct clusters of HIV genomes within samples. Mutual information between columns in the genome alignments was used to measure dependence. In silico mixtures of reads from the SGA samples were made to simulate samples containing exactly controlled complex mixtures of genomes and our clustering methods were applied to these complex mixtures. SMRT Sequencing data contained multiple full-length (greater than 9 kb) continuous reads for each sample. Simple whole genome consensus estimates easily identified transmission pairs. The clustering of the genome reads showed diversity differences between the samples, allowing us to characterize the diversity of the individual quasi-species comprising the patient viral populations across the full genome. Mutual information identified possible dependencies of different positions across the full HIV-1 genome. The SGA consensus genomes agreed with prior Sanger sequencing. Our clustering methods correctly segregated reads to their correct originating genome for the synthetic SGA mixtures. The results open up the potential for reference-agnostic and cost effective full genome sequencing of HIV-1.


June 1, 2021  |  

Rapid sequencing of HIV-1 genomes as single molecules from simple and complex samples.

Background: To better understand the relationships among HIV-1 viruses in linked transmission pairs, we sequenced several samples representing HIV transmission pairs from the Zambia Emory HIV Research Project (Lusaka, Zambia) using Single Molecule, Real-Time (SMRT) Sequencing. Methods: Single molecules were sequenced as full-length (9.6 kb) amplicons directly from PCR products without shearing. This resulted in multiple, fully-phased, complete HIV-1 genomes for each patient. We examined Single Genome Amplification (SGA) prepped samples, as well as samples containing complex mixtures of genomes. We detail mathematical techniques used in viral variant subspecies identification, including clustering distance metrics and mutual information, which were used to derive multiple de novo full-length genome sequences for each patient. Whole genome consensus estimates for each sample were made. Genome reads were clustered using a simple distance metric on aligned reads. Appropriate thresholds were chosen to yield distinct clusters of HIV-1 genomes within samples. Mutual information between columns in the genome alignments was used to measure dependence. In silico mixtures of reads from the SGA samples were made to simulate samples containing exactly controlled complex mixtures of genomes and our clustering methods were applied to these complex mixtures. Results: SMRT Sequencing data contained multiple full-length (>9 kb) continuous reads for each sample. Simple whole-genome consensus estimates easily identified transmission pairs. Clustering of genome reads showed diversity differences between samples, allowing characterization of the quasi-species diversity comprising the patient viral populations across the full genome. Mutual information identified possible dependencies of different positions across the full HIV-1 genome. The SGA consensus genomes agreed with prior Sanger sequencing. Our clustering methods correctly segregated reads to their correct originating genome for the synthetic SGA mixtures. Conclusions: SMRT Sequencing yields long-read sequencing results from individual DNA molecules with a rapid time-to-result. These attributes make it a useful tool for continuous monitoring of viral populations. The single-molecule nature of the sequencing method allows us to estimate variant subspecies and relative abundances by counting methods. The results open up the potential for reference-agnostic and cost effective full genome sequencing of HIV-1.


June 1, 2021  |  

Characterization of NNRTI mutations in HIV-1 RT using Single Molecule, Real-Time SMRT Sequencing.

Background: Genotypic testing of chronic viral infections is an important part of patient therapy and requires assays capable of detecting the entire spectrum of viral mutations. Single Molecule, Real-Time (SMRT) sequencing offers several advantages to other sequencing technologies, including superior resolution of mixed populations and long read lengths capable of spanning entire viral protein coding regions. We examined detection sensitivity of SMRT sequencing using a mixture of HIV-1 RT gene coding regions containing single NNRTI mutations. Methodology: SMRTbell templates were prepared from PCR products generated from a prospective reference material being developed by BC Center of Excellence for HIV/AIDS, and contained a mixture of fifteen infectious viruses containing single NNRTI resistance mutations (viz V90I, K101E, K103N, V108I, E138A/G/K/Q, V179D, Y181C, Y188C, G190A/S, M230L and P236L) built upon the HIV-1LAI molecular clone. Templates were sequenced on the PacBio RS II to obtain single molecule long reads using P4/C2 chemistry, using 180 minute movie collection without stage start. The relative abundances of the mutant viruses were then estimated using codon-aware analysis methods. Results: Sequencing of these templates produced average read lengths of 5.0 KB, comprising 40,000-fold coverage across the entire amplicon per SMRT Cell. All the expected mutations in the mixture of mutant viruses were accurately identified. Frequencies of NNRTI variants estimated ranged from 0.5% to 12.5%. Conclusions: Codon analysis revealed a number of variants across the amplicon with highly consistent results across SMRT Cells. From a single SMRT Cell, variants were accurately and reliably detected down to 0.5% with simple analyses. Long polymerase reads and high accuracy reads make it possible to call variants from just a few molecules. SMRT Sequencing can identify species comprising a mixed viral population, with granularity and low cost of consumables allowing for smaller multiplexing of samples and first-in-first-out processing.


