Identification and Characterization of Abiotic Stress Responsive CBL-CIPK Family Genes in Medicago

Abstract

The calcineurin B-like protein (CBL) and CBL-interacting protein kinase (CIPK) play important roles in plant signal transduction and response to abiotic stress. Plants of Medicago genus contain many important forages, and their growth is often affected by a variety of abiotic stresses. However, studies on the CBL and CIPK family member and their function are rare in Medicago. In this study, a total of 23 CBL and 58 CIPK genes were identified from the genome of Medicago sativa as an important forage crop, and Medicaog truncatula as the model plant. Phylogenetic analysis suggested that these CBL and CIPK genes could be classified into five and seven groups, respectively. Moreover, these genes/proteins showed diverse exon-intron organizations, architectures of conserved protein motifs. Many stress-related cis-acting elements were found in their promoter region. In addition, transcriptional analyses showed that these CBL and CIPK genes exhibited distinct expression patterns in various tissues, and in response to drought, salt, and abscisic acid treatments. In particular, the expression levels of MtCIPK2 (MsCIPK3), MtCIPK17 (MsCIPK11), and MtCIPK18 (MsCIPK12) were significantly increased under PEG, NaCl, and ABA treatments. Collectively, our study suggested that CBL and CIPK genes play crucial roles in response to various abiotic stresses in Medicago.

1. Introduction

Plants are exposed to various adverse environment stresses during their growth and development process, including high salinity, drought, cold, and pathogens. Plants have evolved complex signal transduction pathways to cope with these fluctuating environments during their life cycle [1]. Calcium, an important second messenger in plant cell signaling, involves various signal transduction pathways [2]. Calcium is able to convert external signals into cytoplasmic information to further drive the response to specific stimuli [3]. Calcium signals are mainly perceived by Ca²⁺ sensors, including calmodulins (CAMs), calmodulin-like proteins (CMLs), calcium-dependent protein kinases (CDPKs), and the plant-specific calcineurin B-like proteins (CBLs) [4]. The CBLs belong to a unique group of calcium sensors in plants that can be specifically targeted by CBL-interacting protein kinases (CIPKs) to transduce the perceived calcium signal upon various stimulations. CBLs and CIPKs together form the Ca²⁺-mediated CBL-CIPK network [5].

CBL proteins share some signature motifs or domains. CBL proteins contain an important structural component as calcium binding sites, which can capture Ca²⁺ ions through four EF hand domains, and the number of amino acids spaced between the four EF-hand domains is conservative [6,7]. Furthermore, serine residue in the PFPF motif, is necessary for CIPKs to phosphorylate CBLs [8]. There are two important domains in the C-terminal. The conserved NAF motif is responsible for the interaction with Ca²⁺ bound CBLs, thus activating targeted CIPKs [9,10]. Another important domain is the protein phosphotase interaction (PPI) domain, which can target the special member of the protein phosphotase 2C [11].

CBL and CIPK genes have been identified in many plant species, including Arabidopsis thaliana [2], Oryza sativa [12], Brassica napus [1], and Ananas comosus [13]. Many studies have demonstrated that the CBL and CIPK proteins can function properly. For example, the over-expression of AtCBL5 confer salt tolerance in the transgenic Arabidopsis plants [14]. AtCIPK8 itself can regulate the low-affinity phase of the nitrate primary response [15]. Meanwhile, the CBL and CIPK can work together as a network to widely regulate various metabolism processes in plant response to abiotic stress and nutrient signaling cascades [16,17,18], which included, but were not limited to, the transport of sodium (Na⁺), potassium (K⁺), nitrate (NO³⁻) cross plasma membrane and vacuole membrane, and in auxin and ABA signal transduction [19]. Meanwhile, the CBL-CIPK network can transfer the kinase to the plasma membrane and activate the plasma membrane-localized Na⁺/H⁺ antiporter AtNHX7 (SOS1) and the vacuolar H⁺-ATPase to improve salt tolerance in roots of Arabidopsis (AtCBL4-AtCIPK24 pathway) [3,20,21]. Moreover, AtCBL10 can target AtCIPK24, and this interaction is related to the vacuolar compartments and can protect shoots from salt stress [22].

Alfalfa (M. sativa) is a perennial legume plant, which is one of the important forage crops. Alfalfa had high yield (representing about 2600 kg per hectare) and high protein content (with about 15–20% of crude protein) [23,24]. However, the genetic analysis on the tetraploid alfalfa genome is complicated due to the general intolerance of inbreeding. On the other hand, alfalfa is not tolerant to many abiotic stresses in the ecosystem [24]. M. truncatula emerged as model legumes for fundamental research in the 1990s [25]. As a reference species, M. truncatula has many advantages, such as short life cycle, easy control of diploid inheritance, small genome, easy transformation, high genetic diversity, and homology with legumes that have much larger genomes [25]. Abundant genome and genetic resources are available for M. truncatula, which is also valuable for the comparable studies of its close relative alfalfa.

Therefore, in the present study, we investigated the CBL and CIPK genes closely related to abiotic stress through comparative analysis between M. sativa and M. truncatula. We identified CBL and CIPK genes from both plant species, and analyzed their multiple sequence alignment, phylogenetic relationship, gene structure, protein motifs, and cis-acting elements. Furthermore, the expression profiles of CBLs and CIPKs of M. sativa and M. truncatula in response to various abiotic stresses were analyzed. Our comparative studies on CBL and CIPK genes from M. sativa and M. truncatula will provide a basis for future investigation on abiotic stress responses medicated by CBLs and CIPKs, and will facilitate the functional characterization of individual CBLs and CIPKs genes in responses to stresses and developmental signals.

2. Results

2.1. Identification of CBL-CIPK Genes in the M. sativa and M. truncatula Genome

Based on domain confirmation and homology search, a total of 10 CBLs and 26 CIPKs from M. sativa, and 13 CBLs and 32 CIPKs from M. truncatula, were identified, respectively. Their sequence were obtained from the M. sativa and M. truncatula genome database and further analyzed. Physico-chemical properties of CBL and CIPK genes, including TIGR locus, homologous gene, molecular weights, isoelectric points, possible subcellular localization were listed in Table 1. The encoded protein length of Ms/Mt CBL and Ms/Mt CIPK genes range from 173–336/191–257 aa and 207–519/237–518 aa. We also found the corresponding MW of Ms/Mt CBL and Ms/Mt CIPK ranged from 19.49–38.24/21.89–29.50 kDa and 25.00–58.00/23.36–57.89 kDa.

In addition, the isoelectric point (pI) of the Ms/Mt CBL and Ms/Mt CIPK ranges from 4.55–6.20/4.44–5.02 and 4.65–9.29/5.69–9.44, respectively (Table 1 and Table 2). The corresponding homologous CBL and CIPK genes of M. sativa and M. truncatula were identified in parallel by sequence alignment. The predicted subcellular locations suggested that most of the CBL and CIPK proteins from M. sativa and M. truncatula were located in the plasma membrane or extracellular (Table 1 and Table 2).

2.2. Multiple Sequence Alignment, Phylogenetic Analysis and Classification of CBL and CIPK Genes

Sequence alignments of the multiple amino acids between MsCBLs and MtCBLs indicated that the sequences of MsCBLs and MtCBLs are highly conserved (Figure S1): all the CBLs containing four EF hand motifs and one PFPF motif, which are similar to the CBLs from Arabidopsis [6]. Among them, MsCBL2 had no EF hand 4 motif and PFPF motif, MtCBL3 had no PFPF motif, and MsCBL8 had no EF hand 2 and 3 motifs.

Similarly, the alignment results showed that all the CIPKs contain an N-terminal catalytic kinase domain and a C terminal regulatory domain, which are jointed by a variable domain (Figure S2). Correspondingly, the multiple amino acids of CIPK includes four domains: ATP binding site motif, activation loop motif, NAF motif and PPI motif [9]. Among them, MsCIPK23, MsCIPK26, and MtCIPK11 do not have ATP binding site motif. MsCIPK24 and MtCIPK22 do not have the activation loop motif, and they are homologous genes. MsCIPK10, 11, 12, 13, 14 do not have NAF motif, although they have been reported to be necessary to mediate interactions between CBL and CIPK proteins. In addition, MsCIPK15, 23, and MtCIPK10, 11, 12, 13, 14, 22 do not contain PPI motif.

To investigate the evolutionary relationships of CBL and CIPK between M. truncatula and M. sativa and proteins from other plant species, a phylogenetic tree was constructed using the full amino acid sequences of CBL and CIPK family proteins from M. sativa, M. truncatula, and A. thaliana. It was shown that all of the CBLs could be classified into five distinct groups (I to V, Figure 1a), and all CIPKs into seven distinct groups (group A to G, Figure 1b) based on their sequence similarity, respectively. All of the CBL and CIPK genes from M. sativa and M. truncatula have their corresponding homologous genes.

Most CBL and CIPK genes in M. sativa and M. truncatula have homologous genes in Arabidopsis. The largest cluster for CBL was group I with 15 members, and the smallest cluster was group V with two members. However, there was no CBL member from Arabidopsis in group V, only a pair of homologous genes MsCBL9 and MtCBL8. In addition, the largest group of CIPK are group A and G with both 18 members, and the smallest group is D, with only 6 CIPK members. In group B, 9 CIPK members of M. sativa and M. truncatula were closely related, but no AtCIPK members was found in this group.

2.3. Analyses of Conserved Motif and Gene Structure

Conserved motifs and intron/exon organization were analyzed in order to further investigate the structural features of CBLs and CIPKs of M. sativa and M. truncatula (Figure 2a). In the CBL proteins, motifs 1–3, 5, 7–8 corresponded to the conserved domain EF hand, while motif 4 corresponded to the conserved domain PFPF motif. Motif 1, 5, 8, 9 of CIPK proteins play key roles, which correspond to activation loop, ATP binding site, PPI motif, and NAF motif, respectively. The conserved NAF motif mediates CBL and CIPK physical interactions [9], indicating that the identified CIPKs may be functionally linked in the CBL and CIPK network. Moreover, the deletion of NAF motif gene was only found in group C, which may be related to classification and function. However, they all have motif 1 of the activation loop or motif 5 of the ATP binding site domain. Therefore, all the 8 CIPKs identified in this study showed conserved features of the CIPKs family, which is consistent with the motif analysis of CIPKs in Arabidopsis [2].

The gene structure of CBLs and CIPKs was analyzed, and it showed that each CBL has multiple introns. However, CIPK family members were clustered into an intron-rich clade (≥5 introns per gene) and an intron-poor clade (≤2 introns per gene), the intron-rich CIPK genes were clustered in subgroup F and G, while the intron-poor genes are presented in the other five subgroups (A–E). The structural differences in the CIPKs may allow CIPK genes to function differently because of the functional domains determine the function of genes [9].

2.4. Analysis of Collinearity and Chromosome Location of CBL and CIPK Genes

To further investigate the evolutionary mechanism of CBL and CIPK gene family, both tandem and segmental duplication events were analyzed. Overall, the distribution of CBL and CIPKs are not even in both M. truncatula and M. sativa. MtCBLs were distributed on six out of all eight chromosomes. There are four MtCBL genes in chromosome 2, three in chromosome 4 and 8, and one in chromosome 1, 3, 5; but none in chromosome 6 or 7 (Figure 3a). Unlike M. truncatula, CBL genes in M. sativa distributed only on 5 chromosomes, but not on chromosomes 1, 6, and 7 (Figure 3b). Additionally, four, two, two, one, and one CBLs genes were on chromosomes 8, 3, 5, 2, and 4 of M. sativa, respectively (Figure 3b).

For the CIPK genes, except chromosome 6 that did not have any gene for both M. truncatula and M. sativa (Figure 3b), all the other chromosomes have two to eight CIPKs for both M. truncatula and M. sativa (Figure 3b). In comparison, chromosome 3 of M. truncatula, and chromosome 8 of M. sativa had the most CIPK genes (Figure 3).

In addition, one CBL gene pair and one CIPK gene pair could be identified as segmental duplication events, two for MtCBL, four for MtCIPK, and one for MsCIPK were found to be tandem duplication in M. truncatula and M. sativa (Figure 3a,b). All above results inferred that both segmental duplication and tandem duplication events played an important driving force for the evolution of CBL genes, and the later played a predominant role. It is worth mentioning that although M. sativa and M. truncatula each had a pair of duplication genes, the number of tandem duplication genes in M. truncatula is far more than that of M. sativa.

Furthermore, three comparative syntenic maps of M. sativa and M. truncatula associated with the representative plant species Arabidopsis were constructed to illustrate the evolution relationship of CBL and CIPK genes family (Figure 3c). Notably, three orthologous pairs and 28 orthologous pairs were found between M. truncatula and Arabidopsis, and M. truncatula and M. sativa, respectively (Supplementary File S1). There were two genes in M. truncatula which showed a collinear relationship with Arabidopsis and M. sativa, respectively. MtCBL7 was collinear with MsCBL5 and MsCBL8, and MsCBL10 was collinear with MtCBL2 and MtCBL9. Correspondingly, MtCIPK21 and MtCIPK23 were found to be associated with two collinear gene pairs in Arabidopsis and M. sativa, which may play a special role in the growth and development of Medicago.

Moreover, to better understand the evolutionary selection pressure during the formation of CBL and CIPK gene families, the Ka/Ks values of CBL and CIPK gene pairs were analyzed for both M. sativa and M. truncatula (Supplementary File S1). Among all the CBL and CIPK gene pairs that are repeated in tandem and in segments, as well as the M. sativa and M. truncatula orthologous gene pairs, except for a homologous gene pairs (MtCBL8-MsCBL9), the Ka/Ks values of the remaining gene pairs are all less than 1. Taken together, these results indicated that the CBL and CIPK genes of M. sativa and M. truncatula may have undergone strong purification selection pressure during evolution.

2.5. Analyses of the Cis-Acting Element and Location of CBL and CIPK Genes

The cis-acting element is important for the binding of transcription factors, which control the expression of many target genes. Here, we focused on hormones and abiotic stress related cis-acting elements, including auxin responsive (AuxRE-core), gibberellin-responsive (GARE-motif, P-box, TATC-box), MeJA-responsive (TGACG-motif, CGTCA-motif), abscisic acid-responsive (ABRE), ethylene-responsive (ERE), salicylic acid responsiveness (TCA-element), defense and stress responsiveness (TC-rich repeats, W-box), wound responses (WUN motif), MYB binding site involved in drought-inducibility (MBS), low temperature-responsive (LTR), and anaerobic induction (ARE) (Figure 4 and Supplementary File S2).

Our results showed that the promoter of CBLs and CIPKs genes contained various cis-acting elements with different number. In particular, many of them have stress-related cis-acting elements including ABRE, W-box, and MBS repeats (Figure 4). Among them, MtCBL3, 6, MsCBL3, 9 have at least three ABRE repeat elements (Figure 4b,c). In addition, MtCIPK5, MsCIPK6, MsCIPK10 contain seven, eight, and ten W-box repeat elements, respectively (Figure 4b,c) and MtCIPK15, 16, 19, 28, MsCIPK5, 7, contain at least three W-box repeat elements. Moreover, only MtCIPK7 contained three MBS elements, and all the other genes had less than three MBS elements (Figure 4b,c). These genes are likely inducible by various stresses.

2.6. Analysis of the Expression Levels of CBL and CIPK Genes from Microarray Data

It is well known that CBL-CIPK complexes play important roles in the response of plants to external stimuli from environment [20,21,26]. Therefore, we retrieved genechip data of M. truncatula from the MtGEA web server (root under culture salinity, root under hydroponic salinity, root and shoot under drought treatment), and analyzed gene expression profiles in M. truncatula. One representative probe was selected for each gene, and the expression level of the representative probe is relatively close to the average value of multiple probes (Supplementary File S3).

To further screen the stress responsive genes under different stress treatments, the average change folds of each gene under individual treatment (total change folds for all treatments/number of treatments) of the MtCBL and MtCIPK genes in each treatment under different stress treatments was calculated (Figure 5 and Supplementary File S3). In addition, we also counted the number of treatments for each gene that were up-regulated by more than 2 times, which is consistent with the results of the above genes (Figure 5). Our expression analysis indicated that many CBL and CIPK genes are induced by these stresses (Figure 5).

Under drought treatment, 13 genes (MtCIPK1, MtCBL6, MtCIPK2, etc.) and 18 genes (MtCIPK32, MtCBL9, MtCBL29, etc.) were high induced in roots or in shoots, respectively (Figure 5a,b). In details, the expression levels of these genes were significantly increased under drought stress, but decreased after re-watering. It is worth noting that MtCBL6 and MtCBL9 were the only two CBL genes that were highly induced upon drought treatment, whether in roots or in stems (Figure 5a,b).

In addition, the gene expression levels were investigated in the roots that were treated with NaCl under culture and hydroponic condition, and it was found that 16 genes (MtCIPK2, MtCIPK8, MtCIPK21, etc., Figure 5c) and 18 genes (MtCIPK22, MtCIPK26, MtCIPK18, etc., Figure 5d) were highly induced under these two conditions, respectively. Notably, all of them were CIPK genes except one CBL (MtCBL12) gene that were highly induced under the culture NaCl treatment condition.

Moreover, Venn diagram, showing the differential expression level of all genes under four different treatments (Figure 5a–d), demonstrated that 17 genes were highly expressed under both drought and NaCl treatment (in red in Figure 5e). In particular, MtCIPK1, 3, 17, 18, 21 showed relatively higher expression level than the other genes under four different treatments (Figure 5f).

Due to the close relationship between gene expression level and gene function, we also investigated the expression profiles of CBLs and CIPKs in seven tissues of M. truncatula (root, stem, leaf, flower, pod, seed, and bud) with available microarray data (Figure 5g). Remarkably, 12 genes (MtCIPK1, 2, 7, 8, 23, 26, 27, 28, 29, 32, and MtCBL7, 10) showed relatively high expression level in various tissues. On the contrary, 6 genes (MtCBL2, 6, 8, and MtCIPK3, 17, 22) were expressed at relatively low level in different tissues (Figure 5g). Besides, the expression levels of the remaining 12 genes (MtCIPK1, 9, 12, 13 and MtCIPK18–21, 24, 25, 30, and 31) showed different pattern in various tissues. Altogether, the expression profiles of CBLs and CIPKs genes varied greatly, suggesting that they may be functional in different tissues.

2.7. Validation of the Expression Profile of Stress-Responsive CBL and CIPK Genes by qPCR Analysis

In order to verify the expression profiles of MtCBL and MtCIPK genes from microarray data, qPCR verification were carried out with ten selected genes. Among them, three MtCIPK genes (MtCIPK2, 26, 28) and two MtCBL genes (MtCBL7, 10) were selected among the highly expressed genes as representatives (Figure 5g). In addition to these five genes, the other five genes (MtCIPK1, 3, 17, 18, 21) were also selected for qPCR verification because they were highly inducible under stresses (Figure 5f). In addition, their homology genes from M. sativa, as shown in Table 1 and Table 2, were also selected as gene pairs for qPCR verification for comparison purpose.

The expression of these twenty genes were analyzed under two stresses (NaCl and PEG) and ABA treatments (Figure 6). Overall, most genes were strongly induced by multiple treatments. In more details, under PEG stress, all of these genes except MsCIPK25, were significantly up-regulated to different levels, although their patterns are not the same for M. truncatula or M. sativa at different time points (Figure 6, left). Under NaCl treatment, many of the genes were up-regulation at different level and time points, but MtCIPK1–3, 8 and MtCBL10 particularly were significantly up-regulated at 72 h (Figure 6, middle). Upon ABA treatment, the fold changes of all genes were not more than 15 folds, with many of them around 6 folds (Figure 6, right). However, the expression levels of MsCBL5, 6, MsCIPK2, 4, 11, 25 did not show any significant changes, indicating they were not induced by ABA treatment (Figure 6, right).

