Rapid transporter regulation prevents substrate flow traffic jams in boron transport

  1. Naoyuki Sotta
  2. Susan Duncan
  3. Mayuki Tanaka
  4. Sato Takafumi
  5. Athanasius FM Marée  Is a corresponding author
  6. Toru Fujiwara  Is a corresponding author
  7. Verônica A. Grieneisen  Is a corresponding author
  1. The University of Tokyo, Japan
  2. John Innes Centre, United Kingdom
  3. University of Tokyo, Japan

Abstract

Nutrient uptake by roots often involves substrate-dependent regulated nutrient transporters. For robust uptake, the system requires a regulatory circuit within cells and a collective, coordinated behaviour across the tissue. A paradigm for such systems is boron uptake, known for its directional transport and homeostasis, as boron is essential for plant growth but toxic at high concentrations. In Arabidopsis thaliana Boron up- take occurs via diffusion facilitators (NIPs) and exporters (BORs), each presenting distinct polarity. Intriguingly, although boron soil concentrations are homogenous and stable, both transporters manifest strikingly swift boron-dependent regulation. Through mathematical modelling, we demonstrate that slower regulation of these transporters leads to physiologically detrimental oscillatory behaviour. Cells become periodically exposed to potentially cytotoxic boron levels, and nutrient throughput to the xylem becomes hampered. We conclude that, while maintaining homeostasis, swift transporter regulation within a polarised tissue context is critical to prevent intrinsic traffic-jam like behaviour of nutrient flow.

Data availability

The following data sets were generated

Article and author information

Author details

  1. Naoyuki Sotta

    Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5558-5155
  2. Susan Duncan

    Department of Computational and Systems Biology, John Innes Centre, Norwich, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9581-1145
  3. Mayuki Tanaka

    Graduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan
    Competing interests
    The authors declare that no competing interests exist.
  4. Sato Takafumi

    Graduate School of Agricultural and Life Sciences, University of Tokyo, Tokyo, Japan
    Competing interests
    The authors declare that no competing interests exist.
  5. Athanasius FM Marée

    Department of Computational and Systems Biology, John Innes Centre, Norwich, United Kingdom
    For correspondence
    Stan.Maree@jic.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
  6. Toru Fujiwara

    Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
    For correspondence
    atorufu@mail.ecc.u-tokyo.ac.jp
    Competing interests
    The authors declare that no competing interests exist.
  7. Verônica A. Grieneisen

    Department of Computational & Systems Biology, John Innes Centre, Norwich, United Kingdom
    For correspondence
    veronica.grieneisen@jic.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6780-8301

Funding

Biotechnology and Biological Sciences Research Council (BB/J004553/1)

  • Athanasius FM Marée
  • Verônica A. Grieneisen

Japan Society for the Promotion of Science (25221202)

  • Toru Fujiwara

Engineering and Physical Sciences Research Council (BB/ L014130/1)

  • Susan Duncan

Japan Society for the Promotion of Science (15J11021)

  • Naoyuki Sotta

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

Reviewing Editor

  1. Maria J Harrison, Boyce Thompson Institute for Plant Research, United States

Version history

  1. Received: March 22, 2017
  2. Accepted: August 13, 2017
  3. Accepted Manuscript published: September 5, 2017 (version 1)
  4. Version of Record published: September 29, 2017 (version 2)

Copyright

© 2017, Sotta 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

  • 2,302
    views
  • 439
    downloads
  • 13
    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. Naoyuki Sotta
  2. Susan Duncan
  3. Mayuki Tanaka
  4. Sato Takafumi
  5. Athanasius FM Marée
  6. Toru Fujiwara
  7. Verônica A. Grieneisen
(2017)
Rapid transporter regulation prevents substrate flow traffic jams in boron transport
eLife 6:e27038.
https://doi.org/10.7554/eLife.27038

Share this article

https://doi.org/10.7554/eLife.27038

Further reading

    1. Computational and Systems Biology
    2. Ecology
    Kazushi Tsutsui, Ryoya Tanaka ... Keisuke Fujii
    Research Article

    Collaborative hunting, in which predators play different and complementary roles to capture prey, has been traditionally believed to be an advanced hunting strategy requiring large brains that involve high-level cognition. However, recent findings that collaborative hunting has also been documented in smaller-brained vertebrates have placed this previous belief under strain. Here, using computational multi-agent simulations based on deep reinforcement learning, we demonstrate that decisions underlying collaborative hunts do not necessarily rely on sophisticated cognitive processes. We found that apparently elaborate coordination can be achieved through a relatively simple decision process of mapping between states and actions related to distance-dependent internal representations formed by prior experience. Furthermore, we confirmed that this decision rule of predators is robust against unknown prey controlled by humans. Our computational ecological results emphasize that collaborative hunting can emerge in various intra- and inter-specific interactions in nature, and provide insights into the evolution of sociality.

    1. Computational and Systems Biology
    2. Developmental Biology
    Arya Y Nakhe, Prasanna K Dadi ... David A Jacobson
    Research Article

    The gain-of-function mutation in the TALK-1 K+ channel (p.L114P) is associated with maturity-onset diabetes of the young (MODY). TALK-1 is a key regulator of β-cell electrical activity and glucose-stimulated insulin secretion. The KCNK16 gene encoding TALK-1 is the most abundant and β-cell-restricted K+ channel transcript. To investigate the impact of KCNK16 L114P on glucose homeostasis and confirm its association with MODY, a mouse model containing the Kcnk16 L114P mutation was generated. Heterozygous and homozygous Kcnk16 L114P mice exhibit increased neonatal lethality in the C57BL/6J and the CD-1 (ICR) genetic background, respectively. Lethality is likely a result of severe hyperglycemia observed in the homozygous Kcnk16 L114P neonates due to lack of glucose-stimulated insulin secretion and can be reduced with insulin treatment. Kcnk16 L114P increased whole-cell β-cell K+ currents resulting in blunted glucose-stimulated Ca2+ entry and loss of glucose-induced Ca2+ oscillations. Thus, adult Kcnk16 L114P mice have reduced glucose-stimulated insulin secretion and plasma insulin levels, which significantly impairs glucose homeostasis. Taken together, this study shows that the MODY-associated Kcnk16 L114P mutation disrupts glucose homeostasis in adult mice resembling a MODY phenotype and causes neonatal lethality by inhibiting islet insulin secretion during development. These data suggest that TALK-1 is an islet-restricted target for the treatment for diabetes.