Gu Wei

Dr. Gu Wei

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 March 2019 in The Plant Cell
Verified
Journal Article
Open access
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FYFei Yi
Fei Yi
GWGu Wei
Gu Wei
Jian ChenJian Chen
Jian Chen
NSNing Song
Ning Song
XGXiang Gao
Xiang Gao
JLJinsheng Lai
Jinsheng Lai
The early maize (Zea mays) seed undergoes several developmental stages after double fertilization to become fully differentiated within a short period of time, but the genetic control of this highly dynamic and complex developmental process remains largely unknown. Here, we report a high temporal-resolution investigation of transcriptomes using 31 samples collected at an interval of 4 or 6 h within the first six days of seed development. These time-course transcriptomes were clearly separated into four distinct groups corresponding to the stages of double fertilization, coenocyte formation, cellularization, and differentiation. A total of 22,790 expressed genes including 1415 transcription factors (TFs) were detected in early stages of maize seed development. In particular, 1093 genes including 110 TFs were specifically expressed in the seed and displayed high temporal specificity by expressing only in particular period of early seed development. There were 160, 22, 112, and 569 seed-specific genes predominantly expressed in the first 16 h after pollination, coenocyte formation, cellularization, and differentiation stage, respectively. In addition, network analysis predicted 31,256 interactions among 1317 TFs and 14,540 genes. The high temporal-resolution transcriptome atlas reported here provides an important resource for future functional study to unravel the genetic control of seed development.

25 February 2025 in Frontiers in Plant Science
Verified
Journal Article
Open access
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AMAtikaimu Maimaiti
Atikaimu Maimaiti
GWGu Wei
Gu Wei
DYDiansi Yu
Diansi Yu
YGYuan Guan
Yuan Guan
JQJingtao Qu
Jingtao Qu
PWPenghao Wu
Penghao Wu
Introduction: Maize ranks among the most essential crops globally, yet its growth and yield are significantly hindered by salt stress, posing challenges to agricultural productivity. To utilize saline-alkali soils more effectively and enrich maize germplasm resources, identifying salt-tolerant genes in maize is essential.Methods: In this study, we used a salt-tolerant maize inbred line, SPL02, and a salt-sensitive maize inbred line, Mo17. We treated both lines with 180 mmol/L sodium chloride (NaCl) for 0 days, 3 days, 6 days, and 9 days at the three-leaf growth stage (V3). Through comprehensive morphological, physiological, and transcriptomic analyses, we assessed salt stress effects and identified hub genes and pathways associated with salt tolerance.Results: Our analysis identified 25,383 expressed genes, with substantial differences in gene expression patterns across the salt treatment stages. We found 8,971 differentially expressed genes (DEGs)—7,111 unique to SPL02 and 4,791 unique to Mo17—indicating dynamic gene expression changes under salt stress. In SPL02, the DEGs are primarily associated with the MAPK signaling pathway, phenylpropanoid biosynthesis, and hormone signaling under salt treatment conditions. In Mo17, salt stress responses are primarily mediated through the abscisic acid-activated signaling pathway and hormone response. Additionally, our weighted gene co-expression network analysis (WGCNA) pinpointed five hub genes that likely play central roles in mediating salt tolerance. These genes are associated with functions including phosphate import ATP-binding protein, glycosyltransferase, and WRKY transcription factors.Discussion: This study offers valuable insights into the complex regulatory networks governing the maize response to salt stress and identifies five hub genes and pathways for further investigation. These findings contribute valuable knowledge for enhancing agricultural resilience and sustainability in saline-affected environments.

18 December 2020 in Plant Physiology
Verified
Journal Article
Open access
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FYFei Yi
Fei Yi
GWGu Wei
Gu Wei
JLJianfang Li
Jianfang Li
Jian ChenJian Chen
Jian Chen
LHLi Hu
Li Hu
Weibin SongWeibin Song
Weibin Song
Endoplasmic reticulum (ER) type I signal peptidases (ER SPases I) are vital proteases that cleave signal peptides from secreted proteins. However, the specific function of ER SPase I in plants has not been genetically characterized, and the substrate is largely unknown. Here, we report the identification of a maize (Zea mays) miniature seed6 (mn6) mutant. The loss-of-function mn6 mutant exhibited severely reduced endosperm size. Map-based cloning and molecular characterization indicated that Mn6 is an S26-family ER SPase I, with Gly102 (box E) in Mn6 critical for protein function during processing. Mass spectrometric and immunoprecipitation analyses revealed that Mn6 is predominantly involved in processing carbohydrate synthesis-related proteins, including the cell wall invertase miniature seed1 (Mn1), which is specifically expressed in the basal endosperm transfer layer. RNA and protein expression levels of Mn1 were both significantly downregulated in the mn6 mutant. Due to the significant reduction in cell wall invertase activity in the transfer cell layer, mutation of Mn6 caused dramatic defects in endosperm development. These results suggest that proper maturation of Mn1 by Mn6 may be a crucial step for proper seed filling and maize development.

