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Journal of Virology, October 1998, p. 8240-8251, Vol. 72, No. 10
0022-538X/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.
Evolution of Envelope Sequences from the Genital
Tract and Peripheral Blood of Women Infected with Clade A Human
Immunodeficiency Virus Type 1
Mary
Poss,1
Allen
G.
Rodrigo,1
John J.
Gosink,1
Gerald H.
Learn,1
Dana
de Vange
Panteleeff,1
Harold L.
Martin Jr.,2
Job
Bwayo,3
Joan K.
Kreiss,2 and
Julie
Overbaugh1,*
Department of
Microbiology1 and
Departments of
Medicine and Epidemiology,2 University of
Washington, Seattle, Washington 98195, and
Department of
Medical Microbiology, University of Nairobi, Nairobi,
Kenya3
Received 12 February 1998/Accepted 23 June 1998
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ABSTRACT |
The development of viral diversity during the course of human
immunodeficiency virus type 1 (HIV-1) infection may
significantly influence viral pathogenesis. The paradigm for HIV-1
evolution is based primarily on studies of male cohorts in which
individuals were presumably infected with a single virus variant of
subtype B HIV-1. In this study, we evaluated virus evolution based on sequence information of the V1, V2, and V3 portions of HIV-1 clade A
envelope genes obtained from peripheral blood and cervical secretions of three women with genetically heterogeneous viral populations near
seroconversion. At the first sample following seroconversion, the number of nonsynonymous substitutions per potential nonsynonymous site (dn) significantly exceeded substitutions at potential synonymous sites (ds) in plasma viral sequences from all individuals.
Generally, values of dn remained higher than values of ds as
sequences from blood or mucosa evolved. Mutations affected each of the
three variable regions of the envelope gene differently; insertions and
deletions dominated changes in V1, substitutions involving charged
amino acids occurred in V2, and sequential replacement of amino acids
over time at a small subset of positions distinguished V3. The
relationship among envelope nucleotide sequences obtained from
peripheral blood mononuclear cells, plasma, and cervical secretions was
evaluated for each individual by both phylogenetic and phenetic
analyses. In all subjects, sequences from within each tissue
compartment were more closely related to each other than to sequences
from other tissues (phylogenetic tissue compartmentalization). At time
points after seroconversion in two individuals, there was also greater
genetic identity among sequences from the same tissue compartment than
among sequences from different tissue compartments (phenetic
tissue compartmentalization). Over time, temporal phylogenetic and
phenetic structure was detectable in mucosal and plasma viral samples
from all three women, suggesting a continual process of migration of
one or a few infected cells into each compartment followed by localized
expansion and evolution of that population.
 |
INTRODUCTION |
Genetic variation in the
genome of human immunodeficiency virus type 1 (HIV-1) is a
hallmark of viral infection. Diversity in the viral genome is due in
part to the high error rate and lack of proofreading activity of the
retroviral reverse transcriptase (13, 14, 27) and is
influenced by the cellular (11, 21, 26) and immunological
(1, 2, 7, 32, 43) environment of each host. In cohorts that
have been most intensively studied, viral population complexity is
generally low near the time of infection and increases over time
(3, 19, 33, 60). The prognostic value of viral diversity at
any time point in infection remains to be determined. Some theoretical
models predicted that disease would ensue if a threshold of viral
diversity was exceeded (47, 48). Clinical data, however,
suggest that the development of viral diversity may be correlated with
a prolonged asymptomatic phase (18, 37, 42, 71).
Previous studies of viral transmission and subsequent viral evolution
have focused primarily on male cohorts infected with clade B HIV-1. The
virus population at transmission or seroconversion in these individuals
was homogeneous (44, 70, 74, 75). The earliest evidence of
viral diversity in individuals infected with a single virus species was
5 to 12 months postseroconversion (18, 19, 71). In
contrast, in cohorts of women from East Africa infected with
HIV-1 subtypes A, C, and D, the virus population detectable at
seroconversion was heterogeneous (28, 57). There have been
no studies of HIV-1 evolution in women who harbor a diverse virus
population at the time their HIV-1-positive status was determined.
