Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Peiqing Liu is active.

Publication


Featured researches published by Peiqing Liu.


Canadian Journal of Microbiology | 2014

Development and evaluation of ITS- and aflP-based LAMP assays for rapid detection of Aspergillus flavus in food samples

Peiqing Liu; Benjin Li; Rongmei Yin; Qiyong Weng; Qinghe Chen

Aspergillus flavus is a common filamentous fungus that produces aflatoxins and presents a major threat to agriculture and human health. Previous studies focused mainly on the detection of A. flavus or aflatoxin separately. Here, we developed internal transcribed spacer (ITS)- and aflP-based rapid detection of A. flavus in food samples using the loop-mediated isothermal amplification (LAMP) method. The ITS1-5.8S-ITS2 rDNA region of A. flavus and the aflatoxin-encoding gene aflP were used as target regions. The detection limits of A. flavus and aflP were 10 fg and 1 pg pure DNA, respectively, which allows aflatoxin-contaminated samples to be differentiated from infected samples and reduces false-negative or false-positive results. For specificity testing, DNA extracted from 7 A. flavus, 5 different Aspergillus spp., and 21 other fungi were used, and our results showed that A. flavus strains are detected by ITS-based detection and aflatoxigenic A. flavus strains are detected by aflP-based detection. Furthermore, the ITS- and aflP-based LAMP assays were used for detection analysis of DNA from food samples artificially and naturally contaminated with A. flavus. Our results showed that the detection rate of A. flavus based on the multi-ITS-based LAMP detection is 100% and that the aflatoxigenic strains in all A. flavus are detected by the aflP-based LAMP assay. The LAMP protocol described in our study represents a rapid and highly specific and sensitive diagnostic method for A. flavus detection, which can be used as a diagnostic tool that simplifies A. flavus monitoring and guarantees the quality and safety of foods.


Frontiers in Microbiology | 2016

The L-type Ca2+ Channel Blocker Nifedipine Inhibits Mycelial Growth, Sporulation, and Virulence of Phytophthora capsici

Peiqing Liu; Jie Gong; Xueling Ding; Yue Jiang; Guoliang Chen; Benjin Li; Qiyong Weng; Qinghe Chen

The oomycete vegetable pathogen Phytophthora capsici causes significant losses of important vegetable crops worldwide. Calcium and other plant nutrients have been used in disease management of oomycete pathogens. Calcium homeostasis and signaling is essential for numerous biological processes, and Ca2+ channel blockers prevent excessive Ca2+ influx into the fungal cell. However, it is not known whether voltage-gated Ca2+ channel blockers improve control over oomycete pathogens. In the present study, we compared the inhibitory effects of CaCl2 and the extracellular Ca2+ chelator EDTA on mycelial growth and found that calcium assimilation plays a key role in P. capsici mycelial growth. Next, we involved the voltage-gated Ca2+ channel blockers verapamil (VP) and nifedipine (NFD) to analyze the effect of Ca2+ channel blockers on mycelial growth and sporulation; the results suggested that NFD, but not VP, caused significant inhibition. Ion rescue in an NFD-induced inhibition assay suggested that NFD-induced inhibition is calcium-dependent. In addition, NFD increased P. capsici sensitivity to H2O2 in a calcium-dependent manner, and extracellular calcium rescued it. Furthermore, NFD inhibited the virulence and gene expression related to its pathogenicity. These results suggest that NFD inhibits mycelial growth, sporulation, and virulence of P. capsici.


Canadian Journal of Plant Pathology-revue Canadienne De Phytopathologie | 2015

Loop-mediated isothermal amplification assay for sensitive and rapid detection of Phytophthora capsici

Zhongmei Dong; Peiqing Liu; Benjin Li; Guoliang Chen; Qiyong Weng; Qinghe Chen

Abstract Phytophthora capsici is an oomycete plant pathogen that infects peppers, tomatoes, and other agronomic and ornamental crops of the Solanaceae and Cucurbitaceae families worldwide. Early and accurate detection of P. capsici is essential for controlling this disease in the field. The internal transcribed spacer (ITS) regions of nuclear-encoded ribosomal DNA genes are widely used to detect Phytophthora nicotianae, Pythium helicoides and Peronospora variabilis. In this study, a novel and highly sensitive loop-mediated isothermal amplification (LAMP) assay was developed for the specific detection of P. capsici using calcein as a fluorescent indicator. Four LAMP primers were designed based on the ITS sequence of P. capsici. A total of 23 isolates of P. capsici from geographically distinct counties in China yielded positive results in the LAMP assay. No cross-reaction was observed with other oomycetes or fungal pathogens. The detection limit of P. capsici by LAMP was 100 fg genomic DNA per 25 μL reaction. The LAMP assay developed in this study is simple, fast, sensitive and specific, and can be used in the field to detect P. capsici in infected plant tissue.


