The negative regulator SMAX1 controls mycorrhizal symbiosis and strigolactone biosynthesis in rice

Choi, Jeongmin; Lee, Tak; Cho, Jungnam; Servante, Emily K.; Pucker, Boas; Summers, William; Bowden, Sarah; Rahimi, Mehran; An, Kyungsook; An, Gynheung; Bouwmeester, Harro J.; Wallington, Emma J.; Oldroyd, Giles; Paszkowski, Uta.

doi:10.1038/s41467-020-16021-1

Download PDF

Article
Open access
Published: 30 April 2020

The negative regulator SMAX1 controls mycorrhizal symbiosis and strigolactone biosynthesis in rice

Nature Communications volume 11, Article number: 2114 (2020) Cite this article

14k Accesses
75 Citations
36 Altmetric
Metrics details

Subjects

Abstract

Most plants associate with beneficial arbuscular mycorrhizal (AM) fungi that facilitate soil nutrient acquisition. Prior to contact, partner recognition triggers reciprocal genetic remodelling to enable colonisation. The plant Dwarf14-Like (D14L) receptor conditions pre-symbiotic perception of AM fungi, and also detects the smoke constituent karrikin. D14L-dependent signalling mechanisms, underpinning AM symbiosis are unknown. Here, we present the identification of a negative regulator from rice, which operates downstream of the D14L receptor, corresponding to the homologue of the Arabidopsis thaliana Suppressor of MAX2-1 (AtSMAX1) that functions in karrikin signalling. We demonstrate that rice SMAX1 is a suppressor of AM symbiosis, negatively regulating fungal colonisation and transcription of crucial signalling components and conserved symbiosis genes. Similarly, rice SMAX1 negatively controls strigolactone biosynthesis, demonstrating an unexpected crosstalk between the strigolactone and karrikin signalling pathways. We conclude that removal of SMAX1, resulting from D14L signalling activation, de-represses essential symbiotic programmes and increases strigolactone hormone production.

An ancestral function of strigolactones as symbiotic rhizosphere signals

Article Open access 08 July 2022

Control of arbuscule development by a transcriptional negative feedback loop in Medicago

Article Open access 16 September 2023

PHOSPHATE STARVATION RESPONSE transcription factors enable arbuscular mycorrhiza symbiosis

Article Open access 25 January 2022

Introduction

Arbuscular mycorrhizal (AM) symbioses are prevalent mutualistic interactions that involve most land plant species and fungi of the Glomeromycotina. Mutualism is achieved through a bi-directional exchange of nutrients where the plant host provides photosynthates to the obligate biotrophic fungus, which in return delivers soil minerals, primarily phosphate to the plant (for recent reviews see refs. ^1,2). At individual infection sites, development of the interaction follows a canonical series of steps. It commences with mutual recognition between the two partners in the rhizosphere, the first committed step in the interaction, followed by physical contact and tissue invasion. Root colonisation culminates in the formation of intracellular formation of tree-like fungal feeding structures, the arbuscules, which are the site of nutrient transfer.

The initial reciprocal recognition in the soil involves the release of the plant hormone strigolactone (SL) that activates fungal metabolism³ and branching⁴. Known fungal signals on the other hand include chitooligomers (COs) and lipochitooligosaccharides (LCOs)^5,6. Whereas the fungal SL receptors are unknown, plasma membrane-bound plant receptor-like kinases (RLKs) with chitin-binding Lysin Motifs (LysM) in their extracellular domain mediate recognition of the chitinaceous signals. These include legume Nod-Factor Receptors (NFR)1 and NFR for rhizobial nod-factors and Chitin Elicitor Receptor Kinase (CERK1) for chitin-based Pathogen Associated Molecular Patterns (PAMPs)⁷. The importance of these LysM RLKs for AM symbiosis was revealed in gene knock-down or knockout material of a variety of plant species, which displayed lower fungal colonisation^{8,9,10,11,12,13,14}. The quantitatively reduced colonisation suggests that genetic redundancy might account for the absence of stronger AM phenotypes.

Perception of AM fungi by LysM RLKs triggers a calcium spiking response that leads to the activation of the common symbiosis signalling pathway (CSSP), which in legumes is equally required for the interaction with nitrogen-fixing rhizobia¹⁵. In AM symbiosis, CSSP activation causes extensive transcriptional reprogramming of the root to support the intraradical and intracellular accommodation of the fungus^1,2,16. Mutation of CSSP signalling components in phylogenetically distant plant species consistently leads to severe impairment of fungal invasion of the root cortex cell layer^17,18, documenting the central importance of the CSSP for AM symbiosis development.

Indispensable for the perception of AM fungi in the rhizosphere is the α/β-fold hydrolase Dwarf14-Like (D14L) as evidenced by rice d14l mutants, which no longer responded to AM fungi with transcriptional changes¹⁹. The D14L homologue in Arabidopsis thaliana (KArrikin Insensitive, AtKAI2) is known to bind karrikins²⁰, smoke-derived butenolides that are involved in the restoration of vegetation by promoting seed germination and seedling growth after wildfire^21,22. Interestingly, D14L is the evolutionarily older paralogue of the SL receptor Dwarf14 (D14)^23,24 pointing towards an ancient role of D14L in the perception of SL and karrikin related butenolides. In Arabidopsis, signal transduction of karrikin perception operates through the action of the E3 ligase More AXillary Growth2 (AtMAX2)²⁵ and the negative regulator Suppressor of MAX2-1 (AtSMAX1)²⁶. The rice homologue of MAX2, Dwarf3 (D3), is necessary for establishment of AM symbiosis as reflected by the absence of fungal colonisation of d3 rice mutants which reproduced the d14l symbiosis phenotype^19,27. Signalling components of the D14L/D3 signalling pathway that enable AM symbiosis are currently unknown.

Here we show that rice SMAX1 operates downstream of the D14L/D3 receptor, and negatively regulates AM symbiosis as reflected by the increased fungal colonisation and the suppression of the d14l and the d3 mutant phenotypes in smax1 double mutants. The absence of functional SMAX1 activates AM-induced genes in the absence of AM fungi, and induced SL biosynthesis. In addition, expression of a set of evolutionarily conserved genes, present in AM-host species, is dependent on functional SMAX1. Together, this suggests that the removal of the SMAX1 suppressor is required for transcriptional activation of the ancient AM symbiotic programme and for the control of SL production.

Results

Identification of rice SMAX1

We hypothesised that analogous to Arabidopsis KAI2 signalling, a member of the rice SMAX1-Like (SMXL) gene family might be involved in the regulation of symbiosis downstream of D14L. A phylogenetic tree was built using the protein sequences encoded by SMXL family members of selected major model plant species (Supplementary Fig. 1). The SMXL family was divided into four subclades, corresponding to three known biological roles in karrikin signalling (SMAX1/SMXL2)^26,28, phloem development (AtSMXL3/4/5)²⁹, and in SL-signalling (AtSMXL6,7,8^30,31,32; OsD53^33,34). This is consistent with the prior phylogenetic analysis of the SMXL family in all plant lineages^35,36. Within the SMAX1/SMXL2 subclade, the gene product of LOC_Os08g15230 was found to be the closest homologue of AtSMAX1 (42% identity, 61% similarity). It was therefore termed OsSMAX1 and will be referred to as SMAX1 throughout the manuscript. Rice SMAX1 consists of three exons, encoding a protein of 1040 amino acids (Supplementary Fig. 2). There are three predicted domains with a nuclear localisation signal (NLS) at the N-terminus, aligning to the functionally characterised NLS from homologous AtSMXL7³², and a double-ClpN domain involved in protein interaction of chaperons and two P-loop ATPases.

The nuclear localisation signal suggested SMAX1 acts in the nucleus. Plasmids containing the coding sequences of SMAX1, D14L and D3 were translationally fused with either the Green Fluorescent Protein (GFP) or Venus sequence and transiently expressed in rice leaf protoplasts under the control of the constitutive rice actin promoter. SMAX1 localised to the nucleus together with D3 and a proportion of the nucleo-cytoplasmically distributed D14L (Supplementary Fig. 3). The shared subcellular localisation of D14L, D3 and SMAX1 in the nucleus suggested a possible role in transcriptional regulation.

Rice SMAX1 functions as a suppressor of AM colonisation

To investigate the role of SMAX1 during AM symbiosis, two T-DNA insertion mutants were obtained in the Dongjin cultivar from the public mutant collection^37,38. Genotyping confirmed T-DNA insertions in the third exon (+2886 base pair (bp) from ATG) and in the 5’-untranslated region (−239 bp from ATG) in smax1-1 and smax1-2, respectively (Supplementary Fig. 4a). Reverse transcription-(RT) PCR across the SMAX1 insertion alleles revealed that in the smax1-1 allele has a truncated mRNA, shortly before the insertion site (Supplementary Fig. 2 and 4b), whereas smax1-2 produced an increased level of wild-type SMAX1 mRNA, likely due to the action of 35 S enhancer sequences within the T-DNA construct (Supplementary Fig. 4c).

To examine the effect of mutated SMAX1 on the AM symbiosis, both smax1 mutants were inoculated with Rhizophagus irregularis. Quantification of fungal colonisation at an early stage 4-week post inoculation (wpi) revealed that the smax1-1 mutant resulted in significantly higher total colonisation compared to wild-type (p = 0.002, Kruskal-Wallis test, n = 4–5), while smax1-2 showed comparably low levels of colonisation to the wild-type (p = 0.19, Kruskal-Wallis test, n = 4–5) (Fig. 1a, b). Molecular characterisation of the extent of fungal root colonisation in both mutants and the wild-type revealed 10 times more abundant transcript levels of the symbiosis marker Phosphate Transporter (PT) 11³⁹ mRNA in smax1-1 relative to wild-type and the smax1-2 allele (p = 0.01, Kruskal-Wallis test, n = 4–5, Supplementary Fig. 5a). Also at prolonged co-cultivation (7 wpi) there was a significant difference in total root colonisation of smax1-1 (p = 0.023, Kruskal-Wallis test, n = 4–5) (Fig. 1c). Closer inspection of the fungal structures showed no alterations across the plant genotypes (Supplementary Fig. 5b). These data demonstrate that the increased SMAX1 transcript levels in the smax1-2 did not affect AM colonisation, whereas truncation of SMAX1 in smax1-1 resulted in an enhancement of fungal colonisation.

