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1.
PLoS One ; 9(4): e90421, 2014.
Article in English | MEDLINE | ID: mdl-24717647

ABSTRACT

BACKGROUND: Mother-to-child transmission (MTCT) is responsible for most pediatric HIV-1 infections worldwide. It can occur during pregnancy, labor, or breastfeeding. Numerous studies have used coalescent and molecular clock methods to understand the epidemic history of HIV-1, but the timing of vertical transmission has not been studied using these methods. Taking advantage of the constant accumulation of HIV genetic variation over time and using longitudinally sampled viral sequences, we used a coalescent approach to investigate the timing of MTCT. MATERIALS AND METHODS: Six-hundred and twenty-two clonal env sequences from the RNA and DNA viral population were longitudinally sampled from nine HIV-1 infected mother-and-child pairs [range: 277-1034 days]. For each transmission pair, timing of MTCT was determined using a coalescent-based model within a Bayesian statistical framework. Results were compared with available estimates of MTCT timing obtained with the classic biomedical approach based on serial HIV DNA detection by PCR assays. RESULTS: Four children were infected during pregnancy, whereas the remaining five children were infected at time of delivery. For eight out of nine pairs, results were consistent with the transmission periods assessed by standard PCR-based assay. The discordance in the remaining case was likely confused by co-infection, with simultaneous introduction of multiple maternal viral variants at the time of delivery. CONCLUSIONS: The study provided the opportunity to validate the Bayesian coalescent approach that determines the timing of MTCT of HIV-1. It illustrates the power of population genetics approaches to reliably estimate the timing of transmission events and deepens our knowledge about the dynamics of viral evolution in HIV-infected children, accounting for the complexity of multiple transmission events.


Subject(s)
Directed Molecular Evolution , HIV-1/genetics , HIV-1/physiology , Infectious Disease Transmission, Vertical , Models, Biological , Bayes Theorem , Child , Female , Humans , Markov Chains , Monte Carlo Method , Phylogeny , Pregnancy , Sequence Analysis, DNA , Time Factors
2.
Infect Genet Evol ; 19: 141-4, 2013 Oct.
Article in English | MEDLINE | ID: mdl-23856437

ABSTRACT

We analyzed the food sources of Bolivian wild Triatoma infestans (the main vector of Chagas disease in this country), to assess the role of these populations in the epidemiological context of Chagas disease. Ninety-eight blood meals were identified by heteroduplex assay and sequencing. Most of them were from wild mammals but surprisingly 27 were from humans. This brings to light the occurrence of human-vector contacts at risk of Trypanosoma cruzi transmission in the wild environment by highly infected insects.


Subject(s)
Chagas Disease/transmission , Feeding Behavior/physiology , Insect Vectors/physiology , Triatoma/physiology , Animals , Animals, Wild/classification , Animals, Wild/genetics , Base Sequence , Bolivia , Cytochromes b/genetics , DNA/blood , DNA/classification , DNA/genetics , Humans , Insect Vectors/chemistry , Mammals/classification , Mammals/genetics , Molecular Sequence Data , Sequence Alignment , Triatoma/chemistry , Trypanosoma cruzi
3.
Infect Genet Evol ; 11(5): 1045-57, 2011 Jul.
Article in English | MEDLINE | ID: mdl-21463708

ABSTRACT

Triatoma infestans is the main and most widespread vector of Chagas disease in South America. For the first time, a large sample of sylvatic populations of T. infestans was analyzed by ITS-2 and mtCytB sequencing. ITS-2 showed a low level of polymorphism but revealed a dichotomy between the Andean and non-Andean sylvatic populations. On the contrary, mtCytB sequences showed a high polymorphism (19 haplotypes determined by 35 variable sites) revealing a strong structuring between most of the sylvatic populations and possible ancient isolation and bottleneck in the Northern Andes. The dichotomy Andean vs. non-Andean populations was not observed with this marker. Moreover, mtCytB haplotype genealogies showed that the non-Andean haplotypes would have derived from the Andean ones, supporting somewhat an Andean origin of the species. Nevertheless, a non-Andean origin could not be discarded because a remarkable genetic diversity was found in the non-Andean sample. The comparison of the sylvatic haplotypes with the domestic ones from GenBank suggested multiple events of T. infestans domestication in Andean and non-Andean areas, instead of a major and unique domestication event in the Bolivian Andes, as previously proposed.


Subject(s)
Chagas Disease/transmission , Triatoma/genetics , Animals , Base Sequence , Bolivia/epidemiology , Chagas Disease/epidemiology , Cytochromes b , DNA/genetics , DNA, Intergenic , Demography , Genetic Variation , Humans , Mitochondria , Molecular Sequence Data , Phylogeny , Triatoma/physiology
4.
Am J Trop Med Hyg ; 82(4): 574-9, 2010 Apr.
Article in English | MEDLINE | ID: mdl-20348501

ABSTRACT

Wild populations of Triatoma infestans, the main vector of Chagas disease in the Southern Cone countries, may be involved in reinfestation of human dwellings, limiting the success of vector-control campaigns in Bolivia. Knowledge of the distribution of these populations remains incomplete. We report here the detection of T. infestans wild populations in large areas in the department of La Paz, Bolivia. Among 18 sylvatic areas investigated, 17 were positive with T. infestans specimens. The infection rate of captured T. infestans with Trypanosoma cruzi was 85.7% in adult specimens. These results expand the geographical distribution of wild populations of T. infestans; it may be distributed throughout the Inter-Andean Dry Forest eco-region of Bolivia. The current information allows us to propose the hypothesis that a sylvatic origin of the reinfestation is located in the valleys of La Paz.


Subject(s)
Triatoma/physiology , Animals , Bolivia , Chagas Disease/epidemiology , Chagas Disease/transmission , Demography , Humans , Insect Vectors/classification , Insect Vectors/physiology , Risk Factors , Triatoma/classification
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