Samuel T. N. Aroney
Philip S. Poole
Carmen Sánchez-Cañizares- Department of Plant Sciences, University of Oxford, Oxford, United Kingdom
Bacteria navigate their way often as individual cells through their chemical and biological environment in aqueous medium or across solid surfaces. They swim when starved or in response to physical and chemical stimuli. Flagella-driven chemotaxis in bacteria has emerged as a paradigm for both signal transduction and cellular decision-making. By altering motility, bacteria swim toward nutrient-rich environments, movement modulated by their chemotaxis systems with the addition of pili for surface movement. The numbers and types of chemoreceptors reflect the bacterial niche and lifestyle, with those adapted to complex environments having diverse metabolic capabilities, encoding far more chemoreceptors in their genomes. The Alpha-proteobacteria typify the latter case, with soil bacteria such as rhizobia, endosymbionts of legume plants, where motility and chemotaxis are essential for competitive symbiosis initiation, among other processes. This review describes the current knowledge of motility and chemotaxis in six model soil bacteria: Sinorhizobium meliloti, Agrobacterium fabacearum, Rhizobium leguminosarum, Azorhizobium caulinodans, Azospirillum brasilense, and Bradyrhizobium diazoefficiens. Although motility and chemotaxis systems have a conserved core, rhizobia possess several modifications that optimize their movements in soil and root surface environments. The soil provides a unique challenge for microbial mobility, since water pathways through particles are not always continuous, especially in drier conditions. The effectiveness of symbiont inoculants in a field context relies on their mobility and dispersal through the soil, often assisted by water percolation or macroorganism movement or networks. Thus, this review summarizes the factors that make it essential to consider and test rhizobial motility and chemotaxis for any potential inoculant.
Introduction
There are several strategies bacteria use to actively navigate their environment, motile forces produced either through pili retraction or flagella rotation. Pili drive twitching motility across surfaces by extending, adhering and retracting to pull the bacterium forward (Mattick, 2002), whereas flagella are rigid helical structures, anchored to the cell wall and rotated by a protein motor to produce thrust (Macnab and Aizawa, 1984). This enables the bacteria to move sporadically as individuals (swimming) or continuously as an organized group (swarming) (reviewed by Henrichsen, 1972). Alternatively, organized and continuous movement can be driven by motor proteins anchored to a surface or nearby bacterium, moving along helical tracks in the inner membrane and pushing the cell forwards (gliding) (Nan and Zusman, 2016). Other, passive strategies have also been described that are driven by the expansion of a growing culture, with the bacteria either producing substances to reduce friction and enable mass movement (sliding) or producing an aggregate capsule from which cells are ejected (darting) (Henrichsen, 1972; Pollitt and Diggle, 2017).
Active bacterial motility tends to be controlled by chemotaxis systems that respond to different stimuli, allowing bacteria to migrate to optimal environments. This occurs through sensing the binding of a ligand to its cognate chemoreceptors (methyl accepting chemotaxis proteins, MCPs). In response to signal transduction, motility systems produce runs, tumbles, reverses, pauses and other phenomena that together form a biased three-dimensional walk. Although tumbles, reverses and pauses are random reorientation events, the movement of bacteria is biased by controlling the frequency of these events. Some bacterial flagella rotate bidirectionally, others unidirectionally, to bias stopping and starting (Kearns, 2010).
An impressive diversity of motility mechanisms has evolved in prokaryotes. Among Gram-negative bacteria, Escherichia coli is the best understood model of flagella-based swimming. Also belonging to this group are a variety of nitrogen-fixing soil bacteria, known as rhizobia, that have evolved several differences from the E. coli model and are compared in this review. These include Sinorhizobium meliloti RU11 (also Ensifer meliloti), which nodulates alfalfa (Medicago sativa) and Medicago truncatula (Meade et al., 1982); Agrobacterium fabacearum H13-3 (formerly R. lupini H13-3), which nodulates Lupinus luteus, the European yellow lupin (Delamuta et al., 2020); Rhizobium leguminosarum bv. viciae 3841, which nodulates pea (Pisum sativum), various Vicia, lentils (Lens culinaris), grass peas and sweet peas (various Lathyrus) (Young et al., 2006); Azorhizobium caulinodans ORS571, which nodulates Sesbania rostrata (Lee et al., 2008); Azospirillum brasilense Sp7, a non-endosymbiote but a microaerobic diazotroph that colonizes the rhizospheres of grasses (Zhulin and Armitage, 1993); and finally, Bradyrhizobium diazoefficiens USDA110 (formerly B. japonicum), which nodulates soybean (Glycine max) (Kaneko et al., 2002). The relevance of motility and chemotaxis for rhizobia, both as free-living bacteria in the soil and as symbiotic cells inside plant nodules, is then discussed in the context of rhizobial inoculants and the importance of evaluating the chemotaxis and motility properties of strains used in the field.
The Escherichia coli Motility Model and Marine Bacteria Motility
E. coli typically have 5–10 flagella protruding from various points around the cell body (peritrichous flagellation) that form an integrated bundle oriented in the same direction (Macnab and Aizawa, 1984). Each flagellum consists of a basal body, hook and filament (see Figure 1A). The basal body is made up of a central hollow rod surrounded by anchoring stacks of rings (Wang et al., 2012). At the base of the basal body is the motor, where torque is produced via transmembrane gradients of H+ ions, and in other bacterial species, also of Na+ or K+ ions (Hirota and Imae, 1983; Armitage and Schmitt, 1997; Kojima and Blair, 2001; Terahara et al., 2012). This motor is further subdivided into the rotor, the proteins that rotate with the flagella, and the stator, the proteins driving rotation. The hook is a highly curved helix; a flexible coupling that connects the central rod to the filament. The filament is a left-handed helix consisting of a single protein, flagellin. When rotated in a counterclockwise (CCW) manner, the flagella provide a powerful forward thrust. However, if the rotary direction is flipped to a clockwise (CW) direction, a polymorphic change is induced that causes a right-angled bend in the filament to propagate along the flagella. This compels the bundle of flagella to separate, causing a period of rotational movement due to the low impact of inertia at microbial scales. This process is called a tumble and allows bacteria to change their direction of movement (Macnab and Aizawa, 1984; Armitage and Schmitt, 1997; Berg, 2003; Stock et al., 2012; Wang et al., 2012). The “run and tumble” mechanism produces a movement called a “biased random walk,” with the rate of tumbles being random but biased by the chemotaxis system (Sourjik and Wingreen, 2012).
Figure 1. Escherichia coli and rhizobial motility models. (A) The E. coli peritrichous flagella provides thrust through counterclockwise rotation and tumbles through clockwise rotation causing the flagella bundle to dissociate. (B) The Sinorhizobium meliloti and Agrobacterium fabacearum peritrichous flagella provide thrust through clockwise rotation and tumbles through speed modulation causing the flagella bundle to dissociate. This speed modulation is controlled by MotC, stabilized by MotE. The reversed direction is due to the heterogeneous filament proteins producing a right-handed striated filament. (C) The Rhizobium leguminosarum subpolar flagella also provide thrust through clockwise rotation and tumbles through speed modulation, although they do not form a flagella bundle. The R. leguminosarum flagella also have heterogeneous filaments, although they are not visibly striated. (D) The Azorhizobium caulinodans flagella are not well-studied but may match either (B) or (C), having the MotC and MotE accessory proteins. (E) Azospirillum brasilense produces two flagella types: a polar flagellum covered by a polysaccharide sheath that provides thrust through counterclockwise rotation, reverses through clockwise rotation and can pause by stopping the motor; and lateral flagella matching (A). (F) Bradyrhizobium diazoefficiens produces two flagella types: a subpolar flagellum that provides thrust through counterclockwise rotation and reverses through clockwise rotation; and lateral flagella matching (C) that can cause tumbles.
In contrast, marine bacteria such as Vibrio alginolyticus tend to reverse their swimming direction instead of tumbling, by stably rotating their polar or subpolar flagella in the opposite direction and dragging the cell body. This “run and reverse” mechanism can also produce a “biased random walk” by controlling the frequency of reversal movements, although it is reliant on Brownian motion to reorient the cell body (Mitchell et al., 1996). Vibrio spp. (including V. alginolyticus) were recently discovered to also ‘flick’ the cell body after a reversal, caused by buckling of the hook adapter, and resulting in a tumble-like random reorientation of the cell (Xie et al., 2011; Son et al., 2013; Taktikos et al., 2013). Indeed, up to 60% of marine bacteria may actually be performing “run, reverse, and flick” motility (Son et al., 2013).
The Complex Flagella of Sinorhizobium meliloti and Agrobacterium fabacearum
S. meliloti and A. fabacearum are both well-studied Gram-negative swimming bacteria. Although their flagella are built in a similar fashion to those in E. coli and in similar numbers, there are several important differences (see Figure 1B). The main difference is the shape of the filament; S. meliloti and A. fabacearum's filaments are formed by right-handed helices and as such forward thrust is produced by CW rotation (Gotz et al., 1982; Armitage and Schmitt, 1997; Sourjik and Schmitt, 1998). They also have increased rigidity, likely due to the use of several distinct flagellin proteins. Half of the flagella mass consists of the FlaA protein which forms heterodimers with two or three other proteins: FlaB, FlaD and, in S. meliloti, FlaC (Scharf et al., 2001). The rigid S. meliloti and A. fabacearum flagella may be adapted for use in the relatively viscous medium of soil, compared to the native habitat of E. coli, the human gut (Armitage and Schmitt, 1997; Attmannspacher et al., 2005). In addition, they are unable to switch the rotary direction of the motor. Instead, they modulate the speed of rotation through an extra stator protein, MotC, that binds MotB in the periplasm and may, thus, regulate the speed of the motor. A further additional protein, MotE, stabilizes MotC and may target the protein to the flagellar motor (Eggenhofer et al., 2004). The product of another nearby gene was originally designated as the novel motor protein MotD; however, mutational analysis revealed its function to be that of FliK, the flagellar hook length regulator that controls the switch from secretion of hook-type substrates to filament-type substrates (Eggenhofer et al., 2006).
Despite being unable to cause a tumble in the same way as E. coli due to their unidirectional flagella, S. meliloti and A. fabacearum can still tumble. The bacteria achieve this by asynchronously modulating the rotational speed of their flagella, causing their bundle of flagella to disassociate, causing a tumble (Armitage and Schmitt, 1997; Attmannspacher et al., 2005). The ability to modulate the speed of their flagella also enables the bacteria to increase cell velocity in addition to reducing tumbling in response to high attractant concentrations (Meier et al., 2007).
The Smooth Flagella of Rhizobium leguminosarum and Azorhizobium caulinodans
Motility in R. leguminosarum and A. caulinodans appears to be closely related to that in S. meliloti, containing all the accessory genes (see Figures 1C,D). R. leguminosarum appear to only have 1-2 subpolar flagella with a smooth surface, lacking the helical perturbations found in S. meliloti (Tambalo et al., 2010a). A. caulinodans also have 1–3 smooth flagella, although they are arranged around the cell in a peritrichous arrangement (Liu et al., 2018a). The protein structure of the R. leguminosarum filament is closely related to S. meliloti, again consisting of heterologous pairs of a main flagellin (FlaA) and multiple secondary flagellin (FlaB, FlaC, FlaE, and FlaH) (Scharf et al., 2001; Tambalo et al., 2010a). Indeed, this bacterium is also unable to change the direction of rotation, so directional changes are driven by modulating the rotational speed of a single or pair of flagella, although the mechanism is currently unknown (Miller et al., 2007). However, R. leguminosarum still appears to tumble approximately every 3 s under homogeneous conditions, while it swims at approximately 38 μm/s (Miller et al., 2007). The protein structure of the A. caulinodans filament is unknown, but it does encode three flagellin copies. In addition, although the rotation direction of the flagella of A. caulinodans is unknown, since it encodes both motC and motE, it likely also modulates the speed of rotation (Lee et al., 2008).
