Abstract

Aluminium (Al) hyper-accumulation is a common trait expressed by tropical woody plants growing on acidic soils. Studies on Al accumulators have suggested that Al addition may enhance plant growth rates, but the functional significance of this trait and the mechanistic basis of the growth response are uncertain. This study aimed to test the hypothesis that differential growth responses to Al among populations of an Al accumulator species are associated with variation in biomass allocation and nutrient uptake. We conducted two experiments to test differential responses to the presence of Al in the growth medium for seedlings of the Al accumulator shrub Melastoma malabathricum collected from 18 populations across Peninsular Malaysia. Total dry mass and relative growth rate of dry mass were significantly greater for seedlings that had received Al in the growth medium than for control plants that did not receive Al, but growth declined in response to 5.0 mM Al addition. The increase in growth rate in response to Al addition was greater for a fast-growing than a slow-growing population. The increase in growth rate in response to Al addition occurred despite a reduction in dry mass allocation to leaves, at the expense of higher allocation to roots and stems, for plants grown with Al. Foliar concentrations of P, K, Mg and Ca increased in response to Al addition and the first axis of a PCA summarizing foliar nutrient concentrations among populations was correlated positively with seedling relative growth rates. Some populations of the Al hyper-accumulator M. malabathricum express a physiological response to Al addition which leads to a stimulation of growth up to an optimum value of Al in the growth medium, beyond which growth declines. This was associated with enhanced nutrient concentrations in leaves, which suggests that Al accumulation functions to optimize elemental stoichiometry and growth rate.

Introduction

The toxicity of high soil Aluminium (Al) concentrations to many plants is an important limitation to crop production on acidic soils globally (Ryan et al. 1993; Doncheva 2005; R’bia et al. 2011). For this reason, understanding the mechanisms of Al uptake and toxicity has been a major focus of plant physiological research (Godbold et al. 1988; Watanabe et al. 1997; Barceló and Poschenrieder 2002). However, plants that are able to tolerate and even accumulate Al are particularly interesting as potential model organisms for understanding the physiological constraints to plant growth and productivity on acid soils. Al accumulators were originally defined as plants that contain more than 1.0 mg Al g-1 dry mass (Chenery 1948), although more recent surveys of Al concentrations in plant tissues suggest that this threshold may be dependent on biogeographic origin and growing conditions (Metali 2010; Metali et al. 2012). Al accumulators occur in approximately 60 angiosperm families that are distributed broadly among eudicots and monocots, as well as some ferns and mosses, which suggests that the Al accumulation trait has evolved many times (Chenery 1948; Jansen 2002). These species contain tissue Al concentrations that are far in excess of those found in a majority of plants, without suffering phytotoxic effects (Jansen 2002; Rascio and Navari-Izzo 2011). Most Al accumulator plants have been recorded from tropical biomes and are associated with the acidic soils of these regions (Jansen et al. 2002; Osaki et al. 2003; Metali et al. 2012).

Although the phytotoxic effects of Al on plants dominate physiological research, there have also been persistent reports of positive effects of Al addition at low concentrations on the growth of some plants grown in nutrient solutions. These stimulatory effects of Al have been demonstrated for non-Al accumulators native to acid soils, such as Miscanthus sinensis (Yoshii 1937) and Eucalyptus gummifera (Mullette 1975), as well as Al accumulators such as Melastoma malabathricum (Osaki et al. 1997; Watanabe et al. 1998, .2005; Metali 2010), Camelia sinensis (Konishi et al. 1985; Fung et al. 2008; Hajiboland et al. 2013; Tolra et al. 2020), Vochysia tucanorum (de Souza et al. 2017), Callisthene fasciculata (de Souza et al. 2020) and Symplocos paniculata (Schmitt et al. 2016). A positive growth response to Al addition represents a paradox considering the highly toxic effects of Al observed in most plants and especially crops (Hajiboland et al. 2013; Poschenrieder et al. 2015).

Several mechanisms have been proposed to explain this positive growth response to Al addition. One proposal is that Al efflux from plant roots ameliorates H+ toxicity for plants growing in acid soils (Osaki et al. 1997; Kidd and Proctor 2001; Delhaize et al. 2012), but the inherent tolerance of many Al-responsive plants to low pH soils undermines support for this hypothesis (Hajiboland et al. 2013). Alleviation of an inhibitory effect of excess P on plant growth (Clark 1977) is equally unlikely considering the low P concentrations in uncultivated soils where wild Al accumulators typically occur (Metali et al. 2012). An alternative hypothesis is that Al addition stimulates the uptake of N, P or K and growth is thus stimulated by alleviation of deficiencies of these nutrients (Konishi et al. 1985; Osaki et al. 1997; Watanabe et al. 2005). Although there appears to be evidence for this hypothesis (Osaki et al. 1997), later experiments focussing on P uptake failed to support it (Watanabe and Osaki 2001). This hypothesis is also difficult to interpret when plants are grown in nutrient solutions containing high concentrations of these elements (e.g. Watanabe and Osaki 2001; Watanabe et al. 2005). Similarly, protection against Mn toxicity (Clark 1977) would only be a credible mechanism of growth stimulation by Al for plants growing in solutions containing high Mn concentrations, which is not typical for studies of this type. In tea (Camelia sinensis), low concentrations of Al in nutrient solutions stimulate increased rates of stomatal conductance and photosynthesis, which would provide a direct explanation for the positive effect on growth (Hajiboland et al. 2013).

The tropical Southeast Asian shrub Melastoma malabathricum is emerging as a model species for ecophysiological studies on Al accumulation (Osaki et al. 1997; Watanabe et al. 1998; Metali et al. 2015; Khairil and Burslem 2018). This species has shown enhanced growth and root activity and increased uptake of N, P, K, Ca and Mg in response to addition of Al to nutrient solutions (Watanabe and Osaki 2001; Watanabe et al. 1997, 2005).

It is a widespread species in tropical Asia and occupies a diverse range of habitats and soil conditions (Watanabe et al. 1998, 2005; Khairil and Burslem 2018). We have shown elsewhere that the expression of foliar Al accumulation varies among populations of M. malabathricum, and that these differences are positively correlated with total soil concentrations of N, Ca and Mg, but unrelated to soil total or exchangeable Al concentrations for populations in the wild (Khairil and Burslem 2018). In a solution culture experiment, Al addition increased foliar concentrations of P, K, Ca and Mg (Khairil and Burslem 2018). In this paper, we test the hypothesis that differential growth responses to Al addition among populations of this species are related to their capacity for nutrient uptake. We compare these results for tissue chemistry to the alternative hypothesis that growth responses to Al addition are driven by increased biomass allocation to leaves. The following specific questions were addressed.

  1. Do M. malabathricum seedlings respond positively to the addition of Al to the growth medium?

  2. Does the extent of growth stimulation vary among progeny derived from different populations of M. malabathricum?

  3. Is growth stimulation by Al addition associated with changes in biomass allocation and/or changes in leaf tissue chemistry?

