The Influence of Mycorrhizal Hyphal Connections and Neighbouring Plants on Plantago lanceolata Physiology and Nutrient Uptake

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G. Birt, Lewis P. Allen, Sam Madge, Clare H. Robinson, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6465715/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 02 Aug, 2025 Read the published version in Mycorrhiza → Version 1 posted 10 You are reading this latest preprint version Abstract Most plants extend their zone of interaction with surrounding soils and plants via mycorrhizal hyphae, which in some cases can form common mycorrhizal networks with hyphal continuity to other radial plants. These interactions can impact plant health and ecosystem function, yet the role of these radial plants in mycorrhizal interactions and subsequent plant performance remains underexplored. Here we investigated the influence of hyphal exploration and interaction with neighbouring mycorrhizal and non-mycorrhizal plants on the performance of Plantago lanceolata , a mycotrophic perennial herb common to many European grasslands, using mesh cores and the manipulation of neighbouring plant communities. Allowing growth of hyphae beyond the mesh core increased carbon capture above-ground and release below-ground as root exudates and resulted in the greater accumulation of elements relevant to plant health in P. lanceolata . However, contrary to expectations, the presence of mycorrhizal or non-mycorrhizal neighbours did not significantly alter the benefits of hyphal networks to P. lanceolata . Our findings demonstrate that enabling the development of a fungal network beyond the immediate host rhizosphere significantly influences plant leaf elemental stoichiometry, enhances plant carbon capture, and increases the amount of carbon they release via their roots as exudates. photosynthesis net ecosystem exchange common mycorrhizal network grassland carbon phosphorus magnesium zinc copper sulphur Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Introduction Arbuscular mycorrhizal (AM) fungi form symbiotic relationships with the vast majority of plant species where they play a crucial role in various plant processes including nutrient uptake (Read and Perez-Moreno 2003 ; Wipf et al. 2019 ) and stress tolerance (Bunn et al. 2009 ; Hohmann and Messmer 2017 ; Bitterlich et al. 2018 ). More broadly, these AM fungal-plant interactions can mediate nutrient cycling, thereby affecting ecosystem function (Yu et al. 2023 ). For example, mycorrhiza can affect both photosynthetic processes and the subsequent release of carbon into the soil as root exudates (Gavito et al. 2019 ; Muneer et al. 2020 ; Xu et al. 2023 ). This dual effect is likely to result in increased carbon capture by the plant and a corresponding increase in carbon release below-ground due to the carbon demands of the mycorrhizal symbiosis. However, how mycorrhizal fungi modify the interconnectedness of carbon uptake above-ground and its release below-ground as root exudates remains unclear. Elucidating how mycorrhiza may alter carbon cycling is important because the release of plant-derived carbon below-ground is a primary driver of microbial metabolism in soil (Fan et al. 2022 ). Soil microbes other than mycorrhiza are also responsible for essential functions, including plant growth promotion, nutrient cycling, and pathogen protection (Wen et al. 2021 ; Fan et al. 2022 ). Furthermore, soil carbon contributes to several important abiotic functions, such as maintaining soil structure and moisture, as well as preventing soil erosion (Zhang et al. 2024 ). Understanding the role of mycorrhiza in carbon cycling is also essential for developing accurate climate models, as below-ground carbon storage mediated by these fungi represents a significant, yet not fully quantified, carbon sink (Hawkins et al. 2023 ). Carbon cycling is a crucial aspect of mycorrhizal function, yet the influence of these fungi on the accumulation of other nutrients is equally significant. While the role of AM fungi in phosphorus and nitrogen uptake is well-documented (Smith and Read 2008 ), research suggests that they may also play a role in the cycling of other essential elements, such as sulphur and calcium (Allen and Shachar-Hill 2009 ; Fu et al. 2023 ). Furthermore, mycorrhiza can mediate the uptake and accumulation of heavy metals, which can have profound impacts on plant health and ecosystem functions (Rosas-Moreno et al. 2023 ). The differential uptake of these nutrients and elements, mediated by mycorrhizal associations, can alter plant tissue chemistry, affecting herbivory, decomposition rates, and ultimately, biogeochemical cycling (Hartley and Gange 2009 ). It is therefore likely that mycorrhiza will influence the accumulation of a broad range of minerals, yet quantitative assessment of the accumulation of a range of minerals simultaneously in plants subjected to mycorrhizal treatments is lacking in the current literature (Sardans et al. 2023 ). Therefore, to gain a holistic view of their ecological significance, a more comprehensive understanding and reporting of how mycorrhizal fungal networks influence the acquisition of a broader range of elements—beyond the common focus on phosphorus and nitrogen—is crucial. An emergent property of AM fungi-plant relationships is the development of hyphal networks. The structure and function of these networks is important in the transport of nutrients from areas that plant roots cannot access (Wipf et al. 2019 ). They can also provide a physical connection between individual plants of the same or different species, forming common mycorrhizal networks (CMNs) (Alaux et al. 2021 ). These networks can mediate competition between adult plants (Lin et al. 2015 ; Tedersoo et al. 2020 ; Bahadur et al. 2023 ), and have varying effects (positive, negative, or neutral) on establishing seedlings (Van Der Heijden and Horton 2009 ). Fungal hyphae can also interact with neighbouring plants without forming a direct physical connection. Therefore, common mycorrhizal networks that exhibit direct hyphal connections (CMN-HC) between roots represent a specific subset within the broader category of fungal networks (Rillig et al. 2024 ). Thus, it follows that the functioning of a host plant may be affected when its extra-radical hyphae can interact with neighbouring plants regardless of whether hyphal continuity occurs. Various studies have demonstrated that involvement in a CMN can alter plant uptake and allocation of nutrients. For instance, when connected via a CMN, flax ( Linum usitatissimum ) obtained substantial nutrients for minimal carbon, while sorghum ( Sorghum bicolor ) acquired few nutrients despite a large carbon investment (Walder et al. 2012 ). When these species were combined in a CMN flax gained biomass without the loss of biomass from sorghum thus demonstrating that a CMN can maximise resource efficiency within a plant community. Interspecies dynamics has shown to influence CMN nutrient dynamics in other species as well (Graves et al. 1997 ; Bougoure et al. 2014 ). While CMN-HCs have the potential to facilitate resource transfer between plants, the presence of other plants may also alter CMN dynamics through the creation of nutrient gradients, production of inhibitory and stimulatory chemicals (Barto et al. 2011 ), and competition for fungal resources (Wang et al. 2022 ). These effects could be substantial, and may also be caused by non-mycorrhizal plants, which can still compete for resources and alter the soil environment (Lambers and Teste 2013 ). Yet, it remains unclear how non-mycorrhizal plants relative to mycorrhizal plants influence neighbouring plants via interaction with CMNs. Nevertheless, it is likely that these effects could be substantial and mediated by whether neighbouring plants form mycorrhizas or not. Furthermore, when investigating the role of CMNs, it is important to consider the total volume of soil that mycorrhizal fungi can explore within a system (Karst et al., 2023 ). When AM fungi are limited to resources within a smaller soil volume, they have far less nutrients available to forage than in a larger soil volume. Therefore, differences in plant performance may be attributable to a ‘soil foraging volume effect’. This potential effect has been highlighted for field-based experiments on ectomycorrhizal fungi, but also applies to other mycorrhizal types including AM fungi (Karst et al. 2023 ). To address these knowledge gaps, we explored how the extension of extra-radical mycorrhizal hyphae, and their interaction with different neighbouring plants, influence plant physiology and nutrient uptake. To achieve this, we conducted a greenhouse experiment using Plantago lanceolata as a model plant. It is a mycotrophic perennial herb common to European grasslands that has been extensively used as a model for mycorrhizal interactions. P. lanceolata was grown inside mesh containers that allowed fungal hyphae, but not roots, to grow outward. The cores were placed inside larger pots (mesocosms) that contained one of three treatments: 1) P. lanceolata plants (mycorrhizal); 2) Rumex acetosa plants (a non-mycorrhizal species); or 3) fallow (no plants). This design allowed us to manipulate the connections via extra-radical mycorrhizal mycelium to the outside of the core by rotating half of the cores once per week. We then assessed how these treatments (outer compartment species and connection by extra-radical mycelium) influenced a range of plant attributes including biomass, chlorophyll fluorescence, gross ecosystem exchange of carbon and primary production, and leaf elemental composition. We hypothesised that plants connected to an outer soil compartment via extra-radical mycorrhizal mycelium would exhibit increased carbon exchange compared to unconnected plants. In addition, we expected connection to an outer soil compartment via extra-radical mycorrhizal mycelium to alter the pattern of accumulation of a broad range of elements in the connected plant compared to unconnected plants. Together with increased carbon assimilation, we expected this alleviation of nutrient limitation to result in increased plant biomass. Finally, we hypothesised that focal plants neighbouring other mycorrhizal plants (potentially forming CMN-HC) would demonstrate enhanced nutrient uptake compared to focal plants neighbouring non-mycorrhizal plants or surrounded by bare soil because of the increased resource use efficiency afforded by CMNs. Methods Mesocosms and greenhouse conditions Soil for the greenhouse experiment was collected from the top 20 cm from land adjacent to Formby Beach, Liverpool, UK (Latitude: 53.56113; Longitude: -3.08637). The area sampled is a semi-natural dune grassland dominated by Ammophila arenaria but which also included Plantago lanceolata . The sandy soil facilitated the sampling of root exudates with minimal damage, yet contained natural mycorrhizal inoculum, which was confirmed through a preliminary pilot trial. The soil was passed through a sieve (8 mm) and homogenised. Sieved soil was placed into 26 litre pots (43 cm x 34 cm x 18 cm). An empty cylindrical core, measuring 12 cm in height with 5 cm diameter with 4 cm x 8 cm windows cut in the side, was covered in nylon mesh with a 40 µm aperture and placed into the centre of each pot. The 40 µm mesh allows penetration by AM fungal hyphae but prevents penetration by roots and rotation of the mesh disrupts fungal hyphae (Johnson et al. 2001 ). Plantago lanceolata seeds (Emorsgate seeds, King’s Lynn, UK) were placed 2.5 cm apart in between two sheets of heavy weight seed germination paper then rolled up and placed vertically in deionised water and incubated in the dark at room temperature for 5 days. Following germination, seedlings were placed into the outer compartment of the pots approximately 5 cm apart for an initial soil conditioning stage to provide the sole source of mycorrhizal inoculum for plants growing in the central mesh core; this resulted in 24 plants outside of the core. Plants were grown for six weeks and then removed. Three planting treatments were then applied to the outer (‘radial’) compartment of the conditioned soils ( Plantago lanceolata [mycorrhizal], Rumex acetosa [non-mycorrhizal], and fallow, i.e., no plants) (Fig. 1 ). Radial plants were placed into pots at the same rate as the conditioning stage. The central core was then filled with 230 g of autoclaved soil and three Plantago lanceolata seedlings were planted into the core (referred to hereafter as the core plant). Autoclaved soil was added to the centre to ensure mycorrhizal colonisation of the central plants