[{"title":"Evolution of bow-tie architectures in biology","language":[{"iso":"eng"}],"pubrep_id":"452","doi":"10.1371/journal.pcbi.1004055","month":"03","date_updated":"2025-09-23T08:43:16Z","issue":"3","citation":{"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>","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>.","ista":"Friedlander T, Mayo A, Tlusty T, Alon U. 2015. Evolution of bow-tie architectures in biology. PLoS Computational Biology. 11(3).","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>","short":"T. Friedlander, A. Mayo, T. Tlusty, U. Alon, PLoS Computational Biology 11 (2015).","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>.","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."},"status":"public","_id":"1827","author":[{"full_name":"Friedlander, Tamar","id":"36A5845C-F248-11E8-B48F-1D18A9856A87","first_name":"Tamar","last_name":"Friedlander"},{"full_name":"Mayo, Avraham","first_name":"Avraham","last_name":"Mayo"},{"last_name":"Tlusty","full_name":"Tlusty, Tsvi","first_name":"Tsvi"},{"last_name":"Alon","first_name":"Uri","full_name":"Alon, Uri"}],"date_published":"2015-03-23T00:00:00Z","year":"2015","oa_version":"Published Version","isi":1,"has_accepted_license":"1","volume":11,"oa":1,"quality_controlled":"1","publist_id":"5278","department":[{"_id":"GaTk"}],"ddc":["576"],"publication_status":"published","tmp":{"short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"intvolume":"        11","publication":"PLoS Computational Biology","file":[{"date_updated":"2020-07-14T12:45:17Z","relation":"main_file","file_id":"5161","file_name":"IST-2016-452-v1+1_journal.pcbi.1004055.pdf","creator":"system","checksum":"b8aa66f450ff8de393014b87ec7d2efb","content_type":"application/pdf","date_created":"2018-12-12T10:15:39Z","file_size":1811647,"access_level":"open_access"}],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","related_material":{"record":[{"status":"public","relation":"research_data","id":"9718"},{"relation":"research_data","status":"public","id":"9773"}]},"day":"23","article_processing_charge":"No","date_created":"2018-12-11T11:54:14Z","publisher":"Public Library of Science","project":[{"_id":"25681D80-B435-11E9-9278-68D0E5697425","grant_number":"291734","name":"International IST Postdoc Fellowship Programme","call_identifier":"FP7"}],"ec_funded":1,"file_date_updated":"2020-07-14T12:45:17Z","fulldoi":"https://doi.org/10.1371/journal.pcbi.1004055","external_id":{"isi":["000352195700006"]},"scopus_import":"1","type":"journal_article","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"}]}]