Literature DB >> 34747061

Bridging the explanatory gaps: What can we learn from a biological agency perspective?

Sonia E Sultan1, Armin P Moczek2, Denis Walsh3.   

Abstract

We begin this article by delineating the explanatory gaps left by prevailing gene-focused approaches in our understanding of phenotype determination, inheritance, and the origin of novel traits. We aim not to diminish the value of these approaches but to highlight where their implementation, despite best efforts, has encountered persistent limitations. We then discuss how each of these explanatory gaps can be addressed by expanding research foci to take into account biological agency-the capacity of living systems at various levels to participate in their own development, maintenance, and function by regulating their structures and activities in response to conditions they encounter. Here we aim to define formally what agency and agents are and-just as importantly-what they are not, emphasizing that agency is an empirical property connoting neither intention nor consciousness. Lastly, we discuss how incorporating agency helps to bridge explanatory gaps left by conventional approaches, highlight scientific fields in which implicit agency approaches are already proving valuable, and assess the opportunities and challenges of more systematically incorporating biological agency into research programs.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  developmental bias; developmental plasticity; evolutionary innovation; extra-genetic inheritance; missing inheritance; niche construction

Mesh:

Year:  2021        PMID: 34747061     DOI: 10.1002/bies.202100185

Source DB:  PubMed          Journal:  Bioessays        ISSN: 0265-9247            Impact factor:   4.345


  3 in total

1.  Spatially and Temporally Distributed Complexity-A Refreshed Framework for the Study of GRN Evolution.

Authors:  Alessandro Minelli; Alberto Valero-Gracia
Journal:  Cells       Date:  2022-05-30       Impact factor: 7.666

2.  Is It Necessary to Integrate Evo-Devo to the Analysis and Construction of Artificial Emotional Systems?

Authors:  Jorge Luis Hernández-Ochoa; Francisco Vergara-Silva
Journal:  Front Neurorobot       Date:  2022-05-31       Impact factor: 3.493

3.  Competency in Navigating Arbitrary Spaces as an Invariant for Analyzing Cognition in Diverse Embodiments.

Authors:  Chris Fields; Michael Levin
Journal:  Entropy (Basel)       Date:  2022-06-12       Impact factor: 2.738

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.