Manipulating exudate composition from root apices shapes the microbiome throughout the root system

Abstract

Certain soil microorganisms can improve plant growth, and practices that encourage their proliferation around the roots can boost production and reduce reliance on agrochemicals. The beneficial effects of the microbial inoculants currently used in agriculture are inconsistent or short-lived because their persistence in soil and on roots is often poor. A complementary approach could use root exudates to recruit beneficial microbes directly from the soil and encourage inoculant proliferation. However, it is unclear whether the release of common organic metabolites can alter the root microbiome in a consistent manner and if so, how those changes vary throughout the whole root system. In this study, we altered the expression of transporters from the ALUMINUM-ACTIVATED MALATE TRANSPORTER and the MULTIDRUG AND TOXIC COMPOUND EXTRUSION families in rice (Oryza sativa L.) and wheat (Triticum aestivum L.) and tested how the subsequent release of their substrates (simple organic anions, including malate, citrate, and γ-amino butyric acid) from root apices affected the root microbiomes. We demonstrate that these exudate compounds, separately and in combination, significantly altered microbiome composition throughout the root system. However, the root type (seminal or nodal), position along the roots (apex or base), and soil type had a greater influence on microbiome structure than the exudates. These results reveal that the root microbiomes of important cereal species can be manipulated by altering the composition of root exudates, and support ongoing attempts to improve plant production by manipulating the root microbiome.

One-sentence summary: The root microbiome of rice and wheat can be manipulated by altering the activity of root transporters and exudates.

Introduction

Roots alter the physical and chemical properties of the soil immediately surrounding them. One of the most important drivers of these changes is rhizodeposition, which encompasses all materials released and shed from roots, including water-soluble exudates, sloughed-off cells, mucilages, dead tissues, and gases. Microorganisms in the soil able to utilize these organic substrates tend to proliferate on the roots and rhizosphere (Bais et al., 2006). Therefore, the structure of the microbial communities near roots will depend, in part, on the composition of exudates and other rhizodeposits (Bulgarelli et al., 2012, 2015; Chaluvadi and Bennetzen, 2018).

A small proportion of microorganisms in the rhizosphere can benefit the host plant by improving nutrient availability, suppressing the colonization of pathogens, or by releasing compounds with phytohormone-like activity that stimulates growth (Beneduzi et al., 2012; Chaluvadi and Bennetzen, 2018; Kudoyarova et al., 2019; Mohanram and Kumar, 2019). Strategies that encourage the proliferation of these beneficial microorganisms can potentially boost productivity without the use of agrochemicals (Vessey, 2003; Ryan et al., 2009a). Rhizobia, mycorrhizal fungi, and Trichoderma are examples of plant growth-promoting rhizobacteria and beneficial fungi that are already utilized in agriculture and horticulture. They are usually applied by inoculating the soil or coating the seed prior to sowing (Deaker et al., 2004; Thapa et al., 2020). However, the success of these “biologicals” is inconsistent and often short-lived because competition with other microorganisms or unfavorable soil conditions can negatively impact their persistence in soil and around roots (Castro-Sowinski et al., 2007).

An alternative strategy for manipulating the root microbiome, and one that could complement current practices, utilizes root exudates to recruit microorganisms from the bulk soil and/or promote the proliferation of inoculants (Wu et al., 2018). The advantages of this approach are: (1) exudates are deposited at the root-soil interface where they are most likely to impact microbial growth; (2) varying the composition of exudates can alter the structure of the root microbiome; (3) the release of substrates throughout the host's lifecycle will maintain selection pressure on the microbial communities; and (4) conventional breeding methods or biotechnology can be used to alter the composition of exudates either by changing the expression of transporter proteins or metabolic pathways (Delhaize et al., 2007; Badri et al., 2008).

Previous studies have provided a proof-of-principle that root exudates, and especially secondary metabolites like flavonoids and triterpenes, can shape the microbial communities near roots (Soedarjo and Borthakur, 1996; Oger et al., 2004; Badri et al., 2008; White et al., 2017; Stringlis et al., 2018; Cotton et al., 2019; Huang et al., 2019; Koprivova et al., 2019; Voges et al., 2019). What has not been investigated in these studies, or elsewhere, is whether the changes are uniform over the whole root system or restricted to certain regions. Moreover, most root exudates are not complex secondary metabolites but low molecular weight compounds such as sugars, organic acids, and amino acids that are ready sources of nutrition for many microorganisms (Bacilio-Jiménez et al., 2003; Walker et al., 2003a, 2003b; Wang et al., 2006; Oburger et al., 2009; Tawaraya et al., 2014; Kawasaki et al., 2016; Mönchgesang et al., 2016; Warren, 2016; Kawasaki et al., 2018). Previous studies that have attempted to link these exudates with changes to the root microbiome (Tesfaye et al., 2003; Rudrappa et al., 2008) have not examined the spatial variation of these changes.

This study used rice (Oryza sativa L.) and wheat (Triticum aestivum L.) lines that vary in the expression of transporters encoded by the ALUMINUM-ACTIVATED MALATE TRANSPORTER (ALMT) and the MULTIDRUG AND TOXIC COMPOUND EXTRUSION (MATE) families. We chose these transporters because the substrates they release from roots are common metabolites that are present in all plant cells. This means that the outcomes from these studies are likely to be relevant to other plant species. One of these transporters in wheat is encoded by TaALMT1, which was initially characterized as an aluminum (Al³⁺)-tolerance gene (Sasaki et al., 2004). Al³⁺ toxicity is the main factor limiting plant production on acidic soils because these cations inhibit root growth at low concentrations (Kinraide and Parker, 1989; Kochian, 1995). The Al³⁺ tolerance of some plant species, and the considerable intraspecific variation in tolerance displayed, often relies on the release of simple organic anions (malate and citrate) from the root apices that bind with, and detoxify, the harmful Al³⁺ (Ma et al., 2001; Ryan and Delhaize, 2010). TaALMT1 encodes an anion channel that is expressed in the root apices of wheat roots and the protein is activated by the Al³⁺ cations present in acidic soils to release malate, γ-amino butyric acid (GABA), and other substrates (Sasaki et al., 2004; Piñeros et al., 2008; Zhang et al., 2008; Kawasaki et al., 2018; Ramesh et al., 2018). TaMATE1B controls a second mechanism for Al³⁺ tolerance in wheat. It encodes a citrate transporter from the MATE family, and a naturally occurring mutation in some genotypes results in a constitutive release of citrate from the root apices (Ryan et al., 2009b; Tovkach et al., 2013). Prior to this study, citrate release via TaMATE1B had only been confirmed from the seminal roots of young wheat seedlings. OsALMT4 is a member of the ALMT family of anion channels in rice, and transgenic lines over-expressing OsALMT4 display a constitutive release of malate and other substrates from the roots (Liu et al., 2017, 2018).

This study examined whether the microbial communities on the roots of rice and wheat can be manipulated in a consistent manner by altering the activity of membrane transporters and the release of organic exudates. We also assessed how exudates from the root apices shifted the microbiome structure throughout the root system.

Results

The aims of each experiment in this study and a description of the plant materials used are summarized in Table 1.

Table 1.

