数字农科院2.0

Seed phenotype and maturity groups as determinants of protein, oil, and fatty acid composition patterns in diverse soybean germplasm

文献类型： 外文期刊

作者： Ahmed M. Abdelghany;Shengrui Zhang;Jing Li;Bin Li;Junming Sun

关键词： Glycine max;Seed composition;Seed coat color;Seed weight;Maturity groups;Multivariate analysis

期刊名称： BMC PLANT BIOLOGY

ISSN： 1471-2229

年卷期： 2025 年

页码：

收录情况： SCIE（2025版）

摘要： Soybean seed physical characteristics are crucial for quality assessment, but the link between these characteristics and biochemical composition across different maturity groups (MGs) remains unclear. This study examined the relationships between seed physical characteristics (color and weight) and biochemical constituents, including oil content (OC), protein content (PC), and fatty acid (FA) composition in 191 diverse soybean accessions across eight MGs (0-VII) at three locations over two years. The results indicated that black-seeded accessions demonstrated a notably higher average of PC (47.33%) and a lower average of OC (15.78%) in contrast to yellow-seeded varieties, which had an average PC and OC of 42.52% and 19.12%, respectively. In addition, larger seeds exhibited increased OC (19.15%) and OA levels (23.27%), whereas smaller seeds revealed higher concentrations of PC (44.23%), LA (55.06%), and LNA (8.53%). Multivariate analyses, including principal component analysis, clustering heatmap, and radar plot, demonstrated distinct clustering patterns, exhibiting unique compositional profiles closely linked to seed physical characteristics. Furthermore, MGs exhibited notable correlations with LNA (R² = 0.238) and OC (R² = 0.233), especially in black-seeded and large-seeded accessions. These findings elucidate the complex interaction between seed physical traits and biochemical composition, presenting significant implications for soybean breeding programs aimed at specific quality attributes.

分类号：

  • 相关文献

[1]Biochemical and Molecular Insights into Variation in Sesame Seed Antioxidant Capability as Revealed by Metabolomics and Transcriptomics Analysis. Senouwa Segla Koffi Dossou,Zishu Luo,Qianchun Deng,Rong Zhou,Yanxin Zhang,Donghua Li,Huan Li,Koffi Tozo,Jun You,Linhai Wang. 2024

[2]Seed Coat Color-Mediated Differences in Nutritional Composition and Antioxidant Activity of Mung Bean. Wu, Miaomiao,Tao, Qianyu,Wang, Suhua,Yao, Yang,Wang, Lixia. 2026

[3]Genetic mapping of yield traits using RIL population derived from Fuchuan Dahuasheng and ICG6375 of peanut (Arachis hypogaea L.). Chen, Yuning,Ren, Xiaoping,Zheng, Yanli,Zhou, Xiaojing,Huang, Li,Yan, Liying,Jiao, Yongqing,Chen, Weigang,Huang, Shunmou,Wan, Liyun,Lei, Yong,Liao, Boshou,Huai, Dongxin,Wei, Wenhui,Jiang, Huifang.

[4]Genome-wide association study dissects the genetic architecture of seed weight and seed quality in rapeseed (Brassica napus L.). Li, Feng,Chen, Biyun,Xu, Kun,Wu, Jinfeng,Song, Weilin,Liu, Shengyi,Gao, Guizhen,Wang, Nian,Yan, Guixin,Qiao, Jiangwei,Li, Jun,Li, Hao,Xiao, Xin,Zhang, Tianyao,Wu, Xiaoming,Bancroft, Ian,Harper, Andrea L.,Trick, Martin.

[5]Genetic differentiation in relation to seed weights in wild soybean species (Glycine soja Sieb. & Zucc.). Wang, Ke-Jing,Li, Xiang-Hua,Yan, Mao-Fen.

[6]Natural variation in ARF18 gene simultaneously affects seed weight and silique length in polyploid rapeseed. Liu, Jing,Hua, Wei,Hu, Zhiyong,Yang, Hongli,Zhang, Liang,Deng, Linbin,Sun, Xingchao,Wang, Xinfa,Wang, Hanzhong,Li, Rongjun.

