There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.number | 3 | - |
dc.citation.startPage | 1004055 | - |
dc.citation.title | PLOS COMPUTATIONAL BIOLOGY | - |
dc.citation.volume | 11 | - |
dc.contributor.author | Friedlander, Tamar | - |
dc.contributor.author | Mayo, Avraham E. | - |
dc.contributor.author | Tlusty, Tsvi | - |
dc.contributor.author | Alon, Uri | - |
dc.date.accessioned | 2023-12-22T01:37:02Z | - |
dc.date.available | 2023-12-22T01:37:02Z | - |
dc.date.created | 2016-06-07 | - |
dc.date.issued | 2015-03 | - |
dc.description.abstract | Bow-tie or hourglass structure is a common architectural feature found in many biological systems. A bow-tie in a multi-layered structure occurs when intermediate layers have much fewer components than the input and output layers. Examples include metabolism where a handful of building blocks mediate between multiple input nutrients and multiple output biomass components, and signaling networks where information from numerous receptor types passes through a small set of signaling pathways to regulate multiple output genes. Little is known, however, about how bow-tie architectures evolve. Here, we address the evolution of bow-tie architectures using simulations of multi-layered systems evolving to fulfill a given input-output goal. We find that bow-ties spontaneously evolve when the information in the evolutionary goal can be compressed. Mathematically speaking, bow-ties evolve when the rank of the input-output matrix describing the evolutionary goal is deficient. The maximal compression possible (the rank of the goal) determines the size of the narrowest part of the network—that is the bow-tie. A further requirement is that a process is active to reduce the number of links in the network, such as product-rule mutations, otherwise a non-bow-tie solution is found in the evolutionary simulations. This offers a mechanism to understand a common architectural principle of biological systems, and a way to quantitate the effective rank of the goals under which they evolved. | - |
dc.identifier.bibliographicCitation | PLOS COMPUTATIONAL BIOLOGY, v.11, no.3, pp.1004055 | - |
dc.identifier.doi | 10.1371/journal.pcbi.1004055 | - |
dc.identifier.issn | 1553-734X | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/19968 | - |
dc.identifier.url | http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004055 | - |
dc.identifier.wosid | 000352195700006 | - |
dc.language | 영어 | - |
dc.publisher | PUBLIC LIBRARY SCIENCE | - |
dc.title | Evolution of Bow-Tie Architectures in Biology | - |
dc.type | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.