Given two genes, A and B, you could list out the information encoded by them as “A”,”B” and “AB”. Which is basically the Shannon estimate on complexity, right?

Given two genes, A and B, you could list out the information encoded by them as “A”,”B” and “AB”. Which is basically the Shannon estimate on complexity, right? However in reality, the gene dose makes a difference - so it’s more like the genome (+genome architecture) encodes for capacity to produce different amounts of A and B. So, with high A expression you will see things like “AAAAB”,”AAAAAA” etc. The point is that rather than encoding for different functions, the genome encodes for the diversity of different message queues - and it is the length of these queues and rate of message firing that encodes (as much as you can in a probabilistic sense) for our cell programming. The messages could be “build a transcription factor” or “put a receptor on the surface”, or “make a crank that increases the capacity of these queues”.