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Journal of Virology, April 2003, p. 4306-4314, Vol. 77, No. 7
0022-538X/03/$08.00+0 DOI: 10.1128/JVI.77.7.4306-4314.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
Cancer Research U.K. Viral Oncology Group, The Wolfson Institute for Biomedical Research,1 Ian Charleson Centre,3 Department of Sexually Transmitted Diseases, The Royal Free and University College Medical Schools, University College London,4 Department of Immunology, Imperial College of Science, Technology and Medicine, London, United Kingdom,2 Medical Department, Klinikum Benjamin Franklin, Freie Universität Berlin, Berlin, Germany5
Received 15 August 2002/ Accepted 3 January 2003
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The KSHV K1 open reading frame (ORF-K1) encodes a 46-kDa transmembrane glycoprotein that has been shown to induce foci of transformation in rat fibroblasts (14), enhance KSHV lytic replication (12), cooperate in NF-
B signaling in vitro (27) and in vivo (25), and potentially maintain latent infection by blocking B-cell activation and therefore the induction of lytic replication (13). ORF-K1, located at the extreme left-hand end of the KSHV genome, has positional homology with the gene encoding transforming protein LMP-1 of EBV. K1 is known to contain the two most variable regions (VR1 and VR2) across the entire viral genome, which are used to classify KSHV into four clades (A, B, C, and D) (6, 16, 36). Every viral isolate studied thus far is unique to an infected individual. Unlike the situation in retroviruses, where proteins targeted by the host immune system undergo CTL escape during infection, K1 mutations have not been detected within an infected individual over time (29, 36). There are various hypotheses explaining K1's variability, but evidence for a mechanism that drives its variability has not yet been shown (3, 6, 16, 36). Here, we investigate whether an immunological mechanism is partly responsible for this unique variability.
Initially, we performed computational analyses of K1 variability at the amino acid or codon level using three different measures not previously applied. We investigated the diversity and substitution rates at each amino acid site and then established the ratio of nonsynonymous substitutions (amino acid altering) to synonymous substitutions (silent, noncoding) at each codon position. This analysis allowed us to test whether CTL epitopes are specifically located within positively selected codon sites.
Previously, Osman et al. used a recombinant modified Ankara vaccine expressing K1 (A clade) and identified the presence of CTLs against the whole K1 protein (22). Here, we investigated the regions of K1 that elicit CTL responses, and for this, the patient's own (autologous) K1 sequences were required. Overlapping peptides that corresponded to an individual's exact K1 sequence were synthesized. The immunogenic epitopes of K1 were found to lie only within the highly positive selected region of VR1. We discuss the possibility of diversity in a DNA viral gene being driven by CTL recognition as opposed to CTL escape.
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PCR and sequencing. DNA was extracted from 5 x 106 PBMCs by using a QIAamp blood kit (Qiagen, Hilden, Germany). K1 gene fragments were amplified by nested PCRs with 50-µl mixtures of buffer containing 2 µl of template DNA, 4.0 mM (first round) or 1.5 mM (second round) MgCl2, 1.0 U of Expand polymerase (Roche, Mannheim, Germany), and 10 pmol of the following primers: for the first round with K1 VR1, 5'-GTTCTGCCAGGCATAGTC-3' and 5'-GTAACATGCTGACCACAAG-3'; for the second round with VR1, 5'-CTGGCGGCCCTTGTGTAAAC-3' and 5'-GACTGTGTTTGATGGCTGTGC-3'; for the first round with K1 VR2, 5'-CGTCTCGCCTGTCAAATC-3' and 5'-ACTGGTTGCGTATAGTCTTCC-3'; and for the second round with VR2, 5'-GTATATGTTTTTGGGCGCGTTG-3' and 5'-CCGTGCACAAATCGTGTAGGG-3'. Alternative primers were also used if VR1 PCR was unsuccessful (in the first round, 5'-GGGTTCTGCCAGGCATAG-3' and 5'-ACCACAAGTGACTGTGTTTG-3', and in the second round, 5'-TCAGACCTTGTTGGACATC-3' and 5'-ACACAAGGTTTGTAAGACAG-3'). The conserved area between VR1 and VR2 from nucleotides 324 to 480 was not amplified; however, overlapping peptides were made for this area. PCR conditions were as follows: 95°C for 2 min, 40 cycles of 94°C for 30 s, 52 to 58°C for 45 s, and 72°C for 1 min; and 72°C for 10 min. PCR products were purified with a QIAgen PCR product purification kit prior to sequencing with a CEQ dye terminator cycle sequencing kit (Beckman Coulter, Fullerton, Calif.).