The mutational history of an evolving viral genome is a reflection of
two processes: genetic drift and selection for viral variants that are
more fit for a given host environment. Studies of viral evolution
frequently involve portions of the envelope gene, which encodes
the envelope glycoprotein of HIV-1, gp120, because it contains
determinants of cell tropism (9, 10, 16, 23, 25, 29, 49, 62)
and is a target of the host immune system (2, 31, 32, 36,
77). In the absence of positive selection, substitutions that are
silent (synonymous mutations) will proportionally exceed substitutions
that lead to amino acid changes (nonsynonymous mutations), since most
structural changes in a protein are deleterious. Indeed, in some
individuals infected with a homogeneous virus population, substitutions
that characterize viral sequences obtained near seroconversion are predominantly silent (36, 53). On the other hand, a high
incidence of nonsynonymous site changes in sequences of the envelope
gene would imply that forces which favor diversity in this gene are operative. At various times following infection, dn (the number of
nonsynonymous substitutions per potential nonsynonymous site) does
exceed ds (the number of synonymous substitutions per potential synonymous site) in the envelope gene in some individuals initially infected with a homogeneous virus population (5, 37, 71). Because viral populations in cohorts of African women were
heterogeneous at seroconversion, viral evolution may proceed
differently than that reported in longitudinal studies of individuals
who harbor a single genotype at seroconversion.
Longitudinal studies on viral genetic diversity generally examine viral
sequences obtained from cells or plasma of peripheral blood. However,
variants that differ from those found in peripheral blood have been
found in other tissues (4, 12, 21, 30, 58), including
genital secretions (17, 50, 57, 76), at different times
during infection. Tissue variants distinct from those in peripheral
blood may arise because of selective migration of a subset of infected
cells to a tissue or variants may arise independently in response to
unique selection pressures that each tissue site may provide. There is
evidence to support independent evolution of lung-specific HIV-1
variants in some symptomatic individuals (26). It will be
important to determine if viral populations in different sites, such as
genital mucosa, evolve in concert with, or independently of, variants
in peripheral blood in order to design and evaluate effective
antiretroviral therapies.
In this study, we analyzed the evolutionary relationships of envelope
sequences in peripheral blood mononuclear cells (PBMCs), plasma, and
cervical secretions during the first 1.5 to 2.5 years following
seroconversion in three women infected with clade A HIV-1
(56). Two of these women (Q23 and Q47) had heterogeneous virus populations in cervical secretions and PBMCs at seroconversion, and the third (Q45) had viral heterogeneity in PBMCs but not in cervical samples (57). We applied phylogenetic and phenetic methods to gain insight into the dynamic events that characterized the
period of asymptomatic infection in these individuals. Our results
demonstrate that substitutions resulting in amino acid changes are
dominant at seroconversion in these individuals and that, at any point
in time, different tissues of women infected with clade A HIV-1 may
harbor phylogenetically and phenetically distinct viral variants.
 |
MATERIALS AND METHODS |
Cohort information and samples.
The cohort for this study
and the methods of sample collection have been previously described
(57). Briefly, women were participants in an HIV-1
seroincidence study in Mombasa, Kenya (41). Blood samples
and cervical swab samples were collected approximately 1 week following
seroconversion and at 3- to 6-month intervals thereafter. All times in
this report are referenced to the last negative serology (post-negative
serology [PNS] time point) for each subject. None of the women
exhibited clinical signs referable to their HIV-1 infection, and none
received antiretroviral treatment during this study. Viral load in
plasma samples was determined by a competitive PCR method as previously
described (35, 45) and is shown in Table
1.
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TABLE 1.
Summary of sample collection dates, plasma viral burden,
and number of clones sequenced from each tissue for three
women infected with clade A HIV-1
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Envelope gene cloning.
A 1.2-kb fragment that encompassed
the majority of the HIV-1 surface glycoprotein-coding region was
amplified by nested PCR from PBMCs and cervical secretions as
previously described (57). Plasma viral RNA was isolated
(6), and cDNA was prepared by using primer env 12 (CCTGGTGGGTGCTACTCCTA). Plasma viral cDNA was amplified
under the same conditions as used for proviral DNA (57). For
all samples, multiple PCRs were performed with serial dilutions of
template. In most cases, envelope gene fragments could not be amplified
from cervical swab samples if lysates were diluted. Fragments from
positive PCRs were cloned into either M13r19 or pCRII (Invitrogen
Corporation, San Diego, Calif.), and the V1, V2, and V3 domains were
sequenced by the Sanger dideoxy-chain termination method
(61).
Sequence alignment.
The nucleotide regions defining the V1,
V2, and V3 loops of sequences from PBMC, plasma, and cervical swab
samples from an individual were aligned to each other manually. Regions
of ambiguous alignment were removed. If identical sequences were
obtained from a single PCR, only one representative sequence was
included in the final data set to avoid bias introduced from resampling
the same template. The difference between values obtained for distance analysis using a representative data set with all sequences from Q23
versus the same data set with redundant sequences removed was, in
general, less than 0.1%, with a maximum difference of 0.3% observed
for one data point. The number of clones analyzed in the final data set
for each individual and the number of PCRs from which they were derived
are shown in Table 1.
