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High-throughput three-dimensional visualization of root system architecture of rice using X-ray computed tomography.


ABSTRACT: Background:X-ray computed tomography (CT) allows us to visualize root system architecture (RSA) beneath the soil, non-destructively and in a three-dimensional (3-D) form. However, CT scanning, reconstruction processes, and root isolation from X-ray CT volumes, take considerable time. For genetic analyses, such as quantitative trait locus mapping, which require a large population size, a high-throughput RSA visualization method is required. Results:We have developed a high-throughput process flow for the 3-D visualization of rice (Oryza sativa) RSA (consisting of radicle and crown roots), using X-ray CT. The process flow includes use of a uniform particle size, calcined clay to reduce the possibility of visualizing non-root segments, use of a higher tube voltage and current in the X-ray CT scanning to increase root-to-soil contrast, and use of a 3-D median filter and edge detection algorithm to isolate root segments. Using high-performance computing technology, this analysis flow requires only 10 min (33 s, if a rough image is acceptable) for CT scanning and reconstruction, and 2 min for image processing, to visualize rice RSA. This reduced time allowed us to conduct the genetic analysis associated with 3-D RSA phenotyping. In 2-week-old seedlings, 85% and 100% of radicle and crown roots were detected, when 16 cm and 20 cm diameter pots were used, respectively. The X-ray dose per scan was estimated at?

SUBMITTER: Teramoto S 

PROVIDER: S-EPMC7216661 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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High-throughput three-dimensional visualization of root system architecture of rice using X-ray computed tomography.

Teramoto Shota S   Takayasu Satoko S   Kitomi Yuka Y   Arai-Sanoh Yumiko Y   Tanabata Takanari T   Uga Yusaku Y  

Plant methods 20200511


<h4>Background</h4>X-ray computed tomography (CT) allows us to visualize root system architecture (RSA) beneath the soil, non-destructively and in a three-dimensional (3-D) form. However, CT scanning, reconstruction processes, and root isolation from X-ray CT volumes, take considerable time. For genetic analyses, such as quantitative trait locus mapping, which require a large population size, a high-throughput RSA visualization method is required.<h4>Results</h4>We have developed a high-throughp  ...[more]

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