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Featured researches published by Hua-Ying Fu.


BioMed Research International | 2015

A One-Step Real-Time RT-PCR Assay for the Detection and Quantitation of Sugarcane Streak Mosaic Virus

Wei-Lin Fu; Sheng-Ren Sun; Hua-Ying Fu; Ru-Kai Chen; Jin-Wei Su; San-Ji Gao

Sugarcane mosaic disease is caused by the Sugarcane streak mosaic virus (SCSMV; genus Poacevirus, family Potyviridae) which is common in some Asian countries. Here, we established a protocol of a one-step real-time quantitative reverse transcription PCR (real-time qRT-PCR) using the TaqMan probe for the detection of SCSMV in sugarcane. Primers and probes were designed within the conserved region of the SCSMV coat protein (CP) gene sequences. Standard single-stranded RNA (ssRNA) generated by PCR-based gene transcripts of recombinant pGEM-CP plasmid in vitro and total RNA extracted from SCSMV-infected sugarcane were used as templates of qRT-PCR. We further performed a sensitivity assay to show that the detection limit of the assay was 100 copies of ssRNA and 2 pg of total RNA with good reproducibility. The values obtained were approximately 100-fold more sensitive than those of the conventional RT-PCR. A higher incidence (68.6%) of SCSMV infection was detected by qRT-PCR than that (48.6%) with conventional RT-PCR in samples showing mosaic symptoms. SCSMV-free samples were verified by infection with Sugarcane mosaic virus (SCMV) or Sorghum mosaic virus (SrMV) or a combination of both. The developed qRT-PCR assay may become an alternative molecular tool for an economical, rapid, and efficient detection and quantification of SCSMV.


BioMed Research International | 2016

Rapid and Quantitative Detection of Leifsonia xyli subsp. xyli in Sugarcane Stalk Juice Using a Real-Time Fluorescent (TaqMan) PCR Assay

Hua-Ying Fu; Sheng-Ren Sun; Jin-Da Wang; Kashif Ahmad; Heng-Bo Wang; Ru-Kai Chen; San-Ji Gao

Ratoon stunting disease (RSD) of sugarcane, one of the most important diseases seriously affecting the productivity of sugarcane crops, was caused by the bacterial agent Leifsonia xyli subsp. xyli (Lxx). A TaqMan probe-based real-time quantitative polymerase chain reaction (qPCR) assay was established in this study for the quantification of Lxx detection in sugarcane stalk juice. A pair of PCR primers (Pat1-QF/Pat1-QR) and a fluorogenic probe (Pat1-QP) targeting the Part1 gene of Lxx were used for the qPCR assay. The assay had a detection limit of 100 copies of plasmid DNA and 100 fg of Lxx genomic DNA, which was 100-fold more sensitive than the conventional PCR. Fifty (28.7%) of 174 stalk juice samples from two field trials were tested to be positive by qPCR assay, whereas, by conventional PCR, only 12.1% (21/174) were tested to be positive with a published primer pair CxxITSf#5/CxxITSr#5 and 15.5% (27/174) were tested to be positive with a newly designed primer pair Pat1-F2/Pat1-R2. The new qPCR assay can be used as an alternative to current diagnostic methods for Lxx, especially when dealing with certificating a large number of healthy cane seedlings and determining disease incidence accurately in commercial fields.


Pesticide Biochemistry and Physiology | 2018

Silence of ryanodine receptor gene decreases susceptibility to chlorantraniliprole in the oriental armyworm, Mythimna separata Walker

Jinda Wang; Li-Fei Chen; Ya-Ru Wang; Hua-Ying Fu; Ahmad Ali; Da Xiao; Ran Wang; San-Ji Gao

The ryanodine receptors of insects are the main target sites of diamide insecticides, which show highly selective insecticidal activity relative to toxicity in mammals and provide a novel option for managing lepidopteran pests. The oriental armyworm, Mythimna separata (Walker), is a destructive pest of agricultural crops, and great efforts have been undertaken to control this pest including repeated insecticide applications. In this study, full-length cDNA of a ryanodine receptor gene from M. separata (MsRyR) was cloned and characterized. The cDNA of MsRyR had a 15,372 bp open reading frame and encoded 5124 amino acids (GenBank ID: MG712298). MsRyR shares 78-97% identity with RyR isoforms of other insects, and <50% identities with Homo sapiens RyRs 1-3. Temporal and spatial expression analysis detected MsRyR at all developmental stages and in all tissues. The highest relative levels of MsRyR were detected in the second instar and head. Exposure to chlorantraniliprole after 24 h significantly increased the expression levels of whole body MsRyR mRNA. In addition, dietary ingestion of dsMsRyR significantly reduced the mRNA level of MsRyR and greatly decreased chlorantraniliprole-induced mortality. Our results revealed that the MsRyR could be the molecular target of chlorantraniliprole, and provided the basis for further understanding the resistance mechanism of chlorantraniliprole.