Aims of each experiment listing the transporters, plant genotypes and likely root exudate substrates released in each soil

Exp.	Aim	Plant Species	Genotypes	Soil	Main Substrates Released from the Active Transporters in Each Soil	Comments
I	To test whether citrate release via TaMATE1B occurs from the apices of seminal axile roots only or from all root types.	Wheat	NIL-TaMATE1B	Hydroponics	Citrate	TaMATE1B facilitates the constitutive release of citrate from seminal axile roots, but whether this also occurs from other roots is unknown.
			NIL-null	Hydroponics	None
II	To test the effect of OsALMT4 activity on the root microbiome in rice.	Rice	OX-OsALMT4	Yellow Chromosol	Malate, GABA*	Constitutive release of substrates occurs from the root apices of the transgenic line OX-OsALMT4 but not from OX-null.
			OX-null	Yellow Chromosol	None
III	To test the effect of TaALMT1 activity on the microbiome of wheat seminal roots.	Wheat	NIL-null	Ferrosol	Malate, GABA	The Al3+ in the unamended Ferrosol will activate TaALMT1 activity and release substrates from the root apices.
			NIL-null	Ferrosol + gypsum	None	The Al3+ in the gypsum-amended Ferrosol is too low to activate TaALMT1 function, and no substrates are released. (See Supplemental Figure S2)
IV	To test the effect of TaMATE1B on the root microbiome, with and without TaALMT1 activity.	Wheat	NIL-TaMATE1B	Red Chromosol	Citrate	In the Red Chromosol, citrate release occurs from NIL-TaMATE1B, but not from NIL-null. No malate release occurs from either.
			NIL-null	Red Chromosol	None
			NIL-TaMATE1B	Ferrosol	Malate, GABA and citrate	The Al3+ in the Ferrosol will activate TaALMT1 in both NIL-TaMATE1B and NIL-null, while citrate release occurs only from NIL-TaMATE1B.

*Note that GABA release has not been measured directly from the roots of OX-OsALMT4 plants, but this is predicted from other reports.

Citrate release and TaMATE1B expression in various root types of wheat

We first used the near-isogenic wheat (T. aestivum L.) lines NIL-null and NIL-TaMATE1B to test whether citrate exudation via TaMATE1B occurs only from seminal roots of wheat or from other root types as well. Root exudates were collected from the apices of seminal axile roots, laterals of seminal roots, nodal axile roots, and laterals of nodal roots. For NIL-null plants, citrate exudation from the seminal and nodal axile root apices was low, ∼10 pmol root apex⁻¹ h⁻¹, and exudation from the laterals was ∼4 pmol root apex⁻¹ h⁻¹ (Figure 1A). In contrast, citrate exudation from NIL-TaMATE1B was ∼140 pmol root apex⁻¹ h⁻¹ for the seminal and nodal axile roots, and ∼20 pmol root apex⁻¹ h⁻¹ for the lateral roots (Figure 1A). Since the average diameter of lateral roots (∼0.25 mm) was smaller than the main axile roots (∼0.75 mm), these rates were normalized for tissue volume. After this conversion, the exudation from all root apical tissues of NIL-TaMATE1B was similar, at ∼70 pmol mm⁻³ root section h⁻¹ (Figure 1B). Root tissue was also collected from the base of seminal axile roots and nodal axile roots of NIL-TaMATE1B plants (avoiding lateral roots) to measure citrate release from those tissues. Citrate release from the basal root tissue was <10 pmol root section⁻¹ h⁻¹, confirming that citrate exudation predominantly occurs from the root apices. Expression levels of the TaMATE1 family reflected the pattern of citrate efflux and were significantly greater in NIL-TaMATE1B tissues than NIL-null for all root types (Supplemental Figure S1).

Figure 1.

Citrate efflux from the apices of different root types of wheat. NIL-null or NIL-TaMATE1B plants were grown in sterile hydroponic conditions and exudates were collected from various root tissues (Experiment I). Data are presented as (A) citrate efflux per root apex, and (B) citrate efflux normalized to the tissue volume (mm³) (means ± standard error (se) , n = 5). Lowercase letters above the bars indicate differences (P < 0.05) between the different tissues for the NIL-null or NIL-TaMATE1B lines, while asterisks above the NIL-TaMATE1B bars indicate the efflux from NIL-TaMATE1B is significantly greater (P < 0.05) than the corresponding tissue from NIL-null. Data were transformed to natural log prior to two-way analysis of variance (ANOVA) with Tukey’s post-hoc test.

Effect of OsALMT4 activity on the root microbiome in rice

The transgenic rice (O. sativa L.) line OX-OsALMT4 shows constitutive release of malate from its root apices while the null sister line, OX-null, shows little or no malate release (Liu et al., 2017). These plants were grown for 8 d in soil and the bacterial communities colonizing the root apices and root bases were compared. The null hypothesis tested was that OsALMT4 activity does not affect the microbiome along the roots of rice seedlings (Table 1).

Detrended correspondence analysis (DCA) of the bacterial community structures and pairwise comparisons of the different samples using a multivariate generalized linear model (GLM) with the mvabund package in R showed that communities collected from the root apices and bases were significantly different from each other, and both were different from the bulk soil (P < 0.005; Figure 2A). Members of the Actinobacteria, Betaproteobacteria, and Bacilli were more abundant on the roots than the bulk soil, while the Acidobacteria, Alphaproteobacteria, Gemmatimonadetes, and Chloroflexi JG37-AG-4 were more abundant in the bulk soil (Figure 2B).

Figure 2.

OsALMT4 activity alters the bacterial microbiome on rice roots. Rice lines OX-null and OX-OsALMT4 were grown in a Yellow Chromosol for 8 d (Experiment II). A, DCA plot showing relationships of the bacterial community structures between the root apices, root bases, and bulk soil samples (n = 5). Statistical tests with mvabund showed that communities colonizing the root apices and bases were significantly different from each other, and both were significantly different from the bulk soil (P < 0.005). Moreover, analysis with mvabund showed the communities at the root apices of OX-OsALMT4 were significantly different from OX-null plants (P = 0.02), and communities at the root bases of OX-OsALMT4 were also significantly different from OX-null plants (P = 0.006). B, A heatmap depicting the relative abundance of bacterial classes in each sample group. Minor bacterial classes (<0.5% in the abundance in any single sample) were compiled into “Others.” Data are means (n = 5) and the color scale represents the square root of relative abundance.

The effect of OsALMT4 activity on the root microbiome was obtained by comparing samples from OX-OsALMT4 and OX-null. We found that the bacterial communities colonizing the root apices of OX-OsALMT4 were significantly different from OX-null plants (mvabund P = 0.02), and the communities colonizing the root bases of OX-OsALMT4 were also significantly different from OX-null plants (mvabund P = 0.006). However, the changes associated with OsALMT4 activity were much smaller than the differences between the root apices and root bases. DESeq2 analyses identified the individual operational taxonomic units (OTUs) showing significant differences in abundance between the two plant genotypes (Figure 3). Eight OTUs from the Betaproteobacteria (Genus Burkholderia/Paraburkholderia) and two from the Actinobacteria (OTU29, Leifsonia; OTU45, Pseudarthrobacter) were more abundant in OX-OsALMT4 compared with OX-null at both the root apices and the root bases. In contrast, eight Bacilli OTUs were more abundant at the bases of OX-null compared with OX-OsALMT4 (Figure 3B), and one of these (OTU78; uncultured Sporosarcina) was also enriched at the root apices of OX-null. A detailed description of these OTUs is provided in Supplemental Table S1. These results indicate that OsALMT4 activity at the root apices significantly affected the bacterial microbiome along rice roots and therefore the null hypothesis was rejected.

