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Transcription
Translation
[RNA]
Proteins
Degradation
Ribonucleotides
Fig. 14.4 The intracellular RNA levels denoted as [RNA] controlled by transcription and
transcript degradation
Generation
Elimination
[Phenotype]
Fig. 14.5 Evolution of novel phenotypes as a dynamic balance between phenotype generation and
phenotype elimination
(i.e., assumed the transcriptional control stance ), so that whenever RNA levels
rose, it was interpreted as an indication that the corresponding transcription rate
increased. But the Garcia-Mainez et al. (2004) data clearly demonstrate that there is
no such one-to-one correlation between RNA levels and transcription rates as
evident in Fig. 12.6 , leading to the conclusion that the transcript-degradational
control must play an important role. The debate between neo-Darwinains and anti-
Darwinians may be analyzed in a similar way:
1. New phenotypes emerge as a result of the balance between two opposing
processes - “phenotype generation” and “phenotype elimination”:
2. Phenotypic variations can result from either genotypic variations (i.e., involving
DNA sequence changes) or epigenetic mechanisms (i.e., without involving any
DNA sequence changes).
3. Genotypic changes can be caused by random mutations , recombinations , hori-
zontal gene transfers, or self-organized variational mechanisms (as a part
of active complexification processes postulated to be inherent in the living
cell (see Sect. 14.2 ).
Any successful theory of evolution that can replace neo-Darwinian mechanism of
evolution must take into account both variation generation and elimination as well as
all the complex mechanisms indicated in (2) and (3) above. Neo-Darwinians seem
to ignore the generative process . On the other hand, anti-Darwinians may be ignoring
the importance of selection (or elimination ). If the scheme presented in Fig. 14.5 is
correct, both variation generation and natural selection (i.e., elimination) would be
important in evolution, just as the transcription and transcript-degradation steps are
equally important in determining RNA levels in cells (Ji et al. 2000a).
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