Investigating the microstructure of plant leaves in 3D with lab-based X-ray computed tomography.
Investigating the microstructure of plant leaves in 3D with lab-based X-ray computed tomography.
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DOI：
10.1186/s13007-018-0367-7
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发表时间：
2018
期刊：
影响因子：
5.1
通讯作者：
Sturrock CJ
中科院分区：
文献类型：
--
作者：
Mathers AW;Hepworth C;Baillie AL;Sloan J;Jones H;Lundgren M;Fleming AJ;Mooney SJ;Sturrock CJ
叶片细胞结构在限制碳同化和光合性能方面起着重要作用。然而，植物组织的低密度、精细结构和对干燥的敏感性给其定量研究带来了挑战。传统的组织固定和包埋方法在二维显微镜切片前既费力又容易受到人工制品的影响，这些人工制品会使所获得的值产生偏差。在这里，我们报告了一种图像分析管道，该管道使用基于实验室的x射线计算机断层扫描（microCT）提供植物叶片细胞间空间的定量描述符。我们展示了一系列物种（包括双子叶和单子叶）叶片胞间空间的3D成功可视化和定量差异，并提供了与叶片切片的标准2D分析的比较。我们使用微ct图像管道获得了三种双子叶植物（拟南芥、番茄和豌豆）和三种单子叶植物（大麦、燕麦和水稻）的叶片孔隙度和叶肉暴露表面积（Smes）的估计。成像流程包括(1)掩蔽操作以去除叶子周围的背景空域，(2)在ImageJ中使用自动阈值进行分割，然后(3)使用ImageJ ‘ Analyze Particles ’工具对提取的孔隙进行量化。拟南芥的气孔率最高，中小企业数最低，而大麦的气孔率最高，中小企业数最高。通过对比三维微ct分析和二维剖面分析得出的孔隙度和中小企业估算值表明，两种方法都提供了相似的孔隙度估算值，但二维方法可能低估了中小企业近50%。对孔隙度的深入研究揭示了所分析物种之间不对称空间分布的相似性和差异性。我们的研究结果证明了利用基于实验室的微ct对叶片细胞间空域网络进行高分辨率成像的实用性，并提供了叶片细胞结构描述符的定量数据。他们指出，在不同的物种中存在一系列孔隙度和Smes值，并且这些参数之间没有简单的关系，这表明在确定影响叶片光合性能的细胞参数时，细胞大小、形状和包装的重要性。本文的在线版本（10.1186/s13007-018-0367-7）包含补充资料，仅供授权用户使用。
Leaf cellular architecture plays an important role in setting limits for carbon assimilation and, thus, photosynthetic performance. However, the low density, fine structure, and sensitivity to desiccation of plant tissue has presented challenges to its quantification. Classical methods of tissue fixation and embedding prior to 2D microscopy of sections is both laborious and susceptible to artefacts that can skew the values obtained. Here we report an image analysis pipeline that provides quantitative descriptors of plant leaf intercellular airspace using lab-based X-ray computed tomography (microCT). We demonstrate successful visualisation and quantification of differences in leaf intercellular airspace in 3D for a range of species (including both dicots and monocots) and provide a comparison with a standard 2D analysis of leaf sections. We used the microCT image pipeline to obtain estimates of leaf porosity and mesophyll exposed surface area (Smes) for three dicot species (Arabidopsis, tomato and pea) and three monocot grasses (barley, oat and rice). The imaging pipeline consisted of (1) a masking operation to remove the background airspace surrounding the leaf, (2) segmentation by an automated threshold in ImageJ and then (3) quantification of the extracted pores using the ImageJ ‘Analyze Particles’ tool. Arabidopsis had the highest porosity and lowest Smes for the dicot species whereas barley had the highest porosity and the highest Smes for the grass species. Comparison of porosity and Smes estimates from 3D microCT analysis and 2D analysis of sections indicates that both methods provide a comparable estimate of porosity but the 2D method may underestimate Smes by almost 50%. A deeper study of porosity revealed similarities and differences in the asymmetric distribution of airspace between the species analysed. Our results demonstrate the utility of high resolution imaging of leaf intercellular airspace networks by lab-based microCT and provide quantitative data on descriptors of leaf cellular architecture. They indicate there is a range of porosity and Smes values in different species and that there is not a simple relationship between these parameters, suggesting the importance of cell size, shape and packing in the determination of cellular parameters proposed to influence leaf photosynthetic performance. The online version of this article (10.1186/s13007-018-0367-7) contains supplementary material, which is available to authorized users.
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DOI：
10.1111/nph.14705
发表时间：
2017-10
期刊：
The New phytologist
影响因子：
--
作者：
Koebernick N;Daly KR;Keyes SD;George TS;Brown LK;Raffan A;Cooper LJ;Naveed M;Bengough AG;Sinclair I;Hallett PD;Roose T
通讯作者：
Roose T
DOI：
10.1111/tpj.13727
发表时间：
2017-12
期刊：
The Plant journal : for cell and molecular biology
影响因子：
--
作者：
Lehmeier C;Pajor R;Lundgren MR;Mathers A;Sloan J;Bauch M;Mitchell A;Bellasio C;Green A;Bouyer D;Schnittger A;Sturrock C;Osborne CP;Rolfe S;Mooney S;Fleming AJ
通讯作者：
Fleming AJ
影响因子：
11.6
作者：
Lee, Karen;Avondo, Jerome;Coen, Enrico
通讯作者：
Coen, Enrico
DOI：
10.1111/tpj.12342
发表时间：
2013-12
期刊：
The Plant journal : for cell and molecular biology
影响因子：
--
作者：
Dorca-Fornell C;Pajor R;Lehmeier C;Pérez-Bueno M;Bauch M;Sloan J;Osborne C;Rolfe S;Sturrock C;Mooney S;Fleming A
通讯作者：
Fleming A
影响因子：
4.6
作者：
Karunakaran C;Lahlali R;Zhu N;Webb AM;Schmidt M;Fransishyn K;Belev G;Wysokinski T;Olson J;Cooper DM;Hallin E
通讯作者：
Hallin E