Figure 3.

Bacterial OTUs on rice roots significantly affected by OsALMT4 activity. Rice lines OX-null and OX-OsALMT4 were grown in a Yellow Chromosol for 8 d (Experiment II). Plots present bacterial OTUs showing significant differences in abundance between the OX-null and OX-OsALMT4 at the (A) root tips and (B) root bases (Wald test P < 0.05). Log2-fold changes in the OTU abundance between the two sample groups were determined with DESeq2 (n = 5). A and B, The red and blue arrows indicate the OTUs that were more abundant on OX-OsALMT4 and OX-null, respectively, at both the root apices and the root bases.

Effect of TaALMT1 activity on the root microbiome of wheat

The wheat genotype NIL-null was grown on two similar but contrasting soils: a Ferrosol and the same Ferrosol amended with gypsum. The high concentration of Al³⁺ in the Ferrosol activates the TaALMT1 channel to release malate and other substrates from the root apices, whereas the much lower Al³⁺ concentration in the gypsum-amended Ferrosol will not activate TaALMT1 (Table 1). The relative toxicity of these soils was confirmed in preliminary experiments (Supplemental Figure S2). The bacterial and fungal microbiomes were characterized at the apices and bases of seminal roots and compared between the two soils. The null hypothesis was that TaALMT1 activity does not affect the bacterial or fungal microbiomes along seminal roots.

Final shoot biomass of plants from the Ferrosol and amended Ferrosol is shown in Supplemental Figure S3. DCA plots of the microbiomes indicated that the largest differences in bacterial and fungal communities existed between the bulk soil samples and the root bases, while communities on the root apices fell between these extremes (Figure 4). The addition of gypsum to the Ferrosol caused a small but significant shift in the bacterial and fungal communities in the bulk soil samples (mvabund P < 0.005). The influence of TaALMT1 activity on the root microbiomes was determined by comparing root samples collected from the Ferrosol (TaALMT1 is activated) and the gypsum-amended Ferrosol (TaALMT1 is not activated). The microbial communities colonizing the root apices of plants from the Ferrosol were significantly different from plants grown in the amended Ferrosol. Similarly, the communities colonizing the root bases of plants from the Ferrosol were significantly different from plants grown in the amended Ferrosol (mvabund P < 0.005 for all comparisons; Figure 4).

Figure 4.

Effect of TaALMT1 activity on the microbiome structure along wheat roots. NIL-null wheat was grown in the Ferrosol and gypsum-amended Ferrosol for 8 d (Experiment III). DCA plots show the (A) bacterial and (B) fungal community relationships on the seminal root apices, seminal root bases, and the bulk soils in the Ferrosol (TaALMT1 is active) and the gypsum-amended Ferrosol (TaALMT1 is not active; n = 5–6). The mvabund analyses showed the bacterial and fungal communities colonizing the root apices from the Ferrosol were significantly different from those from the amended Ferrosol. Similarly, the communities at the root bases from the Ferrosol were significantly different from the amended Ferrosol (P < 0.005). Addition of gypsum to the Ferrosol also caused small but significant shifts in the microbial populations in the bulk soil samples (P < 0.005).

The OTUs showing significant differences in abundance on root samples from the Ferrosol compared with the amended Ferrosol are shown in Figure 5. For the bacteria, six OTUs closely matching Peptoclostridium difficile (Class Clostridia) and others from the Genera Arthrobacter, Massilia, and Alkanindiges were more abundant at the apices of roots from the Ferrosol (Figure 5A;Supplemental Table S2). In contrast, eight OTUs, mostly from Classes Actinobacteria and Ktedonobacteria (Phylum Chloroflexi), showed the reverse pattern, being more abundant on the root apices from the gypsum-amended Ferrosol. Among the 15 OTUs enriched at the root bases of plants grown in the Ferrosol compared with the amended Ferrosol (Figure 5B) were seven Actinobacteria (mostly Streptomyces) and three Peptoclostridium OTUs (Class Clostridia). Two of these Peptoclostridium (OTU875 and OTU2064) were also more abundant at the root apices of plants from the Ferrosol. Lastly, seven OTUs from several Classes were enriched at the root bases of plants grown in the amended Ferrosol compare to the unamended soil (Figure 5B). Details of these OTUs are provided in Supplemental Table S2. For the fungi, 17 OTUs mostly from Classes Eurotiomycetes and Sordariomycetes were more abundant at the root apices from the gypsum-amended Ferrosol (Figure 6A). Nine fungal OTUs differed in abundance at the root bases in the two soils, most being enriched in plants grown in the amended Ferrosol (Figure 6B). A detailed description of these fungal OTUs is provided in Supplemental Table S3.

Figure 5.

The effect of TaALMT1 activity on the bacterial microbiome of wheat roots. Plots present the bacterial OTUs that show significant differences (Wald test P < 0.05) in abundance between NIL-null plants grown in the Ferrosol (TaALMT1 active) or gypsum-amended Ferrosol (TaALMT1 not active) at the (A) seminal root apices and (B) seminal root bases (Experiment III). Also shown in (C) are the bacterial OTUs in the bulk soil samples that are significantly different between the Ferrosol and the gypsum-amended Ferrosol. Log2-fold changes in the OTU abundance between the two sample groups were determined with DESeq2 (n = 5–6). A–C, Blue arrows indicate OTUs that appear in more than one plot. The Phylum Firmicutes were subclassified into the Classes Clostridia, Erysipelotrichia, and Bacilli, and the Phylum Proteobacteria was subclassified into the Classes Alphaproteobacteria, Betaproteobacteria, and Gammaproteobacteria.

Figure 6.

The effect of TaALMT1 activity on the fungal microbiome of wheat roots. Plots present the fungal OTUs that show significant differences (Wald test P < 0.05) in abundance between NIL-null plants grown in the Ferrosol (TaALMT1 active) or gypsum-amended Ferrosol (TaALMT1 not active) at the (A) seminal root apices and (B) seminal root bases (Experiment III). Also shown in (C) are the fungal OTUs in the bulk soil samples that are significantly different between the Ferrosol and the gypsum-amended Ferrosol. Log2-fold changes in the OTU abundance between the two sample groups were determined with DESeq2 (n = 6). A–C, Blue arrows indicate OTUs that appear in more than one plot.