occurred by growth of extra-radical mycelium from outside of the core, likely from a CMN, but potentially from independent spores. Throughout the experiment cores were rotated approximately 45° once per week in half of all pots to sever mycorrhizal hyphal connections (Johnson et al. 2001 ). Pots were arranged in a randomised block design to account for any differences attributable to environmental variation in the greenhouse. Plants grew for two weeks and were then thinned to the single strongest plant. Growing conditions were maintained at 14–25°C and sixteen hours of light, with supplementary lighting to replicate summer conditions in the UK for all growing periods. To prevent soil moisture loss and to protect the seedlings from soil pests, a 2 cm depth of perlite was spread across the soil surface. Soil moisture was maintained every three days at 60% water holding capacity (WHC). WHC was measured using a soil moisture probe (Theta probe ML3 attached to a HH2 Moisture Meter, Delta-T Devices, Cambridge, UK). Each pot was an independent replicate, and eight pots were allocated per treatment for a total of 48 replicates across all treatments (Fig. 1 ). Net Ecosystem Carbon exchange After seven weeks of growth, measurements of gross CO 2 exchange were made from the core plant over 135 second intervals with a PP systems EGM5 portable IRGA coupled to a cylindrical chamber, 7 cm diameter and 19 cm height (Ward et al. 2007 , 2013 ). One chamber was transparent to permit light infiltration and fitted with lights to ensure even light between all replicates, and the other chamber was opaque. These contrasting chamber configurations enabled the measurement of gross CO 2 flux through subtracting ecosystem respiration (dark conditions) from net CO 2 flux (light conditions). Sampling procedure Following CO 2 exchange measurements, the core plants were checked for signs of stress using a FluorPen FP100. The FluorPen quantifies chlorophyll A by measuring the intensity of red fluorescence (685 nm) emitted after blue light excitation (470 nm), with lower fluorescence indicating reduced chlorophyll concentration, plant stress, and potentially decreased photosynthetic rates (Padhi et al. 2021 ). Three FluorPen measurements were taken on the second emerged leaf of the plant that had previously been darkened by being wrapped in aluminium foil for at least one hour. Plants were then carefully removed from the core and roots were washed under tap water. Biomass was separated into above and belowground parts. The roots were dabbed dry with paper towel and weighed wet; a proportion were then weighed and separated for an assessment of AM fungal root colonisation and stored in 70% ethanol at 4°C. The remaining biomass was then dried at 65°C for 24 hours and weighed. The amount of dried biomass removed for AM fungal root colonisation was calculated through the loss of water weight from the remaining roots. The roots of ten Rumex plants were randomly sampled and checked for AM fungal colonisation. Root exudate sampling and analysis Six replicates from every treatment were subjected to root exudate sampling. Root exudates were collected according to the method of Williams et al. ( 2021 ). Briefly, plants were removed from pots and loosely adhered soil was removed. Roots were separated from the remaining soil by submerging the plants 3–5 times in a beaker of deionised water until the water appeared clear. Plants were then allowed to recover for three days in 150 mL of soil hydroponics solution aerated using an aeration stone and air pump. Plants were maintained under the same greenhouse conditions as the previous stage of the experiment. The soil hydroponic solution was created by combining 200 g of soil from the same source that had been used for the pot experiment with 1 L of water. This mixture was placed on an orbital shaker for 1 h at 90 rpm and then centrifuged at 3,200 RCF for 5 mins and the supernatant kept. After three days of recovery, plants were washed again in deionised water and placed into 150 mL of aerated fresh Milli-Q water on ice under the same greenhouse conditions. After two hours of collection, plants were removed, and the remaining solution was passed through a 0.22 µm filter. After root exudates had been collected, the plants were sampled in the same manner as other plants. A preliminary trial was conducted to check the impact of root exudate collection on histological observations of root structures and no significant difference was found. Root exudates were analysed for total C on a Shimadzu TOC-L CPN E200 TOC analyser (CITY Japan). Quantification of AM fungal root colonisation and hyphal length The prevalence of AM fungal structures within root segments was evaluated using a magnified gridline intersections method (McGonigle et al. 1990 ; Vierheilig et al. 1998 ). Following ethanol removal, root segments were immersed in 10 mL of 10% KOH at room temperature for 1 hour 10 minutes to facilitate clearing. Subsequently, the cleared samples were rinsed with deionised water, subjected to acidification by submersion in 1% HCl for 30 seconds, and then transferred to test tubes containing 10 mL of 1% Parker's Quink Blue ink solution in 1% HCl at room temperature for 1 hour. Excess stain was removed by thorough washing with water. Finally, the stained root segments were transferred to 15 mL falcon tubes containing a de-staining solution composed of glycerol, water, and lactic acid in a 1:1:1 ratio. Following incubation in the de-staining solution for at least 24 hours, 5 root segments of 4 cm in length were mounted onto microscope slides using lactoglycerol (1:1:1 lactic acid, glycerol, and water) as a mounting medium. For each slide, 50 root-graticule intersections were examined to determine the proportion containing visible fungal hyphae, arbuscules, and vesicles. A membrane filter technique was used to measure hyphal length (Hanssen et al. 1974 ). Briefly, a 2 g sample of soil from the central core was mixed with 500 mL dH 2 O for 2 minutes at high speed with a magnetic stirrer. A 200 mL sub-sample was then decanted from the top, span again, and then counter-stirred to allow large particles to sink. A 30 mL sub-sample was then filtered through 25 mm diameter, 1.2 µm pore size, white polycarbonate filters (Cytiva, MA, USA) placed on top of a Buchner funnel held under vacuum. The filter was then incubated with a 5% Parker's Quink Blue ink and 5% acetic acid solution for 5 mins and then rinsed three times with 5 mL dH 2 O. Filters were mounted on slides with a 50% glycerol solution. Using a LEICA DM2500 microscope at 100x magnification, gridded sections were counted on a filter until the variation in the mean number of hyphal intersections varied by < 1% three times in a row. Hyphal length (H) was calculated as H = (IπA)/(2L), where I = average intersections per grid, A = grid area, and L = total grid line length. Finally, total fungal hyphae length (F) in mm mg − 1 of soil was determined using F = H × (A/B)*(1/S), where A = filter area, B = grid area, and S = soil amount filtered. Leaf elemental composition To assess leaf elemental composition, 50 mg of dried leaf biomass was weighed into glass acid-washed test tubes. For each digestion a set of 38 tubes, 2 tubes of blanks and 2 tubes of hay powder as a certified reference material (Commission of the European Communities, Community Bureau of Reference, reference material 129), to assess recovery rates, were also prepared. To each tube, 0.42 mL of concentrated nitric acid (70%) was added and left overnight to release nitrogen dioxide. Subsequently, 0.42 mL of hydrogen peroxide (30%) was added, and the tubes were placed in a heat block at 100°C for 1 hour, then 120°C for a further hour, and finally 140°C for 2 hours. Samples were then diluted to 2% of HNO 3 using MiliQ water and syringe filtered using a 0.22 µm filter. These solutions were run on an ICP-OES (Agilent 5800) using a 1.2 kW Argon RF plasma at 12 L min − 1 and auxiliary gas running at 1 L min − 1 . Sample concentrations were analysed and reported as the average of three by five-second integrations. Sample uptake into the ICP-OES was done at 0.7 L min − 1 using a Mira-Mist nebuliser. Statistical analyses Univariate variables were assessed using mixed-effects linear models with experimental block as a fixed effect; this analysis was implemented through the R package lme4 (Bates et al. 2015 ). Post-hoc analysis was conducted using the R package emmeans through analysis of estimated marginal means with Benjamin-Hochberg corrections (Lenth 2023 ). The vegan R package was used to assess multivariate significant differences between leaf elemental composition by testing Euclidean distance between samples using PERMANOVA (Oksanen et al. 2022 ). Results Chlorophyll fluorescence and biomass Plants across all treatments exhibited chlorophyll fluorescence values indicative of healthy plants (~ 0.8, Fig S1, Zhori et al. 2015). The rotation of the core influenced above-ground biomass, but did not influence root biomass of the core plants. Rotated plants had 15.4% less above-ground biomass than those with static cores. Plants without any radial plants (fallow) also had more above-ground biomass than plants surrounded by either R. acetosa or P. lanceolata (on average, 25.1% and 22.0%, respectively; Fig. 2). However, radial plants had no influence on root biomass. There was no observed interaction between core rotation and radial plant community. Table 2 The effect of radial plant community (radial) and core rotation (rotation) on the biomass of Plantago lanceolata . Leaf elemental composition The elemental composition of leaves was influenced by the rotation of the in-growth core; however, radial plants had no influence on plant leaf elemental composition and no interaction was observed between the treatments (Table 3, Fig S2). Leaf concentrations of phosphorus, a key element foraged by mycorrhiza, were 51% higher on average in plants grown in static cores (Fig 3). Radial plants did not influence leaf phosphorus concentration (Fig 3). In addition, magnesium, sulphur, copper, and zinc were all elevated in plants grown in static cores (Table 4). Table 3 PERMANOVA results showing the effect of soil volume (size), radial plant community (radial), and core rotation (rotation) on the multivariate elemental composition of the leaves of Plantago lanceolata . Table 4 The effect of radial plant community (radial) and core rotation (rotation) on the mean elemental composition of the leaves of Plantago lanceolata . Significantly highest mean values are coloured green, and the lowest values red. ± indicates the standard error of the mean. Impacts on above- and below-ground carbon flux Plants grown in static cores had a significantly lower (18.2% less on average) gross ecosystem exchange (GEE) compared to those in rotated cores (Table 5, Fig. 4), indicating greater fixation of carbon by plants in static cores. Radial plant community did not influence GEE. In addition, rotation of the mesh core surrounding the plant significantly reduced the total amount of carbon exudated by plant roots by 24.2% on average (Table 5, Fig. 4). No significant impact of radial plants on the total amount of carbon exudated by plant roots was detected. There was a significant correlation between GEE and the total amount of carbon in root exudates with biomass (Fig. 4). When both effects were scaled by above-ground biomass, they were no longer significant (Table S1, Fig. S3). There was no significant impact on soil respiration (Fig S4). Table 5 The effect of radial plant community (radial) and core rotation (rotation) on the total amount of carbon exudated and gross ecosystem exchange (GEE) of Plantago lanceolata . AM fungal colonisation No evidence of mycorrhizal colonisation was observed in any radial Rumex roots sampled, confirming their status as non-mycorrhizal plants. Although all P. lanceolata roots from the mesh cores were colonised by mycorrhiza, fungal hyphae and vesicles were significantly more abundant in the roots that were in static as opposed to rotated cores. Radial plants did not influence the presence of hyphae or vesicles in the roots (Table 6 and Fig. 5). No treatment influenced the presence of arbuscules (Table 6). Hyphal length in soil from inside the core was significantly greater in static compared to rotated cores (Table 6 and Fig. 5). Radial plants did not influence hyphal length. Table 6 The effect of soil volume (size), radial plant community (radial), and core rotation (rotation) on root associated AM fungal structures in Plantago lanceolata . Asterisks indicate significant differences. Discussion This study