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Article

Effects of Exogenous (K+) Potassium Application on Plant Hormones in the Roots of Tamarix ramosissima under NaCl Stress

by
Yahui Chen
1,2,
Shiyang Zhang
2,
Shanfeng Du
1,
Guangyu Wang
2,
Jinchi Zhang
1 and
Jiang Jiang
1,*
1
Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu Province, Nanjing Forestry University, Nanjing 210037, China
2
Department of Forest Resources Management, Faculty of Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
*
Author to whom correspondence should be addressed.
Genes 2022, 13(10), 1803; https://doi.org/10.3390/genes13101803
Submission received: 15 September 2022 / Revised: 30 September 2022 / Accepted: 3 October 2022 / Published: 6 October 2022
(This article belongs to the Section Plant Genetics and Genomics)
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Abstract

:
Abiotic stresses such as salt stress seriously affect the growth and yield of plants. Tamarix ramosissima Lcdcb (T. ramosissima) is a widely cultivated halophyte in saline-alkali areas of the world. As an essential element for plant growth and development, K+ plays an irreplaceable role in improving the tolerance of plants to salt stress. However, there are few reports on the mechanism of K+ in promoting plant hormones to reduce the damage of NaCl stress to T. ramosissima. In this study, we sequenced the transcriptome of the roots of T. ramosissima which were treated with exogenous potassium (K+) for 0 h, 48 h and 168 h under NaCl stress, according to the changes in the expression levels of differentially expressed genes (DEGs) in T. ramosissima roots. Key candidate genes and metabolic pathways related to plant hormones were mined for analysis and further verified by quantitative real-time PCR (qRT-PCR). The results showed that under NaCl stress for 48 h and 168 h, there were a large number of DEGs in the roots of T. ramosissima, and the expression levels changed over time. In particular, we found that 56 plant hormone-related genes were annotated to the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and with the increase of time, their expression levels were mainly up-regulated and involved in the related metabolic pathways to resist NaCl stress. It is worth noting that 7 DEGs related to abscisic acid (ABA), 28 DEGs related to auxin, 1 DEG related to ethylene (ET), and 1 DEG related to cytokinin (CK) were added within 168 h of exogenous potassium, and they were involved in alleviating the root damage of T. ramosissima under NaCl stress and played an important role. In addition, we found the plant hormone signal transduction pathway, which plays an important role in resistance to NaCl stress. As a result of this study, the molecular mechanism of plant hormones involved in applying exogenous potassium under NaCl stress is further understood, resulting in a better understanding of how exogenous potassium can alleviate the damage caused by NaCl under stress in T. ramosissima.