Since the addition of gypsum to the Ferrosol significantly shifted the bacterial communities in the bulk soil samples, we needed to determine whether those changes caused the differences in root microbiomes. We conclude that the differences in root microbiomes were not caused by differences in the bulk soil communities for two reasons. First, the magnitude of differences in the bulk soil samples after adding gypsum was much smaller than the differences between the root samples grown in the two soils (Figure 4). Second, the changes that occurred in the OTUs from the bulk soil samples after gypsum addition were not reflected in the root samples of plants grown in those soils. For example, eleven bacterial OTUs from the Chloroflexi were enriched in the bulk soil samples of the Ferrosol relative to the amended Ferrosol (Figure 5C), but no members of this group showed the same preference in the root samples collected from these soils (Figure 5, A and B). Moreover, in the Ferrosol-grown plants, six Clostridia OTUs were enriched on the root apices and three Clostridia OTUs were enriched on the root bases, yet the two bulk soils showed no differences in Clostridia abundance (Figure 5). Similarly, among the fungi, 25 OTUs (mostly Sordariomycetes and Eurotiomycetes) showed significant differences in abundance between the root apices of plants from the Ferrosol and amended Ferrosol (Figure 6a). Only two of these (OTU24 and OTU75) showed similar differences between the bulk soils, which again indicates the root assemblages were predominantly influenced by differences in TaALMT1 activity and not by the differences between the two soils (Figure 6C). The results indicate that TaALMT1 activity significantly altered the bacterial and fungal microbiomes on wheat roots and, therefore, the null hypothesis is rejected.

Effect of TaMATE1B activity on the microbiome of wheat roots, alone, and in combination with TaALMT1

NIL-null plants (no citrate release) and NIL-TaMATE1B plants (citrate release from the root apices) were grown in a Red Chromosol and the acidic Ferrosol. Since both genotypes have high levels of TaALMT1 expression, they will both release malate and other substrates from their root apices via TaALMT1 when grown in the Ferrosol, but not in the Red Chromosol (Table 1). The null hypotheses tested in this experiment were: (1) citrate release via TaMATE1B does not affect the root microbiome of plants grown in the Red Chromosol and (2) citrate release does not further alter the root microbiomes of plants grown in the Ferrosol, where TaALMT1 is also active.

Final shoot biomass of NIL-null and NIL-TaMATE1B plants after 8 and 31 d of growth in the two soils is shown in Supplemental Figure S4. Multivariate analysis (DCA) showed the bacterial and fungal community structures in the bulk soils and on the roots (Supplemental Figure S5). The tight clustering of the bulk soil samples demonstrates that depth in the pots (top, middle, and bottom layers) and time of sampling (8 and 31 d) had little effect on the soil microbial communities. They also highlight that roots had a stronger influence on the bacterial communities than on the fungal communities in these soils (Supplemental Figure S5).

The microbiome communities on different root tissues were first compared to one another by combining data from both genotypes. The DCA plots and mvabund pairwise comparisons showed that the bacterial (Supplemental Figure S6, A and B) and fungal (Figure S6, C and D) communities on seminal root apices, seminal root bases, nodal root apices, and nodal root bases were significantly different from each other in both soils tested (mvabund P < 0.005 for all comparisons). The broad patterns that emerged among the bacterial and fungal taxa across the different soils and tissues types are summarized in Supplemental Figures S7 and S8.

We assessed the effect of citrate release on the root microbiome by comparing the communities on NIL-null and NIL-TaMATE1B roots grown in the Red Chromosol. Microbial community structures on each tissue type were compared between the two genotypes (Supplemental Figure S9) and results summarized in Table 2. For the bacteria, significant differences between the genotypes were detected at the apices of seminal roots, at the bases of seminal roots and at the bases of nodal roots. For the fungal communities, significant differences occurred at the bases of seminal roots only, but the difference at the apices of seminal roots was almost significant (mvabund P = 0.055; Table 2). The bacterial OTUs showing significant differences in abundance between NIL-null and NIL-TaMATE1B are presented in Figure 7 and Supplemental Table S4, and the fungal OTUs showing significant differences in abundance are shown in Figure 8 and Supplemental Table S5. Many bacterial OTUs showed a clear preference for one genotype over another in the Red Chromosol. For example, eight Clostridia OTUs (best close match Peptoclostridium) were preferentially enriched at the seminal root apices of NIL-TaMATE1B (Figure 7A), 11 Betaproteobacteria OTUs (mostly from Families Oxalobacteraceae, Burkholderiaceae, and Comamonadaceae) were enriched at the nodal root apices of NIL-TaMATE1B (Figure 7B) and six Actinobacteria OTUs (including Streptomyces and Streptacidiphilus) were enriched at the seminal root bases of NIL-null plants (Figure 7C). Two Bacilli (OTU8 and 74) were more abundant on NIL-null plants at the bases of both root types and, interestingly, one OTU from the Gammaproteobacteria (OTU1, uncultured Rhodanobacter) was enriched at the apices of seminal and nodal roots from NIL-TaMATE1B but enriched at the root bases of NIL-null (Figure 7). Several fungal OTUs also showed differences in abundance between the NIL-null and NIL-TaMATE1B, with one unidentified Basidiomycota (OTU141) being significantly more abundant at the bases of the seminal and nodal roots of NIL-null plants (Figure 8, C and D).

Table 2.

Effect of TaMATE1B activity on the microbiome of wheat roots with and without TaALMT1 activity

	Effect of TaMATE1B Activity on the Root Microbiome NIL-Null versus NIL-TaMATE1B (mvabund P-values)
	Red Chromosol (TaALMT1 not active)		Ferrosol (TaALMT1 active)
Root Tissues	Bacteria	Fungi	Bacteria	Fungi
Seminal Apices	0.001*	0.055*	0.169	0.385
Seminal Bases	0.003*	0.040*	0.002*	0.710
Nodal Apices	0.094	0.260	0.003*	0.685
Nodal Bases	0.012*	0.145	0.113	0.010*

Summary of tests comparing the effect of TaMATE1B activity on the root microbiomes grown in the Red Chromosol and Ferrosol (Experiment IV, Table 1). TaALMT1 is active in the Ferrosol but not in the Red Chromosol. Differences in the microbial community structures between the two genotypes (NIL-null and NIL-TaMATE1B) in each root tissue were assessed with a multivariate GLM and a negative binomial distribution using the mvabund package. Shown are the mvabund P-values on the bacterial and fungal microbiomes from different root tissues and two soils. Significant differences (P < 0.05) are shown by an asterisk, with the exception of fungi in the seminal root apices in the Red Chromosol where P = 0.055.

Figure 7.

Effect of TaMATE1B activity on the bacterial microbiome of wheat roots with and without TaALMT1 activity. Wheat plants NIL-null and NIL-TaMATE1B were grown in a Red Chromosol (filled circle; TaALMT1 not active) or Ferrosol (filled triangle; TaALMT1 active; Experiment IV). Plots present bacterial OTUs showing significant differences in abundance between NIL-null and NIL-TaMATE1B on the (A) seminal root apices, (B) nodal root apices, (C) seminal root bases, and (D) nodal root bases (Wald test P < 0.05). Log2-fold changes in the OTU abundance between the two sample groups were determined with DESeq2 (n = 6). A–D, Black arrows indicate OTUs that appear in more than one plot.

Figure 8.

