Kaiyun Fu

Prof. Dr. Kaiyun Fu

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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13 March 2013 in BMC Research Notes
Verified
Journal Article
Open access
PDF file
XSXiao-Qin Shi
Xiao-Qin Shi
GCGuo Wen Chao
Guo Wen Chao
PWPin-Jun Wan
Pin-Jun Wan
LZLi-Tao Zhou
Li-Tao Zhou
XRXiang-Liang Ren
Xiang-Liang Ren
GLGuo-Qing Li
Guo-Qing Li
Background: L. decemlineata is an exotic invasive insect pest, and invaded in Xinjiang Uygur autonomous region in China in the 1990s from Kazakhstan. It is a notorious defoliator of potato throughout most of the northern Xinjiang in current, and often causes extremely large yield losses of potato. Results: The expression stability of nine L. decemlineata house-keeping genes (Actin, ACT1 and ACT2; ADP-ribosylation factor, ARF1 and ARF4; TATA box binding protein, TBP1 and TBP2; ribosomal protein RP4 and RP18; translation elongation factor 1α EF1α) was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) in seven developmental stages, three larval tissues and two insecticide treatments. The results were analyzed using three software programs: geNorm, NormFinder and BestKeeper. Although there was no consistent ranking observed among the house-keeping genes across the samples, the overall analysis revealed that RP18, RP4, ARF1, and ARF4 were the four most stable house-keeping genes. In contrast, ACT1 and ACT2, two of the most widely used reference genes, had the least stability. Our results suggest that the combined use of the four most stably expressed genes may produce optimal normalization for qRT-PCR. Conclusions: The expression stability of the house-keeping genes varies among different developing stages, in different tissues and under different experimental conditions. Our results will enable a more accurate and reliable normalization of qRT-PCR data in L. decemlineata.

1 September 2014 in Pesticide Biochemistry and Physiology
Verified
Journal Article
Closed access
KFKaiyun Fu
Kaiyun Fu
GCGuo Wen Chao
Guo Wen Chao
FLFeng-Gong Lü
Feng-Gong Lü
XLXin-Ping Liu
Xin-Ping Liu
GLGuo-Qing Li
Guo-Qing Li

1 June 2018 in Insect Biochemistry and Molecular Biology
Verified
Journal Article
Closed access
QMQing-Wei Meng
Qing-Wei Meng
QXQing-Yu Xu
Qing-Yu Xu
PDPan Deng
Pan Deng
KFKaiyun Fu
Kaiyun Fu
GCGuo Wen Chao
Guo Wen Chao
GLGuo-Qing Li
Guo-Qing Li

1 December 2018 in Insect Biochemistry and Molecular Biology
Verified
Journal Article
Closed access
PDPan Deng
Pan Deng
QXQing-Yu Xu
Qing-Yu Xu
KFKaiyun Fu
Kaiyun Fu
GCGuo Wen Chao
Guo Wen Chao
GLGuo-Qing Li
Guo-Qing Li

16 July 2020 in Insects
Verified
Journal Article
Open access
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WHWanwan He
Wanwan He
WXWenbo Xu
Wenbo Xu
KFKaiyun Fu
Kaiyun Fu
GCGuo Wen Chao
Guo Wen Chao
JZJiang Zhang
Jiang Zhang
RNA interference (RNAi)-based technology has been proven as a novel approach for insect pest control. However, whether insects could evolve resistance to RNAi and the underlying mechanism is largely unknown. The target gene mutations were thought to be one of the potential ways to develop the resistance. Here we predicted the effective siRNA candidates that could be derived from dsRNA against the Colorado potato beetle (CPB) β-Actin gene (dsACT). By site-directed mutagenesis, we synthesized the dsRNAs with the defect in generation of effective siRNAs (and thus were supposed to have comparable low RNAi efficacy). We showed that, with mismatches to the target gene, all the dsRNA variants caused similar levels of silencing of target gene, mortality and larval growth retardation of CPB. Our results suggest that when the mismatch rate of dsACT and target β-Actin mRNA is less than 3%, the RNAi efficiency is not impaired in CPB, which might imply the low possibility of RNAi resistance evolving through the sequence mismatches between dsRNA and the target gene.

1 February 2022 in Pest Management Science
Verified
Journal Article
Closed access
PDF file
CSChen hui Shen
Chen hui Shen
Lin JinLin Jin
Lin Jin
KFKaiyun Fu
Kaiyun Fu
GCGuo Wen Chao
Guo Wen Chao
GLGuo-Qing Li
Guo-Qing Li