Skip to main content
AoB Plants logoLink to AoB Plants
. 2015 May 15;7:plv050. doi: 10.1093/aobpla/plv050

Inter-plant communication through mycorrhizal networks mediates complex adaptive behaviour in plant communities

Monika A Gorzelak 1, Amanda K Asay 1, Brian J Pickles 1, Suzanne W Simard 1,*
PMCID: PMC4497361  PMID: 25979966

Trees can communicate with each other through networks in soil. Much like social networks or neural networks, the fungal mycelia of mycorrhizas allow signals to be sent between trees in a forest. These mycorrhizal networks are effectively an information highway, with recent studies demonstrating the exchange of nutritional resources, defence signals and allelochemicals. Sensing and responding to networked signals elicits complex behavioural responses in plants. This ability to communicate ('tree talk') is a foundational process in forest ecosystems.

Keywords: Complex adaptive systems, ectomycorrhiza, forests, mycorrhizal networks, plant behaviour, plant communication

Abstract

Adaptive behaviour of plants, including rapid changes in physiology, gene regulation and defence response, can be altered when linked to neighbouring plants by a mycorrhizal network (MN). Mechanisms underlying the behavioural changes include mycorrhizal fungal colonization by the MN or interplant communication via transfer of nutrients, defence signals or allelochemicals. We focus this review on our new findings in ectomycorrhizal ecosystems, and also review recent advances in arbuscular mycorrhizal systems. We have found that the behavioural changes in ectomycorrhizal plants depend on environmental cues, the identity of the plant neighbour and the characteristics of the MN. The hierarchical integration of this phenomenon with other biological networks at broader scales in forest ecosystems, and the consequences we have observed when it is interrupted, indicate that underground ‘tree talk’ is a foundational process in the complex adaptive nature of forest ecosystems.

Introduction

A mycorrhiza is typically a mutualistic symbiosis between a fungus and a plant root, where fungal-foraged soil nutrients are exchanged for plant-derived photosynthate (Smith and Read 2008). The extent of fungal mycelium in the soil is vast and the mutualisms between the fungal species and host plants are usually diffuse, enabling the formation of mycorrhizal networks (MNs). These MNs are composed of continuous fungal mycelia linking two or more plants of the same or different species. The MN can thus integrate multiple plant species and multiple fungal species that interact, provide feedbacks and adapt, which comprise a complex adaptive social network. The MN is considered ecologically and evolutionarily significant because of its positive effects on the fitness of the member plants and fungi. Our understanding of this significance derives from evidence that MNs influence the survival, growth, physiology, health, competitive ability and behaviour of the plants and fungi linked in the network. How the MN affects the member plants and fungi is increasingly understood to involve plant–fungal–plant communication, and may involve biochemical signalling (Song et al. 2010; Babikova et al. 2013), resource transfers (Francis and Read 1984; Simard et al. 1997a, b; He et al. 2009; Teste et al. 2009) or action-potential-driven electrical signals (Baluŝka et al. 2006; Kai et al. 2009). The responses of the plants and fungi to this communication are rapid, and thus can be described as behavioural responses, allowing us to refocus our understanding of the significance of MNs through the lens of plant behaviour. Here, we provide insight into the mechanisms and conditions through which MNs may influence plant behaviour, and discuss the potential circumstances and consequences for the ecology of plant communities and the evolution of plant–fungal interactions. We finish with a discussion of how MN influences on plant behaviour are congruent with viewing plant communities as complex adaptive systems. Gaps in our understanding of these patterns and processes are highlighted.

Mycorrhizas

Mycorrhizal associations of plants have large-scale ecosystem-wide consequences (Averill et al. 2014; Dickie et al. 2014). The magnitude of their importance is likely due to the proclivity of most terrestrial plants to form them (Smith and Read 2008; Brundrett 2009). The origins of this symbiosis are thought to be ancient and have been proposed as a mechanism for facilitating land colonization by plants 400 Mya (Redecker et al. 2000; Humphreys et al. 2010). The mycorrhizal symbiosis is a many-to-many relationship: plants tend to form symbioses with a diverse array of fungal species (broad host receptivity) and likewise, fungal species tend to be able to colonize plants of different species (broad host range). While most mycorrhizal fungi are broad host generalists, forming diffuse mutualisms, a few appear to be specialists, occurring exclusively on a single host (Lang et al. 2011).

Plant species tend to display fidelity to specific classes of mycorrhizal fungi, and entire ecosystems are often dominated by one class or the other. By far the most ubiquitous class is arbuscular mycorrhizal fungi (AMF), obligate biotrophs in the Glomeromycota that form arbuscules and sometimes vesicles within the root cells of hosts (Smith and Read 2008). Arbuscular mycorrhizal fungal symbioses dominate temperate grasslands, tropical forests and agricultural systems, but also associate with some temperate forest trees, such as members of the Cupressaceae and Aceraceae families (Brundrett 2009). The AMF are microscopic with few morphological features to distinguish between species, and are classified by spore appearance and molecular markers (Rosendahl 2008), and continue to stir controversy due to the atypical genetics of these fungi (Koch et al. 2004).

The other major class of mycorrhizas is the ectomycorrizal fungal (EMF) class. Although fewer plant species have been found to form symbioses with EMF, in comparison to AMF (Brundrett 2009), the hosts of EMF tend to be widely dispersed, abundant and dominant members of their assemblages. For example, EMF hosts include most coniferous trees (all of the Pinaceae), the majority of woody shrub species in temperate and boreal forests and the Dipterocarpaceae, which results in EMF also being common in tropical forests. Root tips harbouring EMF are distinguishable by macroscopic features (Peterson et al. 2004) including: (i) the mantle (a fungal sheath that encases a colonized root tip) and (ii) extramatrical mycelium (diffuse hyphae that extend out into the surrounding soil). Some species of EMF form epigeous mushrooms and others form hypogeous truffles, predominantly from the phyla Basidiomycota and Ascomycota. Ectomycorrizal fungi appear to have evolved separately in multiple plant families, with as many as 66 incidences identified thus far from phylogenetic evidence (Tedersoo et al. 2010). Some exceptional plant families and genera are capable of forming viable symbioses with EMF and AMF simultaneously (e.g. Salicaceae, Eucalyptus). Whether an ecosystem is dominated by AMF or EMF associations has large-scale consequences for resource availability, as AMF systems have been recently demonstrated to have lower soil C : N ratios than those dominated by EMF, indicating fundamentally different nutrient cycling regimes, resulting in more carbon sequestered in EMF forests (Averill et al. 2014).

Both EMF and AMF fungi have been demonstrated to form networks. Their structure and known associations are noted here to highlight the differences between them, and to point out that despite these differences, they both appear to be able to affect plant behaviour changes through the formation of networks. We do not fully explore the potential mechanisms by which communication is occurring through mycorrhizas, as this topic is reviewed elsewhere (Barto et al. 2012); rather, we synthesize the evidence for and consider the potential extent and ecosystem consequences of this phenomenon.

Mycorrhizal Networks: Structure and Function

An MN is formed when multiple plants are linked belowground by a continuous AMF (Kiers et al. 2011) or EMF mycelium (van der Heijden and Horton 2009; Beiler et al. 2010) (Fig. 1). Networks can be exclusive to a subset of plants able to form mycorrhizas with the same fungi, potentially linking members of a single species [for example Beiler et al. (2010)]. The MN can also be inclusive, as may be the case for AMF systems, where linkages can occur between multiple plant and fungal species (Molina et al. 1992). Evidence for the occurrence of MNs has been accumulating for half a century (Björkman 1970; Reid and Woods 1969; Francis and Read 1984; Newman 1988), but their significance for ecosystems has been pursued intensively only in the past two decades (Simard et al. 1997b; Fitter et al. 1998). We now know that MNs can influence plant establishment (Dickie et al. 2002; Nara 2006), survival (Horton and Bruns 2001; Teste et al. 2009; Bingham and Simard 2011), physiology (Wu et al. 2001, 2002), growth (Teste et al. 2010) and defence chemistry (Song et al. 2010, 2014; Babikova et al. 2013). This influence is thought to occur because the MN serves either as a pathway for interplant exchange of resources and stress molecules or as a source of fungal inoculum (Fig. 1) (see reviews by Simard et al. 2012, 2013, 2015). For instance, anastomosis with existing MNs of established plants is considered the most common mechanism for mycorrhizal fungal colonization of regenerating plants in situ (van der Heijden and Horton 2009; Kariman et al. 2012). Colonization of establishing seedlings by MNs enables them to acquire sufficient soil nutrients for root and shoot growth and hence survival (Teste et al. 2009; Kariman et al. 2012).