**Fig. 1: Root colonisation of *smax1* mutant and wild-type by *R. irregularis*.**

To verify that mutation of SMAX1 caused increased fungal colonisation, we undertook genetic complementation of the smax1-1 mutant with wild-type SMAX1. Homozygous smax1-1 was crossed with a wild-type line, ectopically expressing SMAX1 under the control of the housekeeping rice Actin1 promoter and the F₃ generation was genotyped for homozygous smax1-1 individuals with segregating pActin1::SMAX1 (smax1-1^SMAX1). At 7 wpi, cosegregation analysis showed that smax1-1^SMAX1 plants reproduced the wild-type phenotype with significantly lower total colonisation relative to smax1-1 (Fig. 1c, p = 0.0008, Kruskal-Wallis test, n = 4–6). Molecular phenotyping confirmed the microscopic results, with transcript levels of AM marker genes AM1, AM3, PT11 and AM14¹⁷ being significantly lower in the complemented smax1-1^SMAX1 lines as compared to smax1-1 (p = 0.001, p = 0.0001, p = 0.0003 and p = 0.0008, respectively, Kruskal-Wallis test, n = 4–6) (Supplementary Fig. 6).

Together, these data inform that mutation of SMAX1 results in increased colonisation by R. irregularis, suggesting that SMAX1 negatively regulates the AM symbiosis.

SMAX1 functions downstream of the D14L/D3 receptor complex

To define the epistatic relationship between SMAX1 and the receptor complex D14L/ D3, we sought to produce double homozygous lines between d14l or d3 and smax1. Rice D14L was originally identified by genetic complementation of the hebiba mutant, harbouring a 170 kb deletion, containing D14L¹⁹. To generate genetically less complex material, the CRISPR/Cas9 technology was applied to create additional D14L loss of function alleles. Two single guide RNAs (sgRNAs) targeting the second exon of D14L produced small indels, thereby creating frameshift mutations leading to premature stop codons (Supplementary Fig. 7). Two alleles consisting of a GT (d14l-1) and a T deletion (d14l-2) resulted from the first sgRNA, while the third allele with a T insertion (d14l-3) was triggered by the second sgRNA. Next, we assessed the impact of the editing on gene function by examining AM colonisation. The three d14l alleles consistently showed strong defects in AM colonisation with below 5% colonisation whereas wild-type (cultivar Nipponbare) reached 88% (p = 0.045 for d14l-1, p = 0.025 for d14l-2, and p = 0.0008 for d14l-3, Kruskal-Wallis test, n = 3) at 7 wpi (Supplementary Fig. 8). Arbuscule development was not observed in any of the three alleles. This is consistent with the hebiba mutant phenotype, which also displayed no arbuscules as compared to high levels in corresponding wild-type. The microscopically determined phenotype was further supported by the molecular assessment of AM marker gene expression with no expression in the three d14l alleles equivalent to the hebiba deletion (Supplementary Fig. 9). The new d14l CRISPR alleles thus confirmed the essential role of D14L in AM symbiosis.

Double homozygous d14l/smax1 and d3/smax1 lines were generated by crossing smax1-1 (referred to as smax1 hereafter) with d14l-2 (referred to as d14l hereafter) and d3-1²⁷ (referred to as d3 hereafter), respectively (Fig. 2). AM colonisation was examined across the single and double mutant genotypes. As a control, siblings homozygous for d14l or d3 but with functional SMAX1 were also included. As expected d14l and d3 single mutants displayed strong symbiosis defects with below 5% total fungal colonisation; however, d14l/smax1 and d3/smax1 double homozygous mutants had restored fungal colonisation with 84.8% and 79.6%, respectively (Fig. 2). By contrast, segregating siblings containing a wild-type SMAX1 copy failed to rescue the d14l and d3 mutant phenotype (Fig. 2). Consistently, AM marker gene expression correlated with fungal root colonisation, confirming the microscopic observations (Supplementary Figs. 10 and 11). In summary, the analysis of the epistatic relationship revealed that SMAX1 functions downstream of the receptor complex, D14L and D3, in the AM symbiosis.

**Fig. 2: SMAX1 functions downstream of the karrikin receptor complex.**

To determine whether SMAX1 is regulated at the protein level, SMAX1 tagged with GFP was transiently expressed in leaf protoplasts of wild-types, d14l and d3 plants. We were unable to detect SMAX1-GFP expression in protoplasts from two different wild-type cultivars but could do so in protoplasts from d14l and d3 mutants (Supplementary Fig. 12). This may reflect degradation of SMAX1-GFP due to D14L signalling in the presence of an unknown endogenous ligand, though further work would be needed to confirm this. Notably, SMAX1 transcript levels were significantly reduced in d14l and d3 mutants compared to wild-type (p = 0.00007 and p = 0.07, respectively, Kruskal-Wallis test, n = 4–5) (Supplementary Figs. 10 and 11), suggesting the presence of a negative feedback mechanism, that may function in parallel with protein stability, to control SMAX1 protein abundance. Also during SL-signalling, the SMAX1 homologue D53 (AtSMXL6/7/8) is degraded by the D14/D3 receptor complex upon SL perception^{30,31,32,33,34}. Based on the detection of the SMAX1 protein in d14l and d3 protoplasts (Supplementary Fig. 12), an equivalent mechanism might be involved here.

Collectively, our data suggest that presence of SMAX1 blocks initiation of the AM symbiosis in d14l and d3 mutants, and that activation of the D14L-signalling pathway is required for the removal of SMAX1.

Rice SMAX1 regulates mesocotyl elongation

In Arabidopsis, the D14L-signalling pathway regulates plant development including hypocotyl elongation. Similarly, in rice, d14l and d3 mutants have pronounced mesocotyl elongation compared to wild-type, demonstrating negative regulation by the D14L-signalling pathway^19,40. To address functional conservation of SMAX1 in regulating epicotyl growth, we compared mesocotyl elongation from seedlings of smax1, d3 and d3/smax1 and the corresponding wild-type cultivars. We found that smax1 developed significantly shorter mesocotyls than the wild- type (p < 10E-5, cultivar Dongjin, Kruskal-Wallis test, n = 9–13) (Supplementary Fig. 13), thereby indicating a conserved role of rice SMAX1 in suppressing mesocotyl elongation between Arabidopsis and rice. We next sought to establish the genetic relationship between D3 and SMAX1 for mesocotyl development. It was confirmed that d3 had significantly longer mesocotyls than the wild-type (p = 0.002, cultivar Shiokari, Kruskal-Wallis test, n = 9–13) (Supplementary Fig. 13). However, mutation of SMAX1 in the d3 mutant background restored the long mesocotyl length to a range even shorter than wild-type seedlings (p = 0.0001 relative to Dongjin, p = 0.04 relative to Shiokari, Kruskal-Wallis test, n = 9–13), thus confirming that SMAX1 operates downstream of D3 in regulating mesocotyl elongation.

SMAX1 controls AM symbiosis programmes and SL biosynthesis

We performed transcriptome analyses on non-inoculated control roots to identify the downstream effects of SMAX1 removal in comparison to wild-type, d3 and d3/smax1 mutant plants (PRJNA593368 in the Gene Expression Omnibus database) (Supplementary Data 2). We identified a total of 11,674 differentially expressed genes (DEG, FDR adjusted p ≦ 0.05, fold-change ≥ |2 | ) in at least one pairwise comparison (Fig. 3a, b, Supplementary Data. 3a), reflecting the significant role of SMAX1 and D3 in root signalling processes. Separate examination of the smax1 and the d3 transcriptome revealed 1130 and 7733 DEGs compared to the corresponding wild-type cultivars. The much larger number of DEGs in d3 relative to smax1 possibly indicates the collective impact of D3 on both SL and D14L signalling.

**Fig. 3: Transcriptome analysis of mock-inoculated mutant and wild-type rice genotypes.**

To reveal the relationship between the transcriptional signatures across the genotypes, hierarchical clustering analysis was performed. The genotypes clustered into three subgroups, the two wild-type cultivars (Dongjin, Shiokari), the two d3 mutants, d3 and d3/SMAX1, and the single smax1 and double d3/smax1 mutants (Fig. 3b). A large proportion of the smax1 transcriptome, 77.3% (873 genes, Supplementary Data 3b), was similarly regulated in the d3/smax1 double mutant. In contrast, only 37.6% (2905 genes, Supplementary Data 3c) overlapped between the d3 and the double mutant. The relatedness of the smax1 and the d3/smax1 transcriptome is consistent with SMAX1 acting as a suppressor of D3.

Additionally, for a number of genes, we noticed increased transcript abundance in d3/smax1 double as compared to d3 and smax1 single mutants (Supplementary Table 3e). To our surprise, the specific symbiotic phosphate transporter PT11 was reproducibly induced in d3/smax1 mutant only, which was validated in independent experiments (Supplementary Fig. 14).

To generate understanding about the biological processes regulated by SMAX1 and D3, we conducted Gene Ontology (GO) enrichment tests with genes up-regulated in smax1, d3 and d3/smax1. (Fig. 3d, Supplementary Data. 4). Terms for seed dormancy, response to mannitol stimulus, response to water deprivation, and response to light were significantly enriched in a SMAX1- and D3- dependent fashion (p < 0.05), consistent with their known roles in seed germination, drought tolerance and photomorphogenesis (Fig. 3d)^26,41,42. On the other hand, genes involved in root development and response to auxin were overrepresented in d3 alone, lending support for a role of D3 in SL-signalling modulating root development⁴³.

Derepression of genetic programmes in response to SMAX1 removal can include both induced or suppressed transcriptional activity. We therefore separately dealt with genes upregulated (UP) or downregulated (DOWN) in smax1 and/or d3/smax1 double mutants. To this end, an expression pattern cluster analysis was performed, employing the R package Mfuzz⁴⁴. A total of 475 genes were upregulated in either smax1 or d3/smax1 as compared to wild-type or d3 (smax1-UP, Fig. 3c, Supplementary Data.5). Representative gene expression profiles were validated in independent experiments (Supplementary Fig. 14). This included D14-Like2a (DLK2a), a marker gene for D14L signalling²², which was 255- and 712- fold upregulated (p = 9.20E-09, p = 1.40E-09, One-way ANOVA, n = 3 for Experiment I) in smax1 and d3/smax1 compared to Dongjin wild-type, respectively (Supplementary Fig. 14a). Consistently, in the complemented smax1^SMAX1 line, mRNA levels of DLK2a were significantly reduced relative to the smax1 mutant (Supplementary Fig. 15). By contrast, gene expression of DLK2a was 81-fold decreased in d14l compared to wild-type (p = 0.0012, two-sided student’s t-test, n = 3) (Supplementary Fig. 16).

GO term enrichment tests (p < 0.05) of smax1-UP identified genes belonging to the biosynthetic pathway for isoprenoids, carotenoids and the resulting hormones, SL, gibberellic acid (GA) and abscisic acid (ABA, Fig. 3d, Supplementary Data 6). As SL is known to activate AM fungi for symbiosis^3,4, we extracted the gene expression profiles for all available biosynthetic genes. The key catalytic enzyme leading into the methylerythritol phosphate (MEP) pathway, 1-deoxy-D-xylulose 5-phosphate synthase2 (DXS2)⁴⁵ and the beta carotene isomerase involved in the first committed step of SL biosynthesis, Dwarf 27 (D27), were uniformly upregulated in smax1, d3 and d3/smax1 as compared to wild-types (Fig. 3e, Supplementary Fig. 17). Next, the genes involved in production of the SL precursor, carlactone, such as Carotenoid Cleavage Dioxygenase7 and 8 (CCD7 and CCD8) showed the same pattern. Rice has five More Axillary Growth (MAX1) cytochrome P450s, subfamily CYP711, required for the formation of the rice SL orobanchol⁴⁶. Among these, CYP711A2 Os01g0700900, involved in conversion from carlactone to carlactonoic acid followed by deoxyorobanchol⁴⁷, was upregulated in smax1, d3 and d3/smax1 (Fig. 3e and Supplementary Fig. 17). The GRAS transcription factor Nodulation Signalling Pathway2 (NSP2) regulates the induction of SL production under certain conditions^48,49, and was also highly induced in smax1 and d3/smax1, mirroring the significant increase in transcript levels of the SL biosynthesis genes (Fig. 3e). By contrast, transcripts of both D27 and CYP711A2 (Os01g0700900) decreased in d14l while DXS2 was not regulated (Supplementary Fig. 16). Thus, our data document that the entire SL biosynthesis pathway was transcriptionally upregulated when SMAX1 was absent. To verify possible correlation with SL production, we measured root SL contents across the different genotypes (Supplementary Fig. 18). We were able to measure the canonical rice SL 4-deoxyorobanchol (4-DO) in the wild-type Shiokari cultivar, and as a control, confirmed that 4-DO was not detected in the SL biosynthesis mutant d27 (Shiokari cultivar). However, we were unable to detect 4-DO in the Dongjin cultivar, including smax1. The 4-DO levels in roots of the two SL perception mutants, d3 and d14, were slightly elevated (p = 0.08, 0.13, respectively, Kruskall-Wallis test, n = 3-4). Interestingly, 4-DO was significantly increased (p = 0.002, Kruskal-Wallis test, n = 3-4) by seven-fold in the d3/smax1 mutant, consistent with the collectively increased transcript levels of the SL biosynthetic genes. Another type of SL, methoxy-5-deoxystrigol isomer 1 (MeO-5-DS-is1)⁵⁰, was detected in smax1 and d3/smax1 confirming the increased generation of SL in the absence of SMAX1. These data therefore suggest that D14L signalling positively regulates SL biosynthesis in rice roots by eliminating the negative regulator SMAX1.

A total of 603 genes were found to be significantly downregulated in smax1 or smax1/d3 relative to wild-type or d3 (smax1-DOWN, Fig. 3c, Supplementary Data. 7). GO enrichment analysis revealed that genes downregulated in smax1 and d3 shared similar categories across a diverse range of biological processes, such as response to karrikin and water transport, in line with the known role of the D14L-signalling pathway in karrikin perception and drought resistance (Supplementary Fig. 19, Supplementary Data 8 and 9)^22,42. Collectively, in addition to providing further support for the previously described importance of D3 and SMAX1 in aspects of plant development, the genes whose transcription is regulated by SMAX1 identified a regulatory link between D14L-signalling and the biosynthesis of major carotenoid-derived hormones, in particular SL.

To identify from the SMAX1-regulated genes those of potential relevance for AM symbiosis, we compared the smax1-UP with genes that were previously reported to be upregulated during colonisation of rice roots by R. irregularis⁵¹ (Fig. 4a). A large proportion of 135 genes (28.4%) with known induced expression profiles in response to fungal colonisation of wild-type roots displayed activated transcription in smax1-UP (Fig. 4a, categories I and III), indicating that the SMAX1 regulon exerts a degree of control over the expression of these AM-associated genes. Next, we compared smax1-UP with genes conserved in mycorrhizal but absent from non-mycorrhizal plant species⁵². We found that a significant fraction of the evolutionarily conserved genes (21%)⁵² were transcriptionally regulated by the presence of SMAX1 (Fig. 4a, categories II and III, Supplementary Data. 10), consistent with the ancient nature of the D14L-signalling pathway components. Among these, transcripts of 9% (42 genes) of the smax1-UP genes transcription were not detected in the wild-type (read count 0) but accumulated to significant levels (p < 0.05) in both smax1 or d3/smax1 (Fig. 4a numbers in parenthesis, Supplementary Data 11). Together, transcription of these genes appeared to strictly depend on the absence of SMAX1, suggesting that their expression occurred upon activation of the D14L-signalling pathway.

**Fig. 4: SMAX1 regulates AM-associated genes.**

Next, we examined several genes with known roles in AM symbiosis such as critical CSSP signalling components. The kinases SYMRK (Fig. 4a, category II)^53,54, CCaMK (Fig. 4a, category IV)^17,55,56 and the transcription factor CYCLOPS (Fig. 4a, category III)^17,57, are under the control of the SMAX1 regulon. In addition, and as mentioned earlier, the smax1-UP gene list showed an overrepresentation of GO terms associated with SL biosynthesis (Fig. 3d, Fig. 4a, Supplementary Data. 6). Furthermore, three kinases, LysM-RLK2 (NFR5) required for perception of fungal LCOs^12,13,14,58, LysM-RLK3 (LYK1) and Kinase 6 (KIN6), the closest homolog of Arbuscular Receptor-like Kinase (OsARK1, AM14) associated with AM development⁵⁹, were also found on this list. Increased transcript levels of NFR5, LYK1 and KIN6 in smax1-UP were confirmed in independent experiments (Supplementary Fig. 14a).

Consistent with the presence of SMAX1 having a negative effect on transcriptional activators, a considerable number of transcription factors were part of the smax1-UP list (Fig. 4d). In addition, we observed that a total of 88 genes from the smax1-DOWN list were also suppressed in wild- type roots during mycorrhizal colonisation (Fig. 4b). GO enrichment analysis of the smax1-DOWN gene list identified overrepresentation of genes involved in cell-wall organisation (Supplementary Fig. 19). Of these, 17 genes showed commonly decreased transcript levels in wild-type roots when colonized by AM fungi⁵¹. The majority of these are predicted to encode expansins and peroxidases, implicated in secondary cell-wall modification⁶⁰. In the context of AM symbiosis, it was hypothesized that reduction of such cell-wall modification genes could either support the AM-induced root architectural changes, or alternatively facilitate intercellular fungal proliferations⁵¹.

In summary, we found significant overlap between the SMAX1 regulon and genes required for AM symbiosis or evolutionarily conserved across mycorrhizal plant species (Fig. 4c). Unexpectedly, genetic removal of SMAX1 also led to the induction of SL biosynthesis. Together this lends support for SMAX1 as an essential regulator of AM symbiosis programmes and SL hormone balance.

Discussion

Transcriptional derepression occurs commonly in plant hormonal signalling to enable rapid responses to environmental changes⁶¹. Here, we demonstrate that the AM symbiosis depends on double negative regulatory mechanisms that link hormonal and pre-symbiotic signalling. We identified rice SMAX1 as a suppressor of AM symbiosis development, functioning downstream of the D14L/D3 receptor complex since the SMAX1 mutation fully restored AM fungal colonisation in the d14l and d3 mutant backgrounds. We conclude that activation of the D14L-signalling pathway results in removal of SMAX1 (which is further supported by the detection of SMAX1 protein in d14l and d3 mutant but not in wild-type) to de-repress critical symbiosis programmes. The significant changes in the transcriptome profile between smax1 and wild-type however suggests a qualitative difference between removing SMAX1 genetically or through signalling turnover.

Guided by hormonal signalling pathways involving derepression, we hypothesised that SMAX1 directly or indirectly negatively regulates the activity of transcriptional regulators of AM symbiosis programmes (Fig. 5). Consistent with this, the transcriptome analysis of smax1 single and d3/smax1 double mutants revealed genes induced and repressed in smax1-UP and smax1-DOWN gene sets, suggesting that transcriptional activators and repressors might both be targets of SMAX1 suppression. Indeed, a large number of transcription factors themselves were transcriptionally regulated in the absence of functional SMAX1, including the CSSP members CYCLOPS⁵⁷, which is vital for AM symbiosis establishment, and NSP2, which regulates the induction of SL biosynthesis^48,49. Genes across the entire SL synthesis pathway showed significantly increased transcript levels in smax1 single and d3/smax1 double mutant lines, and apparently resulted in the increased production of the SL hormone itself.

**Fig. 5: Hypothetical model for the action of SMAX1 during AM symbiosis.**

CYCLOPS and several other genes including CSSP signalling components (NFR5, SYMRK, CCAMK) also showed induction in smax1 mutant backgrounds. The strong d14l symbiosis phenotype cannot easily be explained by modification of SL production alone¹⁹ but might be attributable to the collective alteration of the transcriptional activity of several CSSP components. In summary, the data shown here are consistent with D14L signalling controlling the integration of SL biosynthesis and AM symbiosis development (Fig. 5).

Knowledge on the chemical nature of ligands that bind and activate D14L-signalling is currently restricted to karrikin, which in nature requires pyrolysis of plant cellulose or sugars (for review see ref. ⁶²). However, the developmental phenotypes of A. thaliana kai2 argue for the production of endogenous karrikin-like binding substrates for D14L⁶³. The insensitivity of d14l rice roots to AM fungi might be brought about by the need for D14L-signalling activation via either an endogenous or a fungal signal¹⁹. Our failure to observe detectable levels of SMAX1 protein in wild-type protoplasts is consistent with the availability of an endogenous ligand that, via binding to D14L would launch the signal transduction resulting in SMAX1 removal (Fig. 5). We therefore propose that an endogenous signal conditions the root for pre-symbiotic recognition of AM fungi via activation of the D14L-signalling pathway leading to elimination of SMAX1 suppression.

