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Journal of Clinical Microbiology, August 2007, p. 2604-2615, Vol. 45, No. 8
0095-1137/07/$08.00+0 doi:10.1128/JCM.00431-07
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
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Division of Infectious Diseases, Department of Medicine, Case Western Reserve University, Cleveland, Ohio 44106,1 Joint Clinical Research Centre, Kampala, Uganda,2 Mbarara University, Mbarara, Uganda3
Received 24 February 2007/ Returned for modification 12 April 2007/ Accepted 4 June 2007
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0.4% and is at least 10- to 30-fold more sensitive than the original protocol. A cohort of 19 Ugandan mothers who received NVP treatment perinatally were sampled 6 weeks postdelivery. Ten of 19 HIV-1 DNA samples extracted from peripheral blood mononuclear cells had a detectable K103N (0.5 to 44%) or Y181C (0.8 to 92.5%) mutation, but only one plasma HIV-1 RNA sample had a viral population with the Y181C mutation. These findings suggest that OLA is a robust, sensitive, and specific method for the detection of low-frequency drug resistance mutations in an intrapatient HIV-1 population. |
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In addition to being the backbone of most treatment regimens, NVP is provided as a single dose to block the mother-to-child transmission (MTCT) of HIV-1 in developing countries. In the absence of antiretroviral therapy, the frequency of MTCT is approximately 25 to 48% (2, 36, 38), whereas the administration of a short course of AZT therapy near the end of gestation (7, 8, 49) or the administration of a single dose of NVP at labor can reduce the rate of perinatal transmission to less than 20% (22, 25, 32, 35, 37). Although NVP remains very effective in the prevention of MTCT (22, 32), the administration of even a single dose of NVP to HIV-infected mothers and their newborns can select for HIV-1 variants with NVP resistance mutations (8, 11-13, 15, 25, 30, 50). The use of NVP for both therapy and prophylaxis in developing countries has resulted in the rapid emergence of ARV resistance, which may hamper efforts in future anti-HIV treatment campaigns (4, 27).
HIV-1 has been categorized into 10 different subtypes that share approximately 85 to 90% sequence identity within subtypes and <85% sequence identity between subtypes (1). Intersubtype sequence variation is a formidable obstacle to genotypic drug resistance testing. In the Americas and Europe, subtype B is the most prevalent, whereas the predominant subtype in sub-Saharan Africa varies by country (1). Under drug pressure, a previously conserved amino acid may be changed to overcome drug effects. Although the rate of HIV-1 intersubtype diversity is high in general, different subtypes follow similar evolutionary routes and generally select for the same pattern of mutations for resistance to a particular antiretroviral drug. Of course, these HIV-1 drug-resistant clones typically preexist in the patient's HIV-1 quasispecies prior to treatment. Single-nucleotide polymorphisms (SNPs) proximal to that which confers drug resistance hamper efforts to generate general genotypic drug resistance assays, since the discrimination step usually involves enzymatic recognition of a DNA-DNA duplex that comprises an oligonucleotide and a patient-derived HIV sequence. Unrelated or compensatory SNPs which do not themselves confer drug resistance may induce duplex contortion, such that enzymatic recognition of the SNP of interest is inhibited.
Several mutations confer resistance to NVP (39, 43, 47), but the most common are K103N and Y181C in subtype B (5, 17, 51). Recent findings suggest that the less frequent subtype B NVP resistance mutations, i.e., G190A, Y188C, and V106M, may be more commonly selected in nonsubtype B HIV-1 isolates (14, 33, 40). A single transversion mutation from AAA or AAG (both of which encode lysine) to AAT or AAC results in the K103N mutation, whereas a single transition mutation from TAT to TGT is responsible for the Y181C mutation. The Y181C change may result in a slightly greater fitness cost than the K103N change (6), but it also confers a higher level of NVP resistance than K103N (39). Both NVP resistance mutations emerge quite rapidly and have minimal fitness costs compared to the reductions in fitness conferred by most nucleoside RT inhibitor and protease inhibitor resistance mutations (24, 41). In addition, the reversion of NVP resistance mutations in the absence of treatment appears to be slower than that with most drugs (12, 16). Even low levels of ARV resistance mutations in a patient's HIV-1 population can predict subsequent drug failure and full resistance with continued drug selective pressure (27). Considering the limited monitoring of treatment that occurs in the developing world, a rapid and inexpensive method for the detection of low-frequency SNPs may have the greatest impact in the developing world, where NVP is used as prophylaxis to prevent MTCT and where NVP is the backbone of highly active antiretroviral therapy.