BioMed Research International | 2018

Development of Quantitative Real-Time PCR Assays for Rapid and Sensitive Detection of Two Badnavirus Species in Sugarcane

Sheng-Ren Sun; Kashif Ahmad; Xiao-Bin Wu; Jian-Sheng Chen; Hua-Ying Fu; Mei-Ting Huang; San-Ji Gao

Sugarcane-infecting badnaviruses (sugarcane bacilliform viruses, SCBVs) represent a genetically heterogeneous species complex, posing a serious threat to the yield and quality of sugarcane in all major producing regions. SCBVs are commonly transmitted across regions by the exchange of sugarcane germplasm. In this study, we develop two quick, sensitive, and reliable protocols for real-time quantitative PCR (qPCR) of Sugarcane bacilliform MO virus (SCBMOV) and Sugarcane bacilliform IM virus (SCBIMV) using two sets of TaqMan probes and primers targeting the reverse transcriptase/ribonuclease H (RT/RNase H) region. The two assays had a detection limit of 100 copies of plasmid DNA and were 100 times more sensitive than conventional PCR. High specificity of the two assays was observed with respect to SCBIMV and SCBMOV. A total of 176 sugarcane leaf tissue samples from Fujian and Yunnan provinces were collected and analyzed in parallel by conventional PCR, SCBIMV-qPCR, and SCBMOV-qPCR. The SCBIMV-qPCR and SCBMOV-qPCR assays indicated that 50% (88/176) and 47% (83/176) samples tested positive, respectively, whereas only 29% (51/176) tested positive with conventional PCR with the primer pairs SCBV-F and SCBV-R. We demonstrate for the first time that SCBIMV and SCBMOV occur in China and reveal coinfection of both Badnavirus species in 29% (51/176) of tested leaf samples. Our findings supply sensitive and reliable qPCR assays for the detection and quantitation of SCBV in sugarcane quarantine programs.


Archives of Virology | 2014

Genome characterization of sugarcane yellow leaf virus from China reveals a novel recombinant genotype.

Yi-Hua Lin; San-Ji Gao; Mona B. Damaj; Hua-Ying Fu; Ru-Kai Chen; T. Erik Mirkov


Annals of Applied Biology | 2016

Genetic diversity and population structure of Sorghum mosaic virus infecting Saccharum spp. hybrids

Q. Luo; K. Ahmad; Hua-Ying Fu; J.-D. Wang; Ru-Kai Chen; San-Ji Gao


Journal of Phytopathology | 2016

Prevalence and RT/RNase H Genealogy of Sugarcane Bacilliform Virus Isolates from China

Xiao-Bin Wu; Olufemi J. Alabi; Mona B. Damaj; Sheng-Ren Sun; Theodore Erik Mirkov; Hua-Ying Fu; Ru-Kai Chen; San-Ji Gao


Archives of Virology | 2016

Genomic variability and molecular evolution of Asian isolates of sugarcane streak mosaic virus

Shan-Shan Liang; Olufemi J. Alabi; Mona B. Damaj; Wei-Lin Fu; Sheng-Ren Sun; Hua-Ying Fu; Ru-Kai Chen; T. Erik Mirkov; San-Ji Gao


Tropical Plant Pathology | 2015

Molecular detection, genetic diversity and distribution of Sugarcane yellow leaf virus genotypes in China

Yi-Hua Lin; Xiao-Bin Wu; Ying-Hang Liu; Sheng-Hua Xiao; Guo-Hui Zhou; Ru-Kai Chen; Hua-Ying Fu; San-Ji Gao


European Journal of Plant Pathology | 2016

Molecular characterization of two divergent variants of sugarcane bacilliform viruses infecting sugarcane in China

Sheng-Ren Sun; Mona B. Damaj; Olufemi J. Alabi; Xiao-Bin Wu; T. Erik Mirkov; Hua-Ying Fu; Ru-Kai Chen; San-Ji Gao

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San-Ji Gao

Fujian Agriculture and Forestry University

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Ru-Kai Chen

Fujian Agriculture and Forestry University

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Sheng-Ren Sun

Fujian Agriculture and Forestry University

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Xiao-Bin Wu

Fujian Agriculture and Forestry University

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Yi-Hua Lin

Fujian Agriculture and Forestry University

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Liping Xu

Fujian Agriculture and Forestry University

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Wei-Lin Fu

Fujian Agriculture and Forestry University

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