Comparative proteomic analysis of hybrid maize MR2008 and its parental lines

Maize is one of the three staple foods in the world. The white variety represents 60% of the maize importation with a world consumption of 1125 million tons in 2019/2020. Currently, new technologies could contribute to the analysis of this seed, supporting quality control and improvement. This study...

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Bibliographic Details
Published inThe Journal of agricultural science Vol. 159; no. 7-8; pp. 570 - 579
Main Authors Osawa-Martínez, E. E., Minjarez, B., Rodríguez-Yáñez, Y., Reza-Zaldivar, E. E., Canales-Aguirre, A. A., Mena-Munguía, S.
Format Journal Article
LanguageEnglish
Published Cambridge, UK Cambridge University Press 01.09.2021
Subjects
Agricultural practices
Agricultural production
Anthocyanidin 3-O-glucosyltransferase
Bioinformatics
Chromatography
Corn
Crops and Soils Research Paper
Ethanol
Food
Genomics
Glucosyltransferase
Importation
Mass spectrometry
Mass spectroscopy
Metabolic pathways
Morphology
New technology
Nutrition research
Proteins
Proteomes
Proteomics
Quality control
Quantitative genetics
Scientific imaging
Seeds
Variables
United States > US
Mexico
Latin America
heterosis
proteomics
Bioinformatics
maize
kernel
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Summary:Maize is one of the three staple foods in the world. The white variety represents 60% of the maize importation with a world consumption of 1125 million tons in 2019/2020. Currently, new technologies could contribute to the analysis of this seed, supporting quality control and improvement. This study aims to carry out the morphological and proteomic comparison between the hybrid MR2008 and its parental lines LUG03 and CML491 through mass spectrometry and bioinformatics analysis. Herein, we identified that 34.8% of the hybrid proteome differs from the parental proteome. Also, ontological and morphological analyses determined that the hybrid exhibits more characteristics related to CML491 than LUG03, for example, metabolic pathways and enzymes, such as anthocyanidin 3-O-glucosyltransferase (UniProt P16166). This analysis allowed the identification of dominant characters, metabolic pathways and confirms the utility of this methodology in agricultural practices, mainly in processes of selection and quality control of a crop.
ISSN:0021-8596
1469-5146
DOI:10.1017/S0021859621000812