Originally posted by felix
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What in your version of the tree looks like this:
Code:
66│ └[?]2b1 68│ └[?]2b1a 69│ ├[?]2b1a2 69│ └[?]2b1a3
Could in reality, with a correct X-axis timeline, look more like this (an X] represents a subclade that dies):
Code:
───────┬─────────────────────────┬────────────────┬──────────────────────┬────────────────────┬───────────────┬──────────────────┬─────────────────┬────── [?]2b1a │ │ └[?]2b1a[?]──X] │ └[?]2b1a[?]──X] │ └[?]2b1a[?]──X] │ │ │ └[?]2b1a[?]──X] └────[?]2b1a[?]──X] └────── [?]2b1a2 │ │ │ └──────────────────────────────────────────────── [?]2b1a[?]───────X] └────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── [?]2b1a3
X-axis could represent 10000 years, for example. Close (in time) to the spawn from the parent, they are all (almost) GD 1 from parent, but they may have been created with more than 1000 years between them. Subclades with a GD of 1 from parent does not automatically mean they are spawed in the same century
Using your visualization you don't know when, in time, the subclades spawed from the parent. You don't know how many have spawed, and you dont know how many and when spawned subclades died out (subclades can die out 1000 of years later).
You don't know how big [?]2b1a is (in amount of parallell maternal lines) during the time span, the size can vary up and down => spawning different amount of subclades / time span at different historical times.
What you are trying to do corresponds to figuring out x from an equation something like this:
(x + 5y)/z = (3p * q/7) ^ r
... where y, z, p, q and r is unknown. In other words: you will find what you are looking for, no matter what you are looking for. The amount of possibilities are endless. Please stop trying to draw conclusions from such
thin data. I offered a way to look at it using more data, I am sorry to hear that you think I "want to destroy the actual mutations from my tree with just garbage/random numbers". That was not my intention. My intension was
to stress the fact that the X-axis in your tree does not represent a scaled timeline.
One common mistake when looking at simplified trees is to look at mutations / SNPs as breakpoints dividing a "line" into two separate lines. One line in the simplified version can actually be hundred or thousand parallel lines. It helps visualizing a mutation as occurring "on the lines" rather than at the breakpoints.
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