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Title: A robust gene-stacking method utilizing yeast assembly for plant synthetic biology

The advent and growth of synthetic biology has demonstrated its potential as a promising avenue of research to address many societal needs. But, plant synthetic biology efforts have been hampered by a dearth of DNA part libraries, versatile transformation vectors and efficient assembly strategies. We describe a versatile system (named jStack) utilizing yeast homologous recombination to efficiently assemble DNA into plant transformation vectors. We also demonstrate how this method can facilitate pathway engineering of molecules of pharmaceutical interest, production of potential biofuels and shuffling of disease-resistance traits between crop species. Our approach provides a powerful alternative to conventional strategies for stacking genes and traits to address many impending environmental and agricultural challenges.
Authors:
 [1] ;  [1] ;  [1] ;  [1] ;  [2] ;  [2] ;  [3] ;  [4]
  1. Joint BioEnergy Inst. (JBEI), Emeryville, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
  3. Joint BioEnergy Inst. (JBEI), Emeryville, CA (United States); USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
  4. Joint BioEnergy Inst. (JBEI), Emeryville, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. Claude Bernard and CNRS, Lyon (France)
Publication Date:
Grant/Contract Number:
AC02-05CH11231
Type:
Accepted Manuscript
Journal Name:
Nature Communications
Additional Journal Information:
Journal Volume: 7; Journal ID: ISSN 2041-1723
Publisher:
Nature Publishing Group
Research Org:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; 60 APPLIED LIFE SCIENCES
OSTI Identifier:
1377550

Shih, Patrick M., Vuu, Khanh, Mansoori, Nasim, Ayad, Leïla, Louie, Katherine B., Bowen, Benjamin P., Northen, Trent R., and Loqué, Dominique. A robust gene-stacking method utilizing yeast assembly for plant synthetic biology. United States: N. p., Web. doi:10.1038/ncomms13215.
Shih, Patrick M., Vuu, Khanh, Mansoori, Nasim, Ayad, Leïla, Louie, Katherine B., Bowen, Benjamin P., Northen, Trent R., & Loqué, Dominique. A robust gene-stacking method utilizing yeast assembly for plant synthetic biology. United States. doi:10.1038/ncomms13215.
Shih, Patrick M., Vuu, Khanh, Mansoori, Nasim, Ayad, Leïla, Louie, Katherine B., Bowen, Benjamin P., Northen, Trent R., and Loqué, Dominique. 2016. "A robust gene-stacking method utilizing yeast assembly for plant synthetic biology". United States. doi:10.1038/ncomms13215. https://www.osti.gov/servlets/purl/1377550.
@article{osti_1377550,
title = {A robust gene-stacking method utilizing yeast assembly for plant synthetic biology},
author = {Shih, Patrick M. and Vuu, Khanh and Mansoori, Nasim and Ayad, Leïla and Louie, Katherine B. and Bowen, Benjamin P. and Northen, Trent R. and Loqué, Dominique},
abstractNote = {The advent and growth of synthetic biology has demonstrated its potential as a promising avenue of research to address many societal needs. But, plant synthetic biology efforts have been hampered by a dearth of DNA part libraries, versatile transformation vectors and efficient assembly strategies. We describe a versatile system (named jStack) utilizing yeast homologous recombination to efficiently assemble DNA into plant transformation vectors. We also demonstrate how this method can facilitate pathway engineering of molecules of pharmaceutical interest, production of potential biofuels and shuffling of disease-resistance traits between crop species. Our approach provides a powerful alternative to conventional strategies for stacking genes and traits to address many impending environmental and agricultural challenges.},
doi = {10.1038/ncomms13215},
journal = {Nature Communications},
number = ,
volume = 7,
place = {United States},
year = {2016},
month = {10}
}

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