Development of a Taqman system for molecular detection of race 4 Fusarium oxysporum F. sp. vasinfectum

Aim. To develop specific TaqMan system for Fusarium oxysporum f. sp. vasinfectum (FOV) fungus race 4 molecular detection, the causative agent of Fusarium wilt of cotton (Gossypium L.), by real-time polymerase chain reaction. Methods. Bioinformatic analysis of nucleotide sequences of the PHO (phosphate permease) and NAT (N-acetyltransferase) genes containing insertions of mobile genetic elements (types Tfo1, MULE and MITE). Design of the internal TaqMan probe was performed using the Primer3 tool. Specificity of the developed system was verified in silico using the Primer-BLAST tool. Previously published primers FOV4 A3-2018 were used in the work. Results. Based on the conserved region of the transposase gene inside the mobile element Tfo1, an internal TaqMan probe was developed, optimized for use with the primers FOV4 A3-2018. In silico PCR confirmed the specificity of the system. Conclusions. The developed TaqMan system is a reliable, theoretically substantiated tool for the FOV race 4 identification, based on the in silico analysis results. System’s specificity, confirmed by bioinformatics, allows proceeding to its in vitro laboratory validation on FOV collection and natural strains, for phytosanitary control enhancement and epiphytotics of Fusarium wilt of cotton prevention.

Authors

Institutions

Publication Details

Journal
Faktori eksperimental noi evolucii organizmiv
Published
2026-11-03
DOI
https://doi.org/10.7124/feeo.v39.1846
Primary Topic
Plant Pathogens and Fungal Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a Taqman system for molecular detection of race 4 Fusarium oxysporum F. sp. vasinfectum

Н. Е. Волкова, Г. І. Сліщук, H. I. Drozdov
Faktori eksperimental noi evolucii organizmiv
Plant Pathogens and Fungal Diseases
article

Development of a Taqman system for molecular detection of race 4 Fusarium oxysporum F. sp. vasinfectum

Н. Е. Волкова, Г. І. Сліщук, H. I. Drozdov
article en

Abstract

Aim. To develop specific TaqMan system for Fusarium oxysporum f. sp. vasinfectum (FOV) fungus race 4 molecular detection, the causative agent of Fusarium wilt of cotton (Gossypium L.), by real-time polymerase chain reaction. Methods. Bioinformatic analysis of nucleotide sequences of the PHO (phosphate permease) and NAT (N-acetyltransferase) genes containing insertions of mobile genetic elements (types Tfo1, MULE and MITE). Design of the internal TaqMan probe was performed using the Primer3 tool. Specificity of the developed system was verified in silico using the Primer-BLAST tool. Previously published primers FOV4 A3-2018 were used in the work. Results. Based on the conserved region of the transposase gene inside the mobile element Tfo1, an internal TaqMan probe was developed, optimized for use with the primers FOV4 A3-2018. In silico PCR confirmed the specificity of the system. Conclusions. The developed TaqMan system is a reliable, theoretically substantiated tool for the FOV race 4 identification, based on the in silico analysis results. System’s specificity, confirmed by bioinformatics, allows proceeding to its in vitro laboratory validation on FOV collection and natural strains, for phytosanitary control enhancement and epiphytotics of Fusarium wilt of cotton prevention.

Faktori eksperimental noi evolucii organizmivVol. 39
Institute of Climate-Smart Agriculture of the National Academy of Agrarian Sciences of Ukraine (UA)
Openalex Percentile: Top 18%
Plant Pathogens and Fungal Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon