{"publication":"PLoS Computational Biology","date_created":"2018-12-11T11:54:14Z","ddc":["576"],"year":"2015","file":[{"creator":"system","checksum":"b8aa66f450ff8de393014b87ec7d2efb","file_id":"5161","access_level":"open_access","relation":"main_file","file_size":1811647,"file_name":"IST-2016-452-v1+1_journal.pcbi.1004055.pdf","date_created":"2018-12-12T10:15:39Z","date_updated":"2020-07-14T12:45:17Z","content_type":"application/pdf"}],"article_processing_charge":"No","date_published":"2015-03-23T00:00:00Z","file_date_updated":"2020-07-14T12:45:17Z","language":[{"iso":"eng"}],"publist_id":"5278","author":[{"first_name":"Tamar","full_name":"Friedlander, Tamar","id":"36A5845C-F248-11E8-B48F-1D18A9856A87","last_name":"Friedlander"},{"first_name":"Avraham","full_name":"Mayo, Avraham","last_name":"Mayo"},{"last_name":"Tlusty","full_name":"Tlusty, Tsvi","first_name":"Tsvi"},{"last_name":"Alon","full_name":"Alon, Uri","first_name":"Uri"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","department":[{"_id":"GaTk"}],"publisher":"Public Library of Science","scopus_import":1,"oa":1,"publication_status":"published","_id":"1827","doi":"10.1371/journal.pcbi.1004055","title":"Evolution of bow-tie architectures in biology","issue":"3","month":"03","oa_version":"Published Version","type":"journal_article","citation":{"short":"T. Friedlander, A. Mayo, T. Tlusty, U. Alon, PLoS Computational Biology 11 (2015).","apa":"Friedlander, T., Mayo, A., Tlusty, T., &#38; Alon, U. (2015). Evolution of bow-tie architectures in biology. <i>PLoS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1004055\">https://doi.org/10.1371/journal.pcbi.1004055</a>","ama":"Friedlander T, Mayo A, Tlusty T, Alon U. Evolution of bow-tie architectures in biology. <i>PLoS Computational Biology</i>. 2015;11(3). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1004055\">10.1371/journal.pcbi.1004055</a>","ista":"Friedlander T, Mayo A, Tlusty T, Alon U. 2015. Evolution of bow-tie architectures in biology. PLoS Computational Biology. 11(3).","ieee":"T. Friedlander, A. Mayo, T. Tlusty, and U. Alon, “Evolution of bow-tie architectures in biology,” <i>PLoS Computational Biology</i>, vol. 11, no. 3. Public Library of Science, 2015.","chicago":"Friedlander, Tamar, Avraham Mayo, Tsvi Tlusty, and Uri Alon. “Evolution of Bow-Tie Architectures in Biology.” <i>PLoS Computational Biology</i>. Public Library of Science, 2015. <a href=\"https://doi.org/10.1371/journal.pcbi.1004055\">https://doi.org/10.1371/journal.pcbi.1004055</a>.","mla":"Friedlander, Tamar, et al. “Evolution of Bow-Tie Architectures in Biology.” <i>PLoS Computational Biology</i>, vol. 11, no. 3, Public Library of Science, 2015, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1004055\">10.1371/journal.pcbi.1004055</a>."},"intvolume":"        11","date_updated":"2023-02-23T14:07:51Z","tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png"},"status":"public","abstract":[{"text":"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.","lang":"eng"}],"day":"23","quality_controlled":"1","license":"https://creativecommons.org/licenses/by/4.0/","related_material":{"record":[{"relation":"research_data","id":"9718","status":"public"},{"relation":"research_data","status":"public","id":"9773"}]},"ec_funded":1,"project":[{"name":"International IST Postdoc Fellowship Programme","_id":"25681D80-B435-11E9-9278-68D0E5697425","call_identifier":"FP7","grant_number":"291734"}],"volume":11,"pubrep_id":"452","has_accepted_license":"1"}