Jesse Bloom PRO
Scientist studying evolution of proteins and viruses.
Fred Hutch Cancer Center / HHMI
Slides at https://slides.com/jbloom/sars-cov-2-evolution-long
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
Other antigenically evolving human respiratory viruses have ladder-like phylogenetic trees, which is key to enabling vaccine updates as it provides some level of predictability (the next variant usually descended from the last one).
So far SARS-CoV-2 has defied ladder-like paradigm: Omicron not descended from Delta; Delta not descended from Alpha. However, it's still early and we are seeing combined selection for antibody escape and increased transmissibility--presumably transmissibility will eventually plateau. Despite having been wrong in thinking next variant would come from Delta, I still think evolution will eventually become 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.
Mutations in Omicron have net negative effect on ACE2 binding if summed as single mutants
Mutations in Omicron have net negative effect on ACE2 binding if summed as single mutants
However, two mutations (Q498R & N501Y) work together so net effect ~zero when both present
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
Interactive version of this mini example is at https://jbloomlab.github.io/SARS2_RBD_Ab_escape_maps/mini-example-escape-calc/
LY-CoV555 is escaped at both sites 484 and 490, so mutating either site has same overall effect
Average escape across all antibodies
Interactive version of this mini example is at https://jbloomlab.github.io/SARS2_RBD_Ab_escape_maps/mini-example-escape-calc/
Escape calculator is described in Greaney et al (2022), and is available at https://jbloomlab.github.io/SARS2_RBD_Ab_escape_maps/escape-calc/
36 antibodies mapped by Tyler Starr & Allie Greaney in Bloom lab, from early SARS-CoV-2 strains
Escape calculator is described in Greaney et al (2022), and is available at https://jbloomlab.github.io/SARS2_RBD_Ab_escape_maps/escape-calc/
36 antibodies mapped by Tyler Starr & Allie Greaney in Bloom lab, from early SARS-CoV-2 strains
1,522 (!) antibodies mapped by Sunney Xie, Richard Cao, Fanchong Jian, et al at Peking University. From early strains, BA.1, & patients with prior SARS-CoV-1 infection. See here.
417
446
484
417
446
484
490 not mutated, but antibodies that bind there are escaped by mutation at 484 which is in same epitope.
Note Omicron has additional escape not modeled here due to mutations that put RBD more in down conformation and cause N343 glycan displacement: Cao et al (2022), Gobeil et al (2022), and explanation here.
Note Omicron has additional escape not modeled here due to mutations that put RBD more in down conformation and cause N343 glycan displacement: Cao et al (2022), Gobeil et al (2022), and explanation here.
486 is largest site of escape for antibodies not already escaped by mutations in BA.2
346
356
444-446
452
450
462
468
486
499
mutated in BA.4/BA.5 or BA.2.12.1
346-348
444-446
452
486
468
mutated in BA.4/BA.5 or BA.2.12.1
356
490
The differences in antibody-escape mutations between people who have / have-not had BA.1 breakthrough infections is consistent with prior studies on other viruses showing that serum antibodies from people with different exposure histories have different viral escape mutations.
346-348
444-446
452
486
468
mutated in BA.4/BA.5 or BA.2.12.1
356
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
By Jesse Bloom
Interpreting the evolution of SARS-CoV-2 in the context of Omicron