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Kim S, Kigozi G, Martin MA, Galiwango RM, Quinn TC, Redd AD, Ssekubugu R, Bonsall D, Ssemwanga D, Rambaut A, Herbeck JT, Reynolds SJ, Foley B, Abeler-Dörner L, Fraser C, Ratmann O, Kagaayi J, Laeyendecker O, Grabowski MK. Increasing intra- and inter-subtype HIV diversity despite declining HIV incidence in Uganda. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.14.24303990. [PMID: 38558994 PMCID: PMC10980117 DOI: 10.1101/2024.03.14.24303990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
HIV incidence has been declining in Africa with scale-up of HIV interventions. However, there is limited data on HIV evolutionary trends in African populations with waning epidemics. We evaluated changes in HIV viral diversity and genetic divergence in southern Uganda over a twenty-five-year period spanning the introduction and scale-up of HIV prevention and treatment programs using HIV sequence and survey data from the Rakai Community Cohort Study, an open longitudinal population-based HIV surveillance cohort. Gag (p24) and env (gp41) HIV data were generated from persons living with HIV (PLHIV) in 31 inland semi-urban trading and agrarian communities (1994 to 2018) and four hyperendemic Lake Victoria fishing communities (2011 to 2018) under continuous surveillance. HIV subtype was assigned using the Recombination Identification Program with phylogenetic confirmation. Inter-subtype diversity was estimated using the Shannon diversity index and intra-subtype diversity with the nucleotide diversity and pairwise TN93 genetic distance. Genetic divergence was measured using root-to-tip distance and pairwise TN93 genetic distance analyses. Evolutionary dynamics were assessed among demographic and behavioral sub-groups, including by migration status. 9,931 HIV sequences were available from 4,999 PLHIV, including 3,060 and 1,939 persons residing in inland and fishing communities, respectively. In inland communities, subtype A1 viruses proportionately increased from 14.3% in 1995 to 25.9% in 2017 (p<0.001), while those of subtype D declined from 73.2% in 1995 to 28.2% in 2017 (p<0.001). The proportion of viruses classified as recombinants significantly increased by more than four-fold. Inter-subtype HIV diversity has generally increased. While p24 intra-subtype genetic diversity and divergence leveled off after 2014, diversity and divergence of gp41 increased through 2017. Inter- and intra-subtype viral diversity increased across all population sub-groups, including among individuals with no recent migration history or extra-community sexual partners. This study provides insights into population-level HIV evolutionary dynamics in declining African HIV epidemics following the scale-up of HIV prevention and treatment programs. Continued molecular surveillance may provide a better understanding of the dynamics driving population HIV evolution and yield important insights for epidemic control and vaccine development.
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Affiliation(s)
- Seungwon Kim
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | | | - Michael A. Martin
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | | | - Thomas C. Quinn
- Rakai Health Sciences Program, Kalisizo, Uganda
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Andrew D. Redd
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
- Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | | | - David Bonsall
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Deogratius Ssemwanga
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe, Uganda
- Uganda Virus Research Institute, Entebbe, Uganda
| | - Andrew Rambaut
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK
| | - Joshua T. Herbeck
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Steven J. Reynolds
- Rakai Health Sciences Program, Kalisizo, Uganda
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Brian Foley
- Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, USA
| | - Lucie Abeler-Dörner
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Pandemic Sciences Institute, University of Oxford, Oxford, UK
| | - Christophe Fraser
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Pandemic Sciences Institute, University of Oxford, Oxford, UK
| | - Oliver Ratmann
- Department of Mathematics, Imperial College London, London, England, United Kingdom
| | - Joseph Kagaayi
- Rakai Health Sciences Program, Kalisizo, Uganda
- Makerere University School of Public Health, Kampala, Uganda
| | - Oliver Laeyendecker
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - M. Kate Grabowski
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
- Rakai Health Sciences Program, Kalisizo, Uganda
