Klein, B., Holmér, L., Smith, K.M. ORCID: 0000-0002-4615-9020, Johnson, M.M., Swain, A., Stolp, L., Teufel, A.I. and Kleppe, A.S., 2021. A computational exploration of resilience and evolvability of protein–protein interaction networks. Communications Biology, 4: 1352. ISSN 2399-3642
|
Text
1502606_Smith.pdf - Published version Download (3MB) | Preview |
Abstract
Protein-protein interaction (PPI) networks represent complex intra-cellular protein interactions , and the presence or absence of such interactions can lead to biological changes in an organism. Recent network-based approaches have shown that a phenotype's PPI network's resilience to environmental perturbations is related to its placement in the tree of life; though we still do not know how or why certain intra-cellular factors can bring about this resilience. Here, we explore the influence of gene expression and network properties on PPI networks' resilience. We use publicly available data of PPIs for E. coli, S. cerevisiae, and H. sapiens, where we compute changes in network resilience as new nodes (proteins) are added to the networks under three node addition mechanisms-random, degree-based, and gene-expression-based attachments. By calculating the resilience of the resulting networks, we estimate the effectiveness of these node addition mechanisms. We demonstrate that adding nodes with gene-expression-based preferential attachment (as opposed to random or degree-based) preserves and can increase the original resilience of PPI network in all three species, regardless of gene expression distribution or network structure. These findings introduce a general notion of prospective resilience, which highlights the key role of network structures in understanding the evolvability of phenotypic traits.
Item Type: | Journal article | ||||||
---|---|---|---|---|---|---|---|
Publication Title: | Communications Biology | ||||||
Creators: | Klein, B., Holmér, L., Smith, K.M., Johnson, M.M., Swain, A., Stolp, L., Teufel, A.I. and Kleppe, A.S. | ||||||
Publisher: | Springer | ||||||
Date: | 2 December 2021 | ||||||
Volume: | 4 | ||||||
ISSN: | 2399-3642 | ||||||
Identifiers: |
|
||||||
Divisions: | Schools > School of Science and Technology | ||||||
Record created by: | Jonathan Gallacher | ||||||
Date Added: | 10 Dec 2021 11:51 | ||||||
Last Modified: | 10 Dec 2021 11:53 | ||||||
URI: | https://irep.ntu.ac.uk/id/eprint/45103 |
Actions (login required)
Edit View |
Views
Views per month over past year
Downloads
Downloads per month over past year