UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Co-Expression Network Models Suggest that Stress Increases Tolerance to Mutations

Lehtinen, S; Bähler, J; Orengo, C; (2015) Co-Expression Network Models Suggest that Stress Increases Tolerance to Mutations. Scientific Reports , 5 , Article 16726. 10.1038/srep16726. Green open access

[thumbnail of Co-Expression Network Models Suggest that Stress Increases Tolerance to Mutations.pdf] Text
Co-Expression Network Models Suggest that Stress Increases Tolerance to Mutations.pdf - Published Version

Download (516kB)

Abstract

Network models are a well established tool for studying the robustness of complex systems, including modelling the effect of loss of function mutations in protein interaction networks. Past work has concentrated on average damage caused by random node removal, with little attention to the shape of the damage distribution. In this work, we use fission yeast co-expression networks before and after exposure to stress to model the effect of stress on mutational robustness. We find that exposure to stress decreases the average damage from node removal, suggesting stress induces greater tolerance to loss of function mutations. The shape of the damage distribution is also changed upon stress, with a greater incidence of extreme damage after exposure to stress. We demonstrate that the change in shape of the damage distribution can have considerable functional consequences, highlighting the need to consider the damage distribution in addition to average behaviour.

Type: Article
Title: Co-Expression Network Models Suggest that Stress Increases Tolerance to Mutations
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/srep16726
Publisher version: http://dx.doi.org/10.1038/srep16726
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Genetics, Evolution and Environment
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Div of Biosciences > Structural and Molecular Biology
URI: https://discovery.ucl.ac.uk/id/eprint/1476089
Downloads since deposit
81Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item