Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Horvath, David
Formato: Texto
Lenguaje:English
Publicado: Bentham Science Publishers Ltd. 2010
Materias:
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
_version_ 1782179854195621888
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