Due to the cost, limited specificity, and low sensitivity of most diagnostic assays for SNPs, the number of NVP-treated patients harboring NVP SNPs may be grossly underestimated (26, 44). Direct DNA sequencing of cDNA from patient plasma or from peripheral blood mononuclear cell (PBMC) extracts, such as with the Trugene system (Bayer Diagnostics) or the ViroSeq system (Applied Biosystems), may be the most common method; but it is also the least sensitive method used to detect SNPs as minority base changes (>20 to 30%) (10, 20, 28, 44). Subcloning and sequencing of HIV-1 clones (>100) can counter this low sensitivity of bulk sequencing, but they are very costly. New approaches such as 454 pyrosequencing permit the rapid detection of SNPs in a relatively short sequence, but at an exorbitant cost (31). Heteroduplex tracking assays and restriction fragment length polymorphism analysis are less costly and relative simple methods for SNP detection, but they are also less sensitive than desirable (they detect 5 to 10% of the SNPs present in an HIV-1 population). Finally, the INNO-LiPA HIV-1 RT and PRO assays (Innogenetic, Ghent, Belgium) are oligonucleotide-based hybridization assays that can discriminate between wild-type and mutant sequences and that have the ability to detect low-frequency polymorphisms (21, 48). All of these approaches, however, have limited functionality in probing for drug resistance mutations in diverse HIV-1 genomes. The most sensitive methods for the detection of low-level SNPs usually involve PCR-based amplification and discrimination (allelic-specific PCR). Briefly, a high-fidelity, thermostable polymerase extends only primers whose 3'-terminal bases are complementary to the base which encodes drug resistance (45). However, even substitutions distal from the specific SNP can reduce oligonucleotide primer binding and create primer-template mismatches, which are poorly recognized by a high-fidelity polymerase. For this reason, most assays that use this methodology use primers with sequence identity to the HIV-1 target sequence (aside from the 3'-terminal bases that encode the SNP) and are not suitable for detection of drug resistance-associated SNPs across divergent HIV-1 subtypes (46). Unfortunately, none of these techniques are easily adopted in a resource-limited setting.
In 1995, Frenkel et al. described an oligonucleotide ligation assay (OLA) for detection of the presence of drug resistance mutations or SNPs in the HIV pol gene (19). This assay uses a thermostable, high-fidelity, template-dependent DNA ligase to join two oligonucleotides annealed to a denatured PCR product. A downstream "common" oligonucleotide is 5' phosphorylated and 3' biotinylated (19). The upstream "variable" oligonucleotide contains the complement to either the wild-type or the mutant base at the 3' end and is modified on the 5' end with one of two optically distinct fluorescent tags. Ligated products are captured on a streptavidin-coated 96-well plate and read with a fluorimeter. Although the detection of mutant present at a frequency of 3% was possible, this technique was not optimized to accommodate the significant genetic variability between HIV-1 isolates. We have modified this method to increase the sensitivity of detection of resistance mutations present at a low level to accommodate the significant genetic diversity of HIV-1 and to specifically detect low-level NVP resistance-associated SNPs (K103N and Y181C) in HIV-infected patients. To increase the sensitivity to less than 0.5%, we have tagged the upstream oligonucleotide at the 5' end with
-32P and optimized the cycling conditions and the ligase input, salt, template, and oligonucleotide concentrations. To address the diversity of HIV-1, nonstandard nucleotides were introduced into primers opposite the highly polymorphic sites in the HIV-1 sequences of different subtypes. These nonstandard bases had promiscuous base pairing or simply maintained normal base-stacking interactions but did not impair ligase recognition of the 4-nucleotide (nt) window at the oligonucleotide gap. The resulting methodology can detect extremely minority SNPs (a single base change in 1 of 200 DNA strands).
