Guangfu Liu

Guangfu Liu


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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28 June 2020 in Pest Management Science
Verified
Journal Article
Closed access
PDF file
QYQian‐Qian Yang
Qian‐Qian Yang
CHChao He
Chao He
GLGuangfu Liu
Guangfu Liu
CYChuan‐Lin Yin
Chuan‐Lin Yin
YXYipeng Xu
Yipeng Xu
XYXiao-Ping Yu
Xiao-Ping Yu

1 March 2021 in Plant Disease
Verified
Journal Article
Closed access
KSKai Sun
Kai Sun
HLHuixin Lu
Huixin Lu
FFFeijun Fan
Feijun Fan
PZPengjun Zhang
Pengjun Zhang
GLGuangfu Liu
Guangfu Liu
XYXiao-Ping Yu
Xiao-Ping Yu
Chenopodium quinoa mitovirus 1 (CqMV1), a member of Mitovirus in the family Mitoviridae, is the first identified plant mitovirus (Nerva et al., 2019), which has been reported to be capable of infec...

19 October 2022 in Foods
Verified
Journal Article
Open access
PDF file
HXHuili Xu
Huili Xu
XMXiaoyu Ma
Xiaoyu Ma
ZYZihong Ye
Zihong Ye
XYXiao-Ping Yu
Xiao-Ping Yu
GLGuangfu Liu
Guangfu Liu
ZWZhengliang Wang
Zhengliang Wang
Adulteration of high-value beef with lower-priced alternatives is a world-wide problem resulting in consumers’ distrust and market chaos. Therefore, effective methods for the identification and quantification of adulterated beef products are urgently needed. In this study, we developed a reliable droplet digital PCR (ddPCR) method targeting the single-copy nuclear genes for qualitative and quantitative detection of the presence of porcine and chicken derivatives in beef. A fixed constant (transfer coefficient) was introduced to directly transform the ratio of DNA copy number to the mass proportion of targeted meats. Results revealed that the linearity range of quantification for pork and chicken were both from 1% (w/w) to 90% (w/w). The limit of detection (LOD) and limit of quantification (LOQ) of the developed ddPCR method were the same for pork and chicken in beef, with LOD 0.1% (w/w) and LOQ 1% (w/w). The accuracy and applicability of the method was tested and verified using mixed samples with the known proportions and commercially available beef products. We conclude that our developed ddPCR method was accurate and reliable in identifying and quantifying porcine and chicken derivatives in beef and therefore has great potential to be applied in routine analyses and quality control of beef products.

1 April 2019 in Journal of Thermal Biology
Verified
Journal Article
Closed access
YXYi-peng Xu
Yi-peng Xu
GZGuowan Zheng
Guowan Zheng
GLGuangfu Liu
Guangfu Liu
QYQianqian Yang
Qianqian Yang
XYXiao-Ping Yu
Xiao-Ping Yu

18 March 2022 in Insects
Verified
Journal Article
Open access
PDF file
JJJinliang Ji
Jinliang Ji
SHShanjie Han
Shanjie Han
RZRui-Juan Zhang
Rui-Juan Zhang
YJYu Jian-bin
Yu Jian-bin
YLYa-Bin Li
Ya-Bin Li
YXYipeng Xu
Yipeng Xu
The brown planthopper, Nilaparvata lugens, is a difficult-to-control insect pest affecting rice yields in Asia. As a structural component of the inter-alpha-trypsin inhibitor (ITI), the inter-alpha-trypsin inhibitor heavy chain (ITIH) has been reported to be involved in various inflammatory or malignant disorders, ovarian development, and ovulation. To reveal the function of ITIH4 in N. lugens, the gene encoding N. lugens ITIH4 (NlITIH4) was cloned and characterized. NlITIH4 contains a signal peptide, a vault protein inter-alpha-trypsin domain, and a von Willebrand factor type A domain. qPCR analysis showed that NlITIH4 was expressed at all developmental stages and in all tissues (fat body, ovary, and gut), with the highest expression in the fat body. Double stranded NlITIH4 (dsNlITIH4) injection clearly led to an RNAi-mediated inhibition of the expression of NlITIH4 and resulted in reduced survival, delayed ovarian development, and reduced egg production and egg hatching. These results indicate that NlITIH4 plays an important role in the development and reproduction of N. lugens.

7 November 2014 in In Vitro Cellular & Developmental Biology - Animal
Verified
Journal Article
Closed access
PDF file
GLGuangfu Liu
Guangfu Liu
YXYipeng Xu
Yipeng Xu
XYXiao-Ping Yu
Xiao-Ping Yu