Origin and Population Dynamics of a Novel HIV-1 Subtype G Clade Circulating in Cape Verde and Portugal

PLoS One. 2015 May 20;10(5):e0127384. doi: 10.1371/journal.pone.0127384. eCollection 2015.

Abstract

The human immunodeficiency virus type 1 (HIV-1) subtype G is the most prevalent and second most prevalent HIV-1 clade in Cape Verde and Portugal, respectively; but there is no information about the origin and spatiotemporal dispersal pattern of this HIV-1 clade circulating in those countries. To this end, we used Maximum Likelihood and Bayesian coalescent-based methods to analyze a collection of 578 HIV-1 subtype G pol sequences sampled throughout Portugal, Cape Verde and 11 other countries from West and Central Africa over a period of 22 years (1992 to 2013). Our analyses indicate that most subtype G sequences from Cape Verde (80%) and Portugal (95%) branched together in a distinct monophyletic cluster (here called G(CV-PT)). The G(CV-PT) clade probably emerged after a single migration of the virus out of Central Africa into Cape Verde between the late 1970s and the middle 1980s, followed by a rapid dissemination to Portugal a couple of years later. Reconstruction of the demographic history of the G(CV-PT) clade circulating in Cape Verde and Portugal indicates that this viral clade displayed an initial phase of exponential growth during the 1980s and 1990s, followed by a decline in growth rate since the early 2000s. Our data also indicate that during the exponential growth phase the G(CV-PT) clade recombined with a preexisting subtype B viral strain circulating in Portugal, originating the CRF14_BG clade that was later disseminated to Spain and Cape Verde. Historical and recent human population movements between Angola, Cape Verde and Portugal probably played a key role in the origin and dispersal of the G(CV-PT )and CRF14_BG clades.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bayes Theorem
  • Cabo Verde / epidemiology
  • HIV-1 / classification*
  • HIV-1 / physiology*
  • Humans
  • Likelihood Functions
  • Phylogeny
  • Population Dynamics*
  • Portugal / epidemiology
  • Spatio-Temporal Analysis
  • Time Factors

Grants and funding

This work was sponsored by Public Health Service grants 490468/2008-0 and E-26/111.758/2012 from the CNPq. IIMPA was supported by a fellowship from the CAPES PEC-PG Program. ED is supported by a fellowship from the FAPERJ. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.