Genomic and geographical structure of human cytomegalovirus

Oscar J. Charles, Cristina Venturini, Soren Gantt, Claire Atkinson, Paul Griffiths, Richard A. Goldstein, Judith Breuer

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

Human cytomegalovirus (CMV) has infected humans since the origin of our species and currently infects most of the world’s population. Variability between CMV genomes is the highest of any human herpesvirus, yet large portions of the genome are conserved. Here, we show that the genome encodes 74 regions of relatively high variability each with 2 to 8 alleles. We then identified two patterns in the CMV genome. Conserved parts of the genome and a minority (32) of variable regions show geographic population structure with evidence for African or European clustering, although hybrid strains are present. We find no evidence that geographic segregation has been driven by host immune pressure affecting known antigenic sites. Forty-two variable regions show no geographical structure, with similar allele distributions across different continental populations. These “nongeographical” regions are significantly enriched for genes encoding immunomodulatory functions suggesting a core functional importance. We hypothesize that at least two CMV founder populations account for the geographical differences that are largely seen in the conserved portions of the genome, although the timing of separation and direction of spread between the two are not clear. In contrast, the similar allele frequencies among 42 variable regions of the genome, irrespective of geographical origin, are indicative of a second evolutionary process, namely balancing selection that may preserve properties critical to CMV biological function. Given that genetic differences between CMVs are postulated to alter immunogenicity and potentially function, understanding these two evolutionary processes could contribute important information for the development of globally effective vaccines and the identification of novel drug targets.
Original languageEnglish
Article numbere2221797120
Pages (from-to)e2221797120
JournalProceedings of the National Academy of Sciences of the United States of America
Volume120
Issue number30
DOIs
Publication statusPublished - 17 Jul 2023
Externally publishedYes

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