Structural Features and Genetic Diversity in Gag Gene of Rare HIV-1 Subtypes from the Democratic Republic of Congo.

Type-1 HIV (HIV-1) group M (HIV-1M) genetic diversity is highest in the Congo Basin where the epidemic ignited a century ago. HIV-1M has diversified into multiple subtypes, sub-subtypes, and circulating and unique recombinant forms (CRFs/URFs). An unanswered question is why some rare subtypes never reached epidemic levels despite their age. Several studies identified the role of HIV-1M accessory genes nef and vpu in virus adaptation to human hosts and subsequent spread. Other reports also pointed out the pivotal role of gag in transmissibility, virulence, and replication capacity. In this study we characterized the HIV-1 gag gene of 148 samples collected in different localities of the Democratic Republic of the Congo (DRC) between 1997 and 2013. We used nested polymerase chain reaction (PCR) to amplify the whole gag gene. PCR products were sequenced either by Sanger method or by next generation sequencing on Illumina MiSeq or iSeq100 platforms. Generated sequences were used for subsequent analyses using different bioinformatic tools. Phylogenetic analysis of the generated sequences revealed a high genetic diversity with up to 22 different subtypes, sub-subtypes, CRFs. Up to 15% (22/148) URFs were identified, in addition to rare subtypes such as H, J, and K. At least two amino acid motifs present in the gag gene have been shown to modulate HIV-1 replication, budding, and fitness: the P(T/S)AP and the LYPXnL motifs. Structural analysis revealed the presence of P(T/S)AP in all the 148 sequences with the majority (136/148) bearing the PTAP. Three samples presented a duplication of this motif. The LYPXnL motif was identified in 38 of 148 sequences. There was no clear link between the frequency of these motifs and HIV-1M subtypes. In summary, we confirmed a high genetic diversity of HIV-1M in the DRC. We observed the presence of amino acid motifs important for viral replication and budding even in some rare HIV-1 subtypes. Their impact on viral fitness needs be further evaluated by in vitro studies.

Genomic surveillance of SARS-CoV-2 reveals highest severity and mortality of delta over other variants: evidence from Cameroon.

While the SARS-CoV-2 dynamic has been described globally, there is a lack of data from Sub-Saharan Africa. We herein report the dynamics of SARS-CoV-2 lineages from March 2020 to March 2022 in Cameroon. Of the 760 whole-genome sequences successfully generated by the national genomic surveillance network, 74% were viral sub-lineages of origin and non-variants of concern, 15% Delta, 6% Omicron, 3% Alpha and 2% Beta variants. The pandemic was driven by SARS-CoV-2 lineages of origin in wave 1 (16 weeks, 2.3% CFR), the Alpha and Beta variants in wave 2 (21 weeks, 1.6% CFR), Delta variants in wave 3 (11 weeks, 2.0% CFR), and omicron variants in wave 4 (8 weeks, 0.73% CFR), with a declining trend over time (p = 0.01208). Even though SARS-CoV-2 heterogeneity did not seemingly contribute to the breadth of transmission, the viral lineages of origin and especially the Delta variants appeared as drivers of COVID-19 severity in Cameroon.

Emergence and spread of SARS-CoV-2 lineage B.1.620 with variant of concern-like mutations and deletions.

Distinct SARS-CoV-2 lineages, discovered through various genomic surveillance initiatives, have emerged during the pandemic following unprecedented reductions in worldwide human mobility. We here describe a SARS-CoV-2 lineage - designated B.1.620 - discovered in Lithuania and carrying many mutations and deletions in the spike protein shared with widespread variants of concern (VOCs), including E484K, S477N and deletions HV69Δ, Y144Δ, and LLA241/243Δ. As well as documenting the suite of mutations this lineage carries, we also describe its potential to be resistant to neutralising antibodies, accompanying travel histories for a subset of European cases, evidence of local B.1.620 transmission in Europe with a focus on Lithuania, and significance of its prevalence in Central Africa owing to recent genome sequencing efforts there. We make a case for its likely Central African origin using advanced phylogeographic inference methodologies incorporating recorded travel histories of infected travellers.