The Composite Flagellar Systems of Azospirillum brasilense and Bradyrhizobium diazoefficiens
Both A. brasilense and B. diazoefficiens encode two flagella systems, one producing a single polar or subpolar flagellum and the other producing multiple lateral flagella (see Figures 1E,F (Zhulin and Armitage, 1993; Kaneko et al., 2002). The flagellins forming the lateral flagella are encoded by laf1 in A. brasilense and, lafA1 and lafA2 in B. diazoefficiens and are all 300–400 amino acids long, similar in size to other rhizobia (Moens et al., 1995a,b; Kanbe et al., 2007). In contrast, the flagellins forming the polar flagella are encoded by fla1 in A. brasilense and, fliC1, fliC2, fliC3, and fliC4 in B. diazoefficiens and are all 600–800 amino acids long, producing thicker filaments with bidirectional rotation (Zhulin and Armitage, 1993; Quelas et al., 2016). In addition, the lateral flagella of B. diazoefficiens were found to be more closely related to the flagella of other rhizobia than the divergent polar flagellum (Garrido-Sanz et al., 2019). Indeed, the B. diazoefficiens lateral flagella can only rotate in a single direction and their cluster also encodes motC and motE (Kanbe et al., 2007). The rotation direction of the A. brasilense lateral flagella is unknown but the cluster does not encode motC and motE. A further difference is that the polar flagellum of A. brasilense is covered with a polysaccharide sheath not found in other rhizobia (Moens et al., 1995b; Burygin et al., 2007; Belyakov et al., 2012). Glycosylation of flagella has been linked to avoiding plant immunity in Pseudomonas syringae (Takeuchi et al., 2003; Taguchi et al., 2009; Iwashkiw et al., 2013). In contrast, other rhizobial flagellin are sufficiently divergent from pathogenic flagellins to avoid a plant response (Felix et al., 1999). Perhaps the polar flagellum of A. brasilense requires glycosylation to prevent plant detection, in which case, the subpolar flagellum of B. diazoefficiens may be similarly glycosylated. Two flagellin modification genes, flmA and flmB, were found to be essential for the formation of the A. brasilense polar flagellum (Rossi et al., 2016). In addition to having a similar composite system, the physical properties of the A. brasilense and B. diazoefficiens lateral flagella and separately their polar flagella were found to be nearly identical and were classified into the same groups (Fujii et al., 2008). In contrast, the S. meliloti flagella were divergent from these groups, potentially due to their complex, striated structure (Fujii et al., 2008).
The swarming motility of both A. brasilense and B. diazoefficiens are driven mainly by the lateral flagella, with A. brasilense only producing lateral flagella on solid or semi-solid surfaces (Zhulin and Armitage, 1993; Covelli et al., 2013). The swimming motility of A. brasilense is mixed, following mainly “run and reverse” and “run, reverse, and flick” motility with occasional pauses and reduced swimming speed in response to attractants (chemokinesis) driven mainly by the polar flagellum (Zhulin and Armitage, 1993; Mukherjee et al., 2019). The swimming motility of B. diazoefficiens is similarly mixed, following 50% “run and reverse,” 30% “run, reverse, and flick” and, interestingly, 20% “run and tumble” (Quelas et al., 2016). The reversals and flicks were driven by the polar flagellum, whereas the tumbles were produced by the lateral flagella. The composite flagellar systems of B. diazoefficiens thus produce a composite motility performance.
Rhizobial Pili Systems
In addition to flagella, S. meliloti, A. fabacearum, R. leguminosarum, A. brasilense and B. diazoefficiens encode type IV pili on their chromosomes, with S. meliloti and B. diazoefficiens encoding additional, truncated clusters (Krehenbrink and Downie, 2008; Wibberg et al., 2011; Wisniewski-Dye et al., 2011; Zatakia et al., 2014; Mongiardini et al., 2016). The main cluster of B. diazoefficiens is split with the tadE, tadF, and tadG genes located almost 3 Mb away from the remaining genes (Mongiardini et al., 2016). A. caulinodans does not encode a pili system (Lee et al., 2008). Each species' main cluster displays high homology to the tad systems of Aggregatibacter actinomycetemcomitans and Caulobacter crescentus (Tomich et al., 2007; Clock et al., 2008; Imam et al., 2011). Beyond bioinformatic characterization, very little research has been conducted on rhizobial pili systems. A. brasilense was found to form polar pili bundles that are required for biofilm formation (Shelud'ko and Katsy, 2001; Wisniewski-Dye et al., 2011). Interestingly, deletion of pilA1, the integral pilin subunit of the chromosomal cluster of S. meliloti, was found to reduce competitive nodulation of Medicago sativa plants (Zatakia et al., 2014). In addition, the TadG protein of B. diazoefficiens has some sequence similarity to Bradyrhizobium lectin BJ38, which is important for soybean root adhesion (Loh et al., 1993; Ho et al., 1994; Mongiardini et al., 2016). This indicates that there is a role for pili in legume symbiosis, perhaps during root colonization.
The Escherichia coli Chemotaxis Model
Chemotaxis involves regulating motility through variations in the concentration of metabolically-relevant chemicals, being either attractants (compounds which benefit the bacteria) or repellents (those compounds with negative effects). Bacterial size is insufficient to spatially sense concentration gradients at swimming speeds so, instead, concentrations are compared temporally (Porter et al., 2011). Bacteria bias their movements toward high concentrations of attractants by reducing their tumbles, and away either from low concentrations of attractants or high concentrations of repellents by increasing their tumbles.
The core of the chemotaxis response in E. coli is the phosphorylation of the response regulator CheY by the histidine kinase CheA in response to negative signal transduction from the chemoreceptor proteins. The chemoreceptors tend to sense in the periplasm and form a coiled coil of about 30–40 heptads (7 amino acid repeats) in the cytoplasm (forming the categories 34H, 36H, 38H, and 40H) and bind CheA at the base (Figure 2A) (Wuichet and Zhulin, 2010). The length of the coiled coil determines the association between chemoreceptors, with those of the same length forming hexagonal arrays (Jones and Armitage, 2015). The binding of CheA to the chemoreceptors within these hexagonal arrays is stabilized by CheW. Phosphorylated CheY binds the motor protein FliM, reducing rotary speed and inducing a tumble (Sourjik and Schmitt, 1998). In addition, the chemotaxis proteins CheR and phosphorylated CheB methylate and demethylate chemoreceptors, reducing and increasing their signal sensitivity, respectively (Rice and Dahlquist, 1991; Armitage and Schmitt, 1997; Porter et al., 2011). E. coli encodes an additional chemotaxis protein, CheZ, which interacts with CheY to remove phosphorylation, enabling the cell to quickly adapt to new conditions.