1. Introduction

Plant growth, development and yield are negatively affected by abiotic stresses such as drought, salinity, low and high temperature [1]. In particular, salt stress is the main factor restricting plant growth [2]. Research shows that excessive NaCl accumulation in soil and water is the main salt damage that inhibits plant growth [3,4]. Plant physiological processes are affected under salt stress [5], for example, photosynthesis, protein synthesis, energy and lipid metabolism, etc. In general, the destructive effects of salt stress on plants are mainly achieved through processes such as osmotic stress, ion toxicity, nutrient imbalance and oxidative stress [6]. Eventually, plant growth is inhibited, and in severe cases, plant death [7].
Plants produce a class of important substances known as phytohormones. At low concentrations, they can have an effect on physiological processes such as plant growth and development, metabolism, and environmental response. [8]. Plant hormones are key regulators in various physiological processes and one of the most important small signaling molecules affecting plant growth and yield [9]. Plant hormones trigger adaptive responses caused by external stimuli, such as biotic and abiotic stresses [10,11,12]. Interestingly, regulating plant hormones can effectively alleviate salt stress during salt stress [13]. Therefore, using plant hormones is an effective measure to improve plant growth and alleviate salt stress [14], and they can regulate plant growth and development at homeostasis [15]. According to the function of plant hormones, it can be divided into two categories: the first category of plant hormones includes auxin, gibberellin, cytokinin (CK), brassinolide, jasmonic acid (JA) and strigolactone. This class of plant hormones can play important roles in growth-promoting activities through cell division, cell differentiation, elongation, patterning, stomatal movement, flowering, and seed germination and development. The second class of plant hormones includes abscisic acid (ABA), salicylic acid (SA), and jasmonic acid. They are mainly involved in biotic and abiotic stress responses under different environmental conditions such as sunlight, soil conditions, soil moisture and nutrients [16,17,18]. Studies have reported that plants can synthesize ABA in large quantities after being subjected to salt stress, it can reduce plant stomatal conductance, water consumption, wilting and transpiration, thereby maintaining low Na+/K+ and enhancing the activity of protective enzymes, ultimately maintaining the integrity of cell membrane structure and reducing salt-induced damage [19]. Additionally, the application of exogenous abscisic acid can improve the tolerance of plants to salt [20], and it can also improve the ability of plants to grow under salt stress [21]. In salt medium, after exogenous IAA was applied to Solanum tuberosum, the in vitro cultured plants could better regulate osmotic pressure, maintain plant nutrient homeostasis, and operate the antioxidant system, thereby improving plant growth [22]. In addition to enhancing mineral homeostasis (K+, Ca2+, and Mg2+) and Na+ transport, exogenous IAA can also inhibit excessive Na+ accumulation in roots under NaCl stress. [23]. Aside from regulating plant growth and defense under NaCl stress, jasmonic acid can also interact with growth-related hormones [24]. For example, applying exogenous MeJA can alleviate the adverse effects of NaCl on soybean growth and endogenous hormones, and enhance soybean yield’s salt tolerance of soybean [25]. Application of exogenous JA can enhance the activity of antioxidant enzymes to inhibit the excess reactive oxygen species caused by salt stress, thus effectively protecting wheat seedlings from the damage of NaCl stress [26]. Interestingly, cytokinins (CKs) play important and complex roles in plant growth and abiotic stress responses [27]. The application of exogenous CKs can not only improve the salt tolerance of wheat seedlings, but also increase the sensitivity of potatoes to salt [28,29]. CKs in plants can also enhance resistance to salt by regulating the division and expansion of endosperm cells [30]. CKs can play a role in alleviating salt-induced senescence and maintaining crop yield under salt stress [31]. Consequently, applying exogenous CKs to plants can increase plants’ salt tolerance of plants [32]. Notably, ethylene is largely able to improve Na+/K+ homeostasis to promote salt tolerance [33], and ethylene signaling can also promote salt tolerance in Arabidopsis [34].
K+ is the most abundant cation in plants and is essential for plant nutrition, growth, enzyme homeostasis and osmotic pressure regulation [35]. Under salt stress, Na+ competes with K+ for absorption through the cytoplasmic membrane of the root, which enables ROS to activate the K+ permeation channel in the root to cause K+ efflux, reduce the K+/Na+ ratio, and ultimately lead to the toxicity of Na+ to plants [36]. Under NaCl stress, the absorption of K+ can better maintain the K+/Na+ ratio and improve the salt tolerance of plants [37]. For example, overexpression of OsHAK1 in rice increased K+ uptake and K+/Na+ ratio, indicating that OsHAK1 plays an important role in K+-mediated rice growth and salt tolerance at low and high K+ concentrations [38]. Increasing the K+ accumulation level of transgenic plants under NaCl stress and ROS scavenging ability of transgenic plants was associated with improved tolerance to NaCl stress following ApKUP4 overexpression in Arabidopsis thaliana [39]. Exogenous potassium was applied to T. ramosissima roots under NaCl stress for 48 h and 168 h. In addition to helping T. ramosissima overcome oxidative damage, K+ improved root K+ absorption and alleviated NaCl toxicity [40].
Halophytes are highly salt-tolerant plants that can complete their life cycle at ≥200 mM NaCl concentration [41]. Tamarix plants are halophilic plants [42], they are able to avoid salt damage by secreting salt through the salt glands [43,44], and the use of physiological and metabolic processes to enhance tolerance [45,46,47], such as osmoregulation, free radical scavenging, cellular detoxification and protection of biological macromolecules [48]. T. ramosissima, a member of the genus Tamarix plants, is widely grown in saline soils [49]. Studies have reported that high salt stress will limit plant growth even more [50]. T. ramosissima promotes its growth under ≤100 mM NaCl stress, but inhibits its growth under ≥200 Mm NaCl stress [51]. However, as a halophyte, T. ramosissima has the ability to retain more K+ under salt stress conditions to adapt to different saline-alkali conditions [52]. It has been reported that the application of 10 Mm KCl under the stress of 200 mM NaCl can increase the activities of SOD, POD and CAT in leaves of T. ramosissima [53], and K+ transporter, K+ channel and amino acid-related genes in T. ramosissima root are up-regulated and related genes are involved in resisting NaCl stress and maintaining the growth of T. ramosissima [40,54]. In this study, T. ramosissima was taken as the research object, and the important metabolic pathways and key differentially expressed genes (DEGs) related to plant hormones in response to NaCl stress were excavated from the transcriptome level by exogenous potassium application. The purpose of this study is to provide a scientific theoretical foundation for future research on the breeding of salt-tolerant Tamarix species under NaCl stress, as well as the effect of K+ on alleviating NaCl toxicity by using exogenous potassium.

