Abstract
Background
Soil salinity causes huge economic losses to agriculture productivity in arid and semiarid areas worldwide. The affected plants face disturbances in osmotic adjustment, nutrient transport, ionic toxicity and reduced photosynthesis. Conventional breeding approaches produce little success in combating various stresses in plants. However, non-conventional approaches, such as in vitro tissue culturing, produce genetic variability in the development of salt-tolerant plants, particularly in woody trees.
Results
Embryogenic callus cultures of the date palm cultivar Khalas were subjected to various salt levels ranging from 0 to 300 mM in eight subcultures. The regenerants obtained from the salt-treated cultures were regenerated and evaluated using the same concentration of NaCl with which the calli were treated. All the salt-adapted (SA) regenerants showed improved growth characteristics, physiological performance, ion concentrations and K+/Na+ ratios than the salt non-adapted (SNA) regenerants and the control. Regression between the leaf Na+ concentration and net photosynthesis revealed an inverse nonlinear correlation in the SNA regenerants. Leaf K+ contents and stomatal conductance showed a strong linear relationship in SA regenerants compared with the inverse linear correlation, and a very poor coefficient of determination in SNA regenerants. The genetic fidelity of the selected SA regenerants was also tested using 36 random amplified polymorphic DNA (RAPD) primers, of which 26 produced scorable bands. The primers generated 1–10 bands, with an average of 5.4 bands per RAPD primer; there was no variation between SA regenerants and the negative control.
Conclusion
This is the first report of the variants generated from salt-stressed cultures and their potential adaptation to salinity in date palm cv. Khalas. The massive production of salt stress-adapted date palm plants may be much easier using the salt adaptation approach. Such plants can perform better during exposure to salt stress compared to the non-treated date palm plants.
Keywords: Date palm, Tissue culture, Salt stress, Ion relation, K+/Na+, Photosynthesis, Regenerants
Background
Worldwide, agriculture is affected by a number of biotic and abiotic stresses, including salinity [13, 45]. The inhibitory effects of soil salinity include osmotic stress, nutritional disparities and ion toxicity, resulting in the reduction of photosynthesis and other physiological disorders [58]. Moreover, salt stress is considered a principal abiotic stress and has been the focus of in vitro selection and applications [51]. Currently, these methods represent a key complement to classical breeding methods [61].
It has consistently been a challenging task to develop plants with improved economic yield and performance under various abiotic stresses [20]. Variations in growth and yield response have been reported in a number of species such as fruit crops [19] and potato [36] to develop salt-tolerant lines. However, the complex nature of salinity stresses makes investigations more challenging. Inter-species and inter-genera transfer of salt stress tolerance traits through conventional breeding have been employed with little success to improve the genetic base of crop plants against salt stress [51].
Among the nonconventional breeding methods, tissue and cell culture offer great promises for crop improvement against salt stress [22, 25]. Many researchers have described drought and salt-tolerant lines and regenerated plants using in vitro techniques in a number of plant species [1, 12, 16, 22]. However, the genotypic differences of the plants regenerated from the calli also depends on the source of the explant used [26].
Date palm (Phoenix dactylifera L.) tree belongs to the Palmaceae (Arecaceae) family and inhabits tropical and subtropical habitats, particularly the Middle East. Date palm is tolerant to a number of abiotic stresses such as salinity, sodicity, drought and high temperature [59]. However, variation in tolerance is observed among different varieties/cultivars growing within an area [4, 40]. The tissue culture technique has been widely used for mass commercial production of date palm through date palm off-shoot micropropagation. Additionally, several physiological studies related to environmental stresses [7] and plant responses [7, 14] have also been conducted in date palm. Al-Khateeb and Al-Khateeb [7] found significant differences among five date palm cultivars in salinity tolerance by studying Na+, Cl−, Ca2+ and K+ accumulation. While studying salinity in date palm, Al-Khateeb and Al-Khateeb [9] also observed the K+/Na+ ratio in the growth medium plays an important role in ameliorating the adverse effects of salinity. These results reflect the possibility of using an in vitro technique for further evaluating the date palm cultivars under salinity stress. The ability of cultured cells to adapt to salinity is widespread among plant species and is expressed at the tissue and whole plant level [36]. Date palm plants have the potential to gradually adapt to salinity, which would be lethal if the exposure is sudden [11]. The introduction of abiotic and biotic stress tolerance traits through somaclonal variation is economically very important in date palm [29]. It may also help to widen the genetic base of date palm to cope with salinity stress. The roles of different biochemical, physiological and DNA-based molecular markers are very significant in the estimation of somaclonal variations during in vitro culturing [2, 48]. DNA-based molecular markers, including restriction fragment length polymorphisms (RFLPs and amplified fragment length polymorphisms (AFLPs, are routinely used, however, the requirement for expensive restriction enzymes and radiolabeled probes make these techniques unsuitable for routine diagnostics [17]. Comparatively, random amplified polymorphic DNA (RAPD) markers provide a rapid, cheaper and reliable technique to identify genetic changes during in vitro culturing [56].
