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Genomics for Weed Science
Numerous genomic-based studies have provided insight to the physiological and evolutionary processes involved in developmental and environmental processes of model plants such as arabidopsis and rice. However, far fewer efforts have been attempted to use genomic resources to study physiological and...
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Formato: | Texto |
Lenguaje: | English |
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Bentham Science Publishers Ltd.
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851116/ https://www.ncbi.nlm.nih.gov/pubmed/20808523 http://dx.doi.org/10.2174/138920210790217972 |
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author | Horvath, David |
author_facet | Horvath, David |
author_sort | Horvath, David |
collection | PubMed |
description | Numerous genomic-based studies have provided insight to the physiological and evolutionary processes involved in developmental and environmental processes of model plants such as arabidopsis and rice. However, far fewer efforts have been attempted to use genomic resources to study physiological and evolutionary processes of weedy plants. Genomics-based tools such as extensive EST databases and microarrays have been developed for a limited number of weedy species, although application of information and resources developed for model plants and crops are possible and have been exploited. These tools have just begun to provide insights into the response of these weeds to herbivore and pathogen attack, survival of extreme environmental conditions, and interaction with crops. The potential of these tools to illuminate mechanisms controlling the traits that allow weeds to invade novel habitats, survive extreme environments, and that make weeds difficult to eradicate have potential for both improving crops and developing novel methods to control weeds. |
format | Text |
id | pubmed-2851116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Bentham Science Publishers Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-28511162010-09-01 Genomics for Weed Science Horvath, David Curr Genomics Article Numerous genomic-based studies have provided insight to the physiological and evolutionary processes involved in developmental and environmental processes of model plants such as arabidopsis and rice. However, far fewer efforts have been attempted to use genomic resources to study physiological and evolutionary processes of weedy plants. Genomics-based tools such as extensive EST databases and microarrays have been developed for a limited number of weedy species, although application of information and resources developed for model plants and crops are possible and have been exploited. These tools have just begun to provide insights into the response of these weeds to herbivore and pathogen attack, survival of extreme environmental conditions, and interaction with crops. The potential of these tools to illuminate mechanisms controlling the traits that allow weeds to invade novel habitats, survive extreme environments, and that make weeds difficult to eradicate have potential for both improving crops and developing novel methods to control weeds. Bentham Science Publishers Ltd. 2010-03 /pmc/articles/PMC2851116/ /pubmed/20808523 http://dx.doi.org/10.2174/138920210790217972 Text en ©2010 Bentham Science Publishers Ltd. http://creativecommons.org/licenses/by/2.5/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.5/), which permits unrestrictive use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Horvath, David Genomics for Weed Science |
title | Genomics for Weed Science |
title_full | Genomics for Weed Science |
title_fullStr | Genomics for Weed Science |
title_full_unstemmed | Genomics for Weed Science |
title_short | Genomics for Weed Science |
title_sort | genomics for weed science |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2851116/ https://www.ncbi.nlm.nih.gov/pubmed/20808523 http://dx.doi.org/10.2174/138920210790217972 |
work_keys_str_mv | AT horvathdavid genomicsforweedscience |