The transcription factors and its implications in adaptive evolution
- Published
- Accepted
- Subject Areas
- Animal Behavior, Cell Biology, Ecology, Molecular Biology
- Keywords
- adaptive system, gametogenesis, stimuli, stochastic, robustness
- Copyright
- © 2018 Zapata Trejo
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. The transcription factors and its implications in adaptive evolution. PeerJ Preprints 6:e26862v8 https://doi.org/10.7287/peerj.preprints.26862v8
Abstract
The random to explain the emergence of variations in sequence of the alleles is the current scientific paradigm of evolutionary biology. Here is argued that interactions between instincts and transcription factors (TFs) are the main cause of emergence of such variations. Advances in epigenomics show that this molecular function plays an important role in the regulation of gene expression of all cells, both prokaryotes and eukaryotes, and indicates which specific genes should be transcribed and which should be translated. Under this context, the present work pretends evaluate the current evidence on the increase in mutation rate caused by transcription-associated mutational pressure in primordial germ cells due to presence of TFs also present in somatic cells involved in an instinct. In conclusion is established that adaptive evolution can understood as biological superposition of 4 functional states. This work that is added to the evolutionary theoretical framework contributes with an alternative causal understanding of adaptive evolution.
Author Comment
This version improved of content presented above show the same ideas with higher analysis and distinct approach: the systems biology. The paper is divided in sections to higher understanding of arguments. The references cite has been carefully select. Also, are added three equations for described the concepts presented.