HIV-1 acute infection: evidence for selection?

Similar documents
Demographic Processes Affect HIV-1 Evolution in Primary Infection before the Onset of Selective Processes

Genetic impact of vaccination on breakthrough HIV-1 sequences from the STEP trial

Chronic HIV-1 Infection Frequently Fails to Protect against Superinfection

Selection on the Human Immunodeficiency Virus Type 1 Proteome following Primary Infection

On an individual level. Time since infection. NEJM, April HIV-1 evolution in response to immune selection pressures

Understanding HIV. Transmitted/Founder Viruses. Brandon Keele SAIC-Frederick National Cancer Institute

HIV-1 Dual Infection and Neurocognitive Impairment

How HIV Causes Disease Prof. Bruce D. Walker

Transmitted Virus Fitness and Host T Cell Responses Collectively Define Divergent Infection Outcomes in Two HIV-1 Recipients

Evolution of influenza

Reliable reconstruction of HIV-1 whole genome haplotypes reveals clonal interference and genetic hitchhiking among immune escape variants

Citation for published version (APA): Von Eije, K. J. (2009). RNAi based gene therapy for HIV-1, from bench to bedside

Higher priming doses enhance HIV-specific humoral but not cellular. responses in a randomized, double-blind phase Ib clinical trial of

HIV Diversity in East Africa

Frequency and Dynamics of Transmitted Polymorphisms and their Impact on Early Pathogenesis in Heterosexual Couples in Zambia

Within-host and between-host evolutionary rates across the HIV-1 genome

HOST-PATHOGEN CO-EVOLUTION THROUGH HIV-1 WHOLE GENOME ANALYSIS

A new wild-type in the era of transmitted drug resistance

An Analysis of Genital Tract Derived HIV from Heterosexual Transmission Pairs. Debrah Boeras Emory University October 14, 2008

Going Nowhere Fast: Lentivirus genetic sequence evolution does not correlate with phenotypic evolution.

NK mediated Antibody Dependent Cellular Cytotoxicity in HIV infections

HIV acute infections and elite controllers- what can we learn?

Innate and Cellular Immunology Control of Infection by Cell-mediated Immunity

Characterizing intra-host influenza virus populations to predict emergence

Supplemental Materials and Methods Plasmids and viruses Quantitative Reverse Transcription PCR Generation of molecular standard for quantitative PCR

Mina John Institute for Immunology and Infectious Diseases Royal Perth Hospital & Murdoch University Perth, Australia

T cell Vaccine Strategies for HIV, the Virus. With a Thousand Faces

HIV Life Cycle & Genetics

Prevention of infection 2 : immunisation. How infection influences the host : viruses. Peter

Search for the Mechanism of Genetic Variation in the pro Gene of Human Immunodeficiency Virus

Multiple sequence alignment

Population-level Immune-mediated Adaptation in HIV-1 Polymerase during the North American Epidemic

Rajesh Kannangai Phone: ; Fax: ; *Corresponding author

Emerging Diseases. Biosciences in the 21 st Century Dr. Amber Rice October 26, 2012

Impact of Mutations in Highly Conserved Amino Acids of the HIV-1 Gag-p24 and Env-gp120 Proteins on Viral Replication in Different Genetic Backgrounds

RAISON D ETRE OF THE IMMUNE SYSTEM:

Lecture 11. Immunology and disease: parasite antigenic diversity

Whole Genome Deep Sequencing of HIV-1 Reveals the Impact of Early Minor Variants Upon Immune Recognition During Acute Infection

The first T cell response to transmitted/ founder virus contributes to the control of acute viremia in HIV-1 infection

Developing Understanding of CMI. Dr Tom Wilkinson Associate Professor of Respiratory Medicine Faculty of Medicine University of Southampton UK

Originally published as:

Received 9 October 2008/Accepted 24 December 2008

COMPUTATIONAL ANALYSIS OF CONSERVED AND MUTATED AMINO ACIDS IN GP160 PROTEIN OF HIV TYPE-1

arxiv: v1 [q-bio.pe] 8 Sep 2015

RAISON D ETRE OF THE IMMUNE SYSTEM:

Host Genomics of HIV-1

Ebola Virus. Emerging Diseases. Biosciences in the 21 st Century Dr. Amber Rice December 4, 2017

Transmission of Single and Multiple Viral Variants in Primary HIV-1 Subtype C Infection