Keeping in mind the potential of the methodology to obtain potential stress-tolerant variants, the aims of the present studies were to (i) obtain regenerated salt-tolerant plants by subjecting the calli of date palm cv. Khalas to various salt levels and (ii) evaluate these regenerants for different morphological, physiological parameters and genetic stability.
Materials and methods
These studies were undertaken at the Department of Agriculture Biotechnology and the Department of Environment and Natural Resources, College of Agriculture and Food Sciences, King Faisal University, Saudi Arabia.
Callus induction
Embryogenic calli (1000 mg for each treatment) were obtained from the date palm cultivar Khalas using the method previously described by Al-Khateeb and Al-Khateeb [9]. The callus cultures were transferred to the basal media for plant regeneration as described by Al-Khateeb and Al-Khateeb [8] and root induction as described by Al-Khateeb [5].
In vitro salt selection
The embryogenic calli were grown in 0, 100, 200, 300, and 400 mM sodium chloride (NaCl) in Murashige and Skoog medium (MS-medium) [46]. Calli were subjected to two protocols to induce stress. One portion of the calli (four replicates in each treatment) was transferred directly to 0, 100, 200, 300 and 400 mM NaCl. The other portion was subjected to a stepwise treatment with various concentrations of NaCl (four replicates in each treatment). The increment started with 50 mM salt treatment every passage for 4 weeks. The salt level was increased by 50 mM, i.e., from 0 to 50, 50 to 100, 100 to 150, 150 to 200, 200 to 250 and 250 to 300 mM every passage over a four-week duration. The data for 400 mM NaCl treatment was not included due to completely impaired growth of the embryogenic calli. After six passages, the embryogenic calli were cultured on regeneration medium without NaCl to obtain the regenerants. No calli survived due to direct exposure to high concentration of NaCl, and therefore, only the results for the stepwise increments are presented and discussed.
Plant rooting and regeneration
The salt-selected calli were then subjected to regeneration medium as explained by Al-Khateeb and Al-Khateeb [8] to obtain plantlets from the respective salt treatments. The obtained regenerants were then subjected to salt stress at the respective salt levels of 100, 200 and 300 mM for eight weeks to test their salt tolerance at the whole plant level. Two types of regenerants were obtained: regenerants obtained from calli treated with salt in stepwise increments, named salt-adapted (SA) regenerants, regenerants obtained from NaCl-free medium and treated with the same salt concentrations, named salt non-adapted (SNA) regenerants. In total, twelve regenerants were obtained for each group of SA and SNA regenerants, respectively.
Gas exchange analysis
Photosynthesis (A), transpiration rate (E), stomatal conductance (gs) and intercellular CO2 (Ci) were measured from two leaves of four different plants per treatment using an Infra-Red Gas analyser (CI-301 CO2 Gas Analyzer, CID Inc. USA) and calculated according to von Caemmerer and Farquhar [57]. Mesophyll conductance (gm), which is a composite measure of all the liquid phase conductance of CO2 (cell wall, plasmalemma, cytoplasm, chloroplast membrane) as well as of the conductance associated with carboxylation [18] was calculated as follows: gm = A/Ci [24]. The water use efficiency (WUE) was calculated using the following formula: WUE = A/E.
Ion relation analysis
Plant parts were separated into shoots and roots. The shoots were washed twice in distilled water. The ions were removed from the free spaces around the roots as described by Al-Khateeb et al. [9] for two min in isotonic sorbitol solution for each of the various treatment concentrations. Fresh leaves and roots of approximately 500 mg were homogenized using a mortar and pestle and extracted in a 25-ml volumetric flask in distilled deionized water at 90 °C for four hrs. The Na+ and K+ in leaves of the SA and SNA regenerants were determined using a GBS 905 Atomic Absorption Spectrophotometer (Shamatzo Inc., Japan) and expressed as relative values. For Na+, the final diluted solutions contained 0.1 KCl to control ionization, while for Ca+ and Mg+, the final diluted solutions contained 1% lanthanum chloride to reduce interference. The nutrient composition results were calculated and presented on a fresh water value basis. To determine the dry weights, leaves and roots were dried at 85 °C for 48 h.
Total genomic DNA isolation
Total genomic DNA was isolated from micropropagated SA plantlets under three NaCl treatments, i.e., 100 mM, 200 mM and 300 mM, including control plants, using a plant DNA-miniprep protocol-modified from Arif et al. [15]. Briefly, 100–150 mg of freshly harvested date palm leaves were placed in a sterile mortar. Sterile sand (100 mg) and 500 µl of lysis buffer (0.1 M Tris–HCl (pH 8.0), 0.05 M EDTA, 0.5 M NaCl and 0.01 M β-mercaptoethanol) were added, and the plant material was finely crushed using a mortar and pestle. The crushed leaf material was transferred to a sterile Eppendorf tube (1.5 ml), followed by an additional 1000 µl of lysis buffer and vigorous vortexing. The leaf extracts were then incubated at ~ 65 °C for 30 min with occasional mixing. After incubation at room temperature, the tubes were centrifuged at 12,000 rpm for 5 min. The supernatant (~ 200 µl) was carefully transferred to a new tube, and an equal volume of chloroform:isoamyl alcohol (24:1) was added. The tubes were mixed well with gentle shaking and centrifuged at 12,000 rpm for 5 min at room temperature. The supernatant (200 µl) was transferred to a new tube, and the DNA was precipitated with cold isopropanol (500 µl). All tubes were kept at − 80 °C for 30 min followed by centrifugation at 12,000 rpm for 10 min. All the supernatant was discarded, and the DNA pellet was washed with 70% cold ethanol. The pellet was air-dried at room temperature, and the DNA was dissolved in 50 µl MilliQ water. The DNA was quantified, and the quality was analyzed by separating 2.0 µl of total genomic DNA by 1% agarose gel electrophoresis in 0.5 TAE buffer. The DNA was stored at − 20 °C for further downstream applications.
