1. Introduction
Nitrogen is one of the main nutrient elements necessary for plant growth and development [
1]. However, nitrogen in nature can only be absorbed by plant after it is reduced to be nitrate nitrogen or ammonia nitrogen [
1]. Biological fixing nitrogen dominates in nitrogen reduction, and symbiotic fixing nitrogen is the most efficient biological fixing nitrogen method [
2]. Rhizospheric nitrogen is formed by rhizobia and legumes [
2]. Successful interactions between rhizobia and legume roots result in formation of a new organ, the root nodule, where rhizobia convert atmospheric nitrogen into organic nitrogen compounds to obtain the required carbon sources [
2].
Legumes produce two major types of nodules, indeterminate and determinate nodules, which greatly differ in structure and metabolism [
3]. The widely cultivated legumes with indeterminate nodules mainly include
Pisum sativum,
Medicago truncatula,
Trifolium repens, and
Vicia faba, whereas those with determinate nodules mainly include soybean,
Lotus japonicus,
Phaseolus vulgaris, and
Vigan unguiculata [
4]. The shape of indeterminate nodules is normal cylindrical or bifurcated, and the root nodule cells can be roughly divided into four zones according to the infection state of rhizobia: Zone I is the meristem at the top of the root nodule; Zone II is the infection zone that releases rhizobia from the infection thread to infect plant cells; Zone II-III is the transition zone; Zone III is nitrogen fixation area; Zone IV is the senescent zone, where bacteroids are aging [
5]. In the mature nodules, the central tissue containing nitrogen cells is uniform, including the cells infected by bacteroids and the uninfected cells [
6,
7]. After decay, nodules die radially from the center to the periphery, and bacteroids are released from the dead cells and become free bacteroids [
5]. In addition to different nodule morphologies, the biggest difference between indeterminate and determinate nodules lies in that most of the rhizobia in indeterminate nodules undergo terminal differentiation including cell expansion, genome doubling, membrane modification, and loss of reproductive ability [
8].
There is an exchange of chemical signals between plants and rhizobia throughout the different stages of nodule formation and development, which encompasses Nod factor signaling (NF signaling) as well as other plant signaling systems involving calcium, NADPH oxidase, and NO synthase systems. These systems, inducing alterations in gene expression within both partners, play a role in shaping partner selection and dampening plant defense [
8,
9]. These signals facilitate the entry of bacteria into plant epidermal and cortical cells, stimulate root cell division and the development of nodule meristem, leading to the formation of numerous specialized cellular organelles referred to as "symbiosomes", each housing one or more nitrogen-fixing bacteroids [
9].
Microbe-associated molecular patterns (MAMPs) derived from pathogens can be recognized by pattern recognition receptors (PRRs) on plant cell membrane to trigger a variety of early defense reactions, including the production of a large number of reactive oxygen species (ROS) [
10]. At present, the studies of PRRs mainly involve bacterial flagellin receptor FLAGELLIN SENSING 2 (FLS2) and chitin elicitor kinase (CERK1) [
11,
12]. In order to overcome the PAMP-triggered immune response (PTI), pathogens secrete effector proteins into plant cells through type III secretion system to inhibit plant immunity. Therefore, plants have evolved a variety of disease resistance (R) proteins to recognize effectors and produce effector-triggered immunity (ETI) [
13]. Most of these R proteins belong to nucleoside binding site-leucine rich repeat (NBS-LRR). The activation of a large number of defense genes in ETI is often accompanied by hypersensitivity or hypersensitivity-like cell death and finally induces resistance to pathogen [
14]. In fact, similar to pathogens invading host plants, rhizobia can induce innate immunity in plants when they contact roots of legume plants. However, this host defense response is transient, and it is inhibited during rhizobium invasion [
15]. Symbiosis-induced immunosuppression is regulated by rhizobia or host plants in a variety of manners. Many evidences have indicated that rhizobia have evolved multiple strategies including ROS scavenging enzyme, nodulation factor (NF), lipopolysaccharide (LPS), extracellular polysaccharide (EPS), and type III/IV secretion system to escape or inhibit the immunity produced by the early symbiotic host [
16,
17,
18]. In terms of host plants, multiple plant genes such as
DNF2 [
19],
SymCRK [
20],
RSD [
21], and
NAD1 [
22] have been found to be involved in immunosuppression in the late stage of symbiosis (the stage after the release of rhizobia into root nodule cells). Root nodules formed on mutant plants of these genes show defense-like responses [
23]. Plant innate immunity plays an important role in regulating symbiotic processes of plants and rhizobia, including rhizobium infection, rhizobium colonization, and bacteroid differentiation in leguminous plants [
24]. How to maintain rhizobial survival in plant cells without triggering defense responses remains largely unknown.