Noteworthy is also the frequently observed enhanced effect in the amplitude of the smax1-UP gene list in d3/smax1 double knockout, which was particularly pronounced for the genes encoding the SL biosynthesis pathway. It is possible that the negative feedback mechanism, which results in increased SL synthesis in the SL-signalling mutant d3⁶⁴ may account for the boosted transcript levels in the double relative to the single d3 and smax1 mutants. However, the combinatorial effects extend also into SL-unrelated genes, surprisingly including the upregulation of the AM specific phosphate transporter PT11 in d3/smax1 but not in smax1 backgrounds. The activation of AM symbiosis specific phosphate transporters in the absence of AM colonisation has been reported previously, and resulted from the overexpression of transcription factors such as RAM1⁶⁵, CBX1⁶⁶ and WRI5a⁶⁷. While the mechanism underpinning the transcription of PT11 in d3/smax1 plants is unclear, it may be that either D3 or SMAX1 (or both) serve additional signalling functions, independent of D14 and D14L, which only in combination de-repress relevant transcription factors.

After the divergence of monocots and dicots, SMAX1 duplication gave rise to a closest paralog, SMXL2 (Supplementary Fig. 1). In Arabidopsis, SMXL2 functions redundantly to SMAX1 in plant development^28,68,69. While it is possible that SMXL2 also plays a role in AM symbiosis, a loss of function of SMAX1 alone recovered the lack of AM colonization in both d14l and d3 mutants (Fig. 2). This suggests limited functional redundancy for AM symbiosis between SMAX1 and SMXL2.

In summary, AM symbiosis requires the degradation of SMAX1 to transcriptionally activate genes vital for communication and accommodation with the AM fungi and for regulating SL balance. In addition, the activation of the evolutionarily conserved AM genes through SMAX1 removal suggests an ancient regulatory role of the D14L-signalling pathway in AM symbiosis.

Methods

Plant materials

All rice lines used in this study are Oryza sativa L. ssp. japonica varieties. Two smax1 T-DNA insertion lines, smax1-1 (3D-00402) and smax1-2 (2D-00142), were generated in the Dongjin cultivar^37,38. The d3 mutant contains a putative transposable element insertion at the first exon⁷⁰ in the Shiokari cultivar. Strigolactone biosynthesis (d27) and signaling mutant (d14) are also in the Shiokari cultivar⁷⁰. The hebiba mutant arose in the Nihonmasari cultivar and contains a 170 kb deletion as a result of fast neutron radiation mutagenesis. The hebiba^AOC was generated by introducing the jasmonate biosynthesis gene, Allene Oxide Cylcase (AOC) with the native promoter into the hebiba mutant background¹⁹. All d14l CRISPR lines were generated in Nipponbare cultivar as described below.

Plant growth and conditions for AM colonisation

Seeds were sterilized in 70% (v/v with water) ethanol briefly and incubated with 3% (v/v with water) sodium hypochlorite solution on a shaker at room temperature for 20 min. Seeds were rinsed with autoclaved water three times before planting on 0.6% (w/v with water) Bacto agar. For AM colonisation, seedlings were grown for four days at 30 °C in the dark and were transferred into cones containing sand and 300 Rhizophagus irregularis fungal spores (unless otherwise described). Fungal spores were freshly extracted from transgenic hairy carrot root cultures on the day of inoculation and were resuspended in water. The plants were grown in a walk-in growth chamber where day/night length is 12/12 h at 28/20 °C with 60% relative humidity. For the first week post inoculation, plants were given water to promote AM colonisation. From the following week plants were fertilized with half-strength Hoagland solution containing 25 μM of phosphate with 0.01% (w/v) iron supplement, Sequestrene Rapid (Syngenta) twice a week.

Phylogeny tree construction

Homologous sequences of Arabidopsis thaliana SMAX1 were retrieved from sources listed below. The final sequence set (Supplementary Data 01) was aligned via MAFFT v7.299b⁷¹. To exclude bias through the order of input sequences in this alignment step, the sequence order was shuffled 100 times and aligned again via MAFFT. Phyx v0.1 was applied to trim columns with low occupancy (-p 0.1) from the alignment⁷². The final tree was generated with RAxML v8.2.11⁷³ with the following parameters: '-f a -p 12345 -x 12345 -c 25 -m PROTGAMMAAUTO -# 10.

Source of sequences are as below.

Medicago truncatula, Medicago truncatula Genome Database, (http://www.medicagogenome.org⁷⁴), 2019

Lotus japonicus, Lotus base, (https://lotus.au.dk⁷⁵), 2019

Oryza Sativa, Rice genotype annotation project, (http://rice.plantbiology.msu.edu⁷⁶), 2019

Arabidopsis thaliana, The Arabidopsis Information Resource, https://www.arabidopsis.org), 2019

Brachypodium distachyon v3.1, Zea mays Ensembl_18, Hordeum vulgare r1, Marchantia polymorpha v12.1 (https://phytozome.jgi.doe.gov/pz/portal.html⁷⁷, 2019.

Fungal structure quantification and microscopic imaging

Roots were stained with Trypan blue and mounted on a glass slide before observation under a brightfield microscope according to a modified gridline intersect method⁷⁸. Representative images were captured by Keyence VHX-5000 Digital microscope (Keyence, Milton Keynes, UK). For the detailed arbuscule images, roots were stained with 5 μg/mL wheat germ agglutinin conjugated with Alexa 488 fluorescent dye in 1X phosphate-buffered saline solution (pH 7.4). After 7 days incubation at 4 °C in the dark, the roots were counterstained with 5 μg/mL of propidium iodide to visualize cell-wall. Images were taken by a Leica SP8 microscope with excitation at 488 nm and 514 nm, emission at 524 nm and 617 nm for Alexa488 and propidium iodide, respectively.

Rice transformation

Callus for transformation of rice cultivars Nipponbare and Dongjin was generated by plating surface-sterilised mature seed, with embryo axes removed, on N6DT medium (3.95 g/L N6 basal salts, 30 g/L sucrose, 300 mg/L casein hydrolysate, 100 mg/L myo-inositol, 2878 mg/L proline, 0.5 mg/L nicotinic acid, 0.5 mg/L pyridoxine HCl, 1 mg/L thiamine HCl, 37.3 mg/L Na₂EDTA, 27.8 mg/L FeSO₄, 2 mg/L 2,4-D Na salt, 150 mg/L Timentin, 4 g/L Gelrite, pH 5.8). Plates were sealed with Parafilm and cultured in the dark at 28 °C for 17 days. Callus was cut into 2–4 mm pieces, plated on fresh N6DT and cultured as before for a further 4 days. Agrobacterium strain EHA105 was cultured at 28 °C overnight on YEP medium with appropriate antibiotic selection. Bacteria were scraped from the plate and resuspended in 1 mL AAM medium with 20ug/mL acetosyringone (Sigma Aldrich). Approximately 500μLs of this suspension was then transferred to a conical flask containing 50 mL AAM with acetosyringone (20ug/mL) and adjusted as necessary to give an OD₆₀₀ of 0.2–0.3. The Agrobacterium suspension was incubated at 28°C with shaking (150 rpm) for 1.5–2 h after which time 10% pluronic F-68 (10μL/mL, Sigma Aldrich) was added. Rice callus was transferred to Universal tubes, inoculated with 10 mLs of the Agrobacterium culture and incubated on the bench for 5 min with gentle agitation. Following removal of the inoculum the callus was transferred to a Petri dish containing sterile filter paper, sealed with Parafilm, and co-cultivated for 3 days at 25 °C day/23 °C night in the dark.

Callus pieces were transferred to N6DT medium containing 50 mg/L hygromycin, plates sealed with micropore tape (3 M) and cultured in the dark at 30 °C for 10 days. Callus was then transferred to RPT medium (4.3 g/L MS salts, 30 g/L sucrose, 300 mg/L casein hydrolysate, 100 mg/L myo-inositol, 500 mg/L proline, 500 mg/L glutamine, 0.5 mg/L nicotinic acid, 0.5 mg/L pyridoxine HCl, 0.1 mg/L thiamine HCl, 37.3 mg/L Na₂EDTA, 27.8 mg/L FeSO₄, 1 mg/L NAA, 2 mg/L BAP, 5 mg/L ABA, 150 mg/L Timentin, 5 g/L Gelrite) containing 50 mg/L hygromycin, again sealed with micropore tape and cultured in the dark for a further 5 days. Viable callus was then transferred to RMT medium (4.3 g/L MS salts, 30 g/L sucrose, 1000 mg/L casein hydrolysate, 100 mg/L myo-inositol, 0.5 mg/L nicotinic acid, 0.5 mg/L pyridoxine HCl, 0.1 mg/L thiamine HCl, 37.3 mg/L Na₂EDTA, 27.8 mg/L FeSO₄, 0.5 mg/L NAA, 3 mg/L BAP, 150 mg/L Timentin, 5 g/L Gelrite) containing 25 mg/L hygromycin (RMT25H), sealed with micropore tape and cultured at 28 °C (day)/26 °C (night) with a 16 h daylength (100 uE m⁻²s⁻¹). After 10 days, regenerating material was transferred to fresh RMT25H. Regenerating shoots were transferred to OS3T medium (2.2 g/L MS medium, 15 g/L sucrose, 500 mg/L MES, 150 mg/L Timentin, 2 g/L Phytagel) containing 25 mg/L hygromycin (OS3T25H) in small pots (Greiner 175 ml lidded).

Leaves from rooted plantlets were sampled into 2 mL Safelock tubes containing two 3 mm steel balls and tissue ground using a Genogrinder set to 50 s/m for 30 seconds. Genomic DNA was extracted using sucrose extraction buffer (50 mM Tris-HCl pH 7.5, 300 mM NaCl, 300 mM sucrose), tubes incubated at 95–100 °C for 10 min in a heating block and micro-centrifuged for 30 seconds at 14,000 rpm. The supernatant was then used in multiplex PCR to confirm transformation using primers for the hpt selectable marker gene (Supplementary Table 3) and a cyclophillin2 endogenous control gene (Supplementary Table 3)⁵⁹.

RNA extraction and quantitative RT-PCR

Harvested roots were frozen in liquid nitrogen and stored at −80 °C until extraction. Roots were homogenized with two 4 mm metal bearings in 2 mL tubes by using TissueLyser II (Qiagen) at 30 Hz for 1 min twice. Total RNAs were extracted by Trizol method. The RNA purity and integrity were confirmed by PCR with GAPDH primers (Supplementary Table 3) spanning an intron⁷⁹ and RNA electrophoresis in 2.5% (w/v) agarose gel, respectively. One microgram of RNA was treated with DNase I prior to cDNA synthesis using reverse transcriptase II (Invitrogen). Quantitative RT-PCR was performed by measuring the intensity of SYBR Green Fluorescent dye conjugated to double-stranded DNA molecules using CFX96 Touch Real-Time PCR detection system (Bio-Rad). Gene expression values were normalized to geometric mean of three rice housekeeping genes, Cyclophillin2, GAPDH and Ubiquitin^11,80.

