Influence of Nasopharyngeal Viral Load on the Spread of the Omicron BA.2 Variant.

We used variant typing polymerase chain reaction to describe the evolution of severe acute respiratory syndrome coronavirus 2 Omicron sublineages between December 2021 and mid-March 2022. The selective advantage of the BA.2 variant over BA.1 is not due to greater nasopharyngeal viral loads.

Whole-genome sequencing of SARS-CoV-2: Comparison of target capture and amplicon single molecule real-time sequencing protocols.

Fast, accurate sequencing methods are needed to identify new variants and genetic mutations of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome. Single-molecule real-time (SMRT) Pacific Biosciences (PacBio) provides long, highly accurate sequences by circular consensus reads. This study compares the performance of a target capture SMRT PacBio protocol for whole-genome sequencing (WGS) of SARS-CoV-2 to that of an amplicon PacBio SMRT sequencing protocol. The median genome coverage was higher (p < 0.05) with the target capture protocol (99.3% [interquartile range, IQR: 96.3-99.5]) than with the amplicon protocol (99.3% [IQR: 69.9-99.3]). The clades of 65 samples determined with both protocols were 100% concordant. After adjusting for Ct values, S gene coverage was higher with the target capture protocol than with the amplicon protocol. After stratification on Ct values, higher S gene coverage with the target capture protocol was observed only for samples with Ct > 17 (p < 0.01). PacBio SMRT sequencing protocols appear to be suitable for WGS, genotyping, and detecting mutations of SARS-CoV-2.

Whole-genome single molecule real-time sequencing of SARS-CoV-2 Omicron.

New variants and genetic mutations of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genome can only be identified using accurate sequencing methods. Single molecule real-time (SMRT) sequencing has been used to characterize Alpha and Delta variants, but not Omicron variants harboring numerous mutations in the SARS-CoV-2 genome. This study assesses the performance of a target capture SMRT sequencing protocol for whole genome sequencing (WGS) of SARS-CoV-2 Omicron variants and compared it to that of an amplicon SMRT sequencing protocol optimized for Omicron variants. The failure rate of the target capture protocol (6%) was lower than that of the amplicon protocol (34%, p < 0.001) on our data set, and the median genome coverage with the target capture protocol (98.6% [interquartile range (IQR): 86-99.4]) was greater than that with the amplicon protocol (76.6% [IQR: 66-89.6], [p < 0.001]). The percentages of samples with >95% whole genome coverage were 64% with the target capture protocol and 19% with the amplicon protocol (p < 0.05). The clades of 96 samples determined with both protocols were 93% concordant and the lineages of 59 samples were 100% concordant. Thus, target capture SMRT sequencing appears to be an efficient method for WGS, genotyping and detecting mutations of SARS-CoV-2 Omicron variants.

HIV-1 genotypic resistance testing using single molecule real-time sequencing.

BACKGROUND: HIV-1 resistance testing is recommended in clinical management and next-generation sequencing (NGS) methods are now available in many virology laboratories. OBJECTIVES: To evaluate the diagnostic performance of Long-Read Single Molecule Real-time (SMRT) sequencing (Sequel, PacBio) for HIV-1 polymerase genotyping. STUDY DESIGN: 111 prospective clinical samples (83 plasma and 28 leukocyte-enriched blood fraction) were analyzed for routine HIV-1 resistance genotyping using Sanger sequencing, Vela NGS, and SMRT sequencing. We developed a SMRT sequencing protocol and a bio-informatics pipeline to infer antiretroviral resistance on both haplotype and variant calling approaches. RESULTS: The polymerase was successfully sequenced by the three platforms in 98 % of plasma RNA samples for viral loads above 4 log copies/mL. The success rate decreased to 83 % using Sanger or Vela sequencing and to 67 % using SMRT sequencing for viral loads of 3 to 4 log copies/mL. Sensitivities of 50 %, 54 % and 61 % were obtained using SMRT, Vela, and Sanger sequencing, respectively, in cellular DNA from patients with prolonged undetectable plasma HIV-1 RNA. Ninety-eight percent of resistance-associated mutations (RAMs) identified with Sanger sequencing were detected using SMRT sequencing. Furthermore, 91 % of RAMs (> 5 % threshold) identified with Vela NGS were detected using SMRT sequencing. RAM quantification using Vela and SMRT sequencing was well correlated (Spearman correlation ρ = 0.82; P < 0.0001). CONCLUSIONS: SMRT sequencing of the full-length HIV-1 polymerase appeared performant for characterizing HIV-1 genotypic resistance on both RNA and DNA clinical samples. Long-read sequencing is a new tool for mutation haplotyping and resistance analysis.

Intact proviruses are enriched in the colon and associated with PD-1+TIGIT- mucosal CD4+ T cells of people with HIV-1 on antiretroviral therapy.

BACKGROUND: The persistence of intact replication-competent HIV-1 proviruses is responsible for the virological rebound off treatment. The gut could be a major reservoir of HIV-1 due to the high number of infected target cells. METHODS: We collected blood samples and intestinal biopsies (duodenum, ileum, colon) from 42 people with HIV-1 receiving effective antiretroviral therapy. We used the Intact Proviral DNA Assay to estimate the frequency of intact HIV-1 proviruses in the blood and in the intestinal mucosa of these individuals. We analyzed the genetic complexity of the HIV-1 reservoir by performing single-molecule next-generation sequencing of HIV-1 env DNA. The activation/exhaustion profile of mucosal T lymphocytes was assessed by flow cytometry. FINDINGS: Intact proviruses are particularly enriched in the colon. Residual HIV-1 transcription in the gut is associated with persistent mucosal and systemic immune activation. The HIV-1 intestinal reservoir appears to be shaped by the proliferation of provirus-hosting cells. The genetic complexity of the viral reservoir in the colon is positively associated with TIGIT expression but negatively with PD-1, and inversely related to its intact content. The size of the intact reservoir in the colon is associated with PD-1+TIGIT- mucosal CD4+ T cells, particularly in CD27+ memory cells, whose proliferation and survival could contribute to the enrichment of the viral reservoir by intact proviruses. INTERPRETATION: Enrichment in intact proviruses makes the gut a key compartment for HIV-1 persistence on antiretroviral therapy. FUNDING: This project was supported by grants from the ANRS-MIE (ANRS EP61 GALT), Sidaction, and the Institut Universitaire de France.

SARS-CoV-2 Co-Infections and Recombinations Identified by Long-Read Single-Molecule Real-Time Sequencing.

Co-infection with at least 2 strains of virus is the prerequisite for recombination, one of the means of genetic diversification. Little is known about the prevalence of these events in SARS-CoV-2, partly because it is difficult to detect them. We used long-read PacBio single-molecule real-time (SMRT) sequencing technology to sequence whole genomes and targeted regions for haplotyping. We identified 17 co-infections with SARS-CoV-2 strains belonging to different clades in 6829 samples sequenced between January and October, 2022 (prevalence 0.25%). There were 3 Delta/Omicron co-infections and 14 Omicron/Omicron co-infections (4 cases of 21K/21L, 1 case of 21L/22A, 2 cases of 21L/22B, 4 cases of 22A/22B, 2 cases of 22B/22C and 1 case of 22B/22E). Four of these patients (24%) also harbored recombinant minor haplotypes, including one with a recombinant virus that was selected in the viral quasispecies over the course of his chronic infection. While co-infections remain rare among SARS-CoV-2-infected individuals, long-read SMRT sequencing is a useful tool for detecting them as well as recombinant events, providing the basis for assessing their clinical impact, and a precise indicator of epidemic evolution. IMPORTANCE SARS-CoV-2 variants have been responsible for the successive waves of infection over the 3 years of pandemic. While co-infection followed by recombination is one driver of virus evolution, there have been few reports of co-infections, mainly between Delta and Omicron variants or between the first 2 Omicron variants 21K_BA.1 and 21L_BA.2. The 17 co-infections we detected during 2022 included cases with the recent clades of Omicron 22A, 22B, 22C, and 22E; 24% harbored recombinant variants. This study shows that long-read SMRT sequencing is well suited to SARS-CoV-2 genomic surveillance.

Evidence of co-infections during Delta and Omicron SARS-CoV-2 variants co-circulation through prospective screening and sequencing.

OBJECTIVES: To describe Delta/Omicron SARS-CoV-2 variants co-infection detection and confirmation during the fifth wave of COVID-19 pandemics in France in 7 immunocompetent and epidemiologically unrelated patients. METHODS: Since December 2021, the surveillance of Delta/Omicron SARS-CoV-2 variants of concern (VOC) circulation was performed through prospective screening of positive-samples using single nucleotide polymorphism (SNP) PCR assays targeting SARS-CoV-2 S-gene mutations K417N (Omicron specific) and L452R (Delta specific). Samples showing unexpected mutational profiles were further submitted to whole genome sequencing (WGS) using three different primer sets. RESULTS: Between weeks 49-2021 and 02-2022, SARS-CoV-2 genome was detected in 3831 respiratory samples, of which 3237 (84.5%) were screened for VOC specific SNPs. Unexpected mutation profiles suggesting a dual Delta/Omicron population were observed in 7 nasopharyngeal samples (0.2%). These co-infections were confirmed by WGS. For 2 patients, the sequence analyses of longitudinal samples collected 7 to 11 days apart showed that Delta or Omicron can outcompete the other variant during dual infection. Additionally, for one of these samples, a recombination event between Delta and Omicron was detected. CONCLUSIONS: This work demonstrates that SARS-CoV-2 Delta/Omicron co-infections are not rare in high virus co-circulation periods. Moreover, co-infections can further lead to genetic recombination which may generate new chimeric variants with unpredictable epidemic or pathogenic properties that could represent a serious health threat.

