Uncovering natural variation in root system architecture and growth dynamics using a robotics-assisted phenomics platform

  1. Therese LaRue
  2. Heike Lindner
  3. Ankit Srinivas
  4. Moises Exposito-Alonso
  5. Guillaume Lobet
  6. José R Dinneny  Is a corresponding author
  1. Stanford University, United States
  2. Carnegie Institution for Science, United States
  3. Forschungszentrum Jülich, Germany

Abstract

The plant kingdom contains a stunning array of complex morphologies easily observed above-ground, but more challenging to visualize below-ground. Understanding the magnitude of diversity in root distribution within the soil, termed root system architecture (RSA), is fundamental to determining how this trait contributes to species adaptation in local environments. Roots are the interface between the soil environment and the shoot system and therefore play a key role in anchorage, resource uptake, and stress resilience. Previously, we presented the GLO-Roots (Growth and Luminescence Observatory for Roots) system to study the RSA of soil-grown Arabidopsis thaliana plants from germination to maturity (Rellán-Álvarez et al. 2015). In this study, we present the automation of GLO-Roots using robotics and the development of image analysis pipelines in order to examine the temporal dynamic regulation of RSA and the broader natural variation of RSA in Arabidopsis, over time. These datasets describe the developmental dynamics of two independent panels of accessions and reveal highly complex and polygenic RSA traits that show significant correlation with climate variables of the accessions' respective origins.

Data availability

GLORIAv2 is available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5574925Image analysis pipelines and scripts are available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5708430RShiny App for exploring root system architecture of accessions is available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5708422Imaging data and images are available through Zenodo, DOI: https://doi.org/10.5281/zenodo.5709009General code for software operating robotics available: GitHub: https://github.com/rhizolab/rhizo-serverRhizotron laser cutting files are available through Zenodo, DOI: https://doi.org/10.5281/zenodo.6694558)Previously published datasets used: WORLCLIM2: Fick SE, Hijmans RJ, 2017, https://worldclim.org/, https://doi.org/10.1002/joc.5086

The following previously published data sets were used
    1. Fick SE
    2. Hijmans RJ
    (2017) WORLCLIM2
    https://doi.org/10.1002/joc.5086.

Article and author information

Author details

  1. Therese LaRue

    Department of Biology, Stanford University, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Heike Lindner

    Department of Plant Biology, Carnegie Institution for Science, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Ankit Srinivas

    Department of Plant Biology, Carnegie Institution for Science, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Moises Exposito-Alonso

    Department of Plant Biology, Carnegie Institution for Science, Stanford, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5711-0700
  5. Guillaume Lobet

    Agrosphere Institute, Forschungszentrum Jülich, Jülich, Germany
    Competing interests
    The authors declare that no competing interests exist.
  6. José R Dinneny

    Department of Biology, Stanford University, Stanford, United States
    For correspondence
    dinneny@stanford.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3998-724X

Funding

U.S. Department of Energy (DE-SC0008769)

  • José R Dinneny

U.S. Department of Energy (DE-SC0018277)

  • José R Dinneny

National Institutes of Health (T32GM007276)

  • Therese LaRue

Deutsche Forschungsgemeinschaft (LI 2776/1-1)

  • Heike Lindner

National Institutes of Health (1DP5OD029506-01)

  • Moises Exposito-Alonso

U.S. Department of Energy (DE-SC0021286)

  • Moises Exposito-Alonso

Deutsche Forschungsgemeinschaft (EXC-2070 - 390732324)

  • Guillaume Lobet

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2022, LaRue et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 2,375
    views
  • 478
    downloads
  • 12
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Therese LaRue
  2. Heike Lindner
  3. Ankit Srinivas
  4. Moises Exposito-Alonso
  5. Guillaume Lobet
  6. José R Dinneny
(2022)
Uncovering natural variation in root system architecture and growth dynamics using a robotics-assisted phenomics platform
eLife 11:e76968.
https://doi.org/10.7554/eLife.76968

Share this article

https://doi.org/10.7554/eLife.76968

Further reading

    1. Cell Biology
    2. Plant Biology
    Masanori Izumi, Sakuya Nakamura ... Shinya Hagihara
    Research Article

    Plants distribute many nutrients to chloroplasts during leaf development and maturation. When leaves senesce or experience sugar starvation, the autophagy machinery degrades chloroplast proteins to facilitate efficient nutrient reuse. Here, we report on the intracellular dynamics of an autophagy pathway responsible for piecemeal degradation of chloroplast components. Through live-cell monitoring of chloroplast morphology, we observed the formation of chloroplast budding structures in sugar-starved leaves. These buds were then released and incorporated into the vacuolar lumen as an autophagic cargo termed a Rubisco-containing body. The budding structures did not accumulate in mutants of core autophagy machinery, suggesting that autophagosome creation is required for forming chloroplast buds. Simultaneous tracking of chloroplast morphology and autophagosome development revealed that the isolation membranes of autophagosomes interact closely with part of the chloroplast surface before forming chloroplast buds. Chloroplasts then protrude at the site associated with the isolation membranes, which divide synchronously with autophagosome maturation. This autophagy-related division does not require DYNAMIN-RELATED PROTEIN 5B, which constitutes the division ring for chloroplast proliferation in growing leaves. An unidentified division machinery may thus fragment chloroplasts for degradation in coordination with the development of the chloroplast-associated isolation membrane.

    1. Plant Biology
    Koji Kato, Yoshiki Nakajima ... Ryo Nagao
    Research Article

    Photosynthetic organisms exhibit remarkable diversity in their light-harvesting complexes (LHCs). LHCs are associated with photosystem I (PSI), forming a PSI-LHCI supercomplex. The number of LHCI subunits, along with their protein sequences and pigment compositions, has been found to differ greatly among the PSI-LHCI structures. However, the mechanisms by which LHCIs recognize their specific binding sites within the PSI core remain unclear. In this study, we determined the cryo-electron microscopy structure of a PSI supercomplex incorporating fucoxanthin chlorophyll a/c-binding proteins (FCPs), designated as PSI-FCPI, isolated from the diatom Thalassiosira pseudonana CCMP1335. Structural analysis of PSI-FCPI revealed five FCPI subunits associated with a PSI monomer; these subunits were identified as RedCAP, Lhcr3, Lhcq10, Lhcf10, and Lhcq8. Through structural and sequence analyses, we identified specific protein–protein interactions at the interfaces between FCPI and PSI subunits, as well as among FCPI subunits themselves. Comparative structural analyses of PSI-FCPI supercomplexes, combined with phylogenetic analysis of FCPs from T. pseudonana and the diatom Chaetoceros gracilis, underscore the evolutionary conservation of protein motifs crucial for the selective binding of individual FCPI subunits. These findings provide significant insights into the molecular mechanisms underlying the assembly and selective binding of FCPIs in diatoms.