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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W B Jr M, A S R, P M, F B. Cellular and Natural Viral Engineering in Cognition-Based Evolution. Commun Integr Biol 2023; 16:2196145. [PMID: 37153718 PMCID: PMC10155641 DOI: 10.1080/19420889.2023.2196145] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/10/2023] Open
Abstract
Neo-Darwinism conceptualizes evolution as the continuous succession of predominately random genetic variations disciplined by natural selection. In that frame, the primary interaction between cells and the virome is relegated to host-parasite dynamics governed by selective influences. Cognition-Based Evolution regards biological and evolutionary development as a reciprocating cognition-based informational interactome for the protection of self-referential cells. To sustain cellular homeorhesis, cognitive cells collaborate to assess the validity of ambiguous biological information. That collective interaction involves coordinate measurement, communication, and active deployment of resources as Natural Cellular Engineering. These coordinated activities drive multicellularity, biological development, and evolutionary change. The virome participates as the vital intercessory among the cellular domains to ensure their shared permanent perpetuation. The interactions between the virome and the cellular domains represent active virocellular cross-communications for the continual exchange of resources. Modular genetic transfers between viruses and cells carry bioactive potentials. Those exchanges are deployed as nonrandom flexible tools among the domains in their continuous confrontation with environmental stresses. This alternative framework fundamentally shifts our perspective on viral-cellular interactions, strengthening established principles of viral symbiogenesis. Pathogenesis can now be properly appraised as one expression of a range of outcomes between cells and viruses within a larger conceptual framework of Natural Viral Engineering as a co-engineering participant with cells. It is proposed that Natural Viral Engineering should be viewed as a co-existent facet of Natural Cellular Engineering within Cognition-Based Evolution.
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Affiliation(s)
- Miller W B Jr
- Banner Health Systems - Medicine, Paradise Valley, Arizona, AZ, USA
- CONTACT Miller W B Jr Paradise Valley, Arizona, AZ85253, USA
| | - Reber A S
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Marshall P
- Department of Engineering, Evolution 2.0, Oak Park, IL, USA
| | - Baluška F
- Institute of Cellular and Molecular Botany, University of Bonn, Bonn, Germany
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Grant HE, Roy S, Williams R, Tutill H, Ferns B, Cane PA, Carswell JW, Ssemwanga D, Kaleebu P, Breuer J, Leigh Brown AJ. A large population sample of African HIV genomes from the 1980s reveals a reduction in subtype D over time associated with propensity for CXCR4 tropism. Retrovirology 2022; 19:28. [PMID: 36514107 PMCID: PMC9746199 DOI: 10.1186/s12977-022-00612-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 11/12/2022] [Indexed: 12/15/2022] Open
Abstract
We present 109 near full-length HIV genomes amplified from blood serum samples obtained during early 1986 from across Uganda, which to our knowledge is the earliest and largest population sample from the initial phase of the HIV epidemic in Africa. Consensus sequences were made from paired-end Illumina reads with a target-capture approach to amplify HIV material following poor success with standard approaches. In comparisons with a smaller 'intermediate' genome dataset from 1998 to 1999 and a 'modern' genome dataset from 2007 to 2016, the proportion of subtype D was significantly higher initially, dropping from 67% (73/109), to 57% (26/46) to 17% (82/465) respectively (p < 0.0001). Subtype D has previously been shown to have a faster rate of disease progression than other subtypes in East African population studies, and to have a higher propensity to use the CXCR4 co-receptor ("X4 tropism"); associated with a decrease in time to AIDS. Here we find significant differences in predicted tropism between A1 and D subtypes in all three sample periods considered, which is particularly striking the 1986 sample: 66% (53/80) of subtype D env sequences were predicted to be X4 tropic compared with none of the 24 subtype A1. We also analysed the frequency of subtype in the envelope region of inter-subtype recombinants, and found that subtype A1 is over-represented in env, suggesting recombination and selection have acted to remove subtype D env from circulation. The reduction of subtype D frequency over three decades therefore appears to be a result of selective pressure against X4 tropism and its higher virulence. Lastly, we find a subtype D specific codon deletion at position 24 of the V3 loop, which may explain the higher propensity for subtype D to utilise X4 tropism.