The transcriptional reprogramming in plant-microbe interaction leads to a particular cell fate for both bacteria and host plant [
25,
26]. By genome-wide transcription profiling, symbiosis-related plant and bacterial genes can be simultaneously identified before the bacteria are physically separated from host cells. In the previous research, the expression levels of bacterial genes and host plant genes were analyzed using transcription profiling, respectively [
27,
28]. So far, there have been no reports on the simultaneous analyses of gene expressions of both bacteria and hosts.
Therefore, this study adopted dual RNA-seq transcriptomics to analyze simultaneously gene expression changes in both symbiont and the host plant. We analyzed the interactions between rhizobia and host plant using immune defense-overactivated nad1 mutant material at two developmental stages. We identified differentially expressed genes (DEGs) related to symbiosis regulation processes including NF signaling, nodule meristem and differentiation from both M. truncatula and S. meliloti. This study made the first attempt to reveal dynamic balance between symbiosis and defense during bacterial endosymbiosis.
3. Discussion
In this study, we found that in addition to previously reported role in maintaining rhizobial endosymbiosis during nodulation [
22],
NAD1 also functioned in the early-stage nodule development and symbiotic nitrogen fixation. Our phenotype observation showed at 6 dpi, symbionts remained in the infection zone of
nad1-1 mutant nodules (
Figure 1D). In the nitrogen fixation zone, symbiotic cells ruptured, and many rhizobia were released from the cells, but brown deposition was hardly observed. At 10 dpi, most of the symbiotic cells in the root nodules of the
nad1-1 mutant ruptured, which was accompanied by obvious brown deposition. Our dual RNA-seq data elucidated the important role of
NAD1 in plant-rhizobium interaction.
NF production and signal transduction take place not only in the nodule infection zone but also in nitrogen fixing zone which might be associated in particular with infection threads [
35]. During the nodule meristem and differentiation stages of wild-type, the endosymbiosis requires the coordination of plants and rhizobia [
35] Our study data showed that at 6dpi, the expressions of the genes related to NF signaling and nodule meristem and differentiation displayed no difference between
nad1-1 mutant and wild-type (
Figure 4,
Figure 5), implying that
NAD1 had no effect on early-stage NF signaling and nodule meristem and differentiation, which is consistent with the spatio-temporal expression of
NAD1 [
22].
As an extraneous microorganism, the invasion of rhizobia tends to trigger certain plant immunity. In the early-stage symbiotic interactions, the expression levels of some immune response genes in plants are upregulated, but these immune responses are gradually suppressed in subsequent symbiotic interactions [
53]. Although rhizobia are required symbionts in nodules, they must actively suppress or escape from the plant innate immune system so as not to be identified as foes by hosts. As hosts, plants have evolved multiple strategies to regulate their own defense systems to allow rhizobial entry, colonization, and differentiation and nodule organogenesis [
24]. Thus, a balanced immune response between legumes and rhizobia is required for the development of nitrogen-fixing nodules in plants.
