Fred Hutch Cancer Research Center / HHMI
Slides at https://slides.com/jbloom/sars-cov-2-evolution-short
We decided to look at another human coronavirus: CoV-229E causes common colds and has been circulating in humans since at least 1960s.
We experimentally generated CoV-229E spikes at ~8 year intervals so we could study them in the lab:
- 1984
- 1992
- 2001
- 2008
- 2016
Note "ladder-like" shape of tree
Serum collected in 1985 neutralizes virus with spike from 1984, but less effective against more recent viruses.
We are studying basis of these differences, as ideally vaccines would elicit more evolution-resistant sera as on the right.
CoV-229E has ladder-like tree:
Human influenza A evolves this way too. It's theoretically possible to pick single well-matched vaccine strain.
CoV-229E has ladder-like tree:
Human influenza A evolves this way too. It's theoretically possible to pick single well-matched vaccine strain.
CoV-OC43 split into two ladder-like lineages. Influenza B evolves this way too. It's theoretically possible to pick well-matched bivalent vaccine.
CoV-229E has ladder-like tree:
Human influenza A evolves this way too. It's theoretically possible to pick single well-matched vaccine strain.
CoV-OC43 split into two ladder-like lineages. Influenza B evolves this way too. It's theoretically possible to pick well-matched bivalent vaccine.
In non-ladder-like tree, next variant not descended from recent successful one. Makes picking vaccine strains difficult.
After early fixation of D614G, the SARS-CoV-2 tree has not been ladder-like
Sites of evolutionary change in the spike of CoV-229E over the last four decades
Sites of evolutionary change in the spike of CoV-229E over the last four decades
Sites of mutations in SARS-CoV-2 Omicron (BA.1) spike relative to Wuhan-Hu-1
Main difference is SARS-CoV-2 also fixing transmissibility-enhancing spike mutations that affect proteolytic processing and stabilize defects cause by furin-cleavage site
Human CoVs, which evolve to escape transmission-blocking immunity, show strongest selection in RBD. So virus is telling us RBD antibodies matter most for blocking transmission. But non-RBD antibodies and T-cells still matter, especially for reducing disease severity while putting less selection on virus.
Most neutralizing activity from RBD antibodies (although antibodies to other domains such as NTD can also be neutralizing).
However, a minority of all anti-spike antibodies elicited by current vaccines target RBD. Given these facts, we should continue to weigh pros / cons of RBD-only vaccines.
25 of 31 residues in CoV-229E RBD that contact receptor varied during virus's evolution in humans over last ~50 years (Li et al, eLife, 2019)
There are lots of mutations to SARS-CoV-2 RBD that retain (and sometimes even enhance) ACE2 affinity (Starr et al, 2020)
RBD
fluorescently labeled antibody
yeast
fluorescent tag on RBD
Monoclonal antibodies bind one epitope, so can usually be escaped by single mutation
Polyclonal antibodies can bind many epitopes, so often more resistant to escape
Plot from escape calculator described in Greaney et al (2021)
Plot from escape calculator described in Greaney et al (2021)
Plot from escape calculator described in Greaney et al (2021)
Delta
Omicron (BA.1)
Most other studies find similar ~20-fold drop in Omicron neutralization for sera after two doses of current vaccine.
Serum neutralization titers after primary human infections with Omicron
Humans vaccinated with current vaccines then infected with Omicron BA.1 neutralize Omicron BA.1 and BA.2 comparably to Delta and older Wuhan-Hu-1-like viruses
Even with an update to Omicron, there will still be a strong effect from immune imprinting with earlier vaccines / variants
Data from van der Straten et al (2022); similar results in Wilks et al (2022)
All pre-Omicron variants are more antigenically similar
Continued Omicron circulation will make vaccine strain update more urgent
Effect of any update will be somewhat muted by immune imprinting to current vaccine
Consider cocktail vaccines, which might induce broader response and buffer uncertainty in evolutionary forecasts
Crowe lab (Vanderbilt)
Chu lab (Univ Wash)
Veesler lab (Univ Wash)
King lab (Univ Wash)
Li lab (Brigham & Women's)
Boeckh lab (Fred Hutch)
Alex Greninger (Univ Wash)
Nussenzweig lab (Rockefeller)
Bjorkman lab (Caltech)
Tyler Starr
Allie Greaney
Rachel Eguia
Bloom lab (Fred Hutch)
Sarah Hilton
Kate Crawford
Andrea Loes