3. Discussion

The signaling system composed of CBLs and CIPKs as a calcium sensors is a key regulatory node in stress signaling pathways in plant. Significantly, regulation of membrane transport processes seems to be an emerging theme in the function of CBL-CIPK signaling machinery [19]. Extensive evidence confirmed the idea that CBL-CIPK proteins network regulates abiotic stress in many species, but little is known in Medicago. In the current study, a search for CBL and CIPK genes brought about the identification of 10 MsCBL, 13 MtCBL, 26 MsCBL, and 32 MtCBL genes in M. sativa and M. truncatula, respectively.

Multiple sequence alignments showed that most of the Medicago CBL proteins contained four EF hand motifs, which are necessary for CBL proteins to bind Ca²⁺, and the linker between each EF hand motif is absolutely conserved among CBL proteins [27]. Among them, MsCBL8 had no EF hand 2 and 3 motifs, and the phylogenetic analysis of MsCBL8 did indicate that it has high homology with AtCBL1 and AtCBL9 protein (Figure S1), suggesting that it might have specific functions and needs further study. Most CIPK proteins have been demonstrated to contain two domains: An N-terminal kinase catalytic domain (NAF motif) and a C-terminal regulatory domain (PPI motif) (Figure S2). However, MsCIPK10, 11, 12, 13, 14 do not have NAF motif or PPI motif, and the phylogenetic analysis of them clustered together. Therefore, they may perform special functions because they contain the ATP binding site domain and activation loop domain, belonging to the CIPK family. Phylogenetic analysis showed that CBLs and CIPKs had an independent Medicago cluster without Arabidopsis members (cluster V for CBL, cluster B for CIPK). Other clustering patterns were highly consistent with Arabidopsis [2]. Therefore, these members play important roles in the evolution of CBLs and CIPKs families, respectively.

Conserved motif identification shows that most CIPKs identified have a NAF domain in the C-terminal region (Figure 2b). It can be seen that they are close phylogenetically, and the types and positions of their motifs are more similar. Some motifs only exist in part of the CBL or CIPK amino acid sequence. For example, motif 5 belongs to the EF hands domain of CBL protein that only appears in one group I (Figure 2a), and these findings suggested that these motifs may be related to the functional diversity of CBL proteins. Gene structures like intron/exon organizations often reflect the evolution within some gene families [28,29,30]. Gene structure analysis showed that CBLs have more introns, among them, MsCBL3 have 10 introns, while MsCBL8, 9, 10 have 4 introns (Figure 2a). The phylogenetic relationship analysis showed that they belong to different groups, and the functions of them might be different, as shown in Figure 2b. Interestingly, CIPKs can be divided into two types: Poor introns (A–E) and rich introns (F,G). Similar patterns of intron-rich/poor CIPK family members have also been observed in model plants, Arabidopsis, rice, poplar, and soybean [12,31,32]. Significantly, there are abundant introns in CIPK proteins of green algae [33], moss, and ferns, and the intron deletion of CIPK first occurs in seed plants, which may be due to the species evolution caused by intron deletion in intron-rich members [2].

Duplication and divergence play an important role in expansion and evolution of gene families [34,35]. We found one (3.8%) segmental duplication and tandem duplication among 26 MsCIPKs, and one (10%) segmental duplication in ten MtCBLs, three (30%) tandem duplication in ten MtCBLs and four (12.5%) tandem duplication among thirty-two MtCIPKs (Figure 3). It shows that gene duplication is the main evolutionary force for the expansion of CBL and CIPK gene families in Medicago. Based on gene expression, combined with phylogenetic analysis and collinearity analysis, it is valuable to understand the functions of CBL and CIPK genes in special physiological processes. For example, MtCIPK31 has the highest expression level in seeds and flowers, but is relatively low in other tissues, which is consistent with its tandem duplication MtCIPK30 (Figure 5g), it is worth noting that there is a collinearity between MsCIPK21 and MtCIPK30. Interesting, their closest ortholog gene was AtCIPK9 in Arabidopsis, which is expressed predominantly in root, where it regulates K⁺-homeostasis under low-K⁺ stress in Arabidopsis [36,37]. This result indicated that MtCIPK30 and MtCIPK31 may share similar function in regulate K⁺-homeostasis under abiotic stress in Medicago. Another orthologous pair MsCIPK22 and MsCIPK23 were homologies of OsCIPK9 that were induced by multiple stresses, including cold, drought, PEG, and ABA treatments [38], suggesting the potential function of MsCIPK22 and MsCIPK23 in participating abiotic stress.

High-salinity or drought soil is the most serious abiotic stress [39]. It is urgent to improve the salinity and drought tolerance of alfalfa to increase yield. The transcript data from genechip under NaCl and drought treatments suggested that the expressions of several CBL and CIPK genes were highly induced or drastically changed (Figure 5). Simultaneously, the expression pattern of all ten genes were verified to be up-regulated under several treatments in M. truncatula by qPCR analyses (Figure 6) and suggested that these ten genes are involved in plant abiotic stress and hormone induction. Correspondingly, three gene pairs (MtCIPK2-MsCIPK3, MtCIPK17-MsCIPK11, and MtCIPK18-MsCIPK12) were significantly up-regulated under PEG, NaCl, and ABA treatments, and their expression patterns were the same in M. sativa and M. truncatula. By identifying the cis-acting elements bound by specific transcription factors, it is possible to reveal the transcriptional regulatory mechanism and gene expression patterns of the plant environmental adaptation. Unsurprisingly, all these gene pairs contain at least two of abscisic acid-responsive (ABRE), defense and stress responsiveness (TC-rich repeats, W-box), and MYB binding site involved in drought inducible (MBS) (except for the MtCIPK18 gene). Notably, MsCIPK3 gene contains more defense and stress responsiveness elements. Consequently, these genes may play key roles in enhancing the stress resistance of M. sativa and M. truncatula.

Previous studies have confirmed that CBL, CIPK, or CBL-CIPK complex function in regulating the complex process of plant growth and responding to environmental stress [18,40]. AtCIPK7 regulates cold stress responses via its interaction with AtCBL1 [41]. However, the homologous genes MtCIPK2 and MsCIPK3 exhibited high expression under several stresses, indicating that these two genes are involved in other pathways except cold stress. AtCIPK25 participates in the development of root meristem through auxin and cytokinin signaling [42]. The closely related genes of MtCIPK18 and MsCIPK12 may also play a similar role in resisting environmental adversity. AtCBL1 was reported to interact with AtCIPK1, involved in ABA-dependent stress responses [43]. Moreover, AtCBL1/9 can interact with AtCIPK23 to regulate both K⁺ and NO³⁻ uptake in plants [44]. The ortholog gene MtCBL7 (AtCBL9) was up-regulated by PEG, NaCl, and ABA stress in M. truncatula (Figure 6). Interesting, AtCBL9–AtCIPK1 complex are also involved in ABA independent stress responses [43]. OsCIPK1 from rice was speculated to connect ABA and cold signaling pathway [40]. The orthologous gene MtCIPK21 (AtCIPK1) was up-regulated by almost all kinds of stresses in M. truncatula, and ABA-responsive element ABRE was found in the promoter region of MtCIPK21 (Figure 4). These results suggested the potential roles of CBL and CIPK genes in M. sativa and M. truncatula under abiotic stresses-resistance and hormone-resistance. Meanwhile, these homologous genes of M. sativa and M. truncatula did not all exhibit the same expression pattern under different stress treatments. It is possible that these genes have changed to varying degrees during the species evolution.