investigated how the extension of extra-radical mycorrhizal hyphae, and their interaction with different neighbouring plants, influence the physiology and nutrient uptake of Plantago lanceolata . Enabling growth of hyphae into the radial compartment increased plant carbon capture above-ground and release below-ground as root exudates, and resulted in the greater accumulation of elements key to plant health, especially phosphorus, copper, sulphur, and zinc; although 13 other elements remained unaffected by the treatments. However, contrary to expectations, the presence of mycorrhizal or non-mycorrhizal neighbours did not significantly alter the benefits Plantago lanceolata derived from having greater exploratory extra-radical mycorrhizal hyphae. This finding highlights the importance of hyphal exploration of soil regardless of the presence of a simple radial plant community. Biomass and Carbon Dynamics Plants that had hyphae that could penetrate the radial compartment had greater above-ground biomass than those that could not (Fig. 2 ). This was in line with our expectation that mycorrhiza would alleviate nutrient limitation resulting in greater plant biomass. Other studies have found that association with AM fungi can promote (Zhang et al. 2015 ), have no impact (Karasawa et al. 2012 ), or decrease biomass of P. lanceolata (Qu et al. 2021 ). These differing results may arise from differences among studies in soil conditions, especially nutrient availability, and AM fungal genotypes. Here, we prioritised sourcing AM fungi from an environment where P. lanceolata grew wild, as the AM fungal community would likely be adapted to promoting P. lanceolata . Although AM fungal association has been reported to promote below-ground biomass (Zhang et al. 2015 ), no significant impacts were detected in our study, although there was a promotion of above-ground biomass. This may have been due to the mesh cores restricting growth, although no evidence of roots being pot bound was apparent at sampling. The promotion of above-ground biomass may be due to the additional carbon sink from the connected mycorrhizal hyphae, that in turns stimulates leaf growth to supply additional carbon (Kaschuk et al. 2009 ). This theory is in-line with our hypothesis that mycorrhiza would stimulate carbon absorption and release below-ground as root exudates and was confirmed by our experimental results (Fig. 4 ). Other literature also supports that disconnection from mycorrhizal hyphae reduces plant photosynthetic rate (Gavito et al. 2019 ). These findings has implications for the role that AM fungi play in terrestrial carbon cycling (Hawkins et al. 2023 ). Our findings confirmed our hypothesis that AM fungi induce an increase in photosynthetic rate and this is linked to increased carbon in root exudation. This finding therefore connects above-ground and below-ground effects of mycorrhizal symbiosis that have been reported separately (Xu et al. 2023 ). We observed a strong positive correlation between leaf biomass and both above-ground carbon capture and below-ground carbon release as root exudation (Fig. 4 ). This suggests that the effect is mediated by an increase in photosynthetic tissue as opposed to some metabolic shift. Nevertheless, the observed enhancements in photosynthesis and below-ground carbon allocation may be constrained in environments where mycorrhizal networks cannot provide sufficient resources to support increased biomass. This limitation of growth could occur in nutrient-poor soils, such as used here, or when other environmental factors, such as temperature, restrict plant growth. Nutrient uptake Plants grown in static cores had, on average, a 51% higher concentration of phosphorus in their leaves, likely due to the connection to mycorrhizal hyphae outside of the core (Fig. 3 ), and supports the well-established role that mycorrhiza play in plants obtaining this nutrient (Smith and Read 2008 ; Jiang et al. 2021 ; Tibbett et al. 2022 ). In addition, magnesium, sulphur, copper, and zinc were all elevated (Table 4 ), which are key to plant health. For example, magnesium is the central atom in the chlorophyll molecule (Shaul 2002 ); sulphur is a key constituent in some amino acids (Hawkesford and De Kok 2006 ); copper serves as a cofactor for electron-transfer proteins (Burkhead et al. 2009 ); and zinc is a co-factor in thousands of proteins, including those involved in CO 2 fixation (Broadley et al. 2007 ). Therefore, this study adds to evidence that mycorrhiza help plants to accumulate a range of elements that are essential to their survival (Allen and Shachar-Hill 2009 ; Lehmann and Rillig 2015 ; Zare-Maivan et al. 2017 ; Rosas-Moreno et al. 2021 ). The accumulation of these elements in plants due to mycorrhizal interactions could have important implications for plant-herbivory interactions (Balluffi-Fry et al. 2022 ), and the nutritional status of crops (Lehmann and Rillig 2015 ). Mycorrhizal colonisation The presence of vesicles and hyphae in roots, as well as the average hyphal length inside the in-growth core was reduced in rotated cores (Fig. 5 ). This indicates that the rotation treatment disrupted connections between the focal plant and mycorrhiza outside of the core. Vesicles and hyphal density are often-used as proxies of performance of mycorrhizal fungi but do not always correlate with performance benefits for the plant (Gange and Ayres 1999 ), although in our experiment plant performance was better in the static treatments. Arbuscule formation was not different between treatments, although these structures are transient (2–8 days) and the sampling represents a single time point sampling (Luginbuehl and Oldroyd 2017 ). Therefore, differences in arbuscules present in the root may have been more apparent at different stages of the symbiosis. Lack of Radial Plant Effect We found no significant effect of the presence or identity of radial plants on the biomass of focal P. lanceolata . This effect included mycorrhizal plants of the same species (i.e. P. lanceolata ) and non-mycorrhizal plants of a different species ( Rumex aceotosa ). This finding counters our initial hypothesis that the presence of a radial community of mycorrhizal plants would enhance efficient resource use via a CMN and therefore improve plant performance. Instead, our findings suggest that soil foraging effects are important whereby plant biomass increases when its mycorrhizal network is given access to a greater volume of soil (e.g., the soil outside the in-growth core (Karst et al. 2023 ). Like many manipulations of CMNs, our study is limited in that we could not establish the extent that a continuous function CMN had formed, which typically requires use of isotopes (Lekberg et al. 2024 ). However, our study demonstrates the importance of additional controls (areas with no plants and non-mycorrhizal plants, which likely modify edaphic conditions in a similar way to mycorrhizal plants, but which cannot form CMN-HCs) that help prevent attributing observed effects to a CMN. This methodological approach is important as isotopes or other similar methods can be restrictive due to cost, access to material, and restrictions on radio-isotope use (e.g., in field experiments). It is possible that the duration of plant growth in this study (seven weeks) was insufficient to establish a CMN-HC. Although an initial condition phase was included, the removal and replacement of plants may have disrupted an established CMN. Furthermore, other studies have suggested that CMN effects may be most evident when there are imbalances within the network, such as differences in carbon costs to a plant for mycorrhiza-obtained nutrients (Walder et al. 2012 ), or plant access to water (Egerton-Warburton et al. 2007 ). Our study had similar genotypes growing in a relatively homogeneous environment. As such, biological market theory would suggest that with no variation in supply or demand (even soil resources), and no partner choice driving competition (similar genotype), a single, uniform "exchange rate" (the price of nutrients for photosynthate) would emerge across the entire population, thus with little trading advantage to be gained (Bunn et al. 2024 ). Future studies may consider designs with likely imbalances in the CMN partners. Our findings also counters the hypothesis that non-mycorrhizal plants may induce CMN-like effects (Wang et al. 2022 ) as well as our hypothesis that radial mycorrhizal plants would modulate mycorrhizal effects. This is evident as we did not observe an impact of radial R. aceotosa on plant performance in the static cores relative to those with no radial plants or those with P. lanceolata as radial plants. However, the inclusion of non-mycorrhizal plants in a greater range of environmental conditions and plant communities is required to fully establish their role in CMN function. Beyond nutrient transfer, other CMN effects, such as herbivory signalling, may have been present, but were not tested in this study (Babikova et al. 2013 ). Conclusion This study demonstrates that enabling the development of a fungal network beyond the immediate host rhizosphere significantly enhances carbon capture by plants and increases the amount of carbon they release at their roots as exudates, and that this effect is strongly correlated with increases in leaf biomass. Furthermore, our results indicate that mycorrhiza facilitate plant accumulation of a range of elements in addition to phosphorus, especially micronutrients zinc, copper, and sulphur. Critically, this study also underscores the importance of including non-mycorrhizal and no-plant controls to accurately attribute plant performance to CMN effects, rather than mycorrhizal soil foraging effects. Declarations Author Contribution H. B.: Conceptualisation (support); Methodology (co-lead); Visualisation (lead); Investigation (equal); Writing – original draft (lead); Investigation (lead); Writing – review and editing (support). L.A.: Investigation (equal); Methodology (support); Writing – review and editing (support).S.M.: Investigation (equal); Methodology (support); Writing – review and editing (support).C.R.: Funding Acquisition (support); Project administration (support); Supervision (support); Writing – review and editing (support).R.B.:Funding Acquisition (support); Methodology (support); Project administration (support); Supervision (support); Writing – review and editing (support).D.J.: Conceptualisation (lead); Funding Acquisition (lead); Methodology (co-lead); Investigation (support); Project administration (lead); Supervision (lead); Writing – original draft (support); Writing – review and editing (lead). References Alaux P, Zhang Y, Gilbert L, Johnson D (2021) Can common mycorrhizal fungal networks be managed to enhance ecosystem functionality? Plants People Planet 3:433–444. https://doi.org/10.1002/ppp3.10178 Allen JW, Shachar-Hill Y (2009) Sulfur Transfer through an Arbuscular Mycorrhiza. 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BMC Res Notes 8:698. https://doi.org/10.1186/s13104-015-1681-z Additional Declarations No competing interests reported. Supplementary Files Birtetal2025MycorrhizaandPlantagoPhysiologysupplementary.docx Cite Share Download PDF Status: Published Journal Publication published 02 Aug, 2025 Read the published version in Mycorrhiza → Version 1 posted Editorial decision: Revision requested 12 Jun, 2025 Reviews received at journal 21 May, 2025 Reviews received at journal 15 May, 2025 Reviewers agreed at journal 05 May, 2025 Reviewers agreed at journal 30 Apr, 2025 Reviewers agreed at journal 27 Apr, 2025 Reviewers invited by journal 24 Apr, 2025 Editor assigned by journal 24 Apr, 2025 Submission checks completed at journal 24 Apr, 2025 First submitted to journal 16 Apr, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6465715","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":443993511,"identity":"f1774409-1ebf-49bb-bf7d-ec9bbed88f1e","order_by":0,"name":"Henry W. 