Effect of TaMATE1B activity on the fungal microbiome of wheat roots with and without TaALMT1 activity. Wheat plants NIL-null and NIL-TaMATE1B were grown in a Red Chromosol (filled circle; TaALMT1 not active) or Ferrosol (filled triangle; TaALMT1 active; Experiment IV). Plots present fungal OTUs showing significant differences in abundance between NIL-null and NIL- TaMATE1B on the (A) seminal root apices, (B) nodal root apices, (C) seminal root bases, and (D) nodal root bases (Wald test P < 0.05) were elucidated with DESeq2. Log2-fold changes in the OTU abundance between the two sample groups were determined with DESeq2 (n = 6). A–D, Black arrows indicate OTUs that appear in more than one plot.

Finally, we assessed whether citrate release via TaMATE1B could alter the root microbiome when TaALMT1 is also active. This was done by comparing the microbial population from NIL-null and NIL-TaMATE1B plant roots grown in the Ferrosol (Table 1). Microbial community structures of the two genotypes on each tissue type were characterized with DCA (Supplemental Figure S10) and results from the mvabund analyses are summarized in Table 2. Pairwise comparisons of the bacterial communities showed significant differences between NIL-null and NIL-TaMATE1B at the base of seminal roots and at the apices of nodal roots. For the fungi, significant differences between NIL-null and NIL-TaMATE1B were detected only at the base of nodal roots (Table 2).

Relatively, few bacterial groups showed differences in abundance on NIL-TaMATE1B roots (malate and citrate release) compared with NIL-null roots (malate release only) in the Ferrosol. A member of the Actinobacteria (OTU6) was more abundant at the root apices of both seminal and nodal roots of NIL-TaMATE1B, and this was joined by four Clostridia (OTU1018, 577, 875, and 2064) at the seminal root apices (Figure 7, A and B). Three Betaproteobacteria (OTU26, 723, and 260) were more abundant at the apices of nodal roots of NIL-TaMATE1B (Figure 7B). Among other shifts in bacterial abundance detected only in the Ferrosol were four Clostridia, two Alphaproteobacteria (uncultured Sphingomonas), a Thermoleophilia (uncultured YNPFFP1) and a Chloroflexi_JG37-AG-4 enriched at the seminal root bases of NIL-null plants (Figure 7C), and a single uncultured Saccharibacteria (OTU 487) which were more abundant on the nodal root bases of NIL-null plants (Figure 7D). Several fungal groups showed shifts in abundance only in the Ferrosol-grown plants, including a Mortierellomycetes (OTU289) and a Rozellomycota (OTU6), which were enriched at the seminal root apices of NIL-TaMATE1B (Figure 8A), a Eurotiomycetes (OTU62), and a Leotiomycetes (OTU117) which were enriched at the nodal root apices of NIL-null (Figure 8B), and three Orbiliomycetes OTUs that were enriched at the nodal root bases of NIL-TaMATE1B (Figure 8D). Details of these bacterial and fungal OTUs can be found in Supplemental Tables S4 and S5, respectively.

Changes that were similar in the Red Chromosol and the Ferrosol included enrichment of Clostridia OTUs (best close match Peptoclostridium) on the seminal root apices of NIL-TaMATE1B (Figure 7A), an enrichment of Betaproteobacteria (Families Oxalobacteraceae, Burkholderiaceae, Pseudonocardiaceae, and Comamonadaceae) on the nodal root apices of NIL-TaMATE1B (Figure 7B) and the enrichment of Actinobacteria (including Streptomyces and Streptacidiphilus) on the seminal root bases of NIL-null plants (Figure 7C).

OTUs that displayed similar shifts across both seminal and nodal root types included the bacterial OTU1 (Rhodanobacter), OTU2 (Streptacidiphilus), OTU6 (Amycolatopsis), and OTU28 (Burkholderia/Paraburkholderia), which were enriched at the apices of both seminal and nodal roots of NIL-TaMATE1B (Figure 7, A and B), as well as OTU1 (Rhodanobacter), OTU2 (Streptacidiphilus), OTU8 (Bacillus), OTU15 (Streptomyces), OTU74 (Sporosarcina), and OTU274 (Streptacidiphilus), which were consistently more abundant in NIL-null plants at the bases of both root types (Figure 7, C and D). Seven bacterial OTUs (OTU8, 26, 74, 274, 577, 875, and 2064) displayed the same genotype-specific enrichment in both soils, while four OTUs (OTU2, 593, 1018, and 3336) swapped their genotype preference in the two soils (Figure 7; Supplemental Table S4). Among the fungi, the unidentified Ascomycota and Basidiomycota, and most Eurotiomycetes OTUs were more abundant in NIL-null plants than NIL-TaMATE1B plants. A Chaetomiaceae (OTU19, Class Sordariomycetes) and an unidentified Clavicipitaceae (OTU85, Class Sordariomycetes) were more abundant on the seminal root apices of NIL-null plants but more abundant on the seminal root bases of NIL-TaMATE1B plants (Figure 8; Supplemental Table S5). The null hypotheses are rejected because TaMATE1B activity, alone and in combination with TaALMT1 activity, was able to alter the microbiome at some regions of the root system.

Discussion

This study investigated whether the root microbiome can be manipulated in a consistent manner by modifying the expression of membrane transporters and their exudates from roots. The aim was not to generate a beneficial microbiome per se, although that is the ultimate goal of this work and remains a major challenge. Instead, we aimed, first, to demonstrate that varying transporter activity provides a means of changing the root microbiome in a consistent manner and, second, to assess how those changes differ throughout the root system. We demonstrated that by varying the activity of OsALMT4 in rice (O. sativa L.) and the activity of TaALMT1 and TaMATE1B in wheat (T. aestivum L.), we could modify the root exudates and significantly alter the microbial communities at the root apices and the root bases. Moreover, we showed that these changes differed between different root types.

We identified specific bacterial and fungal OTUs that showed consistent preferences for plants releasing simple organic anions. For example, a total of 14 bacterial OTUs (largely Burkholderia/Paraburkholderia, Leifsonia, and Pseudarthrobacter) were significantly more abundant at the root apices of the rice line releasing malate than from the control line (Figure 3A;Supplemental Table S1). In wheat, bacterial OTUs closely matching Peptoclostridium, Arthrobacter, Massilia, and Alkanindiges were more abundant at the root apices when TaALMT1 was activated and malate and GABA were released (Figure 5A;Supplemental Table S2). Similarly, OTUs from the Streptacidiphilus, Amycolatopsis, and Burkholderia/Paraburkholderia were more abundant on the apices of seminal and nodal roots of the citrate-releasing wheat line NIL-TaMATE1B, whereas Rhodanobacter, Bacillus, Streptomyces, and Sporosarcina were consistently more abundant at the bases of the seminal and nodal roots of NIL-null plants that do not release citrate (Figure 7; Supplemental Table S4). Among the fungi, OTUs from the Ophiosphaerella (OTU23) and Cladosporium (OTU48) genera were more abundant on wheat roots releasing citrate (Figure 8; Supplemental Table S5).

