Le GUAN

Dr. Le GUAN

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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Verified
Journal Article
Open access
PDF file
LGLe GUAN
Le GUAN
HSHaider Salman
Haider Salman
NKNadeem Khan
Nadeem Khan
Maazullah NasimMaazullah Nasim
Maazullah Nasim
SJSongtao Jiu
Songtao Jiu
JFJinggui Fang
Jinggui Fang
Salinity is ubiquitous abiotic stress factor limiting viticulture productivity worldwide. However, the grapevine is vulnerable to salt stress, which severely affects growth and development of the vine. Hence, it is crucial to delve into the salt resistance mechanism and screen out salt-resistance prediction marker genes; we implicated RNA-sequence (RNA-seq) technology to compare the grapevine transcriptome profile to salt stress. Results showed 2472 differentially-expressed genes (DEGs) in total in salt-responsive grapevine leaves, including 1067 up-regulated and 1405 down-regulated DEGs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations suggested that many DEGs were involved in various defense-related biological pathways, including ROS scavenging, ion transportation, heat shock proteins (HSPs), pathogenesis-related proteins (PRs) and hormone signaling. Furthermore, many DEGs were encoded transcription factors (TFs) and essential regulatory proteins involved in signal transduction by regulating the salt resistance-related genes in grapevine. The antioxidant enzyme analysis showed that salt stress significantly affected the superoxide dismutase (SOD), peroxidase (POD), catalase (CAT) and glutathione S-transferase (GST) activities in grapevine leaves. Moreover, the uptake and distribution of sodium (Na+), potassium (K+) and chlorine (Cl−) in source and sink tissues of grapevine was significantly affected by salt stress. Finally, the qRT-PCR analysis of DE validated the data and findings were significantly consistent with RNA-seq data, which further assisted in the selection of salt stress-responsive candidate genes in grapevine. This study contributes in new perspicacity into the underlying molecular mechanism of grapevine salt stress-tolerance at the transcriptome level and explore new approaches to applying the gene information in genetic engineering and breeding purposes.

29 June 2020 in BMC Genomics
Verified
Journal Article
Open access
PDF file
HXHuilin Xiao
Huilin Xiao
CWChaoping Wang
Chaoping Wang
NKNadeem Khan
Nadeem Khan
MCMengxia Chen
Mengxia Chen
WFWeihong Fu
Weihong Fu
XLxiangpeng leng
xiangpeng leng
Background: The class III peroxidases (PODs) are involved in a broad range of physiological activities, such as the formation of lignin, cell wall components, defense against pathogenicity or herbivore, and abiotic stress tolerance. The POD family members have been well-studied and characterized by bioinformatics analysis in several plant species, but no previous genome-wide analysis has been carried out of this gene family in grapevine to date. Results: We comprehensively identified 47 PODs in the grapevine genome and are further classified into 7 subgroups based on their phylogenetic analysis. Results of motif composition and gene structure organization analysis revealed that PODs in the same subgroup shared similar conjunction while the protein sequences were highly conserved. Intriguingly, the integrated analysis of chromosomal mapping and gene collinearity analysis proposed that both dispersed and tandem duplication events contributed to the expansion of PODs in grapevine. Also, the gene duplication analysis suggested that most of the genes (20) were dispersed followed by (15) tandem, (9) segmental or whole-genome duplication, and (3) proximal, respectively. The evolutionary analysis of PODs, such as Ka/Ks ratio of the 15 duplicated gene pairs were less than 1.00, indicated that most of the gene pairs exhibiting purifying selection and 7 pairs underwent positive selection with value greater than 1.00. The Gene Ontology Enrichment (GO), Kyoto Encyclopedia of Genes Genomics (KEGG) analysis, and cis-elements prediction also revealed the positive functions of PODs in plant growth and developmental activities, and response to stress stimuli. Further, based on the publically available RNA-sequence data, the expression patterns of PODs in tissue-specific response during several developmental stages revealed diverged expression patterns. Subsequently, 30 genes were selected for RT-PCR validation in response to (NaCl, drought, and ABA), which showed their critical role in grapevine. Conclusions: In conclusion, we predict that these results will lead to novel insights regarding genetic improvement of grapevine.

