Secondary product glucosyltransferase and putative glucosyltransferase expression during Citrus paradisi (c.v. Duncan) growth and development

Saved in:
Bibliographic Details
Title: Secondary product glucosyltransferase and putative glucosyltransferase expression during Citrus paradisi (c.v. Duncan) growth and development
Authors: Daniel, Jala J.1, Owens, Daniel K.1, McIntosh, Cecilia A. mcintosc@etsu.edu
Source: Phytochemistry. Oct2011, Vol. 72 Issue 14/15, p1732-1738. 7p.
Subjects: Glycosyltransferases, Gene expression, Grapefruit, Plant growth, Plant development, Flavonoids, Limonoids, Rutaceae, Metabolism
Abstract: Abstract: Flavonoids are secondary metabolites that have significant roles in plant defense and human nutrition. Glucosyltransferases (GTs) catalyze the transfer of sugars from high energy sugar donors to other substrates. Several different secondary product GTs exist in the tissues of grapefruit making it a model plant for studying their structure and function. The goal of this investigation was to determine the expression patterns of seven putative secondary product GTs during grapefruit growth and development by quantifying mRNA expression levels in the roots, stems, leaves, flowers, and mature fruit to establish whether the genes are expressed constitutively or if one or more could be expressed in a tissue specific manner and/or developmentally regulated. Six growth stages were defined from which RNA was extracted, and expression levels were quantified by standardized densitometry of gene-specific RT-PCR products. Results show that there were variable degrees of PGT expression in different tissues and at different developmental stages. These results add to the growing knowledge base of dynamics of expression and potential regulation of secondary metabolism in Citrus paradisi. [Copyright &y& Elsevier]
Copyright of Phytochemistry is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Be the first to leave a comment!
You must be logged in first