Nucleotide distance analysis.
Pairwise nucleotide distances
were calculated by the Kimura two-parameter model in MEGA
(34), using the pairwise-deletion option. For each sample,
ds or dn was computed in MEGA (34) with the Jukes-Cantor
correction as described elsewhere (46).
Phylogenetic tree construction.
For each individual,
phylogenetic trees were constructed by the neighbor-joining method
using a Kimura two-parameter distance matrix and a
transition-to-transversion ratio of 2. Analyses were performed with
DNADIST and NEIGHBOR, part of the PHYLIP suite of programs
(22). Bootstrap values were determined from 1,000 bootstrap
resamplings of the original data by using SEQBOOT (22) and jumbled sequence addition order during tree building.
Phylogenetic compartmental structure analysis.
Phylogenetic
evaluation of sequence data is used to determine ancestral
relationships among sequences. We used a cladistic method (64,
65) to determine if HIV envelope gene sequences from within any
one compartment (i.e., PBMCs, plasma, or cervical secretions) shared
more common ancestry than to sequences derived from different
compartments. The null hypothesis, in this case, would accept that
assemblages of sequences were due to chance events and not to tissue
compartmentalization of variants. A phylogenetic tree was constructed
for sequences from the entire data set of each individual, and
sequences from all three compartments were evaluated at each time
point. A new, three-state character was created such that sequences
were assigned the same character state based on compartment (e.g.,
PBMC = 1, plasma RNA = 2, cervical secretion = 3). The
number of changes or evolutionary steps required to fit this character
to the phylogenetic tree was computed by using MacClade 3.06 (40). If all sequences in a compartment from a time point
were monophyletic, the maximum number of character state changes would
equal the number of compartments (three, in this case) minus 1 (because
there would be one source compartment to colonize the others). If,
however, sequences from one compartment were more closely related to
sequences from other compartments, the number of changes would
increase. The number of changes represents a most parsimonious estimate
of the minimum number of putative ancestral viruses (free or cell
associated) that migrated from one compartment to another sufficient to
explain the pattern of relationships on the phylogenetic tree.
Slatkin and Maddison (
64,
65) did not address in depth the
issue of phylogenetic uncertainty and how this translates into
uncertainty in the estimation of
s (the minimum number of
migration
events). Depending on the quality of the data, the
relationships
implied by the phylogenetic tree are subject to greater
or lesser
support. To incorporate this uncertainty into our estimate of
s, we calculated the mean and variance of
s
(

and
ss2,
respectively) for each of 100 bootstrap trees which were inferred
from
the nucleotide sequence data set of each individual. To test
whether
s was greater than expected from a random sample of
sequences
from a population with no compartmental structure, 100 randomly
branching trees with the same number of sequences were
generated
by using the random joining/splitting option in MacClade 3.06
(
40) to obtain
rand and
srand2, the mean and variance of
s, from the profile of random trees.
Thus, we obtained a
null distribution of the statistic,
s, against
which
observed values could be compared. Results are shown as
the ratio of
the average length of the bootstrap trees to the
average length of the
randomly branching trees for each time point.
The standard deviation of
the ratio was calculated by standard
methods (
59).
Phylogenetic temporal structure analysis.
Temporal
relationships among viral sequences from each tissue compartment were
evaluated in a manner similar to that described above. In this case,
the new character contained character states that represented time
points from which the sequences were obtained. Since it is not possible
for sequences from a later time point to give rise to sequences
obtained earlier, directionality was imposed on the character by
constructing a step matrix in MacClade 3.06 (40). The step
matrix weighted a particular character change to disallow sequences
obtained later from giving rise to sequences obtained earlier in time.
The step matrix was also ordered such that a change from time point 1 to time point 2 required one step, a change from time point 1 to time
point 3 required two steps, and so on. Bootstrap and random trees were
generated as described above and scored for the time state character
for each tissue compartment individually up to and including the time
point under consideration.
Phenetic compartmental and temporal analysis.
