Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems

Attempting to achieve long-lasting and stable resistance using uniformly deployed rice varieties is not a sustainable approach. The real situation appears to be much more complex and dynamic, one in which pathogens quickly adapt to resistant varieties. To prevent disease epidemics, deployment should...

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Main Authors: Sylvestre Gerbert eDossa, Adam eSparks, Casiana eVera Cruz, Ricardo eOliva
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-05-01
Series:Frontiers in Plant Science
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00305/full
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spelling doaj-fe5e29166ea6454390f5aa9dc8c66e192020-11-24T20:49:04ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2015-05-01610.3389/fpls.2015.00305139700Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystemsSylvestre Gerbert eDossa0Sylvestre Gerbert eDossa1Adam eSparks2Casiana eVera Cruz3Ricardo eOliva4International Rice Research InstituteLeibniz Universität HannoverInternational Rice Research instituteInternational Rice Research InstituteInternational Rice Research InstituteAttempting to achieve long-lasting and stable resistance using uniformly deployed rice varieties is not a sustainable approach. The real situation appears to be much more complex and dynamic, one in which pathogens quickly adapt to resistant varieties. To prevent disease epidemics, deployment should be customized and this decision will require interdisciplinary actions. This perspective article aims to highlight the current progress on disease resistance deployment to control bacterial blight in rice. Although the model system rice−Xanthomonas oryzae pv. oryzae has distinctive features that underpin the need for a case-by-case analysis, strategies to integrate those elements into a unique decision tool could be easily extended to other crops.http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00305/fullGenome editingTAL effectorsR-genescustomized deploymentforward breeding
collection DOAJ
language English
format Article
sources DOAJ
author Sylvestre Gerbert eDossa
Sylvestre Gerbert eDossa
Adam eSparks
Casiana eVera Cruz
Ricardo eOliva
spellingShingle Sylvestre Gerbert eDossa
Sylvestre Gerbert eDossa
Adam eSparks
Casiana eVera Cruz
Ricardo eOliva
Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
Frontiers in Plant Science
Genome editing
TAL effectors
R-genes
customized deployment
forward breeding
author_facet Sylvestre Gerbert eDossa
Sylvestre Gerbert eDossa
Adam eSparks
Casiana eVera Cruz
Ricardo eOliva
author_sort Sylvestre Gerbert eDossa
title Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title_short Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title_full Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title_fullStr Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title_full_unstemmed Decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
title_sort decision tools for bacterial blight resistance gene deployment in rice-based agricultural ecosystems
publisher Frontiers Media S.A.
series Frontiers in Plant Science
issn 1664-462X
publishDate 2015-05-01
description Attempting to achieve long-lasting and stable resistance using uniformly deployed rice varieties is not a sustainable approach. The real situation appears to be much more complex and dynamic, one in which pathogens quickly adapt to resistant varieties. To prevent disease epidemics, deployment should be customized and this decision will require interdisciplinary actions. This perspective article aims to highlight the current progress on disease resistance deployment to control bacterial blight in rice. Although the model system rice−Xanthomonas oryzae pv. oryzae has distinctive features that underpin the need for a case-by-case analysis, strategies to integrate those elements into a unique decision tool could be easily extended to other crops.
topic Genome editing
TAL effectors
R-genes
customized deployment
forward breeding
url http://journal.frontiersin.org/Journal/10.3389/fpls.2015.00305/full
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