Temperature Variability Is Integrated by a Spatially Embedded Decision-Making Center to Break Dormancy in Arabidopsis Seeds

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Temperature Variability Is Integrated by a Spatially Embedded Decision-Making Center to Break Dormancy in Arabidopsis Seeds Temperature variability is integrated by a spatially embedded decision-making center to break dormancy in Arabidopsis seeds Alexander T. Tophama, Rachel E. Taylora, Dawei Yanb, Eiji Nambarab, Iain G. Johnstona, and George W. Bassela,1 aSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom; and bDepartment of Cell & Systems Biology, University of Toronto, Toronto, ON, Canada M5S 3B2 Edited by Maarten Koornneef, Max Planck Institute for Plant Breeding Research, Cologne, Germany, and approved May 11, 2017 (received for review March 22, 2017) Plants perceive and integrate information from the environment to directly interact to antagonize one another, but rather modulate time critical transitions in their life cycle. Some mechanisms underlying their own and one another’s abundance through a complex series of this quantitative signal processing have been described, whereas feedbacks onto hormone synthesis and degradation gene expression others await discovery. Seeds have evolved a mechanism to integrate (16). This study seeks to understand how the endogenous hormone environmental information by regulating the abundance of the integration system in seeds acts to integrate information from the antagonistically acting hormones abscisic acid (ABA) and gibberellin environment into developmental fate decisions. (GA). Here, we show that hormone metabolic interactions and their feedbacks are sufficient to create a bistable developmental fate Results switch in Arabidopsis seeds. A digital single-cell atlas mapping We explored hormone metabolic interactions underlying the con- the distribution of hormone metabolic and response components trol of seed dormancy using a mathematical modeling approach. revealed their enrichment within the embryonic radicle, identifying Feedbacks between GA and ABA responses onto both hormone the presence of a decision-making center within dormant seeds. The synthesis and degradation gene expression were identified using responses to both GA and ABA were found to occur within distinct publicly available microarray data generated from whole seeds (17, cell types, suggesting cross-talk occurs at the level of hormone 18) (Fig. 1A and SI Appendix, Supplementary Fig. 1A). These re- transport between these signaling centers. We describe theoreti- lationships were encoded using ordinary differential equations cally, and demonstrate experimentally, that this spatial separation (ODEs) to capture the dynamic metabolic interactions governing within the decision-making center is required to process variable these hormone levels (SI Appendix, Supplementary Figs. 1 and 2). temperature inputs from the environment to promote the breaking Terms describing the sensitivity to each hormone, as defined by the of dormancy. In contrast to other noise-filtering systems, including ability to respond to these hormone levels, were also included (Fig. human neurons, the functional role of this spatial embedding is to 1A). The model predicts how the metabolic poise of cells will leverage variability in temperature to transduce a fate-switching change, given an initial condition, and the predicted dynamics can be visualized as attractor basins (Fig. 1 B and C) describing how a signal within this biological system. Fluctuating inputs therefore seed’s state evolves from a given condition. These attractor basins act as an instructive signal for seeds, enhancing the accuracy with are represented as 2D plots with the relative abundance of ABA which plants are established in ecosystems, and distributed compu- and GA on the axes. Indicated within these plots are lines that tation within the radicle underlies this signal integration mechanism. indicate how the system will shift when it is in any given state (Fig. 1 B and C). These lines ultimately lead toward convergence points seed | dormancy | signal integration | distributed control | variability that represent a stable resting state of the system. The shape of lant development is guided by the perception of diverse en- Significance Pvironmental cues and their integration into key transitions (1). One major decision in the life cycle of plants is when to com- Both plants and animals make decisions in response to the envi- mence flowering (2, 3). The other major decision is when to initiate ronment to maximize their fitness. Plants use dormancy in seeds a new plant (4). This decision is achieved through seed dormancy, to move through time and space, and timing of the transition to an adaptive trait that determines where and when plants are germination is influenced by external cues, including temperature. established, and the entry