Methods

Study species

The study species was the tropical shrub Melastoma malabathricum (Melastomataceae), which is a known Al accumulator plant (Chenery 1948; Jansen 2003; Watanabe et al. 2005; Khairil and Burslem 2018). M. malabathricum occurs from islands in the Indian Ocean to South and South-East Asia, China, Taiwan, Australia and the South Pacific Ocean and is found in a range of natural vegetation types, as well as wasteland, secondary forest and roadsides (Jansen et al. 2002; Watanabe et al. 2005). In some countries, including Malaysia, the leaves and roots of M. malabathricum are reported to be useful for medicinal purposes (Sharma et al. 2001; Joffry et al. 2012).

Plant sampling

Fruits of M. malabathricum were collected from 18 populations across Peninsula Malaysia (see Supporting Information—Figure S1) growing in a range of habitat types and elevations, spanning 2–450 m a.s.l., in December 2013 and January 2014 (Khairil and Burslem 2018). A total of 10–12 fruits from at least three individuals (range 3–5 individuals) were collected per population and mixed together to create a bulk sample for each population. The seeds were extracted from the partly opened fleshy fruits in distilled water, rinsed with distilled water several times, then filtered and left to air-dry in an air-conditioned laboratory at the Universiti Sultan Zainal Abidin, Malaysia. Air-dried seeds were transported to the University of Aberdeen, UK, for experimental work.

The seeds were soaked in 5 % bleach solution for 3 min and then rinsed three times for at least 3 min with sterilized distilled water. Three seeds from each population were then sown together on the surface of Daishin agar (0.5 g agar/100 mL with 50 % Hoagland nutrient solution) in sterilized 0.5 µL Eppendorf tubes (for the composition of nutrient solution [see Supporting Information—Table S2 of Khairil and Burslem 2018). The bottom 3 mm of the Eppendorf tubes had been removed to enable the growth of roots into a nutrient solution. Each population was represented by 24 Eppendorf tubes (72 seeds per population). Thereafter, the 432 tubes were suspended in groups of six in sterilized boxes (dimensions 12 × 8 × 7 cm) containing 50 % Hoagland nutrient solution with each box containing three tubes of each of two populations. The boxes were divided equally between two growth chambers both set to deliver a temperature of 27 °C and 12/12 h light/dark photoperiod with an irradiance of 200–250 μmol m–2 s–1. The pH of the nutrient solutions was checked daily and adjusted to 4.0 following Watanabe and Osaki (2002) using 0.1 M NaOH or 0.1 M HCl, and the nutrient solutions were renewed weekly throughout the growing period. The seeds germinated after 7–10 days, and 14 days after sowing the seedlings were thinned to one per Eppendorf tube by randomly selecting excess surviving individuals for removal.

Twenty-eight days after sowing, containers containing half the seedlings per population were randomly selected and the seedlings were harvested, oven-dried at 60 °C and weighed (harvest 1). Half of the remaining seedlings per population were randomly selected to receive Al in the form of 1.0 mM AlC3 added to the nutrient solution. Six individuals in two boxes per population in each treatment were distributed equally between the two growth chambers. The boxes were rerandomized weekly within the growth chambers and all remaining seedlings were then harvested after 56 days, dried and weighed (harvest 2).

To determine elemental concentrations in plant leaves, a 0.5–1.0 cm2 fragment of the lamina tissue was removed from the leaf margin for three randomly selected individuals per population × treatment combination at harvest 2. This material was cut in transverse section, washed in deionized water and placed in a 50 µL Teflon tube. The samples were then dried in an oven at 88 °C for 20–22 h and weighed before being digested using 70 % nitric acid (HNO3) and analysed for Al, Ca, Mg, K and P by inductively coupled plasma mass spectrometry (ICP-MS) (NexION 300D, ICP Mass Spectrometer, PerkinElmer, USA). The dry mass of samples used for analysis was added to the remaining leaf dry mass to derive the total leaf dry mass per plant.

In a second experiment, the two populations of M. malabathricum which had the highest and lowest relative growth rates in the first experiment were selected for detailed characterization of their growth response to a range of Al concentrations in the growing medium. A total of 360 seeds per population were germinated separately in 120 Eppendorf tubes (60 per population) on the surface of 50 % Hoagland agar from which the lowest 0.5 cm had been removed to allow root growth into surrounding nutrient solution as above. The tubes were distributed among 30 sterilized containers (dimensions 12 × 8 × 7 cm) containing 50 % Hoagland solution. The containers were divided equally between two growth chambers with identical growing conditions and adjustments to the nutrient solution pH as in Experiment 1.

The seeds germinated after 7–9 days, and 14 days after sowing the seedlings were thinned to one seedling per Eppendorf tube by randomly selecting excess surviving individuals for removal. Boxes were re-randomized weekly within each growth chamber. Four weeks after germination was complete (35 days from sowing), half of the seedlings were harvested, oven-dried for 5 days at 60 °C and the dry mass of the seedlings measured. The 30 remaining seedlings from each population were suspended, one per container, in nutrient solutions comprising 50 % Hoagland solution amended with the addition of 0, 0.5, 1.0, 2.0 or 5.0 mM AlCl3 to achieve six replicates per Al treatment for each population. The 60 containers were distributed randomly between the two growth chambers and their locations re-randomized weekly within growth chambers. Four weeks after the start of the Al treatments (9 weeks from sowing), all seedlings were harvested by dividing each plant into fractions representing roots, stems and leaves before oven-drying them at 60 °C for 5 days. The root, stem and leaf dry mass of each individual was determined separately and biomass allocation represented as the dry mass ratios (dry mass of a plant part divided by total plant dry mass), for leaves (leaf mass ratio, LMR), stems and petioles (stem mass ratio, SMR) and roots (root mass ratio, RMR) at the final harvest (Hunt 1982).

Data processing and statistical analysis

The relative growth rate of dry mass (RGR) was calculated based on Hunt (1982):

where W2 is the final total plant dry masses (g) of each individual at the second harvest conducted at time t2 and W1 represents the mean total dry mass of the population from which that individual was derived at the first harvest conducted at time t1.

Two-way analysis of variance (ANOVA) models were fitted to data on total dry mass at the final harvest, RGR and mass allocation variables as well as the foliar Al and nutrient concentrations to determine the significance of differences among populations, the Al treatments (Al+ vs. Al− in the first experiment, or the five Al treatments used in Experiment 2) and the interaction between population and Al treatments. The major trends across the multivariate data-sets of foliar concentrations of five elements (Al, P, K, Ca and Mg) and biomass allocation (LMR, SMR and RMR) were summarized using Principal Components Analyses (PCA) on centred and standardized data for plants derived from the Al+ and Al− treatments separately in Experiment 1, and Pearson correlations were used to determine whether scores along the first two PC axes were related to population mean values of dry mass, relative growth rate or the percentage change in these metrics in response to Al addition. All analyses were conducted using R version 3.3.1 (R Development Core Team 2016) using the aov function in the ggplot library for ANOVA and the prcomp() function in the ggbiplot library for PCA analyses.

Results

Effects of Al addition on seedling growth

In Experiment 1, mean seedling dry mass after 56 days and RGR from days 28 to 56 following Al addition increased by 94 % (F = 82.2, P < 0.001) and 14 % (F = 47.2, P < 0.001), respectively, in response to the addition of Al to the nutrient solution (Fig. 1, for two-way ANOVA output, see Supporting Information—Tables S1–S3). Seedling dry mass and RGR also differed significantly among the 18 populations of M. malabathricum (F = 7.5, P < 0.001; F = 6.1, P < 0.001, for dry mass and RGR, respectively), but there was no evidence of a significant interaction of Al treatment and population for either growth measure.

Boxplots of final dry mass (mg) for seedlings (top panel) and mean (±SEM) relative growth rate (d−1) (lower panel) derived from 18 populations of Melastoma malabathricum across Peninsular Malaysia and grown in the absence or presence of 1 mM Al3+ in a nutrient solution.
Figure 1.

Boxplots of final dry mass (mg) for seedlings (top panel) and mean (±SEM) relative growth rate (d−1) (lower panel) derived from 18 populations of Melastoma malabathricum across Peninsular Malaysia and grown in the absence or presence of 1 mM Al3+ in a nutrient solution.

In Experiment 2, mean total dry mass (Fig. 2) and RGR (Fig. 3) differed significantly between the two populations and were greater for plants grown in solutions containing Al in concentrations up 2.0 mM AlCl3, and the response to Al concentration treatments differed significantly between the two populations [see Supporting Information—Tables S4  and  S5]. When Al was absent from the nutrient solution, dry mass and RGR of the two populations were similar, but both growth metrics increased in response to an increase in Al concentration up to maximum values for solutions containing 1.0 mM Al for the slow-growing population or 2.0 mM Al for the fast-growing population. For both populations, dry mass and RGR declined significantly below that of the no-addition control for seedlings grown in solutions containing 5.0 mM Al (Figs 2 and 3). The growth response to Al addition was much greater for seedlings of the faster growing population, which led to substantially higher values of these growth metrics in all Al addition treatments and maintenance of a growth response to Al up to the 2.0 mM Al treatment, despite the similar mean values for growth in the no-addition control treatment.

Boxplots of mean final dry mass M. malabathricum seedlings of slow-growing (white) and fast-growing (dark) populations after growth for 28 days in nutrient solutions containing 0 mM, 0.5 mM, 1.0 mM, 2.0 mM and 5.0 mM AlCl3.
Figure 2.

Boxplots of mean final dry mass M. malabathricum seedlings of slow-growing (white) and fast-growing (dark) populations after growth for 28 days in nutrient solutions containing 0 mM, 0.5 mM, 1.0 mM, 2.0 mM and 5.0 mM AlCl3.

Boxplots of final dry mass (mg) of seedlings of slow-growing (white) and fast-growing (dark) populations of M. malabathricum after growth for 28 days in nutrient solutions containing 0 mM, 0.5 mM, 1.0 mM, 2.0 mM or 5.0 mM AlCl3.
Figure 3.

Boxplots of final dry mass (mg) of seedlings of slow-growing (white) and fast-growing (dark) populations of M. malabathricum after growth for 28 days in nutrient solutions containing 0 mM, 0.5 mM, 1.0 mM, 2.0 mM or 5.0 mM AlCl3.

Biomass allocation

Across the 18 populations compared in Experiment 1, mean root mass ratio and stem mass ratio increased by 2.4 % (F = 6.99, P < 0.01) and 1.0 % (F = 4.51, P < 0.01), respectively, in response to the addition of 1.0 mM Al to the nutrient solution (Fig. 4; see Supporting Information—Table S6), while mean leaf mass ratio decreased by 3.4 % (F = 14.2, P < 0.001). All three mass ratios also differed significantly among populations, but the interaction of Al treatment and population was not significant in Experiment 1 [see Supporting Information—Table S6].

Boxplots of root mass ratio (RMR) (A), stem mass ratio (SMR) (B) and leaf mass ratio (LMR) (C) of seedlings derived from 18 populations of M. malabathricum across Peninsular Malaysia and grown for 28 days in the absence or presence of 1 mM Al3+ in a nutrient solution.
Figure 4.

Boxplots of root mass ratio (RMR) (A), stem mass ratio (SMR) (B) and leaf mass ratio (LMR) (C) of seedlings derived from 18 populations of M. malabathricum across Peninsular Malaysia and grown for 28 days in the absence or presence of 1 mM Al3+ in a nutrient solution.

A PCA based on population mean values of biomass allocation variables (RMR, SMR and LMR) for seedlings grown with Al addition uncovered a single axis explaining 66.8 % of the variation in the data and a second axis explaining 32.7 % of the variation (Fig. 5A; see Supporting Information—Table S7). The equivalent PCA for seedlings grown without Al addition displayed a first PC axis explaining 78.3 % of the variation and a second axis explaining a further 21.5 % of the variation (Fig. 5B; see Supporting Information—Table S8). In both cases, the dominant first axis largely represented differential allocation to roots vs. leaves, while the secondary axis represented differential allocation to stem mass. However, there were no significant correlations between axis scores along the first two principal components for biomass allocation and percentage stimulation of either dry mass (PC1: r = 0.194, P = 0.44; PC2: r = 0.422, P = 0.081) or relative growth rate (PC1: r = 0.409, P = 0.09; PC2: r = 0.301, P = 0.22) among populations in response to Al addition. Furthermore, there were no significant correlations between these mass allocation ratios and foliar Al concentrations among populations for seedlings that had been grown in the presence of Al (P > 0.05).

Biplots showing the distribution of 18 populations of M. malabathricum along principal component axes 1 and 2 from PCAs summarizing variation in biomass allocation variables (RMR, SMR and LMR) for seedlings grown for 28 days either (A) with Al addition or (B) without Al addition. In (A) PC1 and PC2 accounted for 66.8 and 32.7 % of the total variation, respectively, while in (B) PC1 and PC2 account for 78.3 and 21.5 % of the total variation, respectively.
Figure 5.

Biplots showing the distribution of 18 populations of M. malabathricum along principal component axes 1 and 2 from PCAs summarizing variation in biomass allocation variables (RMR, SMR and LMR) for seedlings grown for 28 days either (A) with Al addition or (B) without Al addition. In (A) PC1 and PC2 accounted for 66.8 and 32.7 % of the total variation, respectively, while in (B) PC1 and PC2 account for 78.3 and 21.5 % of the total variation, respectively.