RAPD-PCR analysis of genomic DNA
RAPD amplification was performed in a total reaction volume of 25 µl including template DNA (~ 50–100 ng), 2.5 µl of 10 pmol of 10-mer oligo-deoxynucleotide primer (Operon Technologies, Alameda, California) (Table-6), 2.5 µl of dNTPs (0.4 mM each), DreamTaq DNA polymerase (ThermoScientific) and 2.5 µl DreamTaq buffer (10x). PCR was performed in a thermal cycler (Bio-Rad) with initial denaturation at 95 °C for 5 min, 35 cycles of 95 °C for 35 s, 36 °C for 35 s, 72 °C for 2 min, and a final extension at 72 °C for 5 min. The PCR products were separated in a 1% agarose gel using 0.5× TAE buffer. The sizes of all amplicons were confirmed by comparison to a 1 kb DNA ladder (Takara).
Statistical analysis
A completely randomized design was used with seven treatments and four replications per treatment. Analysis of variance was used to observe the significance between mean values. Duncan's multiple range test (DMRT) was used to compare the means at P < 0.05 [55]. SAS Statistical software (SAS, 2011) was used for all statistical analyses. The relationships between the selected characters were analyzed using simple nonlinear regression analysis available in Microsoft Excel.
Results
Selection of regenerants
In this experiment, four replicates for each treatment were used for morphological, physiological and biochemical studies. Four plants each were obtained as control and all other treatments, respectively from embryogenic calli grown in salt-free MS medium.
Response of regenerants to NaCl stress (morphological characters)
Significant variations were observed in most of the morphological and physiological characters (Table 1). The data revealed that SNA regenerants produced more roots than SA regenerants in response to three NaCl levels, i.e., 100, 200 and 300 mM. The maximum number of roots were obtained only for SNA regenerants at 100 mM NaCl compared to the control. The SA regenerants produced maximum number of leaves (4.5) at 200 and 300 mM NaCl compared to the SNA regenerants (Table 1). Similarly, the SA regenerants produced significantly longer leaf lengths at 300 mM NaCl compared to the SNA regenerants and the control. The SNA regenerants had a greater leaf thickness than SA regenerants; however, with an increase in the salinity level to 300 mM, the leaf thickness of the SA regenerants was improved compared with the SNA regenerants.
Table 1.
Regenerants/characters | Salt levels (mM NaCl) | Number of roots | Number of leaves | Leaf length (cm | Leaf thickness |
---|---|---|---|---|---|
Control | 0 | 4.0 ± 1.8b | 3.5 ± 0.6bc | 13.3 ± 1.3c | 0.75 ± 0.24a |
Salt Non-adapted (SNA) | 100 | 5.3 ± 0.5a | 3.0 ± 0.0 cd | 24.4 ± 2.4b | 0.58 ± 0.06b |
200 | 3.8 ± 0.9b | 4.0 ± 0.8ab | 25.6 ± 4.5b | 0.62 ± 0.11ab | |
300 | 2.8 ± 0.5bc | 2.8 ± 0.5d | 25.2 ± 4.5b | 0.34 ± 0.6c | |
Salt adapted (SA) | 100:100 | 1.5 ± 0.6d | 3.0 ± 0.0 cd | 28.5 ± 3.0ab | 0.29 ± 0.03c |
200:200 | 2.8 ± 0.5bc | 4.5 ± 0.6a | 26.5 ± 3.6ab | 0.30 ± 0.04c | |
300:300 | 1.8 ± 0.5 cd | 4.5 ± 0.6a | 30.8 ± 5.2a | 0.36 ± 0.06c |
Means followed by the same letter(s) are not significantly different at the 5% level of probability
Response of regenerants to NaCl stress (growth characteristics)
The growth characteristics of both the SNA and SA regenerants improved significantly in response to 200 and 300 mM NaCl as compared to 100 mM NaCl. However, the SA regenerants performed better than the SNA regenerants, with very consistent results at all salinity levels. The root dry weight of SA regenerants consistently showed greater improvement compared with the SNA regenerants. The SA regenerants showed improved growth, as evidenced based on most of the growth parameters used at the respective salt concentrations (Table 2).
Table 2.