Figure 1.

Figure 1.

Schematic of resources and signals documented to travel through an MN, as well as some of the stimuli that elicit transfer of these molecules in donor and receiver plants.

As with mycorrhizal colonization, interplant resource and signal fluxes through MNs have the potential to alter plant behaviour. These fluxes have been shown to include carbon (Simard et al. 1997a, b), water (Egerton-Warburton et al. 2007; Bingham and Simard 2011), nitrogen (Teste et al. 2009), phosphorus (Eason et al. 1991), micronutrients (Asay 2013), stress chemicals (Song et al. 2010, 2014; Babikova et al. 2013) and allelochemicals (Barto et al. 2011), and can occur between plants of the same or different species. Understanding the potential effects of these fluxes on plant behaviour, however, first requires an understanding of transfer processes, and the factors that regulate these processes. For instance, interplant resource exchanges are thought to be regulated by source–sink relationships within the MN, where one plant that is rich in nutrients serves as a source (donor) of compounds for a neighbouring plant that is poor in nutrients, which thus serves as a sink (receiver) (Simard et al. 2012). The long-distance transport of carbon and/or nutrients appears to occur predominantly by advective mass flow driven by the source–sink gradient generated by these interplant nutrient differences (Simard et al. 2012). Mass flow can also be generated by fungal mycelium growth, and diffusion or active transport mechanisms may operate during active fungal cell expansion at growing mycelium fronts (Heaton et al. 2012).

The primary importance of plant–sink strength in governing the magnitude and direction of resource transfer through MNs is illustrated in studies showing transfer of carbon to rapidly growing EMF saplings with high transpiration rates, or to shaded EMF seedlings with high respiration demands for survival and growth (Read and Bajwa 1985; Simard et al. 1997a; Teste et al. 2009, 2010). Organic compounds are thought to enter the transpirational stream of the receiver plant via the xylem, and then be actively transported to rapidly expanding biosynthetic tissues. Plant source strength also drives transfer under certain conditions. This was demonstrated in the rapid transfer of labile carbon from the roots of injured EMF seedlings to healthy neighbours (Song et al. 2014), and in the transfer of nitrogen from N2-fixing or fertilized source plants to non-N2-fixing sink plants (He et al. 2009). Increasing source strength by CO2 fertilization of plants in AMF networks, in contrast, has had no effect on carbon transfer (Fitter et al. 1998). Although either source or sink strength may dominate under certain circumstances, it is more likely that the simultaneous behaviour of both source and sink plants (and sources and sinks within the mycelium itself) influences carbon and nutrient transfer through MNs. For instance, the direction and magnitude of carbon transfer changed over a growing season due to simultaneous changes in phenology, and hence source and sink strength, of different plants involved in an EMF network in mixed temperate forest (Philip 2006) and Low Arctic Tundra (Deslippe and Simard 2011). Carbon and nitrogen are thought to travel through MNs together in simple amino acids (Simard et al. 2015). These molecules travel through the MN rapidly, moving from donor plants to the fungal mycelium within 1 or 2 days (Wu et al. 2002; Heaton et al. 2012) and to the shoots of neighbouring plants within 3 days (Wu et al. 2002).

Using experimental designs that prevent the aboveground transfer of volatile organic compounds (VOCs), as well as controlling for the formation of an MN, stress signals have been shown to transfer from injured to healthy plants through MNs even more rapidly than carbon, nutrients or water. Herbivore- and pathogen-induced stress responses were up-regulated in undamaged neighbours in as little as 6 h following insect or fungal infestation of donor plants linked in AMF MNs (Song et al. 2010, 2014; Babikova et al. 2013). Song et al. (2014) found up-regulation of four defence-related genes in healthy neighbours 6 h after AMF tomato donors were infested with the leaf-chewing caterpillar Spodoptera litura Fabricius, likely in response to signalling via the jasmonate pathway through the MN. They showed that production of defence enzymes increased receiver resistance to pests, as indicated by lower weight gain and hence lower fitness of the herbivore. In an earlier study, Song et al. (2010) infested AMF tomato plants with the foliar necrotrophic fungus, Alternaria solani, and similarly found that six defence genes encoding for defence enzymes were activated after 65 h in the un-infested neighbours. In this study, the use of mutant controls and the genes that were up-regulated suggested that salicylic acid and jasmonic acid pathways were involved in signalling (or signal detection ‘eves-dropping’) through the MN. In an MN linking EMF Douglas-fir and ponderosa pine, defoliation of Douglas-fir with the insect Choristoneura occidentalis (western spruce budworm) induced defence enzyme production in neighbouring linked ponderosa pine within 24 h of infestation (Song et al. 2015). These studies clearly show a rapid physiological response of recipient plants to stress signalling transmitted through MNs, even in plants of a different genus, indicating a shift in plant behaviour to protect fitness.

Plant Behaviour

Plant behaviour is defined as a change in plant morphology or physiology in response to environmental stimuli, including responses to chemicals, light and water, that occurs within a plant's lifetime (Karban 2008). Phenotypic plasticity, the ability of an individual to alter its traits in response to the environment, is a defining feature of plants. McNickle et al. (2009) define behaviour as the expression of plant plasticity that is like a decision point, where each choice involves trade-offs that will affect fitness. The most studied plant behaviours involve alteration of aboveground morphology to optimize access to sunlight (Smith 2000; Novoplansky 2009), or of reproductive or defensive traits to deal with environmental heterogeneity (Karban 2008). Plant behaviour responses can also occur belowground, in foraging for nutrients and water (Hodge 2004) and in response to root competition (Cahill et al. 2010). Since all forest plants form obligate symbioses with mycorrhizal fungi, plant behavioural responses must also include any physiological changes due to their mycorrhizal status (e.g. changes in fine root morphology and/or production following fungal colonization). The relative speed of the change, the presence of stimuli and non-permanence of the change (e.g. short-term production of defence chemicals) distinguish plant behaviour from other chemically mediated processes (Karban 2008).

Mycorrhizal Network Effects on Plant Behaviour

Plants that are connected via an MN can rapidly modify their behaviour in response to fungal colonization and interplant biochemical communication. Plant behavioural responses that have been measured thus far include rapid changes in mycorrhizal colonization, root growth, shoot growth, photosynthetic rate, foliar nutrition, foliar defence chemistry and defence response (Fig. 1, Table 1). For instance, plant hosts have responded to mycorrhizal colonization via MNs by adjusting production of fine roots (e.g. Pickles et al. 2010), probably due to the production of plant auxins, and this has been noted in both EMF (Frankenberger and Poth 1987; Gay et al. 1994; Karabaghli-Degron et al. 1998; Scagel and Linderman 1998; Felten et al. 2010) and AMF systems (Hanlon and Coenen 2011). These varied types of plant behavioural responses have occurred in cases where the neighbouring plants linked in the MN (i) are of the same or different species and (ii) are kin (of the same parental lineage) or strangers. These observations raise questions about the evolutionary consequences of MN-related interactions. Plant behavioural changes have qualities and quantities that can substantially alter the community ecology of a site, including intra- and interspecific interactions, species co-existence and biodiversity. Changes to the fitness of connected neighbouring plants and associated organisms can also have ecosystem-wide impacts. In this section, we discuss evidence that MNs can influence plant behaviour, with ripple effects on plant community and ecosystems ecology.

Table 1.

List of recent studies documenting plant behaviour changes mediated through connection to MNs.

Plant behaviour mediated through MNs Plant host MN forming fungus References
Increased foliar N Ambrosia artemisiifolia L. Glomus intraradices File et al. (2012)
Increased mycorrhization of kin through MN
Foliar defence chemistry Vicia faba Glomus intraradices Babikova et al. (2013)
Defence response to pathogenic fungus Lycopersicon esculentem Mill. Glomus mosseae Song et al. (2010)
Defence response to leaf-chewing caterpillar Lycopersicon esculentem Mill. Funneliformis mosseae Song et al. (2014)
Increased survival, growth and carbon transfer Pseudotsuga menziesii var. glauca Natural EMF Teste et al. (2009)
Improved survival under drought stress Pseudotsuga menziesii var. glauca Natural EMF Bingham and Simard (2011)
Improved survival with established MN Pseudotsuga menziesii var. glauca Natural EMF Bingham and Simard (2012)
Growth after disturbance, carbon transfer Pseudotsuga menziesii var. glauca Rhizopogon vinicolor Teste et al. (2010)
Increased photosynthesis, carbon transfer Pseudotsuga menziesii var. glauca Natural EMF Simard et al. (1997a)
Betula papyrifera Marsh.

