Title | Hidden long evolutionary memory in a model biochemical network. |
Publication Type | Journal Article |
Year of Publication | 2018 |
Authors | Ali, MZulfikar, Wingreen, NS, Mukhopadhyay, R |
Journal | Phys Rev E |
Volume | 97 |
Issue | 4-1 |
Pagination | 040401 |
Date Published | 2018 Apr |
ISSN | 2470-0053 |
Keywords | Evolution, Molecular, Models, Biological, Mutation, Protein Interaction Maps |
Abstract | <p>We introduce a minimal model for the evolution of functional protein-interaction networks using a sequence-based mutational algorithm, and apply the model to study neutral drift in networks that yield oscillatory dynamics. Starting with a functional core module, random evolutionary drift increases network complexity even in the absence of specific selective pressures. Surprisingly, we uncover a hidden order in sequence space that gives rise to long-term evolutionary memory, implying strong constraints on network evolution due to the topology of accessible sequence space.</p> |
DOI | 10.1103/PhysRevE.97.040401 |
Alternate Journal | Phys Rev E |
PubMed ID | 29758653 |
PubMed Central ID | PMC5973509 |
Grant List | R01 GM082938 / GM / NIGMS NIH HHS / United States |