4. Materials and Methods

4.1. Identification of CBL-CIPK Genes in the Medicago Genome

The genome sequences and deduced protein sequences of CBLs and CIPKs were downloaded from the M. sativa and M. truncatula genome website (http://www.medicagogenome.org/, accessed on 15 November 2020) [45]. The first step in determining the CBL (EF-hand calcium-binding domain (PS50222)) and CIPK (NAF domain (PF03822)) family is to download Hidden Markov Model (HMM) profiles from Pfam protein family database (https://pfam.xfam.org/, accessed on 16 November 2020). Secondly, the CBL and CIPK gene sequences from Arabidopsis were downloaded from TAIR (https://www.arabidopsis.org/, accessed on 16 November 2020). The CBLs and CIPKs sequences from Arabidopsis were used as a query (p < e⁻⁵) to search the protein sequence of M. sativa and M. truncatula. The identified sequences were further verified, and redundant sequences were removed from the list. Further, output putative CBL and CIPK protein sequences were submitted to InterProScan (https://www.ebi.ac.uk/interpro/search/sequence-search, accessed on 20 November 2020), CDD (https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi, accessed on 20 November 2020), Pfam (https://pfam.xfam.org/, accessed on 22 November 2020), and SMART (http://smart.embl-heidelberg.de/, accessed on 22 November 2020) to confirm the conserved CBL and CIPK domain. Finally, all CBL and CIPK candidate genes were obtained and assigned based on their locations on chromosome, including 10 MsCBL genes, 13 MtCBL genes, 26 MsCIPK genes, and 32 MtCIPK genes. Correspondingly, ExPASy (https://web.expasy.org/compute_pi/, accessed on 24 November 2020) was used to determine the isoelectric point (pI) and molecular weight (MW) of CBL and CIPK proteins. Finally, subcellular localization of CBL and CIPK genes were predicted by using the Softberry Home Page (http://linux1.softberry.com/berry.phtm, accessed on 24 November 2020).

4.2. Sequence Analyses and Structural Characterization of Medicago CBL and CIPK Genes

Sequence alignment analysis of CBL and CIPK domain sequences were carried out by using jalview v2.10.5 (Solvusoft Corporation, Las Vegas, NV, USA). Conserved motifs in CBL and CIPK protein sequences were identified by the MEME program (MEME-Suite version 5.1.0, http://meme-suite.org/, accessed on 2 December 2020) with default settings, except the motif number of CBL was set as 10 and 20 for CIPK, and the width of minimum and maximum motif were set as 10 and 200, respectively. The visualization of exon–intron positions and conserved motifs was executed through Amazing Optional Gene Viewer software (TBtools v1.068, South China Agricultural University, Guangzhou, Guangdong, China) [46].

4.3. Phylogenetic Analysis and Classification of the CBL and CIPK Genes

The phylogenetic relationship of CBL-CIPK proteins among M. sativa, M. truncatula, and Arabidopsis were analyzed with identified CBL-CIPK amino acid sequences from M. sativa, M. truncatula, and Arabidopsis. The phylogenetic trees were constructed by using MEGA-X (Mega Limited, Auckland, New Zealand) [47] using the Neighbor-Joining (NJ) method with default parameters with bootstrap value of 1000. Finally, EvolView (https://evolgenius.info/evolview-v2/, accessed on 5 December 2020) was used to modify the evolutionary tree.

4.4. Analysis of Collinearity and Chromosome Location

The chromosomal localization of all CBLs and CIPKs of M. sativa and M. truncatula were obtained from the corresponding website. Multiple collinear Scan toolkit (TBtools v1.068 (mcscanx), South China Agricultural University, Guangzhou, Guangdong, China) was used to analyze the gene duplication events with default parameters [48]. All the CBL and CIPK genes were similarly mapped to eight M. sativa and M. truncatula chromosomes, respectively, followed by the analysis on their intraspecific synteny relationship in M. sativa and M. truncatula using Amazing Gene Location software (TBtools), respectively [46]. In order to exhibit the interspecific synteny relationship among M. sativa, M. truncatula, and the representative model plant species (Arabidopsis), the syntenic maps were constructed using the Dual Systeny Plotter software (TBtools) [46]. The simple Ka/Ks calculator software is used to calculate non synchronous (Ka) and synchronous (Ks) values of CBL and CIPK gene pairs (TBtools) [46].

4.5. Analyses of the Cis-Acting Elements and Location of CBL and CIPK Genes in Medicago

The cis-acting elements in the 2000 bp upstream sequences of the coding region of CBL and CIPK genes were analyzed using PlantCARE (http://bioinformatics.psb.ugent.be/webtools/plantcare/html/, accessed on 10 December 2020) [49]. TBtools was used to visualize the cis-acting elements CBL and CIPK genes of Medicago.

4.6. Analysis of the Expression Levels of CBL and CIPK Genes from Genechip Data

For the analysis of the expression level of CBL and CIPK genes from microarray data, we download all the genechip data from M. truncatula Gene Expression Atlas (https://Mtgea.noble.org/v3/, accessed on 12 December 2020)), which has been developed as a compendium or “atlas” of gene expression profiles for the M. truncatula genes. The selected genechip data covered the roots and shoots, from plants subjected to drought stress, salt stress, and ABA stresses, and specific cell and tissue types. Amazing HeatMap software was used to generate the heatmap (TBtools) [46].

4.7. Plant Materials and Treatments

The M. sativa (Zhongmu No.1, Institute of Animal Science of CAAS, Beijing, China) and M. truncatula (cv. Jemalong A17, Institute of Animal Science of CAAS, Beijing, China) plants used in this study was stored at the Institute of Animal Science of CAAS. The roots, stems, leaves, flowers, pods (20-day old pods), and seeds (20-day old seeds) of mature M. sativa and M. truncatula plants, were collected separately for RNA extraction and used for qPCR analysis. Meanwhile, the expression patterns of CBL and CIPK genes were also investigated under different stress and hormone treatments (PEG, NaCl and ABA). The material and method used for different treatments were the same for M. sativa as for M. truncatula as previously reported by Yang et al. [50].

