ArticleFrontiers in microbiology2021
Updated HIV-1 Consensus Sequences Change but Stay Within Similar Distance From Worldwide Samples.
Article in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- wavess 1.2: Presenting an HLA-aware within-host virus sequence simulation framework.bioRxiv : the preprint server for biology · 2026Article
- wavess 1.2: presenting an HLA-aware within-host virus sequence simulation framework.Bioinformatics advances · 2026Article
- wavess: An R package for simulation of adaptive within-host virus sequence evolution.PLoS computational biology · 2025Article
- HIV-1 Vif global diversity and possible APOBEC-mediated response since 1980.Virus evolution · 2025Article
- Comparative Evaluation of Open-Source Bioinformatics Pipelines for Full-Length Viral Genome Assembly.Viruses · 2024Article
- Contemporary HIV-1 consensus Env with AI-assisted redesigned hypervariable loops promote antibody binding.Nature communications · 2024Article
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- Article
- How to report and make sense of a new HIV-1 circulating recombinant form?Frontiers in microbiology · 2024Article
- Genetic Diversity and Low Therapeutic Impact of Variant-Specific Markers in HIV-1 Pol Proteins.Frontiers in microbiology · 2022Article
- Generation of Optimized Consensus Sequences for Hepatitis C virus (HCV) Envelope 2 Glycoprotein (E2) by a Modified Algorithm: Implication for a Pan-genomic HCV Vaccine.Avicenna journal of medical biotechnologyArticle
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
HIV consensus sequences are used in various bioinformatic, evolutionary, and vaccine related research. Since the previous HIV-1 subtype and CRF consensus sequences were constructed in 2002, the number of publicly available HIV-1 sequences have grown exponentially, especially from non-EU and US countries. Here, we reconstruct 90 new HIV-1 subtype and CRF consensus sequences from 3,470 high-quality, representative, full genome sequences in the LANL HIV database. While subtypes and CRFs are unevenly spread across the world, in total 89 countries were represented. For consensus sequences that were based on at least 20 genomes, we found that on average 2.3% (range 0.8-10%) of the consensus genome site states changed from 2002 to 2021, of which about half were nucleotide state differences and the rest insertions and deletions. Interestingly, the 2021 consensus sequences were shorter than in 2002, and compared to 4,674 HIV-1 worldwide genome sequences, the 2021 consensuses were somewhat closer to the worldwide genome sequences, i.e., showing on average fewer nucleotide state differences. Some subtypes/CRFs have had limited geographical spread, and thus sampling of subtypes/CRFs is uneven, at least in part, due to the epidemiological dynamics. Thus, taken as a whole, the 2021 consensus sequences likely are good representations of the typical subtype/CRF genome nucleotide states. The new consensus sequences are available at the LANL HIV database.
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