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Open Access Highly Accessed Research article

Extreme specificity of NCR gene expression in Medicago truncatula

Ibtissem Guefrachi12, Marianna Nagymihaly13, Catalina I Pislariu4, Willem Van de Velde16, Pascal Ratet1, Mohamed Mars2, Michael K Udvardi4, Eva Kondorosi13, Peter Mergaert1* and Benoît Alunni15

Author Affiliations

1 Institut des Sciences du Végétal, Centre National de la Recherche Scientifique UPR2355, 91198 Gif-sur-Yvette, France

2 Research Unit Biodiversity & Valorization of Arid Areas, Bioressources (BVBAA), Faculty of Sciences, Gabès University, Erriadh-Zrig, 6072 Gabès, Tunisia

3 Institute of Biochemistry, Hungarian Academy of Sciences, Biological Research Centre, 6726 Szeged, Hungary

4 Samuel Roberts Noble Foundation, Ardmore, Oklahoma 73401, USA

5 Département de Biologie, Université Paris Sud 11, 91400 Orsay, France

6 Present address: Ablynx, Technologiepark 21, 9052 Zwijnaarde, Belgium

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BMC Genomics 2014, 15:712  doi:10.1186/1471-2164-15-712


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1471-2164/15/712


Received:19 May 2014
Accepted:12 August 2014
Published:25 August 2014

© 2014 Guefrachi et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Abstract

Background

Legumes form root nodules to house nitrogen fixing bacteria of the rhizobium family. The rhizobia are located intracellularly in the symbiotic nodule cells. In the legume Medicago truncatula these cells produce high amounts of Nodule-specific Cysteine-Rich (NCR) peptides which induce differentiation of the rhizobia into enlarged, polyploid and non-cultivable bacterial cells. NCRs are similar to innate immunity antimicrobial peptides. The NCR gene family is extremely large in Medicago with about 600 genes.

Results

Here we used the Medicago truncatula Gene Expression Atlas (MtGEA) and other published microarray data to analyze the expression of 334 NCR genes in 267 different experimental conditions. We find that all but five of these genes are expressed in nodules but in no other plant organ or in response to any other biotic interaction or abiotic stress tested. During symbiosis, none of the genes are induced by Nod factors. The NCR genes are activated in successive waves during nodule organogenesis, correlated with bacterial infection of the nodule cells and with a specific spatial localization of their transcripts from the apical to the proximal nodule zones. However, NCR expression is not associated with nodule senescence. According to their Shannon entropy, a measure expressing tissue specificity of gene expression, the NCR genes are among the most specifically expressed genes in M. truncatula. Moreover, when activated in nodules, their expression level is among the highest of all genes.

Conclusions

Together, these data show that the NCR gene expression is subject to an extreme tight regulation and is only activated during nodule organogenesis in the polyploid symbiotic cells.

Keywords:
Symbiosis; Legume nitrogen fixation; Nodulation; Bacteroid; Medicago truncatula; Sinorhizobium meliloti; NCR; Defensin; Gene expression; Transcriptome compendium

Background

Legume plants establish a symbiotic relationship with nitrogen fixing soil bacteria, known as rhizobia. For the purpose of this symbiosis, the plant host forms new, specific organs on its roots called nodules, inside which the symbiotic rhizobia are housed, fix nitrogen (i.e. the enzymatic reduction of nitrogen gas to ammonium) and transfer the ammonium to the plant. Nodules contain several thousand endoreduplicated giant symbiotic cells, which are each infected with thousands of intracellular rhizobia. These symbiotic cells are adapted to the symbiosis, to the metabolic exchange with the nitrogen fixing rhizobia and to the intracellular accommodation of this large bacterial population. The symbiotic cells originate from dividing progenitor cells in the nodule meristem. A key step in the differentiation of the symbiotic cells is the exit of the cell division cycle of nodule meristematic cells and a switch to an endoreduplication cycle in these post-meristematic cells. An endoreduplication cycle is a modified cell cycle with repeated replication of the genome without mitosis and cytokinesis, resulting in polyploid cells with increased DNA content and cell volume. The cell cycle switch is under the control of the Anaphase Promoting Complex (APC) and its activator Ccs52A [1,2]. The differentiating symbiotic cells are gradually infected and filled with rhizobia. Bacteria are released in the host cells through an endocytosis-like process releasing the intracellular bacteria in organelle-like structures called symbiosomes. Mature symbiotic cells have about 80-fold larger cell volume and endoploidy levels up to 64C compared to the diploid (2C) progenitor cells. Their cytosolic space is entirely packed with symbiosomes and their physiology is adapted for symbiosis, feeding the microsymbionts and assimilating and transporting the fixed nitrogen.

Remarkably, Wildermuth [3] noticed, by comparing different biotrophic interactions of plants, that host cell polyploidy is a common feature of symbiotic interactions with rhizobium bacteria and arbuscular mycorrhizal fungi, as well as parasitic interactions with fungi and nematodes. Even in symbiotic interactions of insects with endosymbiotic bacteria, host cells that house the endosymbionts are endoreduplicated cells (e.g. [4]). Thus polyploid host cells may be a well suited adaptation as an interaction site for nutrient exchange with symbiotic microorganisms and some parasites may have evolved to exploit this.

Synchronously with the differentiation of their host cells, the symbiosome bacteria differentiate into nitrogen-fixing bacteria called bacteroids. These bacteroids have a specific physiology and metabolism adapted to the symbiotic life and nitrogen fixation which are dramatically different from those of a free-living bacterium [5]. Interestingly, the differentiation of bacteroids is often accompanied by a morphological and cytological metamorphosis whereby the bacteroid cell becomes enlarged, its envelope fragilized and its genome amplified (polyploid) and condensed [6,7]. In Medicago truncatula, a class of peptides named NCRs (Nodule-specific Cysteine-Rich Peptides) controls the bacteroid elongation and polyploidization [8]. The NCR peptides are produced by the infected symbiotic cells and are transported to the bacteroid-containing symbiosomes. The NCR peptides can induce bacterial elongation and polyploidization in vitro on cultured rhizobium or in planta when expressed in transgenic Lotus japonicus plants which lack NCRs and form non-elongated bacteroids without genome amplification [8]. Some NCRs accumulate to a significant extent in the cytosol of mature bacteroids [8] suggesting that these peptides may have additional functions, other than inducing the morphological transformation and notably, it has been suggested that these intracellular NCRs may affect the bacteroid metabolism [5]. Indeed, it has been demonstrated for the peptide NCR247 that it has multiple bacterial targets leading to inhibition of cell division and affecting the bacterial transcriptome and translation that collectively contribute to the altered physiology of the endosymbionts [9-11].

NCRs are similar to the defensin-type of antimicrobial peptides, and some NCR peptides have antimicrobial activity, killing rhizobium and other bacteria when applied at high concentration [8,9,12,13]. Defensins and other types of antimicrobial peptides are found in all eukaryotes where they are part of the first line of defense against invading microbes. Thus the NCR peptides likely evolved from the ancestral immune repertoire. NCR genes were originally thought to be unique to the IRLC legume clade [14]. The bacteroids in the nodules of the tested species of this clade all share the elongation and polyploidization feature [6]. However, refined bioinformatics tools for the prediction of small peptides in genome sequences led to the discovery of three putative Arabidopsis genes that encode peptides with the typical pattern of cysteine residues of the NCRs [15]. The existence of multiple NCR genes in several species of the IRLC clade suggests that the ancestral genes may have gained a new function in symbiosis in the common ancestor of IRLC and that increasing its copy number through gene duplications may have conferred a selective advantage. To counteract the antimicrobial activity of the NCR peptides, Sinorhizobium meliloti, the symbiont of Medicago, requires the BacA protein. In the absence of this protein, the bacteroids are immediately killed by the NCR peptides as soon as they are released in the symbiosomes in nodule cells [12].

A striking and unusual feature of the NCR gene family in M. truncatula is that it is composed of about 600 genes which are seemingly all expressed in the nodules [14-18]. In situ expression analysis of individual NCR genes or microarray analysis of a large subset of the family has demonstrated that they are all expressed in the symbiotic nodule cells [8,14,18,19]. Moreover, EST analysis and microarray experiments, testing a number of different plant organs as well as different growth conditions, revealed NCR gene expression only in nodules [14,18,19].

The Medicago truncatula Gene Expression Atlas (MtGEA) [20,21] was generated with the whole genome Affymetrix Medicago Gene Chip and compiles microarray data for the majority of M. truncatula genes (50,900 probe-sets) over a large set of experiments (254 different experiments in MtGEA version 3). The compendium is a unique and currently the richest resource for analysing gene expression in M. truncatula. In this study, we used the MtGEA compendium and additional unpublished and published microarray experiments [22,23] to describe in great detail the expression profiles of the majority of the M. truncatula NCR genes. We show that this gene family has an extreme tissue specific expression profile with undetectable expression in all tissues and conditions except in nodules where they become transcriptionally active to very high levels. In addition, promoter-GUS plants were produced for three NCR genes as well as a specific antibody for one NCR peptide. These tools were used to confirm expression pattern specificity in various conditions, most particularly during biotic interactions.

