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.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.jafc.2c06947DOI Listing

Publication Analysis

Top Keywords

pecan kernel
12
metabolomics transcriptomics
8
acids fas
8
molecular mechanisms
8
accumulation patterns
8
kernel development
8
pecan
5
transcriptomics analyses
4
analyses reveal
4
reveal regulatory
4

Similar Publications

Lipidomics and spatial metabolomics reveal the heterogeneity in lipid distribution within pecan kernels.

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 PDF

Characterization of pecan PEBP family genes and the potential regulation role of CiPEBP-like1 in fatty acid synthesis.

Plant 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 PDF

Changes in Quality of at Different Harvest Periods.

Foods

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 PDF

Metabolomic analysis combined with machine learning algorithms enables the evaluation of postharvest pecan color stability.

Food 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 PDF
Article Synopsis
  • Zinc and boron are vital nutrients for pecan trees in calcareous soils, but their availability is often low.
  • An experiment involving young pecan trees tested the effects of foliar sprays of zinc oxide nanoparticles and boron on various growth and yield factors, including enzyme activities, nutrient concentrations, and nut quality.
  • Results showed that these sprays enhanced mineral nutrient levels, increased yield, and improved chlorophyll concentrations, although some reductions in certain phenolic compounds and nut quality were also observed.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!