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Sample preparation. PBMC DNA was isolated from patient blood by using a QIAGEN (Valencia, CA) Blood Mini kit. First-round PCR was performed with primers RTS1 (TAAACAATGGCCATTGACAGAAGA) and RTA9 (TAAATTTAGGAGTCTTTCCCCATA), as described previously (42). A second round of PCR was performed with primers RTS2 (TCAAAAATTGGGCCTGAAAATCCAT) and RTA8 (GCTATTAAGTCTTTTGATGGGTCAT) with the same cycling conditions to produce an 839-bp amplicon. PCR cleanup was performed with a QIAquick PCR purification kit (QIAGEN). All oligonucleotides were obtained from Invitrogen (Carlsbad, CA). The purified second-round PCR products were resolved by electrophoresis on a 0.7% agarose TBE (Tris-borate-EDTA) gel, visualized with ethidium bromide, and quantified by comparing the band intensity to the band intensities for known amounts of Bio-Rad Low Mass DNA ladder (Bio-Rad, Hercules, CA) by using one-dimensional gel analysis software (Eastman Kodak, New Haven, CT). The PCR product was then diluted to 1.0 ng/µl and 5.0 ng/µl. The amount of product was also confirmed by obtaining spectrophometry measurements at 260 nm.
Assay-positive controls were obtained by insertion of the product obtained by PCR of primary patient isolates with primers RTS2 and RTA8 into pCR2.1TOPO, which was used to transform Escherichia coli. Plasmids were isolated from liquid cultures of candidate colonies, and the sequences were verified by DNA sequencing. Plasmids containing mutant or wild-type inserts were amplified with RTS2 and RTA8. The PCR product concentration was estimated as described above, and a dilution series of the appropriate clonal PCR product was run in parallel with the experimental samples with every preparation of radioactive probe.
Probe labeling.
One hundred picomoles of the upstream oligonucleotide was incubated at 37°C for 10 min with 40 U T4 polynucleotide kinase (Invitrogen), 100 pmol of 3,000 Ci/mmol [
-32P]ATP (Perkin-Elmer), and 20 µl 5x T4 PNK forward buffer (Invitrogen) in a 100-µl reaction mixture. The labeling reaction mixtures were then incubated at 65°C for 10 min and transferred to ice. Cold labeling reactions were extracted with 25:24:1 (vol/vol/vol) phenol-chloroform-isoamyl alcohol (Roche, Basel, Switzerland) and eluted from G-25 Sephadex columns (Amersham, Piscataway, NJ), according to the manufacturer's instructions.
OLA. For each reaction, 5 µl control or patient amplicon dilution, 1.5 pmol 32P-radiolabeled upstream oligonucleotide, 1.5 pmol cold downstream oligonucleotide, and 2.5 U Ampligase DNA ligase (Epicenter Technologies, Madison, WI) were added together in a 12-µl reaction mixture containing 16.7 mM Tris-HCl (pH 8.3), 0.07% Triton X-100, 0.8 mM dithiothreitol, 10 mM KCl, 8.3 mM MgCl2, and 0.83 mM NAD. The reactions were subjected to 30 cycles of 93°C for 30 s and 37°C for 4 min. The reactions were stopped by addition of 5 µl loading buffer containing 0.1 M EDTA, 0.1% Triton X-100, 25% formamide, 0.025% bromophenol blue, and 0.025% xylene cyanole in water. Three microliters of each reaction mixture was separated by 10% denaturing polyacrylamide gel electrophoresis (PAGE) for 2 h. The gels were dried at 80°C under vacuum for 1 h and exposed to film overnight.
Calculation of mutation frequency.
The bands on the gel were quantitated by using a Molecular Imager FX apparatus and Quantity One software (Bio-Rad). A set of standards, including two negative controls and 10 dilutions of a positive control (prepared as described above), were run with every preparation of labeled probe. After correction for lane noise from the standard curve, the ligation efficiency (E) was defined by fitting to the following exponential:
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Two dilutions of the PCR products from the patient samples were used for each probe: 5 ng and 25 ng (the total amount in a 12-µl reaction mixture). After calculation of the ligation efficiency for each band (equation 1), we corrected for inhibition with the high template input. In the absence of inhibition by excess template, the signal given by the 5-ng input (E5 ng) should be exactly 1/5 that given by the 25-ng input (E25 ng), or
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Quantitation controls for OLA. HIV-1 RT genes from over 100 HIV-1 subtype A- and subtype D-infected patients were sequenced previously. The PCR products from the patient samples harboring K103N, Y181C, or wild-type sequences (patients MTN121, INN131, MTN148, MTN207, MTA308, and MTA333) were cloned into pCR2.1TOPO (Invitrogen), according to the manufacturer's instructions. Plasmids were purified by using a QIAGEN Spin Mini kit and were then sequenced by using primers RTS2 and RTA8 to confirm the presence of the wild-type sequence or drug resistance mutations. To produce quantification controls for OLA, the specified RT region was amplified from these clones by PCR and then quantified on a gel and diluted to 0.05, 0.1, 0.5, 0.6, 1.2, 2.4, 3.6, 5.0, 7.0, and 10.0 ng/µl (working concentrations). These products were then subjected to OLA, as described above.
