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Synthetic directed evolution in plants: unlocking trait engineering and improvement
Genetic variation accelerates adaptation and resilience and enables the survival of species in their changing environment. Increasing the genetic diversity of crop species is essential to improve their yield and enhance food security. Synthetic directed evolution (SDE) employs localized sequence div...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434914/ https://www.ncbi.nlm.nih.gov/pubmed/34522785 http://dx.doi.org/10.1093/synbio/ysab025 |
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author | Rao, Gundra Sivakrishna Jiang, Wenjun Mahfouz, Magdy |
author_facet | Rao, Gundra Sivakrishna Jiang, Wenjun Mahfouz, Magdy |
author_sort | Rao, Gundra Sivakrishna |
collection | PubMed |
description | Genetic variation accelerates adaptation and resilience and enables the survival of species in their changing environment. Increasing the genetic diversity of crop species is essential to improve their yield and enhance food security. Synthetic directed evolution (SDE) employs localized sequence diversification (LSD) of gene sequence and selection pressure to evolve gene variants with better fitness, improved properties and desired phenotypes. Recently, CRISPR–Cas-dependent and -independent technologies have been applied for LSD to mediate synthetic evolution in diverse species, including plants. SDE holds excellent promise to discover, accelerate and expand the range of traits of the value in crop species. Here, we highlight the efficient SDE approaches for the LSD of plant genes, selection strategies and critical traits for targeted improvement. We discuss the potential of emerging technologies, including CRISPR–Cas base editing, retron editing, EvolvR and prime editing, to establish efficient SDE in plants. Moreover, we cover CRISPR–Cas-independent technologies, including T7 polymerase editor for continuous evolution. We highlight the key challenges and potential solutions of applying SDE technologies to improve the plant traits of the value. |
format | Online Article Text |
id | pubmed-8434914 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84349142021-09-13 Synthetic directed evolution in plants: unlocking trait engineering and improvement Rao, Gundra Sivakrishna Jiang, Wenjun Mahfouz, Magdy Synth Biol (Oxf) Perspectives Genetic variation accelerates adaptation and resilience and enables the survival of species in their changing environment. Increasing the genetic diversity of crop species is essential to improve their yield and enhance food security. Synthetic directed evolution (SDE) employs localized sequence diversification (LSD) of gene sequence and selection pressure to evolve gene variants with better fitness, improved properties and desired phenotypes. Recently, CRISPR–Cas-dependent and -independent technologies have been applied for LSD to mediate synthetic evolution in diverse species, including plants. SDE holds excellent promise to discover, accelerate and expand the range of traits of the value in crop species. Here, we highlight the efficient SDE approaches for the LSD of plant genes, selection strategies and critical traits for targeted improvement. We discuss the potential of emerging technologies, including CRISPR–Cas base editing, retron editing, EvolvR and prime editing, to establish efficient SDE in plants. Moreover, we cover CRISPR–Cas-independent technologies, including T7 polymerase editor for continuous evolution. We highlight the key challenges and potential solutions of applying SDE technologies to improve the plant traits of the value. Oxford University Press 2021-09-02 /pmc/articles/PMC8434914/ /pubmed/34522785 http://dx.doi.org/10.1093/synbio/ysab025 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Perspectives Rao, Gundra Sivakrishna Jiang, Wenjun Mahfouz, Magdy Synthetic directed evolution in plants: unlocking trait engineering and improvement |
title | Synthetic directed evolution in plants: unlocking trait engineering and improvement |
title_full | Synthetic directed evolution in plants: unlocking trait engineering and improvement |
title_fullStr | Synthetic directed evolution in plants: unlocking trait engineering and improvement |
title_full_unstemmed | Synthetic directed evolution in plants: unlocking trait engineering and improvement |
title_short | Synthetic directed evolution in plants: unlocking trait engineering and improvement |
title_sort | synthetic directed evolution in plants: unlocking trait engineering and improvement |
topic | Perspectives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434914/ https://www.ncbi.nlm.nih.gov/pubmed/34522785 http://dx.doi.org/10.1093/synbio/ysab025 |
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