For the two populations compared in Experiment 2, mean values of root mass ratio and stem mass ratio increased significantly in response to successive increases in the concentration of Al in the nutrient solution, while values of leaf mass ratio declined [see Supporting Information—Figures S2–S4]. However, there were no significant interactions observed between population and Al treatments, which supports the result from the first experiment that the response to Al treatments in terms of biomass allocation are similar in magnitude among populations [see Supporting Information—Table S9].

Foliar Al and nutrient concentrations

In the absence of Al addition, mean (±SEM) foliar Al concentration across the 18 populations of M. malabathricum in Experiment 1 was 0.17 ± 0.02 mg g-1, and showed limited variation among populations (Fig. 6). In response to the addition of 1.0 mM Al3+ to the nutrient solution mean foliar Al concentration increased to values in the range 2.8 ± 0.5 to 10.5 ± 2.8 mg g−1. A PCA based on population mean values of foliar concentrations of Al, P, K, Ca and Mg for seedlings grown with Al addition uncovered a first axis explaining 71.6 % of the variation in the data and a second axis explaining 20.0 % of variation (Fig. 7; see Supporting Information—Table S10). The first axis of this PCA was correlated positively with foliar concentrations of all five elements, and with mean RGR of M. malabathricum populations under Al addition (r = 0.52, P < 0.041).

Mean (± SEM) foliar Al concentrations in seedlings derived from 18 populations of Melastoma malabathricum collected in Peninsular Malaysia and grown for 28 days in the absence (grey bars) or presence (black bars) of 1 mM Al3+ in a nutrient solution. Populations are ranked from highest to lowest values of foliar Al concentration in the +Al treatment.
Figure 6.

Mean (± SEM) foliar Al concentrations in seedlings derived from 18 populations of Melastoma malabathricum collected in Peninsular Malaysia and grown for 28 days in the absence (grey bars) or presence (black bars) of 1 mM Al3+ in a nutrient solution. Populations are ranked from highest to lowest values of foliar Al concentration in the +Al treatment.

Biplot showing the distribution of 18 populations of M. malabathricum along principal component axes 1 and 2 from a PCA summarizing variation in foliar Al, P, K, Ca and Mg concentrations for seedlings grown with Al addition (1.0 mM AlCl3). PC1 and PC2 accounted for 71.6 and 20.0 % of the total variation, respectively. The arrows show the loadings of each variable on the first two principal component axes.
Figure 7.

Biplot showing the distribution of 18 populations of M. malabathricum along principal component axes 1 and 2 from a PCA summarizing variation in foliar Al, P, K, Ca and Mg concentrations for seedlings grown with Al addition (1.0 mM AlCl3). PC1 and PC2 accounted for 71.6 and 20.0 % of the total variation, respectively. The arrows show the loadings of each variable on the first two principal component axes.

Discussion

Growth responses to Al addition

This study confirms that growth of the Al accumulator M. malabathricum is stimulated by the presence of low concentrations of Al in the growth medium, but we extend previous research by showing that the magnitude of this response differs among populations of this Al accumulator. Faster growth rate among populations was associated with increased tolerance to higher external Al concentrations and to higher foliar concentrations of Al, P, K, Ca and Mg, which may have been supported by increased allocation to root and stem biomass in response to Al addition.

M. malabathricum seedlings grown in the presence of Al in the nutrient solution doubled in dry mass over 28 days relative to seedlings grown in the absence of Al and displayed 14 % greater relative growth rate over a similar interval. These findings are consistent with positive growth responses to Al addition in previous studies on M. malabathricum (Osaki et al. 1997; Watanabe et al. 2005; Metali 2010) and other Al accumulators such as tea (Camelia sinensis) (Konishi et al. 1985; Fung et al. 2008; Morita et al. 2008; Hajiboland et al. 2013; Tolrà et al. 2020), as well non Al accumulators such as Miscanthus sinensis (Yoshii 1937) and Eucalyptus gummifera (Mullette 1975). In our experiments with M. malabathricum, the beneficial effect of Al on growth occurred when Al was supplied at concentrations of 0.5 mM, 1.0 mM and 2.0 mM Al in the nutrient solutions, which is similar to the evidence showing growth stimulation of tea seedlings in nutrient solutions containing 0.25 mM and 0.5 mM Al (Konishi et al. 1985; Fung et al. 2008).

Several mechanisms have been proposed to explain this positive growth response to Al addition. Recent suggestions are that Al ameliorates H+ toxicity for plants growing in acid soils (Osaki et al. 1997; Kidd and Proctor 2001; Delhaize et al. 2012) or that Al alleviates Fe toxicity (Watanabe et al. 2005; Hajiboland et al. 2013; Poschenrieder et al. 2015). The general symptoms of Fe toxicity include inhibition of leaf function and a reduction in photosynthetic rate (Kampfenkel et al. 1995), arising from oxidative stress and disruption of membrane functions associated with lipid peroxidation and lignin deposition in roots (Watanabe et al. 2006). Evidence in favour of this hypothesis was provided by Hajiboland et al. (2013) who showed that Fe concentrations were reduced in the roots and leaves of tea plants grown hydroponically with the addition of 200 µM Al, which then led to the stimulation of tea growth. There is a suggestion that M. malabathricum expresses symptoms of Fe toxicity in response to low concentrations (i.e. 40 µm) of Fe in nutrient solutions, and that Al addition reduces tissue Fe concentrations and relieves these symptoms (Watanabe et al. 2006). The Fe concentration in the nutrient solution used in our experiments (20 µm) was closer to the Fe concentration treatment for which Al addition did not relieve symptoms of Fe toxicity in M. malabathricum (10 µm) than the treatment that did so (100 µm) in Watanabe et al. (2006), and we observed no symptoms of Fe toxicity in seedlings in the presence or absence of Al addition. However, it remains possible that interactions between Al and Fe contributed to the growth response to Al addition that we observed.

A second potential mechanism for growth stimulation by Al addition arises from the observation that Al addition in low concentrations increases photosynthetic rates as well as the length and surface area of roots in tea plants (Hajiboland et al. 2013). These changes may facilitate enhanced uptake of limiting soil nutrients and thus contribute to the growth response (Mukhopadyay et al. 2012; Hajiboland et al. 2013). This interpretation is consistent with our earlier finding that Al addition increased concentrations of P, K, Ca and Mg in M. malabathricum seedlings (Khairil and Burslem 2018) and the results reported in this paper showing that populations expressing a higher growth rate in response to Al addition had higher foliar concentrations of these nutrients.