June 1, 2021  |  

Full-length HIV-1 env deep sequencing in a donor with broadly neutralizing V1/V2 antibodies.

Background: Understanding the co-evolution of HIV populations and broadly neutralizing antibodies (bNAbs) may inform vaccine design. Novel long-read, next-generation sequencing methods allow, for the first time, full-length deep sequencing of HIV env populations. Methods: We longitudinally examined HIV-1 env populations (12 time points) in a subtype A infected individual from the IAVI primary infection cohort (Protocol C) who developed bNAbs (62% ID50>50 on a diverse panel of 105 viruses) targeting the V1/V2 loop region. We developed a PacBio single molecule, real-time sequencing protocol to deeply sequence full-length env from HIV RNA. Bioinformatics tools were developed to align env sequences, infer phylogenies, and interrogate escape dynamics of key residues and glycosylation sites. PacBio env sequences were compared to env sequences generated through amplification and cloning. Env dynamics and viral escape motif evolution were interpreted in the context of the development V1/V2-targeting broadly neutralizing antibodies. Results: We collected a median of 6799 (range: 1770-14727) high quality full-length HIV env circular consensus sequences (CCS) per SMRT Cell, per time point. Using only CCS reads comprised of 6 or more passes over the HIV env insert (= 16 kb read length) ensured that our median per-base accuracy was 99.7%. A phylogeny inferred with PacBio and 100 cloned env sequences (10 time points) found the cloned sequences evenly distributed among PacBio sequences. Viral escape from the V1/V2 targeted bNAbs was evident at V2 positions 160, 166, 167, 169 and 181 (HxB2 numbering), exhibiting several distinct escape pathways by 40 months post-infection. Conclusions: Our PacBio full-length env sequencing method allowed unprecedented view and ability to characterize HIV-1 env dynamics throughout the first four years of infection. Longitudinal full-length env deep sequencing allows accurate phylogenetic inference, provides a detailed picture of escape dynamics in epitope regions, and can identify minority variants, all of which will prove critical for increasing our understanding of how env evolution drives the development of antibody breadth.


June 1, 2021  |  

Full-length env deep sequencing in a donor with broadly neutralizing V1/V2 antibodies.

Background: Understanding the co-evolution of HIV populations and broadly neutralizing antibody (bNAb) lineages may inform vaccine design. Novel long-read, next-generation sequencing methods allow, for the first time, full-length deep sequencing of HIV env populations. Methods: We longitudinally examined env populations (12 time points) in a subtype A infected individual from the IAVI primary infection cohort (Protocol C) who developed bNAbs (62% ID50>50 on a diverse panel of 105 viruses) targeting the V1/V2 region. We developed a Pacific Biosciences single molecule, real-time sequencing protocol to deeply sequence full-length env from HIV RNA. Bioinformatics tools were developed to align env sequences, infer phylogenies, and interrogate escape dynamics of key residues and glycosylation sites. PacBio env sequences were compared to env sequences generated through amplification and cloning. Env dynamics were interpreted in the context of the development of a V1/V2-targeting bNAb lineage isolated from the donor. Results: We collected a median of 6799 high quality full-length env sequences per timepoint (median per-base accuracy of 99.7%). A phylogeny inferred with PacBio and 100 cloned env sequences (10 time points) found cloned env sequences evenly distributed among PacBio sequences. Phylogenetic analyses also revealed a potential transient intra-clade superinfection visible as a minority variant (~5%) at 9 months post-infection (MPI), and peaking in prevalence at 12MPI (~64%), just preceding the development of heterologous neutralization. Viral escape from the bNAb lineage was evident at V2 positions 160, 166, 167, 169 and 181 (HxB2 numbering), exhibiting several distinct escape pathways by 40MPI. Conclusions: Our PacBio full-length env sequencing method allowed unprecedented characterization of env dynamics and revealed an intra-clade superinfection that was not detected through conventional methods. The importance of superinfection in the development of this donor’s V1/V2-directed bNAb lineage is under investigation. Longitudinal full-length env deep sequencing allows accurate phylogenetic inference, provides a detailed picture of escape dynamics in epitope regions, and can identify minority variants, all of which may prove useful for understanding how env evolution can drive the development of antibody breadth.


June 1, 2021  |  

Long-read assembly of the Aedes aegypti Aag2 cell line genome resolves ancient endogenous viral elements

Transmission of arboviruses such as Dengue Virus by Aedes aegypti causes debilitating disease across the globe. Disease in humans can include severe acute symptoms such as hemorrhagic fever and organ failure, but mosquitoes tolerate high titers of virus in a persistent infection. The mechanisms responsible for this viral tolerance are unclear. Recent publications highlighted the integration of genetic material from non-retroviral RNA viruses into the genome of the host during infection that relies upon endogenous retro-transcriptase activity from transposons. These endogenous viral elements (EVEs) found in the genome are predicted to be ancient, and at least some EVEs are under purifying selection, suggesting they are beneficial to the host. To characterize EVE biogenesis in a tractable system, we sequenced the Ae. aegypti cell line, Aag2, to 58-fold coverage and present a de novo assembly of the genome. The assembly contains 1.7 Gb of genomic and 255 Mb of alternative haplotype specific sequence, consisting of contigs with a N50 of 1.4 Mb; a value that, when compared with other assemblies of the Aedes genus, is from 1-3 orders of magnitude longer. The Aag2 genome is highly repetitive (70%), most of which is classified as transposable elements (60%). We identify EVEs in the genome homologous to a range of extant viruses, many of which cluster in these regions of repetitive DNA. The contiguous assembly allows for more comprehensive identification of the transposable elements and EVEs that are most likely to be lost in assemblies lacking the read length of SMRT Sequencing.


