Wei Wu

Dr. Wei Wu

orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

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

Representative Publications

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18 December 2012 in Plant Physiology
Verified
Journal Article
Open access
PDF file
KHKai Hou
Kai Hou
Wei WuWei Wu
Wei Wu
Susheng GanSusheng Gan
Susheng Gan
Small Auxin Up RNA genes (SAURs) are early auxin-responsive genes, but whether any of them are involved in leaf senescence is not known. Auxin, on the other hand, has been shown to have a role in leaf senescence. Some of the external application experiments indicated that auxin can inhibit leaf senescence, whereas other experiments indicated that auxin can promote leaf senescence. Here, we report the identification and characterization of an Arabidopsis (Arabidopsis thaliana) leaf senescence-associated gene named SAG201, which is highly up-regulated during leaf senescence and can be induced by 1-naphthaleneacetic acid, a synthetic auxin. It encodes a functionally uncharacterized SAUR that has been annotated as SAUR36. Leaf senescence in transfer DNA insertion saur36 knockout lines was delayed as revealed by analyses of chlorophyll content, Fv/Fm ratio (a parameter for photosystem II activity), ion leakage, and the expression of leaf senescence marker genes. In contrast, transgenic Arabidopsis plants overexpressing SAUR36 (without its 3′ untranslated region [UTR]) displayed an early leaf senescence phenotype. However, plants overexpressing SAUR36 with its 3′ UTR were normal and did not exhibit the early-senescence phenotype. These data suggest that SAUR36 is a positive regulator of leaf senescence and may mediate auxin-induced leaf senescence and that the 3′ UTR containing a highly conserved downstream destabilizes the SAUR36 transcripts in young leaves.

1 October 2018 in Global Ecology and Conservation
Verified
Journal Article
Open access
BWBo Wei
Bo Wei
RWRulin Wang
Rulin Wang
KHKai Hou
Kai Hou
XWXuying Wang
Xuying Wang
Wei WuWei Wu
Wei Wu

6 February 2017 in Scientific Reports
Verified
Journal Article
Open access
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FPFeng Pan
Feng Pan
TSTian-Jiao Su
Tian-Jiao Su
SCShi-Mei Cai
Shi-Mei Cai
Wei WuWei Wu
Wei Wu
Diverse fungal endophytes are rich fungal resources for the production of an enormous quantity of natural products. In the present study, 53 fungal endophytes were isolated from the bulbs of Fritillaria unibracteata var. wabuensis (FUW). Of these, 49 strains were identified and grouped into 17 different taxa, and priority was conferred to the Fusarium genus. All fungal fermented filtrates displayed antioxidant activities. The DPPH activity, total antioxidant capacities (ABTS), reduction power (FRAP), total phenolic content (TPC), total flavonoid content (TFC) and total saponin content (TSC) were evaluated using petroleum ether, ethyl acetate, n-butyl alcohol and ethanol fractions extracted from five representative fungal cultures. The last three fractions showed more potent antioxidant activity than the first fraction. Significant positive correlations were found between the compositions (TPC, TFC and TSC) and antioxidant capacities (DPPH, ABTS and FRAP). In addition, multifarious natural antioxidant components were identified from the fungal extracts, including gallic acid, rutin, phlorizin, 2,4-di-tert-butylphenol and 2,6-di-tert-butyl hydroquinone; these were determined preliminarily by TLC-bioautography, HPLC and GC-MS analysis. This study showed abundant fungal resources in FUW. Phenolics, flavonoids and saponins are crucial bioactive constituents in these abundant fungal endophytes and can be viewed as new potential antioxidant resources.

1 September 2020 in Industrial Crops and Products
Verified
Journal Article
Closed access
BWBo Wei
Bo Wei
KHKai Hou
Kai Hou
HZHuihui Zhang
Huihui Zhang
XWXuying Wang
Xuying Wang
Wei WuWei Wu
Wei Wu

5 June 2013 in Journal of Agricultural and Food Chemistry
Verified
Journal Article
Closed access
JZJianwei Zeng
Jianwei Zeng
ACAimeng Chen
Aimeng Chen
DLDandan Li
Dandan Li
BYBin Yi
Bin Yi
Wei WuWei Wu
Wei Wu

7 July 2014 in BMC Genomics
Verified
Journal Article
Open access
PDF file
JCJunwen Chen
Junwen Chen
KHKai Hou
Kai Hou
PQPeng Qin
Peng Qin
HLHongchang Liu
Hongchang Liu
BYBin Yi
Bin Yi
Wei WuWei Wu
Wei Wu
Stevia (Stevia rebaudiana) is an important medicinal plant that yields diterpenoid steviol glycosides (SGs). SGs are currently used in the preparation of medicines, food products and neutraceuticals because of its sweetening property (zero calories and about 300 times sweeter than sugar). Recently, some progress has been made in understanding the biosynthesis of SGs in Stevia, but little is known about the molecular mechanisms underlying this process. Additionally, the genomics of Stevia, a non-model species, remains uncharacterized. The recent advent of RNA-Seq, a next generation sequencing technology, provides an opportunity to expand the identification of Stevia genes through in-depth transcript profiling. We present a comprehensive landscape of the transcriptome profiles of three genotypes of Stevia with divergent SG compositions characterized using RNA-seq. 191,590,282 high-quality reads were generated and then assembled into 171,837 transcripts with an average sequence length of 969 base pairs. A total of 80,160 unigenes were annotated, and 14,211 of the unique sequences were assigned to specific metabolic pathways by the Kyoto Encyclopedia of Genes and Genomes. Gene sequences of all enzymes known to be involved in SG synthesis were examined. A total of 143 UDP-glucosyltransferase (UGT) unigenes were identified, some of which might be involved in SG biosynthesis. The expression patterns of eight of these genes were further confirmed by RT-QPCR. RNA-seq analysis identified candidate genes encoding enzymes responsible for the biosynthesis of SGs in Stevia, a non-model plant without a reference genome. The transcriptome data from this study yielded new insights into the process of SG accumulation in Stevia. Our results demonstrate that RNA-Seq can be successfully used for gene identification and transcript profiling in a non-model species.