Literature DB >> 22861122

RNA interference: a promising technique for the improvement of traditional crops.

Rajan Katoch1, Neelam Thakur.   

Abstract

RNA interference (RNAi) is a homology-dependent gene-silencing technology that involves double-stranded RNA directed against a target gene. This technique has emerged as powerful tool in understanding the functions of a number of genes in recent years. For the improvement in the nutritional status of the plants and reduction in the level of antinutrients, the conventional breeding methods were not completely successful in achieving the tissue-specific regulation of some genes. RNAi has shown successful results in a number of plant species for nutritional improvement, change in morphology and alteration in metabolite synthesis. This technology has been applied mostly in genetic engineering of important crop plants, and till date there are no reports of its application for the improvement of traditional/underutilized crops. In this study, we discuss current knowledge of RNAi function and concept and strategies for the improvement of traditional crops. Practical application. Although RNAi has been extensively used for the improvement of popular crops, no attention has been given for the use of this technology for the improvement of underutilized crops. This study describes the importance of use of this technology for the improvement of underutilized crops.

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Year:  2012        PMID: 22861122     DOI: 10.3109/09637486.2012.713918

Source DB:  PubMed          Journal:  Int J Food Sci Nutr        ISSN: 0963-7486            Impact factor:   3.833


  2 in total

Review 1.  Potato improvement through genetic engineering.

Authors:  María Del Mar Martínez-Prada; Shaun J Curtin; Juan J Gutiérrez-González
Journal:  GM Crops Food       Date:  2021-01-02       Impact factor: 3.118

2.  Nucleases as a barrier to gene silencing in the cotton boll weevil, Anthonomus grandis.

Authors:  Rayssa Almeida Garcia; Leonardo Lima Pepino Macedo; Danila Cabral do Nascimento; François-Xavier Gillet; Clidia Eduarda Moreira-Pinto; Muhammad Faheem; Angelina Maria Moreschi Basso; Maria Cristina Mattar Silva; Maria Fatima Grossi-de-Sa
Journal:  PLoS One       Date:  2017-12-20       Impact factor: 3.240

  2 in total

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