Results

Global analysis of NCR gene expression

The probe-sets and expression data corresponding to the NCRs described before [14,16] were searched in MtGEA (version 3) using the BLAST search option of the database. Expression profiles of 334 probe-sets were obtained (Additional file 1: Table S1) and their expression patterns in 267 different experimental conditions (254 from MtGEAv3, five unpublished conditions, three from [22] and five from [23]) are summarised in Figure 1. The transcriptome compendium is mostly derived from the M. truncatula genotype ‘Jemalong’ but also contains data sets obtained from the genotypes ‘R108’ and ‘F83005.5’ although all specific experiments discussed below were obtained with the ‘Jemalong’ genotype. As specified in more detail below, the compendium covers the plant’s major organs, various kinds of abiotic and biotic stresses and data from specific cell and tissue types. In the heat map of Figure 1, the experiments are organized in three major groups, namely the profiles of nodule samples, root samples and samples of all other plant organs regardless of the treatment they were submitted to. An obvious global pattern instantly revealed by the heat map is that the nearly complete 334 NCR gene set is only expressed in nodules except for one experiment marked with the red arrowhead, which is a sample annotated in the MtGEA compendium as mycorrhizal roots but is contaminated with nodules (Additional file 2: Figure S1).

Additional file 1: Table S1. NCR probe-sets and expression data. The NCR probe-set annotations are from the Affymetrix Medicago GeneChip. The expression data were extracted from MtGEA, NCBI GEO, and from the spatially-resolved nodule dataset.

Format: XLSX Size: 4.4MB Download fileOpen Data

thumbnailFigure 1. Heat map of NCR gene expression in the MtGEA compendium. The heat map shows the expression of 334 NCR genes (rows) in 267 experimental conditions (columns). Experiments are ordered as indicated above the columns. The color scale bar indicates the expression level from background level (blue) to maximum level (yellow). The red arrowhead indicates the mycorrhizal sample that is contaminated with nodules. The green arrowheads locate the NCR genes with relaxed specificity; from top to down: NCR247, NCR235, NCR122, NCR218 and NCR077. The dataset used for the generation of the heat map is provided in Additional file 1: Table S1.

Additional file 2: Figure S1. Heat map of S. meliloti gene expression in the MtGEA compendium. Figure S2. Expression profile examples of 7 NCR genes. Figure S3. NCR gene expression in response to Nod factors and Myc factors. Figure S4. Representative clusters of spatial and temporal NCR expression profiles. Figure S5. Effect of Phosphinothricin treatment on NCR gene expression. Figure S6. Promoter-GUS analysis of NCR genes in nodules. Figure S7. Immunolocalization of NCR122 in nodule sections. Figure S8. NCR expression in plant tissues. Figure S9. NCR expression in response to phytohormones. Figure S10. Expression of NCR genes during microbial infections and elicitor treatment. Figure S11. Expression of NCR genes during drought and salt stress. Figure S12. Promoter-GUS analysis of NCR genes in infected and wounded leaves. Figure S13. Comparison of the spatial and temporal NCR expression profiles.

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The expression profiles of individual NCR genes show expression to very high levels in the nodule conditions and only background levels in the other experiments (Additional file 2: Figure S2A,B). Such profiles are typical for nearly all NCR genes (Additional file 1: Table S1) but by surveying all NCR probe-sets, 5 exceptions were discovered with more or less relaxed nodule specific expression patterns (Figure 1, green arrowheads; Additional file 2: Figure S2C-G). NCR247 and NCR077 are still mainly expressed in nodules but are also weakly active in other conditions. The NCR247 gene seems to be expressed in different root samples and in some samples from aerial tissues although at lower levels than in nodules. It is not evident from the available information of the different experiments to determine what may activate this expression. NCR077 has a higher than usual background level, possibly because of a less specific probe set, but the gene seems to be also expressed in some mycorrhizal samples (Additional file 2: Figure S2D) including a laser-capture microdissection (LCM) sample of arbuscule-containing cells [24]. NCR218 and NCR122 on the other hand have a completely relaxed specificity and are expressed to similar levels in nodules and in other conditions, mostly roots (Additional file 2: Figure S2E,F). NCR235 expression is similarly specific to most other NCR genes except for a weak expression in stems and shoots, which is about 10- to 100-fold lower than in nodules (Additional file 2: Figure S2G). Also NCR247 is expressed in some of the stem samples. Thus, except for these 5 genes, the complete tested NCR gene set is only expressed in nodules and in none of the other conditions that are present in MtGEA.

Spatio-temporal expression of NCR genes in nodules

The MtGEA compendium contains 42 different nodule samples including samples of wild type nodules harvested at different days post inoculation with S. meliloti and thus at different stages of nodule development. In uninoculated root samples and nodule primordia of 3 dpi, none of the NCR genes are activated (Figure 2A,B). The NCR transcriptomes at 0 dpi and 3 dpi have a correlation coefficient close to 1 (Figure 2D). This suggests that NCRs have no function in the early stages of the interaction. In agreement with this, Nod factor or Myc factor treatments [25] do not induce NCR gene expression (Additional file 2: Figure S3). Nod factors and Myc factors are similar lipochitooligosaccharide signals, produced by rhizobium and mycorrhizal fungi symbionts inducing in the legume host the early stages of nodule and mycorrhizal formation respectively [26,27]. A subset of about 70 NCR genes is activated at 4 dpi with S. meliloti (Figure 2). Some of these genes are already activated at their maximal level while others are only induced to a fraction of their maximal level and reach full expression at a more advanced stage of nodule development (Figure 2). At 6 dpi, most genes are activated but many of them not yet at their maximal level (Figure 2A-C). At 10 dpi the NCR transcriptome seems to be fully activated, to a similar extent as a later time point at 14 dpi. The NCR transcriptomes at 10 dpi and 14 dpi have a correlation coefficient close to 1 (Figure 2D). This pattern hints at a link between the activation of NCR gene expression and the progression of bacterial infection in the incipient nodules.

thumbnailFigure 2. Successive activation of NCR genes during nodule development. (A) Expression level of the 334 NCR probe-sets (x-axis) at 0, 3, 4, 6 and 10 dpi. The y-axis scale is the same for all graphs and is 25,000 at maximum. (B) Heat map of the same expression data as in (A). (C) The ratios of NCR expression levels at 4 dpi, 6 dpi or 10 dpi compared to 14 dpi. For each time point, the genes were ordered from high ratio to low ratio. At 4 dpi, only few NCR genes are activated; at 6 dpi most are activated but not yet at maximum scale; at 10 dpi, nearly all NCR genes are activated at similar level to 14 dpi (ratio close to 1). (D) Heat map of the Pearson correlation of the NCR expression profiles at 0, 3, 4, 6, 10 and 14 dpi.

Because of the presence of an apical meristem, nodules in M. truncatula are of the so-called indeterminate type and all stages of symbiotic cell differentiation, from undifferentiated meristem cells till fully differentiated and functional symbiotic cells, are present in any mature nodule, independent of its age. Therefore, mature nodules are organized in well-defined histological zones: zone I, meristem; zone II, zone of infection and differentiation (polyploidization) of the symbiotic cells; interzone II–III, characterized by amyloplast accumulation; zone III, nitrogen fixation zone with mature functional symbiotic cells; zone IV, senescent zone [7]. This nodule structure suggests that the temporal NCR expression profiles defined above could correlate with a spatial pattern in the nodule tissues. To test this possibility, we analyzed transcriptome data from 4-weeks-old nodules that were hand-sectioned in five different parts (see Methods section). These samples correspond to the nodule tissues from the most apical part of the nodule to the most proximal part and are approximately overlapping with the nodule zones I, II, II-III, III and IV. Cluster analysis of the NCR abundance profiles in these five samples distinguishes groups of NCR genes that have preferential expression in defined zones of the nodule and that are sequentially activated from nodule apex to proximal tissues (Figure 3A and Additional file 2: Figure S4). The transcriptome in specific tissues and cells of nodules was also obtained by LCM [23]. In this experiment, the transcriptome was analyzed in nodule meristems, the distal and the proximal infection zone, the infected cells of the fixation zone and the uninfected cells of the fixation zone (Figure 3B). Although the type of samples are not entirely overlapping, a good correspondence can be observed between the LCM dataset and the hand-dissected dataset (Figure 3A,B). The LCM dataset shows that NCR genes are not expressed in the nodule meristem which is free of rhizobia (Figure 3B). This observation is in agreement with their activation by the infecting rhizobia. It also indicates that the expression of the early NCR genes in the hand-dissected sample I results from the significant presence of cells from the infection zone in that sample. NCR genes were reported to be expressed in infected cells [7]. Unexpectedly, the LCM dataset revealed a relatively high expression of several NCR genes in the uninfected cells (Figure 3B, sample UC). However, among them were the genes NCR001, NCR084, NCR035 and NCR247 for which in situ hybridization, promoter-GUS or -mCherry fusions or immunolocalization of the peptide demonstrated a specific expression in the infected symbiotic nodule cells and no expression in uninfected cells [8,10,14]. Possibly, the signal in the LCM sample of the uninfected cells is the result of some contamination with infected cells or is due to background hybridization coming from the RNA amplification procedure used with the very low amount of RNA obtained from the LCM samples [23]. Nevertheless, when comparing the expression level of all NCRs in the uninfected and infected cells, only two genes had a significant higher expression in the uninfected cells. Strikingly, those two genes are NCR218 (9,6 fold higher; t-test P = 0,002) and NCR122 (3,2 fold higher; t-test P = 0,018) which are the only 2 NCRs that are consistently expressed to high levels in roots (Additional file 2: Figure S2E,F).

thumbnailFigure 3. Spatio-temporal expression of the NCR gene family in nodules. (A) Heat map and hierarchical clustering of NCRs in function of their spatial expression in nodules (samples I to IV, from the youngest, most apical part of the nodules to the oldest, most proximal part). Clustering was performed using Pearson correlation. (B) Heat map of NCR expression profiles obtained by LCM coupled to Affymetrix microarray analysis described by Limpens et al. [23]. M corresponds to meristem, dIZ to the distal zone II or infection zone, pIZ to the proximal zone II, IC to infected cell and UC to uninfected cell. (C) Heat map of NCR expression in function of the nodule age (dpi). The genes in the rows in (B) and (C) are in the same order as in panel (A). For each probe-set in the 3 panels, the relative expression was converted to the log2 value of the ratio representing the zone-specific expression over the average expression in all five zones.