Subcellular localisation

D14L, D3 and SMAX1 coding sequences (CDs) were synthesized by GeneArt (Life Technologies). D14L and D3 constructs were assembled according to the Multisite Gateway system (Invitrogen). D14L and D3 CDs were cloned into the pDONR221 vector using Gateway (Invitrogen) BP reaction. The rice Actin promoter containing an intron was amplified from GoldenGate Level 0 module (EC15216) and introduced into the pDONR1R4 vector using Gateway reactions. The Venus coding region was cloned in the pDONR2R3 and the final constructs were assembly into the pB7m34GW vector by LR reactions. SMAX1 constructs were cloned according to GoldenGate Cloning system^81,82. Protoplast transformation was conducted with 7 day-old leaf protoplasts grown in half-strength solid MS media (1% BactoAgar) at 30 °C in the dark¹⁹. Finely chopped leaves (1 mm) were incubated in the enzyme solution (1.5% Cellulase RS (Duchefa Biochemie), 0.75% Macrozyme R-10 (Duchefa Biochemie), 0.6 M mannitol, 10 mM MES buffer pH 5.7, 10 mM CaCl2, and 0.1% BSA) for 5 h in the dark with gentle shaking (60 rpm, 28 °C). The digestion was stopped by adding equal volume of W5 solution (154 mM NaCl, 125 mM CaCl₂, 5 mM KCl and 2 mM MES at pH 5.7). Protoplasts were collected by filtering through 40 μm nylon mesh followed by centrifugation at 300 × g for 4 min at 4 °C. Cells were washed with W5 solution twice and resuspended in MMG solution (0.4 M mannitol, 15 mM MgCl₂ and 4 mM MES at pH 5.7). For transfection, 5 μg of freshly prepared plasmids were incubated with 4 × 10⁵ cells of protoplasts in the presence of equal volume of PEG solution (40% (W/V) PEG 4000; Fluka, 0.2 M mannitol and 0.1 M CaCl2) for 15 min in the dark. The transfection was terminated by adding the same volume of W5 solution. Finally, the supernatant was removed by gentle centrifugation (300 × g for 4 min at 4 °C) and the protoplast were resuspended in WI solution (0.5 M mannitol, 20 mM KCl and 4 mM MES at pH 5.7) for 12 h in the dark. The images were taken using confocal laser scanning microscope Leica TCS SP5. GFP and Venus fluorescence were excited with argon laser at 488 nm and 514 nm and captured with a 490–550 nm and 520–600 nm filters, respectively.

Genotyping

Leaves were collected in 2 mL tubes containing three 2 mm glass beads and homogenized using TissueLyser II (Qiagen) at 30 Hz for 1 min twice. A simple extraction buffer (1 M KCl, 0.1 M Tris-HCl buffer pH 7.5, 10 mM EDTA) was added and boiled at 98 °C for 10 min. Tubes were centrifuged for 5 min at 11,000 rcf and the supernatant was collected in a new 1.5 mL tube and mixed with equal volume of 100% isopropanol. After brief vortexing, the tubes were centrifuged at 11,000 rcf for 15 min. The pellet was washed with 70%. (v/v with water) ethanol and dried at RT and respended in sterilized MilliQ water prior to a PCR reaction with primers listed in Supplementary Table 3.

D14L CRISPR constructs and characterisation

To generate Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) alleles two single guide RNA (sgRNA)s targeting exons of D14L were designed using the program, CRISPR-P (http://crispr.hzau.edu.cn/CRISPR/, version 1.0)⁸³. The sgRNAs were comprised of (N)₂₀GG where NGG served as Protospacer Adjacent Motif (PAM, N is any nucleotide) and ones with the least off-targets were chosen. The sgRNAs were cloned into the Gateway compatible vector system designed for rice⁸⁴. Briefly, a pair of oligonucleotides was synthesized for each small guide RNA (Supplementary Table 3) to create overhangs to be ligated to the entry vector that was digested with the restriction enzyme, BsaI. Finally, Gateway LR reaction (Invitrogen) was performed to incorporate sgRNAs into the destination vector. Plant transformation was performed in wild-type cultivar Nipponbare by selecting hygromycin resistant calli⁵⁹. Gene editing of primary transformants was verified by sequencing PCR products (Supplementary Table 3) around the PAM sequence. In the subsequent generation, plants carrying homozygous mutations but not the CAS9 construct (Supplementary Table 3) were chosen for seed propagation. Finally, the T3 generation of d14l CRISPR alleles was used for the AM colonisation assay and gene expression studies.

SMAX1 complementation line

The SMAX1 coding region was synthesized by GeneArt (Life Technologie) and the SMAX1 terminator (800 bp after stop codon) was PCR amplified using primers listed in Supplementary Table 3. The coding sequence was cloned between rice Actin promoter and SMAX1 terminator according to GoldenGate Cloning system to create an expression cassette flanked by Gateway attL1 and L2 sites, which was then recombined into the binary destination vector pEW343-R1R2 containing a hygromycin selection cassette^81,82.

RNA-seq sample preparation

Rice seeds were grown in 0.6% Bacto agar plates for 7 days at 30 °C in the dark. Seedlings were transferred to sand and grown for two weeks without any fertilizer supplementation in the same growth chamber described above. We collected three replicates comprised of eight plants per replicate for each genotype to minimize the cultivar effect. Each biological replicate was moved into a 60 mL tube containing 30 mL half- strength Hoagland solution (Phosphate 25 μM) for four days before harvest. Total RNA was extracted using Trizol followed by LiCl₄ precipitation. DNA was removed from 4 μg of RNA by Turbo DNase treatment followed by Column purification. DNase free RNA was confirmed by PCR and RNA quality was assessed by Bioanalyzer RNA6000 pico chip (Agilent). The RNA-seq library was generated with 2 μg of total RNA using TruSeq Stranded mRNA Library Prep Kit High Throughput (Illumina, RS-122-2013) according to the manufacturer’s protocol (Catalog # RS-122-9004DOC, Part # 15031047 Rev.E). The library quantity and quality were measured using DNA1000 chip on Bioanalyzer 1200 (Agilent Technology). In total 18 samples (six genotypes and three biological replicates) were multiplexed and sequenced on a NextSeq500 as a 2 × 75 nt paired-end run.

RNA-seq data analysis

Raw fastq reads were cleaned by removing the adapter and the low-quality sequences using Trimmomatic v0.38⁸⁵. Mapping of the cleaned reads was performed by TopHat2 with the default settings against MSU7 version of the rice reference genome (http://rice.plantbiology.msu.edu)⁸⁶. The resulting BAM files were subjected to Cufflinks for transcript assembly and then to Cuffquant and Cuffnorm pipeline⁸⁷ to quantify the transcript levels. Transcript assembly was guided by the reference MSU7 annotation (http://rice.plantbiology.msu.edu/pub/data/Eukaryotic_Projects/o_sativa/annotatioa_dbs/pseudomolecules/version_7.0/all.dir/) and all the parameters used in Cufflinks suite were set to the default. Integrative Genomics Viewer (IGV)⁸⁸ was used to visualise sequencing data.

Preprocessing RNA-seq data and differential gene expression

To address for outliers in sequencing replicates, non-metric multidimensional scaling was performed. Replicate 1 of Shiokari sample was identified as an outlier and was excluded from the subsequent analysis. Preprocessing and filtering of the RNA-seq data was done by R package edgeR⁸⁹, leaving 21,866 genes to be analysed in downstream steps. Differentially expressed genes (DEGs) were identified by using the R package DESeq2⁹⁰ for all 15 pairwise comparisons among 6 genotypes with the threshold of fold-change >2 and adjusted p-value < 0.05. It should be noted that different cultivars could affect the phenotypic characterization and the gene expression analysis due to the heterogeneous genetic make-up of each individual plant derived from a mix of traits segregating in the background. The heatmaps for DEGs from all pairwise comparisons were plotted by row standardizing the expression values to z-scores. A Z-score shows a single gene expression value relative to the mean of that of all six genotypes. A subset of DEGs were validated by qRT-PCR with cDNA from the same RNA and confirmed in a second independent experiment.

Clustering differentially expressed genes

To obtain smax1-UP and -DOWN, three DEGs from the comparisons, smax1 vs Dongjin wild-type, d3/smax1 vs Dongjin wild-type and d3/smax1 vs Shiokari wild-type, were combined. Second, two DEGs from the comparisons, d3/smax1 vs d3 and d3/smax1 vs d3/SMAX1 were combined. These were then clustered based on their expression patterns across six genotypes by fuzzy c-means clustering by applying the R package Mfuzz⁴⁴. Median FPKM (Fragments Per Kilobase of exon model per Million reads mapped) values of replicates for each genotype were used to reduce complexity. During this process, 3 genes (LOC_Os01g29530, LOC_Os06g37760, and LOC_Os11g30690) were lost because the median value across all samples was 0. To determine the number of clusters k, the range of feasible k was initially selected by observing where the minimum centroid distance among the clusters for each k starts to plateau. From the range, k was pinpointed by observing the significance of Gene Ontology term enrichments for each cluster. From these clusters, several clusters were chosen based on their gene expression patterns across six genotypes. We chose the patterns showing consistent up and downregulation in smax1- and d3/smax1- compared to the rest of the genotypes. Finally, we performed manual curation based on pattern supported by adjusted p-value < 0.05 to finalize the list.

Gene ontology enrichment analysis

To generate a more comprehensive list of rice genes with Gene Ontology (GO)⁹¹ terms, Arabidopsis GO terms from the NCBI gene database⁹² were transferred by orthology and integrated with rice japonica GO terms from Ensembl plant Biomart⁹³. We used reciprocal BLASTp (version 2.7.1+) with the e-value threshold of 1E-10 to identify strict orthologues of rice and Arabidopsis. Only the terms annotated in Arabidopsis thaliana with experimental (EXP, IDA, IPI, IMP, IGI, IEP) and traceable curated (TAS) evidence were transferred. Gene set analysis was performed with one-tailed Fisher’s exact test and the p-values were corrected by simulations which the component genes were randomly selected 1000 times. Only the GO terms of biological process class with more than three genes were analysed. The threshold for enrichment was the simulation corrected p-value of 0.05.

