Literature DB >> 24374853

The substantive equivalence of transgenic (Bt and Chi) and non-transgenic cotton based on metabolite profiles.

Bentol Hoda Modirroosta1, Masoud Tohidfar, Jalal Saba, Foad Moradi.   

Abstract

Compositional studies comparing transgenic with non-transgenic counterpart plants are almost universally required by governmental regulatory bodies. In the present study, two T(2) transgenic cotton lines containing chitinase (Line 11/57) and Bt lines (Line 61) were compared with non-transgenic counterpart. To do this, biochemical characteristics of leaves and seeds, including amino acids, fatty acids, carbohydrates, anions, and cations contents of the studied lines were analyzed using GC/MS, high-performance liquid chromatography (HPLC), and ion chromatography (IC) analyzers, respectively. polymerase chain reaction (PCR) and Western blot analyses confirmed the presence and expression of Chi and Bt genes in the studied transgenic lines. Although, compositional analysis of leaves contents confirmed no significant differences between transgenic and non-transgenic counterpart lines, but it was shown that glucose content of chitinase lines, fructose content of transgenic lines (Bt and chitinase) and asparagine and glutamine of chitinase lines were significantly higher than the non-transgenic counterpart plants. Both the transgenic lines (Bt and chitinase) showed significant decrease in the amounts of sodium in comparison to the non-transgenic counterpart plants. The experiments on the seeds showed that histidine, isoleucine, leucine, and phenylalanine contents of all transgenic and non-transgenic lines were the same, whereas other amino acids were significantly increased in the transgenic lines. Surprisingly, it was observed that the concentrations of stearic acid, myristic acid, oleic acid, and linoleic acid in the chitinase line were significantly different than those of non-transgenic counterpart plants, but these components were the same in both Bt line and its non-transgenic counterpart. It seems that more changes observed in the seed contents than leaves is via this point that seeds are known as metabolites storage organs, so they show greater changes in the metabolites contents comparing to the leaves.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24374853     DOI: 10.1007/s10142-013-0355-y

Source DB:  PubMed          Journal:  Funct Integr Genomics        ISSN: 1438-793X            Impact factor:   3.410


  9 in total

Review 1.  Amino acid production processes.

Authors:  Masato Ikeda
Journal:  Adv Biochem Eng Biotechnol       Date:  2003       Impact factor: 2.635

2.  Nutrient content of whole cottonseed.

Authors:  J A Bertrand; T Q Sudduth; A Condon; T C Jenkins; M C Calhoun
Journal:  J Dairy Sci       Date:  2005-04       Impact factor: 4.034

3.  Transgenesis has less impact on the transcriptome of wheat grain than conventional breeding.

Authors:  María Marcela Baudo; Rebecca Lyons; Stephen Powers; Gabriela M Pastori; Keith J Edwards; Michael J Holdsworth; Peter R Shewry
Journal:  Plant Biotechnol J       Date:  2006-07       Impact factor: 9.803

4.  Somaclonal variation - a novel source of variability from cell cultures for plant improvement.

Authors:  P J Larkin; W R Scowcroft
Journal:  Theor Appl Genet       Date:  1981-10       Impact factor: 5.699

5.  A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding.

Authors:  M M Bradford
Journal:  Anal Biochem       Date:  1976-05-07       Impact factor: 3.365

Review 6.  Molecular physiology of plant sulfur metabolism.

Authors:  R Hell
Journal:  Planta       Date:  1997       Impact factor: 4.116

Review 7.  Environmental risk assessments for transgenic crops producing output trait enzymes.

Authors:  Alan Raybould; Ann Tuttle; Scott Shore; Terry Stone
Journal:  Transgenic Res       Date:  2009-11-19       Impact factor: 2.788

Review 8.  Enzymes of arginine metabolism.

Authors:  Sidney M Morris
Journal:  J Nutr       Date:  2004-10       Impact factor: 4.798

9.  Assessing the potential for unintended effects in genetically modified potatoes perturbed in metabolic and developmental processes. Targeted analysis of key nutrients and anti-nutrients.

Authors:  Louise V T Shepherd; James W McNicol; Ruth Razzo; Mark A Taylor; Howard V Davies
Journal:  Transgenic Res       Date:  2006-08       Impact factor: 3.145

  9 in total
  2 in total

1.  Comparative proteomics of Bt-transgenic and non-transgenic cotton leaves.

Authors:  Limin Wang; Xuchu Wang; Xiang Jin; Ruizong Jia; Qixing Huang; Yanhua Tan; Anping Guo
Journal:  Proteome Sci       Date:  2015-05-02       Impact factor: 2.480

2.  Comparative Proteomics of Leaves from Phytase-Transgenic Maize and Its Non-transgenic Isogenic Variety.

Authors:  Yanhua Tan; Xiaoping Yi; Limin Wang; Cunzhi Peng; Yong Sun; Dan Wang; Jiaming Zhang; Anping Guo; Xuchu Wang
Journal:  Front Plant Sci       Date:  2016-08-17       Impact factor: 5.753

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.