Whereas
molecular phylogenetic studies determine ancestral relationships among
sequences, phenetic analyses determine the degree of genetic similarity
among sequences. To determine if sequences from any compartment (or
time point) shared more genetic identity with each other than with
sequences from other compartments (or time points), we used Mantel's
test (66, 67), a generalized regression permutation
procedure which compares two distance matrices. One distance matrix
consists of pairwise Kimura two-parameter distances of sequences from
all compartments obtained at a given time point. The second matrix,
Mc, is an idealized matrix of the same
dimensions such that
Mc(
i,
j) = {0
if sequence
i is from the same compartment as sequence
j 1 otherwise
The test statistic is the square of the Pearson
correlation coefficient,
r2, computed
over all pairs of elements, excluding the diagonal,
of both matrices.
If sequences from each compartment are more
similar to other sequences
in that compartment than to sequences
from different compartments, then
r2 will be high. The null distribution
was constructed by permuting
the rows and columns of the idealized
matrix 1,000 times and counting
the number of times the value of
r2 is exceeded. The hypothesis that
there is compartmental phenetic
structure is rejected if more than 5%
of the permutations exceed
r2.
The same procedure was used to test for temporal phenetic structure in
each compartment; however, the idealized matrix for
temporal structure,
Mt, was modified to reflect the ordinal nature
of sampling time as follows:
Mt(
i,
j) = {0
if sequence
i is from the same time point as sequence
j|
k
m| if sequence
i
is from time point
m and sequence
j is
from time point
k
Nucleotide sequence accession numbers.
Sequences
have been deposited in GenBank with accession no. AF047979 to AF048685.
 |
RESULTS |
Nucleotide substitutions.
The relative magnitude of ds and dn
can elucidate the selection pressures that operate on a viral
population. A population is defined as being under positive selection
if the selection coefficient is greater than 0, which occurs if dn is
greater than ds. We determined average dn and ds for sequences obtained
from tissue samples at every time point for each subject (Fig.
1). In plasma RNA sequences obtained
at seroconversion from all individuals, dn was significantly greater
than ds. Similarly, dn was also statistically greater than ds in
sequences obtained from PBMC samples from Q23 and Q45 and from cervical
swab samples from Q23 at seroconversion. At individual time points
after seroconversion, however, dn was significantly greater than ds
only for Q45 plasma viral sequences.

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FIG. 1.
Average intra-time point ds and dn for sequences from
Q23, Q47, and Q45. At each time point, ds and dn were determined for
sequences of the V1, V2, and V3 portions of the HIV-1 envelope gene
that were obtained from cervical (Cx), plasma RNA (Rn), and PBMC (Pb)
samples from each subject. Significant differences between dn and ds
are indicated by * (P < 0.05) and **
(P < 0.01).
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To determine if selection was acting on viral populations as they
evolved from those detected at seroconversion, we estimated
dn and ds
for sequences obtained from samples at each time point
compared with
seroconversion sequences. Throughout the time period
examined, dn
exceeded ds, on average, for all tissue variants
from all individuals
(Fig.
2) except for sequences from Q45
cervical
swab samples. Accumulation of nonsynonymous and
synonymous substitutions,
however, occurred at the same rate in Q23
plasma sequences (0.42
and 0.46% per year, respectively). There were
insufficient data
points for Q47 and Q45 samples to accurately estimate
rates. Thus,
substitutions involving nonsynonymous sites were dominant
during
the first two years of viral evolution in all subjects.

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FIG. 2.
Average inter-time point frequencies of ds and dn for
sequences from Q23, Q47, and Q45. Values of dn and ds were determined
by pairwise comparison between sequences from a tissue at each sample
point and sequences obtained from that tissue at the
seroconversion sample. The average difference between dn and ds,
evaluated by t test, was significantly greater than zero for
all Q23 tissues (P < 0.001 for all tissue isolates)
and Q47 tissues (P < 0.05 for cervical [Cx],
P < 0.005 for PBMC [Pb], and P < 0.05 for plasma RNA [Rn] samples) and for Q45 PBMC (P < 0.005) and plasma viral RNA (P < 0.001)
sequences.
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Phylogenetic and phenetic relationships among tissue variants.
To determine evolutionary relationships among sequences obtained from
each individual, a phylogenetic tree was constructed for each
subject by neighbor-joining analysis (Fig.
3). Trees representing both Q23 and Q47 sequences showed similar radiating branch
patterns, characteristic of rapidly evolving populations (63). The tree representing Q45 sequences clearly showed
that two distinct genotypes (4.5% average pairwise difference
between the two genotypes) were present at seroconversion and,
for PBMC samples, at all subsequent sample points. Only one of these
genotypes was detected in Q45 mucosal samples. Sequences from the same
date and tissue tended to cluster on trees for all individuals,
although there was no bootstrap support greater than 75% for most
branches. Therefore, we used a cladistic method described by Slatkin
and Maddison (64, 65) to test the hypothesis that
sequences obtained from a tissue were more closely related to each
other than to sequences from a different tissue. Viral sequences from
all three subjects showed significant phylogenetic tissue
compartmentalization (Fig. 4).