Root exudate collection and strigolactone isolation

Seeds were surface sterilized with 2% bleach for 30 min and germinated on 0.6% Bacto agar at 30 °C in darkness for 1 week. Six seedlings were transferred to 1.5 litre pots filled with autoclaved sand (five replicates of six seedlings per genotype). The plants were grown for 3 weeks under a 16 hour photoperiod (150 μM.m⁻²s⁻¹) in a temperature-controlled greenhouse at 28°C with 65% relative humidity. Each pot was supplied with demineralised water for two weeks, and then with half-strength modified Hoagland’s nutrient solution containing 10% phosphorus (P; 40 µM) for 1 week. Root exudates were collected from 3-week-old rice plants by adding and draining 300 mL water (containing 5% ethanol) through each pot. The exudates were frozen using liquid nitrogen and stored at −80 °C until used. For strigolactone isolation, 50 mL of root exudates were passed through preconditioned DSC-18 SPE cartridges (500 mg per 6 mL). After sample application, the cartridges were washed with 12 mL water (two times, 6 mL), and the strigolactones were subsequently eluted with 6 mL of 100% acetone (two times, 3 mL). The extracts were evaporated using SpeedVac, and the residues were redissolved in 50 µL of ethyl acetate. GR24 (5 pmol) was added to each sample as internal standard. For funther purification, 4 mL of hexane was added to the solution and was loaded on preconditioned Phenomenex Strata SL-1 Silica (200 mg/3 mL) columns. The columns were washed with 2 mL of 100% hexane, and SLs were eluted with 3 mL of ethyle acetate: hexane (9:1). The solvent was evaporated in a SpeedVac, and the residues were redissolved in 100 μL of acetonitrile: water (25:75, vol/vol). The solutions were filtered through Micro-Centrifuge 0.2 µm NYLON filters and stored at −20 °C until analysis⁵⁰.

Strigolactone analysis using LC-MS

Strigolactones were analyzed using an Acquity UPLC^TM System (Waters, Milford, MA, USA) coupled to a Xevo® TQ-XS tandem quadrupole mass spectrometer (Waters MS Technologies, Manchester, UK) with an electrospray interface. The separation was performed on an Acquity BEH C18 column (2.1 × 100 mm, 1.7 μm) at flow rate 0.45 mL/min and temperature 45 °C, with 12 min binary gradient elution as follows: 0–0.4 min (85% A), 0.4–5 min (60% A), 5–8 min (35% A), 8–8.7 min (35% A), 8.7–9.5 (5% A), column wash for 0.8 min (5% A) and final column equilibration for 3 min for initial conditions (85% A), where A = 15 mM formic acid/water and B = 15 mM formic acid/acetonitrile (v/v). The eluate was introduced in the ion source of the mass spectrometer and analysed using the following settings: ion source/desolvation temperature (120/550 °C), desolvation/cone gas (nitrogen) flow (1000/150 L/hr), collision gas (argon) flow 0.15 ml/min. Compounds were analyzed in multiple reaction monitoring mode (MRM) and quantified by diagnostic transitions of: 4-deoxyorobanchol (331 > 97), putative methoxy-5-deoxystrigol isomers (361 > 97) using optimized cone voltage (20–22 V) and collision energy (20 eV). The MassLynx^TM software, version 4.2 (Waters) was used to operate the instrument, acquire and process the data.

Accession number

SMAX1 (LOC_08g15230), D14L (LOC_Os03g32270), D3 (LOC_Os06g06050), Cyclophillin2 (LOC_Os02g02890), GAPDH (LOC_Os08g03290), Polyubiquitin (LOC_Os06g46770), RiEF1a (ABB90955), AM1 (LOC_Os04g04750), AM3 (LOC_Os01g57400), AM14 (ARK1, LOC_Os11g26140), PT11 (LOC_Os01g46860), DLK2a (LOC_Os05g15240), NFR5 (LOC_Os03g13080), LYK1 (LOC_Os01g36550), KIN6 (LOC_Os04g39180), DXS2 (LOC_Os07g09190), PSY (LOC_Os12g43130), OR (LOC_Os02g33149), Z‐ISO (LOC_Os12g21710), ZDS (LOC_Os07g10490), D27 (LOC_Os11g37650), NSP2 (LOC_Os03g15680), DIP1b (LOC_Os11g06180), CCD7 (LOC_Os04g46470), CCD8, (LOC_Os01g54270), MAX1 (CYP711A2, Os01g0700900, LOC_Os01g50530; CYP711A3, Os01g0701400, LOC_Os01g50580), Actin1 (LOC_Os03g50890).

Data availability

The data presented in this article are available in Supplementary Information file. The raw data of transcriptomics were deposited on GEO under the ID PRJNA593368. Other biological materials are available upon request to the corresponding author. The individual data point underlying all the figures, additional images of representative microscopic images, and original gel/blot images are provided as a Source Data file.