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Bardgett","email":"","orcid":"","institution":"Lancaster University","correspondingAuthor":false,"prefix":"","firstName":"Richard","middleName":"D.","lastName":"Bardgett","suffix":""},{"id":443993516,"identity":"0dcdf96b-3f0f-4c9f-b637-aa98d642e360","order_by":5,"name":"David Johnson","email":"","orcid":"","institution":"Lancaster University","correspondingAuthor":false,"prefix":"","firstName":"David","middleName":"","lastName":"Johnson","suffix":""}],"badges":[],"createdAt":"2025-04-16 17:53:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6465715/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6465715/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00572-025-01221-8","type":"published","date":"2025-08-02T16:38:05+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":81029704,"identity":"93ed3901-8551-43d0-bdc3-56d76e28f121","added_by":"auto","created_at":"2025-04-21 11:10:51","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":163058,"visible":true,"origin":"","legend":"\u003cp\u003eA schematic of the experimental design in this study\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-6465715/v1/91c7f76747d46b3fadd9ce67.png"},{"id":81028503,"identity":"ce97c4af-9b50-4529-8243-344032341902","added_by":"auto","created_at":"2025-04-21 11:02:51","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":43036,"visible":true,"origin":"","legend":"\u003cp\u003eThe impact of the experimental treatments on plant biomass. A)\u003cstrong\u003e \u003c/strong\u003eThe radial plant community and B) the rotation of an in-growth core on dry leaf biomass as well as C) their interaction on the dry root biomass of \u003cem\u003ePlantago lanceolata\u003c/em\u003e. Boxplots show the range, median, and interquartile range of each treatment. Dots overlaid show individual data points. Significance between treatments is shown: *** \u0026lt; 0.001, ** \u0026lt; 0.01, and * \u0026lt; 0.05.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6465715/v1/ddb7e4d0c4d2f5424d97df78.png"},{"id":81027900,"identity":"edd70481-cfb2-408a-80cb-1d3b1c003aa3","added_by":"auto","created_at":"2025-04-21 10:54:51","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":25689,"visible":true,"origin":"","legend":"\u003cp\u003eThe impact of the experimental treatments on phosphorus accumulation. The effect of A) the rotation of an in-growth core and B) the radial plant community on phosphorus leaf content in \u003cem\u003ePlantago lanceolata\u003c/em\u003e. Boxplots show the range, median, and interquartile range of each treatment. Dots overlaid show individual data points. Significance between main effect of rotation treatment is shown: *** \u0026lt; 0.001, ** \u0026lt; 0.01, and * \u0026lt; 0.05.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-6465715/v1/1c9d65ac3388d6a0f7f4ddbf.png"},{"id":81027901,"identity":"45a5700f-5d73-4b90-a219-14d6aa3c93b7","added_by":"auto","created_at":"2025-04-21 10:54:51","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":80234,"visible":true,"origin":"","legend":"\u003cp\u003eThe impact of the experimental treatments on carbon exchange.\u003cstrong\u003e \u003c/strong\u003eThe effect of the rotation of an in-growth core on A) gross ecosystem exchange and B) total carbon in root exudates of \u003cem\u003ePlantago lanceolata.\u003c/em\u003e C) The relationship between gross ecosystem exchange and D) total dissolved carbon in root exudates with leaf biomass. Boxplots show the range, median, and interquartile range of each treatment. Dots overlaid show individual data points. Significance between treatments is shown: *** \u0026lt; 0.001, ** \u0026lt; 0.01, and * \u0026lt; 0.05.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-6465715/v1/c7eb8f78197489f8d08c55c6.png"},{"id":81027904,"identity":"a616550a-0d36-4d44-9000-4f35c93f23f3","added_by":"auto","created_at":"2025-04-21 10:54:51","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":39746,"visible":true,"origin":"","legend":"\u003cp\u003eThe impact of the experimental treatment on fungal colonisation.\u003cstrong\u003e \u003c/strong\u003eThe effect of the rotation of the in-growth core on the presence of A) vesicles and B) hyphae in the roots of \u003cem\u003ePlantago lanceolata\u003c/em\u003e as well as C) the impact of core rotation on the average hyphal length found in the soil within the core. Boxplots show the range, median, and interquartile range of each treatment. Dots overlaid show individual data points. Significance between treatments is shown: *** \u0026lt; 0.001, ** \u0026lt; 0.01, and * \u0026lt; 0.05.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-6465715/v1/eb3078d45ad0db66f5bed15f.png"},{"id":88268308,"identity":"5faaec91-c89b-45d3-a65f-e7642c8f9289","added_by":"auto","created_at":"2025-08-04 16:50:53","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1231914,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6465715/v1/c1a948f3-0606-43b3-b725-d1074af6575a.pdf"},{"id":81028504,"identity":"7d4051a7-a844-482a-9622-97a47954e248","added_by":"auto","created_at":"2025-04-21 11:02:52","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":366031,"visible":true,"origin":"","legend":"","description":"","filename":"Birtetal2025MycorrhizaandPlantagoPhysiologysupplementary.docx","url":"https://assets-eu.researchsquare.com/files/rs-6465715/v1/afb8df202d1645245f646c1e.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"The Influence of Mycorrhizal Hyphal Connections and Neighbouring Plants on Plantago lanceolata Physiology and Nutrient Uptake","fulltext":[{"header":"Introduction","content":"\u003cp\u003eArbuscular mycorrhizal (AM) fungi form symbiotic relationships with the vast majority of plant species where they play a crucial role in various plant processes including nutrient uptake (Read and Perez-Moreno \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Wipf et al. \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2019\u003c/span\u003e) and stress tolerance (Bunn et al. \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Hohmann and Messmer \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Bitterlich et al. \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2018\u003c/span\u003e). More broadly, these AM fungal-plant interactions can mediate nutrient cycling, thereby affecting ecosystem function (Yu et al. \u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). For example, mycorrhiza can affect both photosynthetic processes and the subsequent release of carbon into the soil as root exudates (Gavito et al. \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Muneer et al. \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Xu et al. \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). This dual effect is likely to result in increased carbon capture by the plant and a corresponding increase in carbon release below-ground due to the carbon demands of the mycorrhizal symbiosis. However, how mycorrhizal fungi modify the interconnectedness of carbon uptake above-ground and its release below-ground as root exudates remains unclear. Elucidating how mycorrhiza may alter carbon cycling is important because the release of plant-derived carbon below-ground is a primary driver of microbial metabolism in soil (Fan et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Soil microbes other than mycorrhiza are also responsible for essential functions, including plant growth promotion, nutrient cycling, and pathogen protection (Wen et al. \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Fan et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Furthermore, soil carbon contributes to several important abiotic functions, such as maintaining soil structure and moisture, as well as preventing soil erosion (Zhang et al. \u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Understanding the role of mycorrhiza in carbon cycling is also essential for developing accurate climate models, as below-ground carbon storage mediated by these fungi represents a significant, yet not fully quantified, carbon sink (Hawkins et al. \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eCarbon cycling is a crucial aspect of mycorrhizal function, yet the influence of these fungi on the accumulation of other nutrients is equally significant. While the role of AM fungi in phosphorus and nitrogen uptake is well-documented (Smith and Read \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2008\u003c/span\u003e), research suggests that they may also play a role in the cycling of other essential elements, such as sulphur and calcium (Allen and Shachar-Hill \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Fu et al. \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Furthermore, mycorrhiza can mediate the uptake and accumulation of heavy metals, which can have profound impacts on plant health and ecosystem functions (Rosas-Moreno et al. \u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). The differential uptake of these nutrients and elements, mediated by mycorrhizal associations, can alter plant tissue chemistry, affecting herbivory, decomposition rates, and ultimately, biogeochemical cycling (Hartley and Gange \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). It is therefore likely that mycorrhiza will influence the accumulation of a broad range of minerals, yet quantitative assessment of the accumulation of a range of minerals simultaneously in plants subjected to mycorrhizal treatments is lacking in the current literature (Sardans et al. \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Therefore, to gain a holistic view of their ecological significance, a more comprehensive understanding and reporting of how mycorrhizal fungal networks influence the acquisition of a broader range of elements\u0026mdash;beyond the common focus on phosphorus and nitrogen\u0026mdash;is crucial.\u003c/p\u003e \u003cp\u003eAn emergent property of AM fungi-plant relationships is the development of hyphal networks. The structure and function of these networks is important in the transport of nutrients from areas that plant roots cannot access (Wipf et al. \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). They can also provide a physical connection between individual plants of the same or different species, forming common mycorrhizal networks (CMNs) (Alaux et al. \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). These networks can mediate competition between adult plants (Lin et al. \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Tedersoo et al. \u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Bahadur et al. \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2023\u003c/span\u003e), and have varying effects (positive, negative, or neutral) on establishing seedlings (Van Der Heijden and Horton \u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). Fungal hyphae can also interact with neighbouring plants without forming a direct physical connection. Therefore, common mycorrhizal networks that exhibit direct hyphal connections (CMN-HC) between roots represent a specific subset within the broader category of fungal networks (Rillig et al. \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Thus, it follows that the functioning of a host plant may be affected when its extra-radical hyphae can interact with neighbouring plants regardless of whether hyphal continuity occurs.\u003c/p\u003e \u003cp\u003eVarious studies have demonstrated that involvement in a CMN can alter plant uptake and allocation of nutrients. For instance, when connected via a CMN, flax (\u003cem\u003eLinum usitatissimum\u003c/em\u003e) obtained substantial nutrients for minimal carbon, while sorghum (\u003cem\u003eSorghum bicolor\u003c/em\u003e) acquired few nutrients despite a large carbon investment (Walder et al. \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2012\u003c/span\u003e). When these species were combined in a CMN flax gained biomass without the loss of biomass from sorghum thus demonstrating that a CMN can maximise resource efficiency within a plant community. Interspecies dynamics has shown to influence CMN nutrient dynamics in other species as well (Graves et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e1997\u003c/span\u003e; Bougoure et al. \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2014\u003c/span\u003e). While CMN-HCs have the potential to facilitate resource transfer between plants, the presence of other plants may also alter CMN dynamics through the creation of nutrient gradients, production of inhibitory and stimulatory chemicals (Barto et al. \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2011\u003c/span\u003e), and competition for fungal resources (Wang et al. \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). These effects could be substantial, and may also be caused by non-mycorrhizal plants, which can still compete for resources and alter the soil environment (Lambers and Teste \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). Yet, it remains unclear how non-mycorrhizal plants relative to mycorrhizal plants influence neighbouring plants via interaction with CMNs. Nevertheless, it is likely that these effects could be substantial and mediated by whether neighbouring plants form mycorrhizas or not. Furthermore, when investigating the role