HLA class I and II typing were performed by the Anthony Nolan Trust (Royal Free Hospital) by using amplification refractory mutation system-PCR with sequence-specific primers (2). Plasma HIV-1 viral loads were determined by the Bayer (Berkshire, United Kingdom) HIV-1 RNA 3.0 (branched DNA) assay or by PCR assay (Cobas Amplicor HIV-1 Monitor test version 1.5; Roche Diagnostics, Sussex, United Kingdom) with a lower level of detection of fewer than 50 HIV-1 RNA copies/ml.
IFN-
ELIspot assay, CD4 and CD8 depletion, and flow cytometry.
PBMCs were separated from heparinized whole blood by standard density gradient centrifugation on Ficoll-Hypaque (Pharmacia, St. Albans, United Kingdom), and gamma interferon (IFN-
) release ELIspot assays (MABTECH, Stockholm, Sweden) were carried out as previously described (7). In depletion experiments, assays were carried out with fresh PBMCs after depletion of T cells by using CD4 or CD8 MACS-positive selection beads (Mitenyi Biotec, Auburn, Calif.). Flow cytometry, following labeling with anti-CD4 fluorescein isothiocyanate and anti-CD8 phycoerythrin antibodies (Mitenyi Biotec), was performed on a MoFlow (Fort Collins, Colo.) apparatus, which confirmed that cell subset depletions were >95% in all experiments. Results were considered positive if the number of spot-forming cells per million PBMCs in peptide-stimulated wells was twofold higher than the number of spots per million PBMCs in control wells and if at least 50 spots per million PBMCs were present. The peptide concentration was 5 µM.
Synthetic peptides. Peptides were synthesized by conventional fluorenylmethoxycarbonyl (f-moc) solid-phase chemistry and analyzed for purity (>95%) by reverse-phase high-pressure liquid chromatography (Shimadzu, Chester, United Kingdom) and mass spectrometry (Thermo Finnigan AQA, San Jose, Calif.). In total, 130 K1 peptides were synthesized, as 50% of these were shared with more than one patient (15-mers overlapping by 5 or 10 nucleotides or 9-mers and 10-mers).
Chromium release assay.
Confirmation of CTL activity was determined by the chromium release assay as previously described (22). Briefly, patients' PBMCs were cultured in 10% AB plasma-RPMI 1640 medium at 2 x 106 cells/ml and stimulated with a 50 µM concentration of the relevant peptide and 50 U of interleukin 2 (Roche Diagnostics Ltd.) per ml, which was added on days 0, 3, and 7 of culture. Effector cells were assessed for specific killing of 51Cr-labeled EBV-transformed autologous B-cell targets (pulsed with each peptide) at effector-to-target ratios of 10:1, 20:1, 40:1, and 80:1 on day 10. Autologous B-cell lines and HLA-matched and -mismatched targets were tested with and without peptide. A spontaneous release of
15% of maximum was considered acceptable.
B*27 binding assay. To confirm that the B*27 peptide identified bound HLA-B*27, we tested binding in an assembly assay with the TAP-defective RMA-S-B*27 line (4, 9, 15). HLA-B*27 molecules stabilized by peptides were monitored by direct staining with fluorescein isothiocyanate-coupled anti-HLA-B*27-specific monoclonal antibodies (HLA-ABCm3; Serotec, Eching, Germany).