June 1, 2021  |  

Long-read assembly of the Aedes aegypti Aag2 cell line genome resolves ancient endogenous viral elements

Transmission of arboviruses such as Dengue and Zika viruses by Aedes aegypti causes widespread and debilitating disease across the globe. Disease in humans can include severe acute symptoms such as hemorrhagic fever, organ failure, and encephalitis; and yet, mosquitoes tolerate high titers of virus in a persistent infection. The mechanisms responsible for tolerance to viral infection in mosquitoes are still unclear. Recent publications have highlighted the integration of genetic material from non-retroviral RNA viruses into the genome of the host during infection that relies upon endogenous retro-transcriptase activity from transposons. These endogenous viral elements (EVEs) found in the genome are predicted to be ancient and at least some EVEs are under purifying selection, which suggests that they are beneficial to the host. In order characterize EVE biogenesis in a tractable system we sequenced the Ae. aegypti cell line, Aag2, to 58X coverage and here present a de novo assembly of the genome. The assembly consists of 1.7 Gb of genomic and 255 Mb of alternative haplotype specific sequence, made up of contigs with a N50 of 1.4 Mb; a value that, when compared with other assemblies of the Aedes genus, is from 1-3 orders of magnitude longer. The Aag2 genome is highly repetitive (70%), most of which is classified as transposable elements (60%). We identify a plethora of EVEs in the genome homologous to a diverse range of extant viruses, many of which cluster in these regions of highly repetitive DNA. The highly contiguous nature of this assembly allows for a more comprehensive identification of the transposable elements and EVEs that are most likely to be lost in assemblies lacking the read length of SMRT Sequencing. Transmission of arboviruses such as Dengue Virus by Aedes aegypti causes widespread and debilitating disease across the globe. Disease in humans can include severe acute symptoms such as hemorrhagic fever, organ failure, and encephalitis; and yet, mosquitoes tolerate high titers of virus in a persistent infection. The mechanisms responsible for tolerance to viral infection in mosquitoes are still unclear. Recent publications have highlighted the integration of genetic material from non-retroviral RNA viruses into the genome of the host during infection that relies upon endogenous retro-transcriptase activity from transposons. These endogenous viral elements (EVEs) found in the genome are predicted to be ancient and at least some EVEs are under purifying selection, which suggests that they are beneficial to the host. In order characterize EVE biogenesis in a tractable system we sequenced the Ae. aegypti cell line, Aag2, to 58X coverage and here present a de novo assembly of the genome. The assembly consists of 1.7 Gb of genomic and 255 Mb of alternative haplotype specific sequence, made up of contigs with a N50 of 1.4 Mb; a value that, when compared with other assemblies of the Aedes genus, is from 1-3 orders of magnitude longer. The Aag2 genome is highly repetitive (70%), most of which is classified as transposable elements (60%). We identify a plethora of EVEs in the genome homologous to a diverse range of extant viruses, many of which cluster in these regions of highly repetitive DNA. The highly contiguous nature of this assembly allows for a more comprehensive identification of the transposable elements and EVEs that are most likely to be lost in assemblies lacking the read length of SMRT Sequencing. Transmission of arboviruses such as Dengue Virus by Aedes aegypti causes widespread and debilitating disease across the globe. Disease in humans can include severe acute symptoms such as hemorrhagic fever, organ failure, and encephalitis; and yet, mosquitoes tolerate high titers of virus in a persistent infection. The mechanisms responsible for tolerance to viral infection in mosquitoes are still unclear.


February 5, 2021  |  

Movie: The new biology part II – cancer

Part II of The New Biology documentary. This documentary film features the wave of cutting-edge technologies that now provide the opportunity to create predictive models of living systems, and gain…


February 5, 2021  |  

Video: Overview of SMRT technology

PacBio’s SMRT technology harnesses the natural process of DNA replication, which is a highly efficient and accurate process. Our SMRT technology enables the observation of DNA synthesis as it occurs…


February 5, 2021  |  

AGBT PacBio Workshop: Full workshop recording

PacBio customers and thought leaders discuss the role SMRT sequencing is playing in comprehensive genomics: past, present, and future. Featuring J. Craig Venter, Gene Myers, Deanna Church, Jeong-Sun Seo and…


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