When matching the spatial patterns with the corresponding temporal patterns, a fairly good correspondence can be observed: genes expressed in the apex are mostly also fully activated early during the nodule development at 4 or 6 dpi, while genes expressed in the more proximal tissues are activated late in nodule development (Figure 3). The correspondence between the spatial and temporal pattern of NCR gene expression is also obvious when considering the clusters of genes representing the major expression profiles (Additional file 2: Figure S4). For example, genes of clusters 1 and 2 (Additional file 2: Figure S4) are expressed in the most apical part of the nodule and this correlates with an early activation at 4 or 6 dpi in the temporal pattern. On the other hand, genes in cluster 5 have maximum expression only in sample II-III and this corresponds with an activation late in nodule development at 10 dpi (Additional file 2: Figure S4).

Together these spatio-temporal patterns reveal that the NCR genes are activated in different waves, in agreement with our previous results that identified two key points in nodule development associated with major transcriptional activation, one at the formation of symbiotic cells and another one when bacteroids differentiate [19]. Nevertheless, the present analysis is refining this description and shows that NCR genes are activated in at least 3 waves and moreover they can be distinguished by the maintenance or the decline of their expression in the older nodule cells.

NCR genes are not directly involved in nodule senescence

Because of their resemblance to the defensin-type of antimicrobial peptides [14] and because they have in vitro and in vivo antimicrobial activity [8,9,12,13], part of the NCR family could be involved in the killing of the rhizobia during the senescence process of nodules as has been suggested before [18]. Nodule senescence leads to a complete digestion of the bacteroids and the symbiotic host cells and is controlled by the transcriptional activation of a battery of genes which are involved the digestion of macromolecules and the remobilization of the liberated nutrients [28]. To test whether NCR genes are induced by senescence, we analyzed their expression in nitrate or herbicide induced senescent nodules [20,29] (Figure 4; Additional file 2: Figure S5). Besides the NCR genes, 8 senescence marker genes were included in the analysis (Additional file 1: Table S1) [28]. Both treatments induced senescence as indicated by the strong activation of the senescence marker genes. However, all the NCR genes without exception are reduced in expression by the senescence-inducing treatments, in agreement with a recent report [30]. The downregulation of NCR gene expression is induced very rapidly, within 4 hours of nitrate application [30] or 8 hours of phosphinothricin treatment (Additional file 2: Figure S5) and occurs before the degeneration of the symbiotic cells and their bacterial symbionts [29]. The down-regulation of the NCRs most likely reflects the shutdown of the symbiotic process. This expression pattern suggests that none of the NCR genes has a direct role in senescence. This conclusion is also confirmed by comparing the hand-dissected nodule samples III and IV which are enriched for the nitrogen fixation zone III and the senescence zone IV respectively. None of the NCRs is significantly (t-test P < 0,05) higher expressed in sample IV (Figure 4C).

thumbnailFigure 4. NCR expression during nodule senescence. (A) Scatter plot of the expression of 334 NCRs (blue) and 8 senescence marker genes (red) in 14 dpi nodules (x-axis) and 16 dpi nodules, which have been treated before harvest with nodule senescence-inducing nitrate for 2 days (y-axis) [20]. (B) Scatter plot of the expression of 334 NCRs (blue) and 8 senescence marker genes (red) in 20 dpi nodules (x-axis) and 20 dpi nodules, which were treated for 24 h with phosphinothricin before harvest (y-axis) [29]. (C) Scatter plot of the expression of 334 NCRs (blue) and 8 senescence marker genes (red) in hand-sectioned nodule sample III (x-axis) and in hand-sectioned nodule sample IV (y-axis). The scale of all axes is the same and is 25,000 at maximum. The red line in the three graphs indicates a ratio of 1 between the two conditions that are compared. The probe-sets for the senescence marker genes, encoding cysteine proteinases, a chitinase, a nuclease, a nucleoside transporter and a metal-nicotinamide transporter, are provided in Additional file 1: Table S1.

Promoter-GUS analysis and immunolocalization of selected NCRs in nodules

In order to confirm the expression data from MtGEA, stable transgenic M. truncatula R108 lines were generated carrying promoter-GUS fusion constructs for 3 different NCR genes, representing different temporal classes of NCRs and inoculated with Sinorhizobium meliloti strain 1021 or Sinorhizobium arboris strain B554. NCR001 is not activated before the late stages of the nodule formation, NCR084 is slightly induced in early time points (4 dpi) and fully activated at the mature stage of the nodule and finally NCR121 is an early gene which is already fully activated at 4 dpi. GUS expression in the 3 transgenic lines was not detected in root tips or other root parts (Additional file 2: Figure S6). In agreement with its temporal regulation during nodulation, NCR121 expression was induced in young nodule primordia as early as 5dpi and remained expressed throughout the experiment in the entire infection zone and the fixation zone of mature nodules (Additional file 2: Figure S6). NCR084 expression was detected from 11 dpi on and was mainly confined to the proximal infection zone, the interzone II-III and to the distal part of the fixation zone (Additional file 2: Figure S6). NCR001 expression was detectable from 11 dpi in the developing fixation zone and its expression extends in the following days as the fixation zone is growing (Additional file 2: Figure S6). All 3 genes are only expressed in the symbiotic nodule cells. In older nodules, at 30 dpi, displaying a senescence zone, NCR expression was never detected in the senescing tissues, nor was their expression enhanced in the proximal fixation zone adjacent to the senescent tissue (Additional file 2: Figure S6), confirming that NCR genes are not involved in the senescence process. Overall, the temporal and spatial promoter-GUS expression patterns are in very good agreement with the expression profiles deduced from the transcriptome compendium.

The particular expression pattern of NCR122 with its relaxed tissue specificity (Additional file 2: Figure S2F) and its apparent expression in the uninfected nodule cells, together with the availability of an anti-NCR122 antibody prompted us to specifically analyze the localization of the NCR122 peptide in nodules. Immunolocalization of the peptide revealed indeed a specific presence of NCR122 in the uninfected cells of the central zone of a mature nodule as well as in the uninfected cortical cells of the nodule (Additional file 2: Figure S7). Together with the transcriptome data, this indicates that NCR122 and most likely also NCR218 are the only NCR peptides that are specific to uninfected root and nodule cells.

Expression of NCR genes in plant organs

Previously, NCR expression in conditions other than the symbiosis with rhizobium was tested by EST analysis [14] and with dedicated microarrays [31], indicating the absence of expression. The MtGEA database offers the possibility to extend this analysis to more plant organs and biotic and abiotic stress conditions.

Besides nodules, 8 other plant organs [20] were interrogated for NCR expression (Additional file 2: Figure S8) as well as plant treatments with the phytohormones auxin, cytokinin and auxin transport inhibitors [32,33] (Additional file 2: Figure S9). Interestingly, treatment of roots with the auxin transport inhibitors TIBA or NPA leads to the formation of uninfected nodule-like structures [33]. However, in none of these conditions were NCR genes expressed except for the NCR genes with relaxed expression described above.

NCRs resemble the defensin-type of antimicrobial peptides and plant defensins are often expressed to high levels in “infection-sensitive” organs like flowers or seeds. Because of the complete lack of detectable expression of NCRs in these organs (Additional file 2: Figure S8), they most probably do not have a defensive function in these organs. Nevertheless, many non-NCR defensin-like genes were found to be expressed in seeds, potentially involved in their protection [31].

Expression of NCR genes after biotic and abiotic stress

Defensins are also induced during infection with pathogens or during salt and drought stresses [34-37]. Therefore, we specifically analyzed how the NCR gene family is expressed during such conditions (Additional file 2: Figure S10 and Additional file 2: Figure S11) [22,38-45]. Not considering the 5 NCR genes with relaxed specificity, we could not detect expression of any of the NCR genes in all these data sets together (with the possible exception of giant cells formed by the nematode Meloidogyne incognita; Additional file 2: Figure S10B). Several NCRs showed a hybridization signal in giant cells although the level was about 1 to 2 orders of magnitude lower than the signal in nodules for the same NCR gene. However, it should be noted that the giant cells were isolated by LCM and that the array hybridization was performed with an amplified cDNA sample [42] which could be a source of background hybridization. In any case, besides the possible exception of the giant cells, the data indicate that the NCR genes seem not to be used by the plant to control infections other than the rhizobium bacteria in nodules.

