EconPapers    
Economics at your fingertips  
 

The Yeast Protein Interaction Network Evolves Rapidly and Contains Few Redundant Duplicate Genes

Andreas Wagner

Working Papers from Santa Fe Institute

Abstract: The structure and evolution of the protein interaction network of the yeast Saccharomyces cerevisiae is analyzed. The network is viewed as a graph whose nodes correspond to proteins. Two proteins are connected by an edge if they interact. The network resembles a random graph, in that it consists of many small subnets, groups of proteins that interact with each other but do not interact with any other protein, and one large connected subnet comprising more than half of all interacting proteins. The number of interactions per protein appears to follow a power-law distribution. Within approximately 200 million years after a duplication, the products of duplicate genes become almost equally likely to (i) have common protein interaction partners, and (ii) be part of the same sub-network, as two proteins chosen at random from within the network. This indicates that the persistence of redundant interaction partners is the exception rather than the rule. After gene duplication, the likelihood that an interaction gets lost exceeds 2.2x10-3 per million years. New interactions are estimated to evolve at rate that is approximately three orders of magnitude smaller. Every 300 million years, as many as half of all interactions may become replaced by new interactions.

Date: 2001-04
New Economics Papers: this item is included in nep-ent and nep-net
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wop:safiwp:01-04-022

Access Statistics for this paper

More papers in Working Papers from Santa Fe Institute Contact information at EDIRC.
Bibliographic data for series maintained by Thomas Krichel ().

 
Page updated 2025-03-22
Handle: RePEc:wop:safiwp:01-04-022