In situ three-dimensional visualization of Bursaphelenchus xylophilus inoculated in Pinus thunbergii using X-ray micro-computed tomography

IF 1.7 3区 农林科学 Q2 FORESTRY
Gou Nakajima, Taiichi Iki, Takuya Aikawa, Takumi Hara, Eisuke Ito, Katsunori Nakamura
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引用次数: 0

Abstract

Pine wilt disease, a devastating infectious disease of pine trees, is caused by the pinewood nematode, Bursaphelenchus xylophilus. It is important to understand the spatial dispersal processes of B. xylophilus within host-tree tissues to assess its pathogenic mechanism. However, this is not feasible with conventional microscopy-imaging techniques. In this study, we showed that X-ray micro-computed tomography (micro-CT) imaging can be a powerful tool for visualizing infected nematodes within host-tree tissues. We visualized 161 nematodes and 11 eggs within a Pinus thunbergii stem section, 47.3 mm3 in volume, using an appropriate segmentation of the micro-CT images. Quantitative measurements of the segmented region corresponding to the nematodes allowed for the calculation of the longitudinal length and a-value, which were similar to previous morphological descriptions of B. xylophilus. The technique adopted in this study can aid in understanding the behavior of and obtaining quantitative information on B. xylophilus within tree tissues.
利用 X 射线显微计算机断层扫描技术,对接种到松柏中的嗜木囊尾蚴进行原位三维观察
松树枯萎病是松树的一种毁灭性传染病,由松材线虫 Bursaphelenchus xylophilus 引起。了解松材线虫在寄主-树木组织内的空间扩散过程对评估其致病机制非常重要。然而,传统的显微成像技术无法实现这一目标。在这项研究中,我们发现 X 射线显微计算机断层扫描(micro-CT)成像技术是观察寄主树组织内受感染线虫的有力工具。通过对微型计算机断层扫描图像进行适当分割,我们在一个体积为 47.3 立方毫米的松树茎干切片中观察到了 161 条线虫和 11 个虫卵。通过对线虫对应的分割区域进行定量测量,可以计算出线虫的纵向长度和 a 值,这与之前对嗜木线虫的形态描述相似。本研究采用的技术有助于了解木嗜线虫在树木组织内的行为并获得定量信息。
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来源期刊
CiteScore
4.20
自引率
9.10%
发文量
109
审稿时长
3 months
期刊介绍: Published since 1971, the Canadian Journal of Forest Research is a monthly journal that features articles, reviews, notes and concept papers on a broad spectrum of forest sciences, including biometrics, conservation, disturbances, ecology, economics, entomology, genetics, hydrology, management, nutrient cycling, pathology, physiology, remote sensing, silviculture, social sciences, soils, stand dynamics, and wood science, all in relation to the understanding or management of ecosystem services. It also publishes special issues dedicated to a topic of current interest.
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