Clonal analysis for OLA. The PCR products from HIV-1-infected patients with various percentages of K103N, Y181C, or wild-type codons were inserted into pCR2.1TOPO and transformed into chemically competent Top 10 cells, according to the manufacturer's instructions. Transformants were plated on LB agar dishes with 100 µg/ml ampicillin coated with 1.6 mg 5-bromo-4-chloro-3-indolyl-ß-D-galactopyranoside. The plated bacteria were incubated for 16 h at 37°C. Up to 20 plates were generated to estimate the frequency of a drug resistance mutation in each patient. Ten to 1,000 clones (according to the frequency of the drug resistance mutations from the bulk OLA) were picked and grown in 3-ml LB cultures containing ampicillin. Aliquots of 150 µl were removed from 20 3-ml cultures and pooled for plasmid purification by using the QIAGEN Spin Mini kit. When the estimated frequency of an NVP resistance mutation was approximately 0.1%, 50 pools of 20 clones were sampled and subject to OLA. Inserts from the pools were amplified by PCR with primers RTS2 and RTA8, as described above, and diluted to 1.0 ng/µl. Mutant detection by OLA was performed with diluted PCR products. Individual plasmids from the mutant-positive pools were isolated from the remaining culture volume. Another OLA for mutant detection was performed with all individual clones from the pool to discover which clones were positive. Mutant clones were then sequenced at Davis Sequencing (Davis, CA) on an ABI 3730 genetic analyzer by using Applied Biosystems BigDye Terminator (version 3.0) sequencing chemistry.
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FIG. 1. Schematic of the oligonucleotide ligation assay. The discriminating upstream oligonucleotide (181<DM) and common downstream oligonucleotide (181>C1) are shown. Ligase is reactive only at a ligation-competent site, where perfect base pairing occurs both immediately upstream and downstream of the ligation-competent site. OLA products can be separated by denaturing PAGE (bottom).
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30-nt unligated upstream oligonucleotide was separated from the radiolabeled
60-bp ligated product on a denaturing polyacrylamide gel (Fig. 1). Although a perfect match between each of the 4 bases inside the ligase fidelity window is necessary for ligation, mismatches outside the window may also affect productive reactions (52). Reductions in ligation efficiency appear to be more related to reduced primer annealing than to inhibition of the ligase, unless, of course, these polymorphisms mapped to the 4-nt ligation window. Thus, we designed probes to minimize the impact of any mismatches caused by HIV-1 sequence diversity in the region of the targeted drug resistance mutations (see below). Accommodating HIV-1 variation in oligonucleotide probes. To optimize the oligonucleotide probe for OLA with HIV subtypes A and D, we first sequenced 137 RT-coding sequences from HIV-infected Ugandan mother-infant pairs. The alignment obtained with the ClustalW program (www.ebi.ac.uk/clustalw/) was then analyzed by using MargFreq frequency analysis software (http://sray.med.som.jhmi.edu/SCRoftware/Margfreq/) (see Fig. S1 in the supplemental material). In general, sites harboring infrequent polymorphisms (<10% of the subtype A and D sequences) were treated as nonpolymorphic. Nonstandard bases were embedded in the oligonucleotide at sites which corresponded to highly polymorphic sites in the HIV-1 sequence alignment. Deoxyuracil replaced pyrimidine polymorphisms (C and T), and deoxyinosine was placed at positions with purine polymorphisms (A and G) (Fig. 2). At sites where polymorphisms included transversions, we used deoxyuracil to avoid purine-purine mismatches, which might distort a probe-template duplex to a greater extent than would a pyrimidine-pyrimidine mismatch.
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FIG. 2. Design and sequence of oligonucleotide probes for OLA directed at codons 70, 103, and 181 in the HIV-1 RT-coding sequence. A frequency analysis for the entire cohort was used to design the oligonucleotides, a full summary of which is provided in the supplementary material. Promiscuous nonstandard bases are underlined. Asterisks denote the position of the 5' end label. The codons of interest are shaded. The nucleotides which confer amino acid changes are shown in boldface. The amino acids encoded by each codon are shown at the right (A). Probes for site 70 are shown aligned to representative dominant sequences from a MTCT cohort. (B) Probes for sites 70, 103 and 181 are shown. wt, wild type; dr, drug resistant. The nomenclature for the probes is as follows: the first number indicates the site; < denotes upstream; > denotes downstream; D and C denote whether an oligonucleotide is discriminating or common, respectively; and W and M denote wild type and mutant, respectively. We have arbitrarily assigned a "1" or a "2" to oligonucleotides which probe for synonymous codons.
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AGA change or an AAG
AGG change in the codon codes for arginine at this position. Since both wild-type codons were found in the dominant sequences, we included the third base in the common oligonucleotides at this site such that the upstream site 70 oligonucleotides discriminated between adenosine or guanosine at the second nucleotide in the codon (Fig. 2). At site 103, we designed three variable oligonucleotides, one to detect the wild-type codon (AAA) and one to detect each of the two synonymous drug resistance mutant codons (AAT and AAC). We found no evidence of the lysine synonym AAG at this position. The discriminating base for site 103 was placed in the downstream oligonucleotide such that the upstream oligonucleotide was common for detection of both wild-type and mutant polymorphisms (Fig. 2). The design of the oligonucleotides for site 181 was more straightforward (Fig. 2). The vast majority of only the TGT cysteine codon emerges from the wild-type TAT codon to encode NVP resistance.
Optimization of OLA efficiency.
We optimized the OLA reaction for the enzyme, template, and oligonucleotide input concentrations as well as for the salt content and the cycling conditions (Fig. 3). These optimizations were performed by using a clonal template amplified from plasmids containing genes for known HIV RT mutations (K70R, Y181C, and K103N) or wild-type HIV RT genes. The results for the K103N (AAA
AAC) mutation and wild-type sequences are shown in Fig. 3. The use of cloned DNA of known sequence was necessary to control for selectivity and sensitivity. First, the ligase concentration was varied over a 30-fold range, based on the standard concentration previously described for optimal ligation. It is worth mentioning that ligation product formation increased linearly up to 0.5 U/µl, which was the highest concentration tested (Fig. 3A). Second, the oligonucleotide input was optimized (Fig. 3B). In any given reaction, both oligonucleotides are present in equimolar amounts, such that the x axis reports the additive quantities of the two oligonucleotides. The amount of the specific reaction product (wild-type K103) was high and relatively insensitive to salt in the range of 10 to 50 mM KCl (Fig. 3C, dashed line). Based on these controls, all subsequent ligation reactions included 0.2 U/µl of ligase in a reaction mixture containing 10 mM KCl and 0.75 pmol/µl each of the two oligonucleotides. When low levels of NVP resistance mutations in an HIV-1 quasispecies were examined, it was necessary to use a maximal template amount (25 ng or 2 ng/µl) for the detection of the mutation. However, the use of the wild-type oligonucleotides with 25 ng PCR product from a patient sample typically resulted in a level of ligation beyond the linear range of the assay. Thus, we also performed ligations with 5 ng (0.4 ng/µl) of template with both the wild-type and the mutant oligonucleotide pairs.
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FIG. 3. (A) Ligation product as a function of ligase input; (B) ligation product as a function of probe input. Both probes were present in equimolar amounts (x axis). For example, the right-most datum point was the result of oligonucleotide ligation when both oligonucleotide 103<C1 and oligonucleotide 103>DW1 were present at 2.5 pmol. (C) The dotted line shows the relative ligation product from the wild-type site 103 oligonucleotides on a wild-type template. The solid line is the ratio of the correct ligation signal to the incorrect ligation signal (i.e., mutant 103>DM2) on a wild-type template. The data in panels A to C were obtained by using 0.75 pmol 5' 32P-labeled 103<C1 oligonucleotide, 0.75 pmol 103>DW1 oligonucleotide, 2.5 U Ampligase DNA ligase, 10 mM KCl, and 25 ng template MTN207-6, except where noted otherwise. (D) Autoradiograph showing 25 ng of five template mixtures containing 50%, 10%, 3%, 1%, and 0% mutant template subjected to increasing OLA thermal cycling. (E) Traces of the data shown in panel D. (F) Densitometry values were used to calculate the signal per 1% mutant content. Bars represent the signal given by each percentage in all four mixtures with all cycling conditions as a fraction of that given by the 1% mutant mixture at 30 OLA cycles.
