Literature DB >> 15032827

Development of a standard operating procedure (SOP) for the precise quantification of transgene expression levels in rice plants.

Victoria A. James1, Barbara Worland, John W. Snape, Philippe Vain.   

Abstract

Variation in transgene expression levels can result from uncontrolled differences in experimental protocols. It is important to quantify and eliminate this unwanted variation as much as possible in order to attain precision in transgenic studies. Large-scale transgenic studies could, by their design, generate additional variation. The influence of different plant growth, sampling and analysis strategies in generating spurious variation in transgene expression level quantification in rice plant populations was assessed. The use of multiple independent plant phenotypic analyses (enzymatic assays in this study) was identified as the major source of spurious variation (doubling or tripling the variation). The quantification of transgene expression levels was also found to be significantly influenced by plant age, the choice of leaf sampled and leaf size. All of these factors reduced the precision of molecular genetic studies and generated artefactual results in transgenic studies. Identification of the sources of extraneous variation allowed the development of a new standard operating procedure (SOP) for rice, designed to control spurious variation. SOP allowed the influence of differences in growth period and independent phenotypic analyses to be minimized. The coefficient of variation in transgene expression levels, between and within genetically identical rice plants, was reduced to approximately 10 to 15% using SOP. Adoption of quality assurance (QA) criteria such as SOP is key to improving the reproducibility of transgenic studies.

Entities:  

Year:  2004        PMID: 15032827     DOI: 10.1111/j.0031-9317.2004.0276.x

Source DB:  PubMed          Journal:  Physiol Plant        ISSN: 0031-9317            Impact factor:   4.500


  2 in total

1.  The effect of additional virulence genes on transformation efficiency, transgene integration and expression in rice plants using the pGreen/pSoup dual binary vector system.

Authors:  Philippe Vain; Alison Harvey; Barbara Worland; Shona Ross; John W Snape; David Lonsdale
Journal:  Transgenic Res       Date:  2004-12       Impact factor: 2.788

Review 2.  Unintended consequences of plant transformation: a molecular insight.

Authors:  Marcin Filipecki; Stefan Malepszy
Journal:  J Appl Genet       Date:  2006       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.