The Phenotype Paradox: Lessons From Natural Transcriptome Evolution on How to Engineer Plants
Plants have evolved genome complexity through iterative rounds of single gene and whole genome duplication. This has led to substantial expansion in transcription factor numbers following preferential retention and subsequent functional divergence of these regulatory genes. Here we review how this s...
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Published in | Frontiers in plant science Vol. 11; p. 75 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Abstract | Plants have evolved genome complexity through iterative rounds of single gene and whole genome duplication. This has led to substantial expansion in transcription factor numbers following preferential retention and subsequent functional divergence of these regulatory genes. Here we review how this simple evolutionary network rewiring process, regulatory gene duplication followed by functional divergence, can be used to inspire synthetic biology approaches that seek to develop novel phenotypic variation for future trait based breeding programs in plants. |
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AbstractList | Plants have evolved genome complexity through iterative rounds of single gene and whole genome duplication. This has led to substantial expansion in transcription factor numbers following preferential retention and subsequent functional divergence of these regulatory genes. Here we review how this simple evolutionary network rewiring process, regulatory gene duplication followed by functional divergence, can be used to inspire synthetic biology approaches that seek to develop novel phenotypic variation for future trait based breeding programs in plants. |
Author | Windram, Oliver P F Law, Justin Ng, Kangbo |
AuthorAffiliation | 3 Institute for the Physics of Living Systems, University College London , London , United Kingdom 2 The Francis Crick Institute , London , United Kingdom 1 Grand Challenges in Ecosystems and the Environment, Imperial College London , Ascot , United Kingdom |
AuthorAffiliation_xml | – name: 2 The Francis Crick Institute , London , United Kingdom – name: 1 Grand Challenges in Ecosystems and the Environment, Imperial College London , Ascot , United Kingdom – name: 3 Institute for the Physics of Living Systems, University College London , London , United Kingdom |
Author_xml | – sequence: 1 givenname: Justin surname: Law fullname: Law, Justin organization: Grand Challenges in Ecosystems and the Environment, Imperial College London, Ascot, United Kingdom – sequence: 2 givenname: Kangbo surname: Ng fullname: Ng, Kangbo organization: Institute for the Physics of Living Systems, University College London, London, United Kingdom – sequence: 3 givenname: Oliver P F surname: Windram fullname: Windram, Oliver P F organization: Grand Challenges in Ecosystems and the Environment, Imperial College London, Ascot, United Kingdom |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32133018$$D View this record in MEDLINE/PubMed |
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Keywords | systems biology breeding and genomics gene network analysis synthetic biology directed evolution |
Language | English |
License | Copyright © 2020 Law, Ng and Windram. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Reviewed by: Tsubasa Shoji, Nara Institute of Science and Technology (NAIST), Japan; Zhe Liang, Heidelberg University, Germany This article was submitted to Plant Biotechnology, a section of the journal Frontiers in Plant Science Edited by: Henrik Scheller, Lawrence Berkeley National Laboratory, United States |
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SubjectTerms | breeding and genomics directed evolution gene network analysis Plant Science synthetic biology systems biology |
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Title | The Phenotype Paradox: Lessons From Natural Transcriptome Evolution on How to Engineer Plants |
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