Abstract
In mature symbiotic root nodules, differentiated rhizobia fix atmospheric dinitrogen and provide ammonium to fulfill the plant nitrogen (N) demand. The plant enables this process by providing photosynthates to the nodules. The symbiosis is adjusted to the whole plant N demand thanks to systemic N signaling controlling nodule development. Symbiotic plants under N deficit stimulate nodule expansion and activate nodule senescence under N satiety. Besides, nodules are highly sensitive to drought. Here, we used split-root systems to characterize the systemic responses of symbiotic plants to a localized osmotic stress. We showed that polyéthylène glycol (PEG) application rapidly inhibited the symbiotic dinitrogen fixation activity of nodules locally exposed to the treatment, resulting to the N limitation of the plant supplied exclusively by symbiotic dinitrogen fixation. The localized PEG treatment triggered systemic signaling stimulating nodule development in the distant untreated roots. This response was associated with an enhancement of the sucrose allocation. Our analyses showed that transcriptomic reprogramming associated with PEG and N deficit systemic signaling(s) shared many targets transcripts. Altogether, our study suggests that systemic N signaling is a component of the adaptation of the symbiotic plant to the local variations of its edaphic environment.
Introduction
Legumes have the unique ability to associate with rhizobia in symbiotic root organs called nodules. Within nodules, differentiated bacteroids use the dinitrogen (N2) from the air as an unlimited nitrogen (N) source (; ). The bacterial nitrogenase converts atmospheric N2 into ammonium, which will be assimilated into amino acids by the plant cells. In return, the plant fuels the symbiotic N2 fixation (SNF) by providing products of shoot photosynthesis to the bacteria. Therefore, the carbon metabolite flux from the shoots to the bacteroids and the nitrogenase activity in the root nodules are necessarily tightly correlated ().
Although symbiosis may allow the plant to circumvent the soil mineral N limitation, N fixation is highly dependent on soil conditions, particularly on abiotic stresses such as drought. In soybean nodules, the nitrogenase activity declines very sharply when the nodule water potential decreases (; ). This decline in response to drought occurs before any effect on photosynthesis is detected (). Local drought applied in Medicago truncatula plants grown in split-root systems showed that the inhibition of the nitrogenase activity by drought is local, i.e., only in nodules directly exposed to drought (; ). This inhibition is associated with a decline of the nodule water potential but occurs before any decrease of leaf water potential and of plant evapotranspiration. Such local drought applied on a half root system has little effect on the whole plant water status because of the compensation by the distant watered roots, enabling the water supply of the whole plant. Earlier studies have proposed several hypotheses to explain the local inhibition of water limitation on SNF, but they remain to be validated (; ; ; ; ).
Symbiotic nodule development and functioning are dependent on the whole plant N status and, therefore, highly dependent on its N acquisition capacities (). N-related systemic signaling regulations between shoots and roots were investigated using split-root systems in symbiotic M. truncatula plants (; ; ; ; ). These systemic regulations are instrumental for optimizing the root N “foraging” behavior, which orchestrates underground organ growth in soil conditions that are heterogeneous in time and space, including for the nutritional resources. Following the early interaction of Rhizobium with legume host roots, nodule formation requires plant N deficit and is inhibited by plant N satiety (). Whole plant N satiety systemic signaling rapidly represses the N2 fixation activity of mature nodules and initiates their senescence (). In split-root systems, a whole plant N deficit under symbiotic conditions can be obtained on a half root system either by a local treatment substituting air by Ar/O2 (80/20 v/v) or by inoculating the root with non-N2-fixing (fix-) mutant bacteria (). Both treatments provoke a whole plant N deficit and trigger a systemic response in the distant untreated half root system, stimulating the expansion of preexisting nodules and the formation of additional symbiotic organs (; ). This N-deficit systemic signaling enables the plant to compensate for a lower N2 fixation in the inefficient part of its symbiotic root system by stimulating nodule development and, consequently, SNF in the compensatory roots. In symbiotic plants that are N supplied exclusively