Resolving genetic linkage reveals patterns of selection in HIV-1 evolution

MS Sohail, RHY Louie, MR McKay, JP Barton - bioRxiv, 2019 - biorxiv.org
Identifying the genetic drivers of adaptation is a necessary step in understanding the
dynamics of rapidly evolving pathogens and cancer. However, signals of selection are …

The clarifying role of time series data in the population genetics of HIV

AF Feder, PS Pennings, DA Petrov - PLoS genetics, 2021 - journals.plos.org
HIV can evolve remarkably quickly in response to antiretroviral therapies and the immune
system. This evolution stymies treatment effectiveness and prevents the development of an …

[HTML][HTML] A binary trait model reveals the fitness effects of HIV-1 escape from T cell responses

Y Gao, JP Barton - bioRxiv, 2024 - ncbi.nlm.nih.gov
Natural selection often acts on multiple traits simultaneously. For example, the virus HIV-1
faces pressure to evade host immunity while also preserving replicative fitness. While past …

MPL resolves genetic linkage in fitness inference from complex evolutionary histories

MS Sohail, RHY Louie, MR McKay, JP Barton - Nature biotechnology, 2021 - nature.com
Genetic linkage causes the fate of new mutations in a population to be contingent on the
genetic background on which they appear. This makes it challenging to identify how …

Mapping the drivers of within-host pathogen evolution using massive data sets

DS Palmer, I Turner, S Fidler, J Frater… - Nature …, 2019 - nature.com
Differences among hosts, resulting from genetic variation in the immune system or
heterogeneity in drug treatment, can impact within-host pathogen evolution. Genetic …

Fierce selection and interference in B-cell repertoire response to chronic HIV-1

A Nourmohammad, J Otwinowski… - Molecular biology …, 2019 - academic.oup.com
During chronic infection, HIV-1 engages in a rapid coevolutionary arms race with the host's
adaptive immune system. While it is clear that HIV exerts strong selection on the adaptive …

In-vivo mutation rates and fitness landscape of HIV-1

F Zanini, V Puller, J Brodin, J Albert… - arXiv preprint arXiv …, 2016 - arxiv.org
Mutation rates and fitness costs of deleterious mutations are difficult to measure in vivo but
essential for a quantitative understanding of evolution. Using whole genome deep …

Faster adaptation in smaller populations: counterintuitive evolution of HIV during childhood infection

J Raghwani, S Bhatt, OG Pybus - PLoS computational biology, 2016 - journals.plos.org
Analysis of HIV-1 gene sequences sampled longitudinally from infected individuals can
reveal the evolutionary dynamics that underlie associations between disease outcome and …

[PDF][PDF] Clonal competition in B-cell repertoires during chronic HIV-1 infection

A Nourmohammad, J Otwinowski, M Luksza… - Mol. Biol …, 2018 - scholar.archive.org
During chronic infection, HIV-1 engages in a rapid coevolutionary arms race with the host's
adaptive immune system. While it is clear that HIV exerts strong selection on the adaptive …

A de novo approach to inferring within-host fitness effects during untreated HIV-1 infection

CJR Illingworth, J Raghwani, D Serwadda… - PLoS …, 2020 - journals.plos.org
In the absence of effective antiviral therapy, HIV-1 evolves in response to the within-host
environment, of which the immune system is an important aspect. During the earliest stages …