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OLA specificity and universality for diverse HIV-1 sequences. The specificities and ligation efficiencies were examined for all of the wild-type and mutant oligonucleotide pairs at sites 70, 103, and 181. Figure 4 summarizes the results for the specificity and sensitivity of the 103 probes for ligation with known subtype A templates of increasing concentration (0.25 to 50 ng). The clone MTN207-6 template harbored a wild-type codon at site 103 (AAA), whereas the mutant Asn codon (AAC) and Asn (AA-T) were found in clones MTN207-4 and MTN148-28, respectively (all clones were subtype A). In general, higher levels of specific ligated oligonucleotides were recovered with increasing concentrations of template (from 0.25 to 18 ng). The ligation reaction was inhibited with amounts of template above 25 ng, suggesting that the excess DNA template was trapping the enzyme (Fig. 4). A very low level of background ligation was observed with the mutant AA-T and AA-C oligonucleotide sets on the (AAA) MTN207-6 wild-type template compared to the level of background ligation observed with specific wild-type oligonucleotide set (Fig. 4A and B). A similar specificity was found with the site 103-specific probe sets with a MTN207-4 (site 103 AAC) mutant template. However, significant background ligation was observed with the site 103 AA-C oligonucleotide set and the MTN148-28 (site 103 AAT) template (Fig. 4C). This background ligation with the AAC mutant probe set on a mutant template is of little consequence when the fraction of mutant N103 compared with the fraction of wild-type K103 in the HIV-1 population of a patient is reported.
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FIG. 4. (A) Autoradiographs showing the ligation products from the correct probe pair 103<C1 and 103>DW1 (AA-A) on the wild-type template as well as ligation products of the mutant-specific probes 103>DM1 (AA-T) and 103>DM2 (AA-C) on the same template; (B) densitometry traces of the autoradiograph shown in panel A; (C) densitometry traces of the ligation products obtained by using the correct probe pair 103<C1 with 103>DM1 (AA-T; circles), the incorrect probe pair 103<C1 with 103>DM2 (AA-C; triangles), and the incorrect probe pair 103<C1 with 103>DW1 (AAA; squares); (D) densitometry traces of the ligation products obtained by using the correct probe pair 103<C1 with 103>DM2 (AA-C; triangles), the incorrect probe pair 103<C1 with 103>DM1 (AA-T; circles), and the incorrect probe pair 103<C1 with 103>DW1 (AAA; squares). wt, wild type; mut, mutant.
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FIG. 5. OLA of a diverse panel of clones with mutant and wild-type probes for sites 70, 103, and 181. The oligonucleotide nomenclature and the general specificity of the probes are shown opposite each clonal template. The sequences of the clone at each drug resistance site is shown at the right. The codons of interest are shown in gray boxes. The general probe sequence is the first sequence for each site. The diverse clone panel was probed with site 70 oligonucleotides (A), site 103 oligonucleotides (B), and site 181 oligonucleotides (C).
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Aside from the cross-reactivity caused by G-to-T base pairing, we have found a higher degree of fidelity for base pairing 5' to the ligation site (the 3' end of the upstream oligonucleotide) than for base pairing 3' to the ligation site. Site 181 oligonucleotides (5' discrimination) were more specific and gave less nonspecific ligation, whereas site 70 oligonucleotides (3' discrimination) were more cross-reactive (Fig. 4C; Fig. 5A and B). As described above, the reduced fidelity at site 70 did not present a problem, since cross-reactivity was limited to the wild-type or the mutant synonymous codons. Considering these differential fidelities, we suspect that Ampligase is more selective for correct base pairing at the 5' position of the upstream oligonucleotide than at the 3' position of the downstream probe (compare Fig. 5B and C). This asymmetric fidelity might aid in the design of oligonucleotides that can be used to probe for other SNPs.