4.8. Analysis of the Gene Expression by qRT-PCR

Total RNA extraction, first strand cDNA synthesis, and qPCR procedures and methods were the same as previously reported by Yang et al. [50]. Each reaction was performed in biological triplicates and the data from qPCR was analyzed using 2^−ΔΔCT method. The results were analyzed by means ± standard deviation (SD). The primer sequences used in this study were shown in details in Table S1.

5. Conclusions

The CBL-CIPK network is well-recognized as one of the resistance mechanisms. This study analyzed the CBL and CIPK genes on a genome-wide scale in M. sativa and M. truncatula. A total of 10 MsCBLs, 13 MtCBLs, 26 MsCIPKs, and 32 MtCIPKs were identified, respectively, in M. sativa and M. truncatula. These genes show high similarity in amino acid sequence, motif compositions, and conservative gene structure. In addition, phylogenetic analysis and collinearity analysis on CBL and CIPK in different species revealed their evolutionary patterns and predicted their functions in complex environments. Moreover, the expression profile of CBL and CIPK genes in different tissues and treatments of Medicago were analyzed and were verified by qPCR. It was found that most of the genes were highly expressed, especially MtCIPK2-MsCIPK3, MtCIPK17-MsCIPK11, and MTCIPK18-MsCIPK12. These gene pairs showed the same expression pattern in M. sativa and M. truncatula, and they may play an important role in response of plant stresses. This study compares the CBL-CIPK family of M. sativa and M. truncatula to provide new ideas for understanding the evolutionary relationship between the same genus and related crops, which also provides a comprehensive information basis for better characterizing the role of the CBL-CIPK family in plant stress resistance.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/ijms22094634/s1, Figure S1: Alignment of multiple CBL amino acid sequences from M. sativa and M. truncatula. The sequence conservation is shown as a percentage bar-score below. The sequence logo is shown at the bottom, summarizing the occurrence of given amino acids at specific positions. Four well-conserved EF-hand motif and the PFPF motif were boxed. Figure S2: Alignment of multiple CIPK amino acid sequences from M. sativa and M. truncatula. The sequence conservation is shown as a percentage bar-score below. The sequence logo is shown at the bottom, summarizing the occurrence of given amino acids at specific positions. The ATP binding site, the activation loop, the NAF motif and PPI motifs for CIPK proteins were boxed. Table S1: List of primers and their sequences used in this study. Supplementary File S1. All tandem and segmental duplicated CBL and CIPK gene pairs in Medicago, and the orthologous gene pairs between Medicago and Arabidopsis; Supplementary File S2. List of all identified cis-acting elements in all CBL and CIPK genes found in Medicago; Supplementary File S3. Detailed information on the expression levels of CBL and CIPK gene genes retrieved from microarray data for M. truncatula, including eight different tissues and treatments in response to drought and NaCl treatments.

Author Contributions

Experiments were performed by W.D., J.Y., L.M. and Q.S., W.D. and J.Y. analyzed the data. W.D. drafted the manuscript. Y.P. supervised the experiments and finalized the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This project was supported by the National Nature Science Foundation of China (U1906201 and 31802118), and Fundamental Research Funds for Central Non-profit Scientific Institution (2020-YWF-ZX-07). The funding body played no role in the design of the study, analysis, and interpretation of data, and in writing the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data in the present study are available in the public database as referred in the Material and Method part.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

CBL: calcineurin B-like protein; CIPK: CBL-interacting protein kinase; MW: Molecular weight; PI: Isoelectric point; qPCR: Quantitative polymerase chain reaction; aa: Amino acid; ABA: Abscisic acid; PEG: Polyethylene glycol.

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Figures and Tables

Figure 1. The phylogenetic analysis of CBL (a) and CIPK (b) proteins families across Medicago and Arabidopsis. Full length protein sequences of CBLs and CIPKs were constructed using MEGA-X based on the Neighbor-Joining (NJ) method; bootstrap was 1000 replicates. Subfamilies are highlighted with different colors. The green solid pentagrams, orange solid pentagrams, and hollow circles represent CBL and CIPK proteins from M. sativa (Ms), M. truncatula (Mt), and A. thaliana (At), respectively.

Figure 2. Analyses on phylogenetic relationships, motifs, and gene structure of CBL and CIPK genes from M. sativa and M. truncatula. The groups and its color of the phylogenetic tree are consistent with those in Figure 1. The motifs were indicated in different colored boxes with different numbers and the sequence information for each motif is provided in Figures S1 and S2. Exon–intron structure and conserved domain of CBL and CIPK genes. Blue boxes indicate 5′- and 3′- untranslated regions; orange boxes indicate exons; black lines indicate introns. (a,b) Phylogenetic relationships, motifs, and gene structure of CBL genes (a) and CIPK genes (b).

Figure 3. Chromosome distributions of CBLs and CIPKs in M. truncatula and M. sativa. The chromosomal location and interchromosomal relationships of CBL and CIPK genes. The tandem duplicated genes are marked by blue arc trajectory and segmentally duplicated genes are connected by red curves. The chromosomal location and interchromosomal relationships of M. truncatula (a) and M. sativa (b). (c) Synteny analysis of CBL and CIPK genes between M. sativa, M. truncatula and representative plant species (Arabidopsis). Gray lines in the background indicate the collinear blocks within M. truncatula, and M. sativa/Arabidopsis, and the blue lines highlight the syntenic CBL and CIPK gene pairs.

Figure 4. Putative cis-elements and transcription factor binding sites in the promoter regions of CBL and CIPK genes from M. sativa and M. truncatula. (a) The groups and color are indicated as in Figure 1. (b) The colors and numbers of the grid indicated the numbers of different cis-acting elements in these CBL and CIPK genes. (c) The colored block represented different types of cis-acting elements and their locations in each CBL and CIPK gene.

Figure 5. MtCBL and MtCIPK gene expression profiles under different treatments, different times, and different tissues retrieved from microarray data. Each column represents one treatment, each row represents one gene, and each member is normalized in the same column. The relative expression levels are log2-transformed and visualized for heatmap. The color of circles from blue to red shows the expression level from negative to positive values after normalization. The red box indicates genes with increased expression. (a) Gene expression of root under different drought treatment time. (b) Gene expression of shoot under different drought treatment time. (c) Gene expression of root under different NaCl-culture time. (d) Gene expression of root under different NaCl-hydroponics time. (e) Venn diagram of gene expression levels after four different treatments. (f) Gene expression levels of common differentially expressed genes after different treatments in the Figure 5e. (g) Expression profiles of genes in 7 different tissues retrieved from microarray data.

Figure 6. Quantification of gene expression levels of selected CBL and CIPK genes from M. sativa and M. truncatula under PEG, NaCl, and ABA stress using qPCR. Data are average of three independent biological samples ±SE and vertical bars indicate standard deviation. The value 1–5 of X axis for M. sativa represent treatment period of 0, 4, 6, 8, and 24 h, respectively. The value 1–5 of X-axis for M. truncatula represent treatment period of 0, 2, 24, 48, 72 h, respectively.