Figure 2. Escherichia coli and rhizobial chemotaxis systems. (A) Typical MCP (methyl-accepting chemotaxis protein) chemoreceptor domain structure including transmembrane domains flanking a periplasmic sensor domain. In the cytoplasm, the receptors form a coiled coil of alpha helices down to the CheA binding domain and returning to the plasma membrane to complete the coiled coil. Methylation and demethylation occur at sites along the coiled coil. The number of helix repeats varies, with some MCPs containing 34, 36, 38 or 40 repeats (classes 34H, 36H, 38H, and 40H, respectively). (B) The chemotaxis clusters of Escherichia coli and various rhizobia. Most clusters consist of the che genes A, Y, W, R, and B. E. coli K12 substr. MG1655 has one cluster of class F7 containing an extra cheZ gene and two MCP genes. Sinorhizobium meliloti RU11 has two clusters: one of class F7 containing extra che genes Y, S, D, and T and one MCP gene; and one of class ACF containing the standard genes except an altered cheA-REC, missing cheY and one MCP gene. Rhizobium leguminosarum biovar viciae 3841 has two clusters: one of class F7 containing extra che genes Y, S, D, and T and one MCP gene; and one of class F8 containing an extra cheW and three MCP genes. Agrobacterium fabacearum H13-3 has two clusters: one of class F7 containing extra che genes Y, S, D, and T and one MCP gene but missing cheW; and one of class F8 containing an extra cheW and one MCP gene. Azorhizobium caulinodans ORS571 has one cluster of class F5 containing the standard genes and one MCP gene; and 37 kb upstream the che genes Y and Z. Azospirillum brasilense Sp7 has four clusters: one of class F5 containing the standard genes; and one of class F7 containing the standard genes, cheD and two MCP genes. The two clusters not shown have not been linked to chemotaxis. Bradyrhizobium diazoefficiens USDA110 has three clusters: one of class F5 containing two extra cheY genes and one operon reading frame but missing cheB; one of class F5 containing the standard genes; and one of class F8 containing an extra cheW gene and three MCP genes.
Chemotaxis Systems in Symbiotic Bacteria
In contrast to E. coli, most of the rhizobia encode multiple chemotaxis systems. The rhizobia also encode a diversity of chemoreceptors divergent from the 5 chemoreceptors encoded by E. coli K12, with the motility model strain S. meliloti RU11 encoding 8 chemoreceptors, A. fabacearum H13-3 encoding 22, R. leguminosarum biovar viciae 3841 encoding 26, A. caulinodans ORS571 encoding 43, A. brasilense Sp7 encoding 41, and B. diazoefficiens USDA110 encoding 36 (Rebbapragada et al., 1997; Yost et al., 2004; Jiang et al., 2016; Scharf et al., 2016; Zatakia et al., 2017). However, the main chemotactic systems of S. meliloti, A. fabacearum, and R. leguminosarum have a similar core system to that of E. coli, belonging to class F7 and being associated with chemoreceptors of type 36H (Sourjik and Schmitt, 1998; Miller et al., 2007; Tambalo et al., 2010a,b; Wibberg et al., 2011) (see Figures 2A,B). These species do not encode CheZ, instead they encode two copies of CheY, with CheY2 propagating the signal and CheY1 acting as a phosphate sink, increasing the rate at which CheY2 returns to its unphosphorylated state (Sourjik and Schmitt, 1998). A further rhizobial protein, CheS, forms a dimer that binds CheA and CheY1, increasing phosphate transfer and thus CheY2 dephosphorylation (Dogra et al., 2012; Arapov et al., 2020). The rhizobia also encode two uncharacterized chemotaxis proteins: CheD and CheT. In the case of CheD, this protein has homology to Bacillus subtilis CheD protein which was found to deamidate chemoreceptors, a role served by CheB in E. coli (Kristich and Ordal, 2002; Rao et al., 2008). In S. meliloti, cheT mutants have a chemotaxis defect, indicating that it is likely to have some relevant, although currently unknown, chemotactic role (Arapov et al., 2020).
A. caulinodans, in contrast, only encodes a single chemotaxis system belonging to class F5 and being associated with chemoreceptors of type 38H. This bacterium encodes a cluster with cheY, cheA, cheR, cheB, cheW and two chemoreceptors (Jiang et al., 2016). In addition, it has a separate cluster located 37 kb upstream and encoding a second copy of the cheY gene and a cheZ gene. CheZ appears to be a functional protein with a conserved phosphatase motif critical for chemotactic activity (Liu et al., 2018b). Both of the CheY proteins appear to be active, with the main operon cheY1 mutant displaying a reduced tumble rate, causing a 40% reduction in the chemotaxis swimming halo on semi-solid media, and a cheY2 mutant displaying an increased tumble rate with a 90% reduction in the chemotaxis swimming halo (Liu et al., 2020).
In addition to the main systems described above, both A. fabacearum and R. leguminosarum encode accessory chemotaxis systems. These systems are F8-class chromosomal clusters encoding cheY, cheA, cheR, cheB, two cheW genes with one chemoreceptor (mcpB) in A. fabacearum and three in R. leguminosarum. These three chemoreceptors of R. leguminosarum (mcrA, mcrB, and mcrC) are of type 34H, indicating that it is an independent sensory system to the 36H chemoreceptors of Che1 (see Figure 2A). The class of the chemoreceptor encoded by A. fabacearum has not been determined, although this protein is likely to match mcrA, mcrB, and mcrC of R. leguminosarum due to the chemotaxis cluster arrangements. The R. leguminosarum Che2 cluster has a minor role in chemotaxis in free-living conditions (Miller et al., 2007). However, a recent insertion sequencing experiment in R. leguminosarum bv. viciae 3841 found that insertions in any of the che2 cluster genes were over-represented in nodule bacteria samples, suggesting a role in symbiosis (Wheatley et al., 2020).
S. meliloti also encodes an accessory chemotaxis system located on its pSymA plasmid, which belongs to the alternative cellular function (ACF) class and encodes only cheR, cheB, cheW, a chemoreceptor (mcpS) and a cheA gene fused with a response-regulator (REC) domain (Wuichet and Zhulin, 2010; Scharf et al., 2016). This cluster is associated with a chemoreceptor of type 40H, mcpS, which is divergent from the other S. meliloti chemoreceptors of type 36H (see Figure 2A). The mcpS gene was not expressed in free-living cells, indicating that this chemotaxis operon is not active under those conditions (Meier and Scharf, 2009; Scharf et al., 2016). In addition, the absence of a cheY gene indicates that the system does not control flagella; instead, it is likely that the modified CheA-REC protein regulates downstream effectors.