Phylogenetic compartmentalization of tissue variants was statistically
significant at all time points sampled for Q47. Statistically
significant compartmentalization also occurred for the virus population
sampled from Q23 and Q45 but was not evident during the first year of
infection. Identical results were obtained if sequences derived only
from PBMC and mucosal samples were evaluated (data not shown), with the
exception of the 23.5-month PNS sample from Q23 (bootstrap to random
tree length ratio = 0.81; standard deviation, 0.22). Thus, we
demonstrated that the assemblage of sequences on the phylogenetic
trees reflected significant ancestral relationships based on
tissue of origin and not chance associations.

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FIG. 3.
Phylogenetic trees derived from sequences obtained from
Q23, Q47, and Q45. Trees were constructed by the neighbor-joining
method. Sequences are represented by diamonds squares, and circles, for
clones derived from PBMCs, plasma RNA, and cervical samples,
respectively, containing a number that indicates the months PNS that
the sample was taken. Branch lengths are drawn to scale. The scale bars
represent 0.05 change per average nucleotide position.
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FIG. 4.
Phylogenetic and phenetic evaluation of tissue as a
character state for Q23, Q47, and Q45. Tree lengths were determined, as
described in Materials and Methods, for 100 bootstrap trees and 100 randomly constructed trees. Tree topology for bootstrap trees was based
on nucleotide sequence data of the V1, V2, and V3 portions of the
envelope gene, but tree lengths were based on character state changes
between tissues. The ratio of these tree lengths is plotted for each
time point. Error bars indicate 1 standard deviation. Mantel's test
was used to determine phenetic relationships among tissue isolates.
Time points at which tissue isolates are phenetically distinct are
boxed, and levels of significance are indicated by * (P < 0.05) and ** (P < 0.01).
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Viral sequences are frequently evaluated based on sequence genetic
identity (phenetic structure) rather than ancestral affiliation
(phylogenetic structure). Although it is often true that samples
which
exhibit phenetic structure also exhibit phylogenetic structure,
the
converse is not necessarily true. For example, sequences that
cluster
on two different branches of a phylogenetic tree may share
a most
recent common ancestor but not have phenetic structure
if the distance
separating the branches is great. Time points
where tissue sequences
from a compartment have significant phenetic
structure were determined
by using Mantel's test and are indicated
in Fig.
4. Phenetic
structure among tissue variants was not apparent
at seroconversion in
any of the individuals. Significant tissue-specific
phenetic structure
was detected at all time points after the seroconversion
sample from
Q47 and transiently for the 9.5-month PNS sample from
Q23. Both of the
later samples at 23.5 and 29 months PNS from
Q23 also showed phenetic
structure. In contrast, there was no
phenetic tissue affiliation among
sequences from Q45 at any time
point. Thus, tissue variants developed
both phylogenetic and phenetic
structure at variable times within the
first 2 years of infection
in Q23 and Q47. Only phylogenetic, not
phenetic, structure was
detected for Q45 tissue variants.
Phylogenetic and phenetic relationships of sequences from the same
tissue compartment over time.
We applied a variant of the Slatkin
and Maddison method (64, 65) to test the hypothesis that
within a tissue compartment, sequences obtained at a given time are
more closely related to each other than to sequences from that tissue
sampled at a different time. This hypothesis of phylogenetic temporal
structure would indicate a process of population replacement in each
tissue, in which evolutionary lineages that dominate a population at
one time are sequentially replaced over time.
Phylogenetic temporal structure arose at different times in viral
sequences from PBMCs, plasma, and cervical swabs from all
three women
(Fig.
5). Throughout the observation
period in all
three women, mucosal sequences were phylogenetically more
closely
related to sequences obtained from the same time point than to
mucosal sequences derived from an earlier time point. Phylogenetic
temporal structure was also observed in sequences obtained from
plasma
of all individuals, although in Q23 this did not develop
until 23.5 months PNS. Similarly, sequences from Q23 and Q47 PBMC
demonstrated
phylogenetic temporal structure at all time points,
but this did not
occur in PBMC-derived sequences from Q45 PBMC
until 15 months PNS.

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FIG. 5.
