Biology Reference
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Self-Replicator Space
(or EvoDevo Space )
Development
in
Synchronic
Time
Evolution
in Diachronic Time
Fig. 14.3 A diagrammatic representation of the orthogonalities 1) between development and
evolution on the one hand and (2) between synchronic and diachronic times on the other. The
series of the gray disks symbolizes a spiral motion (see the curved red arrow ) advancing from left
to right consisting of (1) the cyclical motions in the plane of each disk which is orthogonal to the
x -axis and parallel to the y -axis, and (2) the translational motion of the disk along the x -axis. When
viewed at low resolution, the spiral appears as the arrow of time (see the straight red arrow ). Each
circular disk, therefore, may be thought of as the “atom of evolutionary time (AET).” See text
4. The EvoDevo space may be analogous to the phase space in physics (consisting
of the position axis and the momentum axis that are orthogonal). Just as each
point in the phase space represents the state of a system of many particles and the
evolution of such a system is depicted as a bundle of line trajectories, each point
in the EvoDevo space represents an organism, clusters of points represent groups
of organisms, bundles of line trajectories represent the development of
organisms (groups, taxons, clades), and bifurcating bundles of line trajectories
represent the tree of life.
5. Just as the phase space is essential for statistical mechanics in physics, so
the EvoDevo space may be essential for infostatistical mechanics (defined in
Sect. 4.9 ) that accounts for living structures and processes, that is, life.
An interesting analogy may be drawn between the evolutionary debate between
anti-Darwinians (favoring the variation generation as the cause of evolution) and
neo-Darwinians (claiming the natural selection as the evolutionary cause) on the
one hand and the controversy, on the other hand, about interpreting DNA
microarray data based on the transcriptional control or on both the transcrip-
tional/transcript-degradation controls Ji et al. 2009a). It is well established that
RNA levels measured with DNA microarrays are determined by two opposing
processes - “transcription” and “transcript degradation” (Figs. 12.5 and 12.27)
(Sect. 12.8 ), which can be schematically depicted as in Fig. 14.4 .
Before Perez-Ortin and his group in Valencia (Garcia-Martinez et al. 2004) and
others measured both RNA levels (or transcript levels , TL) and transcription rates
(TR) simultaneously in budding yeast (see Fig. 12.6 ), most experimenters utilizing
microarrays assumed that RNA levels were determined by transcription rates alone
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