In our study, the deletion of NAD1 protein specifically triggered the immune response in the nodules, thus leading to the termination of rhizobia colonization and bacteroid development (
Figure 1D,E), eventually breaking the balance between symbiosis and immunity in nodules. A slight defense reaction including the production of reactive oxygen species (ROS) and defensin-like antimicrobial compounds was observed in the
nad1-1 mutant, which was in line with expression change pattern of the defense-related genes (
PR10,
NDR1, R protein,
EDS1,
MtRbohC) at 6 dpi (
Figure 8A). In this early-stage nodule development, the expressions of most genes related to symbiotic nitrogen fixation in plant exhibited no difference between
nad1-1 mutant and wild type. To escape from host defenses, the rhizobium-infected cells can passively protect themselves and actively modulate host functions [
16]. Although there was no significant difference in the immune-related rhizobial gene expression between
nad1-1mutant and wild-type at 6 dpi, the
nif and
fix genes related to nitrogen fixation exhibited significant difference at this stage. One possible explanation is that defense is more likely to be a cause than a result of blocking nitrogen fixation.
The
nad1-1 mutant made a strong defense response at 10 dpi, which was in agreement with the observation that most of genes related to plant immunity and nitrogen fixation were significantly different between
nad1-1 mutant and wild-type. It has been reported that plants generate reactive oxygen species (ROS) as signaling molecules to participate in the legume-rhizobium symbiotic interaction [
55]. Plant NADPH oxidase (NOX), also known as respiratory burst oxidase homolog (RBOH), is a key producer of reactive oxygen species (ROS) in plants. In our study, RBOHC in
nad1-1 mutant showed significant up-regulation, compared to that in wild-type group at both 6 dpi and 10 dpi, suggesting the involvement of MtRbohC-mediated ROS in defense responses in
nad1-1 mutant [
35]. Furthermore, knocking out the MtRbohBCD gene in the
nad1-1 mutant can weaken the defense responses of nodules [
34], further confirming that MtRbohBCD-mediated ROS is involved in the defense response in nodules.
ROS is produced throughout root nodule development, acting both as antimicrobial agents and signals for nodule organogenesis [
55]. In the early phases of root nodule development, it is crucial to limit ROS levels, enabling the coexistence of rhizobia [
55]. However, higher ROS levels can have a negative impact on the survival of rhizobia [22, 34]. The analysis of rhizobial mutants deficient in various components including glutathione synthetase (
gshB) [
56], thioredoxin (
trxL) [
57], glutaredoxins (
grx1, and
grx2) [
58], superoxide dismutase (
sodA) [
59], and catalases (double mutants
katA/katC or
katB/katC) [
60] revealed that alterations in antioxidant pools and mutations in ROS detoxification enzymes have a negative impact on nodule formation. Additionally, these mutants lead to a reduction in N
2-fixing capacity and the initiation of premature nodule senescence. Furthermore, nodules induced by a deletion mutant of
lsrB in
S. meliloti, which encodes a LysR transcription factor serving as a ROS regulator, exhibited premature senescence coupled with impaired bacteroid differentiation [
51]. Our research reveals that the expression of ROS-related genes did not exhibit difference at 6dpi, but they were noticeably up-regulated at 10 dpi in
nad1-1 mutant (
Figure 8F). This suggests that the rhizobia adjust the expression levels of ROS-related genes to counteract the damage caused by ROS generated by the plant defense.
Nitric oxide (NO) belongs to biologically active compounds and has been confirmed to participate in various stages of nodulation, including rhizobial infection, nodule development, senescence, and nitrogen-fixing ability [
8]. NO may participate in regulating the activity of two N
2 fixation genes,
nifA and
fixK, by forming a complex with the membrane-bound protein FixL [
8]. Increased NO level in nodule inhibits the expression of the rhizobial nitrogenase genes
nifD and
nifH [
61]. Additionally, NO can also induce the cytokinin receptor
CRE1 [
62]. Elevated levels of NO within nodules are obtained through the utilization of
S. meliloti mutant strains (
hmp,
norB,
nnrS1) with impaired NO degradation [
63]. Conversely, via
S. meliloti mutants overexpressing
hmp, a reduction in NO levels was noted [
64]. However, the balance of NO concentration between plants and rhizobia needs to be maintained to avoid its toxic effects, and its mechanisms during nodulation and nitrogen fixation processes remain unclear. Our study provides a detailed exploration of the expression levels of genes associated with NO, laying a theoretical foundation for subsequent research.