The impacts of MN-mediated resource transfer on plant behaviour are evident in the regeneration success of mono-specific and mixed forests. In the interior Douglas-fir forests of western North America, the transfer of carbon, nitrogen and water from older trees to regenerating seedlings through an MN has been associated with rapid increases in net photosynthetic rates (Teste et al. 2010), shoot water relations (Schoonmaker et al. 2007) and shoot and root growth of the young seedlings (Teste et al. 2009). These responses were linked to improved seedling survival and productivity, and hence regenerative capacity of the forest. Whether they were caused by the observed carbon, nitrogen or water transfer, or by some other facilitative effect of the MN, remains unknown. However, similar shifts in Douglas-fir seedling behaviour in response to MNs have been repeatedly observed in a range of regional climates (Simard et al. 2012). In a separate study, water transfer from replete to drought-stressed conspecifics through MNs was also associated with increased growth (Bingham and Simard 2011). Here, the receiver seedlings accessed water through the MN, allowing them to modify root and shoot growth that resulted in increased survival. Under the drought conditions in this study, carbon transfer did not co-occur with water transfer, indicating plasticity in plant behavioural responses to limiting resources.

Thus far, we have presented only one-sided behavioural responses of plants to resource transfers in MNs (i.e. responses of plants that are recipients of resource transfers or stress signals). This is partly an outcome of study objectives, where experiments were designed to test receiver plant behaviour responses, but may also reflect the importance of relative source and sink strengths within an MN. In a study of AMF networks, for example, Walder et al. (2012) demonstrated that flax donated relatively little carbon while receiving 94 % of its nitrogen and phosphorus from the MN, whereas sorghum invested significant amounts of carbon while gaining little, translating into no positive growth effects for sorghum. Interestingly, however, the two plants grown in mixture were more productive relative to when they were grown in monocultures, suggesting unmeasured benefits resulting from linkage to the MN. Likewise, Douglas-fir grew larger when in mixture with linked ponderosa pine, likely due to modified growth behaviour to gain access to excess phosphorus via the MN that would otherwise have been consumed by ponderosa pine as ‘luxury consumption’ (Perry et al. 1989). Asymmetrical benefits have also been evident in interspecific carbon transfer from paper birch to Douglas-fir in the summer, with increasing net transfer with shading of Douglas-fir (Simard et al. 1997a). Regardless of the net effects of carbon transfer through the MN, both Douglas-fir and paper birch benefitted from growing in mixture versus monoculture through increased productivity (Sachs 1996), and from increased resistance to Armillaria root disease (Baleshta et al. 2005), possibly due to a greater population size of the pathogen-antagonistic rhizosphere microbe, Pseudomonas fluorescens (DeLong et al. 2002). These studies show that plant behavioural responses to resource transfer via MNs are dynamic, asymmetrical at times and dependant on the identity of the plants, the source–sink patterns in the MN and the environmental conditions of the system (Hynson et al. 2012).

Defence signals travelling through the MN clearly result in rapid behavioural responses of recipient plants, and this is evident in sudden changes in foliar defence chemistry (Babikova et al. 2013; Song et al. 2015) and pest resistance (Song et al. 2010, 2014) (see above). For instance, broad beans (Vicia faba) responded to aphid attack by swiftly transferring defence signals via the MN to neighbouring bean plants, which responded in turn by producing aphid-repellent chemicals and aphid-predator attractants (Babikova et al. 2013). These higher order interactions represent trophic cascades generated by pest infestation triggering signal propagation through the MN. In a different study, defoliation of Douglas-fir resulted in simultaneous transfer of defence signals and carbon to neighbouring healthy ponderosa pine through MNs, resulting in increased defence enzyme production by ponderosa pine, possibly orchestrated by the networking fungus as a strategy to protect itself against the loss of healthy hosts (Song et al. 2015). Responses to pest infestations can also lead to larger-scale generational changes in the behaviour of plant-symbiont systems. Shifts in ectomycorrhizal community composition caused by a variety of factors, such as host mortality (e.g. pine beetle outbreaks; Kurz et al. 2008), can result in legacy effects that impact future generations of the host species (Karst et al. 2015). For example, in areas of western North America dramatically impacted by the mountain pine beetle-induced dieback of lodgepole pine (Pinus contorta), EMF have declined significantly (Treu et al. 2014). Seedlings grown in soils from beetle-attacked pine stands expressed both reduced biomass and reduced production of monoterpenes compared with those grown in soil from undisturbed pine stands, revealing a transgenerational cascade mediated by fungal symbionts (Karst et al. 2015).

In addition to nutrients and defence chemicals, allelochemicals have also been shown to travel between plants through hyphal mycelia (Barto et al. 2011; Achatz et al. 2014), revealing that not all chemicals moving through the MN benefit the receiving plant. Barto et al. (2011) demonstrated that MNs facilitated the transport of natural allelochemicals, thiophenes, as well as the herbicide, imazamox, resulting in decreased growth in receiver plants. Likewise, tomato plants received more jugalone, an allelochemical, and responded with reduced growth when connected to an MN when compared with control treatments lacking an MN (Achatz et al. 2014). These examples of amensalism demonstrate that MNs can serve as couriers for biochemical warfare, or negative feedback, from one plant species to another. In previous studies, allelochemicals, demonstrated under laboratory conditions to reduce vigour and growth of recipient plants, were discounted as having meaningful impact in situ due to the assumption that they were transmitted through aerial release (Duke 2010). In this manner, they would dilute quickly, precluding a targeted attack. The targeted delivery through an MN, however, demonstrates the important role of MNs in isolating plant behavioural responses to allelochemicals. Thus, the ability of the MN to facilitate allelochemical delivery represents a higher order interaction with direct impacts on the behaviour of the sender and receiver plants.

Mechanisms for Adaptive Behaviour

Plant genotypes have shown heritability for mycorrhizal fungal traits (Rosado et al. 1994a; Temel et al. 2005) and vice versa (Rosado et al. 1994b), indicating a mechanism by which MNs play a role in host fitness and adaptive behaviour. At the most basic level, the type of association, whether AMF or EMF, depends on the identity of the plant. Further, within those categories, some plants will associate with a subset of fungal species (Brundrett 2009). The spectrum of symbiotic relationships can range from mutualistic, where both partners benefit, or commensal, where one partner benefits while the other is unaffected, to parasitic where one partner exploits the other (Egger and Hibbett 2004). These are expressed in plant adaptive behaviours such as survival, longevity, growth, physiology, carbon allocation or reproduction. A fungus can express a mutualism with one plant, while simultaneously exploiting a different plant. Mycoheterotrophic plants are perhaps the most extreme example of this type of exploitation, where a plant acquires all of its carbon by parasitizing fungi through the MN (e.g. Leake 1994; Massicotte et al. 2012). These plants link into the MN of a nearby tree and siphon off photosynthate, enabling them to survive and grow. Importantly this reveals the existence of a mechanism by which plants can acquire nutritional levels of carbon from mycorrhizal fungi. The fitness of all participants in this scenario is increased by the existence of the MN: (i) the mycorrhizal fungus acquires carbon from the tree (or multiple trees) and may use the mycoheterotroph as the staging ground for long-distance exploration and colonization, (ii) the mycoheterotroph acquires carbon from the fungus and (iii) the tree gains access to a wider pool of soil resources, and potentially connection to other trees facilitating the detection of defence signals.

The relatedness of neighbours in mono-specific plant communities can also influence whether MNs will elicit adaptive behavioural changes. For example, foliar nutrition in AMF Ambrosia artisifolia L. improved when it was integrated into an MN with related plants but not conspecific strangers (File et al. 2012). Likewise, in mono-specific pairs of EMF interior Douglas-fir grown in greenhouse conditions, foliar micronutrients were increased in kin compared with strangers grown with older conspecifics (Asay 2013). This appears to be linked with mycorrhizal association of this system as mycorrhizal colonization was also elevated in kin seedlings (File et al. 2012; Asay 2013). These findings reveal that MNs can play an integral role in kin selection, but the exact mechanisms by which they do this are unclear. However, there is strong evidence that biochemical signals derived from mycorrhizas or roots are involved. For example, Semchenko et al. (2014) showed that root exudates carried specific information about the genetic relatedness, population origin and species identity of neighbours, and locally applied exudates triggered different root behaviour responses of neighbours. This included increased root density, achieved through changes in morphology rather than biomass allocation, suggesting the plants limited the energetic cost of their behaviour.

Because the overwhelming majority of plants are predominantly mycorrhizal in situ, any root exudates involved in kin recognition are likely to be filtered through mycorrhizal fungi. In a recent study using stable-isotope probing, we found that MNs transmitted more carbon from older ‘donor’ Douglas-fir seedlings to the roots of younger kin ‘receiver’ seedlings than to stranger ‘receiver’ seedlings, suggesting a fitness advantage to genetically related neighbours (Pickles et al. unpubl.). This may have been facilitated by the greater mycorrhizal colonization of kin than stranger seedlings (Asay 2013), creating a stronger sink in the MN, an effect also noted in the study by File et al. (2012). The greater colonization of kin seedlings may have arisen from complimentary genetics of the fungal genet and tree genotype (e.g. Rosado et al. 1994a, b). In order to establish a mutualism, fungi must overcome a tree's pathogen defence system, which involves the activation of genes to express specific enzymes. Recent work has shown that the EMF species Laccaria bicolor secretes an effector protein (MiSSP7) that suppresses host jasmonic acid production, a typical host defence response that interferes with fungal infection, with the effect of enhancing L. bicolor colonization of host roots (Plett et al. 2014). Furthermore, Populus host plants have been shown to induce the production of MiSSP7 in L. bicolor through flavonoids present in their root exudates (Plett and Martin 2012). Taken together these findings reveal one mechanism by which plants actively communicate with fungal symbionts to encourage root colonization, with direct consequences for plant behaviour. Thus, related plants may more easily establish mutualisms as a result of the priming effects of root exudates (e.g., Semchenko et al. 2014), which may also lower the resource costs of enzyme production, or promote genotypic complementarity between hosts and co-adapted fungal associates. More research is needed to clarify the role of each player in this system. Nonetheless, kin selection is occurring as evidenced by kin versus stranger behaviour differences, and is connected to the formation of MNs, although the mechanism through which the MN elicits the behaviour response remains to be resolved.

Evolution of MN-Mediated Plant Behaviour

The evolutionary ecology of MNs and the consequences for plant and fungal fitness has been discussed both in terms of individual selection and multi-level or group selection (Perry 1995; Wilkinson 1998; Babikova et al. 2013; Johnson and Gilbert 2015). In this section, we revisit these discussions with evidence from our own research investigating the MN effects on plant behaviour. The questions, rephrased from Perry (1995), are: Why should a plant support a mycorrhizal fungus that provides carbon (or nutrients or defence signals) to a competing plant? Why would a fungus pass carbon it acquires from one plant to another plant? Upon reviewing the evidence, we agree with Wilkinson (1998) that individual selection appears sufficient to explain evolution within MNs, but we also concur with Perry (1995) and Whitham et al. (2006) that this individual selection can occur within a community context. Several explanations for this are possible, and it is reasonable that a plurality of mechanisms occurs, but the relative contribution of one over the other may vary depending on the conditions of the MN.

Assuming that selection occurs at the individual or gene level, we suggest two possible reasons why a plant would support a fungus that then passes its carbon to another plant. First, if seed dispersal from the parent is limited, as we know is the case in forests (Perry et al. 2008), then there could be a high degree of relatedness between parent trees and neighbouring seedlings. Given that nearby neighbours are more likely to be relatives, a plant may pass carbon to an MN that then passes it to a relative, resulting in kin selection. This is inclusive fitness, where it is beneficial to a plant to ensure the shared genes of a related neighbour are passed on, provided the cost to the parent individual is not too high. The occurrence of kin selection in conifers, and the involvement of mycorrhizal fungi in the mechanism, has been demonstrated in our studies with Douglas-fir. We found greater mycorrhizal colonization, micronutrient levels (Asay 2013) and twice as much carbon transferred from established Douglas-fir to nearby kin than stranger neighbours (B. J. Pickles et al. unpubl.). This suggests that Douglas-fir trees connected in a Rhizopogon network in mono-specific stands (Beiler et al. 2010) may behave much like a clonal plant, shuttling resource across the network to related plants in need, increasing the fitness of the evolving genotype. Congruently, we have also found large amounts of carbon (5 % of total photosynthesis) passed through the MN between Betula nana plants that are clonal in the Low Arctic Tundra. This carbon transfer appears to be supporting the expansion of related clones through the tundra during warmer periods of the growing season (Deslippe and Simard 2011). But what if the recipient plants are unrelated—that is, they are neither kin seedlings nor ramets? We have found that carbon, albeit in small amounts, can pass from mature Douglas-fir trees through MNs to unrelated Douglas-fir seedlings (Teste et al. 2009). Could the transfer of carbon to unrelated seedlings simply be a cost of being linked into MN, or do the donor trees have any control over where and how much carbon is transferred? Our studies point to the latter. Teste et al. (2009, 2010) found that Douglas-fir trees transferred more carbon and nitrogen to neighbouring seedlings where the donor tree was larger or the receiver seedlings had a greater demand. Moreover, we have found that Douglas-fir transferred net amounts of carbon to neighbours of a different species, paper birch, which then passed the net amounts of carbon back to Douglas-fir at a different time of year (Philip 2006) and when it was under increasing shade (Simard et al. 1997b). These studies demonstrated that the amount of carbon transferred depended on the strength of the sink and the input of the donor (Teste et al. 2009, 2010), and thus suggest a degree of control by the donor over the amount of carbon passed to the networking fungi, where the donor may donate excess photosynthate to the MN where it is then shuttled based on strength of the sink (Simard et al. 2012). From the plant's perspective, the second reason why it would pass carbon to its networking fungus that then passes it to an unrelated plant individual is that there is an evolutionary advantage to the plant through support of the highly diverse and adaptive mycorrhizal symbionts in the MN. The generalist fungal species in the MN can rapidly evolve to the temporally and spatially diverse environment, providing a mechanism for the longer-lived plants and trees to cope with an uncertainty and variability (Wilkinson 1998).

The second question, why a networking fungus would pass carbon from one plant to another, can also be explained by individual selection. If the networking fungus acquires more carbon from one plant than it requires for its own fitness, it can then supply the excess carbon to other networked plants in need, thus diversifying its carbon portfolio for insurance against potential loss of one of the hosts. This more secure carbon source from multiple plants is important to the fitness of the fungal species in variable environments (Perry et al. 1989; Wilkinson 1998). From the fungal species perspective, the relatedness of plants involved in the network should be of no consequence, as long as a long-term carbon source is secured. Heil and Karban (2009) similarly suggest that interplant communication via VOC stress signals may be an unavoidable consequence of individual defence strategies or are an extension of within-plant signalling. Interestingly, the greater stability found in mixed species plant communities than monocultures (Tilman et al. 2001; Perry et al. 2008) suggests that networking and communicating with multiple plant species is a lower risk strategy for the fungus in the MN than networking with only a single plant species. In support of this, we found that ponderosa pine received both carbon and defence signals from damaged neighbouring Douglas-fir through networking mycorrhizal fungi (Song et al. 2015). Here, the networking fungus may have acted to protect its net carbon source, by allocating carbon and signals to the healthy, more reliable ponderosa pine. In unstable environments, such as ecosystems under stress and experiencing species turnover as a result of climate change, the MN may therefore benefit from transferring carbon and defence signals interspecifically, favouring hosts that can supply more carbon (Kiers et al. 2011). Babikova et al. (2013) also suggested that allocating stress signals to plants that supply more carbon would benefit the fungus most. It is possible, therefore, that MN-based transfers and signals have evolved through costs and benefits to favour reciprocation, but also remain more generic among multiple plants species in stressful environments for long-term stability. Nothing is known about the specificity of transfer or signalling pathways through MNs (Johnson and Gilbert 2015), but the differences in specificity of herbivores, and the differences in stability in mixed versus monoculture plant communities, provide fertile grounds for further research.

