Reveal the kernel dehydration mechanisms in maize based on proteomic and metabolomic analysis
文献类型： 外文期刊
作者： Zhang, Hao 1 ; Gou, Xiaonan 1 ; Ma, Liangchuan 1 ; Zhang, Xiaojun 1 ; Qu, Jianzhou 1 ; Wang, Xiaoyue 1 ; Huang, Wenjie 3 ; Yan, Shijuan 3 ; Zhang, Xinghua 1 ; Xue, Jiquan 1 ; Xu, Shutu 1 ;
作者机构： 1.Northwest A&F Univ, Coll Agron, Key Lab Biol & Genet Improvement Maize Arid Area N, Minist Agr & Rural Affairs, Yangling 712100, Shaanxi, Peoples R China
2.Maize Engn Technol Res Ctr, Yangling 712100, Shaanxi, Peoples R China
3.Guangdong Acad Agr Sci, Agrobiol Gene Res Ctr, Guangdong Key Lab Crop Germplasm Resources Preserv, Guangzhou 510640, Guangdong, Peoples R China
关键词： Kernel dehydration rate (KDR); Kernel moisture content (KMC); Proteomics; Metabolomics; Maize
期刊名称：BMC PLANT BIOLOGY （ 影响因子：5.3； 五年影响因子：5.9 ）
ISSN： 1471-2229
年卷期： 2024 年 24 卷 1 期
页码：
收录情况： SCI
摘要： BackgroundKernel dehydration is an important factor for the mechanized harvest in maize. Kernel moisture content (KMC) and kernel dehydration rate (KDR) are important indicators for kernel dehydration. Although quantitative trait loci and genes related to KMC have been identified, where most of them only focus on the KMC at harvest, these are still far from sufficient to explain all genetic variations, and the relevant regulatory mechanisms are still unclear. In this study, we tried to reveal the key proteins and metabolites related to kernel dehydration in proteome and metabolome levels. Moreover, we preliminarily explored the relevant metabolic pathways that affect kernel dehydration combined proteome and metabolome. These results could accelerate the development of further mechanized maize technologies.ResultsIn this study, three maize inbred lines (KB182, KB207, and KB020) with different KMC and KDR were subjected to proteomic analysis 35, 42, and 49 days after pollination (DAP). In total, 8,358 proteins were quantified, and 2,779 of them were differentially expressed proteins in different inbred lines or at different stages. By comparative analysis, K-means cluster, and weighted gene co-expression network analysis based on the proteome data, some important proteins were identified, which are involved in carbohydrate metabolism, stress and defense response, lipid metabolism, and seed development. Through metabolomics analysis of KB182 and KB020 kernels at 42 DAP, 18 significantly different metabolites, including glucose, fructose, proline, and glycerol, were identified.ConclusionsIn sum, we inferred that kernel dehydration could be regulated through carbohydrate metabolism, antioxidant systems, and late embryogenesis abundant protein and heat shock protein expression, all of which were considered as important regulatory factors during kernel dehydration process. These results shed light on kernel dehydration and provide new insights into developing cultivars with low moisture content.
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