Phylogenetic evaluation of time as a character state for
Q23, Q47, and Q45. Tree lengths were determined, as described in
Materials and Methods, for 100 bootstrap trees and 100 randomly
constructed trees. Tree topology for bootstrap trees is based on
nucleotide sequence data of the V1, V2, and V3 portions of the envelope
gene, but tree lengths are based on character state changes between
time points for cervical (Cx), plasma RNA (Rn), and PBMC (Pb) samples.
The ratio of bootstrap to random tree lengths is plotted for each time
point. Error bars indicate 1 standard deviation. Phenetic temporal
structure was significant for sequences from all three tissues for Q23
(P < 0.001) and for Q47 and Q45 plasma viral RNA and
cervical sequences (P < 0.001 and P < 0.05, respectively).
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Phenetic temporal structure was statistically significant for sequences
from cervical swabs and plasma from all individuals
(
P < 0.001 for Q23 and Q47;
P < 0.05 for Q45). Only PBMC
sequences
from Q23 developed detectable phenetic temporal structure
(
P <
0.001). Thus, in all three women, mucosal
variants at each time
point were consistently distinct from
mucosal samples taken at
preceding time points both by phenetic and
phylogenetic criteria.
The same conclusion applied to sequences
obtained from plasma
viral RNA, with the exception that there was no
support for distinct
ancestral lineages (phylogenetic temporal
structure) of Q23 plasma
virus for the first year of infection. PBMC
proviral DNA sequences
from the three subjects were the least
consistent in showing temporal
phylogenetic and phenetic structure.
Qualitative relationships among variants.
The high incidence
of nonsynonymous site mutations and the distinct phylogenetic and
phenetic relationships of envelope gene sequences from each tissue of
these three individuals suggested that the primary structure of the
glycoprotein encoded by the gene would change over time. We compared
the amino acid sequences of the V1, V2, and V3 regions of sequences
obtained at seroconversion to those that subsequently evolved and found
that each region had a unique pattern of substitutions (Fig.
6 and 7).

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FIG. 6.
Changes in V3 seroconversion amino acid consensus
sequences over time for Q23, Q47, and Q45. A reference consensus
sequence was generated by determining the most common amino acid
present at each position in all tissue isolates obtained at the
seroconversion sample from each subject. For each subsequent time, the
percentage of all sequences that contained an amino acid that differed
from the reference sequence at each position is shown. Open and closed
symbols represent years 1 and 2 after seroconversion, respectively.
Characters (+, ×) are used if only one tissue compartment was sampled
at a time point. The hatched bars represent changes in the final sample
evaluated for each individual. Where more than 75% of sequences from
the last sample contained a nonconsensus amino acid at a position, the
replacement amino acid (single-letter designation) is given above the
bar. Pb, PBMCs; Cx, cervical secretions.
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FIG. 7.
Changes in predicted amino acid V1 sequence for Q23,
Q47, and Q45. A consensus sequence was generated as described in the
legend to Fig. 6 for all sequences from the seroconversion (A) and
final (B) samples from cervical (Cx), plasma RNA (Rn), and PBMC (Pb)
sequences from each subject. ~, gap introduced to maintain alignment
between the two consensus sequences; -, gap introduced to maintain
alignment among the sequences from the same time point. Capital letters
are used if more than 90% of the amino acids at that position are
represented in the consensus, and a lowercase letter indicates that the
amino acid is represented more than 50% of the time. Where no
consensus occurs, "/" is used.
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Amino acid changes from the V3 seroconversion sequence of each
individual were restricted to several positions. Dominant changes
in
Q23 V3 during the observation period involved two positions,
G25D and
H34Y. Similarly, there was a time-dependent replacement
of I2T and D29N
in the V3 sequence of Q47. Hence, in both Q23
and Q47, changes in V3
predicted amino acid sequences were restricted
to a few sites and were
characterized by replacement of a single
new amino acid at the position
rather than by site heterogeneity.
Consensus sequences were generated for both genotypes found in Q45
tissues. Genotype A was the most prevalent at seroconversion
and the
only genotype found in cervical samples throughout the
sampling period.
Variation occurred at several positions in the
V3 sequence from
genotype A, but none of these resulted in fixation
of an amino acid
that differed from the seroconversion consensus.
Genotype B represented
50% of the sequences recovered at 15 months
PNS, and there was a
temporal replacement of L13H or L13R and
K10R in this sequence.
There was no distinct pattern of amino acid replacements in the V2
region over time in sequences from any of the subjects.
Substitutions
in this region most frequently involved charged
amino acids (data not
shown).
Changes in V1 from Q23 and Q47 were characterized by insertions and
deletions over time (Fig.
