Next-generation ABACUS biosensors reveal cellular ABA dynamics driving root growth at low aerial humidity

Rowe, James; Grangé-Guermente, Mathieu J; Expósito-Rodríguez, Marino; Wimalasekera, Rinukshi; Lenz, Martin O.; Shetty, K.N.; Cutler, Sean R.; Jones, Alexander M.

doi:10.1101/2022.10.19.512731

Cited by 5 publications

(9 citation statements)

References 66 publications

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“…By contrast, zone 3 is active in solute translocation through phloem but inactive in phloem unloading ( 19 ). Another parallel study also reports similar expression patterns of nlsABACUS when exogenously applied ABA unloads through phloem ( 18 ). The pattern of elevated ABA in outer root tissues of zones 1 and 2 also coincides with the root-tip region, where new lateral root primordia initiate (termed the basal meristem or oscillatory zone) ( 20 , 21 ).…”

Section: Aba Moves Outward After a Xerobranching Stimulusmentioning

confidence: 59%

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Hydraulic flux–responsive hormone redistribution determines root branching

Mehra

Pandey

Melebari

et al. 2022

Science

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Plant roots exhibit plasticity in their branching patterns to forage efficiently for heterogeneously distributed resources, such as soil water. The xerobranching response represses lateral root formation when roots lose contact with water. Here, we show that xerobranching is regulated by radial movement of the phloem-derived hormone abscisic acid, which disrupts intercellular communication between inner and outer cell layers through plasmodesmata. Closure of these intercellular pores disrupts the inward movement of the hormone signal auxin, blocking lateral root branching. Once root tips regain contact with moisture, the abscisic acid response rapidly attenuates. Our study reveals how roots adapt their branching pattern to heterogeneous soil water conditions by linking changes in hydraulic flux with dynamic hormone redistribution.

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Section: Aba Moves Outward After a Xerobranching Stimulusmentioning

confidence: 59%

“…To visualize whether, when, and where ABA movement occurs after a xerobranching stimulus, we used a sensitive Förster resonance energy transfer (FRET)–based hormone biosensor ( 18 ), nlsABACUS2, which displays increased fluorescence emission ratio upon ABA binding (fig. S6).…”

Section: Aba Moves Outward After a Xerobranching Stimulusmentioning

confidence: 99%

Hydraulic flux–responsive hormone redistribution determines root branching

Mehra

Pandey

Melebari

et al. 2022

Science

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“…As FRET biosensor re-engineering can deliver improved variants (e.g. (Rowe et al, 2023)), we aimed to increase GPS1 reversibility and orthogonality, i.e. reduce potential interference with and by endogenous signalling, via re-engineering the GID1-DELLA interaction interface.…”

Section: Resultsmentioning

confidence: 99%

Gibberellin Perception Sensors 1 and 2 reveal cellular GA dynamics articulated by COP1 and GA20ox1 that are necessary but not sufficient to pattern hypocotyl cell elongation

Griffiths,

Rizza,

Tang

et al. 2023

Preprint

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The phytohormone gibberellin (GA) is critical for environmentally sensitive plant development including germination, skotomorphogenesis and flowering. The FRET biosensor GIBBERELLIN PERCEPTION SENSOR1, which permits single-cell GA measurementsin vivo, was previously used to observe a GA gradient correlated with cell length in dark-grown but not light-grown hypocotyls. We sought to understand how light signalling integrates into cellular GA regulation. Here we show how the E3 ligase COP1 and transcription factor HY5 play central roles in directing cellular GA distribution in skoto- and photomorphogenic hypocotyls, respectively. We demonstrate that the expression pattern of biosynthetic enzymeGA20ox1is the key determinant of the GA gradient in dark-grown hypocotyls and is a target of COP1 signalling. We engineered a second generation GPS2 biosensor with improved orthogonality and reversibility to show the cellular pattern of GA depletion during the transition to growth in the light. This GA depletion partly explains the resetting of hypocotyl growth dynamics during photomorphogenesis. Achieving cell-level resolution has revealed how GA distributions link environmental conditions with morphology and morphological plasticity and the GPS2 biosensor is an ideal tool for GA studies in further conditions, organs and plant species.

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“…Fluorescence or bioluminescent reporters for candidate genes thought to be involved in decision-making could be followed throughout time and correlated with the seed's decision to germinate or not and with its germination time. Fluorescence resonance energy transfer-based biosensors for ABA and GA offer the potential to image GA and ABA dynamics over time at the single-cell level in individual seeds [73–75], which could help to reveal the cellular basis for between-seed variability. However, the opacity of the seed coat currently obstructs our ability to perform live imaging of intact seeds [7].…”

Section: Testing Models Of Germination Time Variabilitymentioning

confidence: 99%

Bet-hedging and variability in plant development: seed germination and beyond

Abley,

Goswami,

Locke

2024

Phil. Trans. R. Soc. B

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When future conditions are unpredictable, bet-hedging strategies can be advantageous. This can involve isogenic individuals producing different phenotypes, under the same environmental conditions. Ecological studies provide evidence that variability in seed germination time has been selected for as a bet-hedging strategy. We demonstrate how variability in germination time found in Arabidopsis could function as a bet-hedging strategy in the face of unpredictable lethal stresses. Despite a body of knowledge on how the degree of seed dormancy versus germination is controlled, relatively little is known about how differences between isogenic seeds in a batch are generated. We review proposed mechanisms for generating variability in germination time and the current limitations and new possibilities for testing the model predictions. We then look beyond germination to the role of variability in seedling and adult plant growth and review new technologies for quantification of noisy gene expression dynamics. We discuss evidence for phenotypic variability in plant traits beyond germination being under genetic control and propose that variability in stress response gene expression could function as a bet-hedging strategy. We discuss open questions about how noisy gene expression could lead to between-plant heterogeneity in gene expression and phenotypes. This article is part of a discussion meeting issue ‘Causes and consequences of stochastic processes in development and disease’.

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Next-generation ABACUS biosensors reveal cellular ABA dynamics driving root growth at low aerial humidity

Cited by 5 publications

References 66 publications

Hydraulic flux–responsive hormone redistribution determines root branching

Hydraulic flux–responsive hormone redistribution determines root branching

Gibberellin Perception Sensors 1 and 2 reveal cellular GA dynamics articulated by COP1 and GA20ox1 that are necessary but not sufficient to pattern hypocotyl cell elongation

Bet-hedging and variability in plant development: seed germination and beyond

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