Positive Selection Results in Frequent Reversible Amino Acid Replacements in the G Protein Gene of Human Respiratory Syncytial Virus
2009

Frequent Reversible Changes in the G Protein Gene of Human Respiratory Syncytial Virus

Sample size: 3496 publication 10 minutes Evidence: high

Author Information

Author(s): Botosso Viviane F., Zanotto Paolo M. de A., Ueda Mirthes, Arruda Eurico, Gilio Alfredo E., Vieira Sandra E., Stewien Klaus E., Peret Teresa C. T., Jamal Leda F., Pardini Maria I. de M. C., Pinho João R. R., Massad Eduardo, Sant'Anna Osvaldo A., Holmes Eddie C., Durigon Edison L., VGDN Consortium

Primary Institution: Butantan Institute, Virology Branch, Butantã, São Paulo, Brazil

Hypothesis

How does positive selection affect the G protein gene of human respiratory syncytial virus (HRSV)?

Conclusion

The study found that the G protein of HRSV undergoes frequent reversible changes due to positive selection, reflecting the changing immune status of the human population.

Supporting Evidence

  • 29 amino acid sites were found to be positively selected in HRSVA.
  • 18 of these positively selected sites tended to revert to a previous codon state.
  • The study utilized a large dataset of 933 HRSVA and 673 HRSVB sequences for analysis.
  • Positive selection was detected using multiple methods, confirming the robustness of the findings.
  • The G protein is a key target for neutralizing antibodies and is highly variable.
  • Frequent evolutionary reversals suggest a limited repertoire of functionally viable amino acids.
  • The findings have implications for understanding the immune-escape repertoire of HRSV.
  • The study contributes to the understanding of the dynamics of HRSV infections.

Takeaway

Scientists studied a virus that makes kids sick and found that it changes a lot to escape our immune system, like a game of hide and seek.

Methodology

The study used phylogenetic methods to analyze respiratory samples collected over 11 seasons and identified positively selected sites in the G protein gene.

Potential Biases

Potential biases may arise from the specific geographic and temporal sampling of the virus.

Limitations

The study is limited to samples from São Paulo, Brazil, and may not represent global patterns.

Participant Demographics

The study included 2,256 infants and young children hospitalized with acute respiratory infections.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.ppat.1000254

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication