Bluesky Facebook Reddit Email

Synchrotron-based imaging techniques enhance understanding of soybean nodule structures for improved nitrogen fixation efficiency

07.09.24 | Nanjing Agricultural University The Academy of Science

Apple iPhone 17 Pro

Apple iPhone 17 Pro delivers top performance and advanced cameras for field documentation, data collection, and secure research communications.


A research team used synchrotron-based X-ray microcomputed tomography (SR-μCT) to non-invasively obtain high-quality 3D images of fresh soybean root nodules, quantifying the volumes of the central infected zone (CIZ) and vascular bundles (VBs). The study further employed synchrotron X-ray fluorescence imaging to visualize the distribution of iron and zinc within these tissues. This pioneering method enhances our understanding of nodule function in N 2 -fixation, with potential applications in breeding soybean cultivars for improved nitrogen-fixation efficiency and enhanced root nodule activity.

Nitrogen (N) is crucial for plant growth as it forms essential biomolecules. Modern agriculture relies on synthetic nitrogen fertilizers, which are energy-intensive and environmentally harmful. The legume-rhizobia symbiosis offers a sustainable alternative, efficiently fixing N 2 in root nodules. However, the functional significance of nodule tissues in nitrogen fixation is not well understood.

A study (DOI: 10.34133/plantphenomics.0203) published in Plant Phenomics on 29 May 2024, aims to employ advanced imaging techniques to visualize and assess the functional structures in soybean root nodules, enhancing our understanding of nitrogen fixation efficiency.

This study utilized synchrotron radiation micro-computed tomography (SR-μCT) and X-ray fluorescence (SR-XRF) imaging to non-invasively visualize internal structures of fresh soybean root nodules, focusing on central infected zones (CIZ) and vascular bundles (VBs). SR-μCT provided high-quality, high-contrast images without extensive sample preparation, and Biomedisa's algorithm rapidly segmented nodular tissues. SR-XRF imaging revealed the distinct localization of iron within the CIZ and zinc within the VBs across three soybean genotypes, correlating with nitrogen fixation efficiencies. Despite limitations such as analyzing a single nodule per genotype, this innovative method demonstrated the potential of SR-μCT and SR-XRF for rapid, high-resolution phenotyping, offering valuable insights into nodule structure-function relationships. The study highlighted the utility of these techniques in advancing understanding of plant internal microstructures, suggesting that synchrotron imaging is a powerful tool for future research in this field.

According to the study's lead researcher, Leon Kochian, “The proposed methods enable the exploitation of root nodule’s anatomical features as novel traits in breeding, aiming to enhance N 2 -fixation through improved root nodule activity.”

In summary, this study highlights the functional importance of CIZ and VBs in soybean root nodules for nitrogen fixation. Using synchrotron-based X-ray microcomputed tomography (SR-μCT), high-quality, non-invasive 3D visualizations and volume quantifications of these tissues were achieved. Synchrotron X-ray fluorescence imaging further revealed the specific localization of iron and zinc within nodules, showcasing their roles. Future research could leverage deep neural networks for automatic segmentation and synchrotron X-ray fluorescence tomography for detailed 3D mapping, potentially enhancing nitrogen fixation efficiency through advanced soybean breeding strategies.

###

References

DOI

10.34133/plantphenomics.02 03

Original Source URL

https://doi.org/10.34133/plantphenomics.02 03

Funding information

This research was supported by funding from a Canada Excellence Research Chairs (CERC) Grant to LVK, and from funding from the Global institute for Food Security, and the University of Saskatchewan, to LVK.

About Plant Phenomics

Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. Editorial decisions and scientific activities pursued by the journal's Editorial Board are made independently, based on scientific merit and adhering to the highest standards for accurate and ethical promotion of science. These decisions and activities are in no way influenced by the financial support of NAU, NAU administration, or any other institutions and sponsors. The Editorial Board is solely responsible for all content published in the journal. To learn more about the Science Partner Journal program, visit the SPJ program homepage.

Plant Phenomics

10.34133/plantphenomics.0203

Experimental study

Not applicable

Visualization and quantitative evaluation of functional structures of soybean root nodules via synchrotron X-ray imaging

29-May-2024

The authors declare that they have no competing interests.

Keywords

Article Information

Contact Information

Ping Wang
Nanjing Agricultural University The Academy of Science
pingwang@njau.edu.cn

Source

How to Cite This Article

APA:
Nanjing Agricultural University The Academy of Science. (2024, July 9). Synchrotron-based imaging techniques enhance understanding of soybean nodule structures for improved nitrogen fixation efficiency. Brightsurf News. https://www.brightsurf.com/news/L596O638/synchrotron-based-imaging-techniques-enhance-understanding-of-soybean-nodule-structures-for-improved-nitrogen-fixation-efficiency.html
MLA:
"Synchrotron-based imaging techniques enhance understanding of soybean nodule structures for improved nitrogen fixation efficiency." Brightsurf News, Jul. 9 2024, https://www.brightsurf.com/news/L596O638/synchrotron-based-imaging-techniques-enhance-understanding-of-soybean-nodule-structures-for-improved-nitrogen-fixation-efficiency.html.