Analysis of protein variability at the single-site level. One hundred forty-five unique nucleotide sequences encoding all of ORF-K1 were collected from the National Center for Biotechnology Information (GenBank) (3, 10, 11, 19). Sequences that contained in-frame insertions (including the putative K1-D strain sequences thus far reported) were excluded from the present analysis, and sequences that clustered weakly within K1-A, -B, and -C strains were also excluded. The amino acid sequences deduced from the nucleotide sequences were aligned with each other by using CLUSTAL X, version 1.6. Alignment was successful for all 289 amino acid sites in 118 different K1 sequences, and no regions were excluded from analysis. Sequences were split into K1-A, -B, or -C strains by computer-based multialign and phylogenetic-tree programs from the National Institutes of Health website (http://bimas.dcrt.nih.gov/molbio /index.html), thus confirming previous reports (6, 16, 36). Programs to analyze changeability and diversity were a kind gift from Yumi Yamaguchi-Kabata (National Institute of Genetics, Mishima, Japan) (34).
In order to analyze the number of amino acid substitutions (changeability), we calculated the number of amino acid changes that have arisen throughout the phylogeny. To further evaluate the level of amino acid variation in this population, we defined the diversity of amino acids at a given position as the proportion of pairs having different amino acids in two sequences randomly chosen from the sample (34). This value was estimated from the frequencies of different amino acids or gaps at each position. This quantity is analogous to the concepts of nucleotide diversity and heterozygosity or gene diversity in population genetics. The amount of diversity estimated by these methods is independent of the number of sequences if the sequences are randomly sampled. Because some sites in K1-C sequences included gaps (within VR2), the diversity of gaps (Dgap) was estimated as
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Elucidation of positively selected individual codon sites in K1.
An excess of nonsynonymous (dn) over synonymous (ds) codon mutations was used to identify sites of positive selection with the CODEML program from Yang's Phylogenetic Analysis Maximum Likelihood (PAML) software (http://abacus.gene.ucl.ac.uk/research.html) (21). K1-A, -B, and -C sequence data sets were analyzed separately to ascertain possible differences. PAML corrects the raw dn and ds values of each site (compared to those of a single consensus sequence) for the likely transition-to-transversion ratio, the empirical base frequency in the sequence groups, and the biased likelihood of each codon to undergo either synonymous or nonsynonymous change. After this correction, the dn-to-ds ratio is termed
. Previous analyses have observed changes by K1 region but not by site (6, 16). We first tested the null hypothesis by comparing two distinct models of the distribution of
values between sites. The first was a neutral-selection model (the null hypothesis) that fixes dn/ds at either 0 or 1, and the second was an alternative model with a discrete distribution of
values (eight classes), including positive selection of values (
> 1). The likelihood-score ratio of each model was compared to a chi-square distribution with 5 df (as the discrete model has six extra parameters). The alternative model was found to produce a significantly superior fit of the data for the K1-A, -B, and -C data sets. We obtained sequences for the MHC class I B locus (exons 2 and 3 of HLA-B subtypes), KSHV ORF-26 (8), HIV-1 nef (18), and HIV-1 env (subtype B) (34) from GenBank and calculated the dn/ds ratios with the above-described methods (Table 1). The sequences used were obtained by using accession numbers corresponding to different individuals, and all sequences were confirmed to be different.
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TABLE 1. Sequence acquisition numbers for dn/ds ratio analysis
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) per codon (21) (Fig. 1C). We observed that the highest probabilities of positive selection in K1 are clustered primarily between codon positions 53 and 94 (VR1) (36), particularly between codons 55 and 71. Figure 1D shows the cumulative dn/ds ratios for all three strains. Overall, there are higher dn/ds ratios for A strains than for B and C strains. The analyses, performed for the first time at the single amino acid level, also show that B strains have more diffuse scattering of positive selection across K1 than A and C strains, where mutations occur specifically in VR1 and VR2 (Fig. 1C). K1-C strains had the highest numbers of substitutions, greatest diversity, and highest probabilities of positive selection but only for the VR2 region (amino acids 191 to 228).