through SNF, rapid nodule sucrose content variations were associated with systemic N signaling, suggesting that a sugar allocation toward nodules may be involved in the signaling process (; ). Transcriptome reprogramming in response to systemic N signaling has been characterized in roots of M. truncatula during the early stages of the interaction with Sinorhizobium medicae and in mature differentiated N2-fixing nodules of plants grown in split-root systems (; ). Many of the genes involved in nodule formation are strongly regulated by systemic N signaling, consistently with the plant N deficit being mandatory for symbiosis establishment (). Molecular mechanisms involved in the systemic control of nodule formation have been discovered, involving shoot receptors belonging to the CLAVATA1 family to perceive signaling peptides of the CLE and CEP families (; ). How these components contribute to the regulation of nodulation by N signaling remains however a challenging question (; ). Less is known about mechanisms responsible for the regulation of mature nodules by systemic N signaling. The transcriptomic responses of mature nodules to N-satiety and N-deficit systemic signaling were recently characterized using M. truncatula plants grown in split-root systems (). The N-satiety systemic signaling response includes the rapid activation of a nodule senescence program and the repression of many transcripts associated with nodule development and functioning. The N-deficit signaling response involves a large transcript reprogramming mainly related to cell division, bacteroid differentiation through the function of NCR and GRP peptides, as well as sugar transport, leghemoglobin accumulation, and specific hormonal responses (). Although transcript reprogramming has been characterized, pathways responsible for systemic N signaling in mature nodules remains not yet unraveled.
In this study, we aimed to characterize the systemic response of symbiotic plants to a local osmotic constraint. M. truncatula/S. medicae symbiotic plants with mature nodules were grown hydroponically in split-root systems. We included Polyéthylène glycol (PEG) in the medium to apply the osmotic constraint (; ). PEG was added to half of the roots, and the systemic effects of this treatment were investigated on the remaining distant untreated roots. The SNF, nodule sucrose content, plant growth, and transcriptome reprogramming of mature nodules in response to systemic PEG signaling were compared to the previously characterized response to systemic N signaling (). These combined approaches allowed highlighting the implication of systemic N responses in the symbiotic plant adaptation to a localized environmental fluctuation.
Materials and methods
Split-root plant growth conditions
The M. truncatula genotype A17 was grown hydroponically in split-root systems as described by . Three-week-old plants were inoculated with S. medicae md4 bacteria (107 CFU/mL). An HY nutrient solution (), not supplemented with mineral N and adjusted to pH7, was used and renewed every week. The root systems of 5-week-old plants were separated into two parts, each side being installed in a compartment of the split-root experimental system (Figure 1A). PEG treatment conditions (150 g/L PEG8000) were deduced from previous M. truncatula A17 studies () and locally applied on one side of the root system, while initial growth medium conditions were maintained on the other half root system. Nutrient solutions of each compartment were renewed daily. Roots were harvested from 45-day-old plants (Figure 1B). 15N2 fixation and N intake measurements were done on excised roots according to . The method uses short-term labeling to circumvent the potential bias associated with carbon metabolite starvation of excised roots. Freshly excised nodulated roots were placed in airtight 10-mL tubes containing 2 mL of basal nutrient solution. Ten minutes of labeling was achieved by replacing in each tube 5 mL of air with 5 mL of 80% 15N2/20% O2 mix (99 atom% 15N). Samples (100 µL) of 15N2-enriched air were harvested at the beginning and end of the labeling for precise analysis of the atom% 15N of the 15N2 source and leak check. After labeling, nodules were separated from roots, and both organs were collected, dried at 70°C for 48 h, weighed, and analyzed for total 15N content using a continuous-flow isotope ratio mass spectrometer (Isoprime mass spectrometer; GV Instruments) coupled to a nitrogen elemental analyzer (EuroVector S.p.A.). reported that measurements of 15N2 fixation on excised nodulated roots in this condition were equivalent to those obtained on intact plant roots. Analyses of nodule metabolite contents by GC/MS were achieved, as described in .