The results of the first experiment suggested that growth rates varied among the 18 populations, but they had the same magnitude of response to Al addition. However, this absence of evidence for an interaction between population and Al treatment is likely to reflect the low statistical power of this experiment, which was based on only three replicates per population and only two Al treatments. This was examined in greater depth in the second experiment, in which replication was doubled and the number of Al treatments increased to five across a range of concentrations from 0 to 5 mM. The increased resolution of this experiment uncovered a significant interaction between population and Al treatment showing that the faster-growing population had a greater magnitude of response to Al addition and a requirement for higher Al concentrations in the growth medium to achieve maximum growth rates. These findings reinforce the conclusion that inherent differences in growth rate among populations are linked to responsiveness to Al supply. Population-level differentiation in seedling growth responses to Al addition has not been addressed previously, but is likely to arise from variation in the genetic factors underlying the expression of Al accumulation and phenotypic plasticity in the traits that determine growth rate (Pressoir and Berthaud 2004; Andrew et al. 2010). For M. malabathricum, our study shows that variation in growth rate among populations was positively correlated with increasing foliar Al and nutrient concentrations, while there was no evidence that differentiation in biomass allocation was directly responsible for differential growth rates. These results suggest that the physiological determinants of variation in growth rate and Al accumulation among populations are linked to enhanced nutrient capture, which supports similar evidence obtained using a single population of M. malabathricum (Watanabe et al. 1997, 2006; Watanabe and Osaki 2001) as well as other plant species (Ghanati et al. 2005; Fung et al. 2008; Hajiboland et al. 2013; Tolra et al. 2020). Although genetic differentiation among populations of Al accumulators has not been studied, evidence from studies of other metal hyper-accumulators is available (Assunção et al. 2003, 2008; Andrew et al. 2010; Halimaa et al. 2014). For example, genetic variation among populations of Thlaspi caerulescens contributes to their differential capacity to accumulate and tolerate soil Zn and Cd concentrations (Assunção et al. 2003, 2008; Halimaa et al. 2014). Further research is required to determine how genetic variation contributes to co-varying physiological differences in Al accumulation, growth rate and nutrient uptake among populations of M. malabathricum and other Al accumulators.

Responses to Al addition in terms of biomass allocation provide important insights into the physiological mechanisms regulating the stimulation of growth rate in M. malabathricum. Al addition resulted in increases in biomass allocation to roots (2.4 %) and stems (1.0 %) and a decrease in mass allocation to leaves (−3.4 %). Other studies on M. malabathricum have also demonstrated that Al addition results in diversion of dry mass to roots, as well as increases in root activity, root elongation, expansion of fine roots and activation of citrate synthase in roots (Watanabe et al. 2005, Metali 2010). This expansion of root mass and root surface area may help to explain the stimulation of nutrient uptake by Al addition in Al accumulators including both M. malabathricum and tea (Ghanati et al. 2005; Hajiboland et al. 2013; Khairil and Burslem 2018). Similarly, Al addition induces elongation of central cap cells and root elongation in tea plants (Konishi et al. 1985; Fung et al. 2008). These uniform patterns of growth stimulation and modification of biomass distribution in response to the addition of similar low concentrations of Al in two highly dissimilar species of Al accumulator suggests that there may be a common physiological mechanism underlying the response.

For the expansion of root systems to occur alongside a stimulation of growth in M. malabathricum there must be compensatory increases in carbon assimilation rate per unit of photosynthetic leaf mass. This was not examined in our study, but Metali (2010) reported that an increase in growth in response to Al addition was associated with substantial increases in net assimilation rate (NAR) and smaller increases in specific leaf area (SLA) in M. malabathricum, which supports this prediction. Research on tea has also revealed a positive effect of Al addition on rates of photosynthesis (Ghanati et al. 2005; Hajiboland et al. 2013), which would explain the increase in net assimilation rate per unit leaf area if a similar response occurred in M. malabathricum.

Al toxicity at high concentrations

Seedlings of both populations of M. malabathricum displayed retarded growth at a concentration of 5.0 mM Al in the nutrient solution, which suggests that they were experiencing Al toxicity symptoms at this concentration, whereas growth was stimulated at a concentration of 2.0 mM Al in the nutrient solution. Therefore, M. malabathricum is more tolerant of high Al concentrations than tea, which displays reduction of growth at Al concentrations in the medium greater than 1.0 mM and defoliation at concentrations of 5.0 and 10 mM Al (Fung et al. 2008; Mukhopadyay et al. 2012). Growth reductions at high Al concentrations in tea may be caused by rhizotoxicity, where Al binds to plasma membranes in cell walls of the sensitive root apex zone (Kochian et al. 2004; Fung et al. 2008; Horst et al. 2010; Mukhopadyay et al. 2012). High Al concentrations in the rhizosphere may also cause a reduction in nutrient uptake through effects on the net extrusion of H+ by plasma membrane ATPase leading to decreases in the loading of polyvalent cations (Rengel 1996; Poschenrieder et al. 2008). These studies suggest that the limit to tolerance of high Al by Al accumulators is determined by effects on root metabolism and nutrient uptake (Konishi et al. 1985; Fung et al. 2008; Horst et al. 2010; Mukhopadyay et al. 2012).

Al accumulation in M. malabathricum

The status of M. malabathricum as an Al accumulator plant was supported by this study (Chenery 1948; Jansen 2002; Watanabe et al. 2005, 2008) and we build on this finding by demonstrating significant inter-population differences in the magnitude of Al accumulation and the linkages among Al accumulation, growth rate and foliar nutrient concentrations. Our previous research has shown that for M. malabathricum seedlings grown in nutrient solutions with Al, foliar Al concentration was positively correlated with foliar Ca, K and Mg concentrations among the same 18 populations examined here (Khairil and Burslem 2018). This finding is consistent with studies showing increased uptake of P, Ca, K and Mg concentrations in response to Al addition in both M. malabathricum (Watanabe et al. 2005, Metali 2010, Khairil and Burslem 2018) and tea (Fung et al. 2008). The consistent pattern of association among these foliar elements for multiple populations and species of Al accumulators suggests that there may be a common underlying uptake mechanism for these elements (Masunaga et al. 1998; Metali et al. 2015). The relationship between the single strong axis of variation in foliar nutrient concentrations to seedling growth rate reported in this paper suggests that the Al-induced stimulation of both nutrient uptake and growth rate may be physiologically coupled in M. malabathricum.

Conclusions

We conclude that populations of the Al accumulator M. malabathricum have adapted to express a physiological response to Al concentration in the growth medium, which leads to a stimulation of growth. The growth stimulation is associated with enhanced uptake of nutrients including P, Ca, K and Mg, which differed among populations of this species and may have a genetic basis. Al addition triggered an enhanced allocation of dry mass to roots at the expense of leaves, which must be coupled with faster rates of carbon assimilation per unit leaf mass in order to generate a growth response to Al addition.

Supporting Information

The following additional information is available in the online version of this article —

Table S1. Mean (±SE) foliar Al concentration (mg g−1) in the Al+ treatment, relative growth rate (RGR, day−1) in Al+ and Al− treatments, difference in mean RGR between treatments (day−1) and growth stimulation in the Al+ treatment (as a % of the Al− treatment) for 18 Melastoma malabathricum populations with 1.0 mM AlCl3 (Al+ treatment) or without Al addition (Al−) in the nutrient solution. The populations are ranked based on foliar Al concentration in the Al+ treatment.

