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Integrating Large-Scale Data and RNA Technology to Protect Crops from Fungal Pathogens

With a rapidly growing human population it is expected that plant science researchers and the agricultural community will need to increase food productivity using less arable land. This challenge is complicated by fungal pathogens and diseases, many of which can severely impact crop yield. Current m...

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Autores principales: Girard, Ian J., Mcloughlin, Austein G., de Kievit, Teresa R., Fernando, Dilantha W. G., Belmonte, Mark F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4885860/
https://www.ncbi.nlm.nih.gov/pubmed/27303409
http://dx.doi.org/10.3389/fpls.2016.00631
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author Girard, Ian J.
Mcloughlin, Austein G.
de Kievit, Teresa R.
Fernando, Dilantha W. G.
Belmonte, Mark F.
author_facet Girard, Ian J.
Mcloughlin, Austein G.
de Kievit, Teresa R.
Fernando, Dilantha W. G.
Belmonte, Mark F.
author_sort Girard, Ian J.
collection PubMed
description With a rapidly growing human population it is expected that plant science researchers and the agricultural community will need to increase food productivity using less arable land. This challenge is complicated by fungal pathogens and diseases, many of which can severely impact crop yield. Current measures to control fungal pathogens are either ineffective or have adverse effects on the agricultural enterprise. Thus, developing new strategies through research innovation to protect plants from pathogenic fungi is necessary to overcome these hurdles. RNA sequencing technologies are increasing our understanding of the underlying genes and gene regulatory networks mediating disease outcomes. The application of invigorating next generation sequencing strategies to study plant–pathogen interactions has and will provide unprecedented insight into the complex patterns of gene activity responsible for crop protection. However, questions remain about how biological processes in both the pathogen and the host are specified in space directly at the site of infection and over the infection period. The integration of cutting edge molecular and computational tools will provide plant scientists with the arsenal required to identify genes and molecules that play a role in plant protection. Large scale RNA sequence data can then be used to protect plants by targeting genes essential for pathogen viability in the production of stably transformed lines expressing RNA interference molecules, or through foliar applications of double stranded RNA.
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spelling pubmed-48858602016-06-14 Integrating Large-Scale Data and RNA Technology to Protect Crops from Fungal Pathogens Girard, Ian J. Mcloughlin, Austein G. de Kievit, Teresa R. Fernando, Dilantha W. G. Belmonte, Mark F. Front Plant Sci Plant Science With a rapidly growing human population it is expected that plant science researchers and the agricultural community will need to increase food productivity using less arable land. This challenge is complicated by fungal pathogens and diseases, many of which can severely impact crop yield. Current measures to control fungal pathogens are either ineffective or have adverse effects on the agricultural enterprise. Thus, developing new strategies through research innovation to protect plants from pathogenic fungi is necessary to overcome these hurdles. RNA sequencing technologies are increasing our understanding of the underlying genes and gene regulatory networks mediating disease outcomes. The application of invigorating next generation sequencing strategies to study plant–pathogen interactions has and will provide unprecedented insight into the complex patterns of gene activity responsible for crop protection. However, questions remain about how biological processes in both the pathogen and the host are specified in space directly at the site of infection and over the infection period. The integration of cutting edge molecular and computational tools will provide plant scientists with the arsenal required to identify genes and molecules that play a role in plant protection. Large scale RNA sequence data can then be used to protect plants by targeting genes essential for pathogen viability in the production of stably transformed lines expressing RNA interference molecules, or through foliar applications of double stranded RNA. Frontiers Media S.A. 2016-05-31 /pmc/articles/PMC4885860/ /pubmed/27303409 http://dx.doi.org/10.3389/fpls.2016.00631 Text en Copyright © 2016 Girard, Mcloughlin, de Kievit, Fernando and Belmonte. http://creativecommons.org/licenses/by/4.0/ 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) or licensor 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.
spellingShingle Plant Science
Girard, Ian J.
Mcloughlin, Austein G.
de Kievit, Teresa R.
Fernando, Dilantha W. G.
Belmonte, Mark F.
Integrating Large-Scale Data and RNA Technology to Protect Crops from Fungal Pathogens
title Integrating Large-Scale Data and RNA Technology to Protect Crops from Fungal Pathogens
title_full Integrating Large-Scale Data and RNA Technology to Protect Crops from Fungal Pathogens
title_fullStr Integrating Large-Scale Data and RNA Technology to Protect Crops from Fungal Pathogens
title_full_unstemmed Integrating Large-Scale Data and RNA Technology to Protect Crops from Fungal Pathogens
title_short Integrating Large-Scale Data and RNA Technology to Protect Crops from Fungal Pathogens
title_sort integrating large-scale data and rna technology to protect crops from fungal pathogens
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4885860/
https://www.ncbi.nlm.nih.gov/pubmed/27303409
http://dx.doi.org/10.3389/fpls.2016.00631
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