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.
| Published in | International Journal of Nutrition and Food Sciences (Volume 2, Issue 1) |
| DOI | 10.11648/j.ijnfs.20130201.13 |
| 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), 2013. Published by Science Publishing Group |
Brassicaceae; HPLC-UV/ESI-MS/MS; QTL; Glucosinolates; Sulfatase
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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
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
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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Download@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://article.sciencepublishinggroup.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}
}
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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