Table S2. Mean square values (MS), F statistics and P values following two-way analysis of variance (ANOVA) to determine the significance of differences among populations (Population), Al treatments (Treatment) and the interaction between population and Al treatment on the dry mass of roots, stems, leaves and whole plants for seedlings of 18 populations of M. malabathricum grown with and without Al application. The significance of these values is indicated as follows: *, P < 0.05; **, P < 0.01; ***, P < 0.001.

Table S3. Mean square values (MS), F statistics and P values following two-way analysis of variance (ANOVA) to determine the significance of differences among populations (Population), Al treatments (Treatment) and the interaction between population and Al treatment on relative growth rate (RGR) of roots, stems, leaves and whole plants for seedlings of 18 populations of M. malabathricum grown with and without Al application. The significance of these values is indicated as follows: *, P < 0.05; **, P < 0.01; ***, P < 0.001.

Table S4. Mean square values (MS), F statistics and P values following two-way analysis of variance (ANOVA) to determine the significance of differences among populations (Population), Al treatments (Treatment) and the interaction between population and Al treatment on the dry mass of roots, stems, leaves and whole plants for seedlings of slow-growing and fast-growing populations of M. malabathricum grown for 28 days in nutrient solutions containing 0 mM, 0.5 mM, 1.0 mM, 2.0 mM or 5.0 mM AlCl3. The significance of these values is indicated as follows: *, P < 0.05; **, P < 0.01; ***, P < 0.001.

Table S5. Mean square values (MS), F statistics and P values following two-way analysis of variance (ANOVA) to determine the significance of differences among populations (Population), Al treatments (Treatment) and the interaction between population and Al treatment on the relative growth rate (RGR) of roots, stems, leaves and whole plants for seedlings of slow-growing and fast-growing populations of M. malabathricum grown for 28 days in nutrient solutions containing 0 mM, 0.5 mM, 1.0 mM, 2.0 mM or 5.0 mM AlCl3. The significance of these values is indicated as follows: *, P < 0.05; **, P < 0.01; ***, P < 0.001.

Table S6. Mean square values (MS), F statistics and P values following two-way analysis of variance (ANOVA) to determine the significance of differences among populations (Population), Al treatments (Treatment) and the interaction between population and Al treatment on root mass ratio (RMR), stem mass ratio (SMR) and leaf mass ratio (LMR) for seedlings of 18 populations of M. malabathricum grown with and without Al application. The significance of these values is indicated as follows: *, P < 0.05; **, P < 0.01; ***, P <0.001.

Table S7. Mean square values (MS), F statistics and P values following two-way analysis of variance (ANOVA) to determine the significance of differences among populations (Population), Al treatments (Treatment) and the interaction between population and Al treatment on root mass ratio (RMR), stem mass ratio (SMR) and leaf mass ratio (LMR) for seedlings of slow-growing and fast-growing populations of M. malabathricum grown for 28 days in nutrient solutions containing 0 mM, 0.5 mM, 1.0 mM, 2.0 mM or 5.0 mM AlCl3. The significance of these values is indicated as follows: *, P < 0.05; **, P < 0.01; ***, P < 0.001.

Table S8. Results from a principal components analysis (PCA) summarizing variation in biomass allocation among seedlings derived from 18 populations of M. malabathricum grown for 28 days with Al addition.

Table S9. Results from a principal components analysis (PCA) summarizing variation in biomass allocation among seedlings derived from 18 populations of M. malabathricum grown without Al addition.

Table S10. Results from a principal components analysis (PCA) summarizing variation in foliar concentrations among seedlings derived from 18 populations of M. malabathricum grown for 28 days with Al addition.

Figure S1. Locations of the 18 Melastoma malabathricum populations sampled for this study.

Figure S2. Boxplots of leaf mass ratio (LMR) of M. malabathricum seedlings of the slow-growing population (white panel) and fast-growing population (dark panel) after growth for 28 days in nutrient solutions containing 0 mM, 0.5 mM, 1.0 mM, 2.0 mM and 5.0 mM AlCl3.

Figure S3. Boxplots of stem mass ratio (SMR) of M. malabathricum seedlings of the slow-growing population (white panel) and fast-growing population (dark panel) after growth for 28 days in nutrient solutions containing 0 mM, 0.5 mM, 1.0 mM, 2.0 mM and 5.0 mM AlCl3.

Figure S4. Boxplots of root mass ratio (RMR) of M. malabathricum seedlings of the slow-growing population (white panel) and fast-growing population (dark panel) after growth for 28 days in nutrient solutions containing 0 mM, 0.5 mM, 1.0 mM, 2.0 mM and 5.0 mM AlCl3.

Data Availability

The data underlying this study are published as open access at the Drayd.org (https://doi.org/10.5061/dryad.gqnk98sk7)

Sources of Funding

This research was funded by Ministry of Higher Education of Malaysia (MOHE) under SLAB/SLAI scheme and University of Aberdeen research grant.

Conflict of Interest

None declared.

Acknowledgements

The authors are grateful to Dr Weitz Hedda, Dr John Danku and Mr. David Hadwen for their help during this research.

Form & Function. Chief Editor: Kate McCulloh

Literature Cited

Andrew
 
RL
,
Wallis
 
IR
,
Harwood
 
CE
,
Foley
 
WJ
.
2010
.
Genetic and environmental contributions to variation and population divergence in a broad-spectrum foliar defence of Eucalyptus tricarpa
.
Annals of Botany
 
105
:
707
717
.

Assunção
 
AGL
,
Bookum
 
WM
,
Nelissen
 
HJM
,
Vooijs
 
R
,
Schat
 
H
,
Ernst
 
WHO
.
2003
.
Differential metal-specific tolerance and accumulation patterns among Thlaspi caerulescens populations originating from different soil types
.
New Phytologist
 
159
:
411
419
.

Assunção
 
aGL
,
Bleeker
 
P
,
ten Bookum
 
WM
,
Vooijs
 
R
,
Schat
 
H
.
2008
.
Intraspecific variation of metal preference patterns for hyperaccumulation in Thlaspi caerulescens: evidence from binary metal exposures
.
Plant and Soil
 
303
:
289
299
.

Barceló
 
J
,
Poschenrieder
 
C
.
2002
.
Fast root growth responses, root exudates, and internal detoxification as clues to the mechanisms of aluminium toxicity and resistance: a review
.
Environmental and Experimental Botany
 
48
:
75
92
. doi:10.1016/S0098-8472(02)00013-8

Chenery
 
EM
.
1948
.
Aluminium in the plant world author
.
Royal Botanic Gardens
 
3
:
173
183
.

Clark
 
RB
.
1977
.
Effect of aluminium on growth and mineral elements of Al-tolerant and Al-intolerant corn
.
Plant and Soil
 
2
:
653
662
.