of CMNs, it is important to consider the total volume of soil that mycorrhizal fungi can explore within a system (Karst et al., \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). When AM fungi are limited to resources within a smaller soil volume, they have far less nutrients available to forage than in a larger soil volume. Therefore, differences in plant performance may be attributable to a \u0026lsquo;soil foraging volume effect\u0026rsquo;. This potential effect has been highlighted for field-based experiments on ectomycorrhizal fungi, but also applies to other mycorrhizal types including AM fungi (Karst et al. \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eTo address these knowledge gaps, we explored how the extension of extra-radical mycorrhizal hyphae, and their interaction with different neighbouring plants, influence plant physiology and nutrient uptake. To achieve this, we conducted a greenhouse experiment using \u003cem\u003ePlantago lanceolata\u003c/em\u003e as a model plant. It is a mycotrophic perennial herb common to European grasslands that has been extensively used as a model for mycorrhizal interactions. \u003cem\u003eP. lanceolata\u003c/em\u003e was grown inside mesh containers that allowed fungal hyphae, but not roots, to grow outward. The cores were placed inside larger pots (mesocosms) that contained one of three treatments: 1) \u003cem\u003eP. lanceolata\u003c/em\u003e plants (mycorrhizal); 2) \u003cem\u003eRumex acetosa\u003c/em\u003e plants (a non-mycorrhizal species); or 3) fallow (no plants). This design allowed us to manipulate the connections via extra-radical mycorrhizal mycelium to the outside of the core by rotating half of the cores once per week. We then assessed how these treatments (outer compartment species and connection by extra-radical mycelium) influenced a range of plant attributes including biomass, chlorophyll fluorescence, gross ecosystem exchange of carbon and primary production, and leaf elemental composition. We hypothesised that plants connected to an outer soil compartment via extra-radical mycorrhizal mycelium would exhibit increased carbon exchange compared to unconnected plants. In addition, we expected connection to an outer soil compartment via extra-radical mycorrhizal mycelium to alter the pattern of accumulation of a broad range of elements in the connected plant compared to unconnected plants. Together with increased carbon assimilation, we expected this alleviation of nutrient limitation to result in increased plant biomass. Finally, we hypothesised that focal plants neighbouring other mycorrhizal plants (potentially forming CMN-HC) would demonstrate enhanced nutrient uptake compared to focal plants neighbouring non-mycorrhizal plants or surrounded by bare soil because of the increased resource use efficiency afforded by CMNs.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eMesocosms and greenhouse conditions\u003c/h2\u003e \u003cp\u003eSoil for the greenhouse experiment was collected from the top 20 cm from land adjacent to Formby Beach, Liverpool, UK (Latitude: 53.56113; Longitude: -3.08637). The area sampled is a semi-natural dune grassland dominated by \u003cem\u003eAmmophila arenaria\u003c/em\u003e but which also included \u003cem\u003ePlantago lanceolata\u003c/em\u003e. The sandy soil facilitated the sampling of root exudates with minimal damage, yet contained natural mycorrhizal inoculum, which was confirmed through a preliminary pilot trial. The soil was passed through a sieve (8 mm) and homogenised.\u003c/p\u003e \u003cp\u003eSieved soil was placed into 26 litre pots (43 cm x 34 cm x 18 cm). An empty cylindrical core, measuring 12 cm in height with 5 cm diameter with 4 cm x 8 cm windows cut in the side, was covered in nylon mesh with a 40 \u0026micro;m aperture and placed into the centre of each pot. The 40 \u0026micro;m mesh allows penetration by AM fungal hyphae but prevents penetration by roots and rotation of the mesh disrupts fungal hyphae (Johnson et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2001\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cem\u003ePlantago lanceolata\u003c/em\u003e seeds (Emorsgate seeds, King\u0026rsquo;s Lynn, UK) were placed 2.5 cm apart in between two sheets of heavy weight seed germination paper then rolled up and placed vertically in deionised water and incubated in the dark at room temperature for 5 days. Following germination, seedlings were placed into the outer compartment of the pots approximately 5 cm apart for an initial soil conditioning stage to provide the sole source of mycorrhizal inoculum for plants growing in the central mesh core; this resulted in 24 plants outside of the core. Plants were grown for six weeks and then removed.\u003c/p\u003e \u003cp\u003eThree planting treatments were then applied to the outer (\u0026lsquo;radial\u0026rsquo;) compartment of the conditioned soils (\u003cem\u003ePlantago lanceolata\u003c/em\u003e [mycorrhizal], \u003cem\u003eRumex acetosa\u003c/em\u003e [non-mycorrhizal], and fallow, i.e., no plants) (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Radial plants were placed into pots at the same rate as the conditioning stage. The central core was then filled with 230 g of autoclaved soil and three \u003cem\u003ePlantago lanceolata\u003c/em\u003e seedlings were planted into the core (referred to hereafter as the core plant). Autoclaved soil was added to the centre to ensure mycorrhizal colonisation of the central plants occurred by growth of extra-radical mycelium from outside of the core, likely from a CMN, but potentially from independent spores. Throughout the experiment cores were rotated approximately 45\u0026deg; once per week in half of all pots to sever mycorrhizal hyphal connections (Johnson et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2001\u003c/span\u003e). Pots were arranged in a randomised block design to account for any differences attributable to environmental variation in the greenhouse.\u003c/p\u003e \u003cp\u003ePlants grew for two weeks and were then thinned to the single strongest plant. Growing conditions were maintained at 14\u0026ndash;25\u0026deg;C and sixteen hours of light, with supplementary lighting to replicate summer conditions in the UK for all growing periods. To prevent soil moisture loss and to protect the seedlings from soil pests, a 2 cm depth of perlite was spread across the soil surface. Soil moisture was maintained every three days at 60% water holding capacity (WHC). WHC was measured using a soil moisture probe (Theta probe ML3 attached to a HH2 Moisture Meter, Delta-T Devices, Cambridge, UK). Each pot was an independent replicate, and eight pots were allocated per treatment for a total of 48 replicates across all treatments (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eNet Ecosystem Carbon exchange\u003c/h3\u003e\n\u003cp\u003eAfter seven weeks of growth, measurements of gross CO\u003csub\u003e2\u003c/sub\u003e exchange were made from the core plant over 135 second intervals with a PP systems EGM5 portable IRGA coupled to a cylindrical chamber, 7 cm diameter and 19 cm height (Ward et al. \u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e2007\u003c/span\u003e, \u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). One chamber was transparent to permit light infiltration and fitted with lights to ensure even light between all replicates, and the other chamber was opaque. These contrasting chamber configurations enabled the measurement of gross CO\u003csub\u003e2\u003c/sub\u003e flux through subtracting ecosystem respiration (dark conditions) from net CO\u003csub\u003e2\u003c/sub\u003e flux (light conditions).\u003c/p\u003e\n\u003ch3\u003eSampling procedure\u003c/h3\u003e\n\u003cp\u003eFollowing CO\u003csub\u003e2\u003c/sub\u003e exchange measurements, the core plants were checked for signs of stress using a FluorPen FP100. The FluorPen quantifies chlorophyll A by measuring the intensity of red fluorescence (685 nm) emitted after blue light excitation (470 nm), with lower fluorescence indicating reduced chlorophyll concentration, plant stress, and potentially decreased photosynthetic rates (Padhi et al. \u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Three FluorPen measurements were taken on the second emerged leaf of the plant that had previously been darkened by being wrapped in aluminium foil for at least one hour. Plants were then carefully removed from the core and roots were washed under tap water. Biomass was separated into above and belowground parts. The roots were dabbed dry with paper towel and weighed wet; a proportion were then weighed and separated for an assessment of AM fungal root colonisation and stored in 70% ethanol at 4\u0026deg;C. The remaining biomass was then dried at 65\u0026deg;C for 24 hours and weighed. The amount of dried biomass removed for AM fungal root colonisation was calculated through the loss of water weight from the remaining roots. The roots of ten \u003cem\u003eRumex\u003c/em\u003e plants were randomly sampled and checked for AM fungal colonisation.\u003c/p\u003e\n\u003ch3\u003eRoot exudate sampling and analysis\u003c/h3\u003e\n\u003cp\u003eSix replicates from every treatment were subjected to root exudate sampling. Root exudates were collected according to the method of Williams et al. (\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). Briefly, plants were removed from pots and loosely adhered soil was removed. Roots were separated from the remaining soil by submerging the plants 3\u0026ndash;5 times in a beaker of deionised water until the water appeared clear. Plants were then allowed to recover for three days in 150 mL of soil hydroponics solution aerated using an aeration stone and air pump. Plants were maintained under the same greenhouse conditions as the previous stage of the experiment. The soil hydroponic solution was created by combining 200 g of soil from the same source that had been used for the pot experiment with 1 L of water. This mixture was placed on an orbital shaker for 1 h at 90 rpm and then centrifuged at 3,200 RCF for 5 mins and the supernatant kept. After three days of recovery, plants were washed again in deionised water and placed into 150 mL of aerated fresh Milli-Q water on ice under the same greenhouse conditions. After two hours of collection, plants were removed, and the remaining solution was passed through a 0.22 \u0026micro;m filter. After root exudates had been collected, the plants were sampled in the same manner as other plants. A preliminary trial was conducted to check the impact of root exudate collection on histological observations of root structures and no significant difference was found. Root exudates were analysed for total C on a Shimadzu TOC-L CPN E200 TOC analyser (CITY Japan).\u003c/p\u003e\n\u003ch3\u003eQuantification of AM fungal root colonisation and hyphal length\u003c/h3\u003e\n\u003cp\u003eThe prevalence of AM fungal structures within root segments was evaluated using a magnified gridline intersections method (McGonigle et al. \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e1990\u003c/span\u003e; Vierheilig et al. \u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e1998\u003c/span\u003e). Following ethanol removal, root segments were immersed in 10 mL of 10% KOH at room temperature for 1 hour 10 minutes to facilitate clearing. Subsequently, the cleared samples were rinsed with deionised water, subjected to acidification by submersion in 1% HCl for 30 seconds, and then transferred to test tubes containing 10 mL of 1% Parker's Quink Blue ink solution in 1% HCl at room temperature for 1 hour. Excess stain was removed by thorough washing with water. Finally, the stained root segments were transferred to 15 mL falcon tubes containing a de-staining solution composed of glycerol, water, and lactic acid in a 1:1:1 ratio. Following incubation in the de-staining solution for at least 24 hours, 5 root segments of 4 cm in length were mounted onto microscope slides using lactoglycerol (1:1:1 lactic acid, glycerol, and water) as a mounting medium. For each slide, 50 root-graticule intersections were examined to determine the proportion containing visible fungal hyphae, arbuscules, and vesicles.