Epidemiologically speaking, we are all bats now.

Leschenault’s Rousette bat, of Chiroptera Pteropodidae
Species hops on depletion uniquely of hesperidin-containing fruits
  • The above bat cov seasonality data is too sparse to draw conclusions from. What’s more, the totality of available data (whose comprehensiveness was corroborated against that independently collected by another individual’s dataset collecting similar data albeit for different reasons) is still too sparse for any seasonality-related conclusions.
  1. the provinces of interest for bat cov recombination in China are primarily characterized by these two climate types.
  2. In the above outlined food-borne coronavirus viral load reducing model, insectivorous and frugivorous bats are expected to have somewhat different seasonality of infection rates which we’re treating here as a proxy to viral load (which comes with its own caveats). Remember that in the insectivorous case, bats eat insects that eat plant matter (including flavonoids but also a lot of other compounds) outlined above.
Insectivorous bat infection positivity rate, Yunnan, Guizhou, Guangxi subtropical regions
Frugivorous bat tropical regions.
Frugivorous bat cov seasonality in Thailand.
Insectivorous bat cov seasonality in Thailand
  1. Prioritize data collection scheduling & protocol toward seasonality detection of viral load, be it annual to super-annual or otherwise. It’s not all about phylogeny-mapping — especially considering that nsp’s have less selection pressure on them than spikes. Any-cause general seasonality is a worthwhile feature of bat viral load detection to study in its own right.
  2. Please avoid pooling samples (!). 1 bat at 1 time = 1 sample. Get more funding if necessary to support any additional effort / supplies / testing capability required.
  3. (NB: The above hypothesis doesn’t at all need to bought-into to recognize that the conditions underlying it are in any case, and at all times to varying degrees, present and should be taken into account during sample collection and assaying:
    Try to unify around a constant and robust methodology in PCR testing — Fecal samples will contain polyphenolic compounds, typically from plant sources upstream in the food chain. Polyphenolic compounds (such as the flavonoids focused on in this post but also many more such as tannins) are also known to interfere with PCR assay results (see linked comment section), and there are ways of controlling for this such as a parallel PCR of a control amplicon placed in the same fecal matter.



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EMSKE Phytochem

EMSKE Phytochem

Coming from a multidisciplinary technical background in Silicon Valley, SE Asia, & East Africa, the author builds awareness of plant medicines. Tw: @EMSKEPhyto