HIV-1 subtype C in Karonga District, Malawi. Simon Travers

HVTN Laboratory Program: Immunogenicity and Research Assays

MRKAd5 HIV-1 Gag/Pol/Nef Vaccine-Induced T-Cell Responses Inadequately Predict Distance of Breakthrough HIV-1 Sequences to the Vaccine or Viral Load

Phylogenetic Analysis of HIV Samples from a Single Host

Evidence of Differential HLA Class I- Mediated Viral Evolution in Functional and Accessory/Regulatory Genes of HIV-1

HIV-1 Subtypes: An Overview. Anna Maria Geretti Royal Free Hospital

Modeling the Antigenic Evolution of Influenza Viruses from Sequences

HIV-1 adaptation to HLA: a window into virus-host immune interactions

Epitope discovery and Rational vaccine design Morten Nielsen

DEBATE ON HIV ENVELOPE AS A T CELL IMMUNOGEN HAS BEEN GAG-GED

The molecular clock of HIV-1 unveiled through analysis of a known transmission history

The Swarm: Causes and consequences of HIV quasispecies diversity

The Genealogical Population Dynamics of HIV-1 in a Large Transmission Chain: Bridging within and among Host Evolutionary Rates

Transmission Fitness of Drug- Resistant HIV Revealed in the United States National Surveillance System

Tracing HIV 1 transmission: envelope traits of HIV 1 transmitter and recipient pairs

HHS Public Access Author manuscript Nat Med. Author manuscript; available in PMC 2016 November 16.

Supplementary Figure 1. ALVAC-protein vaccines and macaque immunization. (A) Maximum likelihood

(ii) The effective population size may be lower than expected due to variability between individuals in infectiousness.

Development of a Universal T Cell Vaccine. Tomáš Hanke Weatherall Institute of Molecular Medicine University of Oxford United Kingdom

HIV and drug resistance Simon Collins UK-CAB 1 May 2009

Low-Dose Rectal Inoculation of Rhesus Macaques by SIVsmE660 or SIVmac251 Recapitulates Human Mucosal Infection by HIV-1

MID-TERM EXAMINATION

Superior Control of HIV-1 Replication by CD8+ T Cells Targeting Conserved Epitopes: Implications for HIV Vaccine Design

An Evolutionary Story about HIV

Finding protein sites where resistance has evolved

HIV-1 SUBTYPE C MOTHER-TO-CHILD TRANSMISSION: GENETIC AND IMMUNOLOGIC CORRELATES. Elizabeth Susan Russell

EMERGING ISSUES IN THE HUMORAL IMMUNE RESPONSE TO HIV. (Summary of the recommendations from an Enterprise Working Group)

Distinguishing epidemiological dependent from treatment (resistance) dependent HIV mutations: Problem Statement

Virological failure to Protease inhibitors in Monotherapy is linked to the presence of signature mutations in Gag without changes in HIV-1 replication

DETECTION OF LOW FREQUENCY CXCR4-USING HIV-1 WITH ULTRA-DEEP PYROSEQUENCING. John Archer. Faculty of Life Sciences University of Manchester

IAS 2015 Towards an HIV Cure symposium Vancouver Immune recognition following latency reversal

Exploring HIV Evolution: An Opportunity for Research Sam Donovan and Anton E. Weisstein

A Path to an HIV Vaccine: GSID Consortium Activities. Faruk Sinangil, PhD 4th Annual CAVD Meeting Miami, FL December 1-4, 2009

Increased sequence coverage through combined targeting of variant. and conserved epitopes correlates with control of HIV replication

Single genome analysis reveals genetic characteristics of Neuroadaptation across HIV-1 envelope

Deep-Sequencing of HIV-1

Synonymous Substitution Rates Predict HIV Disease Progression as a Result of Underlying Replication Dynamics

Longitudinal Antigenic Sequences and Sites from Intra-Host Evolution (LASSIE) Identifies Immune-Selected HIV Variants

Socio-Demographic Factors associated with Success of Antiretroviral Treatment among HIV Patients in Tanzania

Estimating the mutational fitness effects distribution during early HIV infection

Irina Maljkovic Berry

It is well known that some pathogenic microbes undergo

Immune pressure analysis of protease and reverse transcriptase genes of primary HIV-1 subtype C isolates from South Africa

Received 4 August 2005/Accepted 7 December 2005

High Failure Rate of the ViroSeq HIV-1 Genotyping System for Drug Resistance Testing in Cameroon, a Country with Broad HIV-1 Genetic Diversity

Defining kinetic properties of HIV-specific CD8 + T-cell responses in acute infection

Did the surgeon give hepatitis C to his patient?

