Transitions Studies in Flowering Plants

by Rolf Baumberger

Comparison between selective and algorithmic processes in the evolution of higher plants

e.g. Diplacus calycinus ---> Diplacus "rolfyi"

2 genes altered; 200 different gene regulation states; 2000 altered methylation sites



evolutionary algorithm process 

nonrandom (EA-Process)

22,000 genes: all potentially affected

22,000 genes: only the relevant were altered

takes many years; often not observable change in small steps

The genome is modularly structured.
Evolution is brought about mostly by all kinds of gene regulations, splicing, and partially gene replacement (module-tuning).
The process is observable and measurable.

Is not target-oriented, not efficient

Is target-oriented, efficient

Not embedded in any physical laws

Embedded in physical laws

Probability of occurrence < 0.0001

Probability of occurrence  

|1- 0.0001| ~1 at the best.

Never ending process

Tends to subside as soon as a physical-chemical equilibrium is reached.

It is a somewhat naive way of dealing with evolution. It assumes living systems that their source of evolutionary progress is based on random errors in reproduction only. And that then favorable errors, once selected, lead to evolutionary progress. It is a view that is no more held «state of the art.» 

Dear Charles, you were about five billion years late with your theory of evolution. It certainly goes back to the time of the Big Bang. It would make all solutions quantum-theoretical. A living system would only have to activate the unique solutions by a suitable string.

An example for an EA-Process:

The first documented occurrence of Diplacus calycinus variants that differ from Diplacus calycinus both in size and in red coloration.

 33.660; -117.4499

c = calycinus state;        r = orange red state

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