Delhaize
 
E
,
Ma
 
JF
,
Ryan
 
PR
.
2012
.
Transcriptional regulation of aluminium tolerance genes
.
Trends in Plant Science
 
17
:
341
348
.

Doncheva
 
S
.
2005
.
Root cell patterning: a primary target for aluminium toxicity in maize
.
Journal of Experimental Botany
 
56
:
1213
1220
. doi:10.1093/jxb/eri115

Fung
 
KF
,
Carr
 
HP
,
Zhang
 
J
,
Wong
 
MH
.
2008
.
Growth and nutrient uptake of tea under different aluminium concentrations
.
Journal of Science of Food and Agriculture
 
1591
:
1582
1591
. doi:10.1002/jsfa

Ghanati
 
F
,
Morita
 
A
,
Yokota
 
H
.
2005
.
Effects of aluminum on the growth of tea plant and activation of antioxidant system
.
Plant and Soil
 
276
:
133
141
. doi:10.1007/s11104-005-3697-y

Godbold
 
DL
,
Fritz
 
E
,
Hüttermann
 
A
.
1988
.
Aluminum toxicity and forest decline
.
Proceedings of the National Academy of Sciences of the United States of America
 
85
:
3888
3892
.

Hajiboland
 
R
,
Bahrami Rad
 
S
,
Barcelo
 
J
,
Poschenrieder
 
C
.
2013
.
Mechanisms of aluminum-induced growth stimulation in tea (Camellia sinensis)
.
Journal of Plant Nutrition and Soil Science
 
176
:
616
625
. doi:10.1002/jpln.201200311

Halimaa
 
P
,
Blande
 
D
,
Aarts
 
MG
,
Tuomainen
 
M
,
Tervahauta
 
A
,
Kärenlampi
 
S
.
2014
.
Comparative transcriptome analysis of the metal hyperaccumulator Noccaea caerulescens
.
Frontiers in Plant Science
 
5
:
213
.

Horst
 
WJ
,
Wang
 
Y
,
Eticha
 
D
.
2010
.
The role of the root apoplast in aluminium-induced inhibition of root elongation and in aluminium resistance of plants: a review
.
Annals of Botany
 
106
:
185
197
.

Hunt
 
R
.
1982
.
Plant growth curves: the functional approach to plant growth analysis
.
London, UK
:
Edward Arnold
. doi:10.1093/aob/mcf214

Jansen
 
S
.
2002
.
Aluminum hyperaccumulation in angiosperms : a review of its phylogenetic significance
.
The Botanical Review
 
68
:
235
269
.

Jansen
 
S
.
2003
.
A comparative study of metal levels in leaves of some Al-accumulating Rubiaceae
.
Annals of Botany
 
91
:
657
663
. doi:10.1093/aob/mcg071

Jansen
 
S
,
Watanabe
 
T
,
Smets
 
E
.
2002
.
Aluminium accumulation in leaves of 127 species in Melastomataceae, with comments on the order Myrtales
.
Annals of Botany
 
90
:
53
64
.

Joffry
 
SM
,
Yob
 
NJ
,
Rofiee
 
MS
,
Affandi
 
MM
,
Suhaili
 
Z
,
Othman
 
F
,
Akim
 
AM
,
Desa
 
MN
,
Zakaria
 
ZA
.
2012
.
Melastoma malabathricum (L.) Smith ethnomedicinal uses, chemical constituents, and pharmacological properties: a review
.
Evidence-Based Complementary and Alternative Medicine: Ecam
 
2012
:
258434
.

Kampfenkel
 
K
,
Van Montagu
 
M
,
Inze
 
D
.
1995
.
Effects of iron excess on nicotiana plumbaginifolia plants (implications to oxidative stress)
.
Plant Physiology
 
107
:
725
735
.

Khairil
 
M
,
Burslem
 
DFRP
.
2018
.
Controls on foliar aluminium accumulation among populations of the tropical shrub Melastoma malabathricum L. (Melastomataceae)
.
Tree Physiology
 
38
:
1752
1760
.

Kidd
 
PS
,
Proctor
 
J
.
2001
.
Why plants grow poorly on very acid soils: are ecologists missing the obvious?
 
Journal of Experimental Botany
 
52
:
791
799
. doi:10.1093/jexbot/52.357.791

Kochian
 
LV
,
Hoekenga
 
OA
,
Pineros
 
MA
.
2004
.
How do crop plants tolerate acid soils? Mechanisms of aluminum tolerance and phosphorous efficiency
.
Annual Review of Plant Biology
 
55
:
459
493
.

Konishi
 
S
,
Miyamoto
 
S
,
Taki
 
T
.
1985
.
Stimulatory effects of aluminum on tea plants grown under low and high phosphorus supply
.
Soil Science and Plant Nutrition
 
31
:
361
368
. doi:10.1080/00380768.1985.10557443

Masunaga
 
T
,
Kubota
 
D
,
Hotta
 
M
,
Wakatsuki
 
T
.
1998
.
Mineral composition of leaves and bark in aluminum accumulators in a tropical rain forest in Indonesia
.
Soil Science and Plant Nutrition
 
44
:
347
358
. doi:10.1080/00380768.1998.10414456

Metali
 
FH
.
2010
.
Factors controlling Al accumulation in plants : effects of phylogeny, soil conditions and external nutrient supply
. PhD Thesis,
University of Aberdeen, UK
.

Metali
 
F
,
Abu Salim
 
K
,
Tennakoon
 
K
,
Burslem
 
DF
.
2015
.
Controls on foliar nutrient and aluminium concentrations in a tropical tree flora: phylogeny, soil chemistry and interactions among elements
.
The New Phytologist
 
205
:
280
292
.

Metali
 
F
,
Salim
 
KA
,
Burslem
 
DF
.
2012
.
Evidence of foliar aluminium accumulation in local, regional and global datasets of wild plants
.
The New Phytologist
 
193
:
637
649
.

Morita
 
A
,
Yanagisawa
 
O
,
Takatsu
 
S
,
Maeda
 
S
,
Hiradate
 
S
.
2008
.
Mechanism for the detoxification of aluminum in roots of tea plant (Camellia sinensis (L.) Kuntze)
.
Phytochemistry
 
69
:
147
153
.

Mukhopadyay
 
M
,
Bantawa
 
P
,
Das
 
A
,
Sarkar
 
B
,
Bera
 
B
,
Ghosh
 
P
,
Mondal
 
TK
.
2012
.
Changes of growth, photosynthesis and alteration of leaf antioxidative defence system of tea [Camellia sinensis (L.) O. Kuntze] seedlings under aluminum stress
.
Biometals: An International Journal on the Role of Metal Ions in Biology, Biochemistry, and Medicine
 
25
:
1141
1154
.

