2010
DOI: 10.4161/gmcr.1.4.13225
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Genetic engineering for increasing fungal and bacterial disease resistance in crop plants

Abstract: We review the current and future potential of genetic engineering strategies used to make fungal and bacterial pathogen-resistant GM crops, illustrating different examples of the technologies and the potential benefits and short-falls of the strategies. There are well- established procedures for the production of transgenic plants with resistance towards these pathogens and considerable progress has been made using a range of new methodologies. There are no current commercially available transgenic plant speci… Show more

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Cited by 85 publications
(70 citation statements)
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“…Genetic engineering of disease resistance by transfer of plant defense-related genes into crops is valuable in terms of cost, efficacy, and reduction of pesticide usage (Lin et al 2004;Wally and Punja 2010;Ceasar and Ignacimuthu 2012). In this study, we explored the possibility of the use of a glucanase gene from alfalfa against two important fungal pathogens of eggplant, viz.…”
Section: Discussionmentioning
confidence: 99%
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“…Genetic engineering of disease resistance by transfer of plant defense-related genes into crops is valuable in terms of cost, efficacy, and reduction of pesticide usage (Lin et al 2004;Wally and Punja 2010;Ceasar and Ignacimuthu 2012). In this study, we explored the possibility of the use of a glucanase gene from alfalfa against two important fungal pathogens of eggplant, viz.…”
Section: Discussionmentioning
confidence: 99%
“…Most of the cultivated varieties are highly susceptible to diseases caused by various pathogens (fungal, bacterial, and viral pathogens) as well as other stresses, and such stresses result in significant loss of crop yield and quality (Collonnier et al 2001;Kashyap et al 2003;Wally and Punja 2010;Ceasar and Ignacimuthu 2012). Eggplant wilt caused by a number of fungal genera such as Fusarium, Verticillium, Rhizoctonia, Sclerotium, and Phytophthora cause considerable loss in crop yield annually (Najar et al 2011).…”
Section: Introductionmentioning
confidence: 99%
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