Chemotaxis Systems Controlling “Run and Reverse” Motility
In addition to multiple flagellar systems, A. brasilense has four chemotaxis clusters and B. diazoefficiens has three (see Figure 2B). Three of the four chemotaxis systems of A. brasilense (che1, che2, and che4) include the core cheY, cheA, cheR, cheB, and cheW genes. The che1 system of A. brasilense is an F5-class cluster associated with chemoreceptors of type 38H (of which there are 33 in the genome), harboring the core genes above, including a cheA gene fused with a response-regulator (REC) domain (Wuichet and Zhulin, 2010). The che2 system is an F9-class cluster containing the core genes mentioned above, including a fragmented cheA in addition to another cheY and a cheC phosphatase gene. The che3 system is an ACF-class cluster only encoding a fragmented cheA, cheB, cheW genes, one chemoreceptor and a putative histidine-kinase response-regulator pair. Finally, the che4 system is an F7-class cluster associated with chemoreceptors of type 36H (of which there are 8 in the genome), encoding the core genes and a cheD gene. A. brasilense has been observed to react with reverses and pauses and to modulate speed in response to chemical gradients (Zhulin and Armitage, 1993; Mukherjee et al., 2019). Numerous studies have revealed that the Che4 system modulates reversals by changing the rotation direction of the polar flagellum, while the Che1 system modulates swimming speed (Zhulin and Armitage, 1993; Bible et al., 2012; Mukherjee et al., 2016; Ganusova et al., 2021). In addition, the Che4 system, in concert with two orphan CheY proteins (CheY6 and CheY7), also modulates the pausing behavior, aerotaxis and the induction of swarming motility (Mukherjee et al., 2019; Ganusova et al., 2021). The Che2 and Che3 systems do not appear to be involved in chemotaxis. Regarding the three B. diazoefficiens chemotaxis clusters (che1, che2, and che3), they include the core cheY, cheA, cheR, cheB, and cheW genes, except the che1 F5-class system, which does not contain a cheB gene but an additional two cheY genes. The che2 system is also an F5-class cluster including the core genes. The che3 system is an F8-class cluster associated with chemoreceptors of type 34H and encodes an additional cheW gene with three chemoreceptors (Kaneko et al., 2002; Wuichet and Zhulin, 2010). The involvement of these systems on chemotaxis is currently unknown, although it was found that only the subpolar flagellum of B. diazoefficiens responds chemotactically to glutamate and succinate (Quelas et al., 2016). This indicates that the primary chemotactic response is via the subpolar flagellum, similar to A. brasilense.
Regulation of Motility and Chemotaxis
S. meliloti, A. fabacearum, and R. leguminosarum all have the same transcriptional activation system for flagellar and chemotaxis genes. Regulation of flagella in bacteria typically follows a hierarchical class system: regulatory class I genes control the transcription of class II genes required to initiate flagellar assembly and which, in turn, regulate class III genes to complete assembly and perform chemotaxis (McCarter, 2006). This class system ensures that each gene is active only when its product is useful. In the above rhizobia, the class I heterodimer VisNR is induced by some unknown effector to activate both promoters of rem and negatively regulate visN (Rotter et al., 2006). In turn, Rem activates the transcription of class IIA downstream regulators fliM (encoding a motor protein) and orf38 (encoding a potential basal body protein) in addition to flagellar assembly and motor genes (class IIB) (Tambalo et al., 2010b). Presumably activated through some signal of basal body completion, FliM and Orf38 then activate flagellin and chemotaxis genes (class III), to produce functional flagella with chemotactic ability. Mutants in visN, visR, and rem are nonmotile and non-flagellated, indicating that they form the master regulators for flagella in S. meliloti and R. leguminosarum (Sourjik et al., 2000; Rotter et al., 2006; Tambalo et al., 2010b). Although all of these genes are encoded by A. fabacearum, their function has not yet been confirmed. In R. leguminosarum, VisNR and Rem are expressed throughout exponential growth phase, but their expression drops sharply during stationary phase; although the cells are still motile, likely retaining their flagella due to the stability of the filament (McCarter, 2006; Tambalo et al., 2010b; Zhuang and Lo, 2020; Nedeljkovia et al., 2021). The only motility and chemotaxis genes in R. leguminosarum that are independent of VisNR are scattered chemoreceptors and, notably, the che2 cluster (Scharf et al., 2016). This possibly allows the bacteria to target the expression of che2 genes independently of that of motility genes and indicates that the role of the Che2 cluster may not be linked to flagella.
Neither A. caulinodans nor B. diazoefficiens encode visNR, although both encode homologs of rem (Lee et al., 2008; Mongiardini et al., 2017). The B. diazoefficiens Rem-homolog LafR was recently found to control transcriptional regulation of its lateral flagella but not its polar flagellum. The orphan response regulator did not require phosphorylation for its effect although it was activated by arabinose and oxidative stress while being repressed by mannitol, oxygen limitation, and iron deficiency (Mongiardini et al., 2017). LafR was found to activate genes across multiple operons, including flbT, the gene product of which translationally induces the LafA1 and LafA2 lateral flagellins (Mongiardini et al., 2017). Although the role of rem in A. caulinodans is unknown, some recent work has indicated that the flagella and chemotaxis genes have increased transcription in the presence of the amino acids histidine, arginine and aspartate (Liu et al., 2019). A. caulinodans displays chemotaxis toward these amino acids, that are sensed by the chemoreceptor TlpH, although the tlpH mutant did not remove the transcriptional effect (Liu et al., 2019). The mechanistic link between the amino acids and flagellar transcriptional regulation remains unknown. In contrast to the other rhizobia, A. brasilense does not encode visNR or rem. Instead, it appears that the nitrogen regulator NtrA controls flagellar gene transcription via a σ54 box. Indeed, a ntrA mutant was found to be non-flagellated (Moens et al., 1995a).
