Integrating maths and plant science to explain how plant roots generate a hormone gradient

Integrating maths and plant science to explain how plant roots generate a hormone gradient
Biosensor imaging of root tip measuring GA gradient, showing a substantial GA increase in the elongation zone. Credit: University of Nottingham

The research team that developed a biosensor that first recorded that a distinct gradient of the plant growth hormone gibberellin correlated with plant cell size has now revealed how this distribution pattern is created in roots.

Starting when a plant embryo forms within a seed and continuing throughout the plant lifecycle, undifferentiated stem cells undergo radical transformations into specialised root, stem, leaf and reproductive organ cells. This transformation relies on a suite of molecules called phytohormones that, much like human hormones, can move between cells and tissues and trigger distinct biological processes across the body plan. While it was not known at the time, mutations involving the gibberellin class of phytohormones were behind the development of many of the high-yielding semi-dwarf wheat and rice varieties that helped drive the Green Revolution in the 1950s and 60s.

The mutations resulted in shorter stems, enabling the to redirect energy into growing grain rather than stems and leaves and also prevented lodging caused when tall spindly plants fall over before harvest. We now know through advances in molecular and genetic tools that gibberellins (GA) regulate growth and development throughout the plant lifecycle—from germinating seeds, elongating stems and roots, to the formation of flowers. It is therefore not surprising that GA continues to attract the interest of plant scientists investigating how hormones control plant growth and as a possible target for future crop improvements.

A collaboration between the research teams of Alexander Jones, Sainsbury Laboratory at the University of Cambridge, and Leah Band and Markus Owenat the University of Nottingham, explain the biochemical steps responsible for a distinctive GA distribution seen in plant growth in PNAS today. Their research provides a valuable model for understanding GA patterns in other plant tissues and its related influence on plant development.

"As key regulators of plant growth and development, understanding plant hormones is crucial for understanding plant growth dynamics, how they respond to their environment, and to help identify future targets for improved food security," said first-authorDr Annalisa Rizza.

"GA is known to regulate cell multiplication and cell expansion to increase the growth root rate , but we as yet don't have a full picture of how. We had previously observed there was a distinct longitudinal gradient of GA from root tip to root elongation zone that correlated with cell size in growing roots of the model plant Arabidopsis thaliana. We also observed an exogenous-GA-generated gradient with faster accumulation of GA in larger cells, but we did not know how these patterns were being created."

To help find the answer, the researchers combined mathematical models with experimental observations to take a deep dive into the cells to see what biochemical and/or transport activities might be responsible.

Differential cell permeability time lapse movie summary: Illustrates that differential cell permeability is the key to creating the exogenous-GA-generated gradient.Technical detail: The time-course shows a root treated with nlsGPS1 growing in Rootchip18S with GA at standard (pH 5.7) then low pH (pH 4.5). At pH 5.7 (8s of the video) the exogenous GA4 accumulated faster in the elongation zone, but at low pH (pH 4.5) (16s of the video) a fast and strong accumulation of exogenous GA4 also occurs in the meristematic zone suggesting that raised apoplastic pH in the meristematic zone limits exogenous GA4 accumulation. Credit: University of Nottingham

Mathematicians from the University of Nottingham, Dr. Leah Band and Professor Markus Owen, developed a computational model to simulate the hormone GA dynamics in the plant root, which enabled them to test how different processes contribute to the GA gradient. They compared the output of their computer simulations to the experimental observations from the GA biosensor developed by the Jones research group.

"Having considered various scenarios, we found that the model predictions could only agree with the GA biosensor data provided the elongation-zone cells have high GA synthesis and increased permeability" added Dr. Band.

The next step was to test these predictions through experiments. Using the GA biosensor, the team examined the key steps involved in GA biosynthesis and pinpointed key rate limiting steps associated with enzymes involved in GA biosynthesis and that differential permeability in cell membranes were also playing a key role in creating GA gradients.

They showed that each region in the root has a different combination of important regulatory steps, a level of information that was previously not accessible to researchers. Even more surprising, an important step that was generally thought to be rate limiting was the least important for setting the position and slope of the root GA gradient.

In addition to local synthesis of GA, the ability of GA to move between cells is also considered an important factor. The team looked at the permeability of cell membranes to GA and found differences in cell permeability were contributing to the creation of the exogenous-GA-generated-gradient.

"Tiny amounts of these chemical hormones can reprogramme a plant cell and completely change its growth and physiology. Which plant produce these chemicals? Where and when do these chemical hormones go? These are the core questions that we are trying to answer," explained Dr. Jones.

"These findings help explain which components are playing the important roles contributing to how plants control the distribution of a mobile hormone. There are multiple components involved in this—processes that make more GA, take it away and transport it from and into the cell all play a part. These can then be targets for engineering nuanced changes. The Green Revolution was great, but there are that could be eliminated with more fine scale perturbations in the future.

"This detailed understanding of how GA distribution relates to root growth and how these gradients are controlled provides a valuable model for progressing our understanding of how hormone distributions influence how grow."

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More information: Differential biosynthesis and cellular permeability explain longitudinal gibberellin gradients in growing roots. PNAS, DOI: 10.1073/pnas.1921960118
Citation: Integrating maths and plant science to explain how plant roots generate a hormone gradient (2021, February 16) retrieved 11 May 2021 from
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