Pecans are a globally important tree nut crop. Pecan nuts are rich in fatty acids (FAs), proteins, and flavonoids in addition to thiamine and numerous micronutrients. Although several of these nutriments have been studied in this plant, the comprehensive metabolite variations and molecular mechanisms associated with them have not been fully elucidated. In this study, untargeted metabolomics and transcriptomics were integrated to reveal the metabolite accumulation patterns and their associated molecular mechanisms during pecan kernel development. In total, 4260 (under positive mode) and 2726 (under negative mode) high quality features were retained. Overall, 163 differentially accumulated metabolites were identified. Most components were classified into the categories "organic acids and derivatives" and "lipids and lipid-like molecules." The accumulation patterns of amino acids, FAs, carbohydrates, organic acids, vitamins, flavonoids, and phenylpropanoids alongside embryo development were determined. Furthermore, transcriptomes from four pecan kernel developmental stages were used to assess transcript expression levels. Coexpression analyses were performed between FAs and their related genes. This study provides a comprehensive overview of the metabolic changes and regulations during pecan kernel development. We believe that the identification of nutriment accumulation trends and hub genes associated with the biosynthesis of the components will be valuable for genetically improving this plant.
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http://dx.doi.org/10.1021/acs.jafc.2c06947 | DOI Listing |
Food Chem
March 2025
State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong 999077, China; Eastern Institute of Technology, Ningbo 315100, China. Electronic address:
Pecan (Carya illinoinensis) is a globally important nut crop, yet the processes of lipid biosynthesis and spatial lipid distribution within its embryo remain poorly understood. This study employed UHPLC-MS/MS and MALDI-MSI to profile lipids in developing pecan embryos, identifying 401 lipid molecules, including a high abundance of glycerolipids (148) and glycerophospholipids (144). Differential diacylglycerols showed gradual uptrends, highlighting their role in synthesizing glycerolipids and glycerophospholipids.
View Article and Find Full Text PDFPlant Sci
February 2025
State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Lin'an District, Hangzhou, Zhejiang 311300, China. Electronic address:
Phosphatidyl ethanolamine-binding protein (PEBP) plays important roles in plant growth and development. However, few studies have investigated the PEBP gene family in pecan (Carya illinoinensis), particularly the function of the PEBP-like subfamily. In this study, we identified 12 PEBP genes from the pecan genome and classified them into four subfamilies: MFT-like, FT-like, TFL1-like and PEBP-like.
View Article and Find Full Text PDFFoods
August 2024
Institute of Pomology, Jiangsu Academy of Agricultural Sciences/Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement, Nanjing 210014, China.
In order to determine the appropriate harvesting period of planted in Nanjing city of China, this study analyzed the phenotypic characteristics and inclusions, including single fruit quality, fruit transverse and vertical diameter, kernel rate, water content, color, respiratory strength, crude fat, soluble sugar, soluble protein, and total phenols, of two cultivars 'Pawnee' and 'Wichita' during September and October, respectively. Results showed that the respiration intensity and values of pecan fruits decreased as the harvest date was delayed. 'Pawnee' fruits exhibited the highest seed kernel fullness, ∆E value, fruit transverse diameter, shape index, kernel yield, crude fat, and total phenolic content in late September and early October, while the quality of 'Wichita' fruits reached its peak in late October.
View Article and Find Full Text PDFFood Chem
December 2024
Department of Food Science and Technology, College of Agricultural and Environmental Sciences, University of Georgia, 100 Cedar Street, Athens, GA 30602, USA. Electronic address:
Nut kernel color is a crucial quality indicator affecting the consumers first impression of the product. While growing evidence suggests that plant phenolics and their derivatives are linked to nut kernel color, the compounds (biomarkers) responsible for kernel color stability during storage remain elusive. Here, pathway-based metabolomics with machine learning algorithms were employed to identify key metabolites of postharvest pecan color stability.
View Article and Find Full Text PDFHeliyon
August 2024
Facultad de Ciencias Agrotecnológicas, Universidad Autónoma de Chihuahua, Chihuahua, 31350, Mexico.
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