Regenerants/characters | Shoot dry weight (g) | Root dry weight (g) | Total dry weight (g) | Dry weight shoot/root ratio | |
---|---|---|---|---|---|
Control | 0 | 0.795 ± 0.181a | 0.365 ± 0.117a | 1.160 ± 0.253a | 2.18 ± 0.661a |
Salt non-adapted (SNA) | 100 | 0.222 ± 0.022c | 0.180 ± 0.018d | 0.403 ± 0.040e | 1.23 ± 0.002b |
200 | 0.690 ± 0.075a | 0.289 ± 0.051bc | 0.980 ± 0.094b | 2.44 ± 0.423a | |
300 | 0.460 ± 0.082b | 0.306 ± 0.055ab | 0.766 ± 0.137c | 1.50 ± 0.001b | |
Salt adapted (SA) | 100:100 | 0.267 ± 0.029c | 0.241 ± 0.026bcd | 0.509 ± 0.054de | 1.11 ± .0.001b |
200:200 | 0.300 ± 0.042c | 0.231 ± 0.032 cd | 0.531 ± 0.073de | 1.30 ± 0.001b | |
300:300 | 0.328 ± 0.055c | 0.292 ± 0.049bc | 0.620 ± 0.104 cd | 1.12 ± 0.001b |
Means followed by the same letter(s) are not significantly different at the 5% level of probability
Response of regenerants to NaCl stress (biochemical characters)
Leaf ion concentrations
The effect of salt stress was also determined for the leaf ions Na+, K+, Ca+, and Mg+ and the K+/Na+ ratio in both SNA and SA regenerants (Table 3). Significant variations were observed in the SNA regenerants and SA regenerants for Na+ accumulation under salt stress conditions. All SA regenerants accumulated less Na+ under salt stress conditions compared with the respective SNA regenerants at all NaCl concentrations (Table 3). A gradual decline was also observed in K+, Ca+ and Mg+ concentrations in all SA regenerants compared with SNA regenerants. The minimum K+ (33.1 µgg−1) was recorded in SA regenerants compared to 88.6 µgg−1 K+ in SNA regenerants at 300 mM NaCl (Table 3). A similar trend was also observed for the Ca+ and Mg+ contents.
Table 3.
Regenerants/characters | NaCl (mM) | Na+ | K+ | Ca2+ | Mg2+ | K+/Na+ ratio |
---|---|---|---|---|---|---|
Control | 0 | 70.8 ± 11.90f | 102.3 ± 12.1a | 75.8 ± 7.9b | 30.0 ± 3.6a | 1.482 ± 0.324a |
Salt non-adapted (SNA) | 100 | 198.6 ± 8.90d | 83.9 ± 3.4b | 141.6 ± 5.8a | 7.1 ± 0.3bc | 0.422 ± 0.000bc |
200 | 324.0 ± 16.4b | 64.4 ± 3.3c | 63.9 ± 3.2c | 5.4 ± 0.3c | 0.199 ± 0.000d | |
300 | 536.3 ± 18.1a | 88.6 ± 3.0b | 139.8 ± 4.7a | 7.4 ± 0.2b | 0.165 ± 0.000d | |
Salt adapted (SA) | 100:100 | 173.8 ± 4.90e | 42.3 ± 2.8e | 36.5 ± 2.4d | 8.0 ± 0.5b | 0.573 ± 0.001b |
200:200 | 236.5 ± 14.3c | 54.2 ± 3.3d | 62.2 ± 3.8c | 6.3 ± 0.4bc | 0.229 ± 0.000 cd | |
300:300 | 240.8 ± 9.00c | 33.1 ± 1.2f | 33.4 ± 1.2d | 6.2 ± 0.2bc | 0.137 ± 0.000d |
Means followed by the same letter(s) are not significantly different at the 5% level of probability
The highest K+/Na+ ratio (1.482) was observed in the control plants compared with all the SNA regenerants and SA, while the lowest 0.14 K+/Na+ ratio was recorded in the SA regenerants at 300 mM NaCl (Table 3). The K+/Na+ ratios of SA regenerants were significantly higher compared with the SNA regenerants in the presence of 100 and 200 mM NaCl.
Root ion concentrations
The root Na+, K+, Ca2+ and Mg2+ contents were also determined in SNA and SA regenerants at all salinity levels. An increasing trend was observed for the accumulation of Na+ contents in SNA and SA regenerants with increasing salinity. All SA regenerants accumulated lower Na+ contents in their roots compared to SNA regenerants (Table 4).
Table 4.