Table 1

Properties of the predicted CBL proteins in M. sativa and M. truncatula.

Gene Name	TIGR Locus	Homologous Gene	Chromosome Location	pI	MW	Protein Length	Subcellular Localization
MsCBL1	MsG0280007543.01.T01	MtCBL5	Chr2: 16946249–16952230	6.2	38,240.38	336	Extracellular
MsCBL2	MsG0380014586.01.T01	MtCBL6	Chr3: 56818145–56821980	4.9	19,486.31	173	Plasma membrane
MsCBL3	MsG0380016524.01.T01	MtCBL7	Chr3: 84678194–84682482	4.9	38,012.36	334	Plasma membrane
MsCBL4	MsG0480023701.01.T01	MtCBL9	Chr4: 88741570–88745444	4.55	24,633.18	217	Plasma membrane
MsCBL5	MsG0580024593.01.T01	MtCBL7	Chr5: 6687437–6692205	4.77	30,599.99	265	Plasma membrane
MsCBL6	MsG0580030002.01.T01	MtCBL10	Chr5: 104956837–104960723	5.02	29,541.79	256	Plasma membrane
MsCBL7	MsG0880043002.01.T01	MtCBL12	Chr8: 17451660–17454557	4.82	27,195.04	238	Plasma membrane
MsCBL8	MsG0880046091.01.T01	MtCBL7	Chr8: 68926482–68929407	4.99	20,024.43	173	Plasma membrane
MsCBL9	MsG0880046710.01.T01	MtCBL8	Chr8: 77208147–77210234	4.79	26,744.53	253	Extracellular
MsCBL10	MsG0880047760.01.T01	MtCBL9	Chr8: 90474978–90479379	5.64	31,753.31	273	Plasma membrane
MtCBL1	MtrunA17_Chr1g0151621	MsCBL3	Chr1: 4424275–4430607	4.68	28,348.38	249	Plasma membrane
MtCBL2	MtrunA17_Chr2g0290751	MsCBL6	Chr2: 10098104–10100632	4.8	24,076.53	211	Plasma membrane
MtCBL3	MtrunA17_Chr2g0290761	MsCBL6	Chr2: 10120014–10122541	5.02	24,212.82	211	Plasma membrane
MtCBL4	MtrunA17_Chr2g0290771	MsCBL6	Chr2: 10131045–10133055	4.44	21,889.77	191	Plasma membrane
MtCBL5	MtrunA17_Chr2g0290781	MsCBL6	Chr2: 10140913–10143707	4.76	27,082.64	238	Plasma membrane
MtCBL6	MtrunA17_Chr3g0102821	MsCBL6	Chr3: 27325210–27329496	4.7	25,954.5	226	Plasma membrane
MtCBL7	MtrunA17_Chr4g0055421	MsCBL5	Chr4: 49038532–49043130	4.74	24,483.05	213	Plasma membrane
MtCBL8	MtrunA17_Chr4g0063121	MsCBL9	Chr4: 54777738–54779483	4.54	23,911.69	214	Plasma membrane
MtCBL9	MtrunA17_Chr4g0076551	MsCBL6	Chr4: 64369731–64374408	4.75	25,972.49	227	Plasma membrane
MtCBL10	MtrunA17_Chr5g0446931	MsCBL6	Chr5: 43351610–43355760	4.71	26,064.69	226	Plasma membrane
MtCBL11	MtrunA17_Chr8g0341941	MsCBL3	Chr8: 5383017–5389089	4.78	29,496.87	257	Plasma membrane
MtCBL12	MtrunA17_Chr8g0346911	MsCBL7	Chr8: 9926428–9929518	4.99	27,094.98	236	Plasma membrane
MtCBL13	MtrunA17_Chr8g0388331	MsCBL3	Chr8: 46203348–46207118	4.97	24,028.73	210	Plasma membrane

Table 2

Properties of the predicted CIPK proteins in M. sativa and M. truncatula.

