Evolution of weak cooperative interactions for biological specificity

© 2018 National Academy of Sciences. All rights reserved. A hallmark of biological systems is that particular functions and outcomes are realized in specific contexts, such as when particular signals are received. One mechanism for mediating specificity is described by Fisher’s “lock and key” metaph...

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Main Authors: Gao, Ang, Shrinivas, Krishna, Lepeudry, Paul, Suzuki, Hiroshi I., Sharp, Phillip A., Chakraborty, Arup K.
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering
Format: Article
Language:English
Published: National Academy of Sciences 2022
Online Access:https://hdl.handle.net/1721.1/136355.2
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author Gao, Ang
Shrinivas, Krishna
Lepeudry, Paul
Suzuki, Hiroshi I.
Sharp, Phillip A.
Chakraborty, Arup K.
author2 Massachusetts Institute of Technology. Department of Chemical Engineering
author_facet Massachusetts Institute of Technology. Department of Chemical Engineering
Gao, Ang
Shrinivas, Krishna
Lepeudry, Paul
Suzuki, Hiroshi I.
Sharp, Phillip A.
Chakraborty, Arup K.
author_sort Gao, Ang
collection MIT
description © 2018 National Academy of Sciences. All rights reserved. A hallmark of biological systems is that particular functions and outcomes are realized in specific contexts, such as when particular signals are received. One mechanism for mediating specificity is described by Fisher’s “lock and key” metaphor, exemplified by enzymes that bind selectively to a particular substrate via specific finely tuned interactions. Another mechanism, more prevalent in multicellular organisms, relies on multivalent weak cooperative interactions. Its importance has recently been illustrated by the recognition that liquid-liquid phase transitions underlie the formation of mem-braneless condensates that perform specific cellular functions. Based on computer simulations of an evolutionary model, we report that the latter mechanism likely became evolutionarily prominent when a large number of tasks had to be performed specifically for organisms to function properly. We find that the emergence of weak cooperative interactions for mediating specificity results in organisms that can evolve to accomplish new tasks with fewer, and likely less lethal, mutations. We argue that this makes the system more capable of undergoing evolutionary changes robustly, and thus this mechanism has been repeatedly positively selected in increasingly complex organisms. Specificity mediated by weak cooperative interactions results in some useful cross-reactivity for related tasks, but at the same time increases susceptibility to misregulation that might lead to pathologies.
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spelling mit-1721.1/136355.22024-06-07T20:28:42Z Evolution of weak cooperative interactions for biological specificity Gao, Ang Shrinivas, Krishna Lepeudry, Paul Suzuki, Hiroshi I. Sharp, Phillip A. Chakraborty, Arup K. Massachusetts Institute of Technology. Department of Chemical Engineering Massachusetts Institute of Technology. Department of Physics Ragon Institute of MGH, MIT and Harvard Massachusetts Institute of Technology. Institute for Medical Engineering & Science Koch Institute for Integrative Cancer Research at MIT Massachusetts Institute of Technology. Department of Biology Massachusetts Institute of Technology. Department of Chemistry Massachusetts Institute of Technology. Department of Chemical Engineering © 2018 National Academy of Sciences. All rights reserved. A hallmark of biological systems is that particular functions and outcomes are realized in specific contexts, such as when particular signals are received. One mechanism for mediating specificity is described by Fisher’s “lock and key” metaphor, exemplified by enzymes that bind selectively to a particular substrate via specific finely tuned interactions. Another mechanism, more prevalent in multicellular organisms, relies on multivalent weak cooperative interactions. Its importance has recently been illustrated by the recognition that liquid-liquid phase transitions underlie the formation of mem-braneless condensates that perform specific cellular functions. Based on computer simulations of an evolutionary model, we report that the latter mechanism likely became evolutionarily prominent when a large number of tasks had to be performed specifically for organisms to function properly. We find that the emergence of weak cooperative interactions for mediating specificity results in organisms that can evolve to accomplish new tasks with fewer, and likely less lethal, mutations. We argue that this makes the system more capable of undergoing evolutionary changes robustly, and thus this mechanism has been repeatedly positively selected in increasingly complex organisms. Specificity mediated by weak cooperative interactions results in some useful cross-reactivity for related tasks, but at the same time increases susceptibility to misregulation that might lead to pathologies. 2022-07-12T15:38:57Z 2021-10-27T20:35:01Z 2022-07-12T15:38:57Z 2018-11 2018-09 2019-08-15T17:38:42Z Article http://purl.org/eprint/type/JournalArticle 0027-8424 1091-6490 https://hdl.handle.net/1721.1/136355.2 en http://dx.doi.org/10.1073/pnas.1815912115 Proceedings of the National Academy of Sciences Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/octet-stream National Academy of Sciences PNAS
spellingShingle Gao, Ang
Shrinivas, Krishna
Lepeudry, Paul
Suzuki, Hiroshi I.
Sharp, Phillip A.
Chakraborty, Arup K.
Evolution of weak cooperative interactions for biological specificity
title Evolution of weak cooperative interactions for biological specificity
title_full Evolution of weak cooperative interactions for biological specificity
title_fullStr Evolution of weak cooperative interactions for biological specificity
title_full_unstemmed Evolution of weak cooperative interactions for biological specificity
title_short Evolution of weak cooperative interactions for biological specificity
title_sort evolution of weak cooperative interactions for biological specificity
url https://hdl.handle.net/1721.1/136355.2
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