Importance of Chemotaxis and Motility Systems for Rhizobia as Free-Living Bacteria in Soil Conditions
Bacterial movement through soil depends on continuous water pathways with their inability to traverse air pockets (Griffin and Quail, 1968) (see Figure 3). Overall, with insufficient soil water content, microbial mobility is limited, whereas overloaded soil has greatly reduced oxygen concentrations (Tecon and Or, 2017). The water content in the soil has been described by different measures including matric potential, moisture content and percentage field capacity which all increase with increasing water content. For example, the swarming motility of various Pseudomonas species was found to be restricted to high matric potential agar with very high moisture content, showing a fast transition to non-motility upon drying (Dechesne and Smets, 2012). The soil bacterium Pseudomonas aeruginosa displayed reduced motility with decreases in soil water content (increased matric suction), to the point of non-motility (Griffin and Quail, 1968). Rhizobium trifolii motility also slowed with increasing water tension and was halted by discontinuity; conversely, the mean radius of the bacterial motility area increased with increased water content (Hamdi, 1971). The bean symbiont Rhizobium leguminosarum bv. phaseoli displayed a reduction in travel distance in soil with reduced moisture content such that it resembled a non-flagellated, non-motile mutant strain (Issa et al., 1993). The soil bacterium Pseudomonas fluorescens had reduced horizontal and vertical migration with decreased water irrigation flow rate (Singh et al., 2002). In addition, soil bacteria A. brasilense and P. fluorescens displayed increased migration in soil with large continuous pores (sand) over soil with narrow water channels (clay or loamy soils) (Bashan, 1986; Singh et al., 2002). The reduction in microbial dispersal with reduced soil water content implies that the usual state of soil bacteria is sessility imposed by the ubiquitous unsaturated state of soils (Tecon and Or, 2017). Thus, motility is limited in importance to temporary flooded states of soil formed immediately after rainfall or irrigation.
Figure 3. Bacterial mobility methods and challenges in soil. Microbial passage through the soil is dependent on sufficient moisture content to produce continuous pathways through water. Without rain or irrigation, air pockets form within the soil and prevent microbial passage. To combat this, microbes can exploit macroorganisms through methods including traversal along plant roots, navigation of fungal hyphae or hitching a ride on or in mobile macroorganisms. These mobility methods and challenges in soil are important for symbiont inoculation of crop plants. The two main inoculation techniques are on-seed, which although economical does not provide much dispersal, and in-furrow, which requires large amounts of inoculated soil but provides extensive dispersal.
An effective rhizobial inoculant must survive in the competitive environment of the soil (Atieno and Lesueur, 2018). Water content was again found to be a key determinant for survival in the soil. Soil with higher moisture content and soil types with high field capacity (total water capacity of the soil) were found to support larger populations of B. japonicum and R. leguminosarum (Mahler and Wollum, 1981). P. fluorescens also had increased survival in soil with increased moisture content (van Elsas et al., 1991). At microbial scale, however, the soil is dynamic and fragmented with changes in soil hydration and pore-spaces dramatically influencing their dispersion and fluctuating nutrient gradients attracting them down fleeting paths. This produces a heterogeneity in microsites that is averaged out by macro studies at the cm3 scale (Tecon and Or, 2017). For instance, motile E. coli was found to accumulate within funnel-shaped microsites; thus, porous wet soil could cause heterogenous arrangements of bacteria simply by their shapes (Galajda et al., 2007). Theoretical models have indicated that in heterogeneous environments, a more motile bacteria can outgrow a metabolically superior species (Lauffenburger et al., 1982). Therefore, an elite inoculant would need to have powerful but adaptable motility and chemotaxis systems.
There are additional complications to chemotaxis control of motility in the soil. The control exerted by chemotaxis systems on bacterial motility does provide an improvement over random cell motility, with chemotactic strains having 10 times faster predicted soil dispersal rates (Ebrahimi and Or, 2014). Indeed, P. fluorescens was found to migrate further in soil irrigated by chemoattractant-rich fungal exudates when compared to sterile water (Singh et al., 2002). The soil bacteria A. brasilense and P. fluorescens migrate toward roots guided by chemotaxis at increased rates with increased water content up to the water capacity of the soil (Bashan, 1986). In contrast, the symbiont B. diazoefficiens was found to swarm quickly through wet soil with no supplemented chemoattractants (Covelli et al., 2013). Chemotactic detection of nutrients in soil is limited by fragmentation of water pockets due to drainage, plant uptake and evaporation, factors limiting nutrient diffusion and gradient establishment. Thus, reduction in soil matric potential—reducing moisture content—exponentially decreases chemotactic movement (Ebrahimi and Or, 2014).
Since active movement through dry soil is severely limited, other passive forms of movement dominate (see Figure 3). These include environmental forces, such as water percolation or wind dispersal of soil particles on the surface, in addition to “hitchhiking” on larger organisms such as earthworms, nematodes, protozoa, soil fungal networks or plant roots (Yang and van Elsas, 2018; King and Bell, 2021). This “hitchhiking” occurs through either adhesion to macroorganism surfaces, or through consumption and survival in the gut with subsequent release into the soil by expulsion or death of the macroorganism. For instance, S. meliloti migration through sterile soil was improved by the presence of Caenorhabditis elegans nematode worms, and migration of B. japonicum and Pseudomonas putida was improved by the presence of burrowing earthworms (Madsen and Alexander, 1982; Horiuchi et al., 2005). On the other hand, excessive adhesion may reduce dispersal, as E. coli, Rhodococcus erythropolis and P. putida species were found to be retained more in more adhesive soils with reduced vertical dispersal by water percolation (Jimenez-Sanchez et al., 2015; Sepehrnia et al., 2019). In addition, migration along hyphal networks or across plant roots enables mobility despite discontinuities in the surrounding soil pores (Yang and van Elsas, 2018). Rhizobium leguminosarum bv. trifolii was found to migrate further in presence of clover plant roots and P. fluorescens displayed greatly increased depth and magnitude of soil colonization in the presence of wheat plant roots (van Elsas et al., 1991; Worrall and Roughley, 1991). The range and depth of A. brasilense soil colonization was also increased by the presence of both wheat and weed roots (Bashan and Levanony, 1987). Thus, the importance of bacterial motility and chemotaxis in the soil is reliant on favorable environmental factors.