2. Materials and Methods

2.1. Plant Materials

The 5-month-old T. ramosissima seedlings with similar growth were transferred to a 24-well hydroponic box (40 cm × 30 cm × 16 cm) filled with 1/2 Hoagland nutrient solution and placed at a temperature of 26 ± 2 °C, with relative humidity of 40% to 55%. The culture medium was replaced every 3 days, and the culture medium was used for 2 months after cultivation. The experiment was carried out in the key laboratory of the School of Forestry, Nanjing Forestry University.

2.2. Treatment of Experimental Seedlings

In this study, 1/2 Hoagland nutrient solution was used as the control group, 1/2 Hoagland nutrient solution supplemented with 200 mM NaCl and 1/2 Hoagland nutrient solution supplemented with 200 mM NaCl + 10 mM KCl was used as the treatment group. The nutrient solution for each treatment group was replaced every 3 days. Culture medium, 8 plants in each group, a total of 3 replicates, and 24 seedlings. In this study, we collected root samples at 0 h, 48 h, and 168 h of treatment, and placed them in liquid nitrogen immediately after treatment, and then transferred them to a −80 °C refrigerator for future use.

2.3. Transcriptome Sequencing and Differentially Expressed Gene Screening

We sent the test samples processed in 2.2 to Guangzhou GENE Denovo Company for high-throughput transcriptome sequencing. Firstly, we used the Omega kit (Beinuo Bio, Shanghai, China) from Omega Bio-Tek to extract the total RNA. Then, we did an RNA quality assessment on an Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA, USA). We also used RNase-free agarose gel electrophoresis to check the quality as well. After the RNA extraction process, eukaryotic mRNA was enriched by Oligo(dT) beads, and prokaryotic mRNA was enriched by removing rRNA by Ribo-ZeroTM Magnetic Kit (Epicentre, Madison, WI, USA). After that, by using the fragmentation buffer, the enriched RNA was divided into short fragments, and we reversed transcripted it into cDNA with random primers. Second-strand cDNA was synthesized by DNA polymerase I, Rnase H, dNTP and a buffer. The cDNA fragments were purified with a QiaQuick PCR extraction kit (Qiagen, Venlo, The Netherlands), end-repaired, poly(A) was added and ligated to Illumina sequencing adapters. They were sequenced using Illumina HiSeqTM4000 by Gene Denovo Biotechnology Company (Guangzhou, China). We submitted the raw data obtained by transcriptome sequencing to the National Center for Biotechnology Information (NCBI) Short Reads Archive (SRA) database (SRP Number: SRP356215). Transcriptome data were analyzed and differentially expressed genes were screened according to the method of Chen et al. [40,54].

2.4. Quantitative Real-Time PCR (qRT-PCR) Validation

For the purpose of verifying the accuracy of RNA-Seq results, we randomly selected 7 candidate genes. To detect key candidate genes, qRT-PCR primers were designed (Supplementary Table S1). ABI ViiATM 7 Real-time PCR system (ABI, Carlsbad, CA, USA) was used for the qRT-PCR detection of target genes according to the method of Chen et al. [49]. Three times each gene was replicated technically and three times each gene was replicated biologically. The internal reference gene tubulin was used, and the relative expression was calculated by the 2−ΔΔCt method [53].

2.5. Experiment Data Processing

In this study, Data statistics were performed using Excel (Microsoft, Washington, DC, USA), phylogenetic trees were created using MEGA 11 software (MEGA Software, Erie, PA, USA) and graphs were drawn using Origin 2018 software (OriginLab Corporation, Northampton, MA, USA). For transcriptome sequencing detection, 3 technological and 3 biological repetitions were included.