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FIG. 1. (A) Predicted phylogenetic relationships among the 118 complete KSHV ORF-K1 protein sequences (A strain in blue [n = 45]; B strain in red [n = 21], and C strain in green [n = 52]). (B) Cumulative substitution rates and diversity across KSHV ORF-K1 determined with a radial phenogram constructed with alignment (CLUSTAL X, version 1.6) and treeview (Treeview, version 1.5) programs show that A and C strains are the most closely related. For substitutions, the gradient is offset by -1, so a gradient of 0 is equivalent to no substitution. (C) dn-to-ds ratios ( ) across the K1 gene for A, B, and C strains as measured per codon by PAML software. Shown are the results of an analysis of values at each position across K1 in all three strains, and specific peaks indicate highly positively selective areas. (D) Cumulative values among the three strains showing an overall increase in , i.e., the K1 protein is under positive selection throughout the whole sequence ( > 1). Previously postulated areas of VR1 and VR2 are indicated by light lines; darker dashes (codons 55 to 71) indicate our updated VR1 on the basis of analysis of 118 complete K1 sequences.
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FIG. 2. Comparison on a logarithmic scale of K1 mean values for strains A (45 sequences, 289 codons), B (21 sequences, 289 codons), and C (52 sequences, 284 codons) with the mean values of the human MHC class I-B genes (exons 2 and 3; 17 sequences, 262 codons), including the antigen recognition site (17 sequences, 58 codons); HIV-1 env genes (186 sequences, 414 codons), including the V3 loop (34 codons); nef genes (31 sequences, 170 codons); and KSHV ORF-26 genes (9 sequences, 165 codons). The value for VR1 is based on codons 55 to 71. Sequence acquisition numbers are provided in Table 1.
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release ELIspot assays (Fig. 3A and B). Two out of 10 did not show any responses (1 of these 2 individuals had received recent systemic cytotoxic treatment for non-Hodgkin's lymphoma). For the eight remaining patients, we observed responses against autologous viral peptide sequences and all responses were in peptides at sites in and around the most variable region of K1 VR1 (Fig. 3A). Furthermore, there were no responses when patients' PBMCs were stimulated with nonautologous viral epitopes and all 10 patients were tested with pooled nonautologous peptides corresponding to the K1 sequence of other patients (Fig. 3B and C).
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FIG. 3. Epitopes that elicit CTL responses as demonstrated by IFN- release ELIspot assays, with HLA class I restriction, were identified in eight HIV-1-infected patients on highly active antiretroviral therapy. (A) Patients' K1 amino acid sequences from codons 50 to 101. Epitope sequences that elicit responses and HLA class I-restricted alleles (Cw3, B*27, B*51, and B*55) are shaded. The viral strain of each patient is also indicated. The same class II HLA types were not shared between individuals that responded to the same epitope, and CD8+ depletion eliminated responses. (B) ELIspot data for 10 patients in whom autologous peptides were made. (C) Summary of ELIspot and chromium release assays. The number of responding patients tested is shown in brackets with the number of spot-forming cells per 106 PBMCs (ELIspot) and the highest mean percentage of specific lysis (51Cr release) for each patient. E:T, effector-to-target ratio. (D) Representative Cr release assay demonstrating percentage of specific lysis with the B*27-restricted peptide HRQSIWITW (data for patient 4 are shown). Results of experiments with an autologous effector and target (top), an effector and target matched at B*27 (middle), and an unmatched effector and target (with and without the peptide) are shown.
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Epitope frequency among strains. To investigate whether the four epitopes identified here were shared among the three strains, we aligned 118 K1 protein sequences from the GenBank database. It appears that all the epitopes are relatively conserved within each strain and are not shared with the other strains; e.g., the B*27-restricted epitope exists in over 90% of the sequences from the A strain but is not present in either B or C strains (Table 2). However, two amino acid changes within this epitope resulted in a 9-mer, highly conserved in clade C strain viruses (90.4%), which did not induce any CTL responses in two tested patients carrying the A strain.
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TABLE 2. Intrastrain conservation of identified epitopesa
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release in ELIspot assays with samples from B*27-positive patients infected with KSHV strains that contain this epitope, showed stabilization of the molecule (Fig. 4).
