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    다양한 Colletotrichum 종이 혼재된 고추탄저병균 집단의 QoI 저항성 모니터링을 위한 cDNA 기반 정량적 염기서열 분석법

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    https://www.riss.kr/link?id=A110385124

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    In response to recent changes in species diversity, we performed this study to improve the quantitative sequencing (QS) method to monitor Quinone-outside inhibitor (QoI) resistance in Colletotrichum populations causing chili pepper anthracnose. The conventional gDNA-based QS method had limitations in the amplification stability of certain species, such as the Colletotrichum gloeosporioides species complex, due to intron structure variations within the cytochrome b (cytb) gene. To overcome this, we developed an improved QS method with cDNA as a template and a universal primer set (RF-CYT1A/RF-CYT2B). Although the conventional method had a coefficient of determination (R²) of 0.8826 between actual resistance ratios and QS results when using artificial lesion samples for validation, our improved method significantly enhanced accuracy and reproducibility with an R² of 0.9973. Our improved cDNA-based QS system will be a valuable tool to rapidly and accurately monitor QoI resistance frequencies of diverse Colletotrichum species that coexist in field populations
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    In response to recent changes in species diversity, we performed this study to improve the quantitative sequencing (QS) method to monitor Quinone-outside inhibitor (QoI) resistance in Colletotrichum populations causing chili pepper anthracnose. The co...

    In response to recent changes in species diversity, we performed this study to improve the quantitative sequencing (QS) method to monitor Quinone-outside inhibitor (QoI) resistance in Colletotrichum populations causing chili pepper anthracnose. The conventional gDNA-based QS method had limitations in the amplification stability of certain species, such as the Colletotrichum gloeosporioides species complex, due to intron structure variations within the cytochrome b (cytb) gene. To overcome this, we developed an improved QS method with cDNA as a template and a universal primer set (RF-CYT1A/RF-CYT2B). Although the conventional method had a coefficient of determination (R²) of 0.8826 between actual resistance ratios and QS results when using artificial lesion samples for validation, our improved method significantly enhanced accuracy and reproducibility with an R² of 0.9973. Our improved cDNA-based QS system will be a valuable tool to rapidly and accurately monitor QoI resistance frequencies of diverse Colletotrichum species that coexist in field populations

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