Diatom Morphogenesis. Группа авторов

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deposition contributing to the height of silica on the valve surface contributes to species-specific pattern formation [2.154]. Given constraints in the process, at the valve micro-scale surface, chaotic or random instability may be present, while at the nano-scale level, hexagonal or round pores with varying patterns of cribra within areolae pores may be in a regular periodic stabilizing pattern. Morphometric noise of multiple traits has weak control over pore shape and size. Development of a morphological character such as a pore is affected by inhibitors in contrast to the spatial arrangement of pores [2.154]. With further study, parsing the relation between unstable and stable states at multiple scales may be useful in understanding symmetry breaking [2.41, 2.102] during valve morphogenesis.

      2.4.3 Symmetry, Stability and Diatom Morphogenesis

      Diatoms and valve morphogenesis are a combination of static structure formation at specific time junctures and a dynamic progression to the formation of the vegetative cell. As static structures, diatoms have high symmetry, termed uncanny symmetry. As selforganizing siliceous structures, they are some of the most stable static structures. Entropy as an ensemble measure [2.84] is instrumental in measuring of silica-deposited dynamics during valve formation that lead to the various regularly created geometric patterns defining species-specific valve surfaces.

      The dynamical process from a more to less chaotic unstable state may be a characterization of self-organization. In the valve formation process, self-organization is the recovery from a chaotic unstable state, even though the chaotic state could be construed to be “normal.” Symmetry is a reflection of these states. In contrast, abnormally developed valves could be construed to be in a higher “abnormal” chaotic state, and stress during valve formation is evidenced by the resultant vegetative cell and its increasingly asymmetry state. Self-organization as the appearance of new structures may be a transition from a more chaotic, unordered to less chaotic, more ordered symmetry state, or vice versa in the case of a final abnormal symmetry state. In this way, equilibrium states during non-linear dissipative fluctuations in a dynamical system may end up being the most chaotic states [2.71].

      The picture that symmetry and its relation to stability exhibits during morphogenesis is not straight-forward. In fact, no quantitative generalized overall framework for evolutionary dynamics, including stability of structural inheritance or structural integrity during reproduction for changing environmental conditions, exists with respect to diatom morphogenesis [2.131]. From our study, we give a speculative understanding and interpretation of our results on symmetry and stability as they pertain to the three major steps of centric diatom morphogenesis [2.126].

      Figure 2.25 Average sequence of 24 simulated valve formation steps of symmetry for eight centric diatom taxa. Symmetry increases exponentially from the annulus to the completed valve.

      Overall, symmetry increased over the valve formation simulation with highest symmetry at the finished vegetative valve (Figure 2.19). The basal layer that forms from silica deposition horizontally during the first major step of diatom valve morphogenesis, starting with the annulus, is roughly covered by the first 8 of 24 “stages” of simulation (Figure 2.18). Symmetry with the lowest values occurring at approximately the same value (Figure 2.25). For roughly “stages” 9–16 representing the second major step, vertical silica deposition is represented by the changing luminosity of pixels in the central area of the images as the indication of the formation of rays and areolae emerges (Figure 2.18). Symmetry changes become more evident, going from low to higher symmetry, yet still within a small range (Figure 2.25). For the final major step, horizontal silica deposition is represented by even more changes in pixel luminosity over the valve face in “stages” 17 to 24 where indications of the formation of cribra going toward the valve margin is present (Figure 2.18). Symmetry changes are highest in these “stages”, representing completion of silica deposition of the valve (Figure 2.25). The valve forms present during the three major valve formation steps may be viewed as symmetries functioning as silica depositional ensembles changing in direction and magnitude (horizontally to vertically to horizontally again) on the valve face. This dynamical system operates at equilibrium with exponentially changing symmetry occurring via chaotic instability during valve formation.

      2.4.4 Future Research—Symmetry, Stability and Directionality in Diatom Morphogenesis

      Improvements to assessing such systems for the factors enabling directionality with respect to stability or instability are in the offing by using Lyapunov co-vectors [2.39]. These co-vectors are associated with stable and unstable manifolds via Lyapunov exponents along trajectories in a dynamical system [2.39, 2.101], and they are also associated with entropies with respect to Lyapunov exponents [2.39, 2.110]. There are positive Lyapunov exponents associated with forward Lyapunov co-vectors, and negative Lyapunov exponents associated with backward Lyapunov co-vectors [2.77]. These Lyapunov co-vectors do not directly indicate time; however, they can indicate directionality, and inferences about directionality with respect to time may be determined. Directionality with respect to valve formation changes at species-level or higher taxonomic category may be informative about diatom evolution.

      To determine directionality, irreversibility and degree of indistinguishability among symmetry states need to be assessed within a dynamical morphogenetic system. Changes in instability behavior, at which points, stability occurs, are potentially a multidimensional and multiscale problem. Chaotic instability may be a part of directionality for shorter time spans in contrast to long term random instability potentially for all dimensions and scales during the morphogenetic process. More detailed work is necessary to determine the contributions of stability and instability as well as symmetry at each morphogenetic stage. A more exacting representation is needed of diatom valve formation in morphogenesis concerning irreversibility of the process and indistinguishability of symmetry states and their associated valve formation stages.

      If successive states of instability via symmetry states are found during diatom valve formation or morphogenesis more broadly, how does this impact diatom morphological complexity [2.107] over time? Additionally, what happens to morphological complexity over long time periods at stationarity? The expectation is that dynamical complexity is related to chaotic instability [2.22] and that increasing complexity occurs over time. Algorithmic information theory may be used to tie symmetry to complexity and to determine the role of instability over time, and in turn, gain an understanding of another facet of diatom morphogenesis.

      [2.1] Albrecht-Buehler, G., Daughter 3T3 cells. Are they mirror images of each other? J. Cell Biol. ,72, 3, 595–603, 1977.

      [2.2] Alicea, B. and Gordon, R., Toy models for macroevolutionary patterns and trends. BioSystems, 122, Special Issue: Patterns of Evolution, 25–37, 2014.

      [2.3] Alicea, B. and Gordon, R., Cell differentiation processes as spatial networks: Identifying four-dimensional structure in embryogenesis. BioSystems, 173, 235–246, 2018.

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