Plant Pathology | 2017

Genetic analysis of Phytophthora sojae populations in Fujian, China

Minliang Wu; Benjin Li; Peiqing Liu; Qiyong Weng; Jiasui Zhan; Qinghe Chen

&NA; Phytophthora sojae is a destructive soilborne pathogen causing seedling damping‐off and root rot of soybean (Glycine max). The goal of this study was to determine the genetic structure of P. sojae populations in Fujian, China. Nine microsatellite markers were used to investigate the genetic variation in 19 P. sojae populations, sampled from Fujian Province and northeastern China (Jilin and Heilongjiang Provinces) between 2002 and 2013. Overall, a low genetic diversity, Hardy‐Weinberg disequilibrium, and an Symbol index (an index of association) that was significantly different from zero were detected in populations; these results were consistent with self‐fertilization and clonal modes of reproduction for this pathogen. However, using Bayesian Markov chain Monte Carlo approach, principal component analysis and neighbour joining (NJ) algorithm, the Fujian P. sojae populations clustered into three distinct groups, one of which included most isolates of the northeast populations. What is more, significant estimates of pairwise fixation indices (FST) were detected between most populations, especially in different clusters. It is hypothesized that the cropping system used, the limited dispersal ability, and human‐mediated gene flow may account for the observed genetic structure of P. sojae populations in Fujian, China. In addition, a high virulence frequency of the pathogen on different cultivars carrying known major R genes for resistance, and a rapid increase in virulence frequency, indicated that these major R genes should not be used to manage seedling damping‐off and root rot diseases of soybean (Glycine max). Symbol. No caption available.


Frontiers in Microbiology | 2018

Comparative Evaluation of the LAMP Assay and PCR-Based Assays for the Rapid Detection of Alternaria solani

Mehran Khan; Rongbo Wang; Benjin Li; Peiqing Liu; Qiyong Weng; Qinghe Chen

Early blight (EB), caused by the pathogen Alternaria solani, is a major threat to global potato and tomato production. Early and accurate diagnosis of this disease is therefore important. In this study, we conducted a loop-mediated isothermal amplification (LAMP) assay, as well as conventional polymerase chain reaction (PCR), nested PCR, and quantitative real-time PCR (RT-qPCR) assays to determine which of these techniques was less time consuming, more sensitive, and more accurate. We based our assays on sequence-characterized amplified regions of the histidine kinase gene with an accession number (FJ424058). The LAMP assay provided more rapid and accurate results, amplifying the target pathogen in less than 60 min at 63°C, with 10-fold greater sensitivity than conventional PCR. Nested PCR was 100-fold more sensitive than the LAMP assay and 1000-fold more sensitive than conventional PCR. qPCR was the most sensitive among the assays evaluated, being 10-fold more sensitive than nested PCR for the least detectable genomic DNA concentration (100 fg). The LAMP assay was more sensitive than conventional PCR, but less sensitive than nested PCR and qPCR; however, it was simpler and faster than the other assays evaluated. Despite of the sensitivity, LAMP assay provided higher specificity than qPCR. The LAMP assay amplified A. solani artificially, allowing us to detect naturally infect young potato leaves, which produced early symptoms of EB. The LAMP assay also achieved positive amplification using diluted pure A. solani culture instead of genomic DNA. Hence, this technique has greater potential for developing quick and sensitive visual detection methods than do other conventional PCR strategies for detecting A. solani in infected plants and culture, permitting early prediction of disease and reducing the risk of epidemics.


European Journal of Plant Pathology | 2013

Development of a loop-mediated isothermal amplification assay for rapid and sensitive detection of Fusarium oxysporum f. sp. cubense race 4

Benjin Li; Jialiang Du; Chengzhong Lan; Peiqing Liu; Qiyong Weng; Qinghe Chen


European Journal of Plant Pathology | 2013

Development and evaluation of specific PCR and LAMP assays for the rapid detection of Phytophthora melonis

Qinghe Chen; Benjin Li; Peiqing Liu; Chengzhong Lan; Zhixiong Zhan; Qiyong Weng


Journal of Phytopathology | 2015

Specific and Sensitive Detection of Phytophthora nicotianae by Nested PCR and Loop‐mediated Isothermal Amplification Assays

Benjin Li; Peiqing Liu; Shiyong Xie; Rongmei Yin; Qiyong Weng; Qinghe Chen


Australasian Plant Pathology | 2013

Development of a specific PCR assay for the rapid and sensitive detection of Phytophthora capsici

Chengzhong Lan; Peiqing Liu; Benjin Li; Qinghe Chen; Qiyong Weng


Plant Disease | 2016

First Report of Culm Rot Caused by Arthrinium phaeospermum on Phyllostachys viridis in China

Benjin Li; Peiqing Liu; Y. Jiang; Qiyong Weng; Qinghe Chen

Collaboration


Dive into the Peiqing Liu's collaboration.

Top Co-Authors

Avatar

Qiyong Weng

Fujian Agriculture and Forestry University

View shared research outputs
Top Co-Authors

Avatar

Qinghe Chen

Fujian Agriculture and Forestry University

View shared research outputs
Top Co-Authors

Avatar

Qinghe Chen

Fujian Agriculture and Forestry University

View shared research outputs
Top Co-Authors

Avatar

Guoliang Chen

Fujian Agriculture and Forestry University

View shared research outputs
Top Co-Authors

Avatar

Jiasui Zhan

Fujian Agriculture and Forestry University

View shared research outputs
Top Co-Authors

Avatar

Mehran Khan

Fujian Agriculture and Forestry University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Yue Jiang

Fujian Agriculture and Forestry University

View shared research outputs
Top Co-Authors

Avatar

Zhongmei Dong

Fujian Agriculture and Forestry University

View shared research outputs
Researchain Logo
Decentralizing Knowledge