The universe of cellular forms has received scarce attention by mainstream neo-Darwinian views. The possibility that a fundamental trait of biological order may consist upon, or be guided by, developmental processes not completely amenable to natural selection was more akin to previous epochs of biological thought, i.e. the "bauplan" discussion. Thirty years ago, however, Lynn and Tucker studied the biological mechanisms responsible for defining organelles position inside cells. The fact that differentiated structures performing a specific function within the eukaryotic cell (i.e. mitochondrion, vacuole, or chloroplast) were occupying specific positions in the protoplasm was the observational and experimental support of the 'morphogenetic field' notion at the cellular level. In the present paper we study the morphogenetic field evolution yielding from an initial population of undifferentiated cells to diversified unicellular organisms as well as specialized eukaryotic cell types. The cells are represented as Julia sets and Pickover biomorphs, simulating the effect of Darwinian natural selection with a simple genetic algorithm. The morphogenetic field "defines" the locations where cells are differentiated or sub-cellular components (or organelles) become organized. It may be realized by different possibilities, one of them by diffusing chemicals along the Turing model. We found that Pickover cells show a higher diversity of size and form than those populations evolved as Julia sets. Another novelty is the way that cellular organelles and cell nucleus fill in the cell, always in dependence on the previous cell definition as Julia set or Pickover biomorph. Our findings support the existence of specific attractors representing the functional and stable form of a differentiated cell-genuine cellular bauplans. The configuration of the morphogenetic field is "attracted" towards one or another attractor depending on the environmental influences as modeled by a particular fitness function. The model promotes the classical discussions of D'Arcy Thompson and the more recent views of Waddington, Goodwin and others that consider organisms as dynamical systems that evolve through a 'master plan' of transformations, amenable to natural selection. Intriguingly, the model also connects with current developments on mechanobiology, highlighting the informational-developmental role that cytoskeletons may play.
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http://dx.doi.org/10.1016/j.biosystems.2009.07.002 | DOI Listing |
Graefes Arch Clin Exp Ophthalmol
November 2024
Eye Center Nymphenburger Höfe, Augenklinik Herzog Carl Theodor, Nymphenburger Str. 4, 80335, Munich, Germany.
Purpose: Vascular endothelial growth factor (VEGF) inhibition is the current and high-volume standard-of-care for patients with neovascular age-related macular degeneration (nAMD) and diabetic retinopathy (DR) with diabetic macular edema (DME). This study assessed the impact of non-persistence in anti-VEGF treatment using claims data from two German states.
Methods: This study identified adults with nAMD or DR/DME and incident anti-VEGF treatment (= index) in January 2015-June 2019 using the German AOK PLUS claims database (January 2014-June 2021, ~ 3.
Diabetologia
January 2025
Faculty of Health and Medical Science, University of Surrey, Guildford, UK.
Target Oncol
March 2024
Department of Medicine I, Division of Oncology, Christian Doppler Laboratory for Personalized Immunotherapy, Medical University of Vienna, Waehringer Guertel 18-20, 1090, Vienna, Austria.
Background: DNA methylation profiles have emerged as potential predictors of therapeutic response in various solid tumors.
Objective: This study aimed to analyze the DNA methylation profiles of patients with stage IV metastatic melanoma undergoing first-line immune checkpoint inhibitor treatment and evaluate their correlation with a radiological response according to immune-related Response Evaluation Criteria in Solid Tumors (iRECIST).
Methods: A total of 81 tissue samples from 71 patients with metastatic melanoma (27 female, 44 male) were included in this study.
Genome Biol Evol
December 2023
Department for Animal Evolution and Biodiversity, Georg-August-Universität Göttingen, Göttingen 37073, Germany.
Low-coverage whole-genome sequencing (also known as "genome skimming") is becoming an increasingly affordable approach to large-scale phylogenetic analyses. While already routinely used to recover organellar genomes, genome skimming is rather rarely utilized for recovering single-copy nuclear markers. One reason might be that only few tools exist to work with this data type within a phylogenomic context, especially to deal with fragmented genome assemblies.
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