Rxivist logo

Rethinking inheritance, yet again: inheritomes, contextomes and dynamic phenotypes

By N G Prasad, Sutirth Dey, Amitabh Joshi, T. N. C. Vidya

Posted 03 Jan 2015
bioRxiv DOI: 10.1101/013367 (published DOI: 10.1007/s12041-015-0554-5)

In recent years, there have been many calls for an extended evolutionary synthesis, based in part upon growing evidence for non-genetic mechanisms of inheritance, i.e., similarities in phenotype between parents and offspring that are not due to shared genes. While there has been an impressive marshalling of evidence for diverse forms of non-genetic inheritance (epigenetic, ecological, behavioural, symbolic), there have been relatively few studies trying to integrate the different forms of inheritance into a common conceptual structure, a development that would be important to formalizing elements of the extended evolutionary synthesis. Here, we propose a framework for an extended view of inheritance and introduce some conceptual distinctions that we believe are important to this issue. In this framework, the phenotype is conceived of as a dynamic entity, its state at any point in time resulting from intertwined effects of previous phenotypic state, and of hereditary materials (DNA and otherwise) and environment. We contrast our framework with the standard gene-based view of inheritance, and also discuss our framework in the specific context of recent attempts to accommodate non-genetic inheritance within the framework of classical quantitative genetics and the Price equation. In particular, we believe that the extended view of inheritance and effects on the phenotype developed here is particularly well-suited to individual-based simulation studies of evolutionary dynamics. The results of such simulations, in turn, could be useful for assessing how well extended models based on quantitative genetics or the Price equation perform at capturing complex evolutionary dynamics.

Download data

  • Downloaded 984 times
  • Download rankings, all-time:
    • Site-wide: 12,226 out of 92,253
    • In evolutionary biology: 701 out of 5,599
  • Year to date:
    • Site-wide: 61,398 out of 92,253
  • Since beginning of last month:
    • Site-wide: 60,304 out of 92,253

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide


Sign up for the Rxivist weekly newsletter! (Click here for more details.)