7). At seroconversion, the consensus
sequence
from Q23 plasma virus differed from that of PBMC and
cervical variants,
but over the next year, the plasma virus V1
sequence found at
seroconversion dominated all tissue variants
(data not shown). At all
time points after 20.5 months PNS, Q23
variants from mucosa and plasma
were lengthened by insertions
in V1 that primarily encoded potential
N-linked glycosylation
sites. This correlated with the development of
both phenetic and
phylogenetic tissue structure in Q23. Q47 variants
were also increased
in length, due in part to insertion of a potential
N-linked site
in V1 of all tissue envelope gene sequences. In the
19-month PNS
sample, plasma virus sequences were homogeneous in V1 and
were
characterized by a V1 that was shortened relative to the
seroconversion
sequence. Representatives of this sequence were
recovered from
cervical samples but not those from PBMCs (data not
shown). Q45
V1 amino acid sequences did not change over time, but the
relative
frequency of each genotype was different. Hence, V1 from Q47
evolved
by both insertions and deletions, Q23 V1 sequence changes were
dominated by insertions, and Q45 V1 sequences were unchanged over
time.
 |
DISCUSSION |
This is the first report of clade A HIV-1 evolution during the
asymptomatic stages of infection in subjects who were infected with, or
had developed, a heterogeneous population of virus near the time of
seroconversion (57). Evidence from nucleotide substitution analysis indicated that the seroconversion population of plasma virus
was under positive selection in all three women. Throughout the
observation period, dn was higher than ds, suggesting that the
viral population was under consistent positive selection
during this early stage of infection. Evolution of sequences from
two subjects, Q23 and Q47, resulted in replacement of the
viral population found at seroconversion, whereas the diverse
seroconversion viral population from the third individual, Q45, was
maintained throughout the observation period.
We examined the changes in amino acid composition of the V1, V2, and V3
loops that resulted from envelope evolution in the three subjects.
Mutations characterized by insertions and deletions affecting potential
glycosylation sites in the V1 region were found in both Q47 and Q23 but
not in Q45. Viral evolution in V1 due to insertions or deletions
(52, 68) and mutations that alter potential N-linked
glycosylation sites have been reported for both HIV (8, 52,
68) and simian immunodeficiency virus (51) infections.
Substitutions of charged amino acids were common in V2 sequences from
all individuals but were not correlated with sample collection time or
tissue type. In all three individuals, mutational events in V3 were
limited to specific residues and most of the region remained unchanged
over time. Others have reported a similar pattern of nonrandom
time-dependent change in V3 (24, 44, 72). Virtually all
substitutions in V3 from these individuals were nonsynonymous, as has
been reported for cohorts where infection was initiated by a single
viral genotype (73). There was a notable absence of
substitutions at synonymous sites in V3 in tissues of all individuals
until 1.5 to 2 years PNS (data not shown). Thus, these variable domains
of gp120 appeared to be under different selective pressures and
constraints.
The relationship of viral variants from systemic and mucosal
compartments of HIV-1-infected women following seroconversion has not
been previously explored. We applied both phylogenetic and phenetic
methods to study viral evolutionary dynamics among tissue variants
during the first 2 years of asymptomatic infection. The significant
compartmental phylogenetic structure in tissue viral variants that was
detected in all subjects suggested that sequences sampled from each
tissue were the progeny of phylogenetically distinct, free or cell
associated, virions that had recently migrated to a tissue and
subsequently proliferated. Phylogenetic relatedness among sequences
from the same tissue compartment developed rapidly in Q47 but was not
observed until the second year of infection for sequences obtained from
Q23 and Q45. In these latter two subjects, therefore, viral variants
emigrating to different tissue compartments throughout the first year
of infection either were monophyletic or had not evolved sufficiently
for phylogenetic structure to be detected. Both phylogenetic and
phenetic tissue compartmentalization developed over time in the viral
populations from Q23 and Q47; however, only phylogenetic, not phenetic,
tissue compartmentalization was detected among sequences at the final
(1.5-year) sample of Q45. This result is consistent with the greater
genetic distance that separated the two distinct variants from the Q45
viral population, which decreased their genetic similarity but did not
preclude their genealogical affiliation. It is significant that
identical results were obtained when only proviral sequences derived
from PBMC and mucosal swab samples were evaluated with the cladistic methods. This finding argues against the premise that tissue
compartmentalization was detected because of differential longevity of
viral sequences in the plasma and cellular compartments but, rather,
reflects actual independent migration and proliferation events in each tissue that gave rise to phylogenetically distinct, tissue-derived variants.