Importance of Chemotaxis and Motility Systems for Plant Colonization and in Symbiosis
Motility and chemotaxis also appear to be crucial for competitive root surface colonization and for the establishment of a successful symbiosis (Catlow et al., 1990; Yost et al., 1998; Miller et al., 2007; Scharf et al., 2016). Indeed, most symbionts of eukaryotes have flagellar and chemotaxis capabilities (Raina et al., 2019). However, experiments were performed in well-watered pots that may not truly reflect the field environments in which these symbionts are applied as inoculants. There have been hints that macro-scale mechanisms, such as water percolation, are required to enable bacterial mobility and for effective colonization and nodulation. For example, in low-moisture soil, the symbiont R. trifolii inoculated on the seed displayed delayed infection thread formation and nodulation of Trifolium subterraneum plants that was partially recovered by watering (Worrall and Roughley, 1976). Vertical transportation of the symbiont B. japonicum and the soil bacterium P. putida in soil was found to be limited even in the presence of developing soybean and bean plant roots with the absence of percolating water or burrowing earthworms (Madsen and Alexander, 1982). The colonization and nodulation competitiveness of R. leguminosarum bv. viciae on lentil plants was also found to decrease with depth in non-sterile soil but to partially recover with increased soil moisture content (Karmakar and Chandra, 2012). Finally, various motile B. diazoefficiens strains (LP3001 and LP3008) out-competed their non-motile derivatives at soybean plant nodulation under flooded conditions but not when merely at field capacity (Althabegoiti et al., 2011).
A bacterium can achieve a growth advantage by arriving and establishing itself at the root surface before competing bacteria. In addition, flagella-based swarming motility enables movement along the surface of the root for more effective colonization (Simons et al., 1996; Gao et al., 2016). Indeed, motility and chemotaxis mutants of the soil bacterium B. subtilis display greatly reduced colonization on Arabidopsis thaliana roots after 4 h and on tomato roots after 2 weeks (Allard-massicotte et al., 2016; Gao et al., 2016). In addition, a P. fluorescens motile strain out-competed a non-motile strain in root colonization and attachment in sterile soil, whereas transfer of A. brasilense through sand from wheat to soybean roots was only observed with the motile strain (Bashan and Holguin, 1994; Turnbull et al., 2001). In contrast, P. fluorescens 2-79 RN10 was also found to traverse further along wheat plant roots when inoculated at the root apex rather than the seed, indicating that the bacteria moved with root growth (Parke et al., 1986). Thus, while motility and chemotaxis are integral systems for a competitively colonizing inoculant, they are not the sole mechanism for soil dispersal.
Dispersal of Symbionts as Crop Inoculants in Field Conditions
Farming techniques alter soil microbial diversity and abundance by changing soil composition through crop cultivation or fertilizer application or by disrupting aggregate structures through tillage (Tecon and Or, 2017). Thus, it is important that any inoculants used are tested in real-world field use and are applied in an efficient and effective manner. Current inoculants tend to be applied either on-seed as a coating or in-furrow within the soil. Seed inoculation is more economical, so it has been used more extensively, although some studies indicate that in-furrow inoculation provides improved dispersal of the inoculant (Deaker et al., 2012; Iturralde et al., 2019). For instance, in field soil multiple symbiotic B. japonicum strains inoculated on-seed were found to have reduced nodule occupancy compared to in-furrow inoculation, particularly at depth and on lateral roots (McDermott and Graham, 1989; Wadisirisuk et al., 1989; Bogino et al., 2011). In addition, B. japonicum LP3001 established in vermiculite soil greatly out-competed (in soybean root nodulation) the equally competitive B. japonicum LP3004 inoculated on the seed (Lopez-Garcia et al., 2002). Interestingly, the seed-inoculated Bradyrhizobium had 50% reduced colonization in the mid root and apical root sections, such that slow vertical displacement of the seed-inoculated strain was identified as a major factor in the relative competitiveness of the strains (Lopez-Garcia et al., 2002). In further experiments with a hyper-motile strain, it was found that in-furrow inoculation of B. japonicum LP3008 could also considerably improve soybean root nodulation competitiveness compared to seed inoculation in field soil conditions (Lopez-Garcia et al., 2009). In addition, although on-seed inoculation of R. leguminosarum bv. viciae on faba bean and Bradyrhizobium lupini on lupin produced more and larger nodules than in-furrow inoculation at more than half of the field sites tested, potentially these nodules were larger because they were taproot nodules initiated earlier (Denton et al., 2017). Denton et al. (2017) also found that, in general, rhizobial inoculation improved taproot nodulation, whereas only improved lateral root nodulation in sites with reduced native rhizobia. Thus, the effectiveness of these two application techniques may depend on both the field conditions and the native rhizobial population. To improve the competitiveness of inoculants, other strategies include in-field dispersal in porous bags filled with inoculated soil which enable multiple establishment attempts or by leveraging interactions with motile organisms or fungal hyphal networks to promote dispersal (King and Bell, 2021). However, selecting for excess dispersal could actually be counterproductive by diluting inoculants away from the intended targets.
Discussion
Regardless of the complexity and importance of motility and chemotaxis in the soil environment, there is a clear selection for chemotaxis genes in wildtype rhizobia. Analysis of 264 completed bacterial genomes gave an average chemoreceptor gene count of 14, which was found to be increased in species with high metabolic diversity, low stability of habitat and those with interactions with other living species (Lacal et al., 2010). The category with the highest number of chemoreceptors included soil-dwelling organisms such as Azospirillum lipoferum or Bradyrhizobium sp. strain BTAi1 encoding 63 and 60 predicted chemoreceptors, respectively, and several plant-interacting bacteria, including A. caulinodans ORS571 encoding 43 genes, R. leguminosarum bv. viciae 3841 encoding 26 genes and B. diazoefficiens USDA110 encoding 36 genes (Scharf et al., 2016). In contrast, E. coli, a human gut microbe, has only 5 chemoreceptor genes. A mutant of Azorhizobium caulinodans ORS571 with the chemotaxis cluster deleted was defective in Sesbania rostrata root surface colonization and competitive nodulation (Liu et al., 2018a). In R. leguminosarum biovar viciae VF39SM, deletion of the chemotaxis receptors mcpB or mcpC resulted in a significant reduction of nodulation competitiveness on pea plants, although the ability to nodulate was not affected (Yost et al., 1998). Importantly, the VF39SM mcpC mutant does not have a competitiveness disadvantage in symbiosis with other plants, indicating that plant specificity is based on the perception of the different exudates each plant secretes and which accordingly drive a defined chemotaxis response (Scharf et al., 2016). In the case of S. meliloti RU11, the chemoreceptors McpU and McpX have been found to target amino acids and quaternary ammonium compounds, respectively, being both present in the alfalfa host seed exudate (Webb et al., 2016, 2017a,b). Once inside the plant root, S. meliloti motility genes still appear to be expressed in bacteria in the infection thread channel but are completely down-regulated in bacteroids inside mature nodules (Yost, 1998). Interestingly, in other eukaryote-microbe symbioses, similar channels are generated to select for and guide their symbionts through generated gradients, via chemotaxis, toward the symbiosis space (e.g., the slime cavities of Hornwort or the ducts of the bobtail squid) (Raina et al., 2019). However, once inside the nodule, motility and chemotaxis are unnecessary for the now sessile bacteroids. This has been observed in R. leguminosarum, with down-regulation of chemoreceptors during bacteroid differentiation to undetectable amounts of expression in bacteroids (Yost et al., 2004; Karunakaran et al., 2009; Tambalo et al., 2010b). This regulation appears unrelated to the low oxygen conditions and organic acid availability inside the nodule (Yost et al., 2004; Tambalo et al., 2010b; Scharf et al., 2016). Thus, both motility and chemotaxis as dispersal strategies and competitive advantages are important aspects of symbiotic rhizobia.