The finding that Peptoclostridium (Clostridia) and Massilia (Betaproteobacteria) were enriched on root apices of NIL-TaMATE1B wheat in two different soils (Figure 7, A and B; Supplemental Table S4), as well as on the roots of wheat when TaALMT1 was activated (Peptoclostridium OTU875 and 2064; Figure 5, A and B; Supplemental Table S2), suggests these groups benefit from the substrates released via TaMATE1B (citrate) and TaALMT1 (malate, GABA, and smaller amounts of other organic anions). This is consistent with other reports demonstrating Clostridia species produce citrate lyase that enables them to catabolize citrate as a sole carbon source (Walther et al., 1977; Antranikian et al., 1984; Quentmeier and Antranikian, 1985). Interestingly, Clostridia were only enriched on the seminal root apices of NIL-TaMATE1B wheat and not on the nodal root apices (Figure 7, A and B), despite them releasing similar amounts of citrate (Figure 1). This indicates that other factors also influence the structure of these microbial communities. The nodal root apices of NIL-TaMATE1B instead harbored more Betaproteobacteria (Families Burkholderiaceae, Oxalobacteraceae, and Comammonadaceae) than those of NIL-Null (Figure 7B), and OTUs from these same Families were also enriched all along the roots of the malate-releasing rice OX-OsALMT4 (Figure 3; Supplemental Table S1). We conclude that these groups also benefited from the substrates released via the transporters, which supports previous findings that members of these families are able to utilize organic acids as a sole carbon source (Willems et al., 1991; Baldani et al., 2014). The Order Burkholderiales (Class Betaproteobacteria) are also abundant on the cluster roots of white lupin (Lupinus albus L.), which release large amounts of citrate and malate and other substrates to improve phosphate availability in the soil (Weisskopf et al., 2011). This information linking root exudates with the proliferation of specific microbial groups could be used to manipulate root microbiomes.

GABA is a nonprotein amino acid found in most prokaryotic and eukaryotic organisms. Not only is it a substrate of the ALMTs examined in heterologous expression systems so far (Ramesh et al., 2015), but it can also interact with malate to regulate TaALMT1 activity (Ramesh et al., 2018). Many soil microorganisms produce GABA and it is often detected in root exudates. GABA has been predicted to have a role in quorum sensing and in plant–microbe interactions (Chevrot et al., 2006), and appears to be essential for the culture of some microorganisms (Strandwitz et al., 2019). Whether the release of GABA via ALMTs influences the microbiomes developing on rice and wheat roots needs to be determined. Certainly, OTUs from the Family Peptostreptococcaceae (Class Clostridia) were only enriched on wheat roots when malate and GABA were exuded (Figures 5, A, B, and 7, A). It will be intriguing to determine whether GABA is essential for the proliferation of some beneficial soil microorganisms. If it is, then the manipulation of ALMT transporters could provide a means of attracting those species to the roots.

Notwithstanding the clear patterns described above for some OTUs, the influence of transporter activity on the root microbiome remained relatively small compared with the influence of tissue type and soil. Root type (seminal or nodal root), the location along the root (apex or base), and soil type had a larger influence on shaping the bacterial and fungal populations on the roots than the expression of the transporters and their exudates (Figures 2 and 4; Supplemental Figures S5–S8). Other changes to the microbiome were more difficult to interpret. For instance, the communities that developed on seminal roots of wheat were not always observed on the nodal roots (e.g. Clostridia), even though TaALMT1 and TaMATE1B functioned similarly on both root types and the root apices of these roots had similar ages (Figure 1; Kawasaki et al., 2018). It is possible that the full catalog of substrates released from these different root types is incomplete. Alternatively, root types might affect microbial growth in other ways, such as through rhizosphere pH, redox status, or even cell wall composition.

Microbiomes on the root apices were consistently distinct from those on the root bases, which agrees with previous reports (Dennis et al., 2010; Kawasaki et al., 2021; Rüger et al., 2021). Since exudation via the TaMATE1B and TaALMT1 is largely restricted to the root apices, it might have been expected that they would drive greater changes to the microbiome composition compared with the soil communities and those on the root bases. This was not the case. Instead, results in Figure 4 show that overall community structure of microbiomes on the root bases is more dissimilar to the bulk soil than the communities on the root apices. Previous reports discussing this same pattern concluded that root growth allowed too little time for the microbiome at the root apices to fully respond to the exudates (Dennis et al., 2009). Mature root tissues have a different range of rhizodeposits and more time to affect the microbiome. Nevertheless, some OTUs showed a similar enrichment at the root apices and the root bases. For example, in rice, eight OTUs from the Burkholderia/Paraburkholderia (Betaproteobacteria) and others from Leifsonia and Pseudarthrobacter (Actinobacteria) were more abundant at the root apices and the root bases of OX-OsALMT4 compared with the OX-null (Figure 3). Perhaps, these OTUs began to proliferate as the roots first began to emerge and were able to persist and maintain the colonization as the root grew on.

The spatial variation of the root microbiome presents us with additional challenges, especially if we need to target specific regions of the root to combat diseases or improve nutrition. Although transporters manipulated in this study altered the microbial communities at the root apices and the root bases, the greatest direct influence of the exudates on microbiome composition will still be at the site of exudation. Once the exudates are released to the soil, they will be rapidly assimilated by microorganisms and involved in metabolic pathways and population cycles that are beyond plant control. The carbon pools and microbial communities away from root apices are less likely to be determined by the original exudates (Dennis et al., 2010). The role of exudates in structuring the root and rhizosphere communities needs to be considered in the context of the carbon pools already in the soil as well as the resident microbial communities there. This will be important when attempting to manipulate the root microbiome on particular root tissues or for promoting the stability of inoculants.

Conclusions

Sustainable farming systems attempt to balance inputs with crop requirements (Padilla et al., 2018; Wang et al., 2019) and a necessary step toward achieving this goal requires us to fully exploit the genetic potential of crops to resist biotic and abiotic stresses. This extends to the rhizosphere and the microbial interactions occurring at the plant–soil interface that can benefit plant growth (Pii et al., 2015). This study demonstrated that simple organic compounds in the root exudates can shift the root microbiome composition on major crop species, and that transgenic and nontransgenic approaches can achieve this. We also demonstrate that the spatial variation of the microbiome within the root system is high and that the root type and location on roots had a greater effect on the microbiome structure than the exudates. Finally, we identified specific bacterial and fungal OTUs that were robustly linked with the activity of transporters and their exudates (or lack thereof) on different root types and across different soils. Future investigations need to determine the key components of a beneficial microbiome and the substrates and conditions that will encourage its development. Once these are known, the transporters likely to mimic those conditions can be identified and manipulated.

Materials and methods

Plant materials

This study used transgenic lines of rice (O. sativa L.; cv Nipponbare) that differs in malate release and a pair of NILs of wheat (T. aestivum L.) that differs in citrate release from the roots. The transgenic rice was generated by overexpressing OsALMT4 using the maize ubiquitin promoter. The resulting OX-OsALMT4 (homozygous T4) line showed a constitutive release of malate from the root apices (of ∼0.5 nmol apex⁻¹ h⁻¹), while the null-segregant sister line (OX-null) showed no malate release (Liu et al., 2017). When expressed in heterologous systems, OsALMT4 was also permeable to GABA (Ramesh et al., 2015; NB: OsALMT4 was designated as OsALMT5 in that study).

