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      Plant–environment microscopy tracks interactions of Bacillus subtilis with plant roots across the entire rhizosphere

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          The lack of suitable approaches for studying root–microbe interactions, live and in situ, has severely limited our ability to understand the rhizosphere. In this study, we overcome this major limitation with an imaging system that combines transparent soils with cutting edge light sheet microscopy. The study revealed that the root cap is a point of first contact for microbes before establishment and reveals how the pore structure influences the patterns of interactions between the microbe and the plant. With the combined use of light sheet microscopy and transparent soils, we shed light on previously unseen interaction phenomena and accelerate the understanding of how rhizospheres are formed.

          Abstract

          Our understanding of plant–microbe interactions in soil is limited by the difficulty of observing processes at the microscopic scale throughout plants’ large volume of influence. Here, we present the development of three-dimensional live microscopy for resolving plant–microbe interactions across the environment of an entire seedling growing in a transparent soil in tailor-made mesocosms, maintaining physical conditions for the culture of both plants and microorganisms. A tailor-made, dual-illumination light sheet system acquired photons scattered from the plant while fluorescence emissions were simultaneously captured from transparent soil particles and labeled microorganisms, allowing the generation of quantitative data on samples ∼3,600 mm 3 in size, with as good as 5 µm resolution at a rate of up to one scan every 30 min. The system tracked the movement of Bacillus subtilis populations in the rhizosphere of lettuce plants in real time, revealing previously unseen patterns of activity. Motile bacteria favored small pore spaces over the surface of soil particles, colonizing the root in a pulsatile manner. Migrations appeared to be directed toward the root cap, the point of “first contact,” before the subsequent colonization of mature epidermis cells. Our findings show that microscopes dedicated to live environmental studies present an invaluable tool to understand plant–microbe interactions.

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          Most cited references45

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          Reconstruction of zebrafish early embryonic development by scanned light sheet microscopy.

          A long-standing goal of biology is to map the behavior of all cells during vertebrate embryogenesis. We developed digital scanned laser light sheet fluorescence microscopy and recorded nuclei localization and movement in entire wild-type and mutant zebrafish embryos over the first 24 hours of development. Multiview in vivo imaging at 1.5 billion voxels per minute provides "digital embryos," that is, comprehensive databases of cell positions, divisions, and migratory tracks. Our analysis of global cell division patterns reveals a maternally defined initial morphodynamic symmetry break, which identifies the embryonic body axis. We further derive a model of germ layer formation and show that the mesendoderm forms from one-third of the embryo's cells in a single event. Our digital embryos, with 55 million nucleus entries, are provided as a resource.
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            Challenges in microbial ecology: building predictive understanding of community function and dynamics

            The importance of microbial communities (MCs) cannot be overstated. MCs underpin the biogeochemical cycles of the earth's soil, oceans and the atmosphere, and perform ecosystem functions that impact plants, animals and humans. Yet our ability to predict and manage the function of these highly complex, dynamically changing communities is limited. Building predictive models that link MC composition to function is a key emerging challenge in microbial ecology. Here, we argue that addressing this challenge requires close coordination of experimental data collection and method development with mathematical model building. We discuss specific examples where model–experiment integration has already resulted in important insights into MC function and structure. We also highlight key research questions that still demand better integration of experiments and models. We argue that such integration is needed to achieve significant progress in our understanding of MC dynamics and function, and we make specific practical suggestions as to how this could be achieved.
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              Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain.

              Visualizing entire neuronal networks for analysis in the intact brain has been impossible up to now. Techniques like computer tomography or magnetic resonance imaging (MRI) do not yield cellular resolution, and mechanical slicing procedures are insufficient to achieve high-resolution reconstructions in three dimensions. Here we present an approach that allows imaging of whole fixed mouse brains. We modified 'ultramicroscopy' by combining it with a special procedure to clear tissue. We show that this new technique allows optical sectioning of fixed mouse brains with cellular resolution and can be used to detect single GFP-labeled neurons in excised mouse hippocampi. We obtained three-dimensional (3D) images of dendritic trees and spines of populations of CA1 neurons in isolated hippocampi. Also in fruit flies and in mouse embryos, we were able to visualize details of the anatomy by imaging autofluorescence. Our method is ideally suited for high-throughput phenotype screening of transgenic mice and thus will benefit the investigation of disease models.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                24 November 2021
                30 November 2021
                24 November 2021
                : 118
                : 48
                : e2109176118
                Affiliations
                [1] aSchool of Science and Engineering, University of Dundee , Dundee DD1 4HN, United Kingdom;
                [2] bEcological Sciences, The James Hutton Institute , Dundee DD2 5DA, United Kingdom;
                [3] cDepartment of Conservation of Natural Resources, Neiker , Derio 48160, Spain;
                [4] dSchool of Life Sciences, University of Dundee , Dundee DD1 5EH, United Kingdom;
                [5] eInstitut Charles Gerhardt de Montpellier, Université de Montpellier, CNRS, ENSCM , Montpellier 34090, France;
                [6] fPlants, Photosynthesis and Soil, School of Biosciences, The University of Sheffield , Sheffield S10 2TN, United Kingdom;
                [7] gNorthern Faculty, Scotland’s Rural College , Aberdeen AB21 9YA, United Kingdom;
                [8] hIkerbasque, Basque Foundation for Science , Bilbao 48009, Spain
                Author notes
                2To whom correspondence may be addressed. Email: M.P.MacDonald@ 123456dundee.ac.uk or ldupuy@ 123456neiker.eus .

                Edited by Philip N. Benfey, Duke University, Durham, NC, and approved October 15, 2021 (received for review May 21, 2021)

                Author contributions: Y.L., D.P., I.E., T.G., N.R.S.-W., V.L., B.A., T.J.D., N.H., M.P.M., and L.X.D. designed research; Y.L., D.P., and I.E. performed research; Y.L., D.P., and I.E. contributed new reagents/analytic tools; Y.L. and L.X.D. analyzed data; Y.L., D.P., I.E., and L.X.D. wrote the paper; and T.G., N.R.S.-W., V.L., B.A., T.J.D., N.H., and M.P.M. revised the paper.

                1Y.L. and D.P. contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-3730-0464
                https://orcid.org/0000-0001-8280-4704
                https://orcid.org/0000-0002-5936-9721
                https://orcid.org/0000-0002-7590-4800
                https://orcid.org/0000-0003-0435-4343
                https://orcid.org/0000-0002-7904-4529
                https://orcid.org/0000-0003-4415-5437
                https://orcid.org/0000-0001-5221-9037
                Article
                202109176
                10.1073/pnas.2109176118
                8640753
                34819371
                3323b0ed-81f5-4508-9721-7f7b4e096981
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY).

                History
                : 05 October 2021
                Page count
                Pages: 8
                Funding
                Funded by: European Research Council
                Award ID: 647857-SENSOILS
                Award Recipient : Yangminghao Liu Award Recipient : Daniel Patko Award Recipient : Ilonka Engelhardt Award Recipient : Timothy S George Award Recipient : Nicola R Stanley-Wall Award Recipient : Vincent Ladmiral Award Recipient : Bruno Ameduri Award Recipient : Tim J Daniell Award Recipient : Nicola Holden Award Recipient : Michael P MacDonald Award Recipient : Lionel Xavier Dupuy
                Categories
                428
                Biological Sciences
                Plant Biology
                Physical Sciences
                Biophysics and Computational Biology

                environmental imaging,root–microbe interactions,rhizosphere

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