“We were surprised to find that dengue virus preferentially uses the host’s less efficient codons, possibly as a strategy to evade an antiviral response by the host,” said Castellano.
“Viruses accumulate mutations during infection of their hosts. We were surprised to find that mutations in the dengue virus genome toward these less efficient codons increased dengue virus fitness in both mosquito and human cells,” said Ryan McNamara, a Bioinformatics Analyst in the Bazzini Lab whose contribution was key to this work.
The team analyzed hundreds of other human-infecting viruses and found that many of them, including HIV and SARS-CoV-2, preferentially use less efficient codons relative to humans, suggesting they have evolved an “inefficient” genome as a strategy to use host cell resources in a way that benefits the virus. The conserved preference among viruses has implications to understand not only how viruses evolve but also how the host-pathogen relationship changes over time.
“Fundamentally, this work has altered how we think about the relationship between a virus and a host cell,” said Bazzini.
“In the future, we hope to better understand the mechanism by which viruses are benefitting from using these inefficient codons, and which molecules viruses may be manipulating to gain control,” said Castellano.
The Centers for Disease Control and Prevention reported that cases of dengue have doubled since just last year in the Americas, and warn of an increased risk of infection in the U.S.
“As mosquitos are spreading to broader, more global regions, we need to start thinking very seriously for how to combat dengue and other mosquito-borne viral infections,” said Bazzini.
Additional authors include Horacio Pallarés, Ph.D., from the Stowers Institute; Andrea Gamarnik, Ph.D., from Fundación Instituto Leloir-CONICET, Argentina; and Diego Alvarez, Ph.D., from Universidad Nacional de San Martín-CONICET, Argentina.
This work was funded by the National Institute of General Medical Sciences of the National Institutes of Health (NIH) (award: R01GM136849), the NIH Office of the Director (award: R21OD034161), the PEW Innovation Fund award, and institutional support from the Stowers Institute for Medical Research. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
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