Figure 1
RNA sequencing sample collection and preparation
Each sample was a pool of nodules collected from five plants. Three replicate samples were generated for each biological condition. After nodule grinding in liquid nitrogen, RNAs were extracted using the miRNeasy® Mini Kit (Qiagen, Hilden, Germany) according to the supplier’s recommendations. An RNA quality control was performed on a Bioanalyzer (BioRad Laboratories Inc., Hercules, CA, USA). Polyadenylated plant mRNA libraries were prepared using the TruSeq Stranded mRNA Sample Preparation Kit (Illumina, San Diego, CA, USA). Library quality was checked using the Standard Sensitivity NGS Kit on an Advanced Analytical Fragment Analyzer (Agilent Technologies, Inc., Santa Clara, CA, USA). Clustering and primer hybridizations were performed both on the Illumina HiSeq 2500, using the TruSeq Rapid Cluster Kit, or on the Illumina cBot (Illumina, San Diego, CA, USA). Sample sequencing was achieved in the single-read 50-nucleotide mode using the Sequence By Sequencing (SBS) technology on the Illumina HiSeq 2500 with the TruSeq Rapid SBS Kit according to supplier instructions, consumables, and software. Sequencing quality controls were performed using the FastQC and FastQ Screen open-access software (Babraham Institute, Cambridge, UK) to test for contaminations by unexpected organisms. RNA sequencing (RNAseq) data are available on ArrayExpress under the ID number E-MTAB-10497 (https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-10497/).
RNAseq data analysis
Sequencing reads were mapped to the MtruncA17r5.0 latest version of the M. truncatula genome () using the glint software (http://lipm-bioinfo.toulouse.inra.fr/download/glint/). An alignment of a minimum length of 40 nucleotides with less than three mismatches and three gaps was allowed. Reads mapping to different genomic positions were omitted. The statistical analysis was performed in the R version 3.5.1 using the DiCoExpress tool (; ) that uses EdgeR (v.3.22.3) and tCoseq (v.1.4.0) Bioconductor packages. The counts per million method was used with a threshold of one read per million in half of the samples. Libraries were normalized using the Trimmed Mean of M-values method (). Differential analysis was performed using a negative binomial generalized linear model where the log of the average gene expression was considered as a replicate effect plus a treatment effect (Control and 6 h, 1 day, 3 days, and 5 days of PEG treatment). A likelihood ratio test was performed to evaluate the expression changes between two consecutive durations of the PEG treatment (no treatment being the zero duration), and P-values were adjusted with the Benjamini–Hochberg procedure to control the false discovery rate (FDR). An adjusted P-value lower than 0.05 was considered to define differentially accumulated transcripts (DATs). For the co-expression analysis (Coseq package), the component number in the mixture was chosen according to the integrated completed likelihood (ICL) criterion. We implemented the MtruncA17V4.2 annotations, the manual annotations generated in , the plant metabolic network (PMN)-MedicCyc annotations (), the symbiotic island annotations (), and the Mapman MtruncA17V4.0 annotations () into the MtA17 r5.0 gene annotation, but only when an unequivocal correspondence confirmed by blast was evidenced. The enrichment analysis for a given annotation term was performed using a hypergeometric test. To control the FDR among all tested terms, raw P-values were adjusted by the Benjamini–Hochberg procedure, and enriched terms were defined as those having an adjusted P-value lower than 0.05. Using this procedure, we tested if specific biological functions were enriched in annotations of DATs compared to their abundance in the nodule transcriptome. The global Gene Ontology (GO) analysis of DATs, using the whole M. truncatula genome as the reference, was performed with the BiNGO-Cytoscape plugin (), which also uses a hypergeometric test and the Benjamini–Hochberg procedure to adjust P-values.
