title: The comparative genomics of human respiratory syncytial virus subgroups A and B: genetic variability and molecular evolutionary dynamics.
abstract: Genomic variation and related evolutionary dynamics of human respiratory syncytial virus (RSV), a common causative agent of severe lower respiratory tract infections, may affect its transmission behavior. RSV evolutionary patterns are likely to be influenced by a precarious interplay between selection favoring variants with higher replicative fitness and variants that evade host immune responses. Studying RSV genetic variation can reveal both the genes and the individual codons within these genes that are most crucial for RSV survival. In this study, we conducted genetic diversity and evolutionary rate analyses on 36 RSV subgroup B (RSV-B) whole-genome sequences. The attachment protein, G, was the most variable protein; accordingly, the G gene had a higher substitution rate than other RSV-B genes. Overall, less genetic variability was found among the available RSV-B genome sequences than among RSV-A genome sequences in a comparable sample. The mean substitution rates of the two subgroups were, however, similar (for subgroup A, 6.47 × 10(-4) substitutions/site/year [95% credible interval {CI 95%}, 5.56 × 10(-4) to 7.38 × 10(-4)]; for subgroup B, 7.76 × 10(-4) substitutions/site/year [CI 95%, 6.89 × 10(-4) to 8.58 × 10(-4)]), with the time to their most recent common ancestors (TMRCAs) being much lower for RSV-B (19 years) than for RSV-A (46.8 years). The more recent RSV-B TMRCA is apparently the result of a genetic bottleneck that, over longer time scales, is still compatible with neutral population dynamics. Whereas the immunogenic G protein seems to require high substitution rates to ensure immune evasion, strong purifying selection in conserved proteins such as the fusion protein and nucleocapsid protein is likely essential to preserve RSV viability.
authors.affiliation: Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
authors.forename: Lydia
authors.initials: L
authors.lastname: Tan
authors.forename: Frank E J
authors.initials: FE
authors.lastname: Coenjaerts
authors.forename: Lieselot
authors.initials: L
authors.lastname: Houspie
authors.forename: Marco C
authors.initials: MC
authors.lastname: Viveen
authors.forename: Grada M
authors.initials: GM
authors.lastname: van Bleek
authors.forename: Emmanuel J H J
authors.initials: EJ
authors.lastname: Wiertz
authors.forename: Darren P
authors.initials: DP
authors.lastname: Martin
authors.forename: Philippe
authors.initials: P
authors.lastname: Lemey
mesh_terms: D000595:Amino Acid Sequence; D001483:Base Sequence; D001499:Bayes Theorem; D019143:Evolution, Molecular; D014644:Genetic Variation / Q000235:genetics*; D023281:Genomics / Q000379:methods*; D057131:Immune Evasion / Q000235:genetics; D016013:Likelihood Functions; D008957:Models, Genetic; D008969:Molecular Sequence Data; D010802:Phylogeny; D011157:Population Dynamics; D018113:Respiratory Syncytial Virus, Human / Q000235:genetics*; D012641:Selection, Genetic; D016415:Sequence Alignment; D017422:Sequence Analysis, DNA; D013045:Species Specificity; D014779:Virus Replication / Q000235:genetics