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Affiliation(s)
- Heather E Grant
- Institute of Ecology and Evolution, University of Edinburgh, Edinburgh, UK.
| | - Sunando Roy
- Division of Infection and Immunity, University College London, London, UK
| | - Rachel Williams
- UCL Great Ormond Street Institute of Child Health, London, UK
| | - Helena Tutill
- Division of Infection and Immunity, University College London, London, UK
| | - Bridget Ferns
- Department of Virology, University College London Hospitals NHS Foundation Trust, London, UK
| | | | | | - Deogratius Ssemwanga
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe, Uganda
| | - Pontiano Kaleebu
- Medical Research Council (MRC)/Uganda Virus Research Institute (UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe, Uganda
| | - Judith Breuer
- Division of Infection and Immunity, University College London, London, UK
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Revisiting the recombinant history of HIV-1 group M with dynamic network community detection. Proc Natl Acad Sci U S A 2022; 119:e2108815119. [PMID: 35500121 PMCID: PMC9171507 DOI: 10.1073/pnas.2108815119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Recombination is a major mechanism through which HIV type 1 (HIV-1) maintains genetic diversity and interferes with viral eradication efforts. There is growing evidence demonstrating a recombinant origin of primate lentiviruses including HIV-1 group M (HIV-1/M). Inferring the extent of recombination across the entire HIV-1/M genome is of great importance as it provides deeper insights into the origin, dynamics, and evolution of the global pandemic. Here we propose an alternative method that can reconstruct the extent of genome-wide recombination in HIV-1, uncover reticulate patterns, and serve as a framework for HIV-1 classification. Our method provides an alternative approach for understanding the roles of virus recombination in the early evolutionary history of zoonosis for other emerging viruses. The prevailing abundance of full-length HIV type 1 (HIV-1) genome sequences provides an opportunity to revisit the standard model of HIV-1 group M (HIV-1/M) diversity that clusters genomes into largely nonrecombinant subtypes, which is not consistent with recent evidence of deep recombinant histories for simian immunodeficiency virus (SIV) and other HIV-1 groups. Here we develop an unsupervised nonparametric clustering approach, which does not rely on predefined nonrecombinant genomes, by adapting a community detection method developed for dynamic social network analysis. We show that this method (dynamic stochastic block model [DSBM]) attains a significantly lower mean error rate in detecting recombinant breakpoints in simulated data (quasibinomial generalized linear model (GLM), P<8×10−8), compared to other reference-free recombination detection programs (genetic algorithm for recombination detection [GARD], recombination detection program 4 [RDP4], and RDP5). When this method was applied to a representative sample of n = 525 actual HIV-1 genomes, we determined k = 29 as the optimal number of DSBM clusters and used change-point detection to estimate that at least 95% of these genomes are recombinant. Further, we identified both known and undocumented recombination hotspots in the HIV-1 genome and evidence of intersubtype recombination in HIV-1 subtype reference genomes. We propose that clusters generated by DSBM can provide an informative framework for HIV-1 classification.
