What remains of the evidence for auxin feedback on PIN polarity patterns?

Abstract

In light of recent findings, the feedback between auxin and PIN that plays a major role in models for self-organized auxin patterning requires revisiting.

Dear Editor,

Auxin patterns play critical roles in a wide range of processes in plant development and adaptation, with auxin maxima indicating the location of future lateral root forming competent sites (De Smet et al., 2007) and auxin asymmetries guiding various plant tropic responses (Galvan-Ampudia et al., 2013) to mention two examples.

While auxin production, degradation, and import into cells play important modulatory roles in plant auxin patterning (Ljung et al., 2005; Band et al., 2014; Di Mambro et al, 2017), a major role is ascribed to the PIN-FORMED auxin exporters (PINs) (Paponov et al., 2005). PIN proteins, due to their polar plasma membrane distribution, guide directional polar auxin transport (PAT) that strongly dictates tissue scale auxin patterns. Indeed, dynamic changes in PIN polarity patterns underlie initiation and termination of tropic responses (Rakusova et al., 2015) and formation of new organs and body axes during, for example, shoot phyllotaxis and lateral root formation (Du and Scheres, 2018). Major questions in the field thus revolve around which mechanisms govern PIN polarity patterns and dynamic changes therein.

Of particular interest is the question of whether and how auxin itself, whose pattern is strongly determined by PIN-mediated PAT, may affect PIN polarity patterns. In mathematical terms, a (non-linear) positive feedback between auxin and its transporter can give rise to the so-called bistability, enabling a stimulus to result in a switch in auxin levels and polarity level or orientation that is subsequently stably maintained (Figure 1A). Thus, a feedback loop between auxin and PINs would possibly enable self-organized auxin patterning and auxin-stimulus-dependent changes therein (Van Berkel et al., 2013). The question of self-organized auxin patterning has a long history of inspiring mathematical and computational modeling. Modeling attempts predominantly focused on explaining the formation of auxin maxima guiding phyllotactic leaf placement (Figure 1B), the auxin streams pre-defining vascular patterns (Figure 1C), and more recently their combination. In the case of phyllotaxis, the so-called “up-the-gradient” type feedback mechanism with cells polarizing their PIN proteins toward neighboring cells with highest auxin levels, can amplify small initial differences into regularly spaced auxin maxima (Smith et al., 2006; Jönsson et al., 2006; Newell et al., 2007). Put simply, by enhancing PIN levels on membranes facing the neighbor cell with the highest auxin levels, even more auxin is directed toward this cell, causing auxin maxima and PIN-mediated auxin streams toward them to first be amplified and then maintained. For venation, the canalization hypothesis put forward by Sachs (1969), suggesting that cells enhance their auxin efflux across the cellular membrane domains experiencing the largest auxin efflux, can form auxin flux canals through “with-the-flux” feedback (Mitchison 1980; Feugier et al., 2005; Fujita and Mochizuki, 2006; Stoma et al., 2008; Alim and Frey, 2010). Here, by enhancing PIN levels on membranes experiencing the highest efflux rates, this efflux is first further enhanced and then maintained.

Figure 1.

Auxin feedback on PIN levels and polarity as a driver of plant auxin patterning. A, Phase plane depiction of a two-variable auxin PIN model (for more details see e.g. Van Berkel et al., 2013). A, Positive nonlinear feedback from auxin on PIN levels results in bistability, with a stable low auxin-low PIN equilibrium (lower left black dot) separated from a stable high auxin-high PIN equilibrium (upper right black dot) by an instable intermediate auxin-intermediate PIN equilibrium (middle dot). B, In models, up-the-gradient polarization of PINs results in the regularly spaced auxin maxima observed during phyllotaxis. C, In models, with-the-flux polarization of PINs results in the formation of auxin canals observed during venation. D, Paciorek et al. (2005) reported a negative effect of auxin on PIN endocytosis. If the auxin effect is exerted by external, apoplastic auxin this results in a positive feedback and PIN polarization. E, Narasimhan et al. (2021) instead reported a positive, PIN2-specific effect on endocytosis. Here, to obtain a positive feedback between auxin and PIN that results in PIN polarization, the auxin effect would need to be exerted by an internal auxin.

