开发和应用一个基于TaqMan探针的qPCR检测试验,用于检测虫伪造虫
Li Yan1, Zhiwei Mao2, Meixin Yang3
1Chinese Academy of Agricultural Sciences Institute of Plant Protection, Beijing, Beijing, China; mirror_dis@126.com.
Phytopathology
|February 6, 2026
概括
一种新的TaqMan qPCR测定有效检测Fusarium pseudograminearum,这是小麦中Fusarium冠 (FCR) 的原因. 赛克罗巴特里弗鲁拉姆种子处理抑制了病原体生物量,与特布可纳不同,为FCR管理提供了洞察力.
科学领域:
- 植物病理学 植物病理学
- 分子生物学分子生物学
- 农业科学 农业科学
背景情况:
- 菌冠 (FCR) 是中国黄海小麦地区日益严重的威胁.
- 虫 (Fusarium pseudograminearum) 是导致FCR的主要病原体.
研究的目的:
- 开发一种特定而敏感的TaqMan qPCR试验,用于检测F. pseudograminearum.
- 研究小麦和土壤中F. pseudograminearum的季节性动态.
- 评估种子处理对FCR的有效性.
主要方法:
- 开发了一种针对FpAH1基因的TaqMan qPCR试验.
- 对多种真菌物种的验证测试特异性.
- 在两个生长季节的病原体动态监测,使用未经处理的,tebuconazole和cyclobutrifluram种子处理.
主要成果:
- 在qPCR测定显示高效率 (105.3%) 和一个低的LOD (1×102副本/μL).
- 赛克罗巴特里弗鲁拉姆显著降低了小麦植物中的F. pseudograminearum生物量.
- 德布可纳没有显著影响;病原体生物量在治疗过程中在季节晚期达到峰值.
结论:
- 为检测F. pseudograminearum建立了一个可靠的qPCR试验.
- 描述了小麦和土壤中的病原体动态,为FCR控制策略提供了信息.
- 赛克罗巴特里弗鲁拉姆在小麦种植中管理FCR方面表现有前途.
相关概念视频
Detection of Gross Error: The Q Test
7.0K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
7.0K
Detection of Black Holes
2.6K
Although black holes were theoretically postulated in the 1920s, they remained outside the domain of observational astronomy until the 1970s.
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
Their closest cousins are neutron stars, which are composed almost entirely of neutrons packed against each other, making them extremely dense. A neutron star has the same mass as the Sun but its diameter is only a few kilometers. Therefore, the escape velocity from their surface is close to the speed of light.
Not until the 1960s, when the first neutron...
2.6K
Difference from Background: Limit of Detection
8.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
8.4K
Effects of EDTA on End-Point Detection Methods
667
Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
667
Types of Errors: Detection and Minimization
11.4K
Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
Absolute error in a measurement is the numerical difference from the true or central value. Relative error is the ratio between absolute error and the true or central value, expressed as a percentage.
Errors can be classified by source, magnitude, and sign. There are three types of errors: systematic, random, and gross.
Systematic or...
11.4K
Precipitation Titration: Endpoint Detection Methods
6.0K
In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...
In the Volhard method, a standard excess of AgNO3 is first added to the...
6.0K