10 June 2023 in Metabolites
Verified
Journal Article
Open access
PDF file
DWDi Wu
Di Wu
FZFengchao Zhuang
Fengchao Zhuang
JWJiarui Wang
Jiarui Wang
RGRuiqi Gao
Ruiqi Gao
QZQiunan Zhang
Qiunan Zhang
YGYanqiang Gao
Yanqiang Gao
Flower color is an important characteristic of ornamental plants and is determined by various chemical components, including anthocyanin. In the present study, combined metabolomics and transcriptomics analysis was used to explore color variations in the chrysanthemums of three cultivars, of which the color of JIN is yellow, FEN is pink, and ZSH is red. A total of 29 different metabolites, including nine anthocyanins, were identified in common in the three cultivars. Compared with the light-colored cultivars, all of the nine anthocyanin contents were found to be up-regulated in the dark-colored ones. The different contents of pelargonidin, cyanidin, and their derivates were found to be the main reason for color variations. Transcriptomic analysis showed that the color difference was closely related to anthocyanin biosynthesis. The expression level of anthocyanin structural genes, including DFR, ANS, 3GT, 3MaT1, and 3MaT2, was in accordance with the flower color depth. This finding suggests that anthocyanins may be a key factor in color variations among the studied cultivars. On this basis, two special metabolites were selected as biomarkers to assist in chrysanthemum breeding for color selection.

1 August 2017 in Food Research International
Verified
Journal Article
Closed access
LGLe GUAN
Le GUAN
BWBen-Hong Wu
Ben-Hong Wu
GHGhislaine HILBERT
Ghislaine HILBERT
Shaohua LiShaohua Li
Shaohua Li
Eric GomèsEric Gomès
Eric Gomès
Zhanwu DaiZhanwu Dai
Zhanwu Dai

24 October 2019 in Research Square
Verified
Preprint
Open access
HXHuilin Xiao
Huilin Xiao
CWChaoping Wang
Chaoping Wang
NKNadeem Khan
Nadeem Khan
MCMengxia Chen
Mengxia Chen
WFWeihong Fu
Weihong Fu
XLXiangpeng Leng
Xiangpeng Leng
The purpose of this study is by extending the analysis of class III peroxidases (PODs) in grapevine and provide further insights into the organ-specific developmental role in transcriptional dynamics and gene duplication analysis of this economically important fruit crop species. Herein, we comprehensively identified 47 PODs in the grapevine genome and are further classified into 7 subgroups based on their phylogenetic analysis. Results of motif composition and gene structure organization analysis revealed that PODs in the same subgroup shared similar conjunction while the protein sequences were highly conserved. Intriguingly, the integrated analysis of chromosomal mapping and gene collinearity analysis proposed that both dispersed and tandem duplication events contributed to the expansion of PODs in grapevine. Also, the gene duplication analysis suggested that most of the genes (20) were dispersed followed by (15) tandem, (9) segmental or whole-genome duplication, and (3) proximal, respectively. The evolutionary analysis of PODs, such as Ka/Ks ratio of the 15 duplicated gene pairs were less than 1.00, indicated that most of the gene pairs exhibiting purifying selection and 7 pairs underwent positive selection with value greater than 1.00. The Gene Ontology Enrichment (GO), Kyoto Encyclopedia of Genes Genomics (KEGG) analysis, and cis-elements prediction also revealed the positive functions of PODs in plant growth and developmental activities, and response to stress stimuli. Further, based on the publically available RNA-sequence data, the expression patterns of PODs in tissue-specific response during several developmental stages revealed diverged expression patterns. Subsequently, 30 genes were selected for RT-PCR validation in response to (NaCl, drought, and ABA), which showed their critical role in grapevine. In conclusion, we predict that these results will lead to novel insights regarding genetic improvement of grapevine.