Accurate detection of chestnut ink disease causing Phytophthora katsurae by nested PCR

2012 ◽  
Vol 41 (5) ◽  
pp. 535-539 ◽  
Author(s):  
Dong Hyeon Lee ◽  
Sun Keun Lee ◽  
Sang Hyun Lee ◽  
Sang Yong Lee ◽  
Jong Kyu Lee
Foods ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 261
Author(s):  
Carolina N. Resendiz-Nava ◽  
Guadalupe E. Orozco-Mosqueda ◽  
Edmundo M. Mercado-Silva ◽  
Susana Flores-Robles ◽  
Hilda V. Silva-Rojas ◽  
...  

Due to recent outbreaks of cyclosporiasis associated with consumption of fresh berries, producers are demanding modern microbiological tools for the rapid and accurate identification of the human pathogen Cyclospora cayetanensis in berries and environmental samples. The aim of the present work was to develop a molecular tool based on a PCR approach for the rapid and accurate detection of C. cayetanensis. A nested PCR assay was validated for the amplification of a 294 bp size region of the 18S rRNA gene from C. cayetanensis. The limit of detection for the nested PCR assay was validated using 48 berry samples spiked with ~0, 10, 100, and 1000 oocyst per gram of sample. With this assay, it was possible to detect as few as 1 oocyst per gram of berry, in a 50 g sample. Sanger DNA sequencing and phylogenetic analysis were carried out to confirm the presence of C. cayetanensis in berry (n = 17) and soil (n = 5) samples. The phylogenetic analysis revealed that the C. cayetanensis sequences obtained from Mexico clustered within a group recovered from China, Peru, Guatemala-Haiti, and Japan. The PCR protocol designed in the present study could be an important tool for the rapid and accurate detection of this human pathogen in environmental and food samples.


PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0206462 ◽  
Author(s):  
Shuqin Wei ◽  
Yajuan Sun ◽  
Guangsheng Xi ◽  
Huijuan Zhang ◽  
Mingya Xiao ◽  
...  

2018 ◽  
Vol 1 (1) ◽  
pp. 236-247
Author(s):  
Divya Srivastava ◽  
Rajitha B. ◽  
Suneeta Agarwal

Diseases in leaves can cause the significant reduction in both quality and quantity of agricultural production. If early and accurate detection of disease/diseases in leaves can be automated, then the proper remedy can be taken timely. A simple and computationally efficient approach is presented in this paper for disease/diseases detection on leaves. Only detecting the disease is not beneficial without knowing the stage of disease thus the paper also determine the stage of disease/diseases by quantizing the affected of the leaves by using digital image processing and machine learning. Though there exists a variety of diseases on leaves, but the bacterial and fungal spots (Early Scorch, Late Scorch, and Leaf Spot) are the most prominent diseases found on leaves. Keeping this in mind the paper deals with the detection of Bacterial Blight and Fungal Spot both at an early stage (Early Scorch) and late stage (Late Scorch) on the variety of leaves. The proposed approach is divided into two phases, in the first phase, it identifies one or more disease/diseases existing on leaves. In the second phase, amount of area affected by the disease/diseases is calculated. The experimental results obtained showed 97% accuracy using the proposed approach.


Author(s):  
P. Larré ◽  
H. Tupin ◽  
C. Charles ◽  
R.H. Newton ◽  
A. Reverdy

Abstract As technology nodes continue to shrink, resistive opens have become increasingly difficult to detect using conventional methods such as AVC and PVC. The failure isolation method, Electron Beam Absorbed Current (EBAC) Imaging has recently become the preferred method in failure analysis labs for fast and highly accurate detection of resistive opens and shorts on a number of structures. This paper presents a case study using a two nanoprobe EBAC technique on a 28nm node test structure. This technique pinpointed the fail and allowed direct TEM lamella.


2013 ◽  
Vol 20 (4) ◽  
pp. 808-815
Author(s):  
Di ZHANG ◽  
Keng YANG ◽  
Youlu SU ◽  
Juan FENG ◽  
Zhixun GUO
Keyword(s):  
Mud Crab ◽  

2013 ◽  
Vol 18 (3) ◽  
pp. 661-666
Author(s):  
Min ZHANG ◽  
Xiangmei LIN ◽  
Yuin JIANG

Author(s):  
Jasem Saki ◽  
Karim Mowla ◽  
Reza Arjmand ◽  
Forough Kazemi ◽  
Somayeh Fallahizadeh

Introduction: Parasitic myositis is caused by some parasites such as T. gondii and T. canis. So, the aim of the study was to evaluate the prevalence T. gondii and T. canis in patients with myositis and healthy individuals. Methods: A total of 108 samples were randomly selected as the control (54 healthy individuals) and test (54 myositis patients) groups. IgG and IgM antibodies against T. gondii and IgG antibodies against T. canis were measured by the ELISA. The detection of chronic and acute toxoplasmosis was performed by the ELISA IgG avidity. The presence of T. gondii in blood was evaluated by the nested-PCR. Results: Of 108, 33 (30.6%) cases were detected positive for IgG against T. gondii that 19 (35.2%) and 14 (25.9%) were observed in myositis patients and healthy individuals, respectively (P=0.296). Of 19 positive cases, 12 (63.2%) and 7 (36.8%) cases were detected as chronic and acute toxoplasmosis, respectively, while, all positive cases in the control group had chronic toxoplasmosis (P=0.013). One (1.9%) sample was detected positive for anti- Toxoplasma gondii IgM and two (3.7%) samples were found positive for IgG against T. canis by the ELISA that these positive cases were observed only in myositis patients (P=1.000 P=0.495, respectively). B1 T. gondii gene was amplified in 12 (63.2%) and 1 (7.1%) in myositis patients and healthy subjects (P=0.001). Conclusions: Our findings showed that there was a relatively high prevalence of acute toxoplasmosis in myositis patients in comparison with the control subjects in southwest of Iran.


2012 ◽  
Vol 7 (5) ◽  
pp. 215-216
Author(s):  
David C. Holzman
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document