Group selection is considered to occur where natural selection expresses at the level of the group instead of the individual. It is thought possible where there is an organization of individuals into groups that have a complex social structure that promotes the fitness of group members. When considering that group selection occurs at the level of the species for the formation of groups, it is important to note that there is congruence between individual and group selection theory. Perry (1995) argues that evidence for group selection exists in cooperative guilds, where multiple plants are linked together by MNs for mutual aid. The guilds are then stabilized either through tit-for-tat relationships or reciprocal altruism between the plants and the fungi. It is through these internal relationships and positive feedbacks that the self-organizing behaviour of the guild or group develops. Cooperative guilds exist in communities, especially forests, where species share an ecological commons and experience stochastic disturbance that leads to hiatus in one or more plant species (Perry 1995). There is evidence for both tit-for-tat and reciprocal altruism in MNs in forests, both which would be resistant to cheaters (i.e. individuals that benefit without reciprocating). Tit-for-tat, distinct from mutualisms, is evident in bidirectional transfer between paper birch and Douglas-fir (Simard et al. 1997a, b; Philip et al. 2010) and between unrelated Douglas-fir (Teste et al. 2010). This cooperative bidirectional exchange occurs over a period of a few days and appears to be related to the behaviour and possibly fitness of the individuals involved in the network. However, reciprocal altruism, or repeated prisoners dilemma, occurs over longer time periods, and this explanation is more congruent with the highly variable disturbances and hiatus in forests. There is some evidence for reciprocal altruism through the switches in the direction of net carbon transfer between paper birch and Douglas-fir (Philip 2006) or maple and trout lily seedlings (Lerat et al. 2002) in response to differential changes in plant phenology over a period of several months. The hyperlinking that occurs in Douglas-fir—Rhizopogon networks also illustrates that topology of MNs is designed for such complex reciprocal exchanges between trees. The trees in these and other forests are considered foundational species (Simard 2009), and the traits of foundational trees have been shown to have heritable effects on the associated networking mycorrhizal fungi (Rosado et al. 1994a, b), bird and arthropod communities (Whitham et al. 2006), soil microbes (Schweitzer et al. 2008), and potentially gene regulation of connected neighbours connected (Song et al. 2015) and the biochemistry of subsequent generations of seedlings (Karst et al. 2015), suggestive of group selection. As such, group selection may help explain why forest productivity and tree disease resistance in communities of Douglas-fir, paper birch, their inter-linking mycorrhizal fungi and associative soil microbes are enhanced compared with monocultures of Douglas-fir alone (Simard et al. 2005). However, studies are needed to test whether groups actually do benefit from MN-driven plant behaviour changes.

Complex Adaptive Systems

Underground ‘tree talk’ is a foundational process in the complex adaptive nature of forest ecosystems. Since plants form the basis of terrestrial ecosystems, their behavioural interactions, feedbacks and influences are important in generating the emergent properties of ecosystems (Levin 2005). Given the connectivity inherent in the formation of MNs and the impressive array of plant behavioural interactions that can be mediated through them, plant behaviour and MNs are intricately linked. In the interior Douglas-fir forests of British Columbia, seedlings regenerate within the MN of old conspecific trees. The architecture of the MN is scale-free, where hub trees are highly connected relative to other trees in the forest (Beiler et al. 2010), and this is characteristic of a complex adaptive system (Simard et al. 2013; Beiler et al. 2015). The scale of the MN is at least on the order of tens of metres (Beiler et al. 2010) and potentially much larger, with a single fungus sometimes spanning hundreds of hectares of forest (Ferguson et al. 2003). Recent work on the diversity of plant–fungal connections in forests revealed multiple levels of nestedness in the associations between host plants and fungal symbionts (Toju et al. 2014; Beiler et al. 2015). Each individual component (plant or fungus) of the ecosystem-wide network will, therefore, have a different potential to influence the behaviour of every other individual based on the extent, diversity and hierarchical level of its connections. As discussed above, the connections created by mycorrhizal fungi are agents for both positive (Song et al. 2010) and negative (Achatz et al. 2014) feedbacks to complex adaptive plant behaviour, which lead to self-organization of ecosystems (Simard et al. 2013; Beiler et al. 2015). Resilience is an emergent property of the interactions and feedbacks in scale-free networks (Levin 2005). Targeted loss of hub trees, however, can cross thresholds that destabilize ecosystems. Through the study of MNs, we are beginning to characterize the connections that are important to behaviour of system agents and thus ecosystem stability.

Future Research

With evidence emerging about the potential levels of connectivity in a forest, as well as the extent of the influence that an MN can have, further work to determine the drivers of the senders and receivers, and the nature of the couriers and messages along the mycorrhizal communication highway is all the more relevant. Roots in soil compete (Cahill et al. 2010), yet neighbouring trees share vital resources under stress (Philip 2006). The fungi involved may mediate competition between plants and allow for cooperation (Kiers and van der Heijden 2006). Observing the movement of resources and signalling molecules in field situations will give us a better understanding of how the various components discovered in greenhouse experiments actually manifests to generate the complex ecosystem patterns we observe. Thus the creation of field experiments that examine the scale and diversity of plant communication and behavioural responses taking place exclusively through MN are crucial. Further elucidation of the array of plant signalling molecules that can be transported via the MN will help to establish the full suite of belowground communications that are possible. Finally, experiments are needed to better understand selective mechanisms involved in the evolutionary ecology of MNs.

Sources of Funding

This work is supported by an NSERC CGS-D to M.A.G. and an NSERC Discovery Grant and NSERC CREATE Grant to S.W.S.

Contributions by the Authors

S.W.S. conceived the idea behind the review, M.A.G. and S.W.S. wrote the first draft, and S.W.S., M.A.G., A.K.A. and B.J.P. contributed to subsequent drafts and provided comments.

Conflict of Interest Statement

None declared.

