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Updated HIV-1 Consensus Sequences Change but Stay Within Similar Distance From Worldwide Samples
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 count...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843389/ https://www.ncbi.nlm.nih.gov/pubmed/35178042 http://dx.doi.org/10.3389/fmicb.2021.828765 |
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author | Linchangco, Gregorio V. Foley, Brian Leitner, Thomas |
author_facet | Linchangco, Gregorio V. Foley, Brian Leitner, Thomas |
author_sort | Linchangco, Gregorio V. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8843389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88433892022-02-16 Updated HIV-1 Consensus Sequences Change but Stay Within Similar Distance From Worldwide Samples Linchangco, Gregorio V. Foley, Brian Leitner, Thomas Front Microbiol Microbiology 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. Frontiers Media S.A. 2022-01-31 /pmc/articles/PMC8843389/ /pubmed/35178042 http://dx.doi.org/10.3389/fmicb.2021.828765 Text en Copyright © 2022 Linchangco, Foley and Leitner. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Linchangco, Gregorio V. Foley, Brian Leitner, Thomas Updated HIV-1 Consensus Sequences Change but Stay Within Similar Distance From Worldwide Samples |
title | Updated HIV-1 Consensus Sequences Change but Stay Within Similar Distance From Worldwide Samples |
title_full | Updated HIV-1 Consensus Sequences Change but Stay Within Similar Distance From Worldwide Samples |
title_fullStr | Updated HIV-1 Consensus Sequences Change but Stay Within Similar Distance From Worldwide Samples |
title_full_unstemmed | Updated HIV-1 Consensus Sequences Change but Stay Within Similar Distance From Worldwide Samples |
title_short | Updated HIV-1 Consensus Sequences Change but Stay Within Similar Distance From Worldwide Samples |
title_sort | updated hiv-1 consensus sequences change but stay within similar distance from worldwide samples |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843389/ https://www.ncbi.nlm.nih.gov/pubmed/35178042 http://dx.doi.org/10.3389/fmicb.2021.828765 |
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