3. Results

3.1. Screening of Differentially Expressed Genes (DEGs)

The data obtained by transcriptome sequencing were screened according to FDR < 0.05 and Log2 fold-change > 1 as up-regulated DEGs, and FDR < 0.05 and Log2 fold-change < −1 as down-regulated DEGs. In this study (Supplementary Figure S1), except for the control group-0 h vs. 200 mM NaCl-48 h and the control group-0 h vs. 200 mM NaCl-168 h comparison group, the number of DEGs was up-regulated more than down-regulated, the DEGs for the remaining comparison groups were all have more down-regulated than those which were up-regulated. Among them, 13,833 DEGs were identified in the 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h comparison group, including 5491 DEGs that were up-regulated and 8342 DEGs that were down-regulated. In the 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h comparison group, 10,818 DEGs were identified, including 4392 DEGs that were up-regulated and 6426 DEGs that were down-regulated.

3.2. Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway Analysis

When T. ramosissima roots were exposed to exogenous potassium for 48 h and 168 h under NaCl stress, the 10 most significant Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways (p < 0.05) were significantly enriched (Table 1). Six co-annotated metabolic pathways were found in the comparison groups of 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h and 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h, which were ribosome pathway, flavonoid biosynthesis pathway, phenylpropanoid biosynthesis pathway, plant hormone signal transduction pathway, zeatin biosynthesis pathway and cutin, suberine and wax biosynthesis pathway. In the comparison group of 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h, the number of up-regulated DEGs of the two metabolic pathways including plant hormone signal transduction pathway and stilbenoid, diarylheptanoid and gingerol biosynthesis pathway was greater than the number of down-regulated DEGs, the remaining 8 metabolic pathways are that the number of down-regulated DEGs is greater than the number of up-regulated DEGs (Figure 1). In 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h comparison group, four metabolic pathways (plant hormone signal transduction pathway, brassinosteroid biosynthesis pathway, flavonoid biosynthesis pathway and cutin, suberine and wax biosynthesis pathway) have more up-regulated DEGs than down-regulated DEGs. The remaining six metabolic pathways are that the number of down-regulated DEGs is greater than the number of up-regulated DEGs (Figure 1). It is worth noting that the number of up-regulated DEGs was always greater than the number of down-regulated DEGs in the Plant hormone signal transduction pathway when exogenous potassium was applied for 48 h and 168 h under NaCl stress. In conclusion, the Plant hormone signal transduction pathway has a large number of up-regulated and DEGs that have been involved in resisting the damage of NaCl stress to T. ramosissima, and the Plant hormone signal transduction pathway plays an important role in alleviating the injury caused by NaCl stress and maintaining the normal growth of T. ramosissima.

3.3. Plant Hormone Signal Transduction Pathway Analysis

According to the analysis of the Plant hormone signal transduction pathway (Figure 2), the results showed that 74 DEGs were annotated in the 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h comparison group. Among them, 40 DEGs were up-regulated and 34 DEGs were down-regulated. In the 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h comparison group, 70 DEGs were annotated. Among them, 40 DEGs were up-regulated and 30 DEGs were down-regulated. Specially, there were 27 DEGs co-annotated to the 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h and 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h comparison groups (Supplementary Figure S2). Among them, the expression levels of Unigene0073282, Unigene0037360, Unigene0094450, Unigene0005289 and Unigene0049621 were down-regulated when exogenous potassium was applied for 48 h under NaCl stress, but the expression levels of the comparison group were up-regulated when exogenous potassium was applied under NaCl stress for 168 h. It is remarkable that the expression levels of Unigene0052679, Unigene0105384, Unigene0018885, Unigene0000101 and Unigene0015062 were all up-regulated at 48 h and 168 h under NaCl stress (Figure 3). Therefore, these 10 DEGs (Supplementary Table S2) are affected by exogenous addition, actively participate in resistance to NaCl stress, alleviate NaCl injury, and play an important role in the plant hormone signal transduction pathway.