Results
PEG suppresses N fixation locally and is associated with systemic signaling at the whole plant level
Localized osmotic stress (PEG treatment) was applied to M. truncatula plants with N2-fixing nodules formed upon inoculation with the S. medicae md4 strain. Symbiotic plants were grown hydroponically in an aerated nutrient solution without mineral N and thus N supplied exclusively through SNF. Symbiotic root systems were separated into two compartments containing half root systems, only one of them being treated with PEG (Figure 1A). The local and systemic effects of the localized PEG treatment on N intake were analyzed in both sides of the root system after a 48-h treatment. A drastic reduction of the specific SNF activity (N2 fixation per nodule biomass) was measured in the half root system directly exposed to the treatment, whereas the SNF activity was not affected in the distant half root system not directly exposed to PEG (Figure 2). The 48-h local PEG treatment did not result in a significant change in plant organ fresh biomasses. The biomass of shoots, denodulated half root systems, and their corresponding nodules was respectively shootFW = 5.45 ± 0.92 g, rootsFW = 2.35 ± 0.65 g, and nodulesFW = 0.42 ± 0.10 g. Based on the N fixation measurements, we calculated the N intake driven by each half root system and by whole plants (treated and control). In control plants, the calculated whole plant N intake was 360.92 µmoleN.h-1, whereas in treated plants, it was 245 µmoleN.h-1, displaying an almost 50% reduction. Because in symbiotic M. truncatula plants exclusively relying on N2 fixation, the N acquisition was generally limiting plant growth (; ; ), we concluded that PEG-treated plants experienced an N deficit as compared to control plants. Plant growth was monitored for 7 and 15 days (Figure 3). The PEG treatment resulted in a growth reduction of the whole plant after 15 days likely related to the plant N deficit associated with the treatment (Figure 3A). We analyzed the relative growth of the plant organs by normalizing their biomass relative to the whole plant biomass. In the half root system locally exposed to PEG, the nodule and root relative growth was reduced as compared to the untreated side (Figures 3B, C). Conversely, in the distal half root systems of the same plants that were not directly exposed to the PEG treatment, a stimulation of nodule and root relative growth was observed (Figures 3B, C). After 15 days of treatment, the root and nodule relative biomasses of the untreated distant half roots of PEG-treated plants were significantly higher than those in the half root systems of control plants. These differential growth stimulations resulted in the ability of the whole plant to compensate for the negative impact of local stress. Accordingly, the PEG-treated plant allocated less biomass to the PEG-treated roots to the benefit of the untreated roots. Because the untreated roots of the PEG-treated and of the control plants shared the same local environment, their compensatory responses were unambiguously explained by the occurrence at the whole plant level of a systemic signaling. Interestingly, similar conclusions could be reached with split-root plants grown on sand and exposed to local drought (Supplementary Figure S1) or with split-root plants grown hydroponically and exposed locally to 75-mM NaCl stress (Supplementary Figure S2). In both systems, systemic signaling compensatory responses to the local constraints were observed, leading to the stimulation of both nodule and root growth in systemic roots not directly exposed to the local treatments. We thus concluded that the observed root and nodule growth compensatory systemic responses were not specific to the PEG treatment and could be generalized to other local water constraints resulting from drought, PEG, or NaCl treatments.
Figure 2
Figure 3
The reduced SNF activity provoked by the local PEG treatment resulted in a transient reduction of whole plant N acquisition and associated with a systemic response stimulating nodule development. We thus hypothesized that the systemic compensatory response to a localized PEG osmotic stress treatment was, at least in part, the result of the activation of a plant N-deficit systemic signaling. In previous studies, rapid changes in carbon metabolite allocation from the shoots to the nodules were associated with systemic N signaling (; ). We then tested sucrose allocation in response to local PEG treatment, revealing that the associated systemic signaling also increased sucrose content in nodules after 3 days of local PEG treatment (Figure 4).