Mullette
 
KJ
.
1975
.
Stimulation of growth in Eucalyptus due to aluminium
.
Plant and Soil
 
42
:
495
499
. doi:10.1007/BF00010026

Osaki
 
M
,
Watanabe
 
T
,
Ishizawa
 
T
.
2003
.
Nutritional characteristics of the leaves of native plants
.
Plant Foods for Human Nutrition
 
58
:
93
115
.

Osaki
 
M
,
Watanabe
 
T
,
Tadano
 
T
.
1997
.
Beneficial effect of aluminum on growth of plants adapted to low pH soils
.
Soil Science and Plant Nutrition
 
43
:
551
563
.

Poschenrieder
 
C
,
Gunsé
 
B
,
Corrales
 
I
,
Barceló
 
J
.
2008
.
A glance into aluminum toxicity and resistance in plants
.
The Science of the Total Environment
 
400
:
356
368
.

Poschenrieder
 
C
,
TBarcelo
 
J
,
Hajiboland
 
R
,
Arroyave
 
C
.
2015
.
Mechanism of hyper-resistance and hyper-tolerance to aluminium in plants, Vol. 24
.
Panda S and Baluska F
, eds.
Switzerland
:
Springer International Publishing
. doi:10.1007/978-3-319-19968-9

Pressoir
 
G
,
Berthaud
 
J
.
2004
.
Population structure and strong divergent selection shape phenotypic diversification in maize landraces
.
Heredity
 
92
:
95
101
.

R Development Core Team
 
2016
.
R: a language and environment for statistical computing
.
Vienna, Austria
:
R Foundation for Statistical Computing
.

R’bia
 
O
,
Horchani
 
F
,
Smida
 
I
,
Mejri
 
M
,
Aschi-Smiti
 
S
.
2011
.
Aluminium phytotoxicity and plant acclimation to acidic soils
.
International Journal of Agricultural Research
,
6
:
194
208
. doi:10.3923/ijar.2011.194.208

Rascio
 
N
,
Navari-Izzo
 
F
.
2011
.
Heavy metal hyperaccumulating plants: how and why do they do it? And what makes them so interesting?
 
Plant Science: An International Journal of Experimental Plant Biology
 
180
:
169
181
.

Rengel
 
Z
.
1996
.
Tansley review no 89—Uptake of aluminium by plant cells
.
New Phytologist
 
134
:
389
406
.

Ryan
 
PR
,
Ditomaso
 
JM
,
Kochian
 
LV
.
1993
.
Aluminium toxicity in roots: an investigation of spatial sensitivity and the role of the root cap
.
Journal of Experimental Botany
 
44
:
437
446
. doi:10.1093/jxb/44.2.437

Schmitt
 
M
,
Boras
 
S
,
Tjoa
 
A
,
Watanabe
 
T
,
Jansen
 
S
.
2016
.
Aluminium accumulation and intra-tree distribution patterns in three Arbor aluminosa (Symplocos) species from central Sulawesi
.
Plos ONE
 
11
:
e0149078
.

Sharma
 
HK
,
Chhangte
 
L
,
Dolui
 
AK
.
2001
.
Traditional medicinal plants in Mizoram, India
.
Fitoterapia
 
72
:
146
161
.

de Souza
 
MC
,
Habermann
 
G
,
Amaral
 
CL
,
Rosa
 
AL
,
Pinheiro
 
MHO
,
Da Costa
 
FB
.
2017
.
Vochysia tucanorum Mart.: an aluminum-accumulating species evidencing calcifuge behavior
.
Plant Soil
 
419
:
377
389
.

de Souza
 
MC
,
Williams
 
TCR
,
Poschenrieder
 
C
,
Jansen
 
S
,
Pinheiro
 
MHO
,
Soares
 
IP
,
Franco
 
AC
.
2020
.
Calcicole behaviour of Callisthene fasciculata Mart., an Al-accumulating species from the Brazilian Cerrado
.
Plant Biology (Stuttgart, Germany)
 
22
:
30
37
.

Tolrà
 
R
,
Martos
 
S
,
Hajiboland
 
R
,
Poschenrieder
 
C
.
2020
.
Aluminium alters mineral composition and polyphenol metabolism in leaves of tea plants (Camellia sinensis)
.
Journal of Inorganic Biochemistry
 
204
:
110956
.

Watanabe
 
T
,
Jansen
 
S
,
Osaki
 
M
.
2005
.
The beneficial effect of aluminium and the role of citrate in Al accumulation in Melastoma malabathricum
.
The New Phytologist
 
165
:
773
780
.

Watanabe
 
T
,
Jansen
 
S
,
Osaki
 
M
.
2006
.
Al–Fe interactions and growth enhancement in Melastoma malabathricum and Miscanthus sinensis dominating acid sulphate soils
.
Plant, Cell and Environment
 
29
:
2124
2132
. doi:10.1111/j.1365-3040.2006.01586.x

Watanabe
 
T
,
Osaki
 
M
.
2001
.
Influence of aluminum and phosphorus on growth and xylem sap composition in Melastoma malabathricum L
.
Plant and Soil
 
237
:
63
70
. doi:10.1023/A:1013395814958

Watanabe
 
T
,
Osaki
 
M
.
2002
.
Mechanisms of adaptation to high aluminum condition in native plant species growing in acid soils: a review
.
Communications in Soil Science and Plant Analysis
 
33
:
1247
1260
. doi:10.1081/CSS-120003885

Watanabe
 
T
,
Osaki
 
M
,
Tadano
 
T
.
1997
.
Aluminum-induced growth stimulation in relation to calcium, magnesium, and silicate nutrition in Melastoma malabathricum L
.
Soil Science and Plant Nutrition
 
43
:
827
837
. doi:10.1080/00380768.1997.10414649

Watanabe
 
T
,
Osaki
 
M
,
Yoshihara
 
T
,
Tadano
 
T
.
1998
.
Distribution and chemical speciation of aluminum in the Al accumulator plant, Melastoma malabathricum L
.
Plant and Soil
 
201
:
165
173
.

Watanabe
 
T
,
Misawa
 
S
,
Hiradate
 
S
,
Osaki
 
M
.
2008
.
Root mucilage enhances aluminum accumulation in Melastoma malabathricum, an aluminum accumulator
.
Plant Signaling & Behavior
 
3
:
603
605
.

Yoshii
 
Y
.
1937
.
Aluminium requirements of solfatara-plants
.
The Botanical Magazine
 
1
:
262
270
. doi:10.1007/s13398-014-0173-7.2

This is an Open Access article distributed under the terms of the Creative Commons Attribution License 
(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in 
any medium, provided the original work is properly cited.
Associate Editor: Wen-Hao Zhang
Wen-Hao Zhang
Associate Editor
Search for other works by this author on:

Comments

0 Comments
Submit a comment
You have entered an invalid code
Thank you for submitting a comment on this article. Your comment will be reviewed and published at the journal's discretion. Please check for further notifications by email.