The wheat NILs varying in citrate release were selected from a BC₉F₄ population (Han et al., 2016) where cv Carazinho was the donor of the mutant TaMATE1B allele that confers a constitutive release of citrate from seminal roots (∼100 pmol apex⁻¹ h⁻¹; Ryan et al., 2009b; Tovkach et al., 2013). These NILs were named NIL-TaMATE1B (citrate release) and NIL-null (no citrate release). Both NILs possess the Type V allele for TaALMT1 (Sasaki et al., 2006) which, when activated by the Al³⁺ in acidic soils, will release malate (∼1 nmol apex⁻¹ h⁻¹) from the apices of axile and lateral roots of the seminal and nodal root systems (Sasaki et al., 2004; Kawasaki et al., 2018). TaALMT1 is also permeable to GABA and other organic anions (Piñeros et al., 2008; Sharma et al., 2016; Ramesh et al., 2018).

The NILs of wheat ET8 and ES8 (Ryan et al., 1995) were used in preliminary growth experiments to test whether the soils contained toxic levels of Al³⁺. ET8 (Al³⁺-tolerant) and ES8 (Al³⁺-sensitive) vary in tolerance because they possess different alleles of TaALMT1 (Sasaki et al., 2006; Raman et al., 2008). In Al³⁺-toxic soils, the root growth of ET8 is greater than ES8 because the release of malate protects the growing root apices. In soils that do not contain toxic Al³⁺, their growth is similar (Supplemental Figure S2).

Citrate efflux and TaMATE1B expression on different root types of wheat

Table 1 summarizes the aims and designs of all experiments reported here. Experiment I grew the wheat NILs (NIL-null and NIL-TaMATE1B) in a sterile hydroponic system (five replicate plants per genotype) as described previously (Kawasaki et al., 2018) for 3 weeks, by which time they had developed about five seminal, eight nodal, and hundreds of lateral roots. Root exudates were collected from different parts of the root system as described previously (Kawasaki et al., 2018), and citrate in the exudates was quantified with Abcam Citrate Assay Kit (Abcam, VIC, Australia) by fluorescence detection using a TECAN Infinite M200 PRO microplate reader.

RNA was extracted from the wheat root apices using the RNeasy Plant Mini Kit (QIAGEN, VIC, Australia) according to the manufacturer’s protocol, which included a DNase step. cDNA synthesis and amplification and quantification of TaMATE1 transcripts are described previously using glyceraldehyde 3-phosphate dehydrogenase and α-tubulin as reference genes (Ryan et al., 2009b; Tovkach et al., 2013).

Description of soils

Soils were collected from the 10–20 cm layer at three locations and soil pH was measured in 0.01 M CaCl₂ solution (1:5 w/v soil:solution). The Yellow Chromosol (pH 4.3) was collected from a sheep grazing paddock at the CSIRO Ginninderra Experimental Station, Australia (35°10′30″S 149°02′33.4″E). Although acidic, the Yellow Chromosol did not contain toxic concentrations of Al³⁺, as confirmed by preliminary growth experiments with ET8 and ES8 (Supplemental Figure S2). The Ferrosol (pH 4.3) was collected from a cattle grazing paddock near Robertson, Australia (34°37′37.9″S 150°28′53.7″E). It contained toxic levels of Al³⁺ as confirmed in preliminary experiments (Supplemental Figure S2). It was also highly P-fixing and therefore amended with KH₂PO₄ (250 mg P kg⁻¹ dry soil). In Experiment III described below, the Ferrosol was further amended with gypsum (5 g CaSO₄ kg⁻¹ dry soil) to reduce the concentration of toxic Al³⁺ cations without changing pH (Supplemental Figure S2). The Red Chromosol (pH 5.9) was collected from a cereal cropping paddock near Young, Australia (34°19′29.7″S 148°14′42.8″E). All soils were air dried, sieved through 5 mm mesh, and stored at room temperature. Prior to use, deionized water was added to adjust the soil moisture to 80% field capacity for the Yellow Chromosol, 90% for the Ferrosol, and 44% for the Red Chromosol. The soil was packed in short polyvinylchoride (PVC) tubes (9 cm diameter × 20 cm) for the 8 d growth periods and tall PVC tubes (10 cm diameter × 50 cm) for the 31 d growth periods. Tubes were lined with plastic and soil packed at the density of approximately 1 g cm⁻³ for Ferrosol and Yellow Chromosol, and 1.4 g cm⁻³ for the Red Chromosol.

Soil experiments

All seeds were surface sterilized with bleach, stratified at 4°C for 2 d, and germinated at room temperature for 3 d. Germinated seedlings were transplanted into the PVC tubes (three wheat seedlings per tube and 10 rice seedlings per tube), covered with plastic pellets to prevent excessive moisture loss, and tubes weighed. The experiments were conducted in a growth cabinet or in a glasshouse with natural light for periods of 8 or 31 d as described below.

Experiment II grew transgenic lines of rice in a Yellow Chromosol to examine the effect of OsALMT4 activity on the root microbiome (Table 1). Five replicate tubes per genotype were placed in a growth cabinet (Conviron, Canada) for 8 d with a 16-h d/8-h night cycle (24°C/20°C) and 600 µmol photon m⁻² s⁻¹.

Experiment III used the NIL-null wheat line (no citrate release) to examine the effect of TaALMT1 activity on the root microbiome (Table 1). Plants were grown in a glasshouse for 8 d in the PVC tubes (six replicate tubes per treatment) containing either the Ferrosol (toxic concentrations of Al³⁺) or the same Ferrosol amended with gypsum to reduce the concentration of Al³⁺ without changing soil pH. The TaALMT1 channel will be activated by the Al³⁺ cations in the Ferrosol to release malate and GABA. TaALMT1 will not be activated in the gypsum-amended Ferrosol because the concentration of Al³⁺ is too low (Supplemental Figure S2).

Experiment IV examined the effect of TaMATE1B activity alone, and in combination with TaALMT1 activity, on the root microbiome of wheat (Table 1). The NIL-null (no citrate release) and NIL-TaMATE1B (constitutive citrate release) wheat lines were grown in the Red Chromosol and a Ferrosol in a glasshouse. The effect of TaMATE1B activity alone (citrate release) on the root microbiome could be tested by comparing the plants grown in the Red Chromosol. The effect of TaMATE1B activity in combination with TaALMT1 activity (malate and GABA release) on the root microbiome could be tested by comparing these lines in the Ferrosol. Two sets of plants were prepared, and seminal root samples were collected from plants after 8 d (from the first set of pots) and nodal root samples were collected after 31 d (from the second set of pots). Six replicate PVC tubes were prepared for each treatment (i.e. two genotypes × two soils × two growth periods).

Plants were watered daily to the initial weight with deionized water and the tubes were spatially randomized every 2 d. Replicated tubes without plants were also prepared to sample the bulk soil microbiomes at the same time.

Sampling of root tissues

Rice seedlings grow a single seminal root and then nodal or adventitious roots emerge soon after (Morita and Abe, 1994). Therefore, most of the roots sampled in rice were nodal roots. Wheat initially grows about five seminal roots from the grain and these were sampled after 8 d. Nodal roots in wheat, which emerge 10–14 d later from the crown, were sampled after 31 d from different plants. The plants were removed from the tubes and soil was washed off the roots with tap water. The root microbiome analyzed in this study, therefore, included the organisms colonizing the outer surface of roots after washing, as well as endophytes. Each root was excised from the base of the shoot, and detangled in a shallow tray containing sterile 0.2 mM CaCl₂ solution. The root apices and root bases of the seminal and nodal roots were sampled, rinsed in sterile 0.2 mM CaCl₂, and stored at −80°C for DNA extraction. Root apices were defined as the terminal 1 cm of root, and the root bases represented the 2 cm region between 1 and 3 cm from the root base, including any laterals. From each PVC tube, 10–15 root apices and 5–6 root bases were collected and pooled to make a single sample. Bulk soil samples were taken from the middle layer of unplanted tubes in Experiments II and III. Bulk soil samples were also collected from the top (1 cm from surface), middle, and bottom (1 cm from base) of the unplanted PVC tubes in Experiment IV.