References

Chiu C. H., Paszkowski U. Mechanisms and impact of symbiotic phosphate acquisition. Cold Spring Harb. Perspect. Biol. (2019). https://doi.org/10.1101/cshperspect.a034603.
Choi, J., Summers, W. & Paszkowski, U. Mechanisms underlying establishment of Arbuscular Mycorrhizal symbioses. Annu Rev. Phytopathol. 56, 135–160 (2018).
Article CAS PubMed Google Scholar
Besserer, A. et al. Strigolactones stimulate arbuscular mycorrhizal fungi by activating mitochondria. PLoS Biol. 4, e226 (2006).
Article PubMed PubMed Central CAS Google Scholar
Akiyama, K., Matsuzaki, K. & Hayashi, H. Plant sesquiterpenes induce hyphal branching in arbuscular mycorrhizal fungi. Nature 435, 824–827 (2005).
Article ADS CAS PubMed Google Scholar
Genre, A. et al. Short-chain chitin oligomers from arbuscular mycorrhizal fungi trigger nuclear Ca2+ spiking in Medicago truncatula roots and their production is enhanced by strigolactone. N. Phytol. 198, 190–202 (2013).
Article Google Scholar
Maillet, F. et al. Fungal lipochitooligosaccharide symbiotic signals in arbuscular mycorrhiza. Nature 469, 58–63 (2011).
Article ADS CAS PubMed Google Scholar
Zipfel, C. & Oldroyd, G. E. Plant signalling in symbiosis and immunity. Nature 543, 328–336 (2017).
Article ADS CAS PubMed Google Scholar
Buendia, L., Wang, T., Girardin, A. & Lefebvre, B. The LysM receptor-like kinase SlLYK10 regulates the arbuscular mycorrhizal symbiosis in tomato. N. Phytol. 210, 184–195 (2016).
Article CAS Google Scholar
Miyata, K. et al. The bifunctional plant receptor, OsCERK1, regulates both chitin-triggered immunity and arbuscular mycorrhizal symbiosis in rice. Plant Cell Physiol. 55, 1864–1872 (2014).
Article CAS PubMed Google Scholar
Zhang, X. et al. The receptor kinase CERK1 has dual functions in symbiosis and immunity signalling. Plant J. 81, 258–267 (2015).
Article CAS PubMed Google Scholar
Chiu, C. H., Choi, J. & Paszkowski, U. Independent signalling cues underpin arbuscular mycorrhizal symbiosis and large lateral root induction in rice. N. Phytol. 217, 552–557 (2018).
Article CAS Google Scholar
Feng, F. et al. A combination of chitooligosaccharide and lipochitooligosaccharide recognition promotes arbuscular mycorrhizal associations in Medicago truncatula. Nat. Commun. 10, 5047 (2019).
Article ADS PubMed PubMed Central CAS Google Scholar
He, J. et al. A LysM receptor heteromer mediates perception of Arbuscular Mycorrhizal symbiotic signal in rice. Mol. Plant 12, 1561–1576 (2019).
Article CAS PubMed Google Scholar
Girardin, A. et al. LCO receptors involved in Arbuscular Mycorrhiza are functional for Rhizobia perception in legumes. Curr. Biol. 29, 4249–4259 e4245 (2019).
Article CAS PubMed PubMed Central Google Scholar
Parniske, M. Arbuscular mycorrhiza: the mother of plant root endosymbioses. Nat. Rev. Microbiol. 6, 763–775 (2008).
Article CAS PubMed Google Scholar
Muller, L. M. & Harrison, M. J. Phytohormones, miRNAs, and peptide signals integrate plant phosphorus status with arbuscular mycorrhizal symbiosis. Curr. Opin. Plant Biol. 50, 132–139 (2019).
Article CAS PubMed Google Scholar
Gutjahr, C. et al. Arbuscular mycorrhiza-specific signaling in rice transcends the common symbiosis signaling pathway. Plant Cell 20, 2989–3005 (2008).
Article CAS PubMed PubMed Central Google Scholar
Wegel, E., Schauser, L., Sandal, N., Stougaard, J. & Parniske, M. Mycorrhiza mutants of Lotus japonicus define genetically independent steps during symbiotic infection. Mol. Plant Microbe Interact. 11, 933–936 (1998).
Article CAS Google Scholar
Gutjahr, C. et al. Rice perception of symbiotic arbuscular mycorrhizal fungi requires the karrikin receptor complex. Science 350, 1521–1524 (2015).
Article ADS CAS PubMed Google Scholar
Kagiyama, M. et al. Structures of D14 and D14L in the strigolactone and karrikin signalling pathways. Genes Cells. 18, 147–160 (2013).
Article CAS PubMed Google Scholar
Flematti, G. R., Ghisalberti, E. L., Dixon, K. W. & Trengove, R. D. A compound from smoke that promotes seed germination. Science 305, 977 (2004).
Article CAS PubMed Google Scholar
Waters, M. T. et al. Specialisation within the DWARF14 protein family confers distinct responses to karrikins and strigolactones in Arabidopsis. Development 139, 1285–1295 (2012).
Article CAS PubMed Google Scholar
Delaux, P. M. et al. Origin of strigolactones in the green lineage. N. Phytol. 195, 857–871 (2012).
Article CAS Google Scholar
Bythell-Douglas, R. et al. Evolution of strigolactone receptors by gradual neo-functionalization of KAI2 paralogues. BMC Biol. 15, 52 (2017).
Article PubMed PubMed Central CAS Google Scholar
Nelson, D. C. et al. F-box protein MAX2 has dual roles in karrikin and strigolactone signaling in Arabidopsis thaliana. Proc. Natl Acad. Sci. USA 108, 8897–8902 (2011).
Article ADS CAS PubMed PubMed Central Google Scholar
Stanga, J. P., Smith, S. M., Briggs, W. R. & Nelson, D. C. Suppressor Of more axillary Growth2 1 controls seed germination and seedling development in Arabidopsis. Plant Physiol. 163, 318–330 (2013).
Article CAS PubMed PubMed Central Google Scholar
Yoshida, S. et al. The D3 F-box protein is a key component in host strigolactone responses essential for arbuscular mycorrhizal symbiosis. N. Phytol. 196, 1208–1216 (2012).
Article CAS Google Scholar
Stanga, J. P., Morffy, N. & Nelson, D. C. Functional redundancy in the control of seedling growth by the karrikin signaling pathway. Planta 243, 1397–1406 (2016).
Article CAS PubMed PubMed Central Google Scholar
Wallner, E. S. et al. Strigolactone- and Karrikin-independent SMXL proteins are central regulators of phloem formation. Curr. Biol. 27, 1241–1247 (2017).
Article CAS PubMed PubMed Central Google Scholar
Soundappan, I. et al. SMAX1-LIKE/D53 family members enable distinct MAX2-dependent responses to Strigolactones and Karrikins in Arabidopsis. Plant Cell 27, 3143–3159 (2015).
Article CAS PubMed PubMed Central Google Scholar
Wang, L. et al. Strigolactone signaling in Arabidopsis regulates shoot development by targeting D53-Like SMXL repressor proteins for ubiquitination and degradation. Plant Cell 27, 3128–3142 (2015).
Article CAS PubMed PubMed Central Google Scholar
Liang, Y., Ward, S., Li, P., Bennett, T. & Leyser, O. SMAX1-LIKE7 signals from the nucleus to regulate shoot development in Arabidopsis via partially EAR motif-independent mechanisms. Plant Cell 28, 1581–1601 (2016).
CAS PubMed PubMed Central Google Scholar
Jiang, L. et al. DWARF 53 acts as a repressor of strigolactone signalling in rice. Nature 504, 401–405 (2013).
Article ADS CAS PubMed PubMed Central Google Scholar
Zhou, F. et al. D14-SCF(D3)-dependent degradation of D53 regulates strigolactone signalling. Nature 504, 406–410 (2013).
Article ADS CAS PubMed PubMed Central Google Scholar
Walker, C. H., Siu-Ting, K., Taylor, A., O'Connell, M. J. & Bennett, T. Strigolactone synthesis is ancestral in land plants, but canonical strigolactone signalling is a flowering plant innovation. BMC Biol. 17, 70 (2019).
Article PubMed PubMed Central CAS Google Scholar
Moturu, T. R. et al. Molecular evolution and diversification of the SMXL gene family. J. Exp. Bot. 69, 2367–2378 (2018).
Article CAS PubMed Google Scholar
Jeong, D. H. et al. Generation of a flanking sequence-tag database for activation-tagging lines in japonica rice. Plant J. 45, 123–132 (2006).
Article CAS PubMed Google Scholar
Jeon, J. S. et al. T-DNA insertional mutagenesis for functional genomics in rice. Plant J. 22, 561–570 (2000).
Article CAS PubMed Google Scholar
Paszkowski, U., Kroken, S., Roux, C. & Briggs, S. P. Rice phosphate transporters include an evolutionarily divergent gene specifically activated in arbuscular mycorrhizal symbiosis. Proc. Natl Acad. Sci. USA 99, 13324–13329 (2002).
Article ADS CAS PubMed PubMed Central Google Scholar
Kameoka, H. & Kyozuka, J. Downregulation of rice DWARF 14 LIKE suppress mesocotyl elongation via a strigolactone independent pathway in the dark. J. Genet Genomics 42, 119–124 (2015).
Article CAS PubMed Google Scholar
Sun, X. D. & Ni, M. HYPOSENSITIVE TO LIGHT, an alpha/beta fold protein, acts downstream of ELONGATED HYPOCOTYL 5 to regulate seedling de-etiolation. Mol. Plant 4, 116–126 (2011).
Article CAS PubMed Google Scholar
Li, W. et al. The karrikin receptor KAI2 promotes drought resistance in Arabidopsis thaliana. PLoS Genet. 13, e1007076 (2017).
Article PubMed PubMed Central CAS Google Scholar
Kapulnik, Y. & Koltai, H. Strigolactone involvement in root development, response to abiotic stress, and interactions with the biotic soil environment. Plant Physiol. 166, 560–569 (2014).
Article PubMed PubMed Central CAS Google Scholar
Futschik, M. E. & Carlisle, B. Noise-robust soft clustering of gene expression time-course data. J. Bioinform Comput Biol. 3, 965–988 (2005).
Article CAS PubMed Google Scholar
Floss, D. S., Hause, B., Lange, P. R., Kuster, H., Strack, D. & Walter, M. H. Knock-down of the MEP pathway isogene 1-deoxy-D-xylulose 5-phosphate synthase 2 inhibits formation of arbuscular mycorrhiza-induced apocarotenoids, and abolishes normal expression of mycorrhiza-specific plant marker genes. Plant J. 56, 86–100 (2008).
Article CAS PubMed Google Scholar
Zhang, Y. et al. Rice cytochrome P450 MAX1 homologs catalyze distinct steps in strigolactone biosynthesis. Nat. Chem. Biol. 10, 1028–1033 (2014).
Article PubMed CAS Google Scholar
Yoneyama, K. et al. Conversion of carlactone to carlactonoic acid is a conserved function of MAX1 homologs in strigolactone biosynthesis. N. Phytol. 218, 1522–1533 (2018).
Article CAS Google Scholar
Liu, W. et al. Strigolactone biosynthesis in Medicago truncatula and rice requires the symbiotic GRAS-type transcription factors NSP1 and NSP2. Plant Cell 23, 3853–3865 (2011).
Article CAS PubMed PubMed Central Google Scholar
van Zeijl, A. et al. The strigolactone biosynthesis gene DWARF27 is co-opted in rhizobium symbiosis. BMC Plant Biol. 15, 260 (2015).
Article PubMed PubMed Central CAS Google Scholar
Cardoso, C. et al. Natural variation of rice strigolactone biosynthesis is associated with the deletion of two MAX1 orthologs. Proc. Natl Acad. Sci. USA 111, 2379–2384 (2014).
Article ADS CAS PubMed PubMed Central Google Scholar
Gutjahr, C. et al. Transcriptome diversity among rice root types during asymbiosis and interaction with arbuscular mycorrhizal fungi. Proc. Natl Acad. Sci. USA 112, 6754–6759 (2015).
Article ADS CAS PubMed PubMed Central Google Scholar
Bravo, A., York, T., Pumplin, N., Mueller, L. A. & Harrison, M. J. Genes conserved for arbuscular mycorrhizal symbiosis identified through phylogenomics. Nat. Plants 2, 15208 (2016).
Article CAS PubMed Google Scholar
Endre, G., Kereszt, A., Kevei, Z., Mihacea, S., Kaló, P. & Kiss, G. B. A receptor kinase gene regulating symbiotic nodule development. Nature 417, 962 (2002).
Article ADS CAS PubMed Google Scholar
Stracke, S. et al. A plant receptor-like kinase required for both bacterial and fungal symbiosis. Nature 417, 959–962 (2002).
Article ADS CAS PubMed Google Scholar
Levy, J. et al. A putative Ca2+ and calmodulin-dependent protein kinase required for bacterial and fungal symbioses. Science 303, 1361–1364 (2004).
Article ADS CAS PubMed Google Scholar
Mitra, R. M. et al. A Ca2+/calmodulin-dependent protein kinase required for symbiotic nodule development: Gene identification by transcript-based cloning. Proc. Natl Acad. Sci. USA 101, 4701–4705 (2004).
Article ADS CAS PubMed PubMed Central Google Scholar
Yano, K. et al. CYCLOPS, a mediator of symbiotic intracellular accommodation. Proc. Natl Acad. Sci. USA 105, 20540–20545 (2008).
Article ADS CAS PubMed PubMed Central Google Scholar
Buendia, L., Wang, T., Girardin, A. & Lefebvre, B. The LysM receptor-like kinase SlLYK10 regulates the arbuscular mycorrhizal symbiosis in tomato. N. Phytologist 210, 184–195 (2016).
Article CAS Google Scholar
Roth, R. et al. A rice Serine/Threonine receptor-like kinase regulates arbuscular mycorrhizal symbiosis at the peri-arbuscular membrane. Nat. Commun. 9, 4677 (2018).
Article ADS PubMed PubMed Central CAS Google Scholar
Le Gall, H., Philippe, F., Domon, J. M., Gillet, F., Pelloux, J. & Rayon, C. Cell wall metabolism in response to abiotic stress. Plants (Basel) 4, 112–166 (2015).
Article CAS Google Scholar
Santner, A. & Estelle, M. The ubiquitin-proteasome system regulates plant hormone signaling. Plant J. 61, 1029–1040 (2010).
Article CAS PubMed PubMed Central Google Scholar
Morffy, N., Faure, L. & Nelson, D. C. Smoke and hormone mirrors: action and evolution of Karrikin and Strigolactone signaling. Trends Genet. 32, 176–188 (2016).
Article CAS PubMed PubMed Central Google Scholar
Conn, C. E. & Nelson, D. C. Evidence that KARRIKIN-INSENSITIVE2 (KAI2) receptors may perceive an unknown signal that is not Karrikin or Strigolactone. Front. Plant Sci. 6, 1219 (2015).
PubMed Google Scholar
Arite, T. et al. DWARF10, an RMS1/MAX4/DAD1 ortholog, controls lateral bud outgrowth in rice. Plant J. 51, 1019–1029 (2007).
Article CAS PubMed Google Scholar
Pimprikar, P. et al. A CCaMK-CYCLOPS-DELLA complex activates transcription of RAM1 to regulate arbuscule branching. Curr. Biol. 26, 987–998 (2016).
Article CAS PubMed Google Scholar
Xue, L. et al. AP2 transcription factor CBX1 with a specific function in symbiotic exchange of nutrients in mycorrhizal Lotus japonicus. Proc. Natl Acad. Sci. USA 115, E9239–E9246 (2018).
Article CAS PubMed PubMed Central Google Scholar
Jiang, Y. et al. Medicago AP2-domain transcription factor WRI5a is a master regulator of lipid biosynthesis and transfer during Mycorrhizal symbiosis. Mol. Plant 11, 1344–1359 (2018).
Article CAS PubMed Google Scholar
Villaecija-Aguilar, J. A. et al. SMAX1/SMXL2 regulate root and root hair development downstream of KAI2-mediated signalling in Arabidopsis. PLoS Genet. 15, e1008327 (2019).
Article CAS PubMed PubMed Central Google Scholar
Swarbreck, S. M., Guerringue, Y., Matthus, E., Jamieson, F. J. C. & Davies, J. M. Impairment in karrikin but not strigolactone sensing enhances root skewing in Arabidopsis thaliana. Plant J. 98, 607–621 (2019).
Article CAS PubMed PubMed Central Google Scholar
Ishikawa, S., Maekawa, M., Arite, T., Onishi, K., Takamure, I. & Kyozuka, J. Suppression of tiller bud activity in tillering dwarf mutants of rice. Plant Cell Physiol. 46, 79–86 (2005).
Article CAS PubMed Google Scholar
Katoh, K. & Toh, H. PartTree: an algorithm to build an approximate tree from a large number of unaligned sequences. Bioinformatics 23, 372–374 (2007).
Article CAS PubMed Google Scholar
Brown, J. W., Walker, J. F. & Smith, S. A. Phyx: phylogenetic tools for unix. Bioinformatics 33, 1886–1888 (2017).
Article CAS PubMed PubMed Central Google Scholar
Stamatakis, A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30, 1312–1313 (2014).
Article CAS PubMed PubMed Central Google Scholar
Krishnakumar, V. et al. MTGD: The Medicago truncatula Genome Database. Plant Cell Physiol. 56, e1–e1 (2014).
Article PubMed CAS Google Scholar
Mun, T., Bachmann, A., Gupta, V., Stougaard, J. & Andersen, S. U. Lotus Base: an integrated information portal for the model legume Lotus japonicus. Sci. Rep. 6, 39447 (2016).
Article ADS CAS PubMed PubMed Central Google Scholar
Kawahara, Y. et al. Improvement of the Oryza sativa Nipponbare reference genome using next generation sequence and optical map data. Rice 6, 4 (2013).
Article PubMed PubMed Central Google Scholar
Goodstein, D. M. et al. Phytozome: a comparative platform for green plant genomics. Nucleic Acids Res. 40, D1178–D1186 (2012).
Article CAS PubMed Google Scholar
Paszkowski, U., Jakovleva, L. & Boller, T. Maize mutants affected at distinct stages of the arbuscular mycorrhizal symbiosis. Plant J. 47, 165–173 (2006).
Article CAS PubMed Google Scholar
Chiu, C. H., Choi, J. & Paszkowski, U. Independent signalling cues underpin arbuscular mycorrhizal symbiosis and large lateral root induction in rice. N. Phytol. 217, 552–557 (2017).
Article CAS Google Scholar
Guimil, S. et al. Comparative transcriptomics of rice reveals an ancient pattern of response to microbial colonization. Proc. Natl Acad. Sci. USA 102, 8066–8070 (2005).
Article ADS PubMed CAS PubMed Central Google Scholar
Engler, C., Gruetzner, R., Kandzia, R. & Marillonnet, S. Golden gate shuffling: a one-pot DNA shuffling method based on type IIs restriction enzymes. PLoS ONE 4, e5553 (2009).
Article ADS PubMed PubMed Central CAS Google Scholar
Weber, E., Engler, C., Gruetzner, R., Werner, S. & Marillonnet, S. A modular cloning system for standardized assembly of multigene constructs. PLoS ONE 6, e16765 (2011).
Article ADS CAS PubMed PubMed Central Google Scholar
Lei, Y., Lu, L., Liu, H. Y., Li, S., Xing, F. & Chen, L. L. CRISPR-P: a web tool for synthetic single-guide RNA design of CRISPR-system in plants. Mol. Plant 7, 1494–1496 (2014).
Article CAS PubMed Google Scholar
Miao, J. et al. Targeted mutagenesis in rice using CRISPR-Cas system. Cell Res. 23, 1233–1236 (2013).
Article CAS PubMed PubMed Central Google Scholar
Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014).
Article CAS PubMed PubMed Central Google Scholar
Kim, D. et al. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol. 14, R36 (2013).
Article PubMed PubMed Central CAS Google Scholar
Trapnell, C. et al. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol. 28, 511–515 (2010).
Article CAS PubMed PubMed Central Google Scholar
Robinson, J. T. et al. Integrative genomics viewer. Nat. Biotechnol. 29, 24–26 (2011).
Article CAS PubMed PubMed Central Google Scholar
Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010).
Article CAS PubMed Google Scholar
Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).
Article PubMed PubMed Central CAS Google Scholar
Ashburner, M. et al. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat. Genet. 25, 25–29 (2000).
Article CAS PubMed PubMed Central Google Scholar
Brown, G. R. et al. Gene: a gene-centered information resource at NCBI. Nucleic Acids Res. 43, D36–42 (2015).
Article CAS PubMed Google Scholar
Zerbino, D. R. et al. Ensembl 2018. Nucleic Acids Res. 46, D754–D761 (2018).
Article CAS PubMed Google Scholar

