Huang, S; Adams, WR; Zhou, Q; Malloy, KP; Voyles, DA; Anthony, J; Kriz, AL; Luethy, MH
Journal of Agricultural and Food Chemistry. 2004 March. 52(7):1958–1964
Link to full text (journal may charge for access)
PMID: 15053536 DOI: 10.1021/jf0342223 ISSN: 0021-8561
The predominant proteins in maize grain are a family of alcohol-soluble prolamin storage proteins called zeins. They account for >50% of total seed proteins but are deficient in several essential amino acids. As a result, the corn grain is considered to be nutritionally poor for monogastric animals with respect to key essential amino acids, most notably lysine, tryptophan, and methionine. Thus, corn mutants with reduced levels of zeins, such as opaque-2 (o2), have been demonstrated to possess grain with improved nutritional quality characteristics. The o2 mutant has a superior amino acid composition and has been used through conventional breeding to develop Quality Protein Maize (QPM) for human and animal consumption in developing countries. With the understanding of molecular genetics of zeins and progress in biotechnology, an alternative approach to zein reduction is explored here. Through the targeted reduction of the 19-kDa alpha-zeins, increased levels of lysine, tryptophan, and methionine have been engineered in grain of transgenic hybrids. Currently, the agronomic properties and nutritional values of these transgenic lines are being evaluated.
Huang, S, WR Adams, Q Zhou, KP Malloy, DA Voyles, J Anthony, AL Kriz, MH Luethy. "Improving nutritional quality of maize proteins by expressing sense and antisense zein genes." Journal of Agricultural and Food Chemistry 52.7 (2004): 1958–1964. Web. 13 Apr. 2021.
Huang, S., Adams, WR., Zhou, Q., Malloy, KP., Voyles, DA., Anthony, J., Kriz, AL., & Luethy, MH. (2004). Improving nutritional quality of maize proteins by expressing sense and antisense zein genes. Journal of Agricultural and Food Chemistry, 52(7), 1958–1964. doi:10.1021/jf0342223
Please verify citations before use, citations are automatically generated based on information stored within the GENERA database and therefore may or may not be correct.