Microbial community analysis

Root samples were lyophilized and then homogenized. DNA was isolated from soil and homogenized root samples using a DNeasy PowerSoil Kit (QIAGEN) according to the kit guidelines.

Bacterial and fungal community sequencing was carried out as described previously (Kawasaki et al. 2021). Bacterial 16S ribosomal RNA (rRNA) genes were amplified using 799F (AACMGGATTAGATACCCKG) and 1391R (GACGGGCGGTGWGTRCA) primers (Beckers et al., 2016), and a peptide nucleic acid (PNA) clamp TaMtPNA1-F (GCCCCGCTCCGAAACA) was added in the polymerase chain reaction (PCR) to reduce the co-amplification of the host mitochondrial 18S rRNA gene (Kawasaki et al., 2021; Kawasaki and Ryan, 2021). For wheat root samples, 10 μM PNA was added to the PCR, and the PCR products were separated on 1.5% agarose gels and the bacterial bands (∼700 bp) excised. For rice root samples, it was not possible to separate the products on a gel since the rice mitochondrial amplicon is similar in size to the bacterial 16S amplicon; therefore, 20 μM PNA was used to minimize the amplification of rice DNA. Fungal internal transcribed spacer (ITS) was amplified with a semi-nested PCR approach to avoid co-amplification of plant-derived sequences. First round PCR was performed with ITS1F_KYO1 (CTHGGTCATTTAGAGGAASTAA; Toju et al., 2012) and ITS4-R (TCCTCCGCTTATTGATATGC; White et al., 1990), and the second round PCR was performed with gITS7-F (GTGARTCATCGARTCTTTG; Ihrmark et al., 2012) and ITS4-R. The bacterial 16S primers and the fungal ITS primers used for the final amplification (gITS7-F and ITS4-R) had Illumina overhang adapters on the 5′-ends for compatibility with Nextera XT indices. Samples were sequenced on an Illumina MiSeq at The University of Queensland’s Institute for Molecular Biosciences (UQ, IMB) using 30% PhiX Control version 3 (Illumina, San Diego, CA, USA) and a MiSeq Reagent Kit version 3 (600 cycles; Illumina).

A modified UPARSE pipeline (Edgar, 2013) was used to analyze both datasets using the forward reads. Primer sequences were removed from the 16S amplicons and trimmed to 250 bp. For ITS sequences, ITSx (version 1.0.11; Bengtsson-Palme et al., 2013) was used to identify and extract ITS2 sequences. After removal of chimeric sequences, USEARCH (version 10.0.240; Edgar, 2010) was used to filter and cluster 16S and ITS sequences into OTUs and generate tables. Taxonomy was assigned to the bacterial and fungal OTU with SILVA SSU (version 128; Quast et al., 2013) and UNITE (version 7.2-2017.10.10; Nilsson et al., 2019) databases, respectively, using BLASTN (version 2.3.0+; Zhang et al., 2000) within QIIME 2 (Bolyen et al., 2019). Nonbacterial OTUs were removed using BIOM tool suite (McDonald et al., 2012). From each Experiment, equal numbers of valid sequences (minimum library size) were rarefied and the OTU tables were used for subsequence statistical analyses.

Statistical analyses

Statistical analyses were performed in R version 3.5.3 environment (R Core Team, 2019). Hellinger transformation was applied to the OTU tables (Legendre and Gallagher, 2001) and differences in the microbial community composition associated with each sample were visualized after DCA using vegan package (Oksanen et al., 2019). Differences in the microbial community structures between the sample groups were assessed with multivariate GLMs using a negative binomial distribution, as implemented in the mvabund package (Wang et al., 2012). Significant differences in OTU abundance between two sample groups were identified with the DESeq2 package (Love et al., 2014) by converting the data with the phyloseq package (McMurdie and Holmes, 2013) as described previously (McMurdie and Holmes, 2014). Negative binomial GLMs were fitted for each OTU, and the logarithmic fold changes in the OTU abundance between the two groups were calculated. Significance was tested using the Wald test with a threshold of P < 0.05.

Accession numbers

All sequences from this study have been deposited in the Sequence Read Archive under BioProject accession number PRJNA735611.

Supplemental data

The following materials are available in the online version of this article.

Supplemental Table S1. Classification of bacterial OTUs from Figure 3 (Experiment II).

Supplemental Table S2. Classification of bacterial OTUs from Figure 5 (Experiment III).

Supplemental Table S3. Classification of fungal OTUs from Figure 6 (Experiment III).

Supplemental Table S4. Classification of bacterial OTUs from Figure 7 (Experiment IV).

Supplemental Table S5. Classification of fungal OTUs from Figure 8 (Experiment IV).

Supplemental Figure S1. Gene expression of TaMATE1 family at the root apices of NIL-null and NIL-TaMATE1B wheat lines.

Supplemental Figure S2. Testing the Al³⁺ toxicity of different acidic soils with root growth assays.

Supplemental Figure S3. Final shoot dry weight (DW) of wheat plants in Experiment III.

Supplemental Figure S4. Final shoot DW of wheat plants in Experiment IV.

Supplemental Figure S5. Microbiome structures on wheat roots grown in two different soils.

Supplemental Figure S6. Bacterial and fungal microbiome structures on different root tissues of wheat grown in two different soils.

Supplemental Figure S7. Relative abundance of the bacterial taxa on different wheat root tissues grown in two different soils.

Supplemental Figure S8. Relative abundance of the fungal taxa on different wheat root tissues grown in two different soils.

Supplemental Figure S9. Effect of TaMATE1B activity on the bacterial and fungal microbiomes on wheat roots grown in the Red Chromosol.

Supplemental Figure S10. Effect of TaMATE1B activity in combination with TaALMT1 activity on the bacterial and fungal microbiomes on wheat roots grown in the Ferrosol.

 

All authors conceived the original research plans; P.R.R. and A.K. supervised the experiments; E.D. generated the NILs; A.K. performed the sterile growth methods and A.K. performed the soil experiments and collected tissues with assistance from P.R.R.; A.K. prepared the DNA preps and P.G.D. and A.K.H.R. sequenced the amplicons; A.K. and P.R.R. analyzed the data and statistical analyses were performed by C.F., A.K., and P.G.D.; All authors contributed to the article.

The author(s) responsible for distribution of materials integral to the findings presented in this article in accordance with the policy described in the Instructions for Authors (https://academic.oup.com/plphys/pages/General-Instructions) are: Peter R. Ryan (peter.ryan@csiro.au) and Akitomo Kawasaki (aki.kawasaki@dpi.nsw.gov.au).