Analysis of metabolites and metabolic pathways in three maize (Zea mays L.) varieties from the same origin using GC–MS

Abstract

Metabolites of the Jinyu 88, Huanong 18, and Demeiya 9 maize varieties from the same origin were isolated and identified by GC–MS, and the specific metabolites and metabolic mechanisms of these three varieties of maize were preliminarily analysed and discussed. The metabolites were extracted with 80% methanol and derived with N,O-bis(trimethylsilyl)trifluoroacetamide. A total of 59 metabolites were identified. The specific metabolites of these three varieties of maize were identified. Four possible unknown-structure metabolites were hypothesized. The results showed that the specific metabolites of JY88 were only involved in fatty acid metabolism. The specific metabolites of HN18 were determined to be involved in fatty acid metabolism, glucose metabolism, and phytosterol metabolism. The specific metabolites of DM9 were observed to participate in glucose metabolism and fatty acid metabolism. The disease resistance of HN18 was higher than that of DM9, and its grain bulk density was higher than that of DM9. JY88 was determined to be significantly different from the other two varieties, and its appearance and disease resistance were worse than those of the other two varieties. The variety with the highest nutritional value was determined to be HN18, and the variety with the lowest nutritional value was JY88. This finding indicated that different maize varieties from the same origin had different metabolites and different metabolic mechanisms, which caused the three maize varieties to exhibit different characteristics and qualities.

Sequential extraction, structural characterization, and antioxidant activity of polysaccharides from Dendrocalamus brandisii bamboo shoot shell

“…Xylose is a crucial part of the hemicellulose and does not exist in its free form. Agricultural waste products are considered one of the major sources of xylose ( Zhang, Yu, & Yu, 2020 ). From the aforementioned, it was found that except for W, all four polysaccharides contained significant amounts of xylose.…”

Characterization of 35 Masson pine (Pinus massoniana) half-sib families from two provinces based on metabolite properties

“…Plants synthesize hundreds of thousands of metabolites, and different species and genera produce different types of primary and secondary metabolites (Allwood et al, 2008). Both primary and secondary metabolites play important roles in plant stress resistance (Zaynab et al, 2018;Zhang et al, 2020). In this study, only the Frontiers in Ecology Evolution 08 frontiersin.org methanol-water phase was derivatized and analyzed by GC-MS, as a result mainly primary metabolites were identified in this study.…”

“…The chemicals used were qualitative and quantitative with ions, the information obtained was organized, and the specific metabolites of the different Masson pine families were characterized. The metabolites were classified using standard methods, and referencing the associated literature (Zhang et al, 2020). The statistical analyses were performed using the R (version 4.0.0) software (Kanehisa and Goto, 2000;Chong and Xia, 2018).…”

“…Although masson pine displays its own stable metabolite profile; few studies have focused on profiling the metabolites among the families from different provinces. In recent years, plant metabonomics has been used to study the yield and quality traits of crop varieties (Zhang et al, 2020;Chen et al, 2022;Yang et al, 2022). The purpose of this study is to develop effective technology and methods to identify resources of Masson pine families from different provinces, analyze the differential metabolites of Masson pine families from different provinces, and obtain basic data for the conservation of Masson pine families.…”

Maize metabolomics in relation to cropping system and growing year

“…Environmental cues are naturally occurring-temperature, light intensity, precipitation, and various stressors-or result from agricultural management practices-such as soil organic matter and nutrient levels (Zhu et al, 2007;Hirschi, 2009;Fatima et al, 2016;Vasconcelos et al, 2017;Roberts and Mattoo, 2019). Several studies have demonstrated the influence of genetics (crop varieties) and naturally occurring cues (year, drought, geographic location) on the biochemical composition of maize grain and other maize tissues (Reynolds et al, 2005;Röhlig et al, 2009;Anttonen et al, 2010;Röhlig and Engel, 2010;Frank et al, 2012;Baniasadi et al, 2014;Chen et al, 2016;Venkatesh et al, 2016;Zhang L. et al, 2020;Gaffney et al, 2021;Zhang et al, 2021). But there has been less work on maize grain biochemical composition and environmental cues resulting from agricultural management practices in replicated experiments.…”