Promoter-GUS analysis of NCR expression during pathogenic interactions

We used the 3 NCR promoter-GUS reporter lines to confirm the absence of NCR expression during pathogenic responses and to complement these observations. The MtGEA dataset includes M. truncatula responses to root pathogens and therefore we analyzed leaf or stem pathogens that encompass also other trophic interactions and infection strategies. Inoculation of M. truncatula leaflets with the necrotrophic soft rotting bacterium Dickeya dadantii 3937 induced maceration symptoms from 1 dpi on, but failed to induce NCR expression (Additional file 2: Figure S12). Similarly infiltration of the virulent strain Pseudomonas syringae pv. tomato DC3000 (Pst) induced necrosis in the infiltrated zone within 2 dpi, whereas the hrcC mutant strain that is unable to form a functional type three secretion system (TTSS) did not induce any visible reaction (Additional file 2: Figure S12). NCR expression was not detected in the infiltrated leaflets in either condition (Additional file 2: Figure S12). Although Pst DC3000 is not described as a natural pathogen of M. truncatula, the necrosis induced by the wild type strain and its absence in the presence of the TTSS mutant suggest that at least some bacterial effector proteins can be specifically recognized by the plant resulting in a necrotic response similar to the hypersensitive response it provokes on non-host Nicotiana benthamiana plants [46]. Similarly, inoculation of the same M. truncatula lines with the necrotrophic polyphagous grey mold-causing fungus Botrytis cinerea yielded typical symptoms at 7 dpi without inducing any detectable NCR expression (Additional file 2: Figure S12). The results of our pathoassays are also in line with a recent study showing that NCR expression was not detected during the compatible interaction of M. truncatula with the hemibiotrophic leaf pathogen Colletotrichum trifolii or with the biotrophic soil pathogen Phytophtora medicaginis[31]. Altogether, our data and the study from [31] are in agreement with the MtGEA dataset and broaden the conclusion that NCRs are not involved in pathogen responses, whatever the trophic (bio-, hemibio- or necrotrophic) interaction, the host or non-host status and the output of the interaction (disease or resistance). Finally, as herbivory and more generally wounding may induce plant defenses around the wounded zone, we also tested the effect of mechanical wounding on NCR expression but again no NCR expression could be detected in the wounded leaflet (Additional file 2: Figure S12).

NCR genes have very high tissue specificity as measured by Shannon entropy

The above analyses reveal an extreme specificity in expression for the NCR gene family: the genes are only expressed in nodules and not in any other organ or physiological condition. To express this specificity quantitatively and to compare it to other types of specifically expressed genes, the complete MtGEA probe-set was analyzed and their Shannon entropy was calculated. Shannon entropy is a metric for characterizing the uniformity of the expression pattern of a gene over the tested conditions [47]. Low entropy values indicate high tissue specificity while high entropy levels characterize ubiquitous expression.

Ten different tissues were taken into consideration: leaf, petiole, stem, bud, flower, seed, pod, root, nodule and mycorrhiza. For nodule, seed and root the mean value of different developmental stages or experiments was used (for “nodule”: 4, 10, 14 and 28 dpi stages; for “seed”: 10, 12, 16, 20, 24 and 36 dap; for “root” the 0 dpi control for nodulation and an independent experiment); thus in total 19 experiments were used. The Shannon entropy was calculated as described (see Methods section) [47,48] for each of the 50,900 probe-sets using these 10 tissue datasets. The 9000 probe-sets with the lowest entropy (and therefore the highest tissue specificity) were selected for further analysis (Additional file 3: Table S2). A hierarchical cluster analysis of these 9000 genes was calculated (Figure 5A). Clusters of tissue specific genes can be distinguished for root, seed, pod, flower, aerial tissues (l/p/s/b), root tissues (r/n/m), nodule and mycorrhiza. The seed, flower, mycorrhiza and especially the nodule clusters are enriched in genes with low entropy value Eg (Figure 5A). The strong enrichment of nodule-specific genes among the low entropy genes becomes more obvious when re-ordering the dataset according the increasing entropy levels (Figure 5B). This analysis shows that in M. truncatula the genes with the lowest entropy and thus the highest tissue specific expression are mostly nodule-specific genes and to a lesser extent, seed- and flower-specific genes. Strikingly, among the nodule-specific genes, the NCRs are the most represented ones (Figure 5B).

Additional file 3: Table S2. Entropy of gene expression. The 9,000 probe-sets with the lowest entropy.

Format: XLSX Size: 3.2MB Download fileOpen Data

thumbnailFigure 5. Shannon entropy. (A) Hierarchical clustering of the 9,000 probe-sets with the highest tissue specificity (lowest entropy values Eg). The expression heat map is in green-black-red colour scheme. The entropy heat map is in blue-black-yellow scheme. The experimental conditions (plant tissues) are in columns and their identities are marked above them. The genes are in rows and the preferential expression of clusters of genes is indicated on their right: ‘l/p/s/b’ indicates two clusters with preferential expression in the aerial tissues leaf, petiole, stem and bud; ‘r/n/m’ indicates a cluster with preferential expression in the underground tissues root, nodule and mycorrhiza. The other clusters labelled ‘root’, ‘seed’, ‘pod’, ‘flower’, ‘nodule’ or ‘mycorrhiza’ correspond to genes with specific expression in one of these tissues only. (B) The data set of panel (A) was ordered according to increasing entropy of the genes. The left panel shows the relative expression level of the 9,000 genes in the 10 tissues (green-black-red heat map) and the entropy values Eg (blue-black-yellow heat map). The location of the NCR genes is indicated with the black-red heat map (NCR): red means NCR, black means other gene type. The right panel is an enlargement for the first 1,800 genes (entropy values Eg from 0.07 to 1.64). The scale bar for the expression level heat map is green: 0, black: 0.5 and red: 1 and for the entropy heat map blue: 0, black: 1.44 and yellow: 2.88 (maximum entropy in the complete data set is 3.32 (log2(N)).

Although the NCR family is by far the most represented among the nodule-specific low entropy genes, many other known nodule specific genes have very low entropy (Additional file 3: Table S2). These include for example leghemoglobin genes, the Glycine-Rich Peptide (GRPs) genes [16,49], the Small Nodulin Acidic RNA-binding Protein (SNARP) gene family [50], genes encoding a small family of secretory calmodulin-like proteins [14,51], the DNF2 gene involved in suppression of defense responses in the symbiotic cells [52] and others. Most interestingly, also putative retrotransposons (probe-sets Mtr.9294.1.S1_at and Mtr.636.1.S1_at) and a Dicer 1-like ribonuclease III gene (probe-set Mtr.41531.1.S1_at) are among the nodule specific low entropy genes (Additional file 3: Table S2).

Besides the high tissue-specificity, another aspect of expression in which the NCRs stand out from the average M. truncatula genes is the strength of expression. We used the hybridization signal on the microarrays as a proxy to strength of gene expression. For each of the 50,900 probe-sets in MtGEA, we searched for its maximal signal in the 267 experiments. These hybridization signals vary from 33,500 for the strongest expressed gene to 9 (background) for the weakest. One percent of the probe-sets have an expression level higher than 15,000, 3% higher than 10,000 and 10% higher than 5,000. The mean signal is 1,687 and the median 459 (Figure 6A). The same analysis on the subset of probes corresponding to the NCR genes gives a completely different picture: 5% of NCR genes have signals above 15,000, 30% above 10,000 and 75% above 5,000 with a mean signal of 7,982 and a median of 7,758 (Figure 6B). Thus, the NCR genes are among both the most specific and the most strongly expressed genes in the genome of M. truncatula.

thumbnailFigure 6. NCR genes are among the most actively expressed genes in M. truncatula. (A) Maximum expression level of the 50,900 M. truncatula probe-sets. (B) Maximum expression level of 334 NCR genes.

Discussion

The expression of NCR genes has been studied - in M. truncatula mostly but also in some other IRLC legumes - at the level of individual genes by RT-PCR, in situ hybridization, immuno-localization and promoter-marker gene fusions or at the family level by EST-analysis, macroarrays, dedicated microarrays or whole-genome microarrays [8,10,14,16,18,19,31,53]. These studies detected NCR expression only in nodules and in no other tested tissues. By mining publicly available whole-genome transcriptome data, we have extended this analysis of NCR gene expression to a very large number of conditions, together covering most plant organs as well as different growth conditions including biotic and abiotic stresses. As a whole, our study suggests that, apart from 5 genes, all NCRs are only expressed in nodules. Moreover, quantifying the specificity of expression with the Shannon entropy factor reveals that the NCR genes, and more generally, nodule specific genes are among the most specifically expressed genes in M. truncatula. This suggests thus that nodulation in Medicago is in large part depending on genes solely dedicated to this symbiotic process. These genes may be resulting from gene duplications followed by neo-functionalization (for example the DNF2 protein or the leghemoglobin proteins which have non-symbiotic homologues) or they may be unique for the symbiosis (possibly the NCRs, GRPs, SNARPs and others). In addition to that, the expression of the NCR genes in nodules reaches very high levels. Even if certain NCR genes are expressed at a low level, the majority of them are among the highest expressed genes in the whole genome of Medicago. This is in agreement with our previous estimation, based on EST counts, that all NCR mRNAs together constitute almost 5% of the total mRNA population in nodules [14].

In accordance with their resemblance to antimicrobial peptides of the innate immunity such as defensins, many NCR peptides, in particular the most cationic ones, have a strong antimicrobial activity against a diversity of bacteria as well as fungi [8–10; unpublished data]. Despite this, the NCR genes are not expressed in any of the pathogenic interactions of Medicago tested here or by [31]. This included interactions with bacteria, fungi, oomycetes and nematodes. They are also not expressed in organs like leaves, seeds and flowers which often express high levels of innate immunity antimicrobial peptides [35]. Therefore, it seems that the NCR peptides have no function in innate immunity.

In situ detection of NCR expression has demonstrated for all the tested genes that they are specifically expressed in the symbiotic nodule cells but different subsets of NCR genes are activated at different stages of differentiation of these host cells ([8,10,14]; this work). Transcriptome analysis extended this pattern to the whole family. The NCR genes are not activated by Nod factors or during the very early stages of the nodule organogenesis when infected cells are not yet formed (this work; [18,19]). During the development of wild type nodules, they are activated in consecutive waves and their first appearance coincides with the formation of infected symbiotic cells [19]. We show here that NCR genes are activated during nodule development in at least 3 temporal waves corresponding to specific spatial expression patterns. Genes activated early in nodule development are expressed in the more distal nodule parts (close to the apex) while genes activated late during development are expressed in the proximal nodule tissues. In addition, certain clusters of genes, once activated, maintain their activity when the tissues grow older while other clusters are characterized by a decline of their expression in the older nodule cells. Our spatial analysis of NCR expression is in strong agreement with a recently published study [54] that used LCM of nodule zones coupled to RNA-Sequencing (Additional file 2: Figure S13).