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Balinda SN, Kapaata A, Xu R, Salazar MG, Mezzell AT, Qin Q, Herard K, Dilernia D, Kamali A, Ruzagira E, Kibengo FM, Song H, Ochsenbauer C, Salazar-Gonzalez JF, Gilmour J, Hunter E, Yue L, Kaleebu P. Characterization of Near Full-Length Transmitted/Founder HIV-1 Subtype D and A/D Recombinant Genomes in a Heterosexual Ugandan Population (2006–2011). Viruses 2022; 14:v14020334. [PMID: 35215928 PMCID: PMC8874453 DOI: 10.3390/v14020334] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/01/2022] [Accepted: 01/10/2022] [Indexed: 12/04/2022] Open
Abstract
Detailed characterization of transmitted HIV-1 variants in Uganda is fundamentally important to inform vaccine design, yet studies on the transmitted full-length strains of subtype D viruses are limited. Here, we amplified single genomes and characterized viruses, some of which were previously classified as subtype D by sub-genomic pol sequencing that were transmitted in Uganda between December 2006 to June 2011. Analysis of 5′ and 3′ half genome sequences showed 73% (19/26) of infections involved single virus transmissions, whereas 27% (7/26) of infections involved multiple variant transmissions based on predictions of a model of random virus evolution. Subtype analysis of inferred transmitted/founder viruses showed a high transmission rate of inter-subtype recombinants (69%, 20/29) involving mainly A1/D, while pure subtype D variants accounted for one-third of infections (31%, 9/29). Recombination patterns included a predominance of subtype D in the gag/pol region and a highly recombinogenic envelope gene. The signal peptide-C1 region and gp41 transmembrane domain (Tat2/Rev2 flanking region) were hotspots for A1/D recombination events. Analysis of a panel of 14 transmitted/founder molecular clones showed no difference in replication capacity between subtype D viruses (n = 3) and inter-subtype mosaic recombinants (n = 11). However, individuals infected with high replication capacity viruses had a faster CD4 T cell loss. The high transmission rate of unique inter-subtype recombinants is striking and emphasizes the extraordinary challenge for vaccine design and, in particular, for the highly variable and recombinogenic envelope gene, which is targeted by rational designs aimed to elicit broadly neutralizing antibodies.
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Affiliation(s)
- Sheila N. Balinda
- Medical Research Council, UVRI & LSTHM Uganda Research Unit, Plot 51–59, Entebbe, Uganda; (A.K.); (M.G.S.); (E.R.); (F.M.K.); (J.F.S.-G.); (P.K.)
- Correspondence: ; Tel.: +25-675-466-0098
| | - Anne Kapaata
- Medical Research Council, UVRI & LSTHM Uganda Research Unit, Plot 51–59, Entebbe, Uganda; (A.K.); (M.G.S.); (E.R.); (F.M.K.); (J.F.S.-G.); (P.K.)
| | - Rui Xu
- Emory Vaccine Center, Yerkes National Primate Research Center, Atlanta, GA 30329, USA; (R.X.); (Q.Q.); (K.H.); (D.D.); (H.S.); (E.H.); (L.Y.)
| | - Maria G. Salazar
- Medical Research Council, UVRI & LSTHM Uganda Research Unit, Plot 51–59, Entebbe, Uganda; (A.K.); (M.G.S.); (E.R.); (F.M.K.); (J.F.S.-G.); (P.K.)
| | - Allison T. Mezzell
- Department of Molecular Genetics, Biochemistry, and Microbiology, University of Cincinnati College of Medicine, 3230, Eden Ave, Cincinnati, OH 45267, USA;
| | - Qianhong Qin
- Emory Vaccine Center, Yerkes National Primate Research Center, Atlanta, GA 30329, USA; (R.X.); (Q.Q.); (K.H.); (D.D.); (H.S.); (E.H.); (L.Y.)
| | - Kimberly Herard
- Emory Vaccine Center, Yerkes National Primate Research Center, Atlanta, GA 30329, USA; (R.X.); (Q.Q.); (K.H.); (D.D.); (H.S.); (E.H.); (L.Y.)
| | - Dario Dilernia
- Emory Vaccine Center, Yerkes National Primate Research Center, Atlanta, GA 30329, USA; (R.X.); (Q.Q.); (K.H.); (D.D.); (H.S.); (E.H.); (L.Y.)
| | - Anatoli Kamali
- International AIDS Vaccine Initiative (IAVI), Nairobi 00202, Kenya;
| | - Eugene Ruzagira
- Medical Research Council, UVRI & LSTHM Uganda Research Unit, Plot 51–59, Entebbe, Uganda; (A.K.); (M.G.S.); (E.R.); (F.M.K.); (J.F.S.-G.); (P.K.)
| | - Freddie M. Kibengo
- Medical Research Council, UVRI & LSTHM Uganda Research Unit, Plot 51–59, Entebbe, Uganda; (A.K.); (M.G.S.); (E.R.); (F.M.K.); (J.F.S.-G.); (P.K.)
| | - Heeyah Song
- Emory Vaccine Center, Yerkes National Primate Research Center, Atlanta, GA 30329, USA; (R.X.); (Q.Q.); (K.H.); (D.D.); (H.S.); (E.H.); (L.Y.)
| | - Christina Ochsenbauer
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA;
| | - Jesus F. Salazar-Gonzalez
- Medical Research Council, UVRI & LSTHM Uganda Research Unit, Plot 51–59, Entebbe, Uganda; (A.K.); (M.G.S.); (E.R.); (F.M.K.); (J.F.S.-G.); (P.K.)
| | - Jill Gilmour
- International AIDS Vaccine Initiative (IAVI), Imperial College London, London SW10 9NH, UK;
| | - Eric Hunter
- Emory Vaccine Center, Yerkes National Primate Research Center, Atlanta, GA 30329, USA; (R.X.); (Q.Q.); (K.H.); (D.D.); (H.S.); (E.H.); (L.Y.)
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA 30329, USA
| | - Ling Yue
- Emory Vaccine Center, Yerkes National Primate Research Center, Atlanta, GA 30329, USA; (R.X.); (Q.Q.); (K.H.); (D.D.); (H.S.); (E.H.); (L.Y.)
| | - Pontiano Kaleebu
- Medical Research Council, UVRI & LSTHM Uganda Research Unit, Plot 51–59, Entebbe, Uganda; (A.K.); (M.G.S.); (E.R.); (F.M.K.); (J.F.S.-G.); (P.K.)
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Umviligihozo G, Muok E, Nyirimihigo Gisa E, Xu R, Dilernia D, Herard K, Song H, Qin Q, Bizimana J, Farmer P, Hare J, Gilmour J, Allen S, Karita E, Hunter E, Yue L. Increased Frequency of Inter-Subtype HIV-1 Recombinants Identified by Near Full-Length Virus Sequencing in Rwandan Acute Transmission Cohorts. Front Microbiol 2021; 12:734929. [PMID: 34690973 PMCID: PMC8529237 DOI: 10.3389/fmicb.2021.734929] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Accepted: 09/07/2021] [Indexed: 12/01/2022] Open
Abstract
Most studies of HIV-1 transmission have focused on subtypes B and C. In this study, we determined the genomic sequences of the transmitted founder (TF) viruses from acutely infected individuals enrolled between 2005 and 2011 into IAVI protocol C in Rwanda and have compared these isolates to viruses from more recent (2016–2019) acute/early infections in three at risk populations – MSM, high risk women (HRW), and discordant couples (DC). For the Protocol C samples, we utilized near full-length single genome (NFLG) amplification to generate 288 HIV-1 amplicons from 26 acutely infected seroconverters (SC), while for the 21 recent seroconverter samples (13 from HRW, two from DC, and six from MSM), we PCR amplified overlapping half-genomes. Using PacBio SMRT technology combined with the MDPseq workflow, we performed multiplex sequencing to obtain high accuracy sequences for each amplicon. Phylogenetic analyses indicated that the majority of recent transmitted viruses from DC and HRW clustered within those of the earlier Protocol C cohort. However, five of six sequences from the MSM cohort branched together and were greater than 97% identical. Recombination analyses revealed a high frequency (6/26; 23%) of unique inter-subtype recombination in Protocol C with 19% AC and 4% CD recombinant viruses, which contrasted with only 6.5% of recombinants defined by sequencing of the pol gene previously. The frequency of recombinants was significantly higher (12/21; 57%) in the more recent isolates, although, the five related viruses from the MSM cohort had identical recombination break points. While major drug resistance mutations were absent from Protocol C viruses, 4/21 of recent isolates exhibited transmitted nevirapine resistance. These results demonstrate the ongoing evolution and increased prevalence of recombinant and drug resistant transmitted viruses in Rwanda and highlight the importance of defining NFLG sequences to fully understand the nature of TF viruses and in particular the prevalence of unique recombinant forms (URFs) in transmission cohorts.