Results from our temporal phylogenetic studies of viral sequences
derived from PBMCs, plasma, and cervical secretions provide a unique
perspective on viral dynamics. Recent data on virus kinetics suggest
that plasma virus is supplied primarily from short-lived, newly
infected cells rather than from activation of latently infected cells
(15, 55, 69). In this model, each new infection would result
in production of related progeny viruses. Depending on sample frequency
and mutation rate, subsequent virus populations would be
phylogenetically distinct from those sampled earlier. Alternatively, if
the majority of plasma virus was produced by continual activation of
long-lived, chronically infected cells, then the plasma viral
population would not develop distinct phylogenetic affiliations over
time. Our data showed that in most samples, plasma viral sequences had
both phenetic and phylogenetic temporal structure. Furthermore, if
plasma virus was generated from a significant proportion of circulating
infected PBMCs or from infected mucosal cells, then at any time point
there would be phylogenetic intermixing among sequences in these tissue
compartments. The implications from our data are that neither
circulating PBMCs nor cells in genital mucosa contribute substantially
to the plasma viral pool. Indeed, studies suggest that lymphoid tissues
harbor the majority of cells that actively produce virus (20,
54). Thus, our cladistic analyses yield results that are in
agreement with findings of investigators obtained by other methods and,
additionally, extend the observations to dynamics of clade A HIV-1
infection in women.
It has been reported that the virus transmitted to an individual by
sexual contact is a minor component of the virus population in the
donor blood (75) and that variants found in the genital secretions of infected women are different from those in peripheral blood (50, 57). A finding that was consistent within our
study was that of significant temporal phylogenetic and phenetic
structure among mucosal variants in all three women. Temporal structure in the mucosal compartment could result from successive migrations of
virions from lineages not well represented in either PBMC or plasma
viral sequences. Alternatively, the presence of significant temporal
phylogenetic structure could reflect tissue specific evolution of
mucosal variants. However, there was no evidence of independent
evolution of a mucosal lineage from the phylogenetic trees to support
this. Rather, the premise that phylogenetic structure arose by
independent migration events and subsequent viral proliferation is
consistent with the biology of memory cells homing to specific tissue
compartments (38, 39). These cells make a small and transient contribution to the circulating pool of lymphocytes, which
would reduce the likelihood that they would be detected in a PBMC
sample. Continual seeding of mucosa by a small subset of infected
lymphocytes would mean that genital mucosa could be continually
challenged with new virus variants, some of which may be better adapted
to proliferate in that environment. A mucosal variant that is better
fit may be more readily transmitted if it is locally abundant in the
donor mucosa and is adapted to infect the cells most likely to be
initially encountered in a recipient. A better understanding of
features that promote infection and replication of HIV-1 variants in
the mucosal environment may help in the development of methods to
reduce the risk of sexual and vertical transmission.
It is now well established that the early stages of infection with
HIV-1 represent an active, not quiescent, phase of viral infection. In
this study, we provide insight into the dynamic events that
characterize HIV-1 pathogenesis in women recently infected with subtype
A HIV-1. Our study is the first to examine virus evolution in
non-subtype-B-infected individuals. Host selection pressure, viral
diversity, and tissue specific trafficking of virus-infected cells
following transmission of HIV-1 will undoubtedly have a profound effect
on disease outcome. It is unclear, however, that the paradigm being
established by studies of individuals infected with clade B HIV-1 will
apply to diverse populations infected with different HIV-1 subtypes
found worldwide. It is important to delineate features which are common
to HIV-1 pathogenesis in order to direct strategies for therapies which
will be globally effective.
 |
ACKNOWLEDGMENTS |
We thank the research staff at Ganjoni Municipal Clinic and Coast
Provincial General Hospital, Mombasa, Kenya, for sample collection, P. Lewis for determining plasma viral loads, and J. I. Mullins for
critical review of the manuscript.
This work was supported by Public Health Service grants AI38518 (J.O.),
AI33873 (J.K.K.), and AI27757 (UW CFAR). M.P. was supported by NIH
fellowships AI07140 and K08 AI01290, A.G.R. and G.H.L. were supported
by AI32885, and J.J.G. was supported by fellowship CA09229 from the
National Cancer Institute.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Department of
Microbiology, Box 357242, University of Washington, Seattle, WA 98195. Phone: (206) 543-3146. Fax: (206) 543-8297. E-mail address:
overbaug{at}u.washington.edu.
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Journal of Virology, October 1998, p. 8240-8251, Vol. 72, No. 10
0022-538X/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.
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