Transcriptome analysis of non-functional nodules that are formed by bacterial or plant symbiotic mutants and that are arrested at different stages of nodule development, is also in agreement with specific expression of all NCR genes in the symbiotic nodule cells: their transcriptional activation is only observed when polyploid symbiotic cells are formed in the mutant nodules [19]. For example, in nodules of the M. truncatula TE7 mutant which is affected in the IPD3 gene [55,56] and in nodules infected by the S. meliloti exoY mutant, no infected and polyploid symbiotic cells are formed and these nodules do not express any of the NCR genes [19]. Conversely, in nodules infected by the S. meliloti bacA mutant which contain symbiotic cells with undifferentiated bacteroids, only a subset of NCR genes is activated while in other mutants, forming normal symbiotic cells with differentiated bacteroids, NCR genes are activated to a similar extend as in the wild type [18,19]. Together, the expression pattern of all the tested NCR genes suggests that the endosymbiotic rhizobia in the symbiotic nodule cells are the only targets of the peptides. However, the distinct spatio-temporal profiles clearly suggest that NCR peptides have many different roles. Subsets of NCR genes that are expressed during the early stages of symbiotic cell formation might be involved in the elongation and polyploidization of the bacteroids while other subsets that are active in later stages of symbiotic cell formation or even after the completion of the symbiotic cell differentiation might have other functions in the bacteroids. Moreover, we find that the expression of the NCRs has been shut down when nodule senescence is activated, meaning that the antimicrobial NCR peptides have no direct role in the lysis and digestion of the bacteroids that is taking place during senescence of nodules.

Very little is known about how the very specific regulation of NCRs is achieved. Since their expression is correlated with bacterial infection of the symbiotic cells, the perception of bacterial signals such as components of the bacterial envelope could be involved. The transcription factor EFD, belonging to the ethylene response factor family, may control, directly or indirectly, the expression of a subset of NCR genes since a mutant forms nodules in which part of the NCR genes are downregulated and in which bacteroid differentiation is partially impaired [57]. The IPD3 protein is another transcription factor that might be involved, directly or more likely indirectly, in the regulation of the NCR genes and the other symbiotic cell specific genes [58,59]. Indeed, in the M. truncatula ipd3 mutant nodules, the symbiotic cells do not form and the symbiotic cell specific genes, including the NCRs, are not activated [19]. In agreement with this, the IPD3 gene is expressed in the whole nodule and its expression domain overlaps with the NCR expression zone [60].

Searching for potential cis-elements in the promoters of NCR genes with different algorithms yielded 5 different conserved motifs of 41 to 50 bp, which are specifically enriched in the 1000 bp promoter regions [18]. Some of these motifs show resemblance to previously described motifs conferring nodule-specific gene expression. However, the role, if any, of these motifs in the remarkable expression pattern of the NCR genes needs further investigation. Interestingly, some of these motifs comprise Auxin Response Factor binding sites that may suggest a role for auxin in NCR regulation [18]. However, the MtGEA dataset from auxin treated seedlings do not show any NCR induction, pointing out a more complex regulatory mechanism controlling NCR expression.

The very tight regulation of the NCR genes that was revealed here might indicate that besides cis- and trans-acting factors, regulation at the level of chromatin might also be involved in the activation of the NCR genes. Moreover, endoreduplication seems to be a prerequisite for their activation [19] and might thus, by a presently unknown mechanism, be implicated in the activation of this gene family. In that respect, it is interesting to note that the giant feeding cells induced by the nematode M. incognita are highly polyploid cells and possibly express faintly a few NCR genes. Nevertheless, this observation could be an experimental artefact and will require further experimental confirmation.

Genes with high tissue-specific expression are often actively silenced during most of the plant growth by epigenetic mechanisms. Since in M. truncatula the nodule-specific genes display the highest level of expression specificity, it might be worthwhile to investigate if epigenetic control is important in the regulation of the symbiotic cell-specific genes. The nodule-specific expression of putative retrotransposons, which are usually epigenetically silenced, and the Dicer 1-like ribonuclease III gene, which may have a role in epigenetic regulation, as well as the identification of small RNAs potentially targeting NCR genes [61] are all in agreement with such an epigenetic control of the symbiotic cell-specific genes.

Plant genomes contain large numbers, several hundreds to thousands, of resistance genes (R) of the NB-LRR family that recognize specific pathogen effectors and trigger resistance. Silencing by microRNAs has been proposed as a mechanism to avoid unregulated expression of R genes which may be a threat to the plant and represent a fitness cost [62]. Why M. truncatula maintains such a large repertoire of NCR genes is not known. It is also not known whether closely related legumes of the IRLC have an arsenal of NCRs of similar size. However, it seems likely to us that expressing such a large gene family might be a fitness cost for the plant that is not to be neglected. Therefore, keeping the whole gene family under a very tight regulatory control might be essential for the plant.

Conclusions

From the transcriptome data mining and experimental confirmation described here, we can conclude that apart from very few exceptions, the hundreds of NCR genes encoding defensin-like peptides are only activated during nodule formation. They are not expressed in other plant organs, during pathogen attack or abiotic stress. In nodules, they are not yet activated during the very early stages before symbiotic nodule cells are formed and rhizobia are released in symbiosomes within the host cells. NCR genes are also not involved in symbiosome and bacteroid degradation during nodule senescence since their gene expression shuts down when senescence is initiated. However, the expression pattern of NCRs in successive waves during nodule formation suggest that the bacteroids are the only targets of the peptides and that subsets of the peptides might be involved in bacteroid differentiation and other subsets in bacteroid functioning. The NCR genes are among the most specifically expressed genes in M. truncatula. Moreover, when activated in nodules, their expression level is among the highest of all genes. Together, these data show that the NCR gene expression is subject to an extreme tight regulation and is only activated during nodule organogenesis in the symbiotic cells.

Methods

Analysis of MtGEA data

The MtGEA transcriptome compendium was downloaded from the website of the Samuel Roberts Noble foundation (http://mtgea.noble.org/v3/ webcite). The data from [22,23] were obtained from the NCBI Gene Expression Omnibus (accession n° GSE53406 and GSE43354 respectively). All the data were imported in Excel (Additional file 1: Table S1) for extracting the expression profiles of the 334 NCR probe-sets and for further treatments. The NCR probe-sets on the Affymetrix Medicago GeneChip, which was used for the MtGEA transcriptome compendium, were obtained by BLASTn searches on the MtGEA website (Additional file 1: Table S1). Each individual NCR nucleotide sequence resulted in the identification of multiple probe-sets due to the homology between NCR gene sequences. In total 334 different probe-sets were retrieved. This collection represent likely nearly all NCR probe-sets present on the Affymetrix Medicago GeneChip and the remaining genes identified in Young et al. [17] and Zhou et al. [15] are missing from these arrays because they were not yet annotated at the time of array design.

Cluster analysis of the complete MtGEA dataset was performed using the MeV software package (http://sourceforge.net/projects/mev-tm4/ webcite). Briefly, the Excel datasheet extracted from MtGEA was analyzed using the Euclidean distance application with average linkage settings. Heat maps were generated with MeV and histograms and graphs with Excel.

Entropy calculations

Calculations were performed on the MtGEA dataset in Excel. For the normalization of expression levels in N tissues, the relative expression Pt/g of a gene g in a tissue t was calculated as Pt/g = Wt/g1≤tNWt/g where Wt/g is the expression level of the gene g in the tissue t. The Shannon entropy Eg of gene g is calculated as Eg = Σ1≤t≤N-Pt/glog2(Pt/g). Eg ranges from zero for genes expressed in a single tissue to log2(N) for genes expressed uniformly in all tissues considered. Heat maps of entropy values were generated by the MeV software package.

Transcriptome analysis of hand-dissected nodule zones

Using the leghemoglobin colour gradient along the nodule as guideline, five regions from 28 dpi nodules were hand-dissected as previously described [63]. These samples correspond to the nodule tissues from the most apical part of the nodule with the youngest symbiotic cells to the most proximal part containing the oldest symbiotic cells. Sample I is the meristem and the underlying few cell layers of post-meristematic cells which start the infection and differentiation process. Sample II corresponds mainly to the infection and differentiation zone II. Sample II-III corresponds essentially to the interzone II-III. Sample III is the nitrogen fixation zone III, easily characterized by its pink color due to the accumulation of high amounts of leghemoglobin and finally sample IV is the senescence zone IV that is recognized by its green color resulting from the accumulation of biliverdin, a product of the catabolism of leghemoglobin-derived heme. It should be noted that each of these hand-dissected samples is enriched for the indicated zone but can contain cell layers form the adjacent zones as well.

Total RNA extraction and purification were conducted as described [20]. For hybridization onto the Affymetrix M. truncatula Genechip Array probes were synthesized and labelled from 500 ng RNA using the Gene Chip 3′IVT express kit following manufacturer’s guidelines (Affymetrix). Global normalization of expression was carried out using the Robust Multiarray Average Express software [64].