Regenerants/characters | NaCl (mM) | Na+ | K+ | Ca+ | Mg | K+/Na+ ratio |
---|---|---|---|---|---|---|
Control | 0 | 62.5 ± 7.5f | 88.5 ± 6.4a | 88.0 ± 7.3b | 14.0 ± 2.6a | 1.432 ± 0.204a |
Salt non-adapted (SNA) | 100 | 90.2 ± 3.7d | 44.3 ± 1.8e | 84.5 ± 4.7c | 5.6 ± 0.2f | 0.491 ± 0.000c |
200 | 113.4 ± 5.7c | 85.3 ± 4.4ab | 73.5 ± 3.7d | 10.1 ± 0.5b | 0.752 ± 0.000b | |
300 | 160.7 ± 5.4a | 54.4 ± 1.8d | 90.5 ± 3.0a | 6.0 ± 0.2e | 0.339 ± 0.000d | |
Salt adapted (SA) | 100:100 | 82.1 ± 5.5e | 68.0 ± 4.5c | 50.1 ± 3.3e | 4.4 ± 0.3 g | 0.828 ± 0.001b |
200:200 | 112.2 ± 6.8c | 81.9 ± 4.9b | 49.1 ± 3.0e | 9.1 ± 0.6c | 0.730 ± 0.000b | |
300:300 | 125.8 ± 4.7b | 67.9 ± 2.6c | 28.8 ± 1.1f | 7.7 ± 0.3d | 0.539 ± 0.000c |
Means followed by the same letter(s) are not significantly different at the 5% level of probability
In contrast, the K+, Ca2+ and Mg2+ concentrations were significantly reduced with increasing salinity levels in both SNA and SA regenerants. The K+ and Mg+ concentrations were significantly higher in the roots of SA compared with SNA regenerants at all salinity levels. However, the Ca+ accumulation was significantly enhanced in the roots of SNA than SA regenerants under the same salinity levels (Table 4).
The K+/Na+ ratio was significantly greater in SA compared with SNA regenerants at all salinity levels. The K+/Na+ ratio in the roots of SNA regenerants was dramatically reduced with increasing salinity. Comparatively, the SA regenerants maintained a consistent K+/Na+ ratio under increasing salt concentrations, showing better performance than the SNA regenerants.
Response of regenerants to NaCl stress (gas exchange capacity)
The effect of salinity on the photosynthesis (A), transpiration rate (€), stomatal conductance (gs), mesophyll conductance (gm) and internal CO2 concentration (Ci) was also studied. The data revealed that increasing salt levels significantly decreased the photosynthesis, transpiration rate, water use efficiency (WUE) and stomatal conductance (Table 5) in SNA regenerants and SA regenerants.
Table 5.
Regenerants/characters | NaCl (mM) | Photosynthesis rate (µmol/m2/s) | Transpiration rate (mmol/m2/s) | Stomatal conductance (mmol/m2/s) (gs) | Mesophyll conductance (mmol/m2/s) (gm) | Internal CO2 (µmol/mol | WUE (µmol/mmol |
---|---|---|---|---|---|---|---|
Control | 0 | 6.13 ± 0.80a | 1.35 ± 0.233a | 37.58 ± 14.13a | 44.7 ± 11.4a | 142.0 ± 29.9bc | 4.60 ± 0.74d |
Salt non-adapted (SNA) | 100 | 4.79 ± 0.56bc | 0.74 ± 0.111b | 26.98 ± 4.32b | 33.3 ± 9.2ab | 148.1 ± 23.7bc | 6.49 ± 0.22 cd |
200 | 3.87 ± 1.46c | 0.47 ± 0.210 cd | 21.75 ± 6.28bc | 19.8 ± 9.6bc | 205.7 ± 30.8b | 9.87 ± 5.83bc | |
300 | 4.24 ± 0.17c | 0.34 ± 0.058de | 11.15 ± 2.44d | 11.6 ± 3.9c | 389.9 ± 95.2a | 13.03 ± 2.90b | |
Salt adapted (SA) | 100:100 | 4.48 ± 0.51c | 0.69 ± 0.060bc | 15.45 ± 2.33 cd | 40.0 ± 3.3a | 111.9 ± 9.1c | 6.53 ± 0.73 cd |
200:200 | 5.65 ± 0.44ab | 0.58 ± 0.190bcd | 17.90 ± 7.93bcd | 41.0 ± 17.4a | 160.8 ± 69.0bc | 10.37 ± 2.92bc | |
300:300 | 4.64 ± 0.46bc | 0.21 ± 0.029e | 13.35 ± 1.05 cd | 32.1 ± 2.4ab | 210.7 ± 13.1b | 22.55 ± 4.41a |
Means followed by the same letter(s) are not significantly different at the 5% level of probability
The SA regenerants showed a significantly better photosynthetic rate, stomatal conductance and mesophyll conductance than the SNA regenerants (Table 5). The stomatal and mesophyll conductance increased significantly with increasing salinity in the SA regenerants and vice versa compared to the SNA regenerants. The transpiration rate and internal CO2 were significantly higher in the SNA regenerants compared with the SA regenerants. At the highest salinity level (300 mM NaCl), the intercellular CO2 concentration of SNA and SA regenerants was 389.9 and 210.7 µmol/mol, respectively. Similarly, the stomatal and mesophyll conductance responded differently in SNA and SA regenerants. The stomatal conductance of SNA regenerants was 11.15 mmol/m2/s at 300 mM NaCl compared to 13.35 mmol/m2/s for SA regenerants. Similarly, the mesophyll conductance of SNA and SA regenerants was 11.6 and 32.1 mmol/m2/s at 300 mM NaCl, respectively (Table 5). Generally, the SA regenerants maintained consistent mesophyll and stomatal conductance even under high salt concentrations compared to SA regenerants.
The WUE of SA and SNA regenerants increased significantly with increasing salinity as compared to control plants, but SA regenerants performed much better than SNA regenerants. The WUE of SA regenerants increased from 6.53 µmol/mol at 100 mM NaCl to 22.55 µmol/mol at 300 mM NaCl compared to SNA regenerants (Table 5).