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FIG. 4. B*2702 binding assay on RMS-S-B*27-expressing cells. The left-hand panels show RMA-S-B*27 (expressing B*27) cells without peptide or with negative control peptide at 27°C (thermostable) to 37°C (thermolabile). The right panels show results for positive controls and binding to the B*27-restricted epitope (nonamer or decamer).
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We next tested whether this variability is partly driven by cellular immunity. To identify class I-restricted epitopes within K1, we required autologous peptides corresponding exactly to the patient's own viral sequence and individuals of an appropriate HLA class I type that were infected with a specific viral strain. We tested the entire K1 proteins of 10 individuals by using autologous overlapping peptides, yet we could find no CTL responses outside the VR1 region (Fig. 3A). We show that CTL responses occurred in 8 out of 10 patients tested and that the responses were specifically against positively selected sites within KSHV as identified by ELIspot, chromium release, and binding assays (Fig. 1C, 3, and 4). Epitopes located at equivalent K1 regions in other KSHV strains did not show binding (or antagonism in ELIspot assays) when the peptides were tested in patients with a different K1 strain and HLA class I allele (Fig. 3B). This result provides evidence to suggest that interstrain antigenic diversity between K1 subtypes exists and may promote viral-host "coevolution."
We also aligned 118 K1 protein sequences from the GenBank database to investigate whether the four epitopes identified here are conserved among the three strains. We observed that all the epitopes were relatively conserved within each strain and were not shared with the other strains (Table 2). This finding suggests intrastrain conservation of epitope antigenicity and might partly explain why each strain predominates in a specific population. KSHV A strain is found in the United States and in northwestern Europe, C is found mainly in Mediterranean and Middle Eastern populations, and B dominates in sub-Saharan Africa (6, 16, 36).
We and others have thus far been able to identify only four other epitopes that are all HLA-class I A*02 restricted in the complete KSHV genome. This was done by using peptides that overlap a number of conserved proteins or by using computer programs to predict HLA-binding epitopes (1, 20, 31, 33). We also evaluated K1 using a binding prediction algorithm program to identify peptides that could bind HLA-A*02 alleles, but the scores were low (23). Previous attempts to identify HLA-binding motifs by computational analysis with consensus K1 sequences also failed to predict CTL responses (1). Further studies will show why uncommon alleles are preferentially selected for CTL responses against K1 and whether this is a result of a viral immune evasion mechanism towards common HLA class I molecules.
To confirm that K1 does not change over time in an individual, we sequenced K1 in DNA samples from various time points (up to 5 years apart) in 16 patients, and no change in their specific K1 nucleotide sequences was observed (data not shown). Furthermore, K1 does not appear to change in different tumor sites within an individual. For example, in one patient with KSHV-infected primary effusion lymphoma, Castleman's disease, and KS, identical K1 sequences were reported in all three tumors (29).
The genetic changes occurring in K1 are probably a result of mutations that accumulated over epochs of viral evolution. CTL recognition is clearly associated with K1 variability, but further studies will show whether other immunological factors like humoral responses also contribute to this. Herpesviruses have evolved through cospeciation with their hosts. Evasion of all host immune control mechanisms will lead to overwhelming viral infection with subsequent death of the host and, therefore, of the virus. For viruses to persist as latent infections without causing harm, a pathogen-host equilibrium must be established (35). K1 is an early-lytic-phase antigen; given the cell-mediated responses shown here, it is possible that continual immune surveillance, even in the context of HIV-1 infection, serves to recognize cells reactivating from latency, which limits viral dissemination, thus preserving the host and therefore the virus. Our data show a clustering of functional CTL epitopes in the most positively selected region of the most variable gene of KSHV. We consider it possible that the pressure causing this selection could be a mechanism associated with virus-host natural adaptation and, therefore, survival.
J.S. and N.W. are Medical Research Council Ph.D. students, and the work was also supported by Cancer Research U.K. and The Leukemia Research Fund.
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