俄勒冈种草中 Anguina 种瘿线虫分子鉴定和形态鉴定方法的比较

Hannah M. Rivedal, Todd N. Temple, Robert J. Starchvick, Emily Braithwaite, Sarah R. Lowder, Seth J. Dorman, L. A. Núñez Rodríguez, A. Peetz, Inga A. Zasada
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摘要

俄勒冈州的草籽业专门生产牧草,包括一年生黑麦草(Lolium multiflorum)和果园草(Dactylis glomerata)。这些草种是种瘿线虫 (SGN) 的寄主:SGN 可导致限制产量的种瘿,还可传播有毒的 Rathayibacter 细菌。贸易伙伴有严格的植物检疫规定,因此会拒收受 SGN 侵染的种子批次。目前检测 SGN 的最佳方法侧重于收获后的种子评估。在收获前对田间进行评估的方法可以改进风险管理决策。在这项研究中,我们评估了时机、采集和检测方法,为整个生长季节的 SGN 检测提出了新的建议。在 2022 年和 2023 年的生长季节,分别于分蘖期(3 月)、开花期(5 月)、收获期(7 月)和发芽期(11 月)对一年生黑麦草(21)和果园草(7)的田块进行了采样。在每个时间点,都采集了分蘖、种子头或土壤样本。采用传统线虫学方法从土壤、分蘖和种子头样品中提取线虫。另外,还对从分蘖或种子头部提取的 DNA 进行了 SGN 特异性实时和传统 PCR 方案评估。根据取样时间和年份的不同,采用传统线虫学方法从分蘖中直接计数 SGN,结果有 11-19% 的田块检测到阳性结果,而采用分子方法则有 33-44% 的田块检测到阳性结果。使用这两种方法评估种子头部样本时,有 40% 的田块检测到 SGN。这项研究表明,采用分子方法对 SGN 进行风险评估非常有用,并为在整个生长季节准确检测 SGN 提供了建议。
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Comparison of molecular and morphological identification methods for Anguina seed gall nematodes in Oregon grasses grown for seed
Oregon’s grass seed industry specializes in the production of forage grasses, including annual ryegrass (Lolium multiflorum) and orchardgrass (Dactylis glomerata). These species are hosts of seed gall nematodes (SGN): Anguina funesta and Anguina sp. SGN cause yield-limiting seed galls and can also vector toxic Rathayibacter bacteria. Trade partners have strict phytosanitary regulations leading to rejection of seed lots infested with SGN. Current best practices for SGN detection focus on post-harvest seed evaluation. Methods to evaluate fields before harvest could improve risk management decisions. In this study, we evaluated timing, collection, and detection methods to generate new recommendations for SGN detection throughout the growing season. Fields of annual ryegrass (21) and orchardgrass (7) were sampled in the 2022 and 2023 growing seasons at tillering (March), flowering (May), harvest (July), and germination (November). At each time point, tillers, seed heads or soil samples were collected. Nematodes were extracted from soil, tiller, and seed head samples using traditional nematology methods. Alternatively, SGN-specific real-time and conventional PCR protocols were evaluated on DNA extracted from tillers or seed heads. Direct enumeration of SGN from tillers with traditional nematology methods resulted in positive detections in 11-19% of fields depending on sample time and year as opposed to 33-44% of fields when using molecular methods. SGN were detected in 40% of fields using both methods when evaluating seed head samples. This study indicates the utility of incorporating molecular methods for risk evaluations of SGN and provides recommendations for the accurate detection of SGN throughout the growing season.
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