Correlation analysis
Correlations were computed between photosynthesis, stomatal and mesophyll conductance, internal CO2 (Ci) and leaf Na+ and K+ contents for the SNA and SA regenerants of cv. Khalas (Fig. 1). The correlation coefficients for the photosynthetic rate with stomatal and mesophyll conductance were determined for SNA regenerants (r2 = 0.8443, r2 = 0.7493) and SA regenerants (r2 = 0.9512, r2 = 0.9876) (Fig. 1), respectively. A regression between the leaf dry matter Na+ concentration and net photosynthesis rate provided an inverse nonlinear correlation with a good coefficient of determination r2 of 0.71 in non-adapted regenerants and a poor r2 of 0.21 in adapted regenerants (Fig. 1e). The correlation coefficients between K+ contents and stomatal conductance were r2 = 0.9001 in SA regenerants and r2 = 0.2518 in SNA regenerants.
RAPD-PCR analysis
To test the genetic fidelity of the selected regenerants against salt stress, 36 primers were tested, and 26 primers produced scorable bands (Table 6). These 26 primers produced 140 amplicons for each treatment, ranging between 250–6000 bp in size. The selected primers generated 1–10 bands with an average of 5.4 bands per RAPD primer (Fig. 2). In total, 560 bands (total number of plants analyzed x total number of amplicons with all primers) were generated using RAPD, revealing a monomorphic pattern in all regenerated plants.
Table 6.
No | Primer name | Primer sequence | Band score | Size range (bp) | |||
---|---|---|---|---|---|---|---|
Control | 100 mM | 200 mM | 300 mM | ||||
1 | OPA-03 | AGTCAGCCAC | 9 | 9 | 9 | 9 | 500–4000 |
2 | OPA-05 | AGGGGTCTTG | 6 | 6 | 6 | 6 | 500–2700 |
3 | OPA-07 | GAAACGGGTG | 6 | 6 | 6 | 6 | 750–7000 |
4 | OPA-10 | GTGATCGCAG | 7 | 7 | 7 | 7 | 1200–5000 |
5 | OPA-15 | TTCCGAACCC | 1 | 1 | 1 | 1 | 4000 |
6 | OPB-10 | CTGCTGGGAC | 10 | 10 | 10 | 10 | 800–6000 |
7 | OPC-02 | GTGAGGCGTC | 1 | 1 | 1 | 1 | 2000 |
8 | OPC-05 | GATGACCGCC | 3 | 3 | 3 | 3 | 1800–3100 |
9 | OPC-08 | TGGACCGGTG | 9 | 9 | 9 | 9 | 700–4000 |
10 | OPE-01 | CCCAAGGTCC | 6 | 6 | 6 | 6 | 250–2700 |
11 | OPE-18 | GGACTGCAGA | 4 | 4 | 4 | 4 | 1200–3000 |
12 | OPE-19 | ACGGCGTATG | 8 | 8 | 8 | 8 | 600–2800 |
13 | OPF-10 | GGAAGCTTGG | 2 | 2 | 2 | 2 | 900–2000 |
14 | OPH-04 | GGAAGTCGCC | 2 | 2 | 2 | 2 | 3000–3900 |
15 | OPI-02 | GGAGGAGAGG | 4 | 4 | 4 | 4 | 800–3600 |
16 | OPI-08 | TTTGCCCGGT | 5 | 5 | 5 | 5 | 750–4800 |
17 | OPM-10 | TCTGGCGCAC | 7 | 7 | 7 | 7 | 700–4000 |
18 | OPN-13 | AGCGTCACTC | 2 | 2 | 2 | 2 | 1800–4000 |
19 | OPR-13 | GGACGACAAG | 4 | 4 | 4 | 4 | 750–3000 |
20 | OPW-11 | CTGATGCGTG | 3 | 3 | 3 | 3 | 750–2200 |
21 | MOH-2 | GAGGCGTCGC | 5 | 5 | 5 | 5 | 1600–4500 |
22 | MOH-3 | CCCTACCGAC | 3 | 3 | 3 | 3 | 1800–4000 |
23 | MOH-5 | CACCTTTCCC | 5 | 5 | 5 | 5 | 1100–4000 |
24 | MOH-7 | GTTCCGCTCC | 9 | 9 | 9 | 9 | 750–5000 |
25 | MOH-8 | GTGAGGCGTC | 10 | 10 | 10 | 10 | 800–5000 |
26 | MOH-9 | GGACCCAACC | 9 | 9 | 9 | 9 | 800–3600 |
Discussion
The tissue culture technique is routinely employed to produce genetically stable and useful genetic variations in various plant species through somaclones. Plants thus regenerated undergo somaclonal variations, most likely as a result of stresses enforced during in vitro culturing [32].