Literature Cited

  1. Achatz M, Morris EK, Müller F, Hilker M, Rillig MC. 2014. Soil hypha-mediated movement of allelochemicals: arbuscular mycorrhizae extend the bioactive zone of juglone (K Field, Ed.). Functional Ecology 28:1020–1029. 10.1111/1365-2435.12208 [DOI] [Google Scholar]
  2. Asay A. 2013. Mycorrhizal facilitation of kin recognition in interior Douglas-fir (Pseudotsuga menziesii var. glauca). UBC Masters Thesis. http://hdl.handle.net/2429/45400. [Google Scholar]
  3. Averill C, Turner BL, Finzi AC. 2014. Mycorrhiza-mediated competition between plants and decomposers drives soil carbon storage. Nature 505:543–545. 10.1038/nature12901 [DOI] [PubMed] [Google Scholar]
  4. Babikova Z, Gilbert L, Bruce TJA, Birkett M, Caulfield JC, Woodcock C, Pickett JA, Johnson D. 2013. Underground signals carried through common mycelial networks warn neighbouring plants of aphid attack. Ecology Letters 16:835–843. 10.1111/ele.12115 [DOI] [PubMed] [Google Scholar]
  5. Baleshta KE, Simard SW, Guy RD, Chanway CP. 2005. Reducing paper birch density increases Douglas-fir growth rate and Armillaria root disease incidence in southern interior British Columbia. Forest Ecology and Management 208:1–13. 10.1016/j.foreco.2004.07.076 [DOI] [Google Scholar]
  6. Baluška F, Volkmann D, Hlavacka A, Mancuso S, Barlow PW. 2006. Neurological view of plants and their body plan. In: Baluška F, Mancuso S, Volkmann D, eds. Communication in Plants. Berlin, Heidelberg: Springer, 19–35. [Google Scholar]
  7. Barto EK, Hilker M, Müller F, Mohney BK, Weidenhamer JD, Rillig MC. 2011. The fungal fast lane: common mycorrhizal networks extend bioactive zones of allelochemicals in soils. PLoS ONE 6:e27195 10.1371/journal.pone.0027195 [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Barto EK, Weidenhamer JD, Cipollini D, Rillig MC. 2012. Fungal superhighways: do common mycorrhizal networks enhance below ground communication? Trends in Plant Science 17:633–637. 10.1016/j.tplants.2012.06.007 [DOI] [PubMed] [Google Scholar]
  9. Beiler KJ, Durall DM, Simard SW, Maxwell SA, Kretzer AM. 2010. Architecture of the wood-wide web: Rhizopogon spp. genets link multiple Douglas-fir cohorts. New Phytologist 185:543–553. 10.1111/j.1469-8137.2009.03069.x [DOI] [PubMed] [Google Scholar]
  10. Beiler KJ, Simard SW, Durall DM. 2015. Topology of tree-mycorrhizal fungus interaction networks in xeric and mesic Douglas-fir forests. Journal of Ecology 3:616–628. [Google Scholar]
  11. Bingham MA, Simard SW. 2011. Do mycorrhizal network benefits to survival and growth of interior Douglas-fir seedlings increase with soil moisture stress? Ecology and Evolution 1:306–316. 10.1002/ece3.24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Bingham MA, Simard S. 2012. Ectomycorrhizal networks of Pseudotsuga menziesii var. glauca trees facilitate establishment of conspecific seedlings under drought. Ecosystems 15:188–199. [Google Scholar]
  13. Björkman E. 1970. Forest tree mycorrhiza - the conditions for its formation and the significance for tree growth and afforestation. Plant and Soil 32:589–610. [Google Scholar]
  14. Brundrett MC. 2009. Mycorrhizal associations and other means of nutrition of vascular plants: understanding the global diversity of host plants by resolving conflicting information and developing reliable means of diagnosis. Plant and Soil 320:37–77. 10.1007/s11104-008-9877-9 [DOI] [Google Scholar]
  15. Cahill JF, McNickle GG, Haag JJ, Lamb EG, Nyanumba SM, St. Clair CC. 2010. Plants integrate information about nutrients and neighbors. Science 328:1657. [DOI] [PubMed] [Google Scholar]
  16. DeLong RL, Lewis KJ, Simard SW, Gibson S. 2002. Fluorescent pseudomonad population sizes baited from soils under pure birch, pure Douglas-fir, and mixed forest stands and their antagonism toward Armillaria ostoyae in vitro. Canadian Journal of Forest Research 32:2146–2159. 10.1139/x02-141 [DOI] [Google Scholar]
  17. Deslippe JR, Simard SW. 2011. Below-ground carbon transfer among Betula nana may increase with warming in Arctic tundra. New Phytologist 192:689–698. 10.1111/j.1469-8137.2011.03835.x [DOI] [PubMed] [Google Scholar]
  18. Dickie IA, Koide RT, Steiner KC. 2002. Influences of established trees on mycorrhizas, nutrition, and growth of Quercus rubra seedlings. Ecological Monographs 72:505–521. 10.1890/0012-9615(2002)072[0505:IOETOM:2.0.CO;2 [DOI] [Google Scholar]
  19. Dickie IA, Koele N, Blum JD, Gleason JD, McGlone MS. 2014. Mycorrhizas in changing ecosystems. Botany 92:149–160. 10.1139/cjb-2013-0091 [DOI] [Google Scholar]
  20. Duke SO. 2010. Allelopathy: current status of research and future of the discipline: a commentary. Allelopathy Journal 25:17–29. [Google Scholar]
  21. Eason WR, Newman EI, Chuba PN. 1991. Specificity of interplant cycling of phosphorus: the role of mycorrhizas. Plant and Soil 137:267–274. 10.1007/BF00011205 [DOI] [Google Scholar]
  22. Egerton-Warburton LM, Querejeta JI, Allen MF. 2007. Common mycorrhizal networks provide a potential pathway for the transfer of hydraulically lifted water between plants. Journal of Experimental Botany 58:1473–1483. 10.1093/jxb/erm009 [DOI] [PubMed] [Google Scholar]
  23. Egger KN, Hibbett DS. 2004. The evolutionary implications of exploitation in mycorrhizas. Canadian Journal of Botany 82:1110–1121. 10.1139/b04-056 [DOI] [Google Scholar]
  24. Felten J, Legué V, Ditengou FA. 2010. Lateral root stimulation in the early interaction between Arabidopsis thaliana and the ectomycorrhizal fungus Laccaria bicolor: is fungal auxin the trigger? Plant Signaling and Behavior 5:864–867. 10.4161/psb.5.7.11896 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Ferguson BA, Dreisbach TA, Parks CG, Filip GM, Schmitt CL. 2003. Coarse-scale population structure of pathogenic Armillaria species in a mixed-conifer forest in the Blue Mountains of northeast Oregon. Canadian Journal of Forest Research 33:612–623. 10.1139/x03-065 [DOI] [Google Scholar]
  26. File AL, Klironomos J, Maherali H, Dudley SA. 2012. Plant kin recognition enhances abundance of symbiotic microbial partner. PLoS ONE 7:e45648 10.1371/journal.pone.0045648 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Fitter AH, Graves JD, Watkins NK, Robinson D, Scrimgeour C. 1998. Carbon transfer between plants and its control in networks of arbuscular mycorrhizas. Functional Ecology 12:406–412. 10.1046/j.1365-2435.1998.00206.x [DOI] [Google Scholar]
  28. Francis R, Read DJ. 1984. Direct transfer of carbon between plants connected by vesicular–arbuscular mycorrhizal mycelium. Nature 307:53–56. [Google Scholar]
  29. Frankenberger WT Jr, Poth M. 1987. Biosynthesis of indole-3-acetic acid by the pine ectomycorrhizal fungus Pisolithus tinctorius. Applied and Environmental Microbiology 53:2908–2913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Gay G, Normand L, Marmeisse R, Sotta B, Debaud JC. 1994. Auxin overproducer mutants of Hebeloma cylindrosporum Romagnesi have increased mycorrhizal activity. New Phytologist 128:645–657. 10.1111/j.1469-8137.1994.tb04029.x [DOI] [Google Scholar]
  31. Hanlon MT, Coenen C. 2011. Genetic evidence for auxin involvement in arbuscular mycorrhiza initiation. New Phytologist 189:701–709. 10.1111/j.1469-8137.2010.03567.x [DOI] [PubMed] [Google Scholar]
  32. He X, Xu M, Qiu GY, Zhou J. 2009. Use of 15N stable isotope to quantify nitrogen transfer between mycorrhizal plants. Journal of Plant Ecology 2:107–118. 10.1093/jpe/rtp015 [DOI] [Google Scholar]
  33. Heaton LLM, López E, Maini PK, Fricker MD, Jones NS. 2012. Advection, diffusion, and delivery over a network. Physical Review E 86:021905 10.1103/PhysRevE.86.021905 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Heil M, Karban R. 2009. Explaining evolution of plant communication by airborne signals. Trends in Ecology & Evolution 25:137–144. [DOI] [PubMed] [Google Scholar]
  35. Hodge A. 2004. The plastic plant: root responses to heterogeneous supplies of nutrients. New Phytologist 162:9–24. 10.1111/j.1469-8137.2004.01015.x [DOI] [Google Scholar]
