• Unprecedented three-dimensional X-ray mi

    From ScienceDaily@1:317/3 to All on Tue Dec 7 21:30:34 2021
    Unprecedented three-dimensional X-ray microscope methodology to image
    plants at cellular resolution
    Improved imaging technology advances how we measure traits in crop
    species

    Date:
    December 7, 2021
    Source:
    Donald Danforth Plant Science Center
    Summary:
    Measuring plant phenotypes, a term used to describe the observable
    characteristics of an organism, is a critical aspect of studying
    and improving economically important crops. Phenotypes central to
    the breeding process include traits like kernel number in corn,
    seed size in wheat, or fruit color in grape. These features
    are visible to the naked human eye but are in fact driven by
    microscopic molecular and cellular processes in the plant. Using
    three-dimensional (3D) imaging is a recent innovation in the plant
    biology sector to capture phenotypes on the 'whole-plant' scale:
    from miniscule cells and organelles in the roots, up to the leaves
    and flowers. However, current 3D imaging processes are limited by
    time-consuming sample preparation and by imaging depth, usually
    reaching only a few layers of cells within a plant tissue.



    FULL STORY ========================================================================== Measuring plant phenotypes, a term used to describe the observable characteristics of an organism, is a critical aspect of studying
    and improving economically important crops. Phenotypes central to the
    breeding process include traits like kernel number in corn, seed size in
    wheat, or fruit color in grape. These features are visible to the naked
    human eye but are in fact driven by microscopic molecular and cellular processes in the plant. Using three-dimensional (3D) imaging is a recent innovation in the plant biology sector to capture phenotypes on the "whole-plant" scale: from miniscule cells and organelles in the roots,
    up to the leaves and flowers. However, current 3D imaging processes
    are limited by time-consuming sample preparation and by imaging depth,
    usually reaching only a few layers of cells within a plant tissue. New
    research led by Christopher Topp, PhD, associate member at the Donald
    Danforth Plant Science Center, and Keith Duncan, a research scientist
    in his lab, have pioneered X-ray microscope technology to image plant
    cells, whole tissues, and even organs at unprecedented depths with
    cellular resolution. The work, supported by Valent BioSciences LLC and
    Sumitomo Chemical Corporation, was recently published in the scientific
    journal Plant Physiology, titled X-ray microscopy enables multiscale high-resolution 3D imaging of plant cells, tissues, and organs. This work
    will enable plant scientists globally to study above and below-ground
    traits at revolutionary clarity.


    ========================================================================== "This paper focuses on the multiscale," says corresponding author
    Chris Topp, "because plants are multiscale. An ear of corn starts off
    as a microscopic group of cells called a meristem. Meristem cells will eventually form all the visible parts of the corn plant through division
    and growth." Their improved 3D X-ray microscopy (XRM) technology allows
    the researchers to relate the developmental microstructure of the plant,
    such as meristem cells, to visible traits as they mature, for example
    leaves and flowers. In other words, 3D XRM provides cellular-level
    resolution of entire plant organs and tissues.

    In addition, their XRM methodology can also image below-ground
    structures at exceptional resolution, including roots, fungi, and other microbes. "Plant roots drive a lot of important biological processes;
    they feed microbes in the soil, and in return the plants get phosphorus
    and nitrogen," explains Topp. "We know the interaction between roots
    and microbes is important because it was a primary source of phosphorus
    and nitrogen before we invented chemical fertilizers." Our dependency on chemical fertilizers in standard agricultural practices have, in turn,
    made major contributions to global climate change.

    "Half of all the biologically-available nitrogen was made in a factory in
    the last 100 years," Topp continues. "This process has been estimated to
    use 3% of all available energy and generate 3% of greenhouse gas emissions
    on planet Earth every single year." Therefore, a critical component of
    the sustainable agriculture movement includes reducing chemical inputs
    and instead fostering natural interactions between roots and microbes
    below ground. "We haven't had the tools to understand these interactions
    until recently," says Topp. "3D XRM can help unlock the potential of re-establishing these natural alliances in our agriculture systems."
    3D XRM methodology is unique compared to other imaging approaches in
    plant biology because of its ability to yield essentially perfect 3D
    clarity of plant structure. Other common methods, such as photon-based tomography, are limited by shallow imaging depths and are optimized in
    a select few species of plants.

    In contrast, by using 3D XRM, the team led by Topp and Duncan are able to
    image "thick tissues that are recalcitrant to typical, optical methods,"
    in a whole host of economically important crops, including corn, foxtail millet, soybean, teff, and grape. "This paper is the first of its kind
    to show the breadth of what 3D XRM can do," Topp notes.

    A major goal of the paper is to establish a reproducible protocol
    for other plant scientists interested in 3D XRM imaging. To do so,
    lead author Keith Duncan spent a lot of time -- and trial and error -- preparing samples to optimize the contrast between the plant and its background. X-ray imaging works through differential absorption, where
    dense material (like minerals in the soil) absorbs more X-rays and shows
    up darker on an image. However, biological matter like plant tissue has
    low X-ray absorption, and the team was at risk of completely washing out
    the material they were interested in imaging. "Solving that problem for
    one kind of sample -- like a root tip -- is one thing," explains Topp,
    "but the idea of the paper was to give plant scientists working on a
    variety of relevant plant tissues and species the access to these methods.

    We want to broadly apply 3D XRM to plant systems above and below
    ground." As such, their published methodologies greatly advance the number
    of plant species and the types of plant tissues that can be imaged at
    nearly perfect resolution.

    Keith Duncan continues to lead the partnership of the Topp Lab with
    Valent Biosciences and Sumitomo Chemical, focusing on improving 3D XRM capabilities.

    He often collaborates with Kirk Czymmek, PhD, director of the Danforth
    Center's Advanced Bioimaging Laboratory, who was also an author on
    the paper.

    Next on the horizon is to image 3D structures of fungal networks in
    the soil.

    Part of that work includes improving machine learning approaches, such
    that a computer is trained to recognize what within an image is a root,
    soil, or spore (the reproductive cells of a fungus). Their work will
    continue to develop new technological approaches to improve our multiscale understanding of the "whole plant," from the microscopic to the visible.

    ========================================================================== Story Source: Materials provided by
    Donald_Danforth_Plant_Science_Center. Note: Content may be edited for
    style and length.


    ========================================================================== Journal Reference:
    1. Keith E Duncan, Kirk J Czymmek, Ni Jiang, August C Thies,
    Christopher N
    Topp. X-ray microscopy enables multiscale high-resolution 3D imaging
    of plant cells, tissues, and organs. Plant Physiology, 2021; DOI:
    10.1093/ plphys/kiab405 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2021/12/211207102000.htm

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