Figure 4
Systemic PEG and N signaling share numerous nodule transcriptomic targets
The plant transcriptomic responses of mature N2-fixing nodules of M. truncatula plants, inoculated with S. medicae md4, to systemic PEG signaling were investigated using the split-root systems described in Figure 1A. Nodules of the distant untreated roots of the PEG-treated plants were collected after 6 h, 1 day, 3 days, or 5 days of treatment (Figure 1B). Nodules of untreated plants grown in parallel split roots were used as controls. RNAseq analysis was performed on total RNAs, and quality control analyses are provided in Supplementary Figure S3. Differential analyses allowed identifying a large transcriptome reprogramming occurring in nodules in response to PEG systemic signaling (Supplementary Figure S4). A total of 10,904 DATs were identified in at least one of the pairwise comparisons between control, 6 h, 1 day, 3 days, and 5 days (PEG_DATs; Supplementary Table S1). Analysis of GO terms corresponding to all of these transcripts using the BiNGO package revealed that GO terms related to “response to stress” and to “nodule morphogenesis,” “nodulation,” and “symbiosis” were overrepresented in systemic PEG_DATs as compared to the whole genome (Supplementary Figure S5), in agreement with the physiological impact of systemic PEG signaling on nodule development.
To test the hypothesis of recruitment of systemic N signaling during the PEG-induced systemic transcriptomic reprogramming, we investigated if the transcripts responsive to systemic N signaling in mature nodules that were identified in a previous study using the same biological system () were particularly abundant in PEG_DATs. Most (4,277 DATs; 57%) of the transcripts responsive to systemic N signaling were retrieved in the PEG_DATs and, therefore, called N&PEG DATs (Supplementary Table S2). Hypergeometric tests, using the whole nodule transcriptome as a reference, confirmed this strong relative enrichment of N&PEG_DATs within the PEG_DATs (Table 1). Having identified this striking overlap, further analyses were then focused specifically on N&PEG_DATs. A co-expression analysis based on mixture models (Coseq package) organized these N&PEG_DATs according to their accumulation kinetics in 10 co-expression clusters (Figure 5, Supplementary Table S2). The model fitted the data well, as only less than 10% of the transcripts were not classified (cluster 0; Supplementary Table S2). We compared these systemic PEG signaling nodule co-expression clusters to the systemic N signaling nodule response clusters identified by . The relative distribution of transcripts in the two cluster datasets was not random, arguing that both responses to systemic PEG signaling and to systemic N signaling were not independent (Supplementary Table S3). The metacluster A, defined by , contained transcripts mainly retrieved in N&PEG_DAT clusters 2, 5, 9, and 10, whereas the metacluster B contained transcripts mainly retrieved in N&PEG_DAT clusters 1, 3, 4, 6, and 8.
Table 1
| Term | Transcript numbers | Proportion in PEG_DATs % | Enrichment FDR |
|---|---|---|---|
| SN2 in PEG | 3,838 | 56 | 7.63.10-90 |
| DN2 in PEG | 1,465 | 66 | 8.22.10-86 |
| (DN2 or/and SN2) in PEG | 4,277 | 57 | 1.04.10-110 |
Overlaps between nodule transcriptome responses to systemic N signaling and PEG signaling.
The total number of significantly expressed nodule transcript detected in this study was 23,610. Among them, differentially accumulated transcripts in response to PEG were 10,904 (PEG_DATs). The DN2 and SN2 mature nodule transcripts, responding respectively to systemic signaling of N Deficit and N Satiety, identified by were assigned to the MtruncA17r5.0 annotation by blast (1,465 and 3,838 transcripts, respectively). Specific enrichments of these DN2 and/or SN2 transcripts in the PEG_DATs list were evaluated using hypergeometric tests relative to all accumulated transcripts of the organ as a reference. Enrichment was declared when the false discovery rate (FDR) associated with the hypergeometric test was lower than 0.05.
Figure 5
The analysis of N&PEG_DAT functional annotations (Figure 6) revealed in several co-expression clusters specific enrichments for transcripts belonging to the M. truncatula “symbiotic islands” identified by , namely, NRUs (Nodule vs. Root Upregulated) and NDDs (Nodule Development and Differentiation), confirming the particular impact of both PEG and N systemic signalings on the symbiosis. More specifically, transcripts encoding NCR peptides (Supplementary Figure S6), GRP peptides (Supplementary Figure S7), core histones (Supplementary Figure S8), leghemoglobins (Supplementary Figure S9), SWEET sucrose transporters (Supplementary Figure S10), and nodule-associated transcripts (annotated as “nodulins”) were overrepresented in N&PEG_DATs. This further documented at the transcriptome level the common features of systemic PEG and N signaling responses previously highlighted at the physiological level. Among N&PEG_DATs were notably retrieved transcripts related to the symbiotic recognition of rhizobia, to the Nod factor signaling pathway, and to symbiotic infection (MtNPL, MtRPG, MtLYK10, MtDMI3, MtNSP2, MtEFD, and MtEFD2; Supplementary Table S2), indicating that bacterial infections are likely affected by both systemic PEG and N signaling.
Figure 6
Discussion
This work illustrated the tight integration of the Rhizobium–legume symbiotic interaction with the whole plant nutritional regime and gave new insight into its biological significance. Integration involves systemic signaling to adjust the root symbiotic capacity to the nutritional demand of the plant as a function of the whole plant growth (
In this study, local inhibition of symbiosis by PEG, NaCl, or drought resulted in an inhibition of SNF and in plant N limitation. Using 15N2 labeling on intact split-root plant as described by
As SNF results in N acquisition by the plant, the N demand has a central role in the systemic control of symbiotic plants relying exclusively upon SNF. The whole plant N demand tightly controls symbiotic organ formation and development (reviewed in
In the context of climate change, water limitation periods will be more frequent and soil moisture will be more heterogeneous and fluctuating than ever (
Statements
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/Supplementary Material.
Author contributions
M-LM: Data curation, Funding acquisition, Investigation, Methodology, Software, Supervision, Validation, Writing – review & editing, Writing – original draft. MP: Data curation, Investigation, Methodology, Validation, Writing – review & editing. IL: Data curation, Investigation, Methodology, Software, Writing – review & editing. SC: Investigation, Methodology, Software, Writing – review & editing. MT: Investigation. DS: Investigation, Methodology, Writing – review & editing. GC: Investigation, Methodology. PT: Investigation, Methodology. FF: Funding acquisition, Project administration, Supervision, Writing – review & editing. ML: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the ANR grant Psyche (ANR-16-CE20-0009-02). The IPS2 Laboratory benefits from the support of the “Ecole Universitaire de Recherche” (EUR) Saclay Plant Sciences (SPS; ANR-17-EUR-0007).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpls.2023.1288070/full#supplementary-material
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Summary
Keywords
symbiosis, nitrogen, osmotic stress, systemic signaling, Medicago truncatula, Rhizobium
Citation
Martin M-L, Pervent M, Lambert I, Colella S, Tancelin M, Severac D, Clément G, Tillard P, Frugier F and Lepetit M (2023) Localized osmotic stress activates systemic responses to N limitation in Medicago truncatula–Sinorhizobium symbiotic plants. Front. Plant Sci. 14:1288070. doi: 10.3389/fpls.2023.1288070
Received
03 September 2023
Accepted
24 October 2023
Published
20 November 2023
Volume
14 - 2023
Edited by
Cesar Arrese-Igor, Public University of Navarre, Spain
Reviewed by
Anis M. Limami, Université d’Angers, France; Euan James, The James Hutton Institute, United Kingdom
Updates

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Copyright
© 2023 Martin, Pervent, Lambert, Colella, Tancelin, Severac, Clément, Tillard, Frugier and Lepetit.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Marc Lepetit, marc.lepetit@inrae.fr
†ORCID: Marie-Laure Martin, orcid.org/0000-0003-4000-9600
Disclaimer
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