Jesse Bloom PRO
Scientist studying evolution of proteins and viruses.
Fred Hutch Cancer Research Center / HHMI
Slides at https://slides.com/jbloom/sars-cov-2-evolution
"There is no reason to expect that the extent of functional change in a polypeptide chain is proportional to the number of amino-acid substitutions... It is the type rather than the number of substitutions that is decisive."
Phylogenetic tree of 5,152,481 full-length SARS-CoV-2 genomes provided by GISAID
The Coronavirus Is Mutating. What Does That Mean For Us?
The Coronavirus Is Mutating. What Does That Mean For Us?
"There is no reason to expect that the extent of functional change in a polypeptide chain is proportional to the number of amino-acid substitutions... It is the type rather than the number of substitutions that is decisive."
biochemical phenotypes
- protein folding
- affinity for ACE2
- binding by antibodies
Protein structure matters implicitly, as it largely determines mapping from mutation to phenotype.
-Asn-Ile-Thr-Asn-Leu-
-Asn-Ile-Thr-Glu-Leu-
-Asn-Lys-Thr-Asn-Leu-
virion image from https://phil.cdc.gov/Details.aspx?pid=23312
See Tortorici and Veesler (2019) for general review on coronavirus spikes.
See Walls et al (2020) and Wrapp et al (2020) for details on structure of SARS-CoV-2 spike.
Data from Greaney et al (2021a, 2021b) using lentiviral pseudotypes on ACE2-overexpressing cells. Similar results seen by Piccoli et al (2020). Neutralizing antibodies can target other spike regions such as NTD (e.g., McCallum et al, 2021).
Data from Greaney et al (2021a, 2021b) using lentiviral pseudotypes on ACE2-overexpressing cells. Similar results seen by Piccoli et al (2020). Neutralizing antibodies can target other spike regions such as NTD (e.g., McCallum et al, 2021).
Data from Greaney et al (2021a, 2021b) using lentiviral pseudotypes on ACE2-overexpressing cells. Similar results seen by Piccoli et al (2020). Neutralizing antibodies can target other spike regions such as NTD (e.g., McCallum et al, 2021).
Coronaviruses are the only RNA viruses with a proofreading polymerase (Denison et al, 2011), meaning they have a lower mutation rate than influenza or measles virus
Evolution isn't just mutation. Rather, it involves three related factors:
We studied CoV-229E, a coronavirus that causes common colds and has been circulating in humans since at least the 1960s.
We experimentally generated CoV-229E spikes at ~8 year intervals so we could study them in the lab:
- 1984
- 1992
- 2001
- 2008
- 2016
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.
Plot of sequence variability across CoV-229E spike taken from Eguia, ..., Bloom, PLoS Pathogens (2021) . See also Wong, ..., Rini, Nature Communications (2017) and Li, ..., Rini, eLife (2019) for detailed structural studies of evolution in receptor-binding loops.
Impossible to measure true viral fitness in the lab, so we focus on three biochemical phenotypes that contribute to fitness:
1) Does RBD fold properly?
2) Does RBD bind ACE2 with high affinity?
3) Is RBD bound by anti-viral antibodies?
Impossible to measure true viral fitness in the lab, so we focus on three biochemical phenotypes that contribute to fitness:
1) Does RBD fold properly?
2) Does RBD bind ACE2 with high affinity?
3) Is RBD bound by anti-viral antibodies?
Evolutionary pressure is to maintain these two phenotypes...
... while changing this phenotype.
RBD
fluorescent ACE2
yeast
fluorescent tag on RBD
Importantly, we use ACE2 titrations to measure true affinities, not just relative FACS binding signal; see here for details.
Click here for details on how library is made.
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
We use the antibody classification scheme from Barnes et al Nature (2020). The extension of these antibody classes to escape mapping is in Greaney et al (2021), and escape maps are available here. Class 1, 2, and 3 antibodies are often potently neutralizing, while class 4 antibodies are less neutralizing (see: Piccoli et al (2020), Dejnirattisai et al (2021), Liu et al (2020), Zost, et al (2020)).
Toy example of calculating escape from polyclonal mix:
https://jbloomlab.github.io/SARS2_RBD_Ab_escape_maps/mini-example-escape-calc/
Escape-calculator with deep mutational scanning data from many antibodies:
https://jbloomlab.github.io/SARS2_RBD_Ab_escape_maps/escape-calc/
Predictions correlate well with neutralization assays:
https://jbloomlab.github.io/RBD_escape_calculator_paper/neut_studies.html
See Greaney et al (2021) for paper on escape-calculator, and here for more examples on usage.
Omicron has a lot more escape than other variants.
Sites to watch for future antigenic mutations include 346.
"There is no reason to expect that the extent of functional change in a polypeptide chain is proportional to the number of amino-acid substitutions... It is the type rather than the number of substitutions that is decisive."
The Coronavirus Is Mutating. What Does That Mean For Us?
"There is no reason to expect that the extent of functional change in a polypeptide chain is proportional to the number of amino-acid substitutions... It is the type rather than the number of substitutions that is decisive."
Phylogenetic tree of 5,152,481 full-length SARS-CoV-2 genomes provided by GISAID
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)
These slides: https://slides.com/jbloom/sars-cov-2-evolution
Adam Dingens
Will Hannon
Amin Addetia
Keara Malone
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