Transgenic plants and GUS analysis

The promoters of NCR001, NCR084 and NCR121 (respectively 2.5 kb, 1.5 kb and 1 kb fragments upstream of the ATG) were obtained by an Amplified Fragment-Length Polymorphism (AFLP) based PCR protocol as described [65] and recombined in the Gateway vector pDONRP4-P1R according to the manufacturer’s instructions (Invitrogen). Primers used for the amplification and cloning of the promoters were: attB4FWD_NCR001, GGGGACAACTTTGTATAGAAAAGTTGGTTGTCCTTATTAGAGCGCC; attB1REV_NCR001, GGGGACTGCTTTTTTGTACAAACTTGTATGTTTCATCCTTTGAACG; attB4FWD_NCR084, GGGGACAACTTTGTATAGAAAAGTTGGCGAGAAAGGAAGGGAAGAA; attB1REV_NCR084, GGGGACTGCTTTTTTGTACAAACTTGTATTTTTCTCCCTTTACATG; attB4FWD_NCR121, GGGGACAACTTTGTATAGAAAAGTTGTCCTTCTATGCATGTTCAAA; attB1REV_NCR121, GGGGACTGCTTTTTTGTACAAACTTGGTTTTTCCCTCTTTATAGGT.

Entry clones for the GUS ORF and the 35S terminator were obtained in the Gateway vectors pDONR221 and pDONRP2R-P3, respectively [8]. Entry clones were recombined in the binary vector pKm43GW [66]. Leaf explants from the M. truncatula line R108 were transformed using Agrobacterium tumefaciens according to the method described in Cosson et al. [67].

For GUS analysis, three independent T2 transgenic lines were each time analyzed to avoid positional effects of the transgene insertion. No pattern variations were observed between independent lines. Untransformed plants and the constitutive GUS line pG3.3 (35S promoter fused to GUS) [68] were used as negative and positive controls respectively. For nodulation kinetics, R108 plants were cultivated on BNM agar plates and inoculated with OD600 = 0.1 suspensions of S. meliloti strain 1021 or Sinorhizobium arboris strain B554 (synonymous strain names LMG 14919 and HAMBI 1552) [69] which is an excellent symbiont of M. truncatula R108 forming numerous large, nitrogen fixing nodules. Samples were collected at indicated time points and embedded in 6% agarose. Tissue sections of 70 μm were prepared with a Leica VT1200S vibratome. GUS staining was done as described [70] and was allowed to proceed for 1 h (Additional file 2: Figure S6). Overnight staining did not alter the expression patterns (data not shown). The pattern of expression of the NCR genes in nodules induced by both Sinorhizobium strains were very similar.

For all pathogen assays, plants were cultivated on perlite/sand (3/1 vol/vol) substrate and watered with a commercial nutrient solution. Six weeks old plants were transferred to a growth chamber with saturating humidity the day before the inoculations and remained in these conditions all along the assay. Dickeya dadantii 3937, Pseudomonas syringae pv. tomato DC3000 and its hrcC derivative strain were cultivated at 30°C in LB medium. Inocula of OD600 = 0.1 were resuspended in 10 mM MgCl2 and were syringe infiltrated in the terminal leaflet of 5–8 leaves per plant. Sterile 10 mM MgCl2 solution was infiltrated as mock control. Botrytis cinerea strain B05.10 was cultivated on PDA medium [71] at 20°C. Spores were collected in ½ potato dextrose broth with 0.01% Tween 20 and inocula were normalized to 106 spores/mL using a Malassez cell. Five microliter drops of mock/inoculum were put on 5 to 8 terminal leaflets per plant. Symptoms were scored at 1, 2 or 7 dpi and leaflets were collected for GUS staining. For wounding experiments, the terminal leaflet of 5–8 leaves per plant were pinched with forceps and collected 24 hours post wounding. Staining for all infections or treatments was allowed for 24 hours in the GUS staining solution at 37°C. The leaflets were transferred to bleach to remove chlorophyll before photographing.

Antibodies and immunolocalization

The mature region of the NCR122 peptide was amplified from cDNA and cloned into the expression vector pBADgIII/A (Invitrogen). Recombinant proteins were purified according to the manufacturer’s instructions and used for immunization of rabbits by a commercial service (Agro-bio). Immunolocalisations were done exactly as described before [8]. For the SYTO13 nucleic acid staining, nodules sections were incubated for 5 minutes with 1 μM SYTO13 in H2O. Immuno- or SYTO13-stained sections were mounted in deionised water for confocal imaging. Fluorescence images were acquired at 1024×1024 pixels resolution with the confocal laser scanning microscope TCS SP2 from Leica, using 10X water-immersion and 63X oil-immersion objectives and Leica software. Images were processed with Adobe Photoshop for adjustment of contrast and brightness.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

PM, MKU, PR, MM, EK and BA conceived and supervised the project. IG, MN, CIP, WVdV and BA performed the experiments. IG, MN, CIP, BA and PM performed data analysis. PM and BA wrote the manuscript with contribution of all authors. All authors read and approved the final manuscript.

Acknowledgements

We thank Eric Giraud and Olivier Pierre for critical reading of the manuscript. Research in the P.M. laboratory is supported by the Agence Nationale de la Recherche, grant ANR-13-BSV7-0013-01. E.K. has been supported by the “SYMBIOTICS” Advanced Grant of the European Research Council Grant 269067.

References

  1. Cebolla A, Vinardell JM, Kiss E, Olah B, Roudier F, Kondorosi A, Kondorosi E: The mitotic inhibitor ccs52 is required for endoreduplication and ploidy-dependent cell enlargement in plants.

    EMBO J 1999, 18:4476-4484. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  2. Vinardell JM, Fedorova E, Cebolla A, Kevei Z, Horvath G, Tarayre S, Roudier F, Mergaert P, Kondorosi A, Kondorosi E: Endoreduplication mediated by the APC activator CCS52A is required for symbiotic cell differentiation in Medicago truncatula nodules.

    Plant Cell 2003, 15:2093-2105. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  3. Wildermuth MC: Modulation of host nuclear ploidy: a common plant biotroph mechanism.

    Curr Opin Plant Biol 2010, 13:449-458. PubMed Abstract | Publisher Full Text OpenURL

  4. Koga R, Meng XY, Tsuchida T, Fukatsu T: Cellular mechanism for selective vertical transmission of an obligate insect symbiont at the bacteriocyte-embryo interface.

    Proc Natl Acad Sci U S A 2012, 109:E1230-E1237. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  5. Kereszt A, Mergaert P, Kondorosi E: Bacteroid development in legume nodules: evolution of mutual benefit or of sacrificial victims?

    Mol Plant-Microbe Interact 2011, 24:1300-1309. Publisher Full Text OpenURL

  6. Mergaert P, Uchiumi T, Alunni B, Evanno G, Cheron A, Catrice O, Mausset AE, Barloy-Hubler F, Galibert F, Kondorosi A, Kondorosi E: Eukaryotic control on bacterial cell cycle and differentiation in Rhizobium-legume symbiosis.

    Proc Natl Acad Sci U S A 2006, 103:5230-5235. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  7. Kondorosi E, Mergaert P, Kereszt A: A paradigm for endosymbiotic life: cell differentiation of Rhizobium bacteria provoked by host plant factors.

    Annu Rev Microbiol 2013, 67:611-628. PubMed Abstract | Publisher Full Text OpenURL

  8. Van de Velde W, Zehirov G, Szatmari A, Debreczeny M, Ishihara H, Kevei Z, Farkas A, Mikulass K, Nagy A, Tiricz H, Satiat-Jeunemaître B, Alunni B, Bourge M, Kucho K, Abe M, Kereszt A, Maorti G, Uchiumi T, Kondorosi E, Mergaert P: Nodule specific peptides govern terminal differentiation of bacteria in symbiosis.

    Science 2010, 327:1122-1126. PubMed Abstract | Publisher Full Text OpenURL

  9. Tiricz H, Szucs A, Farkas A, Pap B, Lima RM, Maróti G, Kondorosi E, Kereszt A: Antimicrobial nodule-specific cysteine-rich peptides induce membrane depolarization-associated changes in the transcriptome of Sinorhizobium meliloti.

    Appl Environ Microbiol 2013, 79:6737-6746. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  10. Farkas A, Maróti G, Dürgő H, Györgypál Z, Lima RM, Medzihradszky KF, Kereszt A, Mergaert P, Kondorosi É: The Medicago truncatula symbiotic peptide NCR247 contributes to bacteroid differentiation through multiple mechanisms.

    Proc Natl Acad Sci U S A 2014, 111:5183-5188. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  11. Penterman J, Abo RP, De Nisco NJ, Arnold MFF, Longhi R, Zanda M, Walker GC: Host plant peptides elicit a transcriptional response to control the Sinorhizobium meliloti cell cycle during symbiosis.

    Proc Natl Acad Sci U S A 2014, 111:3561-3566. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  12. Haag AF, Baloban M, Sani M, Kerscher B, Pierre O, Farkas A, Longhi R, Boncompagni E, Hérouart D, Dall’Angelo S, Kondorosi E, Zanda M, Mergaert P, Ferguson GP: Protection of Sinorhizobium against host cysteine-rich antimicrobial peptides is critical for symbiosis.

    PLoS Biol 2011, 9:e1001169. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  13. Haag AF, Kerscher B, Dall’Angelo S, Sani M, Longhi R, Baloban M, Wilson HM, Mergaert P, Zanda M, Ferguson GP: Role of cysteine residues and disulfide bonds on the activity of a legume root nodule-specific, cysteine-rich peptide.

    J Biol Chem 2012, 287:10791-10798. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  14. Mergaert P, Nikovics K, Kelemen Z, Maunoury N, Vaubert D, Kondorosi A, Kondorosi E: A novel family in Medicago truncatula consisting of more than 300 nodule-specific genes coding for small, secreted polypeptides with conserved cysteine motifs.

    Plant Physiol 2003, 132:161-173. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  15. Zhou P, Silverstein KA, Gao L, Walton JD, Nallu S, Guhlin J, Young ND: Detecting small plant peptides using SPADA (Small Peptide Alignment Discovery Application).

    BMC Bioinformatics 2013, 14:335. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  16. Alunni B, Kevei Z, Redondo-Nieto M, Kondorosi A, Mergaert P, Kondorosi E: Genomic organization and evolutionary insights on GRPs and NCRs, two large nodule-specific gene families in Medicago truncatula.

    Mol Plant-Microbe Interact 2007, 20:1138-1148. Publisher Full Text OpenURL

  17. Young ND, Debellé F, Oldroyd GE, Geurts R, Cannon SB, Udvardi MK, Benedito VA, Mayer KF, Gouzy J, Schoof H, Van de Peer Y, Proost S, Cook DR, Meyers BC, Spannagl M, Cheung F, De Mita S, Krishnakumar V, Gundlach H, Zhou S, Mudge J, Bharti AK, Murray JD, Naoumkina MA, Rosen B, Silverstein KA, Tang H, Rombauts S, Zhao PX, Zhou P, et al.: The Medicago genome provides insight into the evolution of rhizobial symbioses.

    Nature 2011, 480:520-524. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  18. Nallu S, Silverstein KAT, Samac DA, Bucciarelli B, Vance CP, VandenBosch KA: Regulatory patterns of a large family of defensin-like genes expressed in nodules of Medicago truncatula.

    PLoS One 2013, 8:e60355. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  19. Maunoury N, Redondo-Nieto M, Bourcy M, Van de Velde W, Alunni B, Laporte P, Durand P, Agier N, Marissa L, Vaubert D, Delacroix H, Duc G, Ratet P, Aggerbeck L, Kondorosi E, Mergaert P: Differentiation of symbiotic cells and endosymbionts are coupled to two transcriptome-switches in Medicago truncatula nodulation.

    PLoS One 2010, 5:e9519. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  20. Benedito VA, Torres-Jerez I, Murray JD, Andriankaja A, Allen S, Kakar K, Wandrey M, Verdier J, Zuber H, Ott T, Moreau S, Niebel A, Frickey T, Weiller G, He J, Dai X, Zhao PX, Tang Y, Udvardi MK: A gene expression atlas of the model legume Medicago truncatula.

    Plant J 2008, 55:504-513. PubMed Abstract | Publisher Full Text OpenURL

  21. He J, Benedito VA, Wang M, Murray JD, Zhao PX, Tang Y, Udvardi MK: The Medicago truncatula gene expression atlas web server.

    BMC Bioinformatics 2009, 10:441. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  22. Jayaraman D, Valdés-López O, Kaspar CW, Ané JM: Response of Medicago truncatula seedlings to colonization by Salmonella enterica and Escherichia coli O157:H7.

    PLoS One 2014, 9:e87970. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  23. Limpens E, Moling S, Hooiveld G, Pereira PA, Bisseling T, Becker JD, Küster H: Cell- and tissue-specific transcriptome analyses of Medicago truncatula root nodules.

    PLoS One 2013, 8:e64377. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  24. Gaude N, Bortfeld S, Duensing N, Lohse M, Krajinski F: Arbuscule-containing and non-colonized cortical cells of mycorrhizal roots undergo extensive and specific reprogramming during arbuscular mycorrhizal development.

    Plant J 2012, 69:510-528. PubMed Abstract | Publisher Full Text OpenURL

  25. Czaja LF, Hogekamp C, Lamm P, Maillet F, Martinez EA, Samain E, Dénarié J, Küster H, Hohnjec N: Transcriptional responses toward diffusible signals from symbiotic microbes reveal MtNFP- and MtDMI3-dependent reprogramming of host gene expression by arbuscular mycorrhizal fungal lipochitooligosaccharides.

    Plant Physiol 2012, 159:1671-1685. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  26. Downie A: Legume nodulation.

    Curr Biol 2014, 24:R184-R190. PubMed Abstract | Publisher Full Text OpenURL

  27. Maillet F, Poinsot V, André O, Puech-Pagès V, Haouy A, Gueunier M, Crome L, Giraudet D, Formey D, Niebel A, Martinez EA, Driguez H, Bécard G, Dénarié J: Fungal lipochitooligosaccharide symbiotic signals in arbuscular mycorrhiza.

    Nature 2011, 469:58-63. PubMed Abstract | Publisher Full Text OpenURL

  28. Van de Velde W, Pérez-Guerra JC, De Keyser A, De Rycke R, Maunoury N, Mergaert P, Kondorosi E, Holsters M, Goormachtig S: Aging in legume symbiosis: a molecular view on nodule senescence in Medicago truncatula.

    Plant Physiol 2006, 141:711-720. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  29. Seabra AR, Pereira PA, Becker JD, Carvalho HG: Inhibition of glutamine synthetase by phosphinothricin leads to transcriptome reprograming in root nodules of Medicago truncatula.

    Mol Plant-Microbe Interact 2012, 25:976-992. Publisher Full Text OpenURL

  30. Cabeza R, Koester B, Liese R, Lingner A, Baumgarten V, Dirks J, Salinas-Riester G, Pommerenke C, Dittert K, Schulze J: A RNA-Seq transcriptome analysis reveals novel insights into molecular aspects of the nitrate Impact on nodule activity of Medicago truncatula.

    Plant Physiol 2014, 164:400-411. PubMed Abstract | Publisher Full Text OpenURL

  31. Tesfaye M, Silverstein KAT, Nallu S, Wang L, Botanga CJ, Gomez SK, Costa LM, Harrison MJ, Samac DA, Glazebrook J, Katagiri F, Gutierrez-Marcos JF, VandenBosch KA: Spatio-temporal expression patterns of Arabidopsis thaliana and Medicago truncatula defensin-like genes.

    PLoS One 2013, 8:e58992. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  32. Imin N, Goffard N, Nizamidin M, Rolfe BG: Genome-wide transcriptional analysis of super-embryogenic Medicago truncatula explant cultures.

    BMC Plant Biol 2008, 8:110. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  33. Rightmyer AP, Long S: Pseudonodule formation by wild-type and symbiotic mutant Medicago truncatula in response to auxin transport inhibitors.

    Mol Plant-Microbe Interact 2011, 11:1372-1384. OpenURL

  34. Maróti G, Kereszt A, Kondorosi E, Mergaert P: Natural roles of antimicrobial peptides in microbes, plants and animals.

    Res Microbiol 2011, 162:363-374. PubMed Abstract | Publisher Full Text OpenURL

  35. Sels J, Mathys J, De Coninck BM, Cammue BP, De Bolle MF: Plant pathogenesis-related (PR) proteins: a focus on PR peptides.

    Plant Physiol Biochem 2008, 46:941-950. PubMed Abstract | Publisher Full Text OpenURL

  36. De Coninck BM, Sels J, Venmans E, Thys W, Goderis IJ, Carron D, Delauré SL, Cammue BP, De Bolle MF, Mathys J: Arabidopsis thaliana plant defensin AtPDF1.1 is involved in the plant response to biotic stress.

    New Phytol 2010, 87:1075-1088. OpenURL

  37. De Coninck B, Carron D, Tavormina P, Willem L, Craik DJ, Vos C, Thevissen K, Mathys J, Cammue BP: Mining the genome of Arabidopsis thaliana as a basis for the identification of novel bioactive peptides involved in oxidative stress tolerance.

    J Exp Bot 2013, 64:5297-5307. PubMed Abstract | Publisher Full Text OpenURL

  38. Uppalapati SR, Marek SM, Lee HK, Nakashima J, Tang Y, Sledge MK, Dixon RA, Mysore KS: Global gene expression profiling during Medicago truncatula-Phymatotrichopsis omnivora interaction reveals a role for jasmonic acid, ethylene, and the flavonoid pathway in disease development.

    Mol Plant-Microbe Interact 2009, 22:7-17. Publisher Full Text OpenURL

  39. Mah KM, Uppalapati SR, Tang YH, Allen S, Shuai B: Gene expression profiling of Macrophomina phaseolina infected Medicago truncatula roots reveals a role for auxin in plant tolerance against the charcoal rot pathogen.

    Physiol Mol Plant Pathol 2012, 79:21-30. OpenURL

  40. Hogekamp C, Arndt D, Pereira PA, Becker JD, Hohnjec N, Küster H: Laser microdissection unravels cell-type-specific transcription in arbuscular mycorrhizal roots, including CAAT-box transcription factor gene expression correlating with fungal contact and spread.

    Plant Physiol 2011, 157:2023-2043. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  41. Rey T, Nars A, Bonhomme M, Bottin A, Huguet S, Balzergue S, Jardinaud MF, Bono JJ, Cullimore J, Dumas B, Gough C, Jacquet C: NFP, a LysM protein controlling Nod factor perception, also intervenes in Medicago truncatula resistance to pathogens.

    New Phytol 2013, 198:875-886. PubMed Abstract | Publisher Full Text OpenURL

  42. Damiani I, Baldacci-Cresp F, Hopkins J, Andrio E, Balzergue S, Lecomte P, Puppo A, Abad P, Favery B, Hérouart D: Plant genes involved in harbouring symbiotic rhizobia or pathogenic nematodes.

    New Phytol 2012, 194:511-522. PubMed Abstract | Publisher Full Text OpenURL

  43. Naoumkina M, Vaghchhipawala S, Tang Y, Ben Y, Powell RJ, Dixon RA: Different mechanisms for phytoalexin induction by pathogen and wound signals in Medicago truncatula.

    Proc Natl Acad Sci U S A 2007, 104:17909-17915. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  44. Li D, Su Z, Dong J, Wang T: An expression database for roots of the model legume Medicago truncatula under salt stress.

