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Novitsky, V.

Publications and source records attributed to Novitsky, V..

2 recordsLinked to original sources

Within-host rates of insertion and deletion in the HIV-1 surface envelope glycoprotein

Under selection by neutralizing antibodies, the HIV-1 envelope glycoprotein gp120 undergoes rapid evolution within hosts, particularly in regions encoding the five variable loops (V1-V5). Indel polymorphisms are abundant in these loops, where they can facilitate immune escape by modifying the length, composition and glycosylation profile of these structures. Here, we present a comparative analysis of within-host indel rates and characteristics within the variable regions of gp120. We analyzed a total of 3,437 HIV-1 gp120 sequences sampled longitudinally from 29 different individuals using coalescent models in BEAST. Next, we used Historian to reconstruct ancestral sequences from the resulting tree samples, and fit a Poisson generalized linear model to the distribution of indel events to estimate their rates in the five variable loops. Overall, the mean insertion and deletion rates were 1.6 x 10-3 and 2.5 x 10-3/ nt / year, respectively, with significant variation among loops. Insertions and deletions also followed similar length distributions, except for significantly longer indels in V1 and V4 and shorter indels in V5. Insertions in V1, V2, and V4 tended to create new N-linked glycosylation sites significantly more often than expected by chance, which is consistent with positive selection to alter glycosylation patterns.

evolutionary biology↗

Whole Genome Sequencing-based Characterization of Human Genome Variation and Mutation Burden in Botswana

The study of human genome variations can contribute towards understanding population diversity and the genetic aetiology of health-related traits. We sought to characterise human genomic variations of Botswana in order to assess diversity and elucidate mutation burden in the population using whole genome sequencing. Whole genome sequences of 390 unrelated individuals from Botswana were available for computational analysis. The sequences were mapped to the human reference genome GRCh38. Population joint variant calling was performed using Genome Analysis Tool Kit (GATK) and BCFTools. Variant characterisation was achieved by annotating the variants with a suite of databases in ANNOVAR and snpEFF. The genomic architecture of Botswana was delineated through principal component analysis, structure analysis and FST. We identified a total of 27.7 million unique variants. Variant prioritisation revealed 24 damaging variants with the most damaging variants being ACTRT2 rs3795263, HOXD12 rs200302685, ABCB5 rs111647033, ATP8B4 rs77004004 and ABCC12 rs113496237. We observed admixture of the Khoe-San, Niger-Congo and European ancestries in the population of Botswana, however population substructure was not observed. This exploration of whole genome sequences presents a comprehensive characterisation of human genomic variations in the population of Botswana and their potential in contributing to a deeper understanding of population diversity and health in Africa and the African diaspora.

genomics↗