Hildah K. Kithinji, Olivier Dayou, Léo Botton‐Divet, Thomas Stach, Susann Wicke
{"title":"利用高分辨率 X 射线计算机断层扫描(HRXCT)对草本植物-植物接触区进行二维和三维可视化分析","authors":"Hildah K. Kithinji, Olivier Dayou, Léo Botton‐Divet, Thomas Stach, Susann Wicke","doi":"10.1002/ppp3.10509","DOIUrl":null,"url":null,"abstract":"Parasitic plants that deprive crops of water and nutrients are an increasingly concerning food security issue, affecting the livelihood of millions of subsistence, small‐ and mid‐scale farmers. An in‐depth understanding of parasite–host interactions is required to develop species‐specific and ecologically sustainable parasite management methods. The non‐invasive visualization of herbaceous contact zones, applicable to diverse parasite–host pathosystems presented in this study, brings methodological advance to the research of biotic interactions between crops and plant parasites belonging to the most devastating parasitic plant family (Orobanchaceae). This work also provides first insights into how the parasites' feeding organ displaces host tissue beyond the direct parasite–host interface.High‐resolution X‐ray computed tomography (HRXCT) enables sectioning‐free two‐dimensional imaging of biological structures and reconstruction of three‐dimensional objects. Although its application is common in many areas of biomedicine and despite its flexibility regarding resolution levels, the technology remains underutilized in the plant sciences. Here, we explored HRXCT for the study of parasitic plant–plant interactions by developing protocols to access soft‐tissue host–parasite contact zones at cell‐level resolution. We tested various sample preparation methods and contrast stains for their efficiency to improve the imaging of haustorium samples. In doing so, we achieved cellular resolution with the visible cellular organization of haustorial structures, especially of the vascular system. Fresh stained and dehydrated sample preparation of soft haustoria enables the highest spatial resolution with fine‐cellular discrimination of haustorium versus host cells. Application of cell‐level resolved HRXCT to five pathosystems: Alectra‐cowpea, Phelipanche‐tomato, Phtheirospermum‐tomato, Rhamphicarpa‐tomato, and Striga‐sorghum highlighted a life history‐specific organization and uncovered an as yet undescribed internal displacement of host tissue at parasite–host interfaces. Following image‐based training, our HRXCT approach could invoke AI‐based cell recognition for automated parasite cell–host cell differentiation. 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This work also provides first insights into how the parasites' feeding organ displaces host tissue beyond the direct parasite–host interface.High‐resolution X‐ray computed tomography (HRXCT) enables sectioning‐free two‐dimensional imaging of biological structures and reconstruction of three‐dimensional objects. Although its application is common in many areas of biomedicine and despite its flexibility regarding resolution levels, the technology remains underutilized in the plant sciences. Here, we explored HRXCT for the study of parasitic plant–plant interactions by developing protocols to access soft‐tissue host–parasite contact zones at cell‐level resolution. We tested various sample preparation methods and contrast stains for their efficiency to improve the imaging of haustorium samples. In doing so, we achieved cellular resolution with the visible cellular organization of haustorial structures, especially of the vascular system. 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引用次数: 0
摘要
寄生植物会剥夺作物的水分和养分,是一个日益令人担忧的粮食安全问题,影响着数百万自给自足的中小型农户的生计。需要深入了解寄生虫与寄主的相互作用,才能开发出针对特定物种的、生态上可持续的寄生虫管理方法。本研究提出的草本植物接触区非侵入式可视化方法适用于多种寄生虫-寄主病理系统,为研究作物与最具破坏性的寄生植物科(大戟科)植物寄生虫之间的生物相互作用带来了方法上的进步。高分辨率 X 射线计算机断层扫描(HRXCT)可对生物结构进行无切片二维成像,并重建三维物体。尽管高分辨率 X 射线计算机断层扫描(HRXCT)在生物医学的许多领域都得到了广泛应用,尽管它在分辨率方面具有灵活性,但在植物科学领域仍未得到充分利用。在这里,我们通过开发以细胞级分辨率获取软组织宿主-寄生虫接触区的方案,探索了 HRXCT 在寄生植物-植物相互作用研究中的应用。我们测试了各种样本制备方法和对比染色剂,以确定它们是否能有效改善包囊样本的成像。在此过程中,我们获得了细胞分辨率,看到了寄主结构的细胞组织,尤其是血管系统。新鲜染色和脱水的软管样本制备可实现最高的空间分辨率,并对软管和宿主细胞进行精细的细胞分辨。将细胞级分辨率的 HRXCT 应用于五个病理系统:在 Alectra-豇豆、Phelipanche-番茄、Phtheirospermum-番茄、Rhamphicarpa-番茄和 Striga-高粱这五个病理系统中应用了细胞级分辨 HRXCT,突出显示了生命史特异性组织,并发现了寄生虫-宿主界面上宿主组织尚未描述的内部位移。在基于图像的训练之后,我们的 HRXCT 方法可以调用基于人工智能的细胞识别技术,自动进行寄生虫细胞-宿主细胞分化。新建立的用于草本植物-植物接触区二维和三维可视化的 HRXCT 方案取代了大量的三维成像显微切片,并从中获得了初步见解,这对寄生植物-寄主相互作用的中通量比较研究非常有用。
2D and 3D visualization of herbaceous plant–plant contact zones using high‐resolution X‐ray computed tomography (HRXCT)
Parasitic plants that deprive crops of water and nutrients are an increasingly concerning food security issue, affecting the livelihood of millions of subsistence, small‐ and mid‐scale farmers. An in‐depth understanding of parasite–host interactions is required to develop species‐specific and ecologically sustainable parasite management methods. The non‐invasive visualization of herbaceous contact zones, applicable to diverse parasite–host pathosystems presented in this study, brings methodological advance to the research of biotic interactions between crops and plant parasites belonging to the most devastating parasitic plant family (Orobanchaceae). This work also provides first insights into how the parasites' feeding organ displaces host tissue beyond the direct parasite–host interface.High‐resolution X‐ray computed tomography (HRXCT) enables sectioning‐free two‐dimensional imaging of biological structures and reconstruction of three‐dimensional objects. Although its application is common in many areas of biomedicine and despite its flexibility regarding resolution levels, the technology remains underutilized in the plant sciences. Here, we explored HRXCT for the study of parasitic plant–plant interactions by developing protocols to access soft‐tissue host–parasite contact zones at cell‐level resolution. We tested various sample preparation methods and contrast stains for their efficiency to improve the imaging of haustorium samples. In doing so, we achieved cellular resolution with the visible cellular organization of haustorial structures, especially of the vascular system. Fresh stained and dehydrated sample preparation of soft haustoria enables the highest spatial resolution with fine‐cellular discrimination of haustorium versus host cells. Application of cell‐level resolved HRXCT to five pathosystems: Alectra‐cowpea, Phelipanche‐tomato, Phtheirospermum‐tomato, Rhamphicarpa‐tomato, and Striga‐sorghum highlighted a life history‐specific organization and uncovered an as yet undescribed internal displacement of host tissue at parasite–host interfaces. Following image‐based training, our HRXCT approach could invoke AI‐based cell recognition for automated parasite cell–host cell differentiation. Superseding extensive microsectioning for 3D imaging, the newly established HRXCT protocol for 2D‐ and 3D‐visualization of herbaceous plant–plant contact zones and the first insights gained from it, is useful for mid‐throughput, comparative studies of parasitic plant–host interactions.