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Comparative phylogenetic analysis of CBL reveals the gene family evolution and functional divergence in Saccharum spontaneum

Abstract

Background

The identification and functional analysis of genes that improve tolerance to low potassium stress in S. spontaneum is crucial for breeding sugarcane cultivars with efficient potassium utilization. Calcineurin B-like (CBL) protein is a calcium sensor that interacts with specific CBL-interacting protein kinases (CIPKs) upon plants’ exposure to various abiotic stresses.

Results

In this study, nine CBL genes were identified from S. spontaneum. Phylogenetic analysis of 113 CBLs from 13 representative plants showed gene expansion and strong purifying selection in the CBL family. Analysis of CBL expression patterns revealed that SsCBL01 was the most commonly expressed gene in various tissues at different developmental stages. Expression analysis of SsCBLs under low K+ stress indicated that potassium deficiency moderately altered the transcription of SsCBLs. Subcellular localization showed that SsCBL01 is a plasma membrane protein and heterologous expression in yeast suggested that, while SsCBL01 alone could not absorb K+, it positively regulated K+ absorption mediated by the potassium transporter SsHAK1.

Conclusions

This study provided insights into the evolution of the CBL gene family and preliminarily demonstrated that the plasma membrane protein SsCBL01 was involved in the response to low K+ stress in S. spontaneum.

Peer Review reports

Background

Sugarcane cultivars (Saccharum spp.) are mainly grown in tropical and subtropical regions of the world. Potassium leaching and soil acidification are common in these regions, thus decreasing the soil potassium content in sugarcane cultivation regions, particularly if the cultivation layer is low. A lack of soil potassium adversely affects the yield and quality of sugarcane [1]. Calcineurin B-like (CBL) protein, a plant calcium-binding protein initially identified in Arabidopsis, is a member of a group of small proteins that are strongly homologous with the regulatory B subunit of calcineurin in yeast [2]. When the cells of plant roots perceive reduced K+ concentrations in the external environment, Ca2+ signals are generated and relayed by CBLs to activate K+ channel proteins and potassium transporters, enhancing the uptake and utilization of K+ [3].

Subsequent studies have revealed that rice (O. sativa L.) and Arabidopsis (A. thaliana) possess 10 distinct CBL proteins [4, 5]. Using comparative genomic methods, different numbers of CBLs have been identified in maize (Z. mays L.), sorghum (S. bicolor L.), poplar (Populus L.), and cotton [6,7,8,9]. All CBLs are characterized by the presence of at least three conserved calcium-binding EF (elongation factor)-hand motifs. The EF-hand motif is defined by its helix–loop–helix secondary structure as well as in the ligands presented by the loop to bind the Ca2+ ion [10]. To relay Ca2+ signals, CBLs interact with target proteins, such as kinases, cytoskeletal-associated proteins, and metabolic enzymes to regulate gene expression [11, 12]. CBL-interacting protein kinases (CIPKs) are important target proteins of CBLs [3]. The CBL-CIPK complex has an indispensable role in plant response to abiotic stresses such as salinity, potassium starvation, low temperature, and drought [2, 13]. Besides, it also serves as an important signaling network regulating growth and development, uptake and transport of NO3, NH4+, and iron, H+ homeostasis, and reactive oxygen species (ROS) signal transduction in plants [13, 14].

To date, studies on the CBL family have mainly focused on Arabidopsis, rice, and maize. In Arabidopsis, AtCBL1/9 was first reported to positively regulate K+absorption by forming a CBL1/9-CIPK23 complex and activating the inward-rectifier K+channel AKT1 (Arabidopsis K+ transporter 1) by phosphorylation [15, 16]. The AtCBL1-AtCIPK23 complex also affects abscisic acid (ABA)-induced stomatal aperture and ROS signaling [17, 18]. The AtCBL2-AtCIPK11 complex has been recognized to have a negative role in activating the plasma membrane H+-ATPase (PMA) [19, 20]. AtCBL2/3 was found to be involved in protecting plants from high Mg2+ toxicity by regulating the sequestration of Mg2+in vacuole by forming a multivalent network with AtCIPK3/9/23/26 in Arabidopsis [21]. AtCBL2/3-CIPK12 complexes localized on the tonoplast participate in the controlling the germination of pollen grains and tube growth [22]. The AtCBL4-CIPK6 complex is a crucial regulator for the translocation of AtAKT2 from the endoplasmic reticulum to PM [23]. Both AtCBL4 and AtCBL10 are involved in the salt stress response through activation of AtCIPK24. AtCBL4 is primarily expressed in the root tissues under high-salt conditions [24], while AtCBL10 is expressed in leaves [25]. The AtCBL4-AtCIPK24 complex functions at the plasma membrane to drive the Na+/H+ exchanger SOS1 to extrude Na+ out of the cell to improve salt tolerance [24]. The AtCBL10-AtCIPK24 complex functions at the tonoplast and stimulates the Na+/H+ exchanger to sequestrate Na+ into the vacuole in the case of salt toxicity [25]. In rice, the homologous OsCBL4 protein has been found to interact with OsCIPK24 and participates in the SOS signaling pathway in response to salt stress [26]. The OsCBL1-OsCIPK23 complex also enhances OsAKT1-mediated K+ uptake in rice roots [27]. In maize, ZmCBL9 can interact with eight maize CIPKs, i.e., ZmCIPK8/9/15/23/24/31/32/39, to regulate abiotic stress including dehydration, salt, ABA, and low K+level [8].

Sugarcane is the chief sugar and biofuel feedstock crop, contributing 80 and 40% of the world’s sugar and ethanol, respectively [28]. Sugarcane cultivars are interspecific hybrids of S. officinarum (2n = 8 x = 80, x = 10) and the wild species S. spontaneum with many aneuploid forms (2n = 5 x ~ 16 x = 40 ~ 128; x = 8) and various cytotypes [29]. S. officinarum contributes to the high sugar content and S. spontaneum is added for incorporating hardiness, resistance against diseases, and ratooning capacity by backcrossing to S. officinarum to recover its high sugar content as well as high biomass [29], which is a major breakthrough in sugarcane breeding history. Consequently, the sugarcane cultivars are interspecific hybrids, polyploid, aneuploid with around 80% chromosomal content derived from S. officinarum, 10 ~ 15% from S. spontaneum and the remaining 5 ~ 10% from interspecific recombinants [30, 31]. Genes of the CBL family have been reported to be engaged in the regulation of the low potassium response in Arabidopsis, rice, and maize [4, 5, 8] but their roles and mechanisms of regulation in sugarcane remain unknown. This study revolving around the recently released S. spontaneum genome [32], comprehensively analyses the CBL family in S. spontaneum and other plants. The expression patterns of SsCBLs were monitored during development and in response to low K+ stress. SsCBL01 was selected for further functional analysis. Taken together, this study performed a systematic analysis of the evolution of the CBL family and identified some robust CBL genes as candidates for responding to low K+ stress in sugarcane.

Results

Recognition of CBL genes in S. spontaneum

A total of nine distinct SsCBLs were identified from the AP85–441 tetraploid S. spontaneum genome [32] by excluding alleles. Eight SbCBLs were correspondingly identified from S. bicolor, the closest relative of sugarcane, based on comparative genomics (Table 1). For consistency, these SsCBLs were named according to the CBL nomenclature in O. sativa [4] and phylogenetic relationships. Each SsCBL has 1 to 4 alleles with a mean value of 3 in the S. spontaneum genome (Table S1). Among the nine SsCBLs, SsCBL01 and SsCBL03 were located on chromosome 1; SsCBL05, SsCBL09, and SsCBL10 were located on chromosome 3; SsCBL04 and SsCBL06 were located on chromosome 7; SsCBL02 was located on chromosome 2, and SsCBL08 was located on chromosome 4. All SsCBLs have 8 exons except for SsCBL09 and encode 211 to 294 amino acid residues. The predicted subcellular location of SsCBLs was the plasma membrane (PM), consistent with their role as calcium sensors to sense and decode extracellular signals. In addition, some SsCBLs may be also located on the tonoplast or in the cytoplasm. Sequence alignment of SsCBLs with their S. bicolor orthologs illustrated that the identities ranged from 78.54 to 100%, with an average of 95.15% (Table 1).

Table 1 Overview and comparison of CBL genes in S. bicolor and S. spontaneum

Pairwise protein sequence comparisons among SsCBLs showed that the lowest similarity was 47.2% (between SsCBL04 and SsCBL03/06), the highest similarity was 92.5% (between SsCBL02 and SsCBL03), and the average was 61.8% (Table S2). Multiple alignments of the SsCBLs protein sequence revealed that all nine SsCBLs have three typical conserved EF-hand domains, and a conserved V-F-H-P-N motif is present at the end of the first EF-hand domain (Fig. 1). Four SsCBLs (SsCBL01, SsCBL04, SsCBL05, and SsCBL08) harbor conserved myristoylation and palmitoylation sites (M-G-C-X-X-S/T) in their N-terminal regions (Fig. 1), which have crucial roles in protein aggregation, stability, and trafficking [33, 34].

Fig. 1
figure1

Amino acid sequence alignment of SsCBLs by DNAMAN software. The degree of similarity of the nine SsCBLs protein sequences is shown in distinct colors (50–74% cyan; 75–99%, cherry red; deep blue, 100%). EF-hand domains are indicated above the alignment, and the typical conserved myristoylation and palmitoylation sites are enclosed by red boxes

Cis-elements analysis of CBL genes in S. spontaneum

Analysis of the cis-elements in the upstream promoter region of SsCBLs was carried out. The most frequently identified cis-elements were light-responsive, phytohormone responsive, and putative stress-responsive, as shown in Fig. S1. All SsCBLs except SsCBL05 contain an abscisic acid-responsive element (ABRE) and all SsCBLs except SsCBL01 contain a methyl jasmonate responsive element (JARE). Other phytohormone-responsive cis-elements such as ethylene-responsive element (ERE), auxin response factor (ARF), salicylic acid-responsive elements (SARE), and gibberellin responsive element (GARE) were identified in most SsCBLs. Putative stress-responsive cis-elements, such as the dehydration-responsive element (DRE), low-temperature responsive element (LTR), and MYB transcription factor binding site involved in drought-inducibility were also identified. The G-Box cis-element involved in light response was enriched in the promoters of five out of the nine SsCBLs (SsCBLs01, SsCBLs02, SsCBLs03, SsCBLs06, and SsCBLs08).

Analysis of Ka/Ks values of the CBLs

To analyze the selection pressure of SsCBL genes in evolution, the ratios of nonsynonymous to synonymous substitution (Ka/Ks) among SsCBLs and their orthologous genes in S. bicolor were estimated. The results revealed that the Ka/Ks value of CBL gene pairs between S. spontaneum and S. bicolor was less than 1 (Fig. S2), which suggests that the CBL gene family went through strong purifying selection after the split between S. spontaneum and sorghum, and these genes are functionally conserved.

Phylogenetic analysis of CBL genes in S. spontaneum and other representative angiosperms

To have a better understanding of the phylogenic evolution of the CBL gene family, a total of 112 CBL genes, identified from 12 representative angiosperms (8 monocotyledons, 3 dicotyledons, and Amborella trichopoda) were used to construct a phylogenetic tree, while selecting a CBL gene from C. reinhardtii as the outgroup (Fig. 2). The 112 CBL genes included 9 from S. spontaneum, 8 from S. bicolor, 12 from Z. mays, 9 from S. viridis, 10 from S. italica, 10 from O. sativa, 9 from B. distachyon, 8 from A. comosus, 10 from A. thaliana, 9 from V. vinifera, 13 from S. lycopersicum and 5 from Amborella trichopoda (Fig. 3). The results suggested that the total count of CBL genes in a plant species is not proportionate to the size of its genome.

Fig. 2
figure2

Schematic and phylogeny diagram for intron/exon organization of CBL genes from 13 species of plant

Fig. 3
figure3

Phylogenetic relationships of CBL families based on the available data for angiosperms. The number of CBL genes and the genome size of each species are shown

The 112 CBL genes belonging to various species could be categorized into four clades (I, II, III, IV) (Fig. 2). A. trichopoda, the earliest diverging angiosperm contained 5 CBL genes, whereas, in dicots and monocots, the total count of CBL genes varied from 8 to 13, suggesting that the CBL gene family has undergone gene expansion, and this gene expansion is mainly attributed to the whole-genome duplications (WGDs) in both the dicot and monocot lineages (Figs. 2 and 3). Clades I, III, and IV contained CBL genes from all 12 angiosperms, suggesting that the ancestors of these genes predated the split of angiosperms. Moreover, the CBLs from S. spontaneum often clustered together with those from gramineous plants, especially S. bicolor. These results are consistent with S. bicolor being the closest relative of sugarcane.

Exon/intron organization of the CBL family in S. spontaneum and other angiosperms

To analyze the intron-exon structure and evolution of the CBL genes in different species, cDNA sequences were mapped onto their genomic sequence. According to the results, the exon number of CBL family in these species varied from 1 to 12, with most CBLs (76 out of 113, 67.3%) containing 8 exons, indicating that the last common ancestor (LCA) of CBLs in angiosperms had 8 exons (Fig. 2, Fig. S3). CBL09 and its orthologous genes in clade II had an extra exon compared with other clades, which presumably originated after an exonization event, a main driving force causing exon-intron structural differences in homologous genes [35]. The CBL gene size in clade IV varied the most among the four clades. The CBL gene structure in each subfamily was similar, and the exon sizes of the examined CBLs remained relatively conserved. However, the sizes of the genes varied widely, which is majorly attributed to different intron sizes or intron insertion (Fig. 2). The intron phases of the splice sites of these CBL genes were analyzed based on phases 1, 2, and 0 representing alternative splicing occurring after the 1st, 2nd, and 3rd nucleotide of the codon, respectively [36]. The results indicated that splicing phases of almost all introns in the same relative positions were identical, suggesting that the splicing phase of the CBL genes was highly conserved during evolution (Fig. 2).

Expression analysis of SsCBLs in different tissues at different stages

Transcriptome profiles of CBLs in S. spontaneum were analyzed based on RNA-seq data for investigating the expression patterns of all SsCBL genes in different tissues at different stages (Fig. 4A, Table S3). SsCBL01 showed the highest expression level among all SsCBLs; moreover, the expression level at the pre-mature stage or mature stage was higher than that at the seedling stage. Both SsCBL03 and SsCBL06 showed a higher degree of expression in the stem compared to the leaf. SsCBLs in clade I and clade II, including SsCBL04/05/08/09/10 all showed very low or undetectable levels of expression in the tissues examined, indicating that their role is rather limited in growth and development.

Fig. 4
figure4

The pattern of SsCBL gene expression based on FPKM in S. spontaneum. (A) in different tissues of different stages; (B) during the diurnal cycles; (C) schematic diagram of S. spontaneum plant to show the tissues sampled. The FPKM is shown as the mean of three biological replicates

Expression analysis of SsCBLs during the circadian rhythms

CBLs had been reported to respond to light in Arabidopsis [37]. To analyze the expression patterns of SsCBLs during diurnal cycles, transcriptome profiles of the mature leaves in S. spontaneum at 2 h intervals within 24 h and at 4 h intervals within another 24 h were investigated. The expression levels of SsCBLs in clade I and clade II were very low or undetectable (Fig. 4B, Table S4), further supporting their limited role and is consistent with the expression pattern at different developmental stages. It is noteworthy that the expression of SsCBL02 was regulated by circadian rhythm, with the peak expression level in the morning and the lowest in the middle of the day (Fig. 4). This can be explained by the effects of light on phytohormone activity; the hormone cycle is directly related to the calcium signaling cascade which plays a feedback role in the hormone signaling pathway [38].

Expression analysis of SsCBLs under K+-deficient stress

CBLs play vital roles in decoding the signals triggered by environmental stimuli, such as K+ deprivation or salt stress in Arabidopsis, rice, and maize [13, 27, 39]. Accordingly, we investigated the expression patterns of the nine SsCBLs under K+ starvation by RT-qPCR. Generally, low K+ stress moderately altered the transcription of SsCBLs (Fig. 5). The nine SsCBLs could be categorized into two groups based on their expression patterns. One group contained SsCBL01/03/04/05 and showed increased expression at 6 h with decreasing expression with the prolongation of low K+ stress. The other group contained the SsCBL02/06/08/09/10 genes that showed reduced expression under low K+ stress. The expression levels of SsCBL01 increased significantly at 6 h but decreased at 12 h, 24 h, 48 h, and 72 h under K+ starvation, suggesting that SsCBL01 may play a valuable role in the response to low K+ stress in S. spontaneum. These results also indicated that calcium signaling is an early event in the stress signaling pathway [38].

Fig. 5
figure5

The relative expression levels of SsCBL genes measured by RT-qPCR under low K+ stress in the sugarcane hybrid YT55. The relative expression level was shown as the mean of three biological replicates and three technical replicates, * and ** respectively represent a significant difference at p ≤ 0.05 and p ≤ 0.01 based on Student’s t-test

Subcellular localization of SsCBL01

SsCBL01 harbors a conserved myristoylation site in the N-terminal region, which is one of the characteristics of cell membrane localization. To confirm whether SsCBL01 localizes on the cell membrane, a fusion construct of SsCBL01 with green fluorescent protein (GFP) was used for transient transformation in the rice protoplast. The results showed that the control GFP was detected throughout the cells, while the SsCBL01-GFP fluorescence signal was only observed on the plasma membrane, suggesting that SsCBL01 is a plasma membrane protein (Fig. 6). This is also consistent with the subcellular localization of the homologous CBL1 gene in Arabidopsis and rice [18, 27].

Fig. 6
figure6

SsCBL01 localized at plasma membrane. SsCBL01 protein was fused with GFP. OsMAC1 protein was fused with mCherry. SsCBL01-GFP was individually expressed (A-D) or co-expressed with OsMAC1-mCherry (E-G) in rice protoplasts. The OsMAC1-mCherry was used as a plasma membrane localization marker. Scale bar = 10 μm

Functional analysis of SsCBL01 in the defective yeast mutant

Expression pattern analysis showed that SsCBL01 may have an integral role in response to stress caused by low K+ levels. Heterologous expression of SsCBL01 in yeast showed that there was no obvious difference in growth between the yeast strain transformed with SsCBL01 and the empty vector (Fig. 7), suggesting SsCBL01 alone could not absorb K+. Our previous study showed that SsHAK1 could partly recover K+ absorption under K+ starvation in the yeast mutant [40]. To study the regulatory effect of SsCBL01 on SsHAK1, we constructed co-transformed yeast with both genes and observed the progress of their growth in SC/−ura medium with 100 mM, 10 mM, and 0 mM KCl. The results showed that the growth of the yeast transformed with both SsHAK1 and SsCBL01 was better than the yeast transformed with SsHAK1 at 100 mM, 10 mM, and 0 mM KCl (Fig. 7). All these results suggested that SsCBL01 alone could not absorb K+ but it could promote K+ absorption by SsHAK1.

Fig. 7
figure7

Phenotypic identification of the yeast mutant strain R5421 transformed with SsCBL01 and SsHAK1 on medium with different concentrations of potassium

Discussion

As calcium sensors in plants, the CBL gene family has been found to regulate potassium stress in Arabidopsis, rice, and maize [4, 5, 8]. However, the CBL gene family in S. spontaneum has not yet been characterized. This work identified nine CBL genes from S. spontaneum; these genes together with 104 orthologous CBL genes from 12 plant species, and an outgroup was used to create a phylogenetic tree to study their evolution. Analysis of the expression pattern of SsCBLs in various tissues at individual developmental stages, during the circadian rhythms, and on exposure to low K+ stress was performed to study the functional divergence of SsCBLs. Heterologous expression in yeast revealed SsCBL01 positively regulates K+ uptake by SsHAK1.

Evolution of CBL gene family in S. spontaneum and representative angiosperms

WGD or polyploidy is considered to be a key trigger in the evolution of angiosperms [41, 42]. Extensive analysis of the entire Arabidopsis genome sequence revealed two recent WGDs (named α and β) in the cruciferous lineage and a triplication event (γ) that may be shared by all core dicotyledonous plants [43, 44]. Monocots have experienced two WGDs (named σ and ρ) [45], and recent research found that pineapple (A. comosus) had one lesser WGD event (ρ) compared with other grasses (Poaceae) [46]. Angiosperms underwent an even earlier ancient WGD event (ε) during evolution [47]. A. trichopoda has attracted much attention since it is the earliest angiosperm known to evolve separately from other angiosperms. The above WGD information in angiosperms along with the phylogenetic analysis of 112 CBL genes made it possible to study the gene evolution. The CBL genes from 12 angiosperms can be divided into four clusters in duplicated descending order: clade I, clade II, clade III, and clade IV.

The CBL genes in four clades were distributed unevenly, and CBL gene family members from dicotyledon and monocotyledon species were always found to be clustered in different subfamilies in all four clades. These results indicated that the CBLs might have undergone divergent evolution to adapt to drastic changes in the environment. The gene structure in clade I was the most conserved among the four clades, which was consistent with clade I being the most ancient clade. In clade II, all angiosperms except A. trichopoda contained CBL genes, indicating that the last common ancestor (LCA) of the CBLs in clade II originated after the divergence of A. trichopoda from the angiosperms. The gene expansion seen in clades I, II, and IV was mainly ascribed to the γ WGD in the dicot and the σ WGD in the monocot lineages; besides, the ρ WGD also led to CBL expansion in clades I and II in grasses (Poaceae). Clade III only contained one CBL gene family member, CBL01, and all 12 representative angiosperms, including A. trichopoda, had this gene, suggesting the importance and conservation of CBL01. In clade IV, the CBL gene structure varied the most among the four clades, which was also consistent with the phylogenetic analysis showing clade IV as the latest branch during evolution.

Gene expression and functional divergence of CBLs in Saccharrum

Expression pattern analysis can shed light on the potential functions of the CBL gene family. In our study, the CBL genes in clade I and clade II were either not expressed or expressed to a very low degree in tissues at different developmental stage and in response to circadian rhythms, while the CBL genes in clade III and clade IV were the predominantly expressed genes. Clades I and II appeared earlier than clades III and IV based on the rooted phylogenetic tree. These results suggested that functional redundancy and divergence may have occurred in the CBL family during evolution. According to the phylogenetic analysis, SsCBL01 was an important and conserved gene. This was further confirmed by transcriptome analysis since SsCBL01 was the predominantly expressed gene among the nine SsCBL genes at different developmental stages as well as during circadian rhythms. The expression of SsCBL02 is regulated by the circadian rhythm. In Arabidopsis, AtCBL2 transcription was also found to be influenced by illumination and AtCBL2 responded to light signals by interacting with the SNF1-related protein kinase AtSR1 [37]. These results indicated that SsCBL02 may be involved in signal transduction in response to light.

As a whole, K+ starvation had a moderate effect on the expression levels of the SsCBL genes. Similarly, the CBL genes in cotton also had similar expression patterns under K+ deficiency [6]. These results indicated that multiple SsCBL genes most likely regulate the response to low K+ stress in S. spontaneum. Strikingly, the expression of AtCBL1 and AtCBL9 was found to be stable under low-potassium conditions [17]. Therefore, those SsCBLs not induced by potassium deficiency may also be involved in the adaptation to potassium deficiency in S. spontaneum. The expression of AtCBL10 in roots was observed to be moderately reduced under potassium deprivation [48]. These results suggest that the constitutive expression of some CBL genes may be sufficient to transmit calcium signals to downstream targets in response to low potassium stress in plants. The potassium content in roots and shoots was measured at 0 h, 6 h, 12 h, 24 h, 48 h, and 72 h under low potassium stress. It is interesting to note that the potassium content both in the shoots and roots did not change significantly under low K+ stress within 72 h (Fig. S4). This could be explained by reduced K+ concentrations in the external environment triggering a Ca2+ signal in the cells of the plant root, which is then recognized and relayed by CBLs to activate K+ channel proteins or potassium transporters, leading to enhanced uptake and transport of K+ in the plants over the short term [3, 16].

Gene structure of SsCBL and function of SsCBL01 in response to low K+ stress

All SsCBL genes except SsCBL09 have eight exons, similar to CBL genes in other monocots and eudicots, which suggests conservation of CBL gene structures in different plant species. Moreover, all SsCBL genes contain three typical conserved EF-hand motifs, which bind to Ca2+ to transduce calcium signals. These properties are also strongly reminiscent of those in Arabidopsis and rice [5]. The conserved structure of CBL family members in different plants may imply similar modes of interaction with their target proteins, such as CIPKs.

Studies have shown that CBLs play key roles in response to low potassium stress in Arabidopsis and rice [16, 27]. In this study, low K+ stress had a moderate effect on the transcription of SsCBLs, with SsCBL01 expression up-regulated and then down-regulated under K+ starvation. Heterologous expression of SsCBL01 in yeast showed that SsCBL01 alone could not mediate K+ uptake Further studies found that SsCBL01 could regulate SsHAK1 and enhance K+ uptake mediated by SsHAK1 under both low potassium and normal potassium supply conditions. As in Arabidopsis, rice, and barley, CBL1 has been shown to interact with CIPK23 and phosphorylate AKT1, thereby activating its K+ uptake function [16, 27, 49]. Lee et al. [50] found that AtCBL1 could interact with different CIPKs, such as CIPK6, CIPK16, and CIPK23 to activate AtAKT1. The CBL1-CIPK23 complex can also phosphorylate AtHAK5 and up-regulate its activity to facilitate absorption of K+ in the roots of Arabidopsis [51]. In this study, it was found that SsCBL01 could enhance the K+ absorption-promoting activity of SsHAK1. However, whether this enhancement is due to the interaction between SsCBL01 and SsCIPKs in S. spontaneum needs further investigation.

Conclusions

Sugarcane cultivars are polyploid interspecific hybrids with large and complex genomes. In this study, nine SsCBL genes were initially identified in S. spontaneum using comparative genomics The systematic evolutionary analysis revealed that CBL gene families have undergone gene expansion and strong purifying selection. Gene structure and protein sequence analysis showed that SsCBLs were conserved and contained three typical calcium-binding EF-hand domains. Expression pattern analysis in different tissues at different developmental stages and during the circadian rhythms revealed the functional divergence of SsCBLs. Functional verification in yeast suggested that the cell membrane-localized SsCBL01 alone could not absorb K+ but it positively regulated K+ absorption by the potassium transporter SsHAK1. In summary, this study provides a comprehensive view of the CBL gene family and robust candidate SsCBLs for the further study of functional mechanisms in S. spontaneum.

Methods

Plant materials, growth conditions and yeast mutant strain

S. spontaneum SES208 (2n = 8x = 64, from Jisen Zhang’s laboratory of Fujian Agriculture and Forestry University, FAFU) and the sugarcane commercial hybrid Yuetang 55 (YT55, bred by Institute of Bioengineering, Guangdong Academy of Sciences) were used in this study. SES208 was grown in plastic pots with soil in a greenhouse following standard growing procedures. YT55 was grown in plastic pots with an improved Hoagland nutrient solution.

The yeast mutant R5421 (Saccharomyces cervidinus) is a potassium-deficient strain and is mainly used for the identification of potassium transporters, potassium channels, or sodium pumps. The strain grows normally in medium containing 100 mM K+, and rather slowly in medium containing 5–10 mM K+. However, when the concentration of K+ in the medium was less than 0.5 mM, R5421 cells were not able to grow.

SES208 tissues were sampled to investigate the pattern of expression at various stages of development and at different points in the diurnal cycle. To analyze the pattern of expression at different developmental stages, samples including leaf and stem from 35-day-old plants of SES208 (seedling stage), leaf roll, leaf, upper stem (i.e., Stem3), central stem (i.e., Stem6), and lower stem (i.e., Stem9) from plants at 9 (pre-mature stage) and 12 (mature stage) months of age were collected. The internodes on the S. spontaneum stalk were numbered from top to bottom. A previously described approach was followed for the collection of tissues [52], and three biological replicates were collected for each sample. To investigate the expression patterns in response to circadian rhythms, mature SES208 plant leaves were gathered at an interval of 2 h within the first 24 h starting from 6:00 a.m. on March 2, 2017. In the next 24 h, the collection was carried out at an interval of 4 h. The tissue collection method was the same as described previously [46], and three biological replicates were collected for each sample.

To investigate the expression pattern under conditions of low potassium stress, the hybrid sugarcane variety YT55 was bred at a normal potassium level (3.0 mM KCl) for 20 days in plastic pots with Hoagland nutrient solution (the solution was changed once a week) in greenhouse conditions (temperature: around 26 °C; relative humidity: 60–80%; light cycle: 12–12 h light-dark cycle), and subsequently transferred into the K+-deficient nutrient solution (0.1 mM KCl) for exposure to low K+ stress. Mixed root tissues from six plants in a pot (a biological replicate, a total of three biological replicates were gathered) was sampled at 0 h, 6 h, 12 h, 24 h, 48 h, and 72 h, respectively following stress treatment, then frozen immediately in liquid nitrogen and stored − 70 °C for total RNA extraction.

The potassium contents in the roots and shoots of YT55 under low potassium stress at 0 h, 6 h, 12 h, 24 h, 48 h, and 72 h were measured. The plant tissues of roots and shoots were sampled (six plants in a pot represented a biological replicate, a total of three biological replicates were gathered). These samples were placed in an oven at 105 °C, fixed for 2 min, and then dried to constant weight at 70 °C. Plant samples were crushed in a mill and then passed through a 20-mesh sieve. A total of 0.2 g sample was weighted and digested by the wet ashing method of H2SO4-H2O2 on a cooker. After digestion, the volume was adjusted to 250 mL. The potassium content (mg/g, dry weight) of each treated sugarcane plant tissue was measured using a Model 425 flame photometer (Sherwood, UK).

Identification of CBL family genes in S. spontaneum and other angiosperms

The genome sequences of S. spontaneum were downloaded from NCBI (https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/nuccore/QVOL00000000) [32]. In the light of the earlier reports, the protein sequences of 10, 10, and 12 CBLs from A. thaliana, Z. mays, and O. sativa [1, 4, 8] were applied as queries to search putative CBL gene family members in the genome of S. spontaneum as well as 11 selected angiosperm genomes using the BLASTp program. The 11 angiosperms included 7 monocotyledons (Z. mays, S. bicolor, Setaria italic, A. comosus, S. viridis, B. distachyon, and O. sativa), 3 dicotyledons (A. thaliana, S. lycopersicum, and V. vinifera), and Amborella trichopoda, and genome sequences were downloaded from Phytozome V12.1 (https://phytozome.jgi.doe.gov/pz/portal.html). Sequences with E-values<e− 10 and identities higher than 70% were selected as CBL candidates. Then, the identified CBLs were queried against the Pfam (https://pfam.xfam.org) and Conserved Domain Database (CDD) (https://0-www-ncbi-nlm-nih-gov.brum.beds.ac.uk/Structure/bwrpsb/bwrp-sb.cgi) databases for conserved domains verification. In addition, a C. reinhardtii CBL was used as an outgroup.

Sequence analysis of CBL family from S. spontaneum

Prediction of the properties of the CBL proteins from S. spontaneum and S. bicolor (S. bicolor) was carried out using ExPASy (https://web.expasy.org/compute_pi/). TBtools software was used to extract the GFF3 files of CBL gene family members, and the gene structures were mapped and visualized by TBtools [53]. The subcellular location of the CBL proteins was predicted by the online tool WoLF PSORT (https://www.genscript.com/wolf-psort.html). To analyze the type and distribution of cis-elements in CBLs, a 2 kb sequence in its upstream promoter region was selected and submitted to the online tool Plant CARE (http://bioinformatics.psb.ugent.be/-webtools/plantcare/html/) for the prediction of cis-elements in promoters.

Phylogenetic and evolutionary analysis

The 113 CBL protein sequences from 12 angiosperms and an outgroup were aligned using ClustalW 2.0 by pairwise and multiple alignments with default parameters [54]. A phylogenetic tree of the CBL family was created based on the alignment results using MEGA7.0 [55]. The evolutionary history was inferred by using the Maximum Likelihood method based on the JTT matrix-based model [56]. Assessment of the reliability of the internal branches of the phylogenetic tree was completed using 1000 times bootstrap trials, displaying the percentages next to the branch.

The Ka (non-synonymous substitution rate), Ks (synonymous substitution rate), as well as the ratio of Ka to Ks of the eight pairs CBL orthologs from S. spontaneum and sorghum were estimated using Easy_KaKs calculation program (https://github.com/tangerzhang/FAFUcgb/tree/master/easy_KaKs).

Expression profiling of CBLs in S. spontaneum based on RNA-seq and RT-qPCR

For investigating the pattern of expression at various stages of development and circadian rhythm, RNA from all tissues was extracted by an RNA extraction kit and employed to create cDNA libraries according to the protocol described by TruSeq™. The Illumina Hiseq 2500 platform was used to sequence the RNA-seq libraries with 100 nt paired-end. The S. spontaneum AP85–441 genome was used as a reference genome [32]. The raw reads were first filtered by trimming the adapter and the low-quality sequences, including reads with unknown bases of over 10% and those containing more than 50% of the nucleotides with Q-value ≤5. Then, the obtained clean reads were mapped to reference sequences. Quantitative analysis of RNA-seq was performed through Trinity (https://github.com/trinityrnaseq/trinityrnaseq/wiki), the transcriptional expression level for the individual genes was quantified by the FPKM value (fragments per kilobase of exon per million fragments mapped) using RESM in Trinity [57]; these data can be downloaded from http://sugarcane.zhangjisenlab.cn/sgd/html/index.html.

To assess the expression patterns of CBLs in YT55 at low K+ stress, 1 μg RNA extracted from the roots of YT55 under low K+ stress was reverse-transcribed using the PrimeScript RT reagent kit (Monad Biotech, Suzhou, China) to cDNA. Subsequently, real-time quantitative PCR (RT-qPCR) was carried out using the cDNA and SYBR Green Realtime PCR Master Mix (TOYOBO, Japan) on an ABI 7500 real-time PCR system. The specific RT-qPCR primers of the CBLs (Table S5) were designed by online tools Integrated DNA technologies (https://sg.idtdna.com/PrimerQuest/Home/Index), utilizing two constitutively expressed genes, β-actin and the eukaryotic elongation factor 1a (eEF-1a) as an internal control to normalize the gene expression levels. Three technical replicates for each sample were conducted. The relative expression levels of each SsCBL gene in samples treated with low K+ stress for different times were calculated using the 2-Ct method [58].

Subcellular localization

According to the CDS sequence of SsCBL01, primers (Table S6) containing enzyme digestion sites were designed to amplify the full-length cDNA of SsCBL01. cDNA synthesized by reverse transcription of YT55 RNA sample under low potassium stress for 6 h was used as the template. The PCR product was recovered and fused in frame with the coding region of green fluorescent protein (GFP) in the pBWA(V) HS-Glosgfp vector, to create the SsCBL01-GFP fusion construct controlled by the CaMV 35S promoter. The binding product was converted into E. coli-competent DH5α cells. Positive clones were chosen for PCR amplification and confirmed via sequencing, then the GFP fusion construct was employed for the transient transformation in rice protoplast. The transmembrane protein OsMAC1 was fused with mCherry [59]. The OsMAC1-mCherry construct was used as a plasma membrane localization marker. GFP and RFP fluorescence signals were observed using a confocal laser microscope (Nikon C2-ER) after dark culture on MS medium at 28 °C for 48 h and examined at 488 nm/640 nm (excitation) making use of an argon laser with an emission band at 510 nm/675 nm.

Expression vector construction and heterologous expression of SsCBL01 in yeast

Cloning of the full-length cDNA of SsCBL01 was carried out using YT55 cDNA. The PCR product was recovered and was ligated using In-Fusion enzyme (TaKaRa Biotechnology Co., Ltd., Dalian, China) to the yeast expression vector pYES3/CT. The PCR products were converted into E. coli-competent JM109 cells and monoclonal colonies were selected for PCR. The plasmid confirmed to be carrying SsCBL01 and the empty vector pYES3/CT were transformed into the yeast mutant strain R5421 competent cells to screen positive colonies in SD/−trp medium. Positive yeasts were incubated in a liquid medium overnight to saturation before adjusting the yeast concentration to OD600 = 0.8. Yeast strains (R5421) with the empty vector pYES3/CT and SsCBL01 were employed for gradient dilution and inoculated in SD/−trp media containing 0 mM, 10 mM, or 100 mM KCl for 3–5 days.

Co-transformation of SsCBL01 and SsHAK1 in yeast mutant

In our previous study, we constructed the yeast expression vector pYES2.0-SsHAK1 for investigating the function of SsHAK1 [40]. To study the regulatory effect of SsCBL01 on SsHAK1, pYES2.0-SsHAK1 and pYES3/CT-SsCBL01 were co-transformed into the yeast mutant R5421 and inoculated in SD/−ura/−trp medium to screen positive strains. Yeast strains (R5421) transformed with empty vector pYES2.0, pYES2.0-SsHAK1, and pYES2.0-SsHAK1 + pYES3/CT-SsCBL01 were utilized for gradient dilution and inoculated in SC/−ura medium with 100 mM, 10 mM, or 0 mM KCl for 3–5 days.

Availability of data and materials

All RNA-seq related data can be downloaded from the sugarcane database website (http://sugarcane.zhangjisenlab.cn/sgd/html/index.html). The S. spontaneum genome project [32] was deposited into Genbank with accession numbers: QVOL00000000.

References

  1. 1.

    Rakkiyappan P, Thangavelu S, Bhagyalakshmi KV, Radhamani R. Uptake of nitrogen, phosphorus and potassium by some promising mid late maturing sugarcane clones. Sugar Tech. 2009;9:23–7.

    Article  Google Scholar 

  2. 2.

    Liu J, Zhu JK. A calcium sensor homolog required for plant salt tolerance. Science (New York, NY). 1998;280:1943–5.

    CAS  Article  Google Scholar 

  3. 3.

    Luan S. The CBL–CIPK network in plant calcium signaling. Trends Plant Sci. 2009;14:37–42.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  4. 4.

    Gu Z, Ma B, Jiang Y, Chen Z, Su X, Zhang H. Expression analysis of the calcineurin B-like gene family in rice (Oryza sativa L.) under environmental stresses. Gene. 2008;415:1–12.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  5. 5.

    Kolukisaoglu Ü, Weinl S, Blazevic D, Batistic 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.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  6. 6.

    Lu T, Zhang G, Sun L, Wang J, Hao F. Genome-wide identification of CBL family and expression analysis of CBLs in response to potassium deficiency in cotton. Peer J. 2017;5:e3653.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  7. 7.

    Zhang C, Bian M, Yu H, Liu Q, Yang Z. Identification of alkaline stress-responsive genes of CBL family in sweet sorghum (sorghum bicolor L.). Plant Physiol Biochem. 2011;49:1306–12.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  8. 8.

    Zhang F, Li L, Jiao Z, Chen Y, Liu H, Chen X, et al. Characterization of the calcineurin B-like (CBL) gene family in maize and functional analysis of ZmCBL9 under abscisic acid and abiotic stress treatments. Plant Sci. 2016;253:118–29.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  9. 9.

    Zhang H, Yin W, Xia X. Calcineurin B-like family in Populus: comparative genome analysis and expression pattern under cold, drought and salt stress treatment. Plant Growth Regul. 2008;56:129–40.

    CAS  Article  Google Scholar 

  10. 10.

    Gifford JL, Walsh MP, Vogel HJ. Structures and metal-ion-binding properties of the Ca2+-binding helix–loop–helix EF-hand motifs. Biochem J. 2007;405:199–221.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  11. 11.

    Batistič O, Kudla J. Plant calcineurin B-like proteins and their interacting protein kinases, Biochimica et Biophysica Acta (BBA)-molecular. Cell Res. 2009;1793:985–92.

    Google Scholar 

  12. 12.

    Popescu SC, Popescu GV, Bachan S, Zhang Z, Seay M, Gerstein M, et al. Differential binding of calmodulin-related proteins to their targets revealed through high-density Arabidopsis protein microarrays. Proc Natl Acad Sci. 2007;104:4730–5.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  13. 13.

    Mao J, Manik S, Shi S, Chao J, Jin Y, Wang Q, et al. Mechanisms and physiological roles of the CBL-CIPK networking system in Arabidopsis thaliana. Genes. 2016;7:62.

    PubMed Central  Article  CAS  Google Scholar 

  14. 14.

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

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  15. 15.

    Li L, Kim BG, Cheong YH, Pandey GK, Luan S. A Ca2+ signaling pathway regulates a K+ channel for low-K response in Arabidopsis. Proc Natl Acad Sci. 2006;103:12625–30.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  16. 16.

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

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  17. 17.

    Cheong YH, Pandey GK, Grant JJ, Batistic O, Li L, Kim BG, et al. Two calcineurin B-like calcium sensors, interacting with protein kinase CIPK23, regulate leaf transpiration and root potassium uptake in Arabidopsis. Plant J. 2007;52:223–39.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  18. 18.

    Drerup MM, Schlücking K, Hashimoto K, Manishankar P, Steinhorst L, Kuchitsu K, et al. The calcineurin B-like calcium sensors CBL1 and CBL9 together with their interacting protein kinase CIPK26 regulate the Arabidopsis NADPH oxidase RBOHF. Mol Plant. 2013;6:559–69.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  19. 19.

    Fuglsang AT, Guo Y, Cuin TA, Qiu Q, Song C, Kristiansen KA, et al. Arabidopsis protein kinase PKS5 inhibits the plasma membrane H+-ATPase by preventing interaction with 14-3-3 protein. Plant Cell. 2007;19:1617–34.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  20. 20.

    Kanczewska J, Marco S, Vandermeeren C, Maudoux O, Rigaud J-L, Boutry M. Activation of the plant plasma membrane H+-ATPase by phosphorylation and binding of 14-3-3 proteins converts a dimer into a hexamer. Proc Natl Acad Sci. 2005;102:11675–80.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  21. 21.

    Tang RJ, Zhao FG, Garcia VJ, Kleist TJ, Yang L, Zhang HX, et al. Tonoplast CBL–CIPK calcium signaling network regulates magnesium homeostasis in Arabidopsis. Proc Natl Acad Sci. 2015;112:3134–9.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  22. 22.

    Steinhorst L, Mähs A, Ischebeck T, Zhang C, Zhang X, Arendt S, et al. Vacuolar CBL-CIPK12 Ca2+-sensor-kinase complexes are required for polarized pollen tube growth. Curr Biol. 2015;25:1475–82.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  23. 23.

    Held K, Pascaud F, Eckert C, Gajdanowicz P, Hashimoto K, Corratgé-Faillie C, 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;21:1116–30.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  24. 24.

    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. Proc Natl Acad Sci. 2002;99:8436–41.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  25. 25.

    Kim BG, Waadt R, Cheong YH, Pandey GK, Dominguez-Solis JR, Schültke S, et al. The calcium sensor CBL10 mediates salt tolerance by regulating ion homeostasis in Arabidopsis. Plant J. 2007;52:473–84.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  26. 26.

    Martínez-Atienza J, Jiang X, Garciadeblas B, Mendoza I, Zhu JK, Pardo JM, et al. Conservation of the salt overly sensitive pathway in rice. Plant Physiol. 2007;143:1001–12.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  27. 27.

    Li J, Long Y, Qi GN, Xu ZJ, Wu WH, Wang Y. The Os-AKT1 channel is critical for K+ uptake in rice roots and is modulated by the rice CBL1-CIPK23 complex. Plant Cell. 2014;26:3387–402.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  28. 28.

    Garsmeur O, Droc G, Antonise R, Grimwood J, Potier B, Aitken K, et al. A mosaic monoploid reference sequence for the highly complex genome of sugarcane. Nat Commun. 2018;9:1–10.

    CAS  Article  Google Scholar 

  29. 29.

    D'Hont A, Ison D, Alix K, Roux C, Glaszmann JC. Determination of basic chromosome numbers in the genus Saccharum by physical mapping of ribosomal RNA genes. Genome. 1998;41:221–5.

    CAS  Article  Google Scholar 

  30. 30.

    D'Hont A, Grivet L, Feldmann P, Glaszmann J, Rao S, Berding N. Characterisation of the double genome structure of modern sugarcane cultivars (Saccharum spp.) by molecular cytogenetics. Mol Gen Genet MGG. 1996;250:405–13.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  31. 31.

    Piperidis G, Piperidis N, D’Hont A. Molecular cytogenetic investigation of chromosome composition and transmission in sugarcane. Mol Gen Genomics. 2010;284:65–73.

    CAS  Article  Google Scholar 

  32. 32.

    Zhang J, Zhang X, Tang H, Zhang Q, Hua X, Ma X, et al. Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L. Nat Genet. 2018;50:1565–73.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  33. 33.

    Mohanta TK, Mohanta N, Mohanta YK, Parida P, Bae H. Genome-wide identification of Calcineurin B-like (CBL) gene family of plants reveals novel conserved motifs and evolutionary aspects in calcium signaling events. BMC Plant Biol. 2015;15:189.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  34. 34.

    Linder ME, Deschenes RJ. Palmitoylation: policing protein stability and traffic. Nat Rev Mol Cell Biol. 2007;8:74–84.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  35. 35.

    Xu G, Guo C, Shan H, Kong H. Divergence of duplicate genes in exon–intron structure. Proc Natl Acad Sci. 2012;109:1187–92.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  36. 36.

    Sharp PA. Speculations on RNA splicing. Cell. 1981;23:643–6.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  37. 37.

    Nozawa A, Koizumi N, Sano H. An Arabidopsis SNF1-related protein kinase, AtSR1, interacts with a calcium-binding protein, AtCBL2, of which transcripts respond to light. Plant Cell Physiol. 2001;42:976–81.

    CAS  PubMed  Article  Google Scholar 

  38. 38.

    Mohanta TK, Bashir T, Hashem A, E.F. Abd_Allah, A.L. Khan, A.S. Al-Harrasi. Early events in plant abiotic stress signaling: interplay between calcium, reactive oxygen species and phytohormones. J Plant Growth Regul. 2018;37:1033–49.

    CAS  Article  Google Scholar 

  39. 39.

    Zhang M, Liang X, Wang L, Cao Y, Song W, Shi J, et al. A HAK family Na+ transporter confers natural variation of salt tolerance in maize. Nat Plants. 2019;5:1297–308.

    CAS  PubMed  Article  Google Scholar 

  40. 40.

    Feng X, Wang Y, Zhang N, Wu Z, Zeng Q, Wu J, et al. Genome-wide systematic characterization of the HAK/KUP/KT gene family and its expression profile during plant growth and in response to low-K+ stress in Saccharum. BMC Plant Biol. 2020;20:1–17.

    Article  CAS  Google Scholar 

  41. 41.

    Jiao Y, Wickett NJ, Ayyampalayam S, Chanderbali AS, Landherr L, Ralph PE, et al. Ancestral polyploidy in seed plants and angiosperms. Nature. 2011;473:97–100.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  42. 42.

    Ren R, Wang H, Guo C, Zhang N, Zeng L, Chen Y, et al. Widespread whole genome duplications contribute to genome complexity and species diversity in angiosperms. Mol Plant. 2018;11:414–28.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  43. 43.

    Tang H, Bowers JE, Wang X, Ming R, Alam M, Paterson AH. Synteny and collinearity in plant genomes. Science (New York, NY). 2008;320:486–8.

    CAS  Article  Google Scholar 

  44. 44.

    Vision TJ, Brown DG, Tanksley SD. The origins of genomic duplications in Arabidopsis. Science (New York, NY). 2000;290:2114–7.

    CAS  Article  Google Scholar 

  45. 45.

    Tang H, Bowers JE, Wang X, Paterson AH. Angiosperm genome comparisons reveal early polyploidy in the monocot lineage. Proc Natl Acad Sci. 2010;107:472–7.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  46. 46.

    Ming R, VanBuren R, Wai CM, Tang H, Schatz MC, Bowers JE, et al. The pineapple genome and the evolution of CAM photosynthesis. Nat Genet. 2015;47:1435–42.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  47. 47.

    De Bodt S, Maere S, Van de Peer Y. Genome duplication and the origin of angiosperms. Trends Ecol Evol. 2005;20:591–7.

    PubMed  Article  PubMed Central  Google Scholar 

  48. 48.

    Ren XL, Qi GN, Feng HQ, Zhao S, Zhao SS, Wang Y, et al. Calcineurin B-like protein CBL 10 directly interacts with AKT1 and modulates K+ homeostasis in Arabidopsis. Plant J. 2013;74:258–66.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  49. 49.

    Boscari A, Clement M, Volkov V, Golldack D, Hybiak J, Miller AJ, et al. Potassium channels in barley: cloning, functional characterization and expression analyses in relation to leaf growth and development. Plant Cell Environ. 2009;32:1761–77.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  50. 50.

    Lee SC, Lan WZ, Kim BG, Li L, Cheong YH, Pandey GK, et al. A protein phosphorylation/dephosphorylation network regulates a plant potassium channel. Proc Natl Acad Sci. 2007;104:15959–64.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  51. 51.

    Ragel P, Ródenas R, García-Martín E, Andrés Z, Villalta I, Nieves-Cordones M, et al. The CBL-interacting protein kinase CIPK23 regulates HAK5-mediated high-affinity K+ uptake in Arabidopsis roots. Plant Physiol. 2015;169:2863–73.

    CAS  PubMed  PubMed Central  Google Scholar 

  52. 52.

    Zhang Q, Hu W, Zhu F, Wang L, Yu Q, Ming R, et al. Structure, phylogeny, allelic haplotypes and expression of sucrose transporter gene families in Saccharum. BMC Genomics. 2016;17:88.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  53. 53.

    Chen C, Chen H, Zhang Y, Thomas HR, Frank MH, He Y, and Xia R. TBtools: An Integrative toolkit developed for interactive analyses of big biological data. Molecular Plant. 2020;13:1194–202.

  54. 54.

    Larkin MA, Blackshields G, Brown NP, Chenna R, McGettigan PA, McWilliam H, et al. Clustal W and Clustal X version 2.0. Bioinformatics (Oxford, England). 2007;23:2947–8.

    CAS  Article  Google Scholar 

  55. 55.

    Kumar S, Stecher G, Tamura K. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016;33:1870–4.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  56. 56.

    Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4:406–25.

    CAS  PubMed  PubMed Central  Google Scholar 

  57. 57.

    Haas BJ, Papanicolaou A, Yassour M, Grabherr M, Blood PD, Bowden J, et al. De novo transcript sequence reconstruction from RNA-seq using the trinity platform for reference generation and analysis. Nat Protoc. 2013;8:1494–512.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  58. 58.

    Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2− ΔΔCT method. Methods. 2001;25:402–8.

    CAS  Article  Google Scholar 

  59. 59.

    Kurusu T, Nishikawa D, Yamazaki Y, Gotoh M, Nakano M, Hamada H, et al. Plasma membrane protein OsMCA1 is involved in regulation of hypo-osmotic shock-induced Ca2+ influx and modulates generation of reactive oxygen species in cultured rice cells. BMC Plant Biol. 2012;12:11.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

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Acknowledgments

We kindly thank the Center for Genomics and Biotechnology, Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University for providing access to sugarcane omics data. The authors gratefully acknowledge Professor Guohua Xu from Nanjing Agricultural University for providing the yeast mutant strain.

Funding

This research is financially supported by GDAS’ Project of Science and Technology Development (2019GDASYL-0103028, used to purchase reagents and consumables for this study); Guangzhou Science and Technology Plan Project (202102020391, used to purchase reagents and consumables for this study); National Key Research and Development Program of China (2018YFD1000503, used for labor cost of sugarcane cultivation and management); Special Project for Research and Development in Key areas of Guangdong Province (2019B020238001, used for travel expenses between Guangzhou and Fuzhou to perform yeast expression experiment); Guangxi Key Laboratory Construction Project (20–065-24-K-04-01, used for article polishing of this manuscript); and National Natural Science Foundation of China (31901512, used to purchase reagents and consumables for this study).

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XF, JZ and YQ conceived the study and designed the experiments. XF, YW, NZ, SG and JW carried out the experiments and analyzed the data. XF wrote the manuscript. JZ, YQ, RL and YH revised and improved the manuscript. All authors reviewed and approved this submission.

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Correspondence to Yongwen Qi.

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Feng, X., Wang, Y., Zhang, N. et al. Comparative phylogenetic analysis of CBL reveals the gene family evolution and functional divergence in Saccharum spontaneum. BMC Plant Biol 21, 395 (2021). https://0-doi-org.brum.beds.ac.uk/10.1186/s12870-021-03175-3

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Keywords

  • CBL
  • Evolution
  • S. spontaneum
  • Low K+ stress
  • Gene expression