  36. Horton TR, Bruns TD. 2001. The molecular revolution in ectomycorrhizal ecology: peeking into the black-box. Molecular Ecology 10:1855–1871. [DOI] [PubMed] [Google Scholar]
  37. Humphreys CP, Franks PJ, Rees M, Bidartondo MI, Leake JR, Beerling DJ. 2010. Mutualistic mycorrhiza-like symbiosis in the most ancient group of land plants. Nature Communications 1:103 10.1038/ncomms1105 [DOI] [PubMed] [Google Scholar]
  38. Hynson NA, Mambelli S, Amend AS, Dawson TE. 2012. Measuring carbon gains from fungal networks in understory plants from the tribe Pyroleae (Ericaceae): a field manipulation and stable isotope approach. Oecologia 169:307–317. 10.1007/s00442-011-2198-3 [DOI] [PubMed] [Google Scholar]
  39. Johnson D, Gilbert L. 2015. Interplant signalling through hyphal networks. New Phytologist 205:1448–1453. [DOI] [PubMed] [Google Scholar]
  40. Kai M, Haustein M, Molina F, Petri A, Scholz B, Piechulla B. 2009. Bacterial volatiles and their action potential. Applied Microbiology and Biotechnology 81:1001–1012. [DOI] [PubMed] [Google Scholar]
  41. Karabaghli-Degron C, Sotta B, Bonnet M, Gay G, Le Tacon F. 1998. The auxin transport inhibitor 2,3,5-triiodobenzoic acid (TIBA) inhibits the stimulation of in vitro lateral root formation and the colonization of the tap-root cortex of Norway spruce (Picea abies) seedlings by the ectomycorrhizal fungus Laccaria bicolor. New Phytologist 140:723–733. 10.1046/j.1469-8137.1998.00307.x [DOI] [PubMed] [Google Scholar]
  42. Karban R. 2008. Plant behaviour and communication. Ecology Letters 11:727–739. 10.1111/j.1461-0248.2008.01183.x [DOI] [PubMed] [Google Scholar]
  43. Kariman K, Barker SJ, Finnegan PM, Tibbett M. 2012. Dual mycorrhizal associations of jarrah (Eucalyptus marginata) in a nurse-pot system. Australian Journal of Botany 60:661 10.1071/BT12152 [DOI] [Google Scholar]
  44. Karst J, Erbilgin N, Pec GJ, Cigan PW, Najar A, Simard SW, Cahill JF Jr. 2015. Ectomycorrhizal fungi mediate indirect effects of a bark beetle outbreak on secondary chemistry and establishment of pine seedlings. New Phytologist, 10.1111/nph.13492. [DOI] [PubMed] [Google Scholar]
  45. Kiers ET, van der Heijden MGA. 2006. Mutualistic stability in the arbuscular mycorrhizal symbiosis: exploring hypotheses of evolutionary cooperation. Ecology 87:1627–1636. 10.1890/0012-9658(2006)87[1627:MSITAM:2.0.CO;2 [DOI] [PubMed] [Google Scholar]
  46. Kiers ET, Duhamel M, Beesetty Y, Mensah JA, Franken O, Verbruggen E, Fellbaum CR, Kowalchuk GA, Hart MM, Bago A, Palmer TM, West SA, Vandenkoornhuyse P, Jansa J, Bücking H. 2011. Reciprocal rewards stabilize cooperation in the mycorrhizal symbiosis. Science 333:880–882. 10.1126/science.1208473 [DOI] [PubMed] [Google Scholar]
  47. Koch AM, Kuhn G, Fontanillas P, Fumagalli L, Goudet J, Sanders IR. 2004. High genetic variability and low local diversity in a population of arbuscular mycorrhizal fungi. Proceedings of the National Academy of Sciences of the USA 101:2369–2374. 10.1073/pnas.0306441101 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Kurz WA, Dymond CC, Stinson G, Rampley GJ, Neilson ET, Carroll AL, Ebata T, Safranyik L. 2008. Mountain pine beetle and forest carbon feedback to climate change. Nature 452:987–990. 10.1038/nature06777 [DOI] [PubMed] [Google Scholar]
  49. Lang C, Seven J, Polle A. 2011. Host preferences and differential contributions of deciduous tree species shape mycorrhizal species richness in a mixed Central European forest. Mycorrhiza 21:297–308. 10.1007/s00572-010-0338-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Leake JR. 1994. The biology of myco-heterotrophic (‘saprophytic’) plants. New Phytologist 127:171–216. 10.1111/j.1469-8137.1994.tb04272.x [DOI] [PubMed] [Google Scholar]
  51. Lerat S, Gauci R, Catford JG, Vierheilig H, Piche Y, Lapointe L. 2002. 14C transfer between the spring ephemeral Erythronium americanum and sugar maple saplings via arbuscular mycorrhizal fungi in natural stands. Oecologia 132:181–187. [DOI] [PubMed] [Google Scholar]
  52. Levin SA. 2005. Self-organization and the emergence of complexity in ecological systems. BioScience 55:1075 10.1641/0006-3568(2005)055[1075:SATEOC:2.0.CO;2 [DOI] [Google Scholar]
  53. Massicotte H, Peterson R, Melville L, Luoma DL. 2012. Biology of mycoheterotrophic and mixotrophic plants. Biocomplexity of plant-fungal interactions. Oxford, UK: Wiley-Blackwell, 109–130. [Google Scholar]
  54. McNickle GG, St. Clair CC, Cahill JF Jr. 2009. Focusing the metaphor: plant root foraging behaviour. Trends in Ecology and Evolution 24:419–426. 10.1016/j.tree.2009.03.004 [DOI] [PubMed] [Google Scholar]
  55. Molina R, Massicotte H, Trappe JM. 1992. Specificity phenomena in mycorrhizal symbioses: community-ecological consequences and practical implications. In: Allen MF, ed. Mycorrhizal functioning: an integrative plant-fungal process. New York: Chapman and Hall, 357–423. [Google Scholar]
  56. Nara K. 2006. Ectomycorrhizal networks and seedling establishment during early primary succession. New Phytologist 169:169–178. 10.1111/j.1469-8137.2005.01545.x [DOI] [PubMed] [Google Scholar]
  57. Newman EI. 1988. Mycorrhizal links between plants: their functioning and ecological significance. Advances in Ecological Research 18:243–270. 10.1016/S0065-2504(08)60182-8 [DOI] [Google Scholar]
  58. Novoplansky A. 2009. Picking battles wisely: plant behaviour under competition. Plant, Cell and Environment 32:726–741. 10.1111/j.1365-3040.2009.01979.x [DOI] [PubMed] [Google Scholar]
  59. Perry DA. 1995. Self-organizing systems across scales. Trends in Ecology & Evolution 10:241–244. 10.1111/j.1365-3040.2009.01979.x [DOI] [PubMed] [Google Scholar]
  60. Perry DA, Margolis H, Choquette C, Molina R, Trappe JM. 1989. Ectomycorrhizal mediation of competition between coniferous tree species. New Phytologist 112:501–511. 10.1111/j.1469-8137.1989.tb00344.x [DOI] [PubMed] [Google Scholar]
  61. Perry GLW, Enright NJ, Miller BP, Lamont BB. 2008. Spatial patterns in species-rich sclerophyll shrublands of southwestern Australia. Journal of Vegetation Science 19:705–716. [Google Scholar]
  62. Peterson R, Massicotte H, Melville L. 2004. Mycorrhizas: anatomy and cell biology. Ottawa: CABI Publishing. [Google Scholar]
  63. Philip L, Simard S, Jones M. 2010. Pathways for below-ground carbon transfer between paper birch and Douglas-fir seedlings. Plant Ecology & Diversity 3:221–233. [Google Scholar]
  64. Philip LJ. 2006. Carbon transfer between ectomycorrhizal paper birch (Betula papyrifera) and Douglas-fir (Pseudotsuga menziesii). PhD Thesis, University of British Columbia, Vancouver, BC. [Google Scholar]
  65. Pickles BJ, Genney DR, Potts JM, Lennon JJ, Anderson IC, Alexander IJ. 2010. Spatial and temporal ecology of Scots pine ectomycorrhizas. New Phytologist 186:755–768. 10.1111/j.1469-8137.2010.03204.x [DOI] [PubMed] [Google Scholar]
  66. Plett JM, Martin F. 2012. Poplar root exudates contain compounds that induce the expression of MiSSP7 in Laccaria bicolor. Plant Signaling and Behavior 7:12–15. 10.4161/psb.7.1.18357 [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Plett JM, Daguerre Y, Wittulsky S, Vayssières A, Deveau A, Melton SJ, Kohler A, Morrell-Falvey JL, Brun A, Veneault-Fourrey C, Martin F. 2014. Effector MiSSP7 of the mutualistic fungus Laccaria bicolor stabilizes the Populus JAZ6 protein and represses jasmonic acid (JA) responsive genes. Proceedings of the National Academy of Sciences of the USA 111:8299–8304. 10.1073/pnas.1322671111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Read DJ, Bajwa R. 1985. Some nutritional aspects of the biology of ericaceous mycorrhizas. Proceedings of the Royal Society of Edinburgh. Section B. Biological Sciences 85:317–331. 10.1017/S0269727000004097 [DOI] [Google Scholar]
  69. Redecker D, Kodner R, Graham LE. 2000. Glomalean fungi from the Ordovician. Science 289:1920–1921. 10.1126/science.289.5486.1920 [DOI] [PubMed] [Google Scholar]
  70. Reid CPP, Woods FW. 1969. Translocation of C14-labeled compounds in mycorrhizae and it implications in interplant nutrient cycling. Ecology 50:179–187. 10.2307/1934844 [DOI] [Google Scholar]
