An important bit of forensic bioinformatics by @jbloom_lab
biorxiv.org/content/10.110…
The analysis of recovered sequences does not fundamentally change our current understanding of early SARS-CoV-2 evolution, but it does make the hypothesis of a single-source wet market outbreak implausible.
The rooting of the tree (i.e. what the progenitor sequence is) is also more likely in clade A, i.e. the Wu-1 genome is not the ancestral genome; simlilar to what we find in academic.oup.com/mbe/advance-ar…, and
We should be prepared however, to revise these ideas and hypotheses further if and when more early sequence data emerge. I would not be surprised if these revisions are very significant (e.g. the timing of introduction).

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More from @sergeilkp

6 Apr 20
An update on #SARSCoV2 selection analysis using @GISAID data (observablehq.com/@spond/natural…). I added a simple 5-category classification for each potential interesting site. One category = one point. The more points, the more interesting a site is.
Category 1. Is the site under selection using statistical comparative methods?

Category 2. Is there a large (>20%, which is incidentally what you can detect with mixed bases) fraction of minority alleles (synonymous or non-synonymous) among viral haplotypes at the site.
Category 3. Is there an upward trend over time in how many sequences carry a variant, i.e. do we see that variant frequency is increasing over time?

Category 4. Do we see multiple evolutionary events on the tree, i.e. more than one internal branch with selection?
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