From Mosquitos to Humans: Genetic evolution of Zika Virus

ANALYSIS OF HOST AND VIRAL FACTORS IN THE ELITE SUPPRESSION OF HIV-1 INFECTION. Robert W. Buckheit III

Rapid intrahost evolution of human cytomegalovirus is shaped by demography and positive selection

HIV and Challenges of Vaccine Development

TITLE: Influenza A (H7N9) virus evolution: Which genetic mutations are antigenically important?

Transcription:

HIV-1 acute infection: evidence for selection? ROLLAND Morgane University of Washington

Cohort & data S6 S5 T4 S4 T2 S2 T1 S1 S7 T3 DPS (days post symptoms) 3 (Fiebig I) 7 (Fiebig I) 13 (Fiebig V) 14 (Fiebig I) 3 (Fiebig I) 8 (Fiebig I) 3 (Fiebig I) Eleven HIV-1 subtype B infected individuals from the Seattle Primary Infection Cohort (SeaPIC) Near full length genomes (~9,1 Kb) were amplified from plasma by singletemplate PCR, cloned and sequenced 495 HIV-1 subtype B genomes Eight individuals were enrolled during acute HIV-1 infection Four transmission pairs 25 (Fiebig V) HXB2 acute infection

A single founder variant typically establishes HIV-1 infection S5 T2 S2 Phylogenetic tree with sequences from the first time point after infection in recipients: A single HIV-1 variant established infection in 8 of the 9 MSM HXB2 S6 T1 Li et al. PLoS Pathogens. 2010. S1 S7 S4 T4 T3 MSM: 31/50 = 62% HSX: 141/175 subjects = 81% (p = 0.008) Other MSM cohorts: 77% of 64 Step vaccine trial volunteers infected with subtype B (Rolland, Stovanabutra, decamp et al., submitted) 86% of 37 MSM evaluated preseroconversion in the MACS cohort (Gottlieb et al., 2008)

Comparison of sequences from transmission pairs HXB2 S2, sampled at 3 dps Sample from T2 on same day, sampled at 25 dps Sample from T3 8 days later S4, sampled at 13 dps Sample from T4 10 days later S1, sampled at 8 dps Sample from T1 17 days later S1 S2 T2, 14 dps S4 T3, 9 yrs T4, 9 yrs T1, 10 yrs Restriction to a single founder not due to lack of variation in transmitter Comparison between the genome sequences from the transmitter and genomes from visit 1 in the recipient No exact match at the genome level; exact match in gag or pol Closest match: : 98.31% identity to a genome from T3 S4: 98.89% identity to a genome from T4 S1: 99.28% identity to a genome from T1 S2: 99.82% identity to a genome from T2

Comparison to the consensus from the transmitter S2, sampled at 3 dps Sample from T2 on same day S2 T2, 14 dps T3, 9 yrs Divergence from transmitter consensus 0.163 0.154 p = 0.84, sampled at 25 dps Sample from T3 8 days later T2 S2 S4, sampled at 13 dps Sample from T4 10 days later S4 0.899 1.360 T3 p = 0.002 T4, 9 yrs S1, sampled at 8 dps Sample from T1 17 days later S1 0.920 T4 0.926 S4 p = 0.68 T1, 10 yrs HXB2 Consensus from transmitter sequences 1.332 T1 1.224 S1 p = 0.58

Comparison to the consensus from the transmitter Divergence from transmitter consensus 0.163 T2 0.899 1.360 T3 p = 0.68 0.920 T4 1.332 T1 p = 0.84 0.154 S2 p = 0.002 0.926 S4 p = 0.58 1.224 S1 The founder variant: did not correspond to the consensus from the transmitter seemed to be a rare variant in the transmitter, that nonetheless was within the distribution of variants found in the transmitter, except in the case of. The genomes from were significantly more divergent than any genome in the transmitter. Lack of exact match can be due to: Insufficient or non-simultaneous sampling Compartmentalization: plasma vs semen Selection for viruses better adapted to the new host

