Evaluation of Metabarcoding Methods for Plant Disease Surveillance
收藏agdatacommons.nal.usda.gov2024-09-29 更新2025-01-21 收录
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https://agdatacommons.nal.usda.gov/articles/dataset/Evaluation_of_Metabarcoding_Methods_for_Plant_Disease_Surveillance/25090805/1
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The goal of this study was to evaluate two recently published universal primer sets targeting the DNA gyrase and RNA polymerase beta sub-unit genes (gyrB and rpoB respectively), relative to a plant discriminating 16S primer set (799F/115R) as disease surveillance tools. The primer sets were evaluated with a mock community of plant pathogenic bacteria and naturally infected citrus variegated chlorosis samples. Further validation of the gyrB metabarcoding method was carried out with additional spiked and naturally infected environmental DNA samples. This study aims to increase the accessibility of high-throughput sequencing for the general diagnostics and surveillance of plant-bacterial pathogens.
本研究旨在评估针对DNA解旋酶和RNA多聚酶β亚基基因(分别对应gyrB和rpoB)的两种近期公开发表的通用引物集,相对于植物16S引物集(799F/115R)在疾病监测工具中的应用。该引物集在模拟的植物病原细菌群落和自然感染的柑橘花叶黄化病样本中进行了评估。此外,通过对额外掺有和自然感染的环环境DNA样本的gyrB metabarcoding方法进行了进一步验证。本研究旨在提升高通量测序技术在植物细菌病原体通用诊断和监测中的可及性。
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