12
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A network analysis of early arthropod evolution and the potential of the primitive

      research-article
      1 , 2 ,
      Scientific Reports
      Nature Publishing Group UK
      Network topology, Evolutionary developmental biology

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          It is often thought that the primitive is simpler, and that the complex is generated from the simple by some process of self-assembly or self-organization, which ultimately consists of the spontaneous and fortuitous collision of elementary units. This idea is included in the Darwinian theory of evolution, to which is added the competitive mechanism of natural selection. To test this view, we studied the early evolution of arthropods. Twelve groups of arthropods belonging to the Burgess Shale, Orsten Lagerstätte, and extant primitive groups were selected, their external morphology abstracted and codified in the language of network theory. The analysis of these networks through different network measures (network parameters, topological descriptors, complexity measures) was used to carry out a Principal Component Analysis (PCA) and a Hierarchical Cluster Analysis (HCA), which allowed us to obtain an evolutionary tree with distinctive/novel features. The analysis of centrality measures revealed that these measures decreased throughout the evolutionary process, and led to the creation of the concept of evolutionary developmental potential. This potential, which measures the capacity of a morphological unit to generate changes in its surroundings, is concomitantly reduced throughout the evolutionary process, and demonstrates that the primitive is not simple but has a potential that unfolds during this process. This means for us the first empirical evolutionary evidence of our theory of evolution as a process of unfolding.

          Related collections

          Most cited references125

          • Record: found
          • Abstract: found
          • Article: not found

          Efficient Behavior of Small-World Networks

          We introduce the concept of efficiency of a network as a measure of how efficiently it exchanges information. By using this simple measure, small-world networks are seen as systems that are both globally and locally efficient. This gives a clear physical meaning to the concept of "small world," and also a precise quantitative analysis of both weighted and unweighted networks. We study neural networks and man-made communication and transportation systems and we show that the underlying general principle of their construction is in fact a small-world principle of high efficiency.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The Structure and Function of Complex Networks

            M. Newman (2003)
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Gephi: An Open Source Software for Exploring and Manipulating Networks

              Gephi is an open source software for graph and network analysis. It uses a 3D render engine to display large networks in real-time and to speed up the exploration. A flexible and multi-task architecture brings new possibilities to work with complex data sets and produce valuable visual results.  We present several key features of Gephi in the context of interactive exploration and interpretation of networks. It provides easy and broad access to network data and allows for spatializing, filtering, navigating, manipulating and clustering. Finally, by presenting dynamic features of Gephi, we highlight key aspects of dynamic network visualization.
                Bookmark

                Author and article information

                Contributors
                aostachuk@evolutio.ar
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                4 January 2024
                4 January 2024
                2024
                : 14
                : 503
                Affiliations
                [1 ]Museo de La Plata (MLP), Universidad Nacional de La Plata (UNLP), ( https://ror.org/01tjs6929) Buenos Aires, Argentina
                [2 ]EVOLUTIO: A Research Center for Evolution and Development, Buenos Aires, Argentina
                Article
                51019
                10.1038/s41598-023-51019-x
                10766614
                38177280
                cb7b0251-3d72-4844-8a97-939ac9240dd1
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 November 2023
                : 29 December 2023
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                network topology,evolutionary developmental biology
                Uncategorized
                network topology, evolutionary developmental biology

                Comments

                Comment on this article