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Omics Potential in Herbicide-Resistant Weed Management

The rapid development of omics technologies has drastically altered the way biologists conduct research. Basic plant biology and genomics have incorporated these technologies, while some challenges remain for use in applied biology. Weed science, on the whole, is still learning how to integrate omic...

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Autores principales: Patterson, Eric L., Saski, Christopher, Küpper, Anita, Beffa, Roland, Gaines, Todd A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6963460/
https://www.ncbi.nlm.nih.gov/pubmed/31847327
http://dx.doi.org/10.3390/plants8120607
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author Patterson, Eric L.
Saski, Christopher
Küpper, Anita
Beffa, Roland
Gaines, Todd A.
author_facet Patterson, Eric L.
Saski, Christopher
Küpper, Anita
Beffa, Roland
Gaines, Todd A.
author_sort Patterson, Eric L.
collection PubMed
description The rapid development of omics technologies has drastically altered the way biologists conduct research. Basic plant biology and genomics have incorporated these technologies, while some challenges remain for use in applied biology. Weed science, on the whole, is still learning how to integrate omics technologies into the discipline; however, omics techniques are more frequently being implemented in new and creative ways to address basic questions in weed biology as well as the more practical questions of improving weed management. This has been especially true in the subdiscipline of herbicide resistance where important questions are the evolution and genetic basis of herbicide resistance. This review examines the advantages, challenges, potential solutions, and outlook for omics technologies in the discipline of weed science, with examples of how omics technologies will impact herbicide resistance studies and ultimately improve management of herbicide-resistant populations.
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spelling pubmed-69634602020-01-30 Omics Potential in Herbicide-Resistant Weed Management Patterson, Eric L. Saski, Christopher Küpper, Anita Beffa, Roland Gaines, Todd A. Plants (Basel) Review The rapid development of omics technologies has drastically altered the way biologists conduct research. Basic plant biology and genomics have incorporated these technologies, while some challenges remain for use in applied biology. Weed science, on the whole, is still learning how to integrate omics technologies into the discipline; however, omics techniques are more frequently being implemented in new and creative ways to address basic questions in weed biology as well as the more practical questions of improving weed management. This has been especially true in the subdiscipline of herbicide resistance where important questions are the evolution and genetic basis of herbicide resistance. This review examines the advantages, challenges, potential solutions, and outlook for omics technologies in the discipline of weed science, with examples of how omics technologies will impact herbicide resistance studies and ultimately improve management of herbicide-resistant populations. MDPI 2019-12-14 /pmc/articles/PMC6963460/ /pubmed/31847327 http://dx.doi.org/10.3390/plants8120607 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Patterson, Eric L.
Saski, Christopher
Küpper, Anita
Beffa, Roland
Gaines, Todd A.
Omics Potential in Herbicide-Resistant Weed Management
title Omics Potential in Herbicide-Resistant Weed Management
title_full Omics Potential in Herbicide-Resistant Weed Management
title_fullStr Omics Potential in Herbicide-Resistant Weed Management
title_full_unstemmed Omics Potential in Herbicide-Resistant Weed Management
title_short Omics Potential in Herbicide-Resistant Weed Management
title_sort omics potential in herbicide-resistant weed management
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6963460/
https://www.ncbi.nlm.nih.gov/pubmed/31847327
http://dx.doi.org/10.3390/plants8120607
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