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Distinction of Fusarium oxysporum fungal isolates (strains) using FTIR-ATR spectroscopy and advanced statistical methods
Year:
2011
Source of publication :
Analyst
Authors :
Tsror, Leah
;
.
Volume :
136
Co-Authors:
Salman, A., Department of Physics, SCE-Sami Shamoon College of Engineering, Beer-Sheva 84100, Israel
Pomerantz, A., Department of Virology and Developmental Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
Tsror, L., Department of Plant Pathology, Institute of Plant Protection, Agricultural Research Organization, Gilat Experiment Station, M.P. Negev 85250, Israel
Lapidot, I., Department of Electrical and Electronics Engineering, SCE-Sami Shamoon College of Engineering, Ashdod 77245, Israel
Zwielly, A., Department of Physics, Ben-Gurion University, Beer-Sheva 84105, Israel
Moreh, R., Department of Physics, Ben-Gurion University, Beer-Sheva 84105, Israel
Mordechai, S., Department of Physics, Ben-Gurion University, Beer-Sheva 84105, Israel
Huleihel, M., Department of Virology and Developmental Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
Facilitators :
From page:
988
To page:
995
(
Total pages:
8
)
Abstract:
Fusarium is a large fungi genus of a large variety of species and strains which inhabits soil and vegetation. It is distributed worldwide and affiliated to both warm and cold weather. Fusarium oxysporum species, for instance, cause the Fusarium wilt disease of plants, which appears as a leaf wilting, yellowing and eventually plant death. Early detection and identification of these pathogens are very important and might be critical for their control. Previously, we have managed to differentiate among different fungi genera (Rhizoctonia, Colletotrichum, Verticillium and Fusarium) using FTIR-ATR spectroscopy methods and cluster analysis. In this study, we used Fourier-transform infrared (FTIR) attenuated total reflection (ATR) spectroscopy to discriminate and differentiate between different strains of F. oxysporum. The result obtained was of spectral patterns distinct to each of the various examined strains, which belong to the same species. These differences were not as significant as those found between the different genera species. We applied advanced statistical techniques: principal component analysis (PCA) and linear discriminant analysis (LDA) on the FTIR-ATR spectra in order to examine the feasibility of distinction between these fungi strains. The results are encouraging and indicate that the FTIR-ATR methodology can differentiate between the different examined strains of F. oxysporum with a high success rate. Based on our PCA and LDA calculations performed in the regions [900-1775 cm -1, 2800-2990 cm-1, with 9 PCs], we were able to classify the different strains with high success rates: Foxy1 90%, Foxy2 100%, Foxy3 100%, Foxy4 92.3%, Foxy5 83.3% and Foxy6 100%. © 2011 The Royal Society of Chemistry.
Note:
Related Files :
Algorithms
discriminant analysis
fungi
Fusarium
Genetics
infrared spectroscopy
Statistics as Topic
Show More
Related Content
More details
DOI :
10.1039/c0an00801j
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
24186
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:05
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Scientific Publication
Distinction of Fusarium oxysporum fungal isolates (strains) using FTIR-ATR spectroscopy and advanced statistical methods
136
Salman, A., Department of Physics, SCE-Sami Shamoon College of Engineering, Beer-Sheva 84100, Israel
Pomerantz, A., Department of Virology and Developmental Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
Tsror, L., Department of Plant Pathology, Institute of Plant Protection, Agricultural Research Organization, Gilat Experiment Station, M.P. Negev 85250, Israel
Lapidot, I., Department of Electrical and Electronics Engineering, SCE-Sami Shamoon College of Engineering, Ashdod 77245, Israel
Zwielly, A., Department of Physics, Ben-Gurion University, Beer-Sheva 84105, Israel
Moreh, R., Department of Physics, Ben-Gurion University, Beer-Sheva 84105, Israel
Mordechai, S., Department of Physics, Ben-Gurion University, Beer-Sheva 84105, Israel
Huleihel, M., Department of Virology and Developmental Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
Distinction of Fusarium oxysporum fungal isolates (strains) using FTIR-ATR spectroscopy and advanced statistical methods
Fusarium is a large fungi genus of a large variety of species and strains which inhabits soil and vegetation. It is distributed worldwide and affiliated to both warm and cold weather. Fusarium oxysporum species, for instance, cause the Fusarium wilt disease of plants, which appears as a leaf wilting, yellowing and eventually plant death. Early detection and identification of these pathogens are very important and might be critical for their control. Previously, we have managed to differentiate among different fungi genera (Rhizoctonia, Colletotrichum, Verticillium and Fusarium) using FTIR-ATR spectroscopy methods and cluster analysis. In this study, we used Fourier-transform infrared (FTIR) attenuated total reflection (ATR) spectroscopy to discriminate and differentiate between different strains of F. oxysporum. The result obtained was of spectral patterns distinct to each of the various examined strains, which belong to the same species. These differences were not as significant as those found between the different genera species. We applied advanced statistical techniques: principal component analysis (PCA) and linear discriminant analysis (LDA) on the FTIR-ATR spectra in order to examine the feasibility of distinction between these fungi strains. The results are encouraging and indicate that the FTIR-ATR methodology can differentiate between the different examined strains of F. oxysporum with a high success rate. Based on our PCA and LDA calculations performed in the regions [900-1775 cm -1, 2800-2990 cm-1, with 9 PCs], we were able to classify the different strains with high success rates: Foxy1 90%, Foxy2 100%, Foxy3 100%, Foxy4 92.3%, Foxy5 83.3% and Foxy6 100%. © 2011 The Royal Society of Chemistry.
Scientific Publication
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