4. Materials and Methods
4.1. Growth and Inoculation of Plant cultivation, inoculation, and root-nodule harvest
Wild-type
Medicago truncatula ecotype R108 and homozygous
nad1-1 mutants were employed for the phenotype analysis. Seeds were subjected to scarification in H
2SO
4 for 2 minutes, followed by sterilization with 2.5% active chlorine for 5–8 minutes. Surface-sterilized seeds were synchronized at 4°C in darkness for 2 days. Seeds were placed upside-down on N-free Fahraeus medium containing 1.2% agar, as specified in the Medicago Handbook (
http://www.noble.org/MedicagoHandbook/). The growth experiments were conducted at 22°C in darkness for a duration of 12–16 hours to induce hypocotyl elongation. Germinated seedlings, numbering between nine to twelve, were transplanted into 10 × 10 cm growth pots. These pots contained a perlite: vermiculite mixture in a 1:2 ratio and were supplied with half-strength Fahraeus medium. The plants were cultivated under controlled conditions with a day: night regime of 16 hours at 24°C and 8 hours at 18°C, maintaining a relative humidity of 40–60%. Following four days of growth, each plant was inoculated with 50 ml of
Sinorhizobium meliloti 2011 suspension per pot. The inoculum was prepared to an optical density at OD600 of 0.02. Liquid culture of
S. meliloti 2011 was pelleted by centrifugation after overnight growth in Tryptone Yeast (TY) medium (OD600= 1.0). The pellet was then resuspended in half-strength Fahraeus medium containing 0.5 mM KNO
3. Harvesting of R108 and
nad1-1 mutant nodules were conducted at 6 and 10 days post-inoculation. For the purpose of RNA sequencing (RNA-seq), three independent biological replicates were prepared.
4.2. Acetylene reduction assay
Nitrogenase activity of nodulated roots, detached from intact plants, was measured using the acetylene reduction activity (ARA) method. This involved incubating three to five roots with 2 ml of acetylene (C
2H
2) in a closed 40 ml vial at 28°C for 2 hours. Acetylene gas was generated by reacting CaC
2 (Sigma–Aldrich, CAS No.: 75-20-7) with H
2O and subsequently purified through filtration using a saturated CuSO
4 solution. A volume of one hundred microliters of gas from each vial was utilized to measure the ethylene content employing a GC–4000A gas chromatograph (Dongxi, Beijing, China). For each sample, at least 40 plants divided into ten replicates were analyzed. Nitrogenase activity was calculated by normalization to nodule fresh weight and/or per plant [
35]. Statistical analysis was performed using GraphPad Prism version 6 with Students
t-test; a probability value lower than 0.05 was deemed statistically significant.
4.3. Microscopy Analyses
For microscopy analysis, nodules were excised using a scalpel, allowing for slight trimming if necessary for aesthetics. The nodule surfaces were gently brushed clean using a small bristle brush. Then, harvested nodules were fixed using FAA (Servicebio Cat No.: G1103-500ML) fixative solution, subject to vacuum conditions for 30 minutes, followed by incubation at room temperature for 1-2 hours. Subsequently, the nodules were rinsed twice with phosphate buffer solution at pH 7.2, each time soaking for ten minutes.