Significant variations were observed in most of the morphological, physiological and biochemical characters in almost all the SA regenerants compared with the SNA regenerants. Physiological characters, such as shoot and root dry weight and shoot/root dry weight ratio, were first reduced and then tended to improve with high salinity in SA compared with SNA regenerants (Table 2). Such reductions have been previously reported by many researchers [3, 6]. The higher dry weights of SNA compared with SA regenerants might be a result of higher ion accumulation than organic compound accumulation, particularly in the presence of 200 and 300 mM NaCl. Such reductions could be associated with a reduction in some morphological characters of these regenerants (Table 1). Adverse effects of increasing salinity levels were more pronounced in leaves than roots; however, compared with the low salinity levels, the SA regenerants seemed to start responding to the high salinity with improved performance (Tables 1, 2).
It is generally believed that a greater accumulation of K+ leads to better tolerance to elevated Na+ in plants [37]. Nevertheless, the efficiency of plants to cope with increased salt stress is primarily dependent on the cytosolic K+/Na+ ratio rather than shoot and root Na+ and/or K+ accumulation capabilities [13]. For example, Egea et al. [23] and Genc et al. [28] have shown that higher accumulation of Na+ in salt-tolerant tomato or Na+ exclusion in salt-tolerant bread wheat have no relationship to their salt tolerance, respectively. Thus, the salt tolerance of plants is a direct measure of the intracellular K+/Na+ ratio in plants. Apparently, plants attempt to adjust their cytosolic K+/Na+ ratio via either reduced accumulation of Na+ or overcoming the loss of K+ [27]. Keeping these features in mind, the leaf and root ionic concentrations were also determined based on the Na+, K+, Ca+, Mg+ and K+/Na+ ratios of all the treatments to assess the role of K+ in salt stress tolerance of the date palm cultivar “Khalas”.
During this study, the SA regenerants showed a reduced accumulation of Na+ in leaves and roots compared with the SNA regenerants and the control. Moreover, K+ and Ca2+ levels were lower in SA than SNA regenerants; however, all the SA regenerants maintained a constant level of these elements both in leaves and roots. Increasing leaf and root internal Na+ concentrations have also been reported in tomato [31], sugarcane [25, 49], wheat [28, 58] and potato [33], as we observed in SNA regenerants. A declining trend was observed in K+, Ca2+ and Mg2+ levels in the leaves of SA compared with SNA regenerants. Usually, NaCl causes two types of effects, i.e., lowering the water potential (osmotic stress) and increasing Na+ (ionic toxicity). The presence of high salt concentrations in the growing medium or soil inhibits water absorption and minerals such as K+ and Ca2+ [13]. In contrast, Na+ and Cl− exert their deleterious effects directly by entering the plant cells [51]. The SNA regenerants appeared to accumulate more K+ and Ca+ than the SA regenerants to stabilize osmosis to maintain metabolic functions.
The K+/Na+ ratio is an established criteria for assessing the salt tolerance of plants [28, 45, 59]. Date palm cultivars maintain a higher K+/Na+ ratio to salt stress with a positive correlation between the yield and K+/Na+ ratio [9]. In the present study, the SA regenerants accumulated less Na+ than the SNA regenerants and maintained a reasonable K+/Na+ ratio under salt stress conditions (Tables 3 and 4). Thus, we presumed that the SA regenerants adapted to the salt stress at the cellular level, which was expressed at the whole plant level. Many researchers have also supported that the K+/Na+ ratio depicts the salt tolerance of plants [21, 54]. Moreover, Shabala and Cuin [54] confirmed that the ability of plant cells to cope with higher salt stress depends on the cytosolic K+/Na+ ratio rather than the accumulation of Na+ and/or K+ contents in shoots and roots.
The photosynthetic rate and stomatal and mesophyll conductance was significantly increasing in SA compared with SNA regenerants under increased salinity levels (Table 5). However, the transpiration rate and internal CO2 was significantly higher in SNA than SA regenerants. This increased accumulation of intercellular CO2 might be a result of a low level of photosynthesis and low transpiration rate under high salt concentrations. Lower rates of photosynthesis at higher salinity levels were more pronounced in SNA than SA regenerants and were directly associated with a decrease in both stomatal and mesophyll conductance. However, in SA regenerants, the net photosynthesis appeared to be associated with a decrease in stomatal conductance, while the biochemical properties of the photosynthetic apparatus in the mesophyll cells did not seem to exhibit a negative response. In the presence of a lower stomatal conductance and intercellular CO2 concentration, stomatal closure might be the main reason for decreased photosynthetic rate in both SNA and SA regenerants. However, once the SA regenerants were acclimatized to the saline environment, their net photosynthesis and stomatal conductance improved significantly, i.e., at 300 mM NaCl (Table 5). The higher photosynthetic rate in the SA regenerants could also be explained by a reduced accumulation of internal CO2 in SA compared with SNA regenerants. Despite the differences in stomatal conductance between SNA and SA regenerants, a relatively constant rate of transpiration was observed. The transpiration rate might contribute to adequate delivery of ions into leaves, which might be used in osmotic adjustment and hence have no effect on plant growth [41]. The superior WUE of SA regenerants might be due to the adaptation of SA regenerants to high salt levels by maintenance of turgor and hence better growth than SNA regenerants (Table 5). Tolerance to salinity is usually associated with maintenance of the net photosynthetic rate and stomatal conductance [41]. We also found that the SA regenerants maintained a fair photosynthetic rate, which was associated with consistent stomatal and mesophyll conductance even under high salinity levels, compared with their respective SNA regenerants. However, the reduction in photosynthetic activity might also be associated with low stomatal conductance under salt stress [42, 60], or to a direct effect of Na+ as observed in woody citrus plants [38].
