The calamoid palms 🌴 have over 500 species spread across the world, but their higher-level relationships were a bit of a mystery. Until now.

Out today in #MolecularPhylogeneticsAndEvolution:

A robust phylogenomic framework for the calamoid palms https://t.co/JiCbSUlheH

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First some background info, so that you know what we are talking about:

Calamoid palms look a bit like snakes 🐍 (don't they!?!), because their fruits are covered in overlapping scales. And with their often fierce spines, they are equally fearsome. 😱

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They are classified into 17 genera, 10 subtribes and 3 tribes. They have an amazing variety of growth forms, from stemless to climbing to tree habit. 🌱🌴

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But as I said, their relationships have been a bit of a mystery. Here's the varying relationships previous studies found over the last 20 years.

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We tackled this mystery with a phylogenomic approach: we sampled almost a thousand genes (a hundred times more than previous studies!) of 75 species representing all calamoid tribes, subtribes and genera.

The resulting data matrix is pretty massive...

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With all this data, we were able to reconstruct the higher-level relationships with new confidence, and these results were stable no matter what method we used (we tried out quite a few...). Here's the strict consensus tree from all eight species trees we made.

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How strong is gene tree conflict in our dataset?

For relationships among tribes and subtribes, a clear majority of gene trees supported the main topology. That's why we think that our results are very robust on that level.

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However, in subtribes Ancistrophyllinae and Plectocomiinae, there was a lot of gene tree conflict - similar proportions of gene trees support the 3 different possible relationships among genera.

Why? Hybridisation? Incomplete lineage sorting?

Further research needed!

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Finally, a huge thanks to my fantastic supervisors @BillJBaker, @w_eiserhardt, @Chomicki_G and Simon Hiscock (@OxfordPlants), and all other (equally great) co-authors: @SidonieBellot, @RowanSchley, @tlpcouvreur, and palm legends John Dransfield and Andrew Henderson.

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If you want to read more, feel free to use the below link for free access to the paper - it will work until 13 March 2021.

https://t.co/JiCbSUlheH

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More from Science

1/ Automobiles and Intake Fraction. Since cars are back in the news I thought I would retweet this model result I offered in early April 2020. I focused only on 1 micron particles & accounted for windows completely closed & cracked slightly open.


2/ Related air exchange rates were based on experimental results in literature for mid-sized sedans. Particle deposition to indoor surfaces were accounted for, as the surface to volume ratio in a 3 m3 cab is large. An important outcome was the intake fraction (IF)

3/ Here, IF is the number of particles (or virions in collective particles) inhaled by a receptor DIVIDED BY the number or particles (or virions in collective particles) emitted by an infector.

4/ Integrated over the two hour drive (in this example) the IF for all windows closed & a receptor at rest is 0.08 (8% of what comes out of the infectors respiratory system ends up in the respiratory system of the receptor). 8%! That is a very high intake factor.

5/ With additional ventilation from cracking a window open drops the IF to 0.012 (1.2%) still relatively high. Can get lower by opening more windows.

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