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<titleInfo><title>Evolution of bow-tie architectures in biology</title></titleInfo>


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<name type="personal">
  <namePart type="given">Tamar</namePart>
  <namePart type="family">Friedlander</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">36A5845C-F248-11E8-B48F-1D18A9856A87</identifier></name>
<name type="personal">
  <namePart type="given">Avraham</namePart>
  <namePart type="family">Mayo</namePart>
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<name type="personal">
  <namePart type="given">Tsvi</namePart>
  <namePart type="family">Tlusty</namePart>
  <role><roleTerm type="text">author</roleTerm> </role></name>
<name type="personal">
  <namePart type="given">Uri</namePart>
  <namePart type="family">Alon</namePart>
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  <namePart>International IST Postdoc Fellowship Programme</namePart>
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<abstract lang="eng">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.</abstract>

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<originInfo><publisher>Public Library of Science</publisher><dateIssued encoding="w3cdtf">2015</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<relatedItem type="host"><titleInfo><title>PLoS Computational Biology</title></titleInfo>
  <identifier type="ISI">000352195700006</identifier><identifier type="doi">10.1371/journal.pcbi.1004055</identifier>
<part><detail type="volume"><number>11</number></detail><detail type="issue"><number>3</number></detail>
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  <location>     <url>https://research-explorer.ista.ac.at/record/9718</url>     <url>https://research-explorer.ista.ac.at/record/9773</url>  </location>
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<ieee>T. Friedlander, A. Mayo, T. Tlusty, and U. Alon, “Evolution of bow-tie architectures in biology,” &lt;i&gt;PLoS Computational Biology&lt;/i&gt;, vol. 11, no. 3. Public Library of Science, 2015.</ieee>
<ama>Friedlander T, Mayo A, Tlusty T, Alon U. Evolution of bow-tie architectures in biology. &lt;i&gt;PLoS Computational Biology&lt;/i&gt;. 2015;11(3). doi:&lt;a href=&quot;https://doi.org/10.1371/journal.pcbi.1004055&quot;&gt;10.1371/journal.pcbi.1004055&lt;/a&gt;</ama>
<chicago>Friedlander, Tamar, Avraham Mayo, Tsvi Tlusty, and Uri Alon. “Evolution of Bow-Tie Architectures in Biology.” &lt;i&gt;PLoS Computational Biology&lt;/i&gt;. Public Library of Science, 2015. &lt;a href=&quot;https://doi.org/10.1371/journal.pcbi.1004055&quot;&gt;https://doi.org/10.1371/journal.pcbi.1004055&lt;/a&gt;.</chicago>
<apa>Friedlander, T., Mayo, A., Tlusty, T., &amp;#38; Alon, U. (2015). Evolution of bow-tie architectures in biology. &lt;i&gt;PLoS Computational Biology&lt;/i&gt;. Public Library of Science. &lt;a href=&quot;https://doi.org/10.1371/journal.pcbi.1004055&quot;&gt;https://doi.org/10.1371/journal.pcbi.1004055&lt;/a&gt;</apa>
<short>T. Friedlander, A. Mayo, T. Tlusty, U. Alon, PLoS Computational Biology 11 (2015).</short>
<mla>Friedlander, Tamar, et al. “Evolution of Bow-Tie Architectures in Biology.” &lt;i&gt;PLoS Computational Biology&lt;/i&gt;, vol. 11, no. 3, Public Library of Science, 2015, doi:&lt;a href=&quot;https://doi.org/10.1371/journal.pcbi.1004055&quot;&gt;10.1371/journal.pcbi.1004055&lt;/a&gt;.</mla>
<ista>Friedlander T, Mayo A, Tlusty T, Alon U. 2015. Evolution of bow-tie architectures in biology. PLoS Computational Biology. 11(3).</ista>
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