and exit of plants into and out of eco- Here, we report the presence of a decision-making center within systems (4). The germination of seeds also represents the starting the root tip of dormant seeds and demonstrate that it shares a point for the vast majority of world agriculture, having great in- similar configuration as some systems within the human brain. dustrial, economic, and societal significance (5). During seed development, dormancy level is established in Unlike in humans, where this spatial structure is used to filter out response to the environment experienced by the mother plant noisy inputs from the environment, seeds use this arrangement to (6). This control is achieved through the quantitative regulation harness fluctuating temperatures and stimulate the termination of genetically encoded regulatory factors, including the DOG1 of dormancy. Variable inputs therefore act as an instructive signal locus (7, 8), and hormone abundance and sensitivity (9, 10). for seeds, enhancing the accuracy with which plants are estab- Following their release from the mother plant, the control of lished in ecosystems. dormancy in seeds was proposed to be mediated by the activity of antagonistically acting factors (11). Later work identified this en- Author contributions: I.G.J. and G.W.B. designed research; A.T.T. and R.E.T. performed dogenous signal integration mechanism to consist of the antago- research; D.Y. and E.N. contributed new reagents/analytic tools; A.T.T., I.G.J., and G.W.B. analyzed data; and G.W.B. wrote the paper. nistically acting hormone abscisic acid (ABA) promoting dormancy and gibberellin (GA) promoting germination (9, 12). The relative The authors declare no conflict of interest. abundance of these hormones constitutes a metabolic thresholding This article is a PNAS Direct Submission. mechanism that regulates the developmental fate of this system (10, Freely available online through the PNAS open access option. 13). Mutual inhibition is sufficient to generate a one-way develop- 1To whom correspondence should be addressed. Email: [email protected]. mental fate switch (14) and has been described as a mechanism This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10. PLANT BIOLOGY used to regulate cell fate (15). ABA and GA, however, do not 1073/pnas.1704745114/-/DCSupplemental. www.pnas.org/cgi/doi/10.1073/pnas.1704745114 PNAS | June 20, 2017 | vol. 114 | no. 25 | 6629–6634 Downloaded by guest on October 1, 2021 removal of ABA or addition of GA is sufficient to drive the system into the high-GA, low-ABA germination state. This dynamic model thus captures the bistable developmental fate switch in seeds, and recapitulates fate-switching observations fol- lowing physiological and pharmacological interventions. We next sought to understand how the spatial context of this decision-making module within the multicellular embryo body plan allows the plant to process environmental information. Genetically encoded components of GA and ABA synthesis, degradation, sensitivity, and response have been identified previously (4) (SI Appendix, Supplementary Fig. 1 and Supplementary Table 1). It has been established that germination is ultimately initiated within the Arabidopsis embryo and that this process is informed by the en- dosperm (10, 12, 21, 22). The cellular locations underlying this decision-making process remain unknown, however. Using 3D digital single-cell analysis, we localized ABA and GA hormone synthesis, degradation, and response reporter constructs in pri- mary dormant embryos (23, 24) to reveal the cellular basis of de- cision making in seeds (Fig. 2 A–I and SI Appendix, Supplementary Figs. 4–6). All reporters investigated were enriched within the em- bryo radicle in primary dormant Arabidopsis seeds (SI Appendix, Supplementary Figs. 4 and 5). This result indicates that the subset of Fig. 1. Mathematical model of hormone metabolic interactions underlying cells constituting the radicle constitutes a decision-making center fate switching in Arabidopsis seeds. (A) Schematic outlining the relationships within primary dormant Arabidopsis seeds. between the components of the hormone metabolic model. The hormone The activity of the ABA-responsive RAB18 promoter demon- ABA is shown in red and bold, and the hormone GA is shown in green and strated the transcriptional response to this hormone to be localized bold. The response to each of these hormones, each comprising expression to the outer cell layers of the embryo radicle, principally the root of several genes, is denoted by the subscript R (ABAR and GAR). The deg- cap and epidermis (Fig. 2A). The promoter of the ABA response- radation of each hormone is indicated by the subscript D (ABAD and GAD), promoting transcription factor ABI3 was also found to be principally synthesis is indicated by the subscript S (ABAS and GAS), and sensitivity
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