  71. Rosado SCS, Kropp BR, Piché Y. 1994a. Genetics of ectomycorrhizal symbiosis. I. Host plant variability and heritability of ectomycorrhizal and root traits. New Phytologist 126:105–110. 10.1111/j.1469-8137.1994.tb07535.x [DOI] [Google Scholar]
  72. Rosado SCS, Kropp BR, Piché Y. 1994b. Genetics of ectomycorrhizal symbiosis. II. Fungal variability and heritability of ectomycorrhizal traits. New Phytologist 126:111–117. 10.1111/j.1469-8137.1994.tb07544.x [DOI] [Google Scholar]
  73. Rosendahl S. 2008. Communities, populations and individuals of arbuscular mycorrhizal fungi. New Phytologist 178:253–266. 10.1111/j.1469-8137.2008.02378.x [DOI] [PubMed] [Google Scholar]
  74. Sachs D. 1996. Simulation of the growth of mixed stands of Douglas-fir and paper birch using the FORECAST model. In: Comeau PG, Thomas KD, eds. Silviculture of temperate and boreal broadleaf-conifer mixtures. British Columbia Land Management Handbook, 36 Victoria, BC: British Columbia Ministry of Forests, 152–158. [Google Scholar]
  75. Scagel CF, Linderman RG. 1998. Relationships between differential in vitro indole-acetic acid or ethylene production capacity by ectomycorrhizal fungi and conifer seedling responses in symbiosis. Symbiosis 24:13–34. [Google Scholar]
  76. Schoonmaker AL, Teste FP, Simard SW, Guy RD. 2007. Tree proximity, soil pathways and common mycorrhizal networks: their influence on the utilization of redistributed water by understory seedlings. Oecologia 154:455–466. 10.1007/s00442-007-0852-6 [DOI] [PubMed] [Google Scholar]
  77. Schweitzer JA, Bailey JK, Fischer DG, Leroy CJ, Lonsdorf EV, Whitham TG, Hart SC. 2008. Plant-soil-microorganism interactions: heritable relationship between plant genotype and associated soil microorganisms. Ecology 89:773–781. [DOI] [PubMed] [Google Scholar]
  78. Semchenko M, Saar S, Lepik A. 2014. Plant root exudates mediate neighbour recognition and trigger complex behavioural changes. New Phytologist 204:631–637. 10.1111/nph.12930 [DOI] [PubMed] [Google Scholar]
  79. Simard SW. 2009. The foundational role of mycorrhizal networks in self-organization of interior Douglas-fir forests. Forest Ecology and Management 258:95–107. [Google Scholar]
  80. Simard SW, Durall DM, Jones MD. 1997a. Carbon allocation and carbon transfer between Betula papyrifera and Pseudotsuga menziesii seedlings using a 13C pulse-labeling method. Plant and Soil 191:41–55. 10.1023/A:1004205727882 [DOI] [Google Scholar]
  81. Simard SW, Perry DA, Jones MD, Myrold DD, Durall DM, Molina R. 1997b. Net transfer of carbon between ectomycorrhizal tree species in the field. Nature 388:579–582. 10.1038/41557 [DOI] [PubMed] [Google Scholar]
  82. Simard SW, Hagerman SM, Sachs DL, Heineman JL, Mather WJ. 2005. Conifer growth, Armillaria ostoyae root disease, and plant diversity responses to broadleaf competition reduction in mixed forests of southern interior British Columbia. Canadian Journal of Forest Research 35:843–859. [Google Scholar]
  83. Simard SW, Beiler KJ, Bingham MA, Deslippe JR, Philip LJ, Teste FP. 2012. Mycorrhizal networks: mechanisms, ecology and modelling. Fungal Biology Reviews 26:39–60. 10.1016/j.fbr.2012.01.001 [DOI] [Google Scholar]
  84. Simard SW, Martin K, Vyse A, Larson B. 2013. Meta-networks of fungi, fauna and flora as agents of complex adaptive systems. In: Puettmann K, Messier C, Coates K, eds. Managing forests as complex adaptive systems: building resilience to the challenge of global change. New York: Routledge, 133–164. [Google Scholar]
  85. Simard SW, Asay AK, Beiler KJ, Bingham MA, Deslippe JR, Xinhua H, Philip LJ, Song Y, Teste FP. 2015. Resource transfer between plants through ectomycorrhizal fungal networks. In: Horton TR, ed. Mycorrhizal networks. Berlin: Springer. [Google Scholar]
  86. Smith H. 2000. Phytochromes and light signal perception by plants—an emerging synthesis. Nature 407:585–591. 10.1038/35036500 [DOI] [PubMed] [Google Scholar]
  87. Smith S, Read D. 2008. Mycorrhizal symbiosis. London: Academic Press. [Google Scholar]
  88. Song YY, Zeng RS, Xu JF, Li J, Shen X, Yihdego WG. 2010. Interplant communication of tomato plants through underground common mycorrhizal networks. PLoS ONE 5:e13324 10.1371/journal.pone.0013324 [DOI] [PMC free article] [PubMed] [Google Scholar]
  89. Song YY, Ye M, Li C, He X, Zhu-Salzman K, Wang RL, Su YJ, Luo SM, Zeng RS. 2014. Hijacking common mycorrhizal networks for herbivore-induced defence signal transfer between tomato plants. Scientific Reports 4:3915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  90. Song YY, Simard SW, Carroll A, Mohn WW, Zeng RS. 2015. Defoliation of interior Douglas-fir elicits carbon transfer and stress signalling to ponderosa pine neighbors through ectomycorrhizal networks. Scientific Reports 5:8495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Tedersoo L, May TW, Smith ME. 2010. Ectomycorrhizal lifestyle in fungi: global diversity, distribution, and evolution of phylogenetic lineages. Mycorrhiza 20:217–263. 10.1007/s00572-009-0274-x [DOI] [PubMed] [Google Scholar]
  92. Temel F, Johnson GR, Adams WT. 2005. Early genetic testing of coastal Douglas-fir for Swiss needle cast tolerance. Canadian Journal of Forest Research 35:521–529. 10.1139/x04-183 [DOI] [Google Scholar]
  93. Teste FP, Simard SW, Durall DM, Guy RD, Jones MD, Schoonmaker AL. 2009. Access to mycorrhizal networks and roots of trees: importance for seedling survival and resource transfer. Ecology 90:2808–2822. 10.1890/08-1884.1 [DOI] [PubMed] [Google Scholar]
  94. Teste FP, Simard SW, Durall DM, Guy RD, Berch SM. 2010. Net carbon transfer between Pseudotsuga menziesii var. glauca seedlings in the field is influenced by soil disturbance. Journal of Ecology 98:429–439. 10.1111/j.1365-2745.2009.01624.x [DOI] [Google Scholar]
  95. Tilman D, Reich PB, Knops J, Wedin D, Mielke T, Lehman C. 2001. Diversity and productivity in a long-term grassland experiment. Science 294:843–845. [DOI] [PubMed] [Google Scholar]
  96. Toju H, Guimarães PR, Olesen JM, Thompson JN. 2014. Assembly of complex plant–fungus networks. Nature Communications 5:5273 10.1038/ncomms6273 [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Treu R, Karst J, Randall M, Pec GJ, Cigan PW, Simard SW, Cooke JEK, Erbilgin N, Cahill JF. 2014. Decline of ectomycorrhizal fungi following a mountain pine beetle epidemic. Ecology 95:1096–1103. 10.1890/13-1233.1 [DOI] [PubMed] [Google Scholar]
  98. Van der Heijden MGA, Horton TR. 2009. Socialism in soil? The importance of mycorrhizal fungal networks for facilitation in natural ecosystems. Journal of Ecology 97:1139–1150. 10.1111/j.1365-2745.2009.01570.x [DOI] [Google Scholar]
  99. Walder F, Niemann H, Natarajan M, Lehmann MF, Boller T, Wiemken A. 2012. Mycorrhizal networks: common goods of plants shared under unequal terms of trade. Plant Physiology 159:789–797. 10.1104/pp.112.195727 [DOI] [PMC free article] [PubMed] [Google Scholar]
  100. Whitham TG, Bailey JK, Schweitzer JA, Shuster SM, Bangert RK, LeRoy CJ, Lonsdorf EV, Allan GJ, DiFazio SP, Potts BM, Fischer DG, Gehring KA, Lindroth RL, Marks JC, Hart SC, Wimp GM, Wooley SC. 2006. A framework for community and ecosystem genetics: from genes to ecosystems. Nature Reviews Genetics 7:510–523. [DOI] [PubMed] [Google Scholar]
  101. Wilkinson DM. 1998. The evolutionary ecology of mycorrhizal networks. Oikos 82:407–410. [Google Scholar]
  102. Wu B, Nara K, Hogetsu T. 2001. Can 14C-labeled photosynthetic products move between Pinus densiflora seedlings linked by ectomycorrhizal mycelia? New Phytologist 149:137–146. 10.1046/j.1469-8137.2001.00010.x [DOI] [PubMed] [Google Scholar]
  103. Wu B, Nara K, Hogetsu T. 2002. Spatiotemporal transfer of carbon-14-labelled photosynthate from ectomycorrhizal Pinus densiflora seedlings to extraradical mycelia. Mycorrhiza 12:83–88. 10.1007/s00572-001-0157-2 [DOI] [PubMed] [Google Scholar]

Articles from AoB Plants are provided here courtesy of Oxford University Press

RESOURCES