ELISpot assays with transmitter- and recipient-specific peptides Predicted epitopes Forward mutation Decrease in database frequency by >50% between: 1) the AA in the transmitter and the AA in the recipient 2) the consensus AA in the recipient and the mutated AA Reverse mutation Increase in database frequency by >50% ELISpot responses assays Hypothesis: Sites that differ between transmitter and recipient may correspond to sites under CTL pressure in the transmitter, that reverted back to a consensus-like form upon transmission to a new host One example of a CTL response directed against a Nef region in the transmitter

Longitudinal follow-up Follow-up between: S6 3 and 350 dps, 12 visits 123 genomes S5 7 and 181 dps, 8 visits 85 genomes T4, S4 HXB2 T2, S2 T1, S1 S7 T3 3 and 196 dps, 7 visits, 68 genomes 25 and 247 dps, 9 visits, 93 genomes

Diversification over time Pairwise diversity, genomes 1.00 0.90 0.80 0.70 0.60 0.50 0.40 0.30 0.20 0.10 0.00-50 50 150 250 350 dps Rate of diversification, % per year 1.60 1.40 1.20 1.00 0.80 0.60 0.40 0.20 0.00 genome 0.42 0.53 0.65 0.67 S5 S6 S7 gag pol env, C2V5 nef 0.42 0.44 0.26 0.34 0.20 0.37 0.28 0.06 0.80 1.60 0.90 1.13 1.17 0.02 1.40 0.67 The rate of evolution varied across the genome; it was higher in env and nef. The rates seen in C2V5 are comparable to the rates reported in chronic infection (0.92%+/-0.29, Shankarappa et al., 1999)

A dip in nucleotide diversity in acute infection Pairwise diversity, based on genomes, normalized to zero at visit 1 S6 S7 S5 50 100 150 200 250 300 350 dps The pairwise nucleotide diversity decreased in the earliest time points of infection.

A dip in APOBEC3G-mediated mutations APOBEC3G S6 APOBEC3G diversity S7 Pairwise diversity, genomes Control G>A mutations S5 Diversity in S6 Diversity in S5 Diversity in S7 Diversity in APOBEC3G dps Control G>A mutations The dip in APOBEC3G-mediated mutations was parallel to the dip in nucleotide diversity Yet, the dip in APOBEC3G-induced mutations was not the cause of the dip in nucleotide diversity.

Demographic processes dominate in acute infection Viral loads (x100,000) Viral loads S6 S7 Pairwise diversity, genomes Diversity Significant deviations in neutrality tests S5 Diversity in S6 Diversity in S5 Diversity in S7 Diversity in At the genome level, neutrality tests (Tajima s D and Fu and Li s D*) showed negative deviations from the neutral model, suggesting alternative hypotheses, such as selection or demographic history: founder effects, changes in population size or purifying selection can lead to strong negative deviations. Genome-wide and gene-specific tests were congruent, thus showing the predominance of demographic processes in acute infection. The dip in diversity is likely due to the single variant-founder effect and the subsequent delay before the viral population reaches equilibrium dps

Signs of selection appear at 1-2 weeks post symptoms The earliest fixation of an AA substitution occurred at day 21 in Tat (S5) By 6 months post-infection, there were between 9 (in S6) and 18 (in S7) positively selected sites across the genome. Mutually-exclusive substitution patterns in predicted CTL epitopes More evidence of forward ( escape ) than reverse mutations: S7: 37 forward vs. 2 reverse mutations S5: 53 forward vs. 7 reverse mutations S6: 91 forward vs. 7 reverse mutations : 55 forward vs. 10 reverse mutations X X Forward mutation Reverse mutation

Conclusion HIV-1 acute infection is characterized by a founder effect with single variants establishing infection in 81 % of individuals (based on 110 MSM) The variants establishing infection in the recipient did not correspond to the consensus variant in the transmitter. Demographic processes dominated in the earliest weeks of infection Founder effect (short branch lengths to the MRCA) and multiplicity of variable sites (star-like phylogeny) led to significant negative deviations from the neutral model. Across transmission pairs and over time in the recipients, we found more evidence of forward ( escape ) than reverse mutations Mutually-exclusive substitution patterns in predicted CTL epitopes

Acknowledgments James I. Mullins Joshua T. Herbeck Seattle Primary Infection Cohort Yi Liu Sherry McLaughlin Hong Zhao Kim Wong Julia N. Stoddard Dana Raugi Stephanie Sorensen Indira Genowati Brian Birditt Angela McKay Brandon S. Maust Wenjie Deng M. Juliana McElrath John McNevin Nicole Frahm Justine E. Brown Kurt Diem Joanne D. Stekler Ann C. Collier