Prediction of SARS-CoV-2 Variant Lineages Using the S1-Encoding Region Sequence Obtained by PacBio Single-Molecule Real-Time Sequencing.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is the causal agent of the COVID-19 pandemic that emerged in late 2019. The outbreak of variants with mutations in the region encoding the spike protein S1 sub-unit that can make them more resistant to neutralizing or monoclonal antibodies is the main point of the current monitoring. This study examines the feasibility of predicting the variant lineage and monitoring the appearance of reported mutations by sequencing only the region encoding the S1 domain by Pacific Bioscience Single Molecule Real-Time sequencing (PacBio SMRT). Using the PacBio SMRT system, we successfully sequenced 186 of the 200 samples previously sequenced with the Illumina COVIDSeq (whole genome) system. PacBio SMRT detected mutations in the S1 domain that were missed by the COVIDseq system in 27/186 samples (14.5%), due to amplification failure. These missing positions included mutations that are decisive for lineage assignation, such as G142D (n = 11), N501Y (n = 6), or E484K (n = 2). The lineage of 172/186 (92.5%) samples was accurately determined by analyzing the region encoding the S1 domain with a pipeline that uses key positions in S1. Thus, the PacBio SMRT protocol is appropriate for determining virus lineages and detecting key mutations.

Hepatitis E Virus Quasispecies in Cerebrospinal Fluid with Neurological Manifestations.

Hepatitis E virus (HEV) infection can lead to a variety of neurological disorders. While HEV RNA is known to be present in the central nervous system, HEV quasispecies in serum and cerebrospinal fluid (CSF) have rarely been explored. We studied the virus' quasispecies in the blood and the CSF of five patients at the onset of their neurological symptoms. The samples of three patients suffering from meningitis, neuralgic amyotrophy and acute inflammatory polyradiculoneuropathy were taken at the acute phase of the HEV infection. The samples from the other two patients were taken during the chronic phase (5 years after HEV diagnosis) when they presented with clinical signs of encephalitis. We sequenced at least 20 randomly polyproline regions of the selected virus clones. Phylogenetic analysis of the virus variants in the blood and the CSF revealed no virus compartmentalization for the three acute-phase patients but there was clear evidence of HEV quasispecies compartmentalization in the CSF of the two patients during chronic infection. In conclusion, prolonged infection in the immunocompromised condition can lead to independent virus replication in the liver and the tissues, producing viruses in CSF.

Influence of SARS-CoV-2 Variant B.1.1.7, Vaccination, and Public Health Measures on the Spread of SARS-CoV-2.

The spread of SARS-CoV-2 and the resulting disease COVID-19 has killed over 2.6 million people as of 18 March 2021. We have used a modified susceptible, infected, recovered (SIR) epidemiological model to predict how the spread of the virus in regions of France will vary depending on the proportions of variants and on the public health strategies adopted, including anti-COVID-19 vaccination. The proportion of SARS-CoV-2 variant B.1.1.7, which was not detected in early January, increased to become 60% of the forms of SARS-CoV-2 circulating in the Toulouse urban area at the beginning of February 2021, but there was no increase in positive nucleic acid tests. Our prediction model indicates that maintaining public health measures and accelerating vaccination are efficient strategies for the sustained control of SARS-CoV-2.

J-Domain Proteins in Bacteria and Their Viruses.

Molecular chaperones maintain cellular protein homeostasis by acting at almost every step in protein biogenesis pathways. The DnaK/HSP70 chaperone has been associated with almost every known essential chaperone functions in bacteria. To act as a bona fide chaperone, DnaK strictly relies on essential co-chaperone partners known as the J-domain proteins (JDPs, DnaJ, Hsp40), which preselect substrate proteins for DnaK, confer its specific cellular localization, and stimulate both its weak ATPase activity and substrate transfer. Remarkably, genome sequencing has revealed the presence of multiple JDP/DnaK chaperone/co-chaperone pairs in a number of bacterial genomes, suggesting that certain pairs have evolved toward more specific functions. In this review, we have used representative sets of bacterial and phage genomes to explore the distribution of JDP/DnaK pairs. Such analysis has revealed an unexpected reservoir of novel bacterial JDPs co-chaperones with very diverse and unexplored function that will be discussed.

The SARS-CoV-2 seroprevalence is the key factor for deconfinement in France.

A new virus, SARS-CoV-2, has spread world-wide since December 2019, probably affecting millions of people and killing thousands. Failure to anticipate the spread of the virus now seriously threatens many health systems. We have designed a model for predicting the evolution of the SARS-CoV-2 epidemic in France, which is based on seroprevalence and makes it possible to anticipate the deconfinement strategy.

Classification of the Zoonotic Hepatitis E Virus Genotype 3 Into Distinct Subgenotypes.

Hepatitis E virus (HEV) genotype 3 is the most common genotype linked to HEV infections in Europe and America. Three major clades (HEV-3.1, HEV-3.2, and HEV-3.3) have been identified but the overlaps between intra-subtype and inter-subtype p-distances make subtype classification inconsistent. Reference sequences have been proposed to facilitate communication between researchers and new putative subtypes have been identified recently. We have used the full or near full-length HEV-3 genome sequences available in the Genbank database (April 2020; n = 503) and distance analyses of clades HEV-3.1 and HEV-3.2 to determine a p-distance cut-off (0.093 nt substitutions/site) in order to define subtypes. This could help to harmonize HEV-3 genotyping, facilitate molecular epidemiology studies and investigations of the biological and clinical differences between HEV-3 subtypes.