While early models were largely phenomenological, recent models seek to explore the potential mechanistic basis underlying auxin (flux) sensing as well as mechanisms enabling both up-the-gradient and with-the-flux type patterning. Models have proposed intra-apoplast auxin gradient sensing (Wabnik et al., 2010) or mechanical sensing (Heisler et al., 2010) as an alternative to the sensing of neighboring cells auxin levels for which molecular mechanisms are hard to conceive. Additionally, models have proposed tallying mechanisms through which cells, either directly via the auxin transporters or via in parallel produced tally molecules, could measure auxin influx and efflux (Cieslak et al., 2015). Through letting extracellular auxin levels modulate the extent to which auxin efflux enhances PIN plasma membrane allocation, this tallying mechanism can generate both up-the-gradient and with-the-flux type patterns. Since the molecular identity and the location—intracellular, extracellular, or transmembrane—of the auxin concentration and/or flux sensor is unclear, determining the likelihood of these various proposed sensing mechanisms remains challenging.

One aspect common to all these models—implicit or explicit—is the assumption that feedback of auxin on PIN polarity patterns occurs through auxin affecting PIN membrane cycling dynamics. With the finding that auxin is a general inhibitor of endocytosis, and, thereby, also of PIN endocytosis (Paciorek et al., 2005), auxin-dependent PIN polarization appeared to have received its experimental support. Assuming a feedback of extracellular, apoplastic auxin levels on PIN endocytosis, this effect would give rise to the type of positive feedback necessary for self-organized patterning (Figure 1D). Following these findings, “up-the-gradient,” phyllotaxis type PIN polarization could arise from auxin levels of neighboring cells via their surrounding apoplast, reducing PIN endocytosis, while “with-the-flux patterning” could arise if, for example, an increase in external auxin levels could be read-out as an increased (ef)flux, resulting via reduced PIN endocytosis in a further increase in efflux.

Importantly, the results of Paciorek et al. (2005) heavily relied on the use of Brefeldin A (BFA), an inhibitor of endosome-to-plasma membrane trafficking, with observations of auxin-dependent decreased accumulation of cargos in BFA bodies interpreted as inhibited endocytosis. Recent studies by Jásik et al. (2016) using photoconvertible Dendra2 tagging of PIN2, and Paponov et al. (2019) further investigating the effects of the natural auxin indole-3-acetic acid on BFA-induced internalization raised substantial doubts on this interpretation, reporting no discernable effects of auxin on PIN2 endocytosis. The final blow to the interpretation that auxin inhibits general endocytosis, and thereby PIN internalization, comes from the group originally reporting this effect. Narasimhan et al. (2021) clearly demonstrated no measurable effect of auxin on general endocytosis rates by using Total Internal Reflection Fluorescence microscopy to directly observe individual clathrin-mediated endocytotic events. While the impact of this study on the field of plant cell biology is being discussed in an accompanying Commentary by Schwechheimer et al., this commentary deals with the consequences for models of self-organized auxin transport.

So what then is left of the idea that self-organized patterning may occur through feedback between auxin and PIN polarity? While auxin may not affect PIN polarity patterns by inhibiting membrane endocytosis rates, Jásik et al. (2016) reported that auxin reduces the rate at which newly synthesized PIN proteins arrive at the plasma membrane, and Narasimhan et al. (2021) demonstrate that auxin promotes PIN2 but not PIN1 endocytosis. This leaves the possibility that auxin impacts the polarity of at least certain PIN types, but through a different mechanism than previously thought (Figure 1E). Additional research will be needed to investigate the mechanistic basis of the observed effects as well as whether their impact on PIN membrane patterns is sufficient to support self-organized patterning, and which feedback mechanisms apply for the different PIN types.

In the search for experimental support for self-organized, reciprocal patterning of auxin and PINs it is important to realize what models are: simplifications of reality that are powerful tools for explaining complex phenomena. Thus, when searching for validation they should not be taken too literal. Indeed, a wealth of experimental data suggest that plants may “implement” “up-the-gradient” and “with-the-flux” type patterning not merely through auxin affecting PIN membrane cycling dynamics. Instead, plants may use a substantially more complex molecular machinery, containing transcription factors (e.g. MONOPTEROS; Bhatia et al., 2006), phosphorylation, and dephosphorylation activities (e.g. PINOID, D6 PROTEIN KINASE, and SERINE/THREONINE PROTEIN PHOSPHATASE 2A; Barbosa et al., 2018 ), membrane and cell wall composition, as well as cytoskeletal organization (Li et al., 2021), that we are far from truly understanding. Furthermore, the evidence for auxin-driven PIN polarization as the key determinant of phyllotaxis and venation patterning should be critically reappraised. Various studies suggest that, while PIN polarization and downstream auxin transport significantly enhance and regularize phyllotaxis and venation patterning, PINs appear to be less essential for these patterning processes than often assumed (Guenot et al., 2012; Ravichandran et al., 2020).

 

K.H.T. conceived and wrote the manuscript.