Back

Development of a qPCR assay and a LAMP assay for Verticillium longisporum detection and a triplex qPCR assay for simultaneous detection of V. longisporum, Leptosphaeria biglobosa and L. maculans from canola samples

Fu, H.; Yang, Y.; Jiang, J.; Daniels, G.; Hill, B.; Xue, S.; Zahr, K.; Stellar, L.; Harding, M.; Feindel, D.; Bvindi, C.; Fernando, D.; Wang, L.; Feng, J.

2024-02-05 microbiology
10.1101/2024.01.24.577072 bioRxiv
Show abstract

Verticillium wilt, Verticillium stem striping, and Verticillium stripe, are common disease names that all denote infection caused by Verticillium longisporum, on canola, or other Brassica crops. In this study, a quantitative PCR (qPCR) assay and a loop-mediated isothermal amplification (LAMP) assay were developed for the detection of V. longisporum from canola stem samples. Both assays are specific to V. longisporum at the species level and ubiquitous at the strain level. The low limit for positive detection of the two assays is 1 pg fungal DNA in a 20-{micro} L reaction or 1,400 fungal cells in 100-mg plant tissue. The qPCR assay was combined with the duplex qPCR assay for the two blackleg pathogens, Leptosphaeria biglobosa and L. maculans to constitute a triplex qPCR system for simultaneous detection of all three pathogens. The usefulness of this triplex qPCR system was verified on canola samples collected from various locations in Alberta, Canada. Using this triplex qPCR system, V. longisporum was detected from one sample, while the two blackleg pathogens were detected at higher frequencies. Since it is sometimes difficult to differentiate Verticillium stripe and blackleg on Alberta canola samples based on visual symptoms, the triplex qPCR system is an important tool for the detection of V. longisporum, especially when its presence is masked or obscured by symptoms of blackleg.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Phytopathology®
28 papers in training set
Top 0.1%
22.8%
2
PLOS ONE
4510 papers in training set
Top 9%
18.8%
3
Plant Disease
21 papers in training set
Top 0.1%
6.9%
4
Pest Management Science
32 papers in training set
Top 0.2%
4.4%
50% of probability mass above
5
Frontiers in Microbiology
375 papers in training set
Top 2%
4.0%
6
Microbiology Spectrum
435 papers in training set
Top 0.8%
3.6%
7
Plant Pathology
16 papers in training set
Top 0.1%
3.6%
8
Journal of Microbiological Methods
11 papers in training set
Top 0.1%
3.6%
9
Applied and Environmental Microbiology
301 papers in training set
Top 1%
2.8%
10
Frontiers in Plant Science
240 papers in training set
Top 3%
1.9%
11
Scientific Reports
3102 papers in training set
Top 53%
1.9%
12
Microbiology Resource Announcements
22 papers in training set
Top 0.4%
1.3%
13
Fungal Genetics and Biology
14 papers in training set
Top 0.1%
1.3%
14
G3
33 papers in training set
Top 0.3%
1.2%
15
Journal of Clinical Microbiology
120 papers in training set
Top 1%
1.0%
16
Journal of Virological Methods
36 papers in training set
Top 0.5%
1.0%
17
Agronomy
18 papers in training set
Top 0.7%
0.9%
18
Plant Direct
81 papers in training set
Top 2%
0.8%
19
Journal of Fungi
31 papers in training set
Top 0.6%
0.8%
20
mSphere
281 papers in training set
Top 6%
0.7%
21
Access Microbiology
22 papers in training set
Top 0.7%
0.7%
22
New Phytologist
309 papers in training set
Top 5%
0.5%
23
International Journal of Food Microbiology
11 papers in training set
Top 0.8%
0.5%