\u003c/p\u003e \u003cp\u003eA membrane filter technique was used to measure hyphal length (Hanssen et al. \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e1974\u003c/span\u003e). Briefly, a 2 g sample of soil from the central core was mixed with 500 mL dH\u003csub\u003e2\u003c/sub\u003eO for 2 minutes at high speed with a magnetic stirrer. A 200 mL sub-sample was then decanted from the top, span again, and then counter-stirred to allow large particles to sink. A 30 mL sub-sample was then filtered through 25 mm diameter, 1.2 \u0026micro;m pore size, white polycarbonate filters (Cytiva, MA, USA) placed on top of a Buchner funnel held under vacuum. The filter was then incubated with a 5% Parker's Quink Blue ink and 5% acetic acid solution for 5 mins and then rinsed three times with 5 mL dH\u003csub\u003e2\u003c/sub\u003eO. Filters were mounted on slides with a 50% glycerol solution. Using a LEICA DM2500 microscope at 100x magnification, gridded sections were counted on a filter until the variation in the mean number of hyphal intersections varied by \u0026lt;\u0026thinsp;1% three times in a row. Hyphal length (H) was calculated as H = (IπA)/(2L), where I\u0026thinsp;=\u0026thinsp;average intersections per grid, A\u0026thinsp;=\u0026thinsp;grid area, and L\u0026thinsp;=\u0026thinsp;total grid line length. Finally, total fungal hyphae length (F) in mm mg\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e of soil was determined using F\u0026thinsp;=\u0026thinsp;H \u0026times; (A/B)*(1/S), where A\u0026thinsp;=\u0026thinsp;filter area, B\u0026thinsp;=\u0026thinsp;grid area, and S\u0026thinsp;=\u0026thinsp;soil amount filtered.\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eLeaf elemental composition\u003c/h2\u003e \u003cp\u003eTo assess leaf elemental composition, 50 mg of dried leaf biomass was weighed into glass acid-washed test tubes. For each digestion a set of 38 tubes, 2 tubes of blanks and 2 tubes of hay powder as a certified reference material (Commission of the European Communities, Community Bureau of Reference, reference material 129), to assess recovery rates, were also prepared. To each tube, 0.42 mL of concentrated nitric acid (70%) was added and left overnight to release nitrogen dioxide. Subsequently, 0.42 mL of hydrogen peroxide (30%) was added, and the tubes were placed in a heat block at 100\u0026deg;C for 1 hour, then 120\u0026deg;C for a further hour, and finally 140\u0026deg;C for 2 hours. Samples were then diluted to 2% of HNO\u003csub\u003e3\u003c/sub\u003e using MiliQ water and syringe filtered using a 0.22 \u0026micro;m filter. These solutions were run on an ICP-OES (Agilent 5800) using a 1.2 kW Argon RF plasma at 12 L min\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e and auxiliary gas running at 1 L min\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e. Sample concentrations were analysed and reported as the average of three by five-second integrations. Sample uptake into the ICP-OES was done at 0.7 L min\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e using a Mira-Mist nebuliser.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eStatistical analyses\u003c/h3\u003e\n\u003cp\u003eUnivariate variables were assessed using mixed-effects linear models with experimental block as a fixed effect; this analysis was implemented through the R package \u003cem\u003elme4\u003c/em\u003e (Bates et al. \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). Post-hoc analysis was conducted using the R package \u003cem\u003eemmeans\u003c/em\u003e through analysis of estimated marginal means with Benjamin-Hochberg corrections (Lenth \u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). The \u003cem\u003evegan\u003c/em\u003e R package was used to assess multivariate significant differences between leaf elemental composition by testing Euclidean distance between samples using PERMANOVA (Oksanen et al. \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e"},{"header":"Results","content":"\u003ch3\u003eChlorophyll fluorescence and biomass\u003c/h3\u003e\n\u003cp\u003ePlants across all treatments exhibited chlorophyll fluorescence values indicative of healthy plants (~ 0.8, Fig S1, Zhori et al. 2015).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe rotation of the core influenced above-ground biomass, but did not influence root biomass of the core plants. Rotated plants had 15.4% less above-ground biomass than those with static cores. Plants without any radial plants (fallow) also had more above-ground biomass than plants surrounded by either \u003cem\u003eR. acetosa\u0026nbsp;\u003c/em\u003eor \u003cem\u003eP. lanceolata\u0026nbsp;\u003c/em\u003e(on average, 25.1% and 22.0%, respectively; Fig. 2). However, radial plants had no influence on root biomass. There was no observed interaction between core rotation and radial plant community.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u0026nbsp;\u003c/strong\u003eThe effect of radial plant community (radial) and core rotation (rotation) on the biomass of \u003cem\u003ePlantago lanceolata\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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lN694oDvk0OJ7ssDah2OaDaLR57Tq2ctlserzRWO+5IOWoc0EucGOmg+f0WHrQMaLq6vyKDEANgWnZ/Vbg7Bd3Eh6Y+8FTfpdusZzb0ct1v/gW+IL4bOT0oe1Tdx8ac+fUe+DnvIVpEO4xi2yKN3lHK55TskeHX2ns911LVgq0y73JL5v6tAHsVxurjcEnncLOMQKDEAtkb8uzgdxLiyPtyw6OfEUOINut26kCm015lut2rjM3oPLfaF0KCuyKP6Ji5a4OE6l+QZv7M8xocSG/SDcrk1jlxuHffYgtqey61R3OXWQ9/lVv2Pd0oeryOSUGIAbBHff2bM1RYrKLG4Mt143ZDbLdZhNB+0YvMa/iFut7xKfbcIrkvjh19YHn03W76m8C0u498ij/HZMEaG/eIut0bj6ykwwfnIv87ymONy60q73LoOUGIAbJUOydTYfPDCX+CheqIGPTlMqzC43QK3QYdkauziR5FHVkiureTx3yKPCR02peN/yLAfW/FHR3RiTSKXW6J8dKxdBEoMgC3T+Vnmn8Yk01rKF6XxhJZ02Lbdbon5JTT3aJ9bHNPO2b5f3G5tyx0LqASdn0Qe/yDZScZR8vhvJY8JxeQ6dMkidDT5TOfjMQ36XS2Pfni2Pdag5gPO5YLlMRFBf4MmYc1vaJ//MTnfYD4sLY+D1vWUJJQYANsmcH11NqTJh5yhRM123G6JiyN9Kr/NWmzcPch3u5XdIoH7SqPru716p+VR9l3LURvjs/cpl1u+dUZ/LejvHFXGOdPZy5TLLfk4XU5Dl1v/Srnceh+53AribgprQwDAtgldX+XtJh24oco5NnS7pT4/5TjcRC3H48OwFhIDfGkot1eys3TeTtKBG6psufFdbkmqZZdb8tF0Mu6Rd2RwHHPiKY9WWXH0YZx8urbLLVhiANwE4SasGUOJim273Yr1rDnOVa7bLYwlfpF0vlXyWDMeLw8lKhr0g3a5FV4zjnyXWz0OWxoy1HRO6RPLoyxQEowj3+WWjDKGcJzPCyvb5VZfFiDpsA2piSbTfwMAAACVApYYAACAygIlBgAAoLKUGk6UD9MAAACAXeLz58+YEwMAAFBdMJwIAACgskCJAQAAqCxQYgAAACoLlBgAAIDKAiUGAACgskCJAQAAqCxQYgAAACoLlBgAAIDKAiUGAACgskCJAQAAqCxQYgAAACoLlBgAAIDKAiUGAACgskCJAQAAqCxQYgAAACrLjikxl4btGtV60+R5e8h/rcOm6cAuM+3xM60tH+1hzlN2h9TOiB8dbcpLeqO4U+qJfOpytNs9mpYtR9m0q+JJ3dSj68sH142j45aCf68uabK2Jyy6VmG4jo8P6mGdSR3bZe7RfanS1YO6bpvl0t0k+l6CMrU3KhPn8RXnYdp0lUo6Pf6K6hny1rYWFN/R0n2frJu2aZGzYstLWGKgIri0uNR/Vhpu0JtdGs/1KTOfj6nbZCWjz/MpSJt4zzleq0y8LcDK8KDdpt7wjIjz/mAfcwPI5/JDBde2XYzbhxvs1iGNZtGdSB0fto7JLmp0WYEdtAYqXRhr/orTHZDFSuNu6oXv5R+HNI6Vaa7KxEo5rY0KmB7/D4353pdTuORccuiqrN4f0z+6ybqZv3pGrbpfjtzksrPz7uB4lsFlNVkMroXOx7D4L3AvcCzPYHG9tmgItinvg2dwq3HbOJahf9vWsul4dhhWXJ7itAsVIki8Wol4mXDd+GlXxIvjcP6m/k3T8mw+Dym6VmGcYdtjQ8EzTibe4kqFeHYYtvCuVNgydq+m4hxNOI4KKZfuJtn0XuIEeYiM0dHE+xxP4wy9dq3mmZPP+p6zmHq9OtcNGX7d6IjO1E/r55mdekMlFimb4MUiMllA9VV+EQy5rsLlMDwz4wVV8YI4hqRPK7FsZbQ6fyixe4dSPIZ3fb1je6aSt7uQjTy5LCOvRWn5JedwX+2kzwPywuNw3UhDVBgnA+5gtDmdaemOxiTW2GRcy2/IqoLjDdvc4Bon3OjH7yYvPEIpsaXrttfjhrrGDXVOshtk83sJCZXUhOXHv4+EErN7Xr1meCesIXNzkjxYiRknn5bqQBRkvWZ6E840K/31hhMvf6WnAz1mYexRsyEjCG1qdsdsjvrBPnMaD5oUTnUxYTx9TjLc8fQFfdCneZTNH9wvXDWW+IDI6UXzXO3e2nNa016XxmSQ9aZPLK63jEMfRG4ftFK/3aAW3xrNP3CMPFandaVLJ/Eu+I+V8ZaZ9g5pzKrGet2npg4rg+t8YNPCptN+n95Ybbp0/mZNmH+t+vjPwlN1zDZmSIOaqo4/5j7H5h6r8otn9GLqRnX08jeWSY/299ap9W0h8sL//LNFXy/dC59fsEzmyIuPDEUOaP79/9L/7ch7qYNjuM4l3528u8f0r7qeQ2ybaw6fXtIi713XymxNdK+QkyeHQILwyCpT6KGgyMLSvWHpWUfmW5hnviVWNv90OlB1bFOee/YRPvZVLMnJLaN/P2vY0B/RKLA0V6SVYRg1AijxZBgoYzgwES+NTid1s6LfDbTlkTXUJlZDrdDqcNgwiQ296cO4EyuMuda9iJFVj1lrbFHKkGDKElNxUvcbHEcyxKjiRsOJJ1nDiRL+6SYsMTLpeT/e32tQXyblvBH35FyaToc07HHPucmaWsdQuAvWq1ws6w31Ozp9o0P9Nxb3kYsomT+4ZwSLOthKsB3peKnDYc0mjH8ttwp1+kLkhPP4uaNDQMD0xTOas5q0fuok+uNgy7gOvbsUM06fa+Z/LViGU4G7zvSY/mf83/Q7W+6NLBNMESzqMIiVE7ES8t/daU+tQHz120u2BeW+H9JPJwZbaXN6dtgKVzI2O32acfwirqfEZAhR/xmilzU3m03qdgc0GMeGDAOcDyrsQSs54EGNQ3pSrMXK5Q/uGUHnZRZ1ephGZ0RKj83f0mSlFpvS2Zj/MZ9Tot8FGK6bV9xQcN38cBcjWl8MLr38TlYB7tPv8Qbd5o74xY/U6k35XEfddWSV5eGY/vv31/w+scLRwcs06IfzK77XGQ26zTBe4+EpTUxOd/Encb9UqbHGD+f0SeoiVIgGHXE9Law2KzwdlMGWl9jLEmDfKjJMkyzLJptLyAY022zb4KbzB1VDzTGUYXpGSoc9ukMrrNGSmYFMHH/Ci9L9upDCtBfcCOi0ZePF4bpROuzRQ1hhZWg0C+qYn6Pn1/FSXbo2veXL+yfc8HdiDXrnlH7hBqz2xxm3cLesxeRech66yAvRP6n19fK9uPZbboc9mj+LrKZarUsjWQr/6pC+qrdXznk19vaX8hXldn51pZS7dFrHrPj+/ihyy+XIeTe2q8T0MKFpezQbjajf71CHe84NHR7S3FPDhpdLM3V68jqPsvmD+4W2vrM+al7Z+GumvhlGd6nDWPBJdO787SQ1/KmHS7NGNkJWp+UOMcPx9mscz04tLkjHi5ieveJGguvmYU5rBlL4z+LiT3kW8WZahs74H+ObgueYjd8Z+0stXrhdNSbykncvfL7PMnkdsRCLrV6ntiXTADpM46pOVb5y8nnvjxJwOURuM4vCGm8DchZOxCbOw3DH9sxgwUYYP1rYYYYrNIJFG376RFiQrnT+WNhxvwhkIykvwbdPkbzksTvyECxQSXzDZQbfcBWXrjhttFrDNmUifHU8H6mbVUvvQRq1VF7qM/5tlSzYUGF531bppfTB4gUd6tg9f/FCmeXsN0Cw8GLpXlRY3r1kkbWwQy/V53uOfxs3Db4rU3ElVOJxOejImwQLOJypTivlWF56H7BdJRaE849mHvH46ruf9HXTV0h5Sqx0/nnlA5UlS17UkVrRp+Ml9ZruNK1UdrdB0IFLHyZfiVF0H0sHp0284BwvczVYOp6g4/IP5bQRIBNfIWXV8STe2rKCksY6/D5OnWelk5V6+asAbxatfJbKxAoluczQq3PZ1YpCHZQke3VikC6ZtxzJFYeyGrKeJbes3D8VaNItz4k1qP/GJlZEEYapVpT5E/Cx72A6I3JsK4rL8ezZz7SnT7NZI39wv2B5YUs88ewNwyLbma1eqBGshr2T73DSdGjkLMuw7Yz4yioK0ibGWTjeokw8Jqyb5BdPYBUdOl1MlH/KEK7jyeKUuqy1cumc0mJi+X4tdRAZR3SyuKJRt2iBxE3C9/JpQmaqTJPFiLpFKyrKwvf8eZG8Z8M44fzPqd+KwrIWdhhHE1qc96lVUKc10WT6bwAAAKBSbNkSAwAAAG4PKDEAAACVBUoMAABAZYESAwAAUFmgxAAAAFQWKDEAAACVBUoMAABAZYESAwAAUFnuTom5Q+q1e7T2ZsxL6Vwaypfg7XJ7SoH7wpR6NX7uJbbznvY4nsRNHVkOhW8Fl8suMhuUQ+S5bFE2SstpxNO4bPWhQ7KY9uor45RHfrNNw+JtgasNP4vjA71TsX4W9pr3Oz2uU71nLznHvXX0vcgeX/69iIeX1YVypy+T6UyLnIybmR5/FfN2Hx1ta5G8d/d9ZjkKS6KcT90B/k62KX9xJVhOBz+JXyKBM9zSzn/jvtj0scrh7s1Q0ndiJmV9JyYJHAIX+Uf0d30ujlMKx/LahuGZlsll9f815LyogJWkpO/EAvydkznNXe3qHFLSd2KaXJ+I6XSBE+B0vLRj32B353Q8P7+8ktwDJQa+NHwZ0AK+SonpnQ9W6rpbIih7wsN8GFasVIvTZvuglzRho5CpoCIP9/lx1sTx85TfNUzLs/m8iji25fXa0kHIqDWtgBKe38OwVZ7fOa72Eq/q/I6V2Gb3Eii+uHd6TmkPfY/8cSfAjh9m5joO9gkcAPvlkJiRt/ub82LPAh81KPywA1mNb48ihxG7FqQNrvERvLyOLb22+DXpyYWZ5qTLscQKyyBE6WwW1uh3478Jdo5QKWmrZJV2Ut7gU57u74wcWc0Nj1OUlhsNDl9SY1JX3ADE6yrZDnA4X1cyz+9AdpwNEGtMftfSz2py7RxvEYebjp7Xbku9yJFlWWnLYmnrlLzwOL4F5zf+XOfy950qsQ3vRSumLCXnK0Wut0CLKYvN8E5YQ+bfpvxeXf1e0mN9XnjE9ebELn+lpwO9i6Vs6CfexKc9aje7NI5vbjkfU7fZpqIpCHfYpmZ3TPPEpphzGg+aVGLaI8k6ZZgPqNsdxH53w98Et8DU39nbtGlUcnNLV+0E+YDI8b1jq7H4dq9QFm8OvenrgxYlHe83qCVbBRfuwrA6rSvNbgjXVYvr6simU6krNouy2OPrjjfj+mzlxlkX1/lAnvxuv09vrDZdOn8rjbDbuDQdHtNBvcnt0IhmM4PMkwktnFGGV3r/WXjqWcSvNaipnsXHwt009kzO90p2LW5tq8qvAd+L2sC5RV8v3QufX7BMbvTwLmnxt+oFsDxc8r/yDh7Tv+p6DrFtpnZ+drkcfMblyJRvLofId2ZRtDJbE90r5OTJIZAoPNq8kEMDay3Wi/TDgmHBIF3KWtK97nhvO5lOSPdQy5YhiqcsShUWi7eqhw9uHTUPFj6/cpZYOHeWcdz6I9bynDVs6MtdgcW4Iq307OMjimoeLLTOtMXFN5zfEy4T5x7i2J6lN7NUFqkMZeU9g4CVVsgqqyNAW2V3aYltfC/RcGJyg089nCjhOl2w6WbWO6j2JpNIUg7OL2vYUMqhLLnY3mNxrrk60aTn8c2c3Am9ld6i6ilH4Y3+TO/39ZYmmT3gBvVnMrQ5oqb0iKZDGvbEmuKepI5RmrXLYJLN3fogZqP/nEPAzsHWdXdskPWmn+qpFaG35CdOZ8v26Gr4nBwlCETjX+/pilauq8PxPlmv+2tvk/9lMaXj1iEN/p9Hv09klRxbpIOuP6IEVtChn064W1Wb07PDVriasNnt0yy53JCcSz7nLhgrO2Il5L+DLKOS5tVvL9kWjMdfn+spMRlC1H/GMR8tj/V0Hq1QDe5QDfc0m001vDcYj9dXYDFKl2HpHpq0x88G7BAiG90xGxZvVm+AmSDoHM2oH+/QdEYrOlUVRurqcEz71mvqQ4OtwN/Y0vqvGv3IDXGt1qaeZZNzL3s220c2sVxMkptYHrGiWlhtrksdxO/gD+dXrLxmNOg2wwHLxsNTmrDpX7v4k7h/eS01tiMfO+u5Dv7LME2yWJBsvjPHs2EVATau3yrZmA/4JeC3wz+6NJaL465qfNad42reRU+l0ZKZgUwcf8KLWnlKujDtBTcCflqpK5lamA+kUY7VlbQSXFd1qStsfx7R6FD/9JwbWYds67/orx8PqdWUOitQaI1m8XP0/GcRtuO7jNxLTkFFroj+Sa2v8++l0Tml86srPcoh83xNcj+uTic09vaj6wXy7Sr55vxy3o0bUWLjs+VVEdMz1eRko7dIN22PZqMR9fsd6nDPuaHDN2HtMoD7h7busz5qXqk0bgTfyp+/naSGMfWwZ87Ihs/qtI1KtJq7SoM6fWmQufMsW+S35zR+JgqtR3ZieEzwn8XFn/Is4tdk6Iz/Mb4peI67Bt/Lft698Pk+y+RacjWld69i6dyXdFCvU9uS4Xw/RkBSOTW4HDUuB3ccUuVQ8s35iXxnFoU16AakF1MElF1UEYTpiezYAo4wVXyJfF46xTUXduTdw63P+oP1KLOwI5AFWUIePGW27wNZuINnHCw0SXzrpb/Tylq0Eac4bfZ3Yj5Y2LEJRd+J2T1Z1MD1Hv+2Si8QWf2dWMAOLOxggoUXS/eiwvLuRS/Blw+R/URSYTosni6IF/+eLPr+y/+ezA+dJsohYRwvLMdNfSe2pAAY+daLb0I1EokjufIqVCp8yEsZKJ7MY0mJ+eG534mVKgOUWLXJUWLqu7DYykN9vnwk5fH20OVeOuIrbpn0fSgK0ua84D5QYtvHV0BZzyLxXZndU42wfCu3XK+7ocRUOcp47NAeOtSKQj71Vy+m0/CR/rYs17NHesXhZh47tj+c2BnRzLGIragIQ/xfzRKT8moVoI4z/0B0+MZeSiMryvwJ+Oj7mWQ6h43NDEqWAXwBsCxwzychC4Zh3aEsdGjkLMu67Yz4yioK0vKbD24Tf1GI+LEM4WcxWZxmfFe26/C9fJqQKT45dQgZR3wvI+rW8+8la2GHcTShxfmAmvE66JzS54Xl+/zUQYZxwvmfU78V+016yOVg+c4oR0f8LuqgNDXRZPpvAAAAoFLsyOpEAAAAYH2gxAAAAFQWKDEAAACVBUoMAABAZYESAwAAUFmgxAAAAFQWKDEAAACVBUoMAABAZdkxJebSUL7WDrdV1uftdfd92jRdSdwh9do92mjz50TaGy7nPWbai8vJCtwpDXuyPQSnkaPdpt70Dmucy6O8F+jytEUeShbHnQ45fpRWdqlelXbaq6u6Wu3VgMslnhFKxQXyHI8P9E7F+jnaJbZBdqcv6SCWTnY5LpPuRtH3EuwL1i5bJvdlIl3evbjT48Q9t02LnAw/G+77ZH558RIo51M7Q9pvYYGPxkI2TVcO339jytddSZJpb7ac95XQf2bSsWAOef4G034Jb4uSvhOzKPIDmeP/V+qqJnFK+ERUu0GXjAtK+k5Mo3wp5vgRzNxB+TYo6Tsxjd4VOplGjuS95PpYTPtEnOb5WCz2nbjjSmxTqqLEwHpEXtvVUUJOQs/vHDeUBcfyFckddB4CBZzwRB+GFZVGy7QorByP/MmXfLmuCpqjSNmViAu4vnTDnPD8Hoat8vzOjXzMo3uQTjy634Uj4M3uRfSx73U+7p1+OZ1WkMZJ5O2e4wXe6ZUzYRUcOP/V3u51VGeqFWXM232a63mxl4YheImkYdbvliNe5NULFxyGZ2a8oCpeEMeQ9Gkllq2MVuefSrfkEbyg/PEtYORQ5fJThemCa3zEG57icmWl1d77041pYRmE6P5s24r9ZnY93w8CC0a2VdFKKHqgOeg0d6CssknJZUheeAy9XdGyopO0/JJz2sgY4/vmBiJdV9lNACN5c3zT1vVVFBcwWhmlvbXnhmu05bKsGFaku1E2vBdGKbGl61ppKaWjg7KQuuB44RYr6fMYomTrNbZwc6yx682JXf5KTweyuSAjG/o1iNxhm5rdMc11sM+cxoMmxacwwnj6nOZj6j59QR/0aR5l8y9FuvxOj9rNLo3jeUu5mqt3Dt5auaZrlGE+oG53EPvNDeuhIuyZNjnejEadlg5ZwfRM7f5sPu/Tbmxe4JC/F2crVZ4GtWRb29huDUs0+jTjTucsz/V+Ks+9o1hd5bn/Vkyp12IZ4vin4ka/MC7w8Z+jp+o8XmENaqrn+DH7OTZ+ULsgz9QO5ToszlJ+twHfi9qIuUVfL90Ln1+wTEoXOYOm2k3zGb2YRttpui9/ozHL6f4e36MOW8al9/95RnNvnx53myVl7pIWeW2wVmZrElkVyZ5hEJ6yHGKbXvpEvepwaIStjyDPKF66h1o2/3S6NFnlj8LKbejJZdDnUdpV5UqnTZezbBmieJJ3slx+2P0mshgKURa47BvmeLYVt/rFQok/qFsi15oKnt36e5xJOm4D+H7yur3aKuO6yoqh5sFYrnwrrjgu0ORaVHJJhsnWm9/y08jQWvk0W+Na98LvlR4WVO+VPozcYVFt3al4MqTK+YbxouFENdSqw8PhRAlP7D0Wcc3ViSY9T/QMG9SfyRDliJqsbafTIQ17YllwT0/HULgL1qtcLOsN9Ts6faND/TcW8UteQMn8SxMrvzuht5IJ9/ZHQZmYRn+m9zR7S5Nca2xL5Vq7DCbZow7/uo/aa03/DUTMRMqI3j5tUncQt/rZYuUeYHuVeb3juGy1twZz0WBsRZXqzibh9IfjfbJe9yu0nf79QlbtqWf4/YTf+dqt22HXwnXo3SW/VaK6Ysz/WnArmApUiNVn0L5q5Of07PCAhmzm+TEf0k8nBluoEt6iuqySZe3Y7PgjEEVcT4nJEJz+M8Qdqk3Smk1uOLoDGoxjjUeA80GFPWhFDbWicUhPirVYufzLklF+89Hy1oSdRyVUwxbLVboMS+Vv0t6q+vvimPN//rJf7rSpw+EegVTTfPBis88k7hzuKPX84Ws262jBHZm1Gz+R18Mx7VuvqQ8NdgfwMzw+oNbhiLz93/1nWC0NRi+/O6TxbJ9+nyyILST9bnHn/eJHavWmHKajhnTo9PM5zaTD78jnHBf04/8ZhkvoZZPNT5I+rAiDjjjvhdWmgr05t/2dGBdMWx+GaZJl2WTbDhfS3pKFcNP5b8quluvLpqEmmgyy3owoZtiy0T+iN5aosYJx9pug0SIpURaOP1lG6X7dMvJtIXeUxnMyLIe82WZWlDt5SxfcdswHLdXj9Y8ujaU9GXe50WhzL9mPC1I0msXP0fOfY367ywrgoEWHoxnt/84KIL0T8m0i95Lz044/WUatrzPuxbXVqNH+CXeCOtH8V6NzSr+YLEt/nNF7rZwyaWjL6+JP7mBGxlzj4amaN/Q7nDM1YvL3xwu+zuXIeTe2q8T0MKFpezQbjajf71CHW4+GDg9p7qme8OVSC6InvvMom/81GJ8t982nZ7I8oIAtl2ujMoBllJzN6cPONMa+pTx/O+FmLI5LauQza2QjAXeWak0azA2WNSd/kQe4YfznePGnPMd4Q+2So57jNwXPcUrH9RYN2IL5nq2M87xFHrcG34usz8i8Fz7fZ5lcs3xqwQf9RYu/WTm5L+mgXqeaaWdYZmV4T2ev/HI0uBxZRdmyJeYjjXD4kop3gqd6buhSxkoZ3SOdD57GPCdID5N7gvqsiJX5b0IwlMm90Lg3B1l12JVCGU/oMNFmLPfiy5crxwJYuwygEF2f4y5bFfH6nPb8Vam3Xp/BKsQBPR0GsiJDg09ZMUlxDsP5zSymPXk/2LJ0ZNXh9Qou86zBEFB02MSdaOmN8bUZhhlzCVYhPqPv+Dn6q/dkePA7Vk4e7T+W55jd8k+PD/kZ7tPvi3MasZWxpn64AYJViBn3Mi+4F23BXTz7jt8tJ1R/Msf3nczx7T9W71at0VXvYO3VIR3H470/pn9wvCuO5y9QFOv0K6rXTLIXLIt+JA5jmWftt/+4y+o2p7ZYeDcgvaouILZqLuuIx9ffbiWvm/73UWzS+OSv3ss80vGC87zvxNLll++80nmqI7lqLFwFyIe/0qz8fSfTZnwnVqoMOeUPwqMbvacUrE5MP+tghWjGcTfVFKzMTR/x1a7MGvfhH5w+a+nWWisOsTqxPCU9digPHfwcZSWeXgm4nCY4joq9fdwYJT128L2IRw31gXLsPJnGP8I4AsfLvu/kikNZDVlPrXRUh3HifSqoly1bYg3qv+HeHL9tIYZJlu3o1XWx72A6I3JsK4rL8ezZz7SnT7NZI/9N4DLNnFiZBCkX93zjIzdqFaCOM//gcB+ifLmSaRfL38WVLAMoiXxf5ciziVWoPBvuco6W18/cAh0aqfLoU0E93xFfyUfmsJRVD3aEDp0uJsoHZgg/x8nilLo544P+M5R2edfge/k0IVN8cuoQMo74XkbULVpR0TmlTxPL9wOqgyTdyeKKrcx6FMbxzhfJeIbK/5z6rSgsa2GHcTShxXmfWgVjrjXRZPpvAAAAoFLcyJwYAAAAcBtAiQEAAKgsUGIAAAAqC5QYAACAygIlBgAAoLJAiQEAAKgsUGIAAAAqC5QYAACAygIlBgAAoLJAiQEAAKgsUGIAAAAqC5QYAACAygIlBgAAoLKU8mIvW5cDAAAAu8Tnz5+xFQsAAIDqguFEAAAAlQVKDAAAQEUh+v9Y40zAzHZzewAAAABJRU5ErkJggg==\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ch3\u003eLeaf elemental composition\u003c/h3\u003e\n\u003cp\u003eThe elemental composition of leaves was influenced by the rotation of the in-growth core; however, radial plants had no influence on plant leaf elemental composition and no interaction was observed between the treatments (Table 3, Fig S2). Leaf concentrations of phosphorus, a key element foraged by mycorrhiza, were 51% higher on average in plants grown in static cores (Fig 3). Radial plants did not influence leaf phosphorus concentration (Fig 3). In addition, magnesium, sulphur, copper, and zinc were all elevated in plants grown in static cores (Table 4).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u0026nbsp;\u003c/strong\u003ePERMANOVA results showing the effect of soil volume (size), radial plant community (radial), and core rotation (rotation) on the multivariate elemental composition of the leaves of \u003cem\u003ePlantago lanceolata\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" style=\"width: 432px;\"\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4\u0026nbsp;\u003c/strong\u003eThe effect of radial plant community (radial) and core rotation (rotation) on the mean elemental composition of the leaves of \u003cem\u003ePlantago lanceolata\u003c/em\u003e. Significantly highest mean values are coloured green, and the lowest values red. \u0026plusmn; indicates the standard error of the mean.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" style=\"width: 748px;\"\u003e\u003c/p\u003e\n\u003ch3\u003eImpacts on above- and below-ground carbon flux\u003c/h3\u003e\n\u003cp\u003ePlants grown in static cores had a significantly lower (18.2% less on average) gross ecosystem exchange (GEE) compared to those in rotated cores (Table 5, Fig. 4), indicating greater fixation of carbon by plants in static cores. Radial plant community did not influence GEE. In addition, rotation of the mesh core surrounding the plant significantly reduced the total amount of carbon exudated by plant roots by 24.2% on average (Table 5, Fig. 4). No significant impact of radial plants on the total amount of carbon exudated by plant roots was detected. There was a significant correlation between GEE and the total amount of carbon in root exudates with biomass (Fig. 4). When both effects were scaled by above-ground biomass, they were no longer significant (Table S1, Fig. S3). There was no significant impact on soil respiration (Fig S4).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5\u0026nbsp;\u003c/strong\u003eThe effect of radial plant community (radial) and core rotation (rotation) on the total amount of carbon exudated and gross ecosystem exchange (GEE) of \u003cem\u003ePlantago lanceolata\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" style=\"width: 596px;\"\u003e\u003c/p\u003e\n\u003ch3\u003eAM fungal colonisation\u003c/h3\u003e\n\u003cp\u003eNo evidence of mycorrhizal colonisation was observed in any radial \u003cem\u003eRumex\u0026nbsp;\u003c/em\u003eroots sampled, confirming their status as non-mycorrhizal plants. Although all \u003cem\u003eP. lanceolata\u003c/em\u003e roots from the mesh cores were colonised by mycorrhiza, fungal hyphae and vesicles were significantly more abundant in the roots that were in static as opposed to rotated cores. Radial plants did not influence the presence of hyphae or vesicles in the roots (Table 6 and Fig. 5). No treatment influenced the presence of arbuscules (Table 6). Hyphal length in soil from inside the core was significantly greater in static compared to rotated cores (Table 6 and Fig. 5). Radial plants did not influence hyphal length.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 6\u0026nbsp;\u003c/strong\u003eThe effect of soil volume (size), radial plant community (radial), and core rotation (rotation) on root associated AM fungal structures in \u003cem\u003ePlantago lanceolata\u003c/em\u003e. Asterisks indicate significant differences.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThis study investigated how the extension of extra-radical mycorrhizal hyphae, and their interaction with different neighbouring plants, influence the physiology and nutrient uptake of \u003cem\u003ePlantago lanceolata\u003c/em\u003e. Enabling growth of hyphae into the radial compartment increased plant carbon capture above-ground and release below-ground as root exudates, and resulted in the greater accumulation of elements key to plant health, especially phosphorus, copper, sulphur, and zinc; although 13 other elements remained unaffected by the treatments. However, contrary to expectations, the presence of mycorrhizal or non-mycorrhizal neighbours did not significantly alter the benefits \u003cem\u003ePlantago lanceolata\u003c/em\u003e derived from having greater exploratory extra-radical mycorrhizal hyphae. This finding highlights the importance of hyphal exploration of soil regardless of the presence of a simple radial plant community.\u003c/p\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003eBiomass and Carbon Dynamics\u003c/h2\u003e \u003cp\u003ePlants that had hyphae that could penetrate the radial compartment had greater above-ground biomass than those that could not (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). This was in line with our expectation that mycorrhiza would alleviate nutrient limitation resulting in greater plant biomass. Other studies have found that association with AM fungi can promote (Zhang et al. \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2015\u003c/span\u003e), have no impact (Karasawa et al. \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), or decrease biomass of \u003cem\u003eP. lanceolata\u003c/em\u003e (Qu et al. \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). These differing results may arise from differences among studies in soil conditions, especially nutrient availability, and AM fungal genotypes. Here, we prioritised sourcing AM fungi from an environment where \u003cem\u003eP. lanceolata\u003c/em\u003e grew wild, as the AM fungal community would likely be adapted to promoting \u003cem\u003eP. lanceolata\u003c/em\u003e. Although AM fungal association has been reported to promote below-ground biomass (Zhang et al. \u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e2015\u003c/span\u003e), no significant impacts were detected in our study, although there was a promotion of above-ground biomass. This may have been due to the mesh cores restricting growth, although no evidence of roots being pot bound was apparent at sampling. The promotion of above-ground biomass may be due to the additional carbon sink from the connected mycorrhizal hyphae, that in turns stimulates leaf growth to supply additional carbon (Kaschuk et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2009\u003c/span\u003e). This theory is in-line with our hypothesis that mycorrhiza would stimulate carbon absorption and release below-ground as root exudates and was confirmed by our experimental results (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Other literature also supports that disconnection from mycorrhizal hyphae reduces plant photosynthetic rate (Gavito et al. \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). These findings has implications for the role that AM fungi play in terrestrial carbon cycling (Hawkins et al. \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eOur findings confirmed our hypothesis that AM fungi induce an increase in photosynthetic rate and this is linked to increased carbon in root exudation. This finding therefore connects above-ground and below-ground effects of mycorrhizal symbiosis that have been reported separately (Xu et al. \u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). We observed a strong positive correlation between leaf biomass and both above-ground carbon capture and below-ground carbon release as root exudation (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). This suggests that the effect is mediated by an increase in photosynthetic tissue as opposed to some metabolic shift. Nevertheless, the observed enhancements in photosynthesis and below-ground carbon allocation may be constrained in environments where mycorrhizal networks cannot provide sufficient resources to support increased biomass. This limitation of growth could occur in nutrient-poor soils, such as used here, or when other environmental factors, such as temperature, restrict plant growth.