    BMC Genomics 2009, 10:517. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  45. Zhang JY, Cruz DE Carvalho MH, Torres-Jerez I, Kang Y, Allen SN, Huhman DV, Tang Y, Murray J, Sumner LW, Udvardi MK: Global reprogramming of transcription and metabolism in Medicago truncatula during progressive drought and after re-watering.

    Plant Cell Environ

    in press. doi:10.1111/pce.12328

    OpenURL

  46. Hann DR, Rathjen JP: Early events in the pathogenicity of Pseudomonas syringae on Nicotiana benthamiana.

    Plant J 2007, 49:607-618. PubMed Abstract | Publisher Full Text OpenURL

  47. Schug J, Schuller WP, Kappen C, Salbaum JM, Bucan M, Stoeckert CJ Jr: Promoter features related to tissue specificity as measured by Shannon entropy.

    Genome Biol 2005, 6:R33. PubMed Abstract | BioMed Central Full Text | PubMed Central Full Text OpenURL

  48. Zhang X, Yazaki J, Sundaresan A, Cokus S, Chan SW, Chen H, Henderson IR, Shinn P, Pellegrini M, Jacobsen SE, Ecker JR: Genome-wide high-resolution mapping and functional analysis of DNA methylation in Arabidopsis.

    Cell 2006, 126:1189-1201. PubMed Abstract | Publisher Full Text OpenURL

  49. Kevei Z, Vinardell JM, Kiss GB, Kondorosi A, Kondorosi E: Glycine-rich proteins encoded by a nodule-specific gene family are implicated in different stages of symbiotic nodule development in Medicago spp.

    Mol Plant-Microbe Interact 2002, 15:922-931. Publisher Full Text OpenURL

  50. Laporte P, Satiat-Jeunemaître B, Velasco I, Csorba T, Van de Velde W, Campalans A, Burgyan J, Arevalo-Rodriguez M, Crespi M: A novel RNA-binding peptide regulates the establishment of the Medicago truncatulaSinorhizobium meliloti nitrogen-fixing symbiosis.

    Plant J 2010, 62:24-38. PubMed Abstract | Publisher Full Text OpenURL

  51. Liu J, Miller SS, Graham M, Bucciarelli B, Catalano CM, Sherrier DJ, Samac DA, Ivashuta S, Fedorova M, Matsumoto P, Gantt JS, Vance CP: Recruitment of novel calcium-binding proteins for root nodule symbiosis in Medicago truncatula.

    Plant Physiol 2006, 141:167-177. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  52. Bourcy M, Brocard L, Pislariu CI, Cosson V, Mergaert P, Tadege M, Mysore KS, Udvardi MK, Gourion B, Ratet P: Medicago truncatula DNF2 is a PI-PLC-XD-containing protein required for bacteroid persistence and prevention of nodule senescence and defense-like reactions.

    New Phytol 2013, 197:1250-1261. PubMed Abstract | Publisher Full Text OpenURL

  53. Moreau S, Verdenaud M, Ott T, Letort S, de Billy F, Niebel A, Gouzy J, De Carvalho-Niebel F, Gamas P: Transcriptional reprogramming during root nodule development in Medicago truncatula.

    PLoS One 2011, 6:e16463. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  54. Roux B, Rodde N, Jardinaud MF, Timmers T, Sauviac L, Cottret L, Carrère S, Sallet E, Courcelle E, Moreau S, Debellé F, Capela D, de Carvalho-Niebel F, Gouzy J, Bruand C, Gamas P: An integrated analysis of plant and bacterial gene expression in symbiotic root nodules using laser-capture microdissection coupled to RNA sequencing.

    Plant J 2014, 77:817-837. PubMed Abstract | Publisher Full Text OpenURL

  55. Horváth B, Yeun LH, Domonkos A, Halász G, Gobbato E, Ayaydin F, Míró K, Hirsch S, Sun J, Tadege M, Ratet P, Mysore K, Ané JM, Oldroyd GED, Kaló P: Medicago truncatula IPD3 is a member of the common symbiotic signaling pathway required for rhizobial and mycorrhizal symbioses.

    Mol Plant-Microbe Interact 2011, 24:1345-1358. Publisher Full Text OpenURL

  56. Ovchinnikova E, Journet EP, Chabaud M, Cosson V, Ratet P, Duc G, Fedorova E, Liu W, Op den Camp R, Zhukov V, Tikhonovich I, Borisov A, Bisseling T, Limpens E: IPD3 controls the intracellular accommodation of rhizobia in pea and Medicago.

    Mol Plant-Microbe Interact 2011, 24:1333-1344. Publisher Full Text OpenURL

  57. Vernié T, Moreau S, de Billy F, Plet J, Combier JP, Rogers C, Oldroyd G, Frugier F, Niebel A, Gamas P: EFD Is an ERF transcription factor involved in the control of nodule number and differentiation in Medicago truncatula.

    Plant Cell 2008, 20:2696-2713. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  58. Singh S, Katzer K, Lambert J, Cerri M, Parniske M: CYCLOPS, a DNA-binding transcriptional activator, orchestrates symbiotic root nodule development.

    Cell Host Microbe 2014, 15:139-152. PubMed Abstract | Publisher Full Text OpenURL

  59. Limpens E, Bisseling T: CYCLOPS: a new vision on Rhizobium-induced nodule organogenesis.

    Cell Host Microbe 2014, 15:127-129. PubMed Abstract | Publisher Full Text OpenURL

  60. Messinese E, Mun JH, Yeun LH, Jayaraman D, Rougé P, Barre A, Lougnon G, Schornack S, Bono JJ, Cook DR, Ané JM: A novel nuclear protein interacts with the symbiotic DMI3 calcium- and calmodulin-dependent protein kinase of Medicago truncatula.

    Mol Plant-Microbe Interact 2007, 20:912-921. Publisher Full Text OpenURL

  61. Lelandais-Brière C, Naya L, Sallet E, Calenge F, Frugier F, Hartmann C, Gouzy J, Crespi M: Genome-wide Medicago truncatula small RNA analysis revealed novel microRNAs and isoforms differentially regulated in roots and nodules.

    Plant Cell 2009, 21:2780-2796. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  62. Li F, Pignatta D, Bendix C, Brunkard JO, Cohn MM, Tung J, Sun H, Kumar P, Baker B: MicroRNA regulation of plant innate immune receptors.

    Proc Natl Acad Sci U S A 2012, 109:1790-1795. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  63. Zhou C, Han L, Pislariu C, Nakashima J, Fu C, Jiang Q, Quan L, Blancaflor E, Tang Y, Bouton JH, Udvardi M, Xia G, Wang ZY: From model to crop: functional analysis of a STAY-GREEN gene in the model legume Medicago truncatula and effective use of the gene for alfalfa improvement.

    Plant Physiol 2011, 157:1483-1496. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  64. Irizarry RA, Hobbs B, Collin F, Beazer-Barclay YD, Antonellis KJ, Scherf U, Speed TP: Exploration, normalization, and summaries of high density oligonucleotide array probe level data.

    Biostatistics 2003, 4:249-264. PubMed Abstract | Publisher Full Text OpenURL

  65. Ratet P, Wen J, Cosson V, Tadege M, Mysore KS: Tnt1 Induced Mutations in Medicago: Characterisation and Applications. In The Handbook of Plant Mutation Screening, Mining of Natural and Induced Alleles. Edited by Meksem K, Kahl G. KGaA,Weinheim: Wiley-VCH Verlag GmbH & Co; 2010:83-99. OpenURL

  66. Karimi M, De Meyer B, Hilson P: Modular cloning in plant cells.

    Trends Plant Sci 2005, 10:103-105. PubMed Abstract | Publisher Full Text OpenURL

  67. Cosson V, Durand P, D’Erfurth I, Kondorosi A, Ratet P: Medicago truncatula transformation using leaf explants.

    Methods Mol Biol 2006, 343:115-127. PubMed Abstract | Publisher Full Text OpenURL

  68. Mondy S, Lenglet A, Cosson V, Pelletier S, Pateyron S, Gilard F, Scholte M, Brocard L, Couzigou J-M, Tcherkez G, Péan M, Ratet P: GOLLUM [FeFe]-hydrogenase-like proteins are essential for plant development in normoxic conditions and modulate energy metabolism.

    Plant Cell Env 2013, 37:54-69. OpenURL

  69. Nick G, de Lajudie P, Eardly BD, Suomalainen S, Paulin L, Zhang X, Gillis M, Lindström K: Sinorhizobium arboris sp. nov. and Sinorhizobium kostiense sp. nov., isolated from leguminous trees in Sudan and Kenya.

    Int J Syst Evol Microbiol 1999, 49:1359-1368. OpenURL

  70. Vanstraelen M, Baloban M, Da Ines O, Cultrone A, Lammens T, Boudolf V, Brown SC, De Veylder L, Mergaert P, Kondorosi E: APC/C-CCS52A complexes control meristem maintenance in the Arabidopsis root.

    Proc Natl Acad Sci U S A 2009, 106:11806-11811. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL

  71. Amselem J, Cuomo CA, van Kan JAL, Viaud M, Benito EP, Couloux A, Coutinho PM, de Vries RP, Dyer PS, Fillinger S, Fournier E, Gout L, Hahn M, Kohn L, Lapalu N, Plummer KM, Pradier JM, Quévillon E, Sharon A, Simon A, ten Have A, Tudzynski B, Tudzynski P, Wincker P, Andrew M, Anthouard V, Beever RE, Beffa R, Benoit I, Bouzid O, et al.: Genomic analysis of the necrotrophic fungal pathogens Sclerotinia sclerotiorum and Botrytis cinerea.

    PLoS Genet 2011, 7:e1002230. PubMed Abstract | Publisher Full Text | PubMed Central Full Text OpenURL