Zhongqiu Li

Dr. Zhongqiu Li


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

View All Publications
13 May 2021 in Journal of Integrative Plant Biology
Verified
Journal Article
Closed access
PDF file
QXQiaoqiao Xiao
Qiaoqiao Xiao
ZLZhongqiu Li
Zhongqiu Li
MQMengmeng Qu
Mengmeng Qu
WXWenying Xu
Wenying Xu
ZSZhen Su
Zhen Su
JYJiaotong Yang
Jiaotong Yang

1 June 2022 in Genomics, Proteomics & Bioinformatics
Verified
Journal Article
Open access
ZLZhongqiu Li
Zhongqiu Li
YHYiheng Hu
Yiheng Hu
XMXuelian Ma
Xuelian Ma
LDLingling Da
Lingling Da
JSJiajie She
Jiajie She
ZSZhen Su
Zhen Su
Genetic and epigenetic changes after polyploidization events could result in variable gene expression and modified regulatory networks. Here, using large-scale transcriptome data, we constructed co-expression networks for diploid, tetraploid, and hexaploid wheat species, and built a platform for comparing co-expression networks of allohexaploid wheat and its progenitors, named WheatCENet. WheatCENet is a platform for searching and comparing specific functional co-expression networks, as well as identifying the related functions of the genes clustered therein. Functional annotations like pathways, gene families, protein–protein interactions, microRNAs (miRNAs), and several lines of epigenome data are integrated into this platform, and Gene Ontology (GO) annotation, gene set enrichment analysis (GSEA), motif identification, and other useful tools are also included. Using WheatCENet, we found that the network of WHEAT ABERRANT PANICLE ORGANIZATION 1 (WAPO1) has more co-expressed genes related to spike development in hexaploid wheat than its progenitors. We also found a novel motif of CCWWWWWWGG (CArG) specifically in the promoter region of WAPO-A1, suggesting that neofunctionalization of the WAPO-A1 gene affects spikelet development in hexaploid wheat. WheatCENet is useful for investigating co-expression networks and conducting other analyses, and thus facilitates comparative and functional genomic studies in wheat. WheatCENet is freely available at http://bioinformatics.cpolar.cn/WheatCENet and http://bioinformatics.cau.edu.cn/WheatCENet.

1 December 2024 in New Crops
Verified
Journal Article
Open access
YCYaxin Cao
Yaxin Cao
JSJiajie She
Jiajie She
ZLZhongqiu Li
Zhongqiu Li
YLYue Liu
Yue Liu
TTTian Tian
Tian Tian
ZSZhen Su
Zhen Su

Verified
Journal Article
Open access
PDF file
TXTianxi Xue
Tianxi Xue
LLLisen Liu
Lisen Liu
Xinyi ZhangXinyi Zhang
Xinyi Zhang
ZLZhongqiu Li
Zhongqiu Li
MSMinghao Sheng
Minghao Sheng
ZSZhen Su
Zhen Su
Subtilases (SBTs), which belong to the serine peptidases, control plant development by regulating cell wall properties and the activity of extracellular signaling molecules, and affect all stages of the life cycle, such as seed development and germination, and responses to biotic and abiotic environments. In this study, 146 Gossypium hirsutum, 138 Gossypium barbadense, 89 Gossypium arboreum and 84 Gossypium raimondii SBTs were identified and divided into six subfamilies. Cotton SBTs are unevenly distributed on chromosomes. Synteny analysis showed that the members of SBT1 and SBT4 were expanded in cotton compared to Arabidopsis thaliana. Co-expression network analysis showed that six Gossypium arboreum SBT gene family members were in a network, among which five SBT1 genes and their Gossypium hirsutum and Arabidopsis thaliana direct homologues were down-regulated by salt treatment, indicating that the co-expression network might share conserved functions. Through co-expression network and annotation analysis, these SBTs may be involved in the biological processes of auxin transport, ABA signal transduction, cell wall repair and root tissue development. In summary, this study provides valuable information for the study of SBT genes in cotton and excavates SBT genes in response to salt stress, which provides ideas for cotton breeding for salinity resistance.

19 January 2022 in bioRxiv
Verified
Preprint
Open access
PDF file
ZLZhongqiu Li
Zhongqiu Li
YHYiheng Hu
Yiheng Hu
XMXuelian Ma
Xuelian Ma
LDLingling Da
Lingling Da
JSJiajie She
Jiajie She
ZSZhen Su
Zhen Su
Genetic and epigenetic changes after polyploidization events could result in variable gene expression and modified regulatory networks. Here, using large-scale transcriptome data, we constructed co-expression networks for diploid, tetraploid, and hexaploid wheat species, and built a platform for comparing co-expression networks of allohexaploid wheat and its progenitors, named ccnWheat. ccnWheat is a platform for searching and comparing specific functional co-expression networks, as well as identifying the related functions of the genes clustered therein. Functional annotations like pathway, gene family, protein-protein interactions, microRNA (miRNA), and several lines of epigenome data are integrated in this platform, and Gene Ontology (GO) annotation, gene set enrichment analysis (GSEA), motif identification, and other useful tools are also included. Using ccnWheat, we found that the network of WHEAT ABERRANT PANICLE ORGANIZATION 1 (WAPO1) has more co-expressed genes related to spike development in hexaploid wheat than its progenitors. We also found a novel motif of CArG specifically in the promoter region of WAPO-A1 , suggesting that neofunctionalization of the WAPO-A1 gene affects spikelet development in hexaploid wheat. ccnWheat is useful for investigating co-expression networks and conducting other associated analyses, and thus facilitates comparative and functional genomic studies in wheat. ccnWheat is freely available at http://bioinformatics.cau.edu.cn/ccnWheat .