International Journal of Nutrition and Food Sciences

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An Optimized Method for Profiling Glucosinolate Content in Brassica Enabling Plant Line Selection and Quantitative Trait Locus Mapping

Received: 11 December 2012    Accepted:     Published: 10 January 2013
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Abstract

A reproducible and robust enzymatic desulfation reaction utilizing Sulfatase enzyme from Helix pomatia type H1, was developed and used in conjunction with an optimized HPLC-UV/ESI-MS/MS method developed in this study, for complete separation and identification of desulfated glucosinolates, extracted from 89 AGDH mapping population derived from a cross between rapid cycling Brassica oleracea lines; A12DH and GD33DH with high resolution for quantification measurements were used. In addition, we have demonstrated the first use of two internal standards during the preparation of the plant material for analysis, which significantly improved the reproducibility of the quantitative measurements. The quantitative data were then used for the identification of significant Quantitative Trait Loci (QTL) for individual glucosi-nolates and for key points in their biosynthesis, revealed for the presence of major gene effect near the top of B. oleracea linkage group 9 (LG9), associated with aliphatic glucosinolate synthesis. Moreover, a number of novel QTLs were also identified, which control the synthesis of glucosinolates.

DOI 10.11648/j.ijnfs.20130201.13
Published in International Journal of Nutrition and Food Sciences (Volume 2, Issue 1, January 2013)
Page(s) 10-16
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Brassicaceae; HPLC-UV/ESI-MS/MS; QTL; Glucosinolates; Sulfatase

References
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Author Information
  • Department of Chemistry, University of Warwick, Coventry, CV4 7AL, UK

  • School of life sciences, University of Warwick, Coventry, CV4 7AL, UK

  • Department of Chemistry, University of Warwick, Coventry, CV4 7AL, UK

  • School of life sciences, University of Warwick, Coventry, CV4 7AL, UK

  • Department of Chemistry, University of Warwick, Coventry, CV4 7AL, UK

Cite This Article
  • APA Style

    Reem Issa, Guy Barker, Andrew Marsh, Susan E. Slade, Paul Taylor. (2013). An Optimized Method for Profiling Glucosinolate Content in Brassica Enabling Plant Line Selection and Quantitative Trait Locus Mapping. International Journal of Nutrition and Food Sciences, 2(1), 10-16. https://doi.org/10.11648/j.ijnfs.20130201.13

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    ACS Style

    Reem Issa; Guy Barker; Andrew Marsh; Susan E. Slade; Paul Taylor. An Optimized Method for Profiling Glucosinolate Content in Brassica Enabling Plant Line Selection and Quantitative Trait Locus Mapping. Int. J. Nutr. Food Sci. 2013, 2(1), 10-16. doi: 10.11648/j.ijnfs.20130201.13

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    AMA Style

    Reem Issa, Guy Barker, Andrew Marsh, Susan E. Slade, Paul Taylor. An Optimized Method for Profiling Glucosinolate Content in Brassica Enabling Plant Line Selection and Quantitative Trait Locus Mapping. Int J Nutr Food Sci. 2013;2(1):10-16. doi: 10.11648/j.ijnfs.20130201.13

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  • @article{10.11648/j.ijnfs.20130201.13,
      author = {Reem Issa and Guy Barker and Andrew Marsh and Susan E. Slade and Paul Taylor},
      title = {An Optimized Method for Profiling Glucosinolate Content in Brassica Enabling Plant Line Selection and Quantitative Trait Locus Mapping},
      journal = {International Journal of Nutrition and Food Sciences},
      volume = {2},
      number = {1},
      pages = {10-16},
      doi = {10.11648/j.ijnfs.20130201.13},
      url = {https://doi.org/10.11648/j.ijnfs.20130201.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijnfs.20130201.13},
      abstract = {A reproducible and robust enzymatic desulfation reaction utilizing Sulfatase enzyme from Helix pomatia type H1, was developed and used in conjunction with an optimized HPLC-UV/ESI-MS/MS method developed in this study, for complete separation and identification of desulfated glucosinolates, extracted from 89 AGDH mapping population derived from a cross between rapid cycling Brassica oleracea lines; A12DH and GD33DH with high resolution for quantification measurements were used. In addition, we have demonstrated the first use of two internal standards during the preparation of the plant material for analysis, which significantly improved the reproducibility of the quantitative measurements. The quantitative data were then used for the identification of significant Quantitative Trait Loci (QTL) for individual glucosi-nolates and for key points in their biosynthesis, revealed for the presence of major gene effect near the top of B. oleracea linkage group 9 (LG9), associated with aliphatic glucosinolate synthesis. Moreover, a number of novel QTLs were also identified, which control the synthesis of glucosinolates.},
     year = {2013}
    }
    

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  • TY  - JOUR
    T1  - An Optimized Method for Profiling Glucosinolate Content in Brassica Enabling Plant Line Selection and Quantitative Trait Locus Mapping
    AU  - Reem Issa
    AU  - Guy Barker
    AU  - Andrew Marsh
    AU  - Susan E. Slade
    AU  - Paul Taylor
    Y1  - 2013/01/10
    PY  - 2013
    N1  - https://doi.org/10.11648/j.ijnfs.20130201.13
    DO  - 10.11648/j.ijnfs.20130201.13
    T2  - International Journal of Nutrition and Food Sciences
    JF  - International Journal of Nutrition and Food Sciences
    JO  - International Journal of Nutrition and Food Sciences
    SP  - 10
    EP  - 16
    PB  - Science Publishing Group
    SN  - 2327-2716
    UR  - https://doi.org/10.11648/j.ijnfs.20130201.13
    AB  - A reproducible and robust enzymatic desulfation reaction utilizing Sulfatase enzyme from Helix pomatia type H1, was developed and used in conjunction with an optimized HPLC-UV/ESI-MS/MS method developed in this study, for complete separation and identification of desulfated glucosinolates, extracted from 89 AGDH mapping population derived from a cross between rapid cycling Brassica oleracea lines; A12DH and GD33DH with high resolution for quantification measurements were used. In addition, we have demonstrated the first use of two internal standards during the preparation of the plant material for analysis, which significantly improved the reproducibility of the quantitative measurements. The quantitative data were then used for the identification of significant Quantitative Trait Loci (QTL) for individual glucosi-nolates and for key points in their biosynthesis, revealed for the presence of major gene effect near the top of B. oleracea linkage group 9 (LG9), associated with aliphatic glucosinolate synthesis. Moreover, a number of novel QTLs were also identified, which control the synthesis of glucosinolates.
    VL  - 2
    IS  - 1
    ER  - 

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