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec17\" class=\"Section2\"\u003e \u003ch2\u003eNutrient uptake\u003c/h2\u003e \u003cp\u003ePlants grown in static cores had, on average, a 51% higher concentration of phosphorus in their leaves, likely due to the connection to mycorrhizal hyphae outside of the core (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e), and supports the well-established role that mycorrhiza play in plants obtaining this nutrient (Smith and Read \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Jiang et al. \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2021\u003c/span\u003e; Tibbett et al. \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). In addition, magnesium, sulphur, copper, and zinc were all elevated (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e4\u003c/span\u003e), which are key to plant health. For example, magnesium is the central atom in the chlorophyll molecule (Shaul \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2002\u003c/span\u003e); sulphur is a key constituent in some amino acids (Hawkesford and De Kok \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2006\u003c/span\u003e); copper serves as a cofactor for electron-transfer proteins (Burkhead et al. \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2009\u003c/span\u003e); and zinc is a co-factor in thousands of proteins, including those involved in CO\u003csub\u003e2\u003c/sub\u003e fixation (Broadley et al. \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2007\u003c/span\u003e). Therefore, this study adds to evidence that mycorrhiza help plants to accumulate a range of elements that are essential to their survival (Allen and Shachar-Hill \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2009\u003c/span\u003e; Lehmann and Rillig \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Zare-Maivan et al. \u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e2017\u003c/span\u003e; Rosas-Moreno et al. \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2021\u003c/span\u003e). The accumulation of these elements in plants due to mycorrhizal interactions could have important implications for plant-herbivory interactions (Balluffi-Fry et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2022\u003c/span\u003e), and the nutritional status of crops (Lehmann and Rillig \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2015\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec18\" class=\"Section2\"\u003e \u003ch2\u003eMycorrhizal colonisation\u003c/h2\u003e \u003cp\u003eThe presence of vesicles and hyphae in roots, as well as the average hyphal length inside the in-growth core was reduced in rotated cores (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e). This indicates that the rotation treatment disrupted connections between the focal plant and mycorrhiza outside of the core. Vesicles and hyphal density are often-used as proxies of performance of mycorrhizal fungi but do not always correlate with performance benefits for the plant (Gange and Ayres \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e1999\u003c/span\u003e), although in our experiment plant performance was better in the static treatments. Arbuscule formation was not different between treatments, although these structures are transient (2\u0026ndash;8 days) and the sampling represents a single time point sampling (Luginbuehl and Oldroyd \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Therefore, differences in arbuscules present in the root may have been more apparent at different stages of the symbiosis.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec19\" class=\"Section2\"\u003e \u003ch2\u003eLack of Radial Plant Effect\u003c/h2\u003e \u003cp\u003eWe found no significant effect of the presence or identity of radial plants on the biomass of focal \u003cem\u003eP. lanceolata\u003c/em\u003e. This effect included mycorrhizal plants of the same species (i.e. \u003cem\u003eP. lanceolata\u003c/em\u003e) and non-mycorrhizal plants of a different species (\u003cem\u003eRumex aceotosa\u003c/em\u003e). This finding counters our initial hypothesis that the presence of a radial community of mycorrhizal plants would enhance efficient resource use via a CMN and therefore improve plant performance. Instead, our findings suggest that soil foraging effects are important whereby plant biomass increases when its mycorrhizal network is given access to a greater volume of soil (e.g., the soil outside the in-growth core (Karst et al. \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). Like many manipulations of CMNs, our study is limited in that we could not establish the extent that a continuous function CMN had formed, which typically requires use of isotopes (Lekberg et al. \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). However, our study demonstrates the importance of additional controls (areas with no plants and non-mycorrhizal plants, which likely modify edaphic conditions in a similar way to mycorrhizal plants, but which cannot form CMN-HCs) that help prevent attributing observed effects to a CMN. This methodological approach is important as isotopes or other similar methods can be restrictive due to cost, access to material, and restrictions on radio-isotope use (e.g., in field experiments).\u003c/p\u003e \u003cp\u003eIt is possible that the duration of plant growth in this study (seven weeks) was insufficient to establish a CMN-HC. Although an initial condition phase was included, the removal and replacement of plants may have disrupted an established CMN. Furthermore, other studies have suggested that CMN effects may be most evident when there are imbalances within the network, such as differences in carbon costs to a plant for mycorrhiza-obtained nutrients (Walder et al. \u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e2012\u003c/span\u003e), or plant access to water (Egerton-Warburton et al. \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2007\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eOur study had similar genotypes growing in a relatively homogeneous environment. As such, biological market theory would suggest that with no variation in supply or demand (even soil resources), and no partner choice driving competition (similar genotype), a single, uniform \"exchange rate\" (the price of nutrients for photosynthate) would emerge across the entire population, thus with little trading advantage to be gained (Bunn et al. \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Future studies may consider designs with likely imbalances in the CMN partners. Our findings also counters the hypothesis that non-mycorrhizal plants may induce CMN-like effects (Wang et al. \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e2022\u003c/span\u003e) as well as our hypothesis that radial mycorrhizal plants would modulate mycorrhizal effects. This is evident as we did not observe an impact of radial \u003cem\u003eR. aceotosa\u003c/em\u003e on plant performance in the static cores relative to those with no radial plants or those with \u003cem\u003eP. lanceolata\u003c/em\u003e as radial plants. However, the inclusion of non-mycorrhizal plants in a greater range of environmental conditions and plant communities is required to fully establish their role in CMN function. Beyond nutrient transfer, other CMN effects, such as herbivory signalling, may have been present, but were not tested in this study (Babikova et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2013\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study demonstrates that enabling the development of a fungal network beyond the immediate host rhizosphere significantly enhances carbon capture by plants and increases the amount of carbon they release at their roots as exudates, and that this effect is strongly correlated with increases in leaf biomass. Furthermore, our results indicate that mycorrhiza facilitate plant accumulation of a range of elements in addition to phosphorus, especially micronutrients zinc, copper, and sulphur. Critically, this study also underscores the importance of including non-mycorrhizal and no-plant controls to accurately attribute plant performance to CMN effects, rather than mycorrhizal soil foraging effects.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eH. B.: Conceptualisation (support); Methodology (co-lead); Visualisation (lead); Investigation (equal); Writing \u0026ndash; original draft (lead); Investigation (lead); Writing \u0026ndash; review and editing (support). L.A.: Investigation (equal); Methodology (support); Writing \u0026ndash; review and editing (support).S.M.: Investigation (equal); Methodology (support); Writing \u0026ndash; review and editing (support).C.R.: Funding Acquisition (support); Project administration (support); Supervision (support); Writing \u0026ndash; review and editing (support).R.B.:Funding Acquisition (support); Methodology (support); Project administration (support); Supervision (support); Writing \u0026ndash; review and editing (support).D.J.: Conceptualisation (lead); Funding Acquisition (lead); Methodology (co-lead); Investigation (support); Project administration (lead); Supervision (lead); Writing \u0026ndash; original draft (support); Writing \u0026ndash; review and editing (lead).\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAlaux P, Zhang Y, Gilbert L, Johnson D (2021) Can common mycorrhizal fungal networks be managed to enhance ecosystem functionality? 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BMC Res Notes 8:698. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1186/s13104-015-1681-z\u003c/span\u003e\u003cspan address=\"10.1186/s13104-015-1681-z\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"mycorrhiza","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mcor","sideBox":"Learn more about [Mycorrhiza](http://link.springer.com/journal/572)","snPcode":"572","submissionUrl":"https://submission.nature.com/new-submission/572/3","title":"Mycorrhiza","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"photosynthesis, net ecosystem exchange, common mycorrhizal network, grassland, carbon, phosphorus, magnesium, zinc, copper, sulphur","lastPublishedDoi":"10.21203/rs.3.rs-6465715/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6465715/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eMost plants extend their zone of interaction with surrounding soils and plants via mycorrhizal hyphae, which in some cases can form common mycorrhizal networks with hyphal continuity to other radial plants. These interactions can impact plant health and ecosystem function, yet the role of these radial plants in mycorrhizal interactions and subsequent plant performance remains underexplored. Here we investigated the influence of hyphal exploration and interaction with neighbouring mycorrhizal and non-mycorrhizal plants on the performance of \u003cem\u003ePlantago lanceolata\u003c/em\u003e, a mycotrophic perennial herb common to many European grasslands, using mesh cores and the manipulation of neighbouring plant communities. Allowing growth of hyphae beyond the mesh core increased carbon capture above-ground and release below-ground as root exudates and resulted in the greater accumulation of elements relevant to plant health in \u003cem\u003eP. lanceolata\u003c/em\u003e. However, contrary to expectations, the presence of mycorrhizal or non-mycorrhizal neighbours did not significantly alter the benefits of hyphal networks to \u003cem\u003eP. lanceolata\u003c/em\u003e. Our findings demonstrate that enabling the development of a fungal network beyond the immediate host rhizosphere significantly influences plant leaf elemental stoichiometry, enhances plant carbon capture, and increases the amount of carbon they release via their roots as exudates.\u003c/p\u003e","manuscriptTitle":"The Influence of Mycorrhizal Hyphal Connections and Neighbouring Plants on Plantago lanceolata Physiology and Nutrient Uptake","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-21 10:54:47","doi":"10.21203/rs.3.rs-6465715/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-06-12T09:14:32+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-05-21T11:52:35+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-05-15T19:16:59+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"247471375152405958283418523064021503996","date":"2025-05-05T09:24:47+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"291923692176267837608134306684987906607","date":"2025-04-30T06:16:03+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"333667121627643171576590353567091113989","date":"2025-04-28T01:41:30+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-04-24T21:53:24+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-04-24T13:07:18+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-04-24T08:03:27+00:00","index":"","fulltext":""},{"type":"submitted","content":"Mycorrhiza","date":"2025-04-16T17:43:11+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"mycorrhiza","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"mcor","sideBox":"Learn more about [Mycorrhiza](http://link.springer.com/journal/572)","snPcode":"572","submissionUrl":"https://submission.nature.com/new-submission/572/3","title":"Mycorrhiza","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"a0035c90-3edf-485e-a9d3-dec35f27d534","owner":[],"postedDate":"April 21st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-08-04T16:46:16+00:00","versionOfRecord":{"articleIdentity":"rs-6465715","link":"https://doi.org/10.1007/s00572-025-01221-8","journal":{"identity":"mycorrhiza","isVorOnly":false,"title":"Mycorrhiza"},"publishedOn":"2025-08-02 16:38:05","publishedOnDateReadable":"August 2nd, 2025"},"versionCreatedAt":"2025-04-21 10:54:47","video":"","vorDoi":"10.1007/s00572-025-01221-8","vorDoiUrl":"https://doi.org/10.1007/s00572-025-01221-8","workflowStages":[]},"version":"v1","identity":"rs-6465715","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6465715","identity":"rs-6465715","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}