Gene Name	TIGR Locus	Homologous Gene	Chromosome Location	pI	MW	Protein Length	Subcellular Localization
MsCIPK1	MsG0180000513.01.T01	MtCIPK1	Chr1: 7219758–7220941	8.93	42,516.31	376	Plasma membrane
MsCIPK2	MsG0180000521.01.T01	MtCIPK1	Chr1: 7356600–7357829	8.99	46,413.89	410	Plasma membrane
MsCIPK3	MsG0180001670.01.T01	MtCIPK2	Chr1: 24938893–24940191	8.85	48,636.26	433	Plasma membrane
MsCIPK4	MsG0180004166.01.T01	MtCIPK3	Chr1: 74311950–74313263	8.86	48,883.24	438	Plasma membrane
MsCIPK5	MsG0180005611.01.T01	MtCIPK4	Chr1: 93961932–93963092	8.09	44,450.35	387	Extracellular
MsCIPK6	MsG0280006904.01.T01	MtCIPK5	Chr2: 7792269–7793606	8.87	51,100.97	446	Plasma membrane
MsCIPK7	MsG0280006906.01.T01	MtCIPK6	Chr2: 7819514–7821070	6.56	57,894.45	519	Plasma membrane
MsCIPK8	MsG0280011471.01.T01	MtCIPK9	Chr2: 84572890–84574260	9.15	51,553.44	457	Plasma membrane
MsCIPK9	MsG0380014945.01.T01	MtCIPK15	Chr3: 62899825–62901207	8.58	52,512.51	461	Plasma membrane
MsCIPK10	MsG0380014950.01.T01	MtCIPK16	Chr3: 62944869–62946200	8.45	50,073.61	444	Plasma membrane
MsCIPK11	MsG0380015546.01.T01	MtCIPK17	Chr3: 71653648–71654991	8.94	51,591.75	448	Plasma membrane
MsCIPK12	MsG0480018187.01.T01	MtCIPK18	Chr4: 1337477–1338790	8.58	50,031.2	438	Plasma membrane
MsCIPK13	MsG0480019352.01.T01	MtCIPK19	Chr4: 18884311–18885931	8.55	56,612.39	504	Plasma membrane
MsCIPK14	MsG0580027748.01.T01	MtCIPK19	Chr5: 67945209–67946826	8.36	56,525.14	503	Plasma membrane
MsCIPK15	MsG0580028307.01.T01	MtCIPK24	Chr5: 78145226–78153759	6.37	51,712.85	453	Plasma membrane
MsCIPK16	MsG0580028588.01.T01	MtCIPK25	Chr5: 82921999–82923423	9.05	53,886.01	475	Plasma membrane
MsCIPK17	MsG0580028590.01.T01	MtCIPK26	Chr5: 82973828–82975942	7.14	49,482.95	443	Plasma membrane
MsCIPK18	MsG0580029551.01.T01	MtCIPK27	Chr5: 98438716–98444881	6.45	53,945	475	Plasma membrane
MsCIPK19	MsG0780039388.01.T01	MtCIPK28	Chr7: 63273062–63274447	8.02	52,396.38	462	Plasma membrane
MsCIPK20	MsG0780039391.01.T01	MtCIPK29	Chr7: 63319880–63321148	8.95	47,583.98	423	Plasma membrane
MsCIPK21	MsG0880042910.01.T01	MtCIPK30	Chr8: 15785566–15788993	9.03	52,865.88	464	Plasma membrane
MsCIPK22	MsG0880042931.01.T01	MtCIPK30	Chr8: 16193214–16197233	8.99	50,776.14	448	Plasma membrane
MsCIPK23	MsG0880042932.01.T01	MtCIPK31	Chr8: 16202211–16203469	4.65	23,360.42	207	Plasma membrane
MsCIPK24	MsG0880046785.01.T01	MtCIPK20	Chr8: 78103239–78112793	9.29	46,753.34	410	Plasma membrane
MsCIPK25	MsG0880047252.01.T01	MtCIPK21	Chr8: 83803682–83805677	9.18	33,282.91	296	Plasma membrane
MsCIPK26	MsG0880047603.01.T01	MtCIPK23	Chr8: 88629631–88630695	8.59	40,180.45	355	Plasma membrane
MtCIPK1	MtrunA17_Chr1g0150321	MsCIPK2	Chr1: 3363660–3365695	6.51	57,997.54	518	Plasma membrane
MtCIPK2	MtrunA17_Chr1g0166101	MsCIPK3	Chr1: 15531311–15533332	8.71	48,428.7	435	Plasma membrane
MtCIPK3	MtrunA17_Chr1g0188031	MsCIPK4	Chr1: 37868206–37870202	7.6	49,372.84	440	Plasma membrane
MtCIPK4	MtrunA17_Chr1g0205421	MsCIPK5	Chr1: 50641418–50642779	9.44	28,820.94	243	Plasma membrane
MtCIPK5	MtrunA17_Chr2g0284011	MsCIPK6	Chr2: 4993431–4995206	8.77	50,920.75	445	Plasma membrane
MtCIPK6	MtrunA17_Chr2g0284031	MsCIPK7	Chr2: 5004740–5007006	8.92	53,811.89	474	Plasma membrane
MtCIPK7	MtrunA17_Chr2g0302431	MsCIPK22	Chr2: 19969671–19976812	7.56	36,077.73	320	Plasma membrane
MtCIPK8	MtrunA17_Chr2g0304111	MsCIPK18	Chr2: 21918963–21927365	8.71	44,042.03	391	Plasma membrane
MtCIPK9	MtrunA17_Chr2g0333821	MsCIPK8	Chr2: 51523898–51527942	7.99	52,575.69	462	Plasma membrane
MtCIPK10	MtrunA17_Chr3g0091281	MsCIPK11	Chr3: 12548682–12549395	8.9	48,125.84	423	Plasma membrane
MtCIPK11	MtrunA17_Chr3g0091291	MsCIPK11	Chr3: 12550018–12550736	8.44	57,285.85	510	Plasma membrane
MtCIPK12	MtrunA17_Chr3g0091311	MsCIPK11	Chr3: 12582134–12582970	8.95	47,560	422	Plasma membrane
MtCIPK13	MtrunA17_Chr3g0091411	MsCIPK11	Chr3: 12692385–12693326	9.27	30,232.13	257	Plasma membrane
MtCIPK14	MtrunA17_Chr3g0091421	MsCIPK11	Chr3: 12693793–12694524	8.93	52,506.01	457	Plasma membrane
MtCIPK15	MtrunA17_Chr3g0107011	MsCIPK9	Chr3: 30606080–30609128	9.05	52,009.48	447	Plasma membrane
MtCIPK16	MtrunA17_Chr3g0107051	MsCIPK10	Chr3: 30640386–30641717	9.22	47,462.77	420	Plasma membrane
MtCIPK17	MtrunA17_Chr3g0114511	MsCIPK11	Chr3: 35974723–35976525	8.67	50,488.22	446	Plasma membrane
MtCIPK18	MtrunA17_Chr4g0001331	MsCIPK12	Chr4: 900468–902885	9.27	28,716.18	243	Plasma membrane
MtCIPK19	MtrunA17_Chr4g0013131	MsCIPK14	Chr4: 10571450–10575122	9.1	49,421.81	435	Plasma membrane
MtCIPK20	MtrunA17_Chr4g0063881	MsCIPK24	Chr4: 55303349–55314602	8.53	49,753.07	436	Plasma membrane
MtCIPK21	MtrunA17_Chr4g0069301	MsCIPK18	Chr4: 59217861–59224659	8.85	51,572.49	460	Plasma membrane
MtCIPK22	MtrunA17_Chr4g0072831	MsCIPK24	Chr4: 61783649–61786108	9.05	27,643.06	237	Cytoplasmic
MtCIPK23	MtrunA17_Chr4g0074111	MsCIPK26	Chr4: 62835031–62837115	9.34	25,004.1	214	Plasma membrane
MtCIPK24	MtrunA17_Chr5g0428031	MsCIPK15	Chr5: 29699497–29710190	9.26	50,104.11	444	Plasma membrane
MtCIPK25	MtrunA17_Chr5g0432471	MsCIPK16	Chr5: 33183949–33187482	8.97	50,856.92	446	Plasma membrane
MtCIPK26	MtrunA17_Chr5g0432491	MsCIPK17	Chr5: 33195433–33198761	6.82	50,243.62	441	Plasma membrane
MtCIPK27	MtrunA17_Chr5g0441011	MsCIPK18	Chr5: 39527588–39534318	6.72	50,665.32	446	Plasma membrane
MtCIPK28	MtrunA17_Chr7g0244521	MsCIPK19	Chr7: 33731410–33735051	8.92	52,017.29	453	Plasma membrane
MtCIPK29	MtrunA17_Chr7g0244561	MsCIPK20	Chr7: 33768481–33770580	5.69	52,186.74	465	Plasma membrane
MtCIPK30	MtrunA17_Chr8g0346071	MsCIPK21	Chr8: 9057047–9061702	8.58	53,028.89	465	Plasma membrane
MtCIPK31	MtrunA17_Chr8g0346081	MsCIPK21	Chr8: 9065393–9070388	9.22	50,033.79	443	Plasma membrane
MtCIPK32	MtrunA17_Chr8g0379091	MsCIPK7	Chr8: 39906567–39908530	8.93	52,494.6	465	Plasma membrane