Literature DB >> 16452069

Assessment of Populus wood chemistry following the introduction of a Bt toxin gene.

Mark F Davis1, Gerald A Tuskan, Peggy Payne, Timothy J Tschaplinski, Richard Meilan.   

Abstract

Unintended changes in plant physiology, anatomy and metabolism as a result of genetic engineering are a concern as more transgenic plants are commercially deployed in the ecosystem. We compared the cell wall chemical composition of three Populus lines (Populus trichocarpa Torr. & A. Gray x Populus trichocarpa Bartr. ex Marsh., Populus trichocarpa x Populus nigra L. and Populus deltoides x Populus nigra) genetically modified to express the Cry3A or Cry3B2 protein of Bacillus thuringiensis (Bt) with the cell wall chemistry of non-transformed isogenic control lines. Three genetically modified clones, each represented by 10 independent transgenic lines, were analyzed by pyrolysis molecular beam mass spectrometry, gas chromatography/mass spectrometry and traditional wet chemical analytical methods to assess changes in cell wall composition. Based on the outcome of these techniques, there were no comprehensive differences in chemical composition between the transgenic and control lines for any of the studied clones.

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Year:  2006        PMID: 16452069     DOI: 10.1093/treephys/26.5.557

Source DB:  PubMed          Journal:  Tree Physiol        ISSN: 0829-318X            Impact factor:   4.196


  3 in total

1.  Differential detection of genetic Loci underlying stem and root lignin content in Populus.

Authors:  Tongming Yin; Xinye Zhang; Lee Gunter; Ranjan Priya; Robert Sykes; Mark Davis; Stan D Wullschleger; Gerald A Tuskan
Journal:  PLoS One       Date:  2010-11-22       Impact factor: 3.240

2.  FTIR-ATR-based prediction and modelling of lignin and energy contents reveals independent intra-specific variation of these traits in bioenergy poplars.

Authors:  Guanwu Zhou; Gail Taylor; Andrea Polle
Journal:  Plant Methods       Date:  2011-04-10       Impact factor: 4.993

Review 3.  NIR and Py-mbms coupled with multivariate data analysis as a high-throughput biomass characterization technique: a review.

Authors:  Li Xiao; Hui Wei; Michael E Himmel; Hasan Jameel; Stephen S Kelley
Journal:  Front Plant Sci       Date:  2014-08-07       Impact factor: 5.753

  3 in total

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