Viral load heritability
Our ability to answer the main question of BEEHIVE is partly determined by the heritability of viral load: the extent to which variation in viral load is explained the virus’ genetic sequence. In this analysis François Blanquart and colleagues determine the heritability in the BEEHIVE data to about one third: Viral genetic variation accounts for a third of variability in HIV-1 set-point viral load in Europe.
For the production of viral genomic RNA, HIV-1 depends on the early viral protein Tat for the production of new viral genomic RNA. Differencies in the efficiency of different Tat variants could be a factor in why viral load varies dramatically between HIV patients. VIral load and therefore virulence has increased in the Netherlands and elsewhere over the past 30 years, however, Antoinette van der Kuyl and colleagues find that this is not due to the action of different Tat variants: The evolution of subtype B HIV-1 tat in the Netherlands during 1985–2012.
RNA quality and quantity are important factors influencing the quality of HIV sequences. Marion Cornelissen and colleagues investigated the optimal method for isolation of HIV-1 viral RNA for long amplicon genome sequencing. Manual isolation with the QIAamp Viral RNA Mini Kit (Qiagen) was superior to robotically extracted RNA: From clinical sample to complete genome: Comparing methods for the extraction of HIV-1 RNA for high-throughput deep sequencing.
Sequence alignment with Shiver
Sequencing experiments produce data that is not easy to interpret: a large number of genetic sequence fragments (‘reads’) from the virus, which due to mutation are usually different from viruses that have been previously observed. Chris Wymant and colleagues wrote the computational method shiver to make sense of these reads, by accurately aligning them and finding what mutations are present: Easy and Accurate Reconstruction of Whole HIV Genomes from Short-Read Sequence Data. The software can be found here.
Exploring within-host viral diversity with Phyloscanner
As the HIV virus rapidly mutates and infections are chronic, one individual eventually has many different viruses. We wrote the computational method phyloscanner to allow investigation of the diversity within individuals and between individuals at the same time; this gives us a better understanding of patterns of transmission, and the presence of two different viruses in the same person: PHYLOSCANNER: Inferring Transmission from Within- and Between-Host Pathogen Genetic Diversity. The software can be found here.
In these articles, Christophe Fraser and colleagues established the motivation for the BEEHIVE project by presenting evidence that the HIV virus has evolved to have viral loads that are favourable to onward transmission, and determining through meta-analysis that the virus sequence is indeed important for determining viral load:
This article describes the methods that were used to prepare the serum and plasma samples for sequencing:
These articles describe the sequencing protocol used for BEEHIVE:
This article explores how the large differences in set-point viral load between patients can be described by mathematical models and how the presence of latent reservoirs can influence the evolution of the virus: