Skip to main content

Evolution of the CBL and CIPK gene families in Medicago: genome-wide characterization, pervasive duplication, and expression pattern under salt and drought stress

Abstract

Background

Calcineurin B-like proteins (CBLs) are ubiquitous Ca2+ sensors that mediate plant responses to various stress and developmental processes by interacting with CBL-interacting protein kinases (CIPKs). CBLs and CIPKs play essential roles in acclimatization of crop plants. However, evolution of these two gene families in the genus Medicago is poorly understood.

Results

A total of 68 CBL and 135 CIPK genes have been identified in five genomes from Medicago. Among these genomes, the gene number of CBLs and CIPKs shows no significant difference at the haploid genome level. Phylogenetic and comprehensive characteristic analyses reveal that CBLs and CIPKs are classified into four clades respectively, which is validated by distribution of conserved motifs. The synteny analysis indicates that the whole genome duplication events (WGDs) have contributed to the expansion of both families. Expression analysis demonstrates that two MsCBLs and three MsCIPKs are specifically expressed in roots, mature leaves, developing flowers and nitrogen fixing nodules of Medicago sativa spp. sativa, the widely grown tetraploid species. In particular, the expression of these five genes was highly up-regulated in roots when exposed to salt and drought stress, indicating crucial roles in stress responses.

Conclusions

Our study leads to a comprehensive understanding of evolution of CBL and CIPK gene families in Medicago, but also provides a rich resource to further address the functions of CBL-CIPK complexes in cultivated species and their closely related wild relatives.

Peer Review reports

Background

The calcium ion (Ca2+) is acknowledged as a ubiquitous second messenger, which is perceived by sensor proteins mediating the signal transduction pathways. In plants, calcineurin B-like (CBL) proteins are one of the major Ca2+ sensors, which are recognized and bound specifically by CBL-interacting protein kinases (CIPKs), forming the CBL-CIPK complex to decode and transduce Ca2+ signals [1, 2]. CBL-CIPK signaling pathways play critical roles in perception and response to unfavourable environmental stimuli, such as salt and drought [3, 4]. In addition, the CBL-CIPK complex is also involved in plant growth and development, including seedling growth, flower development, pollen germination and pollen tube growth, and root development [1,2,3,4,5,6]. Throughtout plant life cyle, CBLs and CIPKs perform key function to maintain the balance between plant optimal growth and yield production under stress conditions [3, 7]. Therefore, it is important to understand the functions of CBLs and CIPKs for genetic improvement of crop plants with enhanced fitness and production.

CBL proteins harbor four conserved α-helix-loop-α-helix structures, designated as EF-hand motifs, which are responsible for Ca2+ binding [8,9,10]. CBL proteins are divided into three types based on the amino acid sequences occurred at the N-terminus. These sequences guide CBL proteins to distinct subcellular compartments, thus further determining their function. Type I CBL proteins are detected at the plasma membrane with a dual lipid modification motif (MGCXXS/T) [8, 11]. Type II CBL proteins are characterized by a conserved sequence (MSQCXDGXKHXCXSXXXCF), which is tonoplast targeting sequence (TTS) [11, 12]. Type III CBL proteins contain a transmembrane helical region (TM helix), and their localizations can be at tonoplast or plasma membrane [8, 11]. Additionally, a highly conserved PFPF/FPSF motif at the C-terminus of CBL proteins possesses a serine residue that is responsible for the phosphorylation of CBL proteins by CIPKs [13, 14].

CIPK proteins bind to CBLs through their NAF/FISL motif in the regulatory domain at C-terminus [15, 16]. This motif is highlighted with 6 conserved amino acid residues, including Asn (N), Ala (A), Phe (F), Ile (I), Ser (S) and Leu (L), which are essential for the interaction of CIPK proteins with CBLs [11, 15, 16]. Next to NAF/FISL motif, a protein phosphatase interaction motif (PPI) is commonly found, but it is not well conserved among CIPK proteins [17, 18]. It has been suggested that PPI mediates the interaction of CIPKs with abscisic acid insensitive (ABI) or protein phosphatase 2C (PP2C) proteins [7]. In addition, CIPK proteins also are characterized by a kinase/catalytic domain at the N-terminus [19]. This domain contains a phosphate-binding site that accounts for the CIPK phosphotransferase activity. In general, the kinase/catalytic domain remains blocked by the regulatory domain of CIPK proteins, and interaction with CBLs is required for its activation [17]. Therefore, CIPK proteins are recruited by CBLs in a calcium-dependent manner [20, 21].

As an important forage crop, M. sativa, is widely cultivated in the world. Cultivated M. sativa supplies as a major source of nitrogen for livestock animals, thus, is referred to as the queen of forages. However, the M. sativa forage is unable to supply the dramatic increase in demand for livestock production in current society. Exploitation of genetic variations underlying agronomic traits in wild relatives closed to the cultivated Medicago is a key to speed up M. sativa breeding. The culitivted M. sativa is a complex, including diploids (2n = 2 ×  = 16, e.g. M. sativa ssp. caerulea) [22] and tetraploids (2n = 4 ×  = 32, M. sativa spp. sativa) [23]. Wild species closely related to M. sativa are found in the genus of Medicago, such as M. truncatula (a legume model plant) [24], M. ruthenica [25, 26], and M. polymorpha [27]. As with M. sativa spp. caerulea, these three species are diploid plants [28]. Ploidy level variations represent the abundance of genetic diversity in Medicago, providing a extensive genetic pool for Medicago species to withstand environmental changes as well as for M. sativa breeding [28]. Recently, rapid increase of genome and transcriptome data from species in the genus Medicago facilitates researches to address the fundamental mechanisms, which in return will accelerate M. sativa breeding with molecular approaches [29, 30].

Identification of significant genetic variations underlying the key agronomical traits provides potential applications to develop M. sativa cultivars with enhanced resistance to drought, salt and other stress [3, 31], which can adapt to various environments and grow in a wide range. Since the first discovery of CBL and CIPK proteins as critical components in salt overly sensitive pathway (SOS) mediating salt stress response in Arabidopsis thaliana [32], these two families have been reported in many plant species by genome-wide studies, including 10 CBLs and 26 CIPKs from A. thaliana, 7 CBLs and 20 CIPKs from Triticum aestivum, and 9 CBLs and 35 CIPKs in Oryza sativa [10, 33, 34]. CBL-CIPK signaling pathways are essential for plants to survive in the rapid changes of external environments [7, 35]. The CBL-CIPK complexes serve as a key regulatory hub in transduction of Ca2+ signals to control the uptake of essential nutrient ions, such as K+, H+, Mg2+, Na+, Fe2+, NO3, NH4+, as well as to maintain the ion homeostasis under stress conditions by directly regulating the activities of ion channels and transporters at plasma membrane and tonoplast [36, 37]. In A. thaliana, AtCBL4/SOS3, AtCBL10, AtCIPK21, and AtCIPK24/SOS2 function under high-salt condition. AtCBL1, AtCBL9 and AtCIPK23 are reported to respond to drought stress [3, 38,39,40,41,42,43,44,45]. In rice, many CBLs and CIPKs are induced by drought treatment, and overexpression of OsCIPK3, OsCIPK12 or OSCIPK15 promotes drought and salt tolerance respectively [34, 46]. The maize plants with loss function of ZmCBL4, ZmCBL8 or ZmCBL24 are sensitive when subjected to salt treatment [47]. In apple (Malus domestica), overexpression of MdCIPK22 enhances drought tolerance by promoting the sugar accumulation in vacuoles [48]. As stated, CBL and CIPK family genes are promising candidates to be utilized for M. sativa breeding and improvement. Recent study identified CBL genes and CIPKs in M. truncatula and M. sativa [49], however, it is still poorly understood how these two gene families have evolved in the genus Medicago and its close relatives.

In the current study, we identified CBL and CIPK proteins from 5 Medicago species/subspecies and their close relatives, and gene structure and motif conservation were extensively examined. To better understand the evolutionary histories of CBL and CIPK families in the genus Medicago, phylogenetic relationship, gene duplication, and synteny were comprehensively investigated. In addition, expression of CBL and CIPK genes in response to salt and drought stress was analyzed in M. sativa spp. sativa. Our study sheds in-depth insights into evolution of CBL and CIPK families in the genus Medicago, and provide a rich genetic resource that could be further investigated and utilized to promote the resistance to salt and drought stress in M. sativa and its close relatives.

Results

Genome-wide identification of CBL and CIPK genes in Medicago

CBL and CIPK genes were reported in M. sativa and M. truncatula [49], however, due to requirement of consistent standard for identification of CBLs and CIPKs from selected species in our study, we re-identified them in these two species. In total, at haploid genome level (n = 1 ×  = 8), the model legume plant M. truncatula contains 13 CBLs and 29 CIPKs, 13 CBLs and 26 CIPKs were obtained from M. sativa ssp. caerulea, 17 CBLs and 28 CIPKs were detected in M. ruthenica, 12 CBLs and 26 CIPKs were identified from M. polymorpha, and 10 CBLs and 25 CIPKs were retrieved from Cicer arietinum (Fig. 1a). As expected, the cultivated autotetraploid M. sativa ssp. sativa (2n = 4 ×  = 32) possesses more gene members than diploid species in Medicago genus, and a total of 49 CBLs (Additional file 1: Table S1) and 107 CIPKs (Additional file 2: Table S2) were identified. However, at the haploid genome level in tetraploid M. sativa ssp. sativa, 13 CBLs and 26 CIPKs were obtained, with the same gene numbers in its diploid progenitor M. sativa ssp. caerulea, which is consistent with previous report [49]. Moreover, similar numbers of CBLs or CIPKs were observed in five Medicago species/subspecies at the haploid genome level. Collectively, we identified 68 CBLs and 135 CIPKs in five genomes from the genus Medicago at the level of haploid genome (Fig. 1a). All these genes were designated according to their homologs in A. thaliana, and the chromosomal locations and phylogenetic relationships were also taken into consideration (Figs. 1b, c and 2; Additional file 1: Table S1; Additional file 2: Table S2; Additional file 3: Fig. S1).

Fig. 1
figure 1

Phylogenetic relationships of the CBL and CIPK genes. a Numbers of gene members from CBL and CIPK families in studied genomes. Red box on branch of species tree represents the whole genome duplication event. PWGD: the ancestral Papilionoideae whole-genome duplication event. The gene number was calculated at the haploid genome level (one set of chromosomes) of each species. 2 × : diploid, 4 × : tetraploid. b The phylogeny of CBL gene family. c The phylogeny of CIPK family. Branches in different colors indicate different taxa groups

Fig. 2
figure 2

The chromosomal localization of the CBL and CIPK genes in Medicago and C. arietinum. The ribbons represent chromosomes from each genome. Note that several genes are not anchored to chromosomes due to the quality of genome assembly. C. arietinum is selected as outgroup. The chromosome number is denoted on the left of each chromosome. All chromosomes are demonstrated at the same scale in megabase

The physicochemical properties of CBLs and CIPKs identified in this study were examined, including number of amino acids, protein size, isoelectric point (pI), and molecula weight (MW). The length of CBL protein sequences ranges from 143 to 421 amino acids (AAs) with the 229 AAs as an average (Additional file 1: Table S1). The pI varies from 4.46 to 6.35, and their MW falls within the range of 16.54 kDa to 46.59 kDa (Additional file 1: Table S1). The CIPK proteins are 132–518 AAs in length with the 435 AAs as an average, and their pI ranges from 4.84 to 9.32, and the MW of CIPKs ranges from 15.13 kDa to 58.03 kDa (Additional file 2: Table S2). The variations in length, pI, and MW suggest that the function of CBLs and CIPKs are highly diversified, and may be involved in various processes associated with growth, development, and stress responses.

The identified genes are physically anchored on the chromosomes in five genomes. Overall, CBL and CIPK genes are unevenly distributed on chromosomes from each Medicago genome (Fig. 2). For instance, Msa08.1 contains the most number of CBLs and CIPKs in M. sativa spp. sativa, whereas no CBL or CIPK gene is found on Msa06.1 (Fig. 2). Similar patterns are also exhibited in diploid genomes, including M. sativa ssp. caerulea, M. truncatula, and M. ruthenica. It is noted that most CBL and CIPK genes preferentially sit in the chromosomal regions with high gene density.

Phylogenetic relationships of CBL and CIPK genes in Medicago

A dataset with 133 CBL protein sequences was collected to generate the phylogenetic tree, including 114 CBL proteins from Medicago and C. arietinum, and 19 CBL proteins previously reported in A. thaliana and Glycine max (Additional file 4: Table S3) [50]. The CBL proteins are assigned to four groups (Group A, B, C and D) as specified by their membrane targeting motifs (Fig. 1b). Based on the phylogeny of CBL family with strong support, it was found that the Group A is comprised of all Type II CBL proteins sharing the TTS motifs (Additional file 4: Fig. S1). The members from Group B are Type I CBL proteins harboring a dual lipid modification motif, including AtCBL4, AtCBL8 and AtCBL5, which are localized at the plasma membrane (Additional file 5: Fig. S2). Similarly, proteins in the Group D are also belonged to the Type I CBL, such as AtCBL1 and AtCBL9 (Additional file 5: Fig. S2). The Type III CBLs are characterized by a single transmembrane helix at the N-terminus, forming the well-supported Group C (Additional file 5: Fig. S2).

All 318 CIPK protein sequences were collected to perform phylogenetic analysis (Additional file 6: Table S4), and they are classified into four clades with high bootstrap values (Fig. 1c, Clade I, II, III and IV). The CIPKs from Clade I, II and III are intron-rich (Fig. 1c), among which, the Clade I is the most basal group including proteins homologous to AtCIPK24/SOS2, such as McCIPK08 and MrCIPK24. In addition, the Clade IV is well supported as a monophyletic branch comprising the intron-less CIPK genes in Medicago (Fig. 1c).

Gene structure and motif conservation of CBLs and CIPKs

Gene structure and motif conservation provide key information to understand the gene family evolution and functional diversification among its members. All CBL genes identified in Medicago possess a number of introns varying from 7 to 10 (Fig. 3a). Six conserved motifs were characterized by MEME-motif scanning program in CBL proteins (Fig. 3a, b). The sequence logos were displayed and referred to four EF-hand motifs and one FPSF motif respectively (Fig. 3b). The subcellular localization motifs were further divided into three types (Additional file 5: Fig. S2), which is in line with the evolutionary relationship of CBL genes (Fig. 1b).

Fig. 3
figure 3

The relatively conserved gene structures and motifs in CBL and CIPK gene families. a The gene structures and motifs of CBL genes. The circle outside shows gene structures, and the one inside exhibits 6 motifs characterized. The branches in four different colors indicate four groups of CBL genes respectively. b Seq logos of conserved motifs for CBL proteins. c The gene structures and motifs of CIPK genes. The circle outside shows 10 motifs identified, and the one inside represents gene structures. The branches in four different colors indicate four clades of CIPK genes respectively. d Seq logos of conserved motifs for CIPK proteins

The intron numbers of CIPK genes lays in the range of 0 to 14. Based on this observation, CIPK genes are divided into two groups, intron-rich group and intron-less group, respectively (Fig. 3c). The intron-rich CIPK genes all belong to the Clade I, II and III, whereas all intron-less CIPK genes are exclusively found in the Clade IV (Fig. 1c). There are ten motifs identified in CIPK proteins. Notably, the NAF motif at the C-terminus is highly conserved in all CIPKs, which can be considered as the feature motif for CIPK family (Fig. 3c, d). Taken together, these results show that the gene structure and motif of CBLs and CIPKs are well conserved in Medicago, indicating their evolutionary relationships and molecular functions.

Duplication, synteny, and expansion pattern of CBL and CIPK genes

To investigate how these two families expanded in Medicago, duplication pattern of CBLs and CIPKs was examined. Based on the synteny within each species and synonymous substitution (Ks) value of duplicate gene pairs, it was found that 23 pairs of CBLs and 28 pairs of CIPKs from five Medicago genomes and C. arietinum have been retained since the shared WGD event by all Papilionoideae species (x = 8) (Fig. 1a and Additional file 7: Table S5), which is known as PWGD event [51]. The detailed syntenic relationships of intra-species were further investigated (Fig. 4). After the PWGD, 2 pairs of CBLs and 2 pairs of CIPKs in M. sativa ssp. sativa, 5 pairs of CBLs and 5 pairs of CIPKs in M. sativa ssp. caerulea, 2 pairs of CBLs and 3 pairs of CIPKs in M. truncatula, 6 pairs of CBLs and 2 pairs of CIPKs in M. ruthenica, 6 pairs of CBLs and 9 pairs of CIPKs in M. polymorpha, and 2 pairs of CBLs and 7 pairs of CIPKs in C. arietinum have been preserved (Fig. 4).

Fig. 4
figure 4

The intraspecies syntenic relationship of CBL and CIPK genes in Medicago and C. arietinum. The duplicate gene pairs retained after PWGD event are revealed. C. arietinum is taken as outgroup. The lines in red and gray represent the syntenic relationship of CBL and CIPK gene pairs, respectively

To better understand the evolutionary relationships of both gene families, the inter-species synteny was analyzed among the six genomes, including five Medicago species/subspecies plus C. arietinum. Consequently, syntenic gene pairs were extensively present among these six genomes, such as 20 CBL and 36 CIPK syntenic gene pairs between M. sativa ssp. sativa and M. sativa ssp. caerulea, 15 CBL and 39 CIPK syntenic gene pairs between M. sativa ssp. caerulea and M. truncatula, 14 CBL and 35 CIPK syntenic gene pairs between M. truncatula and M. ruthenica, 21 CBL and 42 CIPK syntenic gene pairs between M. ruthenica and M. polymorpha, and 19 CBL and 48 CIPK syntenic gene pairs between M. polymorpha and C. arietinum (Fig. 5). The wide presence of syntenic connections among these six genomes from Papilionoideae indicates that the PWGD has contributed significantly to the expansion of both gene families.

Fig. 5
figure 5

The interspecies syntenic relationship of CBL and CIPK genes in Medicago and C. arietinum. The collinearity of CBL and CIPK orthologous genes are indicated using red and gray lines

The cultivated M. sativa spp. sativa is an autotetraploid species displaying tetrasomic inheritance (2n = 4 ×  = 32). Following the PWGD, its diploid ancestor underwent an independent lineage-specific autotetraploidy event, referred to Msa-WGD event. To visualize the expansion patterns of CBL and CIPK genes in M. sativa spp. sativa, a total of 49 CBLs (Additional file 1: Table S1) and 107 CIPKs (Additional file 2: Table S2) were identified (Additional file 3: Fig. S1). It was found that 25 pairs of CBLs and 54 pairs of CIPKs survived after two-round WGDs in the tetraploid M. sativa spp. sativa (Additional file 8: Fig. S3). We further checked the synonymous substitution (Ks) values for all syntenic duplicate gene pairs (Additional file 7: Table S5), and found that there are 19 pairs of CBLs and 39 pairs of CIPKs preserved after Msa-WGD (Additional file 8: Fig. S3).

In addition to syntenic duplicates, 3 pairs of CBLs and 5 pairs of CIPKs were found survived after a number of independent recent tandem duplication events in M. sativa spp. sativa (Additional file 3: Fig. S1). Among them, the tandem duplicate gene MsCBL09/MsCBL13/MsCBL07 have been retained on each chromosome set of tetrasomic inheritance genome, indicating that the tandem duplication occurred before Msa-WGD (Additional file 3: Fig. S1). The tandem duplications of MsCBL11.1/MsCBL12.1, MsCBL05.1/MsCBL08.1, and MsCIPK26/MsCIPK09 show the similar expansion pattern to that of MsCBL09.1/MsCBL13.1/MsCBL07.1 (Additional file 3: Fig. S1). By contrast, the tandem duplications of MsCIPK35.1/MsCIPK25.1, MsCIPK37.3/MsCIPK40.3/MsCIPK38.3, MsCIPK36.2/MsCIPK05.2, and MsCIPK32.1/MsCIPK30.1/MsCIPK27.1/MsCIPK31.1/MsCIPK33.1 are only present on one chromosome, but their paralogs are not detected on the other three homologous chromosomes (Additional file 3: Fig. S1). These results indicate that the tandem duplications took place on individual chromosomes independently, which is later than Msa-WGD.

Expression profile of CBL and CIPK genes in M. sativa spp. sativa

The expression of CBL and CIPK genes was examined using public RNA-seq data of six tissues from M. sativa spp. sativa, including roots, mature leaves, developing flowers, elongating stem internodes, post-elongating stem internodes, and nitrogen fixing nodules [29]. Most of CBLs and CIPKs are expressed with distinct abundance in tested tissues, except for 3 CBLs (MsCBL07/09/13) and 1 CIKP (MsCIPK18), whose expressions are too low to be detected. There are 9 CBLs (MsCBL03.1/01.1/02.1/11.1/12.1/06.1/10.1/08.1/04.1) (Additional file 9: Fig. S4) and 10 CIPKs (MsCIPK06.1/16.1/19.1/25.1/35.1/23.1/04.1/03.1/11.1/12.1) (Additional file 10: Fig. S5) are relatively highly expressed. Tissue-specific expression was also observed. For instance, the transcripts of MsCBL04 and MsCBL08 are preferentially enriched in nitrogen fixing nodules and roots respectively (Additional file 9: Fig. S4), and MsCIPK12/21/34 (Additional file 10: Fig. S5) are exclusively expressed in flowers. These results suggest that CBL and CIPK genes are widely associated with M. sativa spp. sativa development, and may function in a tissue-specific manner.

To better understand their roles in stress responses, we further investigated the expression of CBL and CIPK genes in roots from M. sativa spp. sativa when exposed to the salt and drought treatment, by taking advantage of the public RNA-seq data [30]. When treated by 250 mM NaCl (salt) or 400 mM mannitol (drought), 8 CBLs (MsCBL12.1/04.1/03.1/01.1/08.1/11.1/02.1/06.1) (Additional file 11: Fig. S6) and 12 CIPKs (MsCIPK06.1/25.1/35.1/23.1/16.1/03.1/11.1/12.1/04.1/07.1/08.1/19.1) (Additional file 12: Fig. S7) are highly up-regulated. Particularly, the transcripts of MsCBL04.1, MsCBL012.1, MsCIPK06.1, MsCIPK25.1, and MsCIPK35.1 are dramatically accumulated along the treatments (Additional files 9, 10, 11 and 12: Fig. S4-S7), which were further confirmed by quantitative RT-PCR analysis (Additional file 13: Fig. S8). These genes were remarkably upregulated when exposed to the salt and drought after 12 h (Additional file 13: Fig. S8). Our observations suggested crucial roles of these genes in mediating responses to salt and drought stress. In summary, these results provide a pool of candidate genes to elucidate the functions of CBL and CIPK genes, which could be potentially adopted to improve cultivated Medicago plants with enhanced salt or drought tolerance.

Discussion

Medicago species have been widely cultivated as forage for livestock in the world. With the increasing genome sequencing data from Medicago species and their close relatives, it provides a great opportunity to investigate the fundamental questions in Medicago biology, which in return will aid the cultivated Medicago breeding and improvement [22, 23, 25,26,27, 52, 53]. As a versatile intracellular messenger, roles of Ca2+ in salt and drought stress responses in plants have been extensively studied in last two decades [1, 54]. The CBL-CIPK complex functions as a key regulatory hub to balance the growth and stress responses in environmental adaptations by plants [36]. Thus, the signal-specific responses of CBLs and CIPKs are of great interest to develop resilient and nutrient-efficient crops. Although CBL and CIPK genes had been identified in M. sativa and M. truncatula [49], it is still unclear how these two gene families have evolved in Medicago. Here, we conducted a genome-wide systemic analysis of CBL and CIPK gene families in Medicago and its relatives, including evolutionary relationships, chromosomal localizations, gene structures, motifs, and duplication patterns, which can contribute to the further studies of CBLs and CIPKs in cultivated Medicago species.

Pervasive duplication events contributed to the expansion of CBL and CIPK families

Both CBL and CIPK gene families have expanded independently in multiple land plant lineages [11, 50]. WGD is able to generate massive duplicated genes instantly, leading to expansion of gene families [50, 55, 56]. Our results support that the PWGD is one of the most important events driving the expansion of CBL and CIPK gene families in Medicago and its relative, C. arietinum (Fig. 4). Notably, we also found that the numbers of CBL and CIPK genes show no significant variation among the studied genomes from five Medicago species/subspecies, C. arietinum, and A. thaliana at haploid level (n = 1 ×) (Fig. 1a). Despite a couple of rounds of WGDs occurred during evolution of these species [51, 52, 57], the numbers of CBL and CIPK genes stay relatively constantly in the tested diploid species. This pattern could be explained by the gene balance hypothesis (GBH) [58], in which copy numbers of genes encoding proteins for assembly of macromolecular complex are under selection to follow the stoichiometric dosage for their proper function [50, 59, 60]. CBL proteins interact with CIPKs to form the CBL-CIPK complexes in a dosage-balance-sensitive manner (Additional file 14: Figure S9), and the copy numbers of these genes are constrained more strictly than those of dosage-insensitive genes [50, 61, 62]. Furthermore, the GBH could also account for the observation that the retained duplicates of CBL and CIPK genes are barely derived from the tandem duplication event in M. sativa spp. sativa (Additional file 3: Figure S1; Additional file 8: Figure S3). Tandem duplication takes place by chance, however, the increased gene copies lead to disruption of their natural balance in the formation of CBL-CIPK complex [57, 58, 62]. As a result, the extra copies of duplicated genes would be prone to be eliminated during the process of subsequent evolution [57, 58, 62].

The number of gene family members in autotetraploid can be considered approximately as the sum of numbers from four sets of monoploid genome. For instance, in the autotetraploid M. sativa ssp. sativa, the number of CBLs to CIPKs is 49:107 (2n = 4 ×  = 32), roughly a four-fold increase when compared with that in monoploid, which is 13:26 (n = 1 ×  = 8) (Fig. 1a; Additional file 1: Table S1; Additional file 2: Table S2). By contrast, the allotetraploids exhibit a non-additive pattern. In the allotetraploid G. max, the member of CBLs to CIPKs is 9:51 (n = 2 ×  = 20) (Fig. 1a). These results indicate the presence of different mechanisms underlying the retention/loss of duplicated genes between autotetraploids and allotetraploids, and that the duplicated genes tend to be retained in autotetraploids rather than in allotetraploids [50, 58,59,60,61,62].

PWGD, Msa-WGD, and small-scale tandem duplication have played core roles in the expansion of CBL and CIPK gene families in Medicago, among which the WGDs are major contributors. The stoichiometric dosage balance underlying proper assembly of obligate CBL-CIPK complex is an important evolutionary trajectory [50, 57]. Autotetraploids are much more plastic to cope with the multiple gene copies than diploids and allotetraploids, probably by success in fixation of additive superior genes or alleles. Thus, our study provides an important theoretical guidance for the autopolyploid breeding in crops.

CBLs and CIPKs are relatively conserved in Medicago

In addition to reveal the evolution of gene family, construction of phylogenetic relationship has been widely employed to predict gene functions as well as to identify key features of proteins. Phylogenetic analysis shows that both CBLs and CIPKs are grouped into four clades, and the gene structure and motif are relatively conserved in Medicago (Fig. 3a, c), which is consistent with our previous research in other land plant species [50]. The variation in physicochemical properties suggests that the functions of CBLs and CIPKs are highly diversified, and may be involved in various biological processes in tissue differentiations and stress responses. The motif analysis shows that the vast majority of CBLs contain a well conserved FPSF motif, whilst all CIPKs are highly conserved in NAF motif at the C-terminal. The NAF and FPSP motifs are features for CIPKs and CBLs respectively, probably due to that CIKPs require the NAF motif to specifically bind to CBLs with FPSF motif, which is essential for proper interaction to form the CBL-CIPK complex [7, 63].

Chromosomal localization analysis reveals that the Chromosome 6 harbors no CBL or CIPK genes, and the Chromosome 7 possesses 2 CIPKs in tested Medicago species/subspecies, except M. polymorpha (Fig. 2). Uneven distribution of gene family members on chromosomes is a universal phenomenon that is closely associated with the evolution and genetic variation of plant species. For instance, there are more numbers of CBL and CIPK genes on the chromosome Mpo3 in M. polymorpha than those on the corresponding chromosomes (Mru3, Mtr3, Mca3 and Msa3.1) in other Medicago species/subspecies tested in this study (Fig. 2), which may be caused by the species-specific chromosomal fusion events [27]. In M. polymorpha, Mpo3 is a fused chromosome that is equivalent to the Chromosome 3 and 7 in M. ruthenica, M. truncatula, and M. sativa [27]. Moreover, extensive interspecies synteny between 5 Medicago species/subspecies and C. arietinum was revealed (Fig. 5), suggesting that the orthologous genes of CBLs and CIPKs are conserved respectively, despite the occurrence of recombination and presence of structural variations on their chromosomes during evolution of these species [64].

Roles of CBLs and CIPKs in development and abiotic stress tolerance

The CBLs and CIPKs are ubiquitously involved in developmental processes and responses to abiotic stress in plants [1, 54]. Our results show that MsCBLs and MsCIPKs are wildly expressed in various tissues from M. sativa spp. sativa, including roots, mature leaves, developing flowers, and nitrogen fixing nodules (Fig. 6), suggesting their critical roles in plant growth and development. Potassium is a fundamental macronutrient, which is involved in many physiological processes in plants [65, 66]. The Ca2+-mediated CBL-CIPK complex directly modulates activity of the plasma membrane-localized K+ channel to maintain K+ homeostasis. In A. thaliana, AtCBL4 and AtCIPK6 function in this process by regulating the activity of K+ channel, AKT2. Loss-of-function mutants exhibit reduced rosette size and delayed flowering [65, 66]. According to the phylogeny, MsCBL04.1 and MsCBL12.1, duplicated by PWGD, are close to AtCBL4/SOS3, and MsCIPK06.1 shares the highest similarity to AtCIPK6. Therefore, it can be assumed that MsCBL04.1, MsCBL12.1 and MsCIPK06.1 may play similar role in plant development by regulation of K+ balance. The different expression patterns of duplicate gene pair (MsCBL04.1/MsCBL12.1) indicate that a functional diversification may have occurred after PWGD ca. 55 million years ago [51].

Fig. 6
figure 6

The expression profile of CBL and CIPK genes in M. sativa spp. sativa. a-e The expression of 2 CBLs and 3 CIPKs in different tissues. Six tissues are tested, including roots, mature leaves, developing flowers, elongating stem internodes, post-elongating stem internodes, and nitrogen fixing nodules. f-j. The expression of 2 CBLs and 3 CIPKs in roots under salt and drought stress. The roots were treated with by 250 mM NaCl or 400 mM mannitol

MsCIPK25.1 and MsCIPK35.1 form a tandem duplicate gene pair (Additional file 7: Fig. S2) with the similar expression pattern. Their orthologous gene in A. thaliana, AtCIPK25, is highly expressed in roots (Fig. 6g, i), governing the root meristem size [67]. The close phylogenetic relationship of MsCIPK25.1 and MsCIPK35.1 indicates that this gene pair was generated by a recent tandem duplication, but hereditary changes have not been accumulated enough to drive the functional diversification of these two genes during the evolution of M. sativa spp. sativa.

Salt and drought are major environmental challengers that limit plant growth and development, and crop production. CBLs and CIPKs are recruited to cope with salt and drought stress in land plants [3, 68]. Generally, root is the crucial organ for plants to sense and respond to stress. In A. thaliana, AtCBL4/SOS3 activates AtCIPK24/SOS2 to launch the SOS pathway maintaining the ion homeostasis in roots under salt stress [45, 69]. This pathway has been widely reported to mediate the salt-stress response in rice, maize and sugarcane [19, 34, 46,47,48]. Moreover, CIPK6 and CIPK25 are key factor to confer the resistance to salt and drought stress in A. thaliana and Gossypium hirsutum [50, 70, 71]. Our results show that their orthologous genes in M. sativa spp. sativa, such as MsCBL04.1/MsCBL12.1, MsCIPK25.1/MsCIPK35.1, and MsCIPK06.1, also are highly induced in roots under salt and drought stress conditions, suggesting that these genes act as positive regulators in response to salt and drought stress, probably via modulating the ion homeostasis. Taken together, 2 CBL genes and 3 CIPK genes may play key roles in response to salt and drought stress in M. sativa spp. sativa, and further studies should be performed for in-depth understanding of their functions in stress tolerance.

Conclusions

In summary, we identify 68 CBL and 135 CIPK genes from 5 Medicago species/subspecies at the haploid genome level. PWGD, Msa-WGD, and small-scale tandem duplication have contributed to the expansion of both gene families in Medicago. The gene structure, protein motif, syntenic relationship and phylogenomic relationship of both CBL and CIPK gene families are relatively conserved, shedding new lights on the evolution of CBL and CIPK gene families in Medicago. Furthermore, five genes, including 2 MsCBLs and 3 MsCIPKs, may play critical roles in response to salt and drought stress as well as in various developmental processes. Thus, our study provides candidates for improvement of cultivated M. sativa with enhanced tolerance to salt and drought stress by molecular breeding approaches.

Methods

Identification of CBL and CIPK genes in Medicago

The M. truncatula and C. arietinum genomes were downloaded from Phytozome V13 (https://phytozome-next.jgi.doe.gov/), and the genomes for M. sativa ssp. sativa, M. sativa ssp. caerulea, M. polymorpha, and M. ruthenica were obtained by following the previous studies [22, 23, 25, 27]. Ten CBL and 26 CIPK protein sequences from A. thaliana were queried against the protein annotation databases of selected six genomes via local BLASTp with e-value < 1E-5 and identity > 90% [10]. The candidate sequences were first evaluated by NCBI conserved domain search tools (https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi), and then manually verified by conserved motifs. All CBL proteins were identified by the four EF-hand motifs. Similarly, a conserved NAF/FISL motif was also characterized for all CIPK proteins. The identified protein sequences were used to compute protein MW and pI via Expasy tools with default set (https://web.expasy.org/protparam/).

Phylogeny and classification of CBL and CIPK gene families

The multiple protein sequences of identified CBL and CIPK families were aligned using MUSCLE v.3.8.31 software with default parameters [72]. The resulted alignments of CBL and CIPK sequences were trimmed via trimAL1.4 with the automated1 parameter respectively [73]. The trimmed alignments were used to construct the maximum likelihood (ML) phylogenetic trees using RAxML v.8.2.9 with the PROTGAMMALGX model for 1000 bootstrap replicates [74]. The ML trees were visualized using Interactive Tree of Life (iTOL) (https://itol.embl.de/). C. arietinum and G. max were selected as outgroup species, which share the PWGD event with Medicago species. The CBLs and CIPKs from C. arietinum and G. max were chosen for identification of duplicate genes generated by the PWGD. Furthermore, G. max is a tetraploid species, while C. arietinum is a diploid species. Medicago contains both tetraploid and diploid plants. Therefore, G. max and C. arietinum are essential to investigate the preference of duplication and preservation in diploids, allotetraploids, and autotetraploids from different lineages of Papilionoideae.

Chromosomal location, gene structure, and conserved motif pattern investigation

From the downloaded general feature files of six genomes, we obtained the chromosomal location and gene structure information of CBL and CIPK genes, which were further illustrated using TBtools [75]. The conserved motifs of each CBL and CIPK protein were further confirmed using MEME program (https://meme-suite.org/meme/tools/meme). The conserved motif sequences were demonstrated as Seq Logos via TBtools [75], and the iTOL was used to display the MEME discoveries and gene structures in the circular mode.

Synteny analysis and Ks calculation

The synteny analysis was performed by intra/interspercies compairisons using MCScanX [76]. The duplicate gene pairs generated by tandem duplication and WGD were retieved based on the synteny analysis. The WGD-derived duplicate gene pairs were subject to PAML for calculation of Ks values [77]. Ks values were used to set apart the duplicate gene pairs produced by the autotetraploid WGD event in M. sativa ssp. sativa from those generated by the common WGD event shared by all Papilionoideae species. The Medicago species and C. arietinum shared the Ks value around 0.62 [26], which indicates the occurrence of WGD event in the common ancestors of Papilionoideae. C. arietinum was selected as out group to detect the duplicate gene pairs from the PWGD or Msa-WGD by Ks values.

Expression profiling of CBL and CIPK genes in M. sativa spp. sativa

The RNA-seq raw data of M. sativa spp. sativa was obtained from previous studies [28, 29], which contains two parts: part I is associated with six different tissues, including roots, mature leaves, developing flowers, elongating stem internodes, post-elongating stem internodes, and nitrogen fixing nodules; part II is collected from roots treated by NaCl (salt stress) or mannitol (drought stress) after 1, 3, 6, 12 and 24 h respectively. After strict quality evaluation, clean reads were re-analyzed with the reference genome of M. sativa spp. sativa [23] via Bowtie2 [78]. Gene expression was quantified by fragments per kilobase per million (FPKM) using RSEM package [78]. The expression patterns were visualized via TBtools [75].

Plant growth conditions and stress treatment

The M. sativa spp. sativa accession ‘Zhongmu No. 1 was grown at 22 ℃ under long-day conditions (16 h light: 8 h dark). The seeds were sterilized in 3% H2O2 for 10 min, then washed twice with sterile water. The seeds were placed on moist filter paper in Petri dishes for 5 days. The seedlings exhibiting similar growth were selected and cultured in half-strength Murashige and Skoog (1/2 MS) liquid media (PH 5.8). Seven days post transplantation, the seedlings were exposed to 1/2 MS liquid media supplemented with 250 mM NaCl or 400 mM mannitol. Root samples were carefully harvested 1 h, 3 h, 6 h, and 12 h after treatment respectively.

RNA extraction and quantitative RT-PCR analysis

Around 100 mg of fresh root sample was ground frozen via a Tissue Lyer II homogenizer (Qiagen). Total RNA was extracted using PrimeSciptTM reagent Kit (Takara, Japan) following the manufacture’s instruction. DNA contamination was removed by RQ1 RNase-Free DNase (Promega). cDNA synthesis was performed using SuperScriptII reverse transcriptase (Thermo Fisher Scientific) with oligo (dT) primers. qRT-PCR was performed with SYBR Green Supermix (Takara, Japan) in a CFX96 Real Time System (Bio-Rad). The PCR reaction was carried out as follows: 95 ℃ denaturation for 30 s, followed by 40 cycles of 94 ℃ for 10 s, 60 ℃ for 10 s, and 72 ℃ for 10 s. Primes used in this study were listed in Additional file 14 and Table S6.

Availability of data and materials

All data analyzed in this study are included within the article and attached to the Additional files.

Abbreviations

CBL:

Calcineurin B-like protein

CIPK:

CBL-interacting protein kinase

TTS:

Tonoplast targeting sequence

TM helix:

Transmembrane helical region

ABI:

Abscisic acid insensitive

PP2C:

Protein phosphatase 2C

SOS:

Salt overly sensitive

ML:

Maximum-likelihood

WGD:

Whole genome duplication

PWGD:

The ancestral Papilionoideae whole-genome duplication event

Msa-WGD:

The lineage-specific autotetraploidy independent of WGD event in M. sativa spp. sativa

GBH:

Gene balance hypothesis

References

  1. Tang RJ, Wang C, Li K, Luan S. The CBL-CIPK calcium signaling network: unified paradigm from 20 years of discoveries. Trends Plant Sci. 2020;25(6):604–17.

    Article  CAS  PubMed  Google Scholar 

  2. Weinl S, Kudla J. The CBL-CIPK Ca2+-decoding signaling network: function and perspectives. New Phytol. 2009;184(3):517–28.

    Article  CAS  PubMed  Google Scholar 

  3. Zhu JK. Abiotic stress signaling and responses in plants. Cell. 2016;167(2):313–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Li R, Zhang J, Wei J, Wang H, Wang Y, Ma R. Functions and mechanisms of the CBL-CIPK signaling system in plant response to abiotic stress. Prog Nat Sci. 2009;19(6):667–76.

    Article  Google Scholar 

  5. Verma P, Sanyal SK, Pandey GK. Ca2+-CBL-CIPK: a modulator system for efficient nutrient acquisition. Plant Cell Rep. 2021;40(11):2111–22.

    Article  CAS  PubMed  Google Scholar 

  6. Ma X, Li QH, Yu YN, Qiao YM, Haq SU, Gong ZH. The CBL-CIPK pathway in plant response to stress signals. Int J Mol Sci. 2020;21(16):5668.

    Article  CAS  PubMed Central  Google Scholar 

  7. Sanyal SK, Mahiwal S, Nambiar DM, Pandey GK. CBL-CIPK module-mediated phosphoregulation: facts and hypothesis. Biochem J. 2020;477(5):853–71.

    Article  CAS  PubMed  Google Scholar 

  8. Mao J, Manik SM, Shi S, Chao J, Jin Y, Wang Q, Liu H. Mechanisms and physiological roles of the CBL-CIPK networking system in Arabidopsis thaliana. Genes-Basel. 2016;7(9):62.

    Article  PubMed Central  Google Scholar 

  9. Tang RJ, Zhao FG, Garcia VJ, Kleist TJ, Yang L, Zhang HX, Luan S. Tonoplast CBL-CIPK calcium signaling network regulates magnesium homeostasis in Arabidopsis. PNAS. 2015;112(10):3134–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Kolukisaoglu U, Weinl S, Blazevic D, Batistič O, Kudla J. Calcium sensors and their interacting protein kinases: genomics of the Arabidopsis and rice CBL-CIPK signaling networks. Plant Physiol. 2004;134:43–58.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Thomas J, Kleist ALS, Sheng Luan. Comparative phylogenomics of the CBL-CIPK calcium-decoding network in the moss Physcomitrella, Arabidopsis, and other green lineages. Front Plant Sci. 2014;5:1–17.

    CAS  Google Scholar 

  12. Tang RJ, Liu H, Yang Y, Yang L, Gao XS, Garcia VJ, Luan S, Zhang HX. Tonoplast calcium sensors CBL2 and CBL3 control plant growth and ion homeostasis through regulating V-ATPase activity in Arabidopsis. Cell Res. 2012;22(12):1650–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Du W, Lin H, Chen S, Wu Y, Zhang J, Fuglsang AT, Palmgren MG, Wu W, Guo Y. Phosphorylation of SOS3-like calcium-binding proteins by their interacting SOS2-like protein kinases is a common regulatory mechanism in Arabidopsis. Plant Physiol. 2011;156(4):2235–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Hashimoto K, Eckert C, Anschutz U, Scholz M, Held K, Waadt R, Reyer A, Hippler M, Becker D, Kudla J. Phosphorylation of calcineurin B-like (CBL) calcium sensor proteins by their CBL-interacting protein kinases (CIPKs) is required for full activity of CBL-CIPK complexes toward their target proteins. J Biol Chem. 2012;287(11):7956–68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Albrecht VRO, Linder S, Harter K, Kudla J. The NAF domain defines a novel protein-protein interaction module conserved in Ca2+-regulated kinases. EMBO J. 2001;20:1051–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Guo Y, Halfter U, Ishitani M, Zhu JK. Molecular characterization of functional domains in the protein kinase SOS2 that is required for plant salt tolerance. Plant Cell. 2001;13(6):1383–400.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Sanyal SK, Pandey A, Pandey GK. The CBL-CIPK signaling module in plants: a mechanistic perspective. Physiol Plant. 2015;155(2):89–108.

    Article  CAS  PubMed  Google Scholar 

  18. Gong D, Guo Y, Schumaker KS, Zhu JK. The SOS3 family of calcium sensors and SOS2 family of protein kinases in Arabidopsis. Plant Physiol. 2004;134(3):919–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Zhao J, Sun Z, Zheng J, Guo X, Dong Z, Huai J, Gou M, He J, Jin Y, Wang J, et al. Cloning and characterization of a novel CBL-interacting protein kinase from maize. Plant Mol Biol. 2009;69(6):661–74.

    Article  CAS  PubMed  Google Scholar 

  20. Batistič O, Kudla J. Plant calcineurin B-like proteins and their interacting protein kinases. Biochim Biophys Acta. 2009;1793(6):985–92.

    Article  PubMed  Google Scholar 

  21. Batistič O, Waadt R, Steinhorst L, Held K, Kudla J. CBL-mediated targeting of CIPKs facilitates the decoding of calcium signals emanating from distinct cellular stores. Plant J. 2010;61(2):211–22.

    Article  PubMed  Google Scholar 

  22. Li A, Liu A, Du X, Chen JY, Yin M, Hu HY, Shrestha N, Wu SD, Wang HQ, Dou QW, et al. A chromosome-scale genome assembly of a diploid alfalfa, the progenitor of autotetraploid alfalfa. Hortic Res. 2020;7(1):194.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Chen H, Zeng Y, Yang Y, Huang L, Tang B, Zhang H, Hao F, Liu W, Li Y, Liu Y, et al. Allele-aware chromosome-level genome assembly and efficient transgene-free genome editing for the autotetraploid cultivated alfalfa. Nat Commun. 2020;11(1):2494.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Young ND, Debelle F, Oldroyd GE, Geurts R, Cannon SB, Udvardi MK, Benedito VA, Mayer KF, Gouzy J, Schoof H, et al. The Medicago genome provides insight into the evolution of rhizobial symbioses. Nature. 2011;480(7378):520–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Wang T, Ren L, Li C, Zhang D, Zhang X, Zhou G, Gao D, Chen R, Chen Y, Wang Z, et al. The genome of a wild Medicago species provides insights into the tolerant mechanisms of legume forage to environmental stress. BMC Biol. 2021;19(1):96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Yin M, Zhang S, Du X, Mateo RG, Guo W, Li A, et al. Genomic analysis of Medicago ruthenica provides insights into its tolerance to abiotic stress and demographic history. Mol Ecol Resour2021;21(5):1641–57.

  27. Cui J, Lu Z, Wang T, Chen G, Mostafa S, Ren H, Liu S, Fu C, Wang L, Zhu Y, et al. The genome of Medicago polymorpha provides insights into its edibility and nutritional value as a vegetable and forage legume. Hortic Res. 2021;8(1):47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Yu LX, Kole C, editors. The Alfalfa Genome. Cham: Springer; 2021. https://doi.org/10.1007/978-3-030-74466-3.

  29. Min X, Jin X, Liu W, Wei X, Zhang Z, Ndayambaza B, Wang Y. Transcriptome-wide characterization and functional analysis of MATE transporters in response to aluminum toxicity in Medicago sativa L. PeerJ. 2019;7:e6302.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Luo D, Zhou Q, Wu Y, Chai X, Liu W, Wang Y, Yang Q, Wang Z, Liu Z. Full-length transcript sequencing and comparative transcriptomic analysis to evaluate the contribution of osmotic and ionic stress components towards salinity tolerance in the roots of cultivated alfalfa (Medicago sativa L.). BMC Plant Biol. 2019;19(1):32.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Hrbackova M, Dvorak P, Takac T, Ticha M, Luptovciak I, Samajova O, Ovecka M, Samaj J. Biotechnological perspectives of omics and genetic engineering methods in alfalfa. Front Plant Sci. 2020;11:592.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Liu J, Zhu JK. A calcium sensor homolog required for plant salt tolerance. Science. 1998;280:1943–5.

    Article  CAS  PubMed  Google Scholar 

  33. Sun T, Wang Y, Wang M, Li T, Zhou Y, Wang X, et al. Identification and comprehensive analyses of the CBL and CIPK gene families in wheat (Triticum aestivum L.). BMC Plant Biol. 2015;15:269.

  34. Kanwar P, Sanyal SK, Tokas I, Yadav AK, Pandey A, Kapoor S, Pandey GK. Comprehensive structural, interaction and expression analysis of CBL and CIPK complement during abiotic stresses and development in rice. Cell Calcium. 2014;56(2):81–95.

    Article  CAS  PubMed  Google Scholar 

  35. Zhang H, Zhu J, Gong Z, Zhu JK. Abiotic stress responses in plants. Nat Rev Genet. 2021;23(2):104–19.

    Article  PubMed  Google Scholar 

  36. Dong Q, Bai B, Almutairi BO, Kudla J. Emerging roles of the CBL-CIPK calcium signaling network as key regulatory hub in plant nutrition. J Plant Physiol. 2021;257:153335.

    Article  CAS  PubMed  Google Scholar 

  37. Chen X, Ding Y, Yang Y, Song C, Wang B, Yang S, Guo Y, Gong Z. Protein kinases in plant responses to drought, salt, and cold stress. J Integr Plant Biol. 2021;63(1):53–78.

    Article  CAS  PubMed  Google Scholar 

  38. Cheong YH, Pandey GK, Grant JJ, Batistič O, Li L, Kim BG, Lee SC, Kudla J, Luan S. Two calcineurin B-like calcium sensors, interacting with protein kinase CIPK23, regulate leaf transpiration and root potassium uptake in Arabidopsis. Plant J. 2007;52(2):223–39.

    Article  CAS  PubMed  Google Scholar 

  39. Xu J, Li HD, Chen LQ, Wang Y, Liu LL, He L, Wu WH. A protein kinase, interacting with two calcineurin B-like proteins, regulates K+ transporter AKT1 in Arabidopsis. Cell. 2006;125(7):1347–60.

    Article  CAS  PubMed  Google Scholar 

  40. Kim BG, Waadt R, Cheong YH, Pandey GK, Dominguez-Solis JR, Schultke S, Lee SC, Kudla J, Luan S. The calcium sensor CBL10 mediates salt tolerance by regulating ion homeostasis in Arabidopsis. Plant J. 2007;52(3):473–84.

    Article  CAS  PubMed  Google Scholar 

  41. Pandey GK, Kanwar P, Singh A, Steinhorst L, Pandey A, Yadav AK, Tokas I, Sanyal SK, Kim BG, Lee SC, et al. Calcineurin B-Like protein-interacting protein kinase CIPK21 regulates osmotic and salt stress responses in Arabidopsis. Plant Physiol. 2015;169(1):780–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Quan R, Lin H, Mendoza I, Zhang Y, Cao W, Yang Y, Shang M, Chen S, Pardo JM, Guo Y. SCABP8/CBL10, a putative calcium sensor, interacts with the protein kinase SOS2 to protect Arabidopsis shoots from salt stress. Plant Cell. 2007;19(4):1415–31.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Halfter U, Ishitani M, Zhu JK. The Arabidopsis SOS2 protein kinase physically interacts with and is activated by the calcium-binding protein SOS3. PNAS. 2000;97(7):3735–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Mao J, Mo Z, Yuan G, Xiang H, Visser RGF, Bai Y, Liu H, Wang Q, van der Linden CG. The CBL-CIPK network is involved in the physiological crosstalk between plant growth and stress adaptation. Plant Cell Environ. 2022. https://doi.org/10.1111/pce.14396.

    Article  PubMed  Google Scholar 

  45. Qiu QS, Guo Y, Dietrich MA, Schumaker KS, Zhu JK. Regulation of SOS1, a plasma membrane Na+/H+ exchanger in Arabidopsis thaliana, by SOS2 and SOS3. PNAS. 2002;99(12):8436–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Xiang Y, Huang Y, Xiong L. Characterization of stress-responsive CIPK genes in rice for stress tolerance improvement. Plant Physiol. 2007;144(3):1416–28.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Zhou X, Li J, Wang Y, Liang X, Zhang M, Lu M, et al. The classical SOS pathway confers natural variation of salt tolerance in maize. New Phytol. 2022;236:479–94.

    Article  CAS  PubMed  Google Scholar 

  48. Ma QJ, Sun MH, Lu J, Kang H, You CX, Hao YJ. An apple sucrose transporter MdSUT2.2 is a phosphorylation target for protein kinase MdCIPK22 in response to drought. Plant Biotechnol J. 2019;17(3):625–37.

    Article  CAS  PubMed  Google Scholar 

  49. Du W, Yang J, Ma L, Su Q, Pang Y. Identification and characterization of abiotic stress responsive CBL-CIPK family genes in Medicago. Int J Mol Sci. 2021;22(9):4634.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Zhang X, Li X, Zhao R, Zhou Y, Jiao Y. Evolutionary strategies drive a balance of the interacting gene products for the CBL and CIPK gene families. New Phytol. 2020;226(5):1506–16.

    Article  CAS  PubMed  Google Scholar 

  51. Kreplak J, Madoui MA, Capal P, Novak P, Labadie K, Aubert G, Bayer PE, Gali KK, Syme RA, Main D, et al. A reference genome for pea provides insight into legume genome evolution. Nat Genet. 2019;51(9):1411–22.

    Article  CAS  PubMed  Google Scholar 

  52. Shen C, Du H, Chen Z, Lu H, Zhu F, Chen H, Meng X, Liu Q, Liu P, Zheng L, et al. The chromosome-level genome sequence of the autotetraploid alfalfa and resequencing of core germplasms provide genomic resources for alfalfa research. Mol Plant. 2020;13(9):1250–61.

    Article  CAS  PubMed  Google Scholar 

  53. Varshney RK, Song C, Saxena RK, Azam S, Yu S, Sharpe AG, Cannon S, Baek J, Rosen BD, Tar’an B, et al. Draft genome sequence of chickpea (Cicer arietinum) provides a resource for trait improvement. Nat Biotechnol. 2013;31(3):240–6.

    Article  CAS  PubMed  Google Scholar 

  54. Dong Q, Wallrad L, Almutairi BO, Kudla J. Ca2+ signaling in plant responses to abiotic stresses. J Integr Plant Biol. 2022;64(2):287–300.

    CAS  PubMed  Google Scholar 

  55. Wang P, Moore BM, Panchy NL, Meng F, Lehti-Shiu MD, Shiu SH. Factors influencing gene family size variation among related species in a plant family. Solanaceae Genome Biol Evol. 2018;10(10):2596–613.

    Article  CAS  PubMed  Google Scholar 

  56. Soltis PS, Soltis DE. Ancient WGD events as drivers of key innovations in angiosperms. Curr Opin Plant Biol. 2016;30:159–65.

    Article  PubMed  Google Scholar 

  57. Coate JE, Song MJ, Bombarely A, Doyle JJ. Expression-level support for gene dosage sensitivity in three Glycine subgenus Glycine polyploids and their diploid progenitors. New Phytol. 2016;212(4):1083–93.

    Article  CAS  PubMed  Google Scholar 

  58. Song MJ, Potter B, Doyle JJ, Coate JE. Gene balance predicts transcriptional responses immediately following ploidy change in Arabidopsis thaliana. Plant Cell. 2020;32(5):1434–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Bohutinska M, Alston M, Monnahan P, Mandakova T, Bray S, Paajanen P, Kolar F, Yant L. Novelty and convergence in adaptation to whole genome duplication. Mol Biol Evol. 2021;38(9):3910–24.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Shi T, Rahmani RS, Gugger PF, Wang M, Li H, Zhang Y, Li Z, Wang Q, Van de Peer Y, Marchal K, et al. Distinct expression and methylation patterns for genes with different fates following a single whole-genome duplication in flowering plants. Mol Biol Evol. 2020;37(8):2394–413.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Blanc G, Wolfe KH. Widespread paleopolyploidy in model plant species inferred from age distributions of duplicate genes. Plant Cell. 2004;16(7):1667–78.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Freeling M. Bias in plant gene content following different sorts of duplication: tandem, whole-genome, segmental, or by transposition. Annu Rev Plant Biol. 2009;60(1):433–53.

    Article  CAS  PubMed  Google Scholar 

  63. Yadav AK, Jha SK, Sanyal SK, Luan S, Pandey GK. Arabidopsis calcineurin B-like proteins differentially regulate phosphorylation activity of CBL-interacting protein kinase 9. Biochem J. 2018;475(16):2621–36.

    Article  CAS  PubMed  Google Scholar 

  64. Cui J, Wang X, Wei Z, Jin B. Medicago truncatula (model legume), Medicago sativa (alfalfa), Medicago polymorpha (bur clover), and Medicago ruthenica. Trends Genet. 2022;38(7):782–3.

    Article  CAS  PubMed  Google Scholar 

  65. Behera S, Long Y, Schmitz-Thom I, Wang XP, Zhang C, Li H, Steinhorst L, Manishankar P, Ren XL, Offenborn JN, et al. Two spatially and temporally distinct Ca2+ signals convey Arabidopsis thaliana responses to K+ deficiency. New Phytol. 2017;213(2):739–50.

    Article  CAS  PubMed  Google Scholar 

  66. Held K, Pascaud F, Eckert C, Gajdanowicz P, Hashimoto K, Corratge-Faillie C, Offenborn JN, Lacombe B, Dreyer I, Thibaud JB, et al. Calcium-dependent modulation and plasma membrane targeting of the AKT2 potassium channel by the CBL4/CIPK6 calcium sensor/protein kinase complex. Cell Res. 2011;21(7):1116–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  67. Kumar Meena M, Kumar Vishwakarma N, Tripathi V, Chattopadhyay D. CBL-interacting protein kinase 25 contributes to root meristem development. J Exp Bot. 2019;70(1):133–47.

    Article  PubMed  Google Scholar 

  68. Zhu JK. Salt and drought stress signal transduction in plants. Annu Rev Plant Biol. 2002;53:247–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  69. Shi H, Ishitani M, Kim C, Zhu JK. The Arabidopsis thaliana salt tolerance gene SOS1 encodes a putative Na+/H+ antiporter. PNAS. 2000;97(12):6896–901.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Chen L, Wang QQ, Zhou L, Ren F, Li DD, Li XB. Arabidopsis CBL-interacting protein kinase (CIPK6) is involved in plant response to salt/osmotic stress and ABA. Mol Biol Rep. 2013;40(8):4759–67.

    Article  CAS  PubMed  Google Scholar 

  71. Shi JX, Adato A, Alkan N, He Y, Lashbrooke J, Matas AJ, Meir S, Malitsky S, Isaacson T, Prusky D, et al. The tomato SlSHINE3 transcription factor regulates fruit cuticle formation and epidermal patterning. New Phytol. 2013;197(2):468–80.

    Article  CAS  PubMed  Google Scholar 

  72. Edgar RC. MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinform. 2004;5:113.

    Article  Google Scholar 

  73. Capella-Gutierrez S, Silla-Martinez JM, Gabaldon T. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics. 2009;25(15):1972–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  74. Stamatakis A. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics. 2014;30(9):1312–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Chen C, Chen H, Zhang Y, Thomas HR, Frank MH, He Y, Xia R. TBtools: an integrative toolkit developed for interactive analyses of big biological data. Mol Plant. 2020;13(8):1194–202.

    Article  CAS  PubMed  Google Scholar 

  76. Wang Y, Tang H, Debarry JD, Tan X, Li J, Wang X, Lee TH, Jin H, Marler B, Guo H, et al. MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearity. Nucleic Acids Res. 2012;40(7):e49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Yang ZH. PAML 4: phylogenetic analysis by maximum likelihood. Mol Biol Evol. 2007;24(8):1586–91.

    Article  CAS  PubMed  Google Scholar 

  78. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods. 2012;9(4):357–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study was supported by the strategic priority research programme of the Chinese Academy of Sciences (XDA26030104) and K.C. Wong education foundation (GJTD-2020–05) to Bo Xu, the special research assistant program of the Chinese Academy of Sciences to Xiao-Xia Zhang and the China postdoctoral science foundation funded project (2021M693399), the key research and development program of Hebei province (19226424D) to Zhi-Min Yang.

Author information

Authors and Affiliations

Authors

Contributions

BX and XXZ conceived and designed the research. XXZ, XLR, ZMY and XTQ conducted the data analyses and finished the original manuscripts. All the authors read, revised and approved the final manuscript.

Corresponding author

Correspondence to Bo Xu.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

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

Supplementary Information

Additional file 1: Table S1.

Summary of CBL gene characteristics in Medicago and C. arietinum.

Additional file 2: Table S2.

Summary of CIPK gene characteristics in Medicago and C. arietinum.

Additional file 3: Figure S1.

Chromosomal localization of the CBL and CIPK genes in M. sativa spp. sativa.

Additional file 4: Table S3.

CBL protein sequences used to build phylogenetic tree.

Additional file 5: Figure S2.

Subcellular localization motifs of CBL proteins at the N-terminus.

Additional file 6: Table S4.

CIPK protein sequences used to build phylogenetic tree.

Additional file 7: Table S5. Ks

value of paralog pairs of CBL and CIPK genes in M. sativa spp. sativa.

Additional file 8: Figure S3.

Synteny analysis of CBL and CIPK genes among four allelic chromosomes in M. sativa spp. sativa. CBL genes are in red, and CIPK genes are in gray. Red lines represent the collinearity of duplicated CBL genes, and gray lines indicate the collinearity of duplicated CIPK genes. Four sets of chromosomes in chromosome circles are represented by four different colors, light green for the first set of chromosomes (MsaX.1), light blue for the second set of chromosomes (MsaX.2), pick for the third set of chromosomes (MsaX.3), and orange for the fourth set of chromosomes (MsaX.4). MsaX indicates chromosome 1 to 8.

Additional file 9: Figure S4.

Expression of CBL genes in different tissues from M. sativa spp. sativa.

Additional file 10: Figure S5.

Expression of CIPK genes in different tissues from M. sativa spp. sativa.

Additional file 11: Figure S6.

Expression of CBL genes in roots of M. sativa spp. sativa when exposed to salt and drought stress.

Additional file 12: Figure S7.

Expression of CIPK genes in roots of M. sativa spp. sativa when exposed to salt and drought stress.

Additional file 13: Figure S8.

Expression analysis of selected genes by qRT-PCR in roots from M. sativa spp. sativa exposed to salt and drought stress. Plants were treated with 250 mM NaCl or 400 mM mannitol, and roots were carefully harvested 1h, 3h, 6h, and 12h after treatments respectively. MsUBQ gene was used as internal control. The experiments were performed in triplicates with a representative result displayed, and values are the mean ± SE. The lowercase letters indicate significant difference (Tukey’s multiple comparison test, p < 0.05).

Additional file 14: Figure S9.

The protein interaction network between CBLs and CIPKs in A. thaliana and M. sativa spp. sativa. The interaction network in M. sativa spp. sativa was predicted based on gene co-expression.

Additional file 15: Table S6.

The primers used in this study.

Rights and permissions

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

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, XX., Ren, XL., Qi, XT. et al. Evolution of the CBL and CIPK gene families in Medicago: genome-wide characterization, pervasive duplication, and expression pattern under salt and drought stress. BMC Plant Biol 22, 512 (2022). https://doi.org/10.1186/s12870-022-03884-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12870-022-03884-3

Keywords