Photosynthesis was positively correlated with stomatal and mesophyll conductance both in SNA and SA regenerants. Lucia et al. [39] also observed decreased stomatal conductance with decreased photosynthesis in the conifer Dacrydium cupressinum. These findings corroborate with those of Al-Khateeb [10] and Yaish et al. [60], who observed considerable changes in gm consistent with the changes in net photosynthesis expressed on either a leaf area or chlorophyll basis. Similar observations have also been reported by Redondo-Gomez et al. in Atriplex portulacoides [50] under salt stress. However, according to Qiu et al. [47], there is no evidence of the inhibition of photosynthesis in response to salinity.
The correlation between net photosynthesis and leaf Na+ contents in SNA regenerants indicates that Na+ affects net photosynthesis rates, while in SA regenerants, the Na+ may be regulated at an earlier time to negatively affect the photosynthetic rate. Leaf K+ contents and stomatal conductance in SA regenerants showed a strong nonlinear relationship compared with the inverse nonlinear correlation in SNA regenerants. This adaptive character seems to be the outcome of a better K+/Na+ ratio in SA regenerants rather than Na+ exclusion and/or K+ accumulation (Table 4). These findings are also consistent with the recent observations of Shabala and Cuin [54] advocating that the K+/Na+ ratio is a key determinant of plant salt tolerance [21, 54].
Based on physiological, morphological and biochemical analyses, a genetic change was expected as somaclonal variation in the SA regenerants. Therefore, molecular characterization of SA regenerants was also investigated using RAPD DNA markers. However, due to the short exposure to salt stress, SNA regenerants were not employed in the molecular analysis. The RAPD analysis produced only a monomorphic pattern in all SA regenerants, and no polymorphic bands were observed. In total, 560 bands were generated from 26 primers in this study, with no polymorphisms. These findings are comparable to the results of previous studies using various plant species and employing PCR-based RAPD analysis [30, 35], including date palm [34, 43]. The different physiological responses of SA regenerants were more likely related to RNA rather than DNA responses. It is possible that these differences were related to the magnitude of the response and not to inherited changes in SA regenerants. The regeneration and selection of salt stress adapted date palm plants would be potentially useful in the field for the massive production of salt-adapted plants. Thus, we may presume from our studies that plants that are generated using this technique would be more resistant to saline conditions than non-treated date palm plants. In addition to major changes at the chromosomal level or the duplication and deletion of specific regions, abiotic stress tolerance in SA regenerants may also arise due to single base changes in the respective genes. Thus, the variation in adaptation against salt stress is a physiological rather than a genetic phenomenon, which has also been observed in date palm cv. Sukary [11]. Moreover, the changes that occurred in regenerants may either be due to the effects of certain hormones and growth regulators in the culture medium, or they may be consequences of an alleviation of salt stress and of time during the long culturing period in SA regenerants. To detect any changes at the gene level, such as point mutations, further whole-genome sequencing studies and/or application of new breeding tools (NBTs) [53] may provide better insight into the in vitro stress response of SA regenerants in the future and help to devise better strategies against salt stress in date palm. Further studies on these regenerants at both the molecular level (by sequencing the gene portions involved) and the whole plant level may be helpful.
Conclusion
Although the SA regenerants showed a positive response to the high salinity levels, this response may not have been related to any genetic changes incurred during salt stress because no polymorphisms were observed by RAPD analysis. Thus, the improved performance of SA regenerants may involve physiological phenomena related to salt-adaptation. Further, long-term field trials may also be necessary for assessing the real quality of in vitro produced woody plants. However, the long life cycle of woody plants may have drawbacks in the selection and assessment of the variability generated in regenerants, even during development or in subsequent generations. Thus, any changes (genetic or physiological) observed in the regenerants of woody plants might be difficult to assess without employing modern OMICS and genetic approaches.
Abbreviations
- AFLP
amplified fragment length polymorphism
- DMRT
duncan’s multiple range test
- Ci
intercellular Co2
- MS-media
murashige and Skoog media
- A
photosynthesis
- RAPD
random amplified polymorphic DNA
- RFLP
restriction fragment length polymorphism
- SNA
salt non-adapted
- SA
salt-adapted
- Gs
stomatal conductance
- E
transpiration rate
- WUE
water use efficiency
Authors' contributions
SAA conducted the experiments and helped write the first draft of the manuscript. AAA wrote the manuscript and conducted all analyses. MNS conducted the experiments and helped write the manuscript. ASM helped write the final draft of the manuscript. All authors read and approved the final manuscript.
Funding
This study was supported by research grant project “08-BIO14-06” from ‘King Abdulaziz City for Science and Technology’ under the National Science, Technology and Innovation Plan (NSTIP), Kingdom of Saudi Arabia.
Availability of data and materials
Not applicable.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher's Note
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