28 February 2025 in Agronomy
Verified
Journal Article
Open access
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ZZZhixiong Zhao
Zhixiong Zhao
YGYuan Guan
Yuan Guan
TQTao Q
Tao Q
HZHongjian Zheng
Hongjian Zheng
HWHui Wang
Hui Wang
YHYing-Xiong Hu
Ying-Xiong Hu
The DIR gene family, which encodes Dirigent proteins, plays a crucial role in plant development and stress responses. However, the functions and mechanisms of this family in maize remained underexplored. This study identified ZmDIR11, a member of the maize Dirigent protein family, and explored its role in drought tolerance. ZmDIR11 shared conserved regions with homologous proteins in wheat, rice, and Arabidopsis. RT-qPCR analysis revealed that ZmDIR11 expression is upregulated in leaves under drought and PEG stress, while subcellular localization confirmed its presence in the endoplasmic reticulum. Virus-induced gene silencing (VIGS) and EMS mutagenesis demonstrated that ZmDIR11 silencing or mutation significantly reduces drought tolerance in maize seedlings, indicating its positive regulatory role. Silencing or mutation of ZmDIR11 led to decreased growth parameters (plant height, root length, fresh weight, dry weight, and chlorophyll content) under drought stress, alongside a reduced antioxidant capacity, as evidenced by increased levels of MDA and ROS and decreased activities of SOD, CAT, and POD. Furthermore, ZmDIR11 mutation impaired the synthesis of ABA and zeatin, downregulating key genes in the ABA (ZmABA1, ZmNCED3, ZmSnRK2.6) and zeatin (ZmIPT4, ZmCKO5, ZmCKO4b) pathways. Drought-responsive genes (ZmRD20, ZmRD22, ZmDREB2A) and lignan biosynthesis genes (Zm4CL, ZmC3H, ZmCAD1) are also downregulated in ZmDIR11 mutants. In conclusion, ZmDIR11 enhances drought tolerance in maize by regulating antioxidant capacity, ABA and zeatin synthesis, and lignan metabolism. This study provides new insights into the role of DIR genes in drought tolerance and offers a potential genetic resource for breeding drought-resistant maize varieties.

4 March 2025 in Plants
Verified
Journal Article
Open access
PDF file
ZZZhixiong Zhao
Zhixiong Zhao
TQTao Q
Tao Q
HZHongjian Zheng
Hongjian Zheng
YGYuan Guan
Yuan Guan
GWGu Wei
Gu Wei
WXWen Xu
Wen Xu
The DIR (Dirigent) gene family plays a multifaceted role in plant growth, development, and stress responses, making it one of the key gene families for plant adaptation to environmental changes. However, research on ZmDIRs in maize remains limited. In this study, we identified a member of the maize DIR gene family, ZmDIR5, whose promoter region contains numerous elements associated with responses to abiotic stresses. ZmDIR5 is upregulated in response to waterlogging, salt, and drought stresses, and its protein is localized in the endoplasmic reticulum. Subsequent studies revealed that ZmDIR5-EMS (ethyl methane sulfonate) mutant lines exhibited reduced growth compared to WT (wild-type) plants under waterlogging, salt, and drought stress conditions. The mutant lines also demonstrated a relatively higher accumulation of malondialdehyde and reactive oxygen species, lower synthesis of proline and total lignans, and decreased antioxidant enzyme activity under these stress conditions. Additionally, the mutant lines displayed impaired sodium and potassium ion transport capabilities, reduced synthesis of abscisic acid and zeatin, and decreased expression of related genes. The mutation of ZmDIR5 also inhibited the phenylpropanoid biosynthesis pathway in maize. These results indicate that ZmDIR5 serves as a positive regulator of maize tolerance to waterlogging, salt, and drought stresses.

22 April 2026 in Plants
Verified
Journal Article
Open access
PDF file
JQJingtao Qu
Jingtao Qu
DYDiansi Yu
Diansi Yu
GWGu Wei
Gu Wei
YZYingjie Zhao
Yingjie Zhao
KLKai Li
Kai Li
YGYuan Guan
Yuan Guan
Genotyping is a key step in molecular breeding. Due to its cost-effectiveness, accuracy, and flexibility, genotyping by target sequencing (GBTS) has become a preferred technology for medium-density genotyping. In this study, a new GBTS array for fresh edible maize was developed using resequencing data from 477 lines. The array contains 5759 SNPs evenly distributed across the maize genome, with average minor allele frequency (MAF) and polymorphism information content (PIC) values of 0.40 and 0.36, respectively. These SNPs are closely associated with 1566 functional genes. Cluster analysis of 198 maize lines based on the GBTS array was consistent with their pedigree relationships. Furthermore, 277 fresh waxy maize lines were genotyped and used for genomic selection analyses of hundred-kernel weight, kernel length, and kernel width. Comparative evaluation of different models indicated that Ridge Regression Best Linear Unbiased Prediction (rrBLUP) was the optimal model, with prediction accuracies of 0.33, 0.64, and 0.36, respectively. Additional analyses using different marker densities based on the rrBLUP model showed that prediction accuracy did not increase when the number of markers exceeded 2000, indicating that this array provides sufficient marker density for genetic analysis and genomic selection. Overall, this array provides a useful tool for genetic studies of fresh edible maize and facilitates the application of genomic selection in breeding programs.