[7]Increasing maize seed weight by enhancing the cytoplasmic ADP-glucose pyrophosphorylase activity in transgenic maize plants. Wang, Zhangying,Chen, Xiaoping,Wang, Jianhua,Liu, Tingsong,Liu, Yan,Zhao, Li,Wang, Guoying. 2007

[8]Genetic dissection of and genomic selection for seed weight, pod length, and pod width in soybean. Chen, Yijie,Xiong, Yajun,Hong, Huilong,Li, Gang,Gao, Jie,Guo, Qingyuan,Sun, Rujian,Ren, Honglei,Zhang, Fan,Wang, Jun,Song, Jian,Qiu, Lijuan. 2023

[9]Genome-wide analysis of the JAZ subfamily of transcription factors and functional verification of BnC08.JAZ1-1 in Brassica napus. Wang, Ying,Li, Na,Zhan, Jiepeng,Wang, Xinfa,Zhou, Xue-Rong,Shi, Jiaqin,Wang, Hanzhong. 2022

[10]Identification and Pyramiding Major QTL Loci for Simultaneously Enhancing Aflatoxin Resistance and Yield Components in Peanut. Gaorui Jin,Nian Liu,Bolun Yu,Yifei Jiang,Huaiyong Luo,Li Huang,Xiaojing Zhou,Liying Yan,Yanping Kang,Dongxin Huai,Yinbing Ding,Yuning Chen,Xin Wang,Huifang Jiang,Yong Lei,Jinxiong Shen,Boshou Liao. 2023

[11]REVIEW FOR GENETIC DISSECTION AND CLONING OF GENES FOR SEED WEIGHT IN OILSEED RAPE. Yao, Y. M.,Solangi, Z. A.,Abro, A. A.,Rattar, T. M.,Ali, U.,Anawar, M.,Ali, A.,Du, D.. 2024

[12]A chaperonin BnaC01.CCT8 contributes to silique length and seed weight by affecting auxin and jasmonic acid signalling in Brassica napus. Qu, Zhaoyang,Tian, Ze,Wei, Liqing,Wang, Chao,Kuang, Lieqiong,Yan, Jiaqi,Wang, Furong,Wang, Nian,Tu, Jinxing,Wang, Xinfa,Wang, Hanzhong,Dun, Xiaoling. 2025

[13]Loss of phytochromobilin synthase activity leads to larger seeds with higher protein content in soybean. Su, Xin,Wang, Hao-Rang,Zhang, Yong,Hong, Hui-Long,Sun, Xu-hong,Wang, Lei,Song, Ji-Ling,Yang, Meng-Ping,Yang, Xing-Yong,Han, Ying-Peng,Qiu, Li-juan. 2025

[14]Heterochrony may underpin the domestication of soybean seed and pod morphology. Yongzhe Gu,Yan Wang,Zhonghui Sun,Shilai Xing,Huihui Gao,Chaoying He. 2025

[15]Integrating linkage mapping and GWAS reveals novel genetic architecture of seed weight in soybean (Glycine max L.). Zhang, Chunlei,Hong, Huilong,Yuan, Rongqiang,Zhao, Kezhen,Zha, Bire,Lamlom, Sobhi F.,Xi, Xiaoyu,Ren, Honglei,Qiu, Lijuan,Wang, Jiajun. 2026

[16]Health risk to residents and stimulation to inherent bacteria of various heavy metals in soil. Zhang, Juan,Liu, Hui,Dai, Jiu-Lan,Zhang, Juan,Wang, Li-Hong,Yang, Jun-Cheng.

[17]Strategies for structure elucidation of small molecules using gas chromatography-mass spectrometric data. Zhang, Liangxiao,Tang, Chunlan,Xiao, Hongbin,Zhang, Liangxiao,Cao, Dongsheng,Fan, Wei,Liang, Yizeng,Zeng, Yingxu,Tan, Binbin,Zeng, Maomao.

[18]Characterization of the key odorants and investigation of the effects of drying methods on the aroma, taste, color and volatile profiles of the fruit of Clausena anisum-olens (Blanco) Merr.. Luo L.,Wang J.,Li M.,Zhang Y.,Wang Y.,Xu Y.,Chen H.,Zhu Y.,Feng Z.,Yin J.. 2023

[19]Characteristic Volatiles and Cultivar Classification in 35 Apple Varieties: A Case Study of Two Harvest Years. Xinye Wu,Jinfeng Bi,Marie Laure Fauconnier. 2022

[20]Direct analysis in real time high-resolution mass spectrometry for authenticity assessment of lamb. Mengjie Qie,Tiwen Li,Charles C. Liu,Yan Zhao. 2022

作者其他论文 更多>>