Download references

Acknowledgements

We thank Lesley Plücker, Floriana Misceo for assistance in characterising the D14L CRISPR lines, Junko Kyozuka for providing d3-1, d14-1 and d27-1 seeds, Pawel Baster for conducting the RNA-seq experiment, and Anne Bate for technical support. J.C. was supported by EMBO Long-term research fellowship (ALTF 117-2014, co-funded by the the European Commission EMBOCOFUND2012, GA-2012-600394 from Marie Curie Actions), the Leverhulme Early Career Fellowship (EFC 2016-392) and the Isaac Newton Trust, Cambridge, UK. J.C. T.L. G.O. and U.P were also supported by the Biotechnology and Biological Sciences Research Council as BB/P003419/1 and by the Bill & Melinda Gates Foundation as OPP1028264. Additionally, H.J.B. was supported by the European Research Council (ERC Advanced grant CHEMCOMRHIZO, 670211). S.B. and E.J.W. were supported by the Biotechnology and Biological Sciences Research Council BB/P003176/1.

Author information

Jungnam Cho
Present address: CAS-JIC Centre of Excellence for Plant and Microbial Science, 200032, Shanghai, China
Boas Pucker
Present address: Center for Biotechnology, Bielefeld University, Sequenz 1, 33615, Bielefeld, Germany

Authors and Affiliations

Department of Plant Sciences, University of Cambridge, Cambridge, CB2 3EA, UK
Jeongmin Choi, Emily K. Servante, Boas Pucker, William Summers, Giles Oldroyd & Uta. Paszkowski
Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge, CB2 1LR, UK
Tak Lee, Jungnam Cho & Giles Oldroyd
The John Bingham Laboratory, NIAB, Huntingdon Road, Cambridge, CB3 0LE, UK
Sarah Bowden & Emma J. Wallington
Swammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH, Amsterdam, The Netherlands
Mehran Rahimi & Harro J. Bouwmeester
Crop Biotech Institute, Kyung Hee University, Yongjin-si, 446-701, South Korea
Kyungsook An & Gynheung An

Authors

Jeongmin Choi
View author publications
You can also search for this author in PubMed Google Scholar
Tak Lee
View author publications
You can also search for this author in PubMed Google Scholar
Jungnam Cho
View author publications
You can also search for this author in PubMed Google Scholar
Emily K. Servante
View author publications
You can also search for this author in PubMed Google Scholar
Boas Pucker
View author publications
You can also search for this author in PubMed Google Scholar
William Summers
View author publications
You can also search for this author in PubMed Google Scholar
Sarah Bowden
View author publications
You can also search for this author in PubMed Google Scholar
Mehran Rahimi
View author publications
You can also search for this author in PubMed Google Scholar
Kyungsook An
View author publications
You can also search for this author in PubMed Google Scholar
Gynheung An
View author publications
You can also search for this author in PubMed Google Scholar
Harro J. Bouwmeester
View author publications
You can also search for this author in PubMed Google Scholar
Emma J. Wallington
View author publications
You can also search for this author in PubMed Google Scholar
Giles Oldroyd
View author publications
You can also search for this author in PubMed Google Scholar
Uta. Paszkowski
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

Conceptualisation, J.C., U.P.; Investigation, J.C., T.L., E.K.S., W.S., M.R.; Methodology, J.C., T.L., J.Cho., S.B., B.P., M.R., K.A., G.A., H.B., E.W., G.O.; Writing, J.C. U.P. Funding Acquisition, J.C., U.P., H.J.B., E.J.W. All authors have contributed to and approved the final manuscript.

Corresponding authors

Correspondence to Jeongmin Choi or Uta. Paszkowski.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. Peer review reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Peer Review File

Description of Additional Supplementary Files

Supplementary Dataset 1

Supplementary Dataset 2

Supplementary Dataset 3

Supplementary Dataset 4

Supplementary Dataset 5

Supplementary Dataset 6

Supplementary Dataset 7

Supplementary Dataset 8

Supplementary Dataset 9

Supplementary Dataset 10

Supplementary Dataset 11

Source Data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Choi, J., Lee, T., Cho, J. et al. The negative regulator SMAX1 controls mycorrhizal symbiosis and strigolactone biosynthesis in rice. Nat Commun 11, 2114 (2020). https://doi.org/10.1038/s41467-020-16021-1

Download citation

Received: 23 December 2019
Accepted: 08 April 2020
Published: 30 April 2020
DOI: https://doi.org/10.1038/s41467-020-16021-1

This article is cited by

Interplay between developmental cues and rhizosphere signals from mycorrhizal fungi shape root anatomy, impacting crop productivity
- Alexandre Grondin
- Meng Li
- Hannah M. Schneider
Plant and Soil (2024)
Lost genome segments associate with trait diversity during rice domestication
- Xiaoming Zheng
- Limei Zhong
- Qingwen Yang
BMC Biology (2023)
Genetic Mapping of the Root Mycobiota in Rice and its Role in Drought Tolerance
- Beatriz Andreo-Jimenez
- Dennis E. te Beest
- Harro J. Bouwmeester
Rice (2023)
The miR528-D3 Module Regulates Plant Height in Rice by Modulating the Gibberellin and Abscisic Acid Metabolisms
- Juan Zhao
- Xing Liu
- Qingpo Liu
Rice (2022)
Nutrient regulation of lipochitooligosaccharide recognition in plants via NSP1 and NSP2
- Xin-Ran Li
- Jongho Sun
- Giles E. D. Oldroyd
Nature Communications (2022)

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.