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Affiliation(s)
| | - Erick Muok
- Centre for Family Health Research, Kigali, Rwanda
| | | | - Rui Xu
- Emory Vaccine Center at Yerkes National Primate Research Center, Atlanta, GA, United States
| | - Dario Dilernia
- Emory Vaccine Center at Yerkes National Primate Research Center, Atlanta, GA, United States
| | - Kimberley Herard
- Emory Vaccine Center at Yerkes National Primate Research Center, Atlanta, GA, United States
| | - Heeyah Song
- Emory Vaccine Center at Yerkes National Primate Research Center, Atlanta, GA, United States
| | - Qianhong Qin
- Emory Vaccine Center at Yerkes National Primate Research Center, Atlanta, GA, United States
| | | | - Paul Farmer
- Emory Vaccine Center at Yerkes National Primate Research Center, Atlanta, GA, United States
| | | | - Jill Gilmour
- Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Susan Allen
- Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, United States
| | | | - Eric Hunter
- Emory Vaccine Center at Yerkes National Primate Research Center, Atlanta, GA, United States.,Department of Pathology and Laboratory Medicine, Emory University, Atlanta, GA, United States
| | - Ling Yue
- Emory Vaccine Center at Yerkes National Primate Research Center, Atlanta, GA, United States
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7
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Fischer W, Giorgi EE, Chakraborty S, Nguyen K, Bhattacharya T, Theiler J, Goloboff PA, Yoon H, Abfalterer W, Foley BT, Tegally H, San JE, de Oliveira T, Gnanakaran S, Korber B. HIV-1 and SARS-CoV-2: Patterns in the evolution of two pandemic pathogens. Cell Host Microbe 2021; 29:1093-1110. [PMID: 34242582 PMCID: PMC8173590 DOI: 10.1016/j.chom.2021.05.012] [Citation(s) in RCA: 59] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Humanity is currently facing the challenge of two devastating pandemics caused by two very different RNA viruses: HIV-1, which has been with us for decades, and SARS-CoV-2, which has swept the world in the course of a single year. The same evolutionary strategies that drive HIV-1 evolution are at play in SARS-CoV-2. Single nucleotide mutations, multi-base insertions and deletions, recombination, and variation in surface glycans all generate the variability that, guided by natural selection, enables both HIV-1's extraordinary diversity and SARS-CoV-2's slower pace of mutation accumulation. Even though SARS-CoV-2 diversity is more limited, recently emergent SARS-CoV-2 variants carry Spike mutations that have important phenotypic consequences in terms of both antibody resistance and enhanced infectivity. We review and compare how these mutational patterns manifest in these two distinct viruses to provide the variability that fuels their evolution by natural selection.
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Affiliation(s)
- Will Fischer
- T-6: Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA; New Mexico Consortium, Los Alamos, New Mexico, 87545, USA
| | - Elena E Giorgi
- T-6: Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA; New Mexico Consortium, Los Alamos, New Mexico, 87545, USA
| | - Srirupa Chakraborty
- T-6: Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA; Center for Nonlinear Studies, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
| | - Kien Nguyen
- T-6: Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
| | - Tanmoy Bhattacharya
- T-2: Nuclear and Particle Physics, Astrophysics and Cosmology, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545 USA
| | - James Theiler
- ISR-3: Space Data Science and Systems, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
| | - Pablo A Goloboff
- Unidad Ejecutora Lillo, Consejo Nacional de Investigaciones Científicas y Técnicas - Fundación Miguel Lillo, S. M. de Tucumán, Miguel Lillo 251 4000, Argentina; Research Associate, American Museum of Natural History, New York 10024, USA
| | - Hyejin Yoon
- T-6: Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
| | - Werner Abfalterer
- T-6: Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
| | - Brian T Foley
- T-6: Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
| | - Houriiyah Tegally
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - James Emmanuel San
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Tulio de Oliveira
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine & Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Sandrasegaram Gnanakaran
- T-6: Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
| | - Bette Korber
- T-6: Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA; New Mexico Consortium, Los Alamos, New Mexico, 87545, USA.
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