The fixed nodules were dehydrated using a gradient of ethanol solutions (30%, 50%, 70%, and 100%). Each ethanol concentration was applied for 10-30 minutes, with three repetitions of the 100% ethanol step. The processed nodules were subjected to resin infiltration through the following procedure: sequential immersion in SolA with anhydrous ethanol ratios of 1:3, 1:1, and 3:1, each lasting 30 minutes to 1 hour, followed by a 1-hour immersion in SolA. SolA was composed of the following components: 100 ml of Technovit 7100 (KULZER No.: 6470003), 1 pack of Hardener I (KULZER No.: 6470003), and 2.5 ml of PEG400 (Sigma CAS No.: 25322-68-3). Following this, the nodules were carefully positioned in molds, with a capacity of 3 to 5 nodules per mold. The embedding solution was introduced gradually along the contours of the mold to prevent nodule displacement. Subsequently, the molds were securely covered with sealing film. Ultimately, the molds were positioned within a fume hood to facilitate solidification. The embedding solution was prepared through the combination of 15 ml of SolA and 1 ml of Hardener II (KULZER No. :6470003), with this preparation procedure being performed on ice. Resin-embedded nodules were sectioned longitudinally into 5 μm slices using a HistoCore AUTOCUT (Leica, Wetzlar, Germany). Nodule sections were stained with toluidine blue at room temperature for 30 minutes, followed by multiple rinses with distilled water using a small amount of water vapor each time. Sections were observed and photographed using a light microscope (Nikon ECLIPSE 80i, Tokyo, Japan). Nodules were observed and photographed by a fluorescence stereo microscope (Olympus SZX16, Tokyo, Japan).
4.4. RNA Isolation/ RNA purification, amplification, and Sequencing
Total RNAs were isolated using the Yeasen RNeasy kit in accordance with the manufacturer’s protocol. Isolated RNA samples were quality checked using an Agilent 2100 Bioanalyzer. Subsequently, an RNA-seq library was constructed and sequenced on an DNBseq platform with paired-end reads at Huada (Shenzhen, China). About 14 Gb cleaned reads were obtained for each sample.
4.5. Dual RNA-seq Data analysis
Raw sequencing reads were analyzed using Fastp for quality control. Clean reads were mapped to the
M. truncatula A17 genome (Mt20120830-LIPM) [
36], and the
S. meliloti genome GMI11495-Rm2011G.20130218.submit.genome.fna (
https://iant.toulouse.inra.fr/bacteria/annotation/site/tmp/WBjXPlZ0/GMI11495-Rm2011G.20130218.submit.genome.fna)respectively. Alignment and quantification were conducted using the STAR software, leading to the generation of read count data. Read counts were then imported into R (
http://www.r-project.org/, v.3.1.2) for normalization and differentially expressed transcripts (fold change ≥ 1, P-value ≤ 0.05) were determined using DESEQ [
65]. PCA analysis and visualization, GO enrichment analysis and visualization, KEGG enrichment analysis and visualization, as well as heatmap generation, were all carried out using R scripts.
Figure 1.
Phenotypes of the wild-type (WT) Medicago truncatula R108 and nad1-1 mutant. A, Growth of WT and nad1-1 at 6 d post inoculation (dpi) and 10 dpi inoculated with Sinorhizobium meliloti 2011. B, Nodule number per plant were measured at 6 dpi and 10 dpi. C, Acetylene reduction assay (ARA) reflecting nitrogenase activity was performed on nodulated plants. D and E, Sections of WT and nad1-1 mutant nodules at 6 dpi and 10 dpi.
Figure 1.
Phenotypes of the wild-type (WT) Medicago truncatula R108 and nad1-1 mutant. A, Growth of WT and nad1-1 at 6 d post inoculation (dpi) and 10 dpi inoculated with Sinorhizobium meliloti 2011. B, Nodule number per plant were measured at 6 dpi and 10 dpi. C, Acetylene reduction assay (ARA) reflecting nitrogenase activity was performed on nodulated plants. D and E, Sections of WT and nad1-1 mutant nodules at 6 dpi and 10 dpi.
Figure 2.
