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Developing an Appropriate Evolutionary Baseline Model for the Study of Human Cytomegalovirus.
Howell, Abigail A; Terbot, John W; Soni, Vivak; Johri, Parul; Jensen, Jeffrey D; Pfeifer, Susanne P.
Afiliación
  • Howell AA; School of Life Sciences, Center for Evolution and Medicine, Arizona State University, Tempe.
  • Terbot JW; School of Life Sciences, Center for Evolution and Medicine, Arizona State University, Tempe.
  • Soni V; Division of Biological Sciences, University of Montana, Missoula.
  • Johri P; School of Life Sciences, Center for Evolution and Medicine, Arizona State University, Tempe.
  • Jensen JD; School of Life Sciences, Center for Evolution and Medicine, Arizona State University, Tempe.
  • Pfeifer SP; School of Life Sciences, Center for Evolution and Medicine, Arizona State University, Tempe.
Genome Biol Evol ; 15(4)2023 04 06.
Article en En | MEDLINE | ID: mdl-37071785
Human cytomegalovirus (HCMV) represents a major threat to human health, contributing to both birth defects in neonates as well as organ transplant failure and opportunistic infections in immunocompromised individuals. HCMV exhibits considerable interhost and intrahost diversity, which likely influences the pathogenicity of the virus. Therefore, understanding the relative contributions of various evolutionary forces in shaping patterns of variation is of critical importance both mechanistically and clinically. Herein, we present the individual components of an evolutionary baseline model for HCMV, with a particular focus on congenital infections for the sake of illustration-including mutation and recombination rates, the distribution of fitness effects, infection dynamics, and compartmentalization-and describe the current state of knowledge of each. By building this baseline model, researchers will be able to better describe the range of possible evolutionary scenarios contributing to observed variation as well as improve power and reduce false-positive rates when scanning for adaptive mutations in the HCMV genome.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Infecciones por Citomegalovirus / Citomegalovirus Límite: Humans / Newborn Idioma: En Revista: Genome Biol Evol Asunto de la revista: BIOLOGIA / BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Infecciones por Citomegalovirus / Citomegalovirus Límite: Humans / Newborn Idioma: En Revista: Genome Biol Evol Asunto de la revista: BIOLOGIA / BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article