In addition to asymmetric fidelity in the ligase, it is not clear how upstream mismatches affect ligation efficiency or fidelity. In Fig. 5A, clones MTA308-3 and MTN121-1 (AAG at site 70) directed nonspecific ligation of the AAA probe set. Ligation must then have occurred, despite an A-C mismatch downstream of the ligation-competent site. MTA308-4 and MTA341-1 did not exhibit the same nonspecific ligation of the AGA probe set at their AGG codons (a similar A-C mismatch). Although the G
A polymorphism at the second base in codon 70 may offer an explanation, this is probably not the case, as clones MTA333-4 and MTA307-4 (both with AGA at site 70) directed nonspecific ligation of the AGG probe set (Fig. 5A). The higher fidelity obtained with MTA308-4 and MTA341-1 might then be attributed to a pyrimidine-pyrimidine (T-T and T-C in MTA308-4 and MTA341-1, respectively) mismatch just upstream of the ligase window, a condition which would have been expected to ablate ligation completely. At site 103 (Fig. 5B), clone INU92-1 failed to direct even specific ligation, presumably because of an upstream purine-pyrimidine (A-T) mismatch.
Assessing mutation frequencies in clonal mixtures. When HIV-infected patient samples are analyzed, SNPs such as drug resistance mutations may be found in a small fraction of the HIV-1 clones found in quasispecies (34, 43). However, even a small percentage of drug-resistant clones could have an impact on the treatment outcome (27). Thus, it was important to determine the level of OLA sensitivity in controlled mixtures of site 103 mutant and wild-type clones. The MTN207-4 mutant clone was mixed with the MTN207-6 wild-type clone such that mutant content was 50%, 42.9%, 33%, 20%, 7.7%, or 2.4% of the wild-type content. A total of 25 ng of this template mixture was then used in triplicate ligation reactions specific for wild-type and mutant codons AAA and AAC, respectively (Fig. 6A). The densitometry data plotted in Fig. 6B show a mutant content-dependent increase in the signal from the AAC probe and a wild-type-dependent decrease in the signal from the AAA probe. The same experimental protocol was performed for site 70 and site 181 mutant detection versus wild-type detection in a mixture, and similar results were obtained (data not shown).
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FIG. 6. (A) OLA was performed with probes 103<C1 and 103>DW1 (AAA; top row) and 103<C1 and 103>DM2 (AAC; bottom row) on 25 ng of several mixtures of MTN207-6 and MTN 207-4 templates; (B) intensities of the bands in panel A as a function of the MTN207-4 content. The data were normalized to the 103<C1 ligation to 103>DM2 by use of a 1:1 mixture.
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TABLE 1. Comparison of repetitive OLA analyses with clone frequency
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TABLE 2. Comparison of drug resistance found in PBMC HIV-1 DNA to drug resistance found in plasma RNA and pool size of each
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The OLA results for the Y181C mutation derived from PBMC DNA were compared to those derived from plasma RNA (which was reverse transcribed to cDNA). The Y181C mutation was detected in only one plasma sample, whereas it was detected in five samples of PBMC DNA. Undersampling appears to be a greater issue for plasma samples than for PBMC samples, even though viral loads are typically higher in the latter types of samples. RNA for OLA was obtained by the Roche 1.5 Amplicor procedure. An equivalent of 25 µl of plasma (or 1/40 of the number of viral RNA copies/ml) was used in the OLA, i.e., an amount similar to that used for viral RNA load determination. It is not clear why Y181C was not detected in the plasma RNA samples of MTN208, MTN210, and MTN228, considering that sufficient RNA copies were sampled (Table 2). Unlike the OLA performed with PBMC DNA, the viral RNA from plasma must first be reverse transcribed to cDNA and then amplified by PCR. The reverse transcription step is not cycled, and thus the conversion of RNA to cDNA may be a fairly inefficient process (less than 50% with contaminating nucleic acids) (29). As discussed above, inefficient RNA-to-cDNA conversion may have been responsible for the reduced sensitivity of OLA with the plasma RNA sample. However, it is also possible that the PBMC DNA represents an archive of HIV-1 DNA with NVP resistance mutations that may persist longer than the relatively short-lived HIV-1 particles in plasma.
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One major difficulty in the application of OLA or other techniques for the detection of SNPs in HIV isolates is the extensive genetic diversity of the HIV-1 genome. Unlike allele-specific PCR, OLA is less sensitive to genetic diversity outside of the narrow 4-nt window of ligase specificity located at the gap between the abutted oligonucleotides. Nonetheless, the diversity of the HIV-1 genome could still affect both the specificity and the sensitivity of OLA when samples from patients in the developed world are analyzed. Our recent studies with OLA have focused on NVP resistance mutations that may emerge in NVP-treated mothers and their infants. These studies are based in Uganda, where subtypes A and D typically cocirculate. To provide an accommodation for the genetic diversity between subtypes A and D, we designed oligonucleotides with nonstandard nucleotides at heterogeneous sites adjacent to the drug resistance mutations. These modified oligonucleotides maintained the base pairing or retained the DNA duplex conformation for the vast majority of HIV-1 isolates in our cohort, but more importantly, they were efficient substrates for specific ligation on the template. In the original protocol, a high degree of sequence variability in the template was typically associated with ligation failure (52), the probable cause of assay error (23). Since both wild-type and mutant oligonucleotides have the same sequence, aside from the discriminating nucleotide, mismatches which disrupt annealing or ligation are problematic. Sequencing analyses of each of the patient samples and the clones used in this study revealed considerable genetic diversity near the mutation sites of interest. In fact, the vast majority of sequence variation near the ligation window was accommodated by the nonstandard bases incorporated into the oligonucleotides.
Although the OLA was highly sensitive and specific, we did observe a low background ligation signal with specific primary HIV-1 sequences of subtypes A and D. The low background signal simply decreased the overall sensitivity of mutant detection in a population from approximately 0.01% to approximately 0.4%. As described above, we established this conservative cutoff on the basis of the findings of experiments performed with genetically diverse clinical isolates and with conditions of in vitro mixing of known clones. For example, a low level of background ligation was observed with clones MTN207-6 and MTN207-4 from patient MTN207, which had similar sequences at the oligonucleotide binding sites, aside from the AAA and AAC codons, respectively, at position 103 (Fig. 5B). Although when the data were normalized to the probe-specific activity the level of nonspecific ligation was low (compare Fig. 4B to Fig. 5B for MTN207-6), we observed positive and reproducible background signals from these clones with the site 103 probes. In contrast, our findings for sites 70 and 181 suggest that there is a higher fidelity when we probed for mutations with the discriminating base in the upstream oligonucleotide rather than in the downstream oligonucleotide.
We have established rigorous and accurate background levels for OLA, based on these primary HIV-1 sequence controls, which to date has not been performed with other methods for the detection of HIV-1 mutations present at low frequencies. Using simple mixing experiments with known control templates, we can detect mutations that are present at a level as low as 0.01%, but in most instances, this level of detection is impossible for clinical isolates due to the input of HIV-1 templates into the assay mixture. For the detection of a 0.01% mutant content in an HIV-1 population, 10,000 HIV-1 RNA or DNA copies must be placed into the reaction mixture, whether it is for OLA or allele-specific PCR. Given the efficiency of reverse transcription and PCR and our empirical tests of these limits, it is quite likely that viral loads of >1,000,000 RNA copies/ml or >200,000 DNA copies/ml are required to achieve a 0.01% detection limit. We have established a more conservative SNP limit of 0.4% and found that accurate levels of K103N or Y181C mutations could easily be detected from PBMC DNA but not from plasma viral RNA. These results suggest that the conversion of RNA to cDNA is fairly inefficient, such that higher viral loads are necessary for analyses of SNPs. In addition, it is also quite possible that the K103N and Y181C mutations are archived in the PBMC population but are not found in the circulating virus population. It is still unclear if the archived or circulating population of virus will have a greater effect on the subsequent treatment outcome. These studies are still under way.
While K103N and Y181C are certainly important NVP resistance mutations, other mutations have been associated with NVP resistance after the administration of a single dose, such as Y188C (26). Following the standardization of OLA with radiolabeled oligonucleotides, we are now using a downstream fluorophore-labeled oligonucleotide and an upstream oligonucleotide with a short "zip code" tag sequence. This zip code sequence anneals to one of a hundred different fluorescent beads, which are then analyzed by three-color flow fluorimetry. This new, high-throughput technology will permit us to probe for multiple HIV-1 drug resistance mutations and wild-type sequences in a single reaction.
Published ahead of print on 13 June 2007. ![]()
Supplemental material for this article may be found at http://jcm.asm.org/. ![]()
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