Identification of Signature genes in WT and nad1-1 mutant. A, Principal-component analysis (PCA) of the WT and nad1-1 transcriptome from two different times: nad1-1 6 dpi, wild-type (WT) 6 dpi, nad1-1 10 dpi, wild-type (WT) 10 dpi. B, Number of differentially expressed genes (DEGs) in nad1-1 vs. WT at 6 dpi and 10 dpi. C, Heatmap showing relative expression levels for the ‘‘nad1-1 signature,’’ a set of 125 genes significantly regulated between nad1-1 vs. WT at 6dpi,10dpi in M. truncatula. D, KEGG pathway enrichment analyses of the “nad1-1 signature” genes. E, Violin plot showing expression levels of genes involved in the glutathione metabolism and oxidative phosphorylation pathways. F, Heatmap showing relative expression levels for the genes in the other pathways (D).
Figure 2.
Identification of Signature genes in WT and nad1-1 mutant. A, Principal-component analysis (PCA) of the WT and nad1-1 transcriptome from two different times: nad1-1 6 dpi, wild-type (WT) 6 dpi, nad1-1 10 dpi, wild-type (WT) 10 dpi. B, Number of differentially expressed genes (DEGs) in nad1-1 vs. WT at 6 dpi and 10 dpi. C, Heatmap showing relative expression levels for the ‘‘nad1-1 signature,’’ a set of 125 genes significantly regulated between nad1-1 vs. WT at 6dpi,10dpi in M. truncatula. D, KEGG pathway enrichment analyses of the “nad1-1 signature” genes. E, Violin plot showing expression levels of genes involved in the glutathione metabolism and oxidative phosphorylation pathways. F, Heatmap showing relative expression levels for the genes in the other pathways (D).
Figure 3.
Analysis of different rhizobia transcriptional patterns in nad1-1 vs. WT. A, Principal-component analysis (PCA) of the rhizobia transcriptome from two different times: nad1-1 6 dpi, wild-type (WT) 6 dpi, nad1-1 10 dpi, wild-type (WT) 10 dpi. B, Number of rhizobia differentially expressed genes (DEGs) in nad1-1 vs. WT at 6 dpi and 10 dpi. C, Heatmap showing the relative expression levels of rhizobial genes for the ‘‘Rhizobia signature,’’ a set of 25 genes significantly regulated in nad1-1 vs. WT at 6 dpi and 10 dpi. D, KEGG pathway enrichment analyses of the “Rhizobia signature” genes. E, Heatmap showing expression levels of genes involved in the nitrogen metabolism, two-component system and ABC transporter pathways.
Figure 3.
Analysis of different rhizobia transcriptional patterns in nad1-1 vs. WT. A, Principal-component analysis (PCA) of the rhizobia transcriptome from two different times: nad1-1 6 dpi, wild-type (WT) 6 dpi, nad1-1 10 dpi, wild-type (WT) 10 dpi. B, Number of rhizobia differentially expressed genes (DEGs) in nad1-1 vs. WT at 6 dpi and 10 dpi. C, Heatmap showing the relative expression levels of rhizobial genes for the ‘‘Rhizobia signature,’’ a set of 25 genes significantly regulated in nad1-1 vs. WT at 6 dpi and 10 dpi. D, KEGG pathway enrichment analyses of the “Rhizobia signature” genes. E, Heatmap showing expression levels of genes involved in the nitrogen metabolism, two-component system and ABC transporter pathways.
Figure 4.
Candidate genes involved in the control of nod factor (NF) signaling. A, Heatmap showing the transcriptional expression levels of all plant genes related to nodule NF signaling. B, Barplot showing the expression levels of NF signaling-related genes regulated between nad1-1 and WT at 6 dpi and 10 dpi in M. truncatula. C, Boxplot showing the expression levels of NF-genes regulated in nad1-1 vs. WT at 6 dpi and 10 dpi in S. meliloti.
Figure 4.
Candidate genes involved in the control of nod factor (NF) signaling. A, Heatmap showing the transcriptional expression levels of all plant genes related to nodule NF signaling. B, Barplot showing the expression levels of NF signaling-related genes regulated between nad1-1 and WT at 6 dpi and 10 dpi in M. truncatula. C, Boxplot showing the expression levels of NF-genes regulated in nad1-1 vs. WT at 6 dpi and 10 dpi in S. meliloti.
