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生物发光法作为一种量化细菌、筛选种质以及识别叶片表面感染途径的工具。

Bioluminescent pv. as a Tool to Quantify Bacteria , Screen Germplasm, and Identify Infection Routes on Leaf Surfaces.

作者信息

Bernal Eduardo, Deblais Loïc, Rajashekara Gireesh, Francis David M

机构信息

Department of Horticulture and Crop Science, Ohio Agricultural Research and Development Center, The Ohio State University, Wooster, OH, United States.

Food Animal Health Research Program, Ohio Agricultural Research and Development Center, The Ohio State University, Wooster, OH, United States.

出版信息

Front Plant Sci. 2021 Jun 15;12:667351. doi: 10.3389/fpls.2021.667351. eCollection 2021.

Abstract

Imaging technology can provide insight into biological processes governing plant-pathogen interactions. We created and used a bioluminescent strain of pv. (Xg) to quantify infection processes in plants using tomato as a model. An pv. is one of the four species that causes bacterial spots in tomatoes. We used Xg to quantify bacterial growth , to assess disease severity in resistant and susceptible tomato lines, and to observe infection routes in leaves. A positive and significant linear correlation r (67) = 0.57, ≤ 0.0001 was observed between bioluminescence signals emitted by Xg i and bacterial populations determined through dilution plating. Based on bioluminescence imaging, resistant and susceptible tomato lines had significantly different average radiances. In addition, there was a positive and significant correlation r = 0.45, p = 0.024 between pv. -inoculated tomato lines evaluated by bioluminescence imaging and tomatoes rated in the field using the Horsfall-Barrat Scale. Heritability was calculated to compare the genetic variance for disease severity using bioluminescence imaging and classical field ratings. The genetic variances were 25 and 63% for bioluminescence imaging and field ratings, respectively. The disadvantage of lower heritability attained by bioluminescence imaging may be offset by the ability to complete germplasm evaluation experiments within 30 days rather than 90-120 days in field trials. We further explored pv. infection routes on leaves using spray and dip inoculation techniques. Patterns of bioluminescence demonstrated that the inoculation technique affected the distribution of bacteria, an observation verified using scanning electron microscopy (SEM). We found significant non-random distributions of pv. on leaf surfaces with the method of inoculation affecting bacterial distribution on leaf surfaces at 4 h postinoculation (hpi). At 18 hpi, regardless of inoculation method, pv. localized on leaf edges near hydathodes based on bioluminescence imaging and confirmed by electron microscopy. These findings demonstrated the utility of bioluminescent pv. to estimate bacterial populations , to select for resistant germplasm, and to detect likely points of infection.

摘要

成像技术能够深入了解植物与病原体相互作用的生物学过程。我们构建并使用了一种pv. (Xg)的生物发光菌株,以番茄为模型来量化植物中的感染过程。pv. 是导致番茄细菌性斑点的四种物种之一。我们使用Xg来量化细菌生长,评估抗性和感病番茄品系中的病害严重程度,并观察叶片中的感染途径。在Xg i发出的生物发光信号与通过稀释平板法测定的细菌群体之间观察到正相关且显著的线性相关性r (67) = 0.57,≤ 0.0001。基于生物发光成像,抗性和感病番茄品系的平均辐射度有显著差异。此外,通过生物发光成像评估的pv. 接种番茄品系与使用霍斯福尔 - 巴拉特量表在田间评级的番茄之间存在正相关且显著的相关性r = 0.45,p = 0.024。计算遗传力以比较使用生物发光成像和经典田间评级的病害严重程度的遗传方差。生物发光成像和田间评级的遗传方差分别为25%和63%。生物发光成像获得的较低遗传力的缺点可能会被在30天内完成种质评估实验的能力所抵消,而不是像田间试验那样需要90 - 120天。我们进一步使用喷雾和浸蘸接种技术探索了pv. 在叶片上的感染途径。生物发光模式表明接种技术影响细菌分布,这一观察结果通过扫描电子显微镜(SEM)得到验证。我们发现接种方法会影响接种后4小时(hpi)时pv. 在叶片表面的分布,且pv. 在叶片表面呈显著的非随机分布。在18 hpi时,无论接种方法如何,基于生物发光成像并经电子显微镜确认,pv. 定位于水孔附近的叶边缘。这些发现证明了生物发光pv. 在估计细菌群体、选择抗性种质以及检测可能的感染点方面的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd1c/8239390/8841ecb86d1d/fpls-12-667351-g0001.jpg

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