2015
DOI: 10.1039/c5an00213c
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Assignment of Colletotrichum coccodes isolates into vegetative compatibility groups using infrared spectroscopy: a step towards practical application

Abstract: Colletotrichum coccodes (C. coccodes) is a pathogenic fungus that causes anthracnose on tomatoes and black dot disease in potatoes. It is considered as a seed tuber and soil-borne pathogen that is difficult to control. C. coccodes isolates are classified into Vegetative Compatibility Groups (VCGs). Early classification of isolates into VCGs is of great importance for a better understanding of the epidemiology of the disease and improving its control. Moreover, the differentiation among these isolates and the a… Show more

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Cited by 13 publications
(10 citation statements)
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“…The complementation tests are performed in liquid media in 96-well plates, a method that saves materials, labor, and time, compared to conventional pairings on solid media. Another newly developed technique for determining VCGs dispenses with the nit mutant system altogether, instead relying on spectroscopic analysis to group isolates into VCGs [ 58 ]. Though not yet widely used, these new techniques may transform the way vegetative compatibility testing is performed.…”
Section: Vegetative Compatibilitymentioning
confidence: 99%
“…The complementation tests are performed in liquid media in 96-well plates, a method that saves materials, labor, and time, compared to conventional pairings on solid media. Another newly developed technique for determining VCGs dispenses with the nit mutant system altogether, instead relying on spectroscopic analysis to group isolates into VCGs [ 58 ]. Though not yet widely used, these new techniques may transform the way vegetative compatibility testing is performed.…”
Section: Vegetative Compatibilitymentioning
confidence: 99%
“…Using 13 PCs it was possible to achieve a classification success rate in excess of 96%. Keeping in mind that the infections with these herpes viruses are biologically similar, these results are considered very good [ 40 , 79 82 ]. In the second strategy, the classification procedure was performed in two stages.…”
Section: Discussionmentioning
confidence: 99%
“…The hypotheses of these studies are based on the capability of infrared spectroscopy to monitor minor biochemical changes in biological samples associated with the initiation of abnormality due to its high sensitivity [36]. Machine learning algorithms were used to analyze the midinfrared absorption spectra and classify them into their appropriate categories [50,[53][54][55]. Machine learning algorithms were used to analyze the midinfrared absorption spectra and classify them into their appropriate categories [50,[53][54][55].…”
Section: The T-cells Are Divided Into Two Types Helper T-cells (Cd +mentioning
confidence: 99%
“…Thus, we hypothesize that the biochemical changes in leukocytes resulting from the different responses of the human immune system to viral and bacterial infections can be monitored by FTIR spectroscopy for FPOPs under chemotherapy treatment. Machine learning algorithms were used to analyze the midinfrared absorption spectra and classify them into their appropriate categories [50,[53][54][55]. In this study, we used infrared spectroscopy with machine learning algorithms to diagnose the etiology of the sample as bacterial or viral.…”
Section: The T-cells Are Divided Into Two Types Helper T-cells (Cd +mentioning
confidence: 99%