Figure 5.
Candidate genes involved in the control of the nodule meristem and differentiation. A, Heatmap showing the transcriptional expression levels of all plant genes related to nodule meristem and differentiation. B and C, Gene ranking dotplots showing the DEGs related to nodule meristem and differentiation between nad1-1 and WT at 6 dpi (B) and 10 dpi (C) in M. truncatula. D and E, Rose charts showing the DEGs related to nodule meristem and differentiation at 6 dpi (D) and 10 dpi (E) in S. meliloti.
Figure 5.
Candidate genes involved in the control of the nodule meristem and differentiation. A, Heatmap showing the transcriptional expression levels of all plant genes related to nodule meristem and differentiation. B and C, Gene ranking dotplots showing the DEGs related to nodule meristem and differentiation between nad1-1 and WT at 6 dpi (B) and 10 dpi (C) in M. truncatula. D and E, Rose charts showing the DEGs related to nodule meristem and differentiation at 6 dpi (D) and 10 dpi (E) in S. meliloti.
Figure 6.
Identification of plant and rhizobial transcriptional responses in symbiotic nitrogen fixation processes. A, Heatmap showing relative expression levels for the genes in symbiotic nitrogen fixation processes in M. truncatula. B, Barblot showing expression profiles of leghemoglobin, NCR, and CaM-like genes in M. truncatula. D, Dotchart plot showing expression profiles of nif and fix genes in S. meliloti.
Figure 6.
Identification of plant and rhizobial transcriptional responses in symbiotic nitrogen fixation processes. A, Heatmap showing relative expression levels for the genes in symbiotic nitrogen fixation processes in M. truncatula. B, Barblot showing expression profiles of leghemoglobin, NCR, and CaM-like genes in M. truncatula. D, Dotchart plot showing expression profiles of nif and fix genes in S. meliloti.
Figure 7.
Transcriptomic analysis of M. truncatula gene expression during defense. A and B, Volcano plots showing differential expression of defense genes in nad1-1 vs. WT at 6 dpi (A) and 10 dpi (B). The top 10 genes ordered by log2 fold change are highlighted, and genes with an adjusted p-value of < 0.05 are considered statistically significant. C, Heatmap showing relative expression levels of defense-related genes in plant at 6 dpi and 10 dpi in nad1-1 vs. WT.
Figure 7.
Transcriptomic analysis of M. truncatula gene expression during defense. A and B, Volcano plots showing differential expression of defense genes in nad1-1 vs. WT at 6 dpi (A) and 10 dpi (B). The top 10 genes ordered by log2 fold change are highlighted, and genes with an adjusted p-value of < 0.05 are considered statistically significant. C, Heatmap showing relative expression levels of defense-related genes in plant at 6 dpi and 10 dpi in nad1-1 vs. WT.
Figure 8.
Several pathways are regulated during defense in S. meliloti. A, Expression profiles of defense-related genes at 6dpi and 10 dpi in nad1-1 vs. WT. B, Boxplot of the main genes related to the plant- pathogen interaction pathway. C, Violin plot showing expression levels of genes involved in the TCA cycle pathway. D and F, Bar plots showing relative expression levels for genes in the bacterial secretion system (D), NO, ROS and NCR pathways (F). E, Bean plot showing expression levels of genes involved in the flagellar assembly.
Figure 8.
Several pathways are regulated during defense in S. meliloti. A, Expression profiles of defense-related genes at 6dpi and 10 dpi in nad1-1 vs. WT. B, Boxplot of the main genes related to the plant- pathogen interaction pathway. C, Violin plot showing expression levels of genes involved in the TCA cycle pathway. D and F, Bar plots showing relative expression levels for genes in the bacterial secretion system (D), NO, ROS and NCR pathways (F). E, Bean plot showing expression levels of genes involved in the flagellar assembly.