As we have seen, chemotaxis and motility systems in rhizobia have a clear role both in free-living cells in soil and in symbiotic lifestyles, as indicated by their prevalence and the average number of receptor genes (Lacal et al., 2010; Scharf et al., 2016). However, bacterial movement through soil depends on continuous water pathways with their inability to traverse air pockets and, thus, the role of motility is limited to the temporary flooded states of soil formed immediately after rainfall or irrigation (Griffin and Quail, 1968). In addition, reduction in moisture content also decreases exponentially chemotactic movement by preventing the dispersal of chemoattractants and the formation of gradients (Ebrahimi and Or, 2014). Alternatively, environmental forces such as water percolation and the movement of larger organisms such as earthworms provide some degree of microbial dispersal, bypassing discontinuities in water channels (Yang and van Elsas, 2018; King and Bell, 2021). Another method used to bypass air pockets is traveling along eukaryotic pathways such as fungal hyphal networks and plant roots. Colonization of these networks can provide growth and settlement advantages, with chemotaxis and motility systems enabling the bacterium to arrive and establish before competing bacteria. Thus, although bacterial motility and chemotaxis are clearly important for soil competition, their importance is reliant on the favorable state of environmental factors.
The importance of motility and chemotaxis for elite inoculants—based on competitive and effective strains—is equally complex. Although motility and chemotaxis are integral systems for a competitively colonizing inoculant, their shortcomings mentioned above mean that they are not the sole mechanism for soil dispersal. It is thus important for any inoculant strain to be tested in field conditions and applied through efficient and effective methods. Of the two main techniques, it appears that on-seed inoculation is more economical but provides reduced dispersal opportunities, whereas in-furrow inoculation requires a larger quantity of the inoculant but provides superior dispersal along crop root systems (Deaker et al., 2012; Tecon and Or, 2017). The effectiveness of both application techniques also seems to depend on both the field conditions and the native rhizobial population. Therefore, both motility and chemotaxis should be considered factors in the selection of elite inoculants, together with other dispersal strategies.
Conclusions
Improvements in symbiont inoculants depend on improvements in (1) understanding of motility and chemotaxis systems in rhizobia, (2) observations of motility and chemotaxis processes in the soil and (3) fast-throughput assays for individual inoculant selection. Firstly, more detailed knowledge of the chemotaxis and motility systems in rhizobia could determine the applicability of studies in other bacteria, such as E. coli, and enable mobility improvements to existing symbiont inoculants. For instance, improved knowledge of the many chemoreceptors with uncharacterized sensor domains could provide critical knowledge of the chemotactic signals that are critical for effective soil motility (Compton and Scharf, 2021). Additionally, assays that emulate field conditions, such as capillary and microfluidic assays, could be used to discover the decision-making logic of soil chemotaxis to allow targeted mimicry in engineered inoculants (Mao et al., 2003; Walsh et al., 2017; Lopez-Farfan et al., 2019). Secondly, improved observations of motility and chemotaxis processes in the soil would provide more detailed information about the heterogeneity of movement in the soil and rhizobial motility at the micro-scale. The micro-scale control of motility in the soil has not previously been directly observed. Potentially, transparent pseudo-soils could enable visual tracking of mobility and dispersal from different inoculation techniques toward crop plants (Bhattacharjee and Datta, 2019; Ma et al., 2019). Finally, inoculant selection could be improved by the development of fast-throughput assays that could assess the dispersal effectiveness of an inoculant. For example, the work by Mendoza-Suarez et al. (2020) describes a fast-throughput assay to test the competitiveness and effectiveness of strains in a particular soil. Similar experiments could be devised to measure the field dispersal properties of candidate strains for inoculant formulations. In addition, they could enable more precise testing of other inoculation strategies, such as porous bag embedding or interactions with motile macroorganisms (King and Bell, 2021). These improvements could enable a faster and more effective generation work-flow for selecting or engineering symbiont inoculants by clarifying the importance of effective soil dispersal and dynamic chemotaxis and motility systems.
Author Contributions
SA, CS-C, and PP conceived the project and wrote and edited the manuscript. All authors contributed to the article and approved the submitted version.
Funding
This work was supported by Biotechnology and Biological Sciences Research Council [grant BB/M011224/1] and The Leverhulme Trust [grant RPG-2019-246].
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
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Keywords: rhizobia, Rhizobium leguminosarum, Sinorhizobium meliloti, Azospirillum brasilense, Bradyrhizobium diazoefficiens, motility, chemotaxis, soil
Citation: Aroney STN, Poole PS and Sánchez-Cañizares C (2021) Rhizobial Chemotaxis and Motility Systems at Work in the Soil. Front. Plant Sci. 12:725338. doi: 10.3389/fpls.2021.725338
Received: 15 June 2021; Accepted: 06 August 2021;
Published: 27 August 2021.
Edited by:
Maria Jose Soto, Estación Experimental de Zaidín, Consejo Superior de Investigaciones Científicas (CSIC), SpainReviewed by:
Anibal Roberto Lodeiro, CONICET Instituto de Biotecnologia y Biologia Molecular (IBBM), ArgentinaIvan John Oresnik, University of Manitoba, Canada
Copyright © 2021 Aroney, Poole and Sánchez-Cañizares. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Carmen Sánchez-Cañizares, carmen.sanchez-canizares@plants.ox.ac.uk