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Tsukiori, Y.

Publications and source records attributed to Tsukiori, Y..

2 recordsLinked to original sources

Bulk sample testing by real-time PCR for detecting Diaporthe destruens-infected seedlings of sweet potatoes

Foot rot disease of sweet potato is a fungal disease that causes serious damage to sweet potato production. It is especially important to check the health of seedlings as there is a risk that if the seed tubers or stem seedlings infected with foot rot pathogen are introduced into the production fields, it will rapidly spread throughout the fields. We have already developed a real-time PCR method to diagnose sweet potatoes contaminated with foot rot pathogen. In this study, to apply this method to the bulk sample testing, we provided examples on estimating the "probability of detection (POD)" for detecting bulk samples, and determining the number of subgroups and the number of samples in each subgroup for the bulk sample testing. Our results indicate that, for tubers, when testing between 100 and 1200 fragments per bulk sample, the lowest detection rate was approximately 81% at 800 fragments. For stems, when testing between 100 and 600 fragments, the lowest detection rate was approximately 83% at 500 fragments. Based on the estimated POD, the required sample size for bulk testing was calculated as follows: for the impermissible threshold proportion of contamination of infected plants (p) of 1%, between 390 and 624 samples are needed, while for p of 0.1%, between 3,840 and 6,228 samples are required. The bulk sample testing method using real-time PCR demonstrated in this study will become a powerful quality testing method for checking the health of sweet potato seedlings, and will make a significant contribution to sweet potato production.

plant biology↗

Evaluation of real-time PCR performance for detecting Diaporthe destruens in sweet potatoes

Sweet potato foot rot disease caused by Diaporthe destruens is a major threat to sweet potato production. Rapid and accurate detection in advance is essential to secure healthy plants or to implement effective control. In this study, we evaluated the detection performance of a real-time PCR method previously developed by our research group. The evaluation was conducted using sweet potato samples collected in the field, including those naturally infected with D. destruens. Based on the real-time PCR results and the actual occurrence of the disease, a receiver operating characteristic (ROC) curve was generated, and the area under the curve (AUC) was calculated. The AUC values ranged from 0.7041571 to 0.9204286, confirming that this real-time PCR method is a well-balanced detection method for both tubers and stems. Furthermore, to minimize the occurrence of false negatives, the cycle threshold (Ct) cutoff was set at 35, and detection performance (sensitivity, specificity, accuracy, etc.) was analyzed. Then, by considering abnormal melting temperature (Tm) values as negative, high accuracy was achieved, with values of 0.871212 for tubers and 0.715447 for stems. This study not only evaluated the detection performance of the real-time PCR for foot rot pathogens but also contributes to providing information on the methodology and significance of performance evaluation in various real-time PCR genetic detection methods.

plant biology↗