文献类型： 外文期刊
作者： Chen, Ke 1 ; Zhang, Wenting 2 ; La, Ting 4 ; Bastians, Philipp Alexander 6 ; Guo, Tao 3 ; Cao, Chunjie 6 ;
作者机构： 1.Guangdong Acad Agr Sci, Rice Res Inst, Guangdong Prov Key Lab New Technol Rice Breeding, Guangzhou 510640, Guangdong, Peoples R China
2.Guangdong Acad Agr Sci, Crops Res Inst, Guangzhou 510640, Peoples R China
3.Chinese Acad Sci, CAS Ctr Excellence Mol Plant Sci, Shanghai Inst Plant Physiol & Ecol, Natl Key Lab Plant Mol Genet, Shanghai 200032, Peoples R China
4.Univ Newcastle, Sch Biomed Sci & Pharm, Callaghan, NSW 2308, Australia
5.King Abdullah Univ Sci & Technol KAUST, Biol & Environm Sci & Engn BESE, Thuwal 239556900, Saudi Arabia
6.Carl Zeiss Shanghai Co Ltd, Beijing 100191, Peoples R China
关键词： X-ray microscopy; Plant morphology; Plant development; Plant 3D reconstruction; Tomography
期刊名称：PLANT SCIENCE （ 影响因子：4.729； 五年影响因子：5.132 ）
ISSN： 0168-9452
年卷期： 2021 年 311 卷
页码：
收录情况： SCI
摘要： In recent years, the plant morphology has been well studied by multiple approaches at cellular and subcellular levels. Two-dimensional (2D) microscopy techniques offer imaging of plant structures on a wide range of magnifications for researchers. However, subcellular imaging is still challenging in plant tissues like roots and seeds. Here we use a three-dimensional (3D) imaging technology based on the X-ray microscope (XRM) and analyze several plant tissues from different plant species. The XRM provides new insights into plant structures using non-destructive imaging at high-resolution and high contrast. We also utilized a workflow aiming to acquire accurate and high-quality images in the context of the whole specimen. Multiple plant samples including rice, tobacco, Arabidopsis and maize were used to display the differences of phenotypes. Our work indicates that the XRM is a powerful tool to investigate plant microstructure in high-resolution scale. Our work also provides evidence that evaluate and quantify tissue specific differences for a range of plant species. We also characterize novel plant tissue phenotypes by the XRM, such as seeds in Arabidopsis, and utilize them for novel observation measurement. Our work represents an evaluated spatial and temporal resolution solution on seed observation and screening.
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