3.4. Analysis of Candidate Genes Related to Plant Hormones in the Roots of T. ramosissima by Exogenous Potassium Application under NaCl Stress

The roots of T. ramosissima were exposed to exogenous potassium for 48 h and 168 h under NaCl stress, and 56 Plant hormone-related genes were found to be annotated to the KEGG pathway (Table 2), including 10 genes for abscisic acid (ABA), auxin 42 genes, 2 genes for ethylene (ET), 1 gene for jasmonic acid (JA) and 1 gene for cytokinin (CK). The expression levels of these genes changed over time. In the 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h comparison group, 26 DEGs were up-regulated and 30 DEGs were down-regulated. Among them, in the comparative analysis of 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h, the number of up-regulated DEGs were ABA (8), auxin (15), ET (1), JA (1) and CK (1), the number of down-regulated DEGs were ABA (2), auxin (27) and ET (1) (Figure 4). In the comparative analysis of 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h, 37 DEGs were up-regulated and 19 differentially expressed genes were down-regulated. Among them, in the comparative analysis of 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h, the number of up-regulated DEGs were ABA (7), auxin (28), ET (1) and CK (1), the number of down-regulated DEGs was ABA (3), auxin (14), ET (1) and JA (1) (Figure 4).
According to the Log2 fold-change analysis of 56 plant hormone -related genes (Table 2), when exogenous potassium was applied for 48 h under NaCl stress, the expression levels of these 19 DEGs were down-regulated, including 1 DEG in abscisic acid (Unigene0039063) and 18 DEGs in auxin (Unigene0000292, Unigene0008042, Unigene0009423, Unigene0029265, Unigene0046011, Unigene0047953, Unigene0048320, Unigene0048945, Unigene0050675, Unigene0050677, Unigene0059004, Unigene0059322, Unigene0065339, Unigene0073282, Unigene0074040, Unigene0089917, Unigene0091437 and Unigene0097673). Nevertheless, these 19 DEGs were up-regulated when exogenous potassium was applied for 168 h under NaCl stress. Significantly, Under NaCl stress, the expression levels of exogenous potassium were up-regulated at 48 h and 168 h, including 6 DEGs in ABA (Unigene0079211, Unigene0063711, Unigene0008844, Unigene0080236, Unigene0044630 and Unigene0071368) and 10 DEGs in auxin (Unigene0018027, Unigene0018885, Unigene0038393, Unigene0050676, Unigene0059399, Unigene0070335, Unigene0071678, Unigene0072291, Unigene0073285, Unigene00775575), 1 DEG in ET (Unigene0010277) and CK (Unigene0045738). The results showed that these 18 plant hormone candidate genes played an important role at 48 h and 168 h of exogenous potassium alleviating NaCl injury, and the plant hormone-related genes increased with time, and the up-regulated expression of differentially expressed genes increased under NaCl stress for 48 h and 168 h under NaCl stress. In brief, during the 168 h application of exogenous potassium under NaCl stress, the expression levels of plant hormone-related genes were mainly up-regulated, and the corresponding mechanisms were regulated to resist NaCl stress.

3.5. Phylogenetic Tree Analysis of Auxin Key Candidate Genes in Plant Hormones

According to the data analysis in 3.4, this study found that a large number of auxin-related genes are involved in the resistance of plant hormones to NaCl stress. In particular, we found 28 genes (Unigene0000292, Unigene0008042, Unigene0009423, Unigene0029265, Unigene0046011, Unigene0047953, Unigene0048320, Unigene0048945, Unigene0050675, Unigene0050677, Unigene0059004, Unigene0059322, Unigene0065339, Unigene0073282, Unigene0074040, Unigene0089917, Unigene0091437, Unigene0097673, Unigene0018027, Unigene0018885, Unigene0038393, Unigene0050676, Unigene0059399, Unigene0070335, Unigene0071678, Unigene0072291, Unigene0073285 and Unigene0077555) whose expression levels were up-regulated under NaCl stress with application of exogenous potassium for 168 h. Therefore, we selected these 28 genes as key candidate genes for auxin and compared their protein and amino acid sequences on National Center for Biotechnology Information (NCBI) using BLAST, and selected 25 homologous gene species (Table 3). Using MEGA software (MEGA Software, Pennsylvania, USA), the 28 amino acid protein sequences of the key candidate genes in T. ramosissima’s auxin and those of the 25 homologous protein genes were combined to construct a phylogenetic tree for analysis. The results showed that Unigene0073285 was closely related to Sesamum indicum, Unigene0050677 was closely related to Quercus suber, Unigene0050675 was closely related to Pistacia vera, Unigene0089917 was closely related to Malus domestica, Unigene0046011 was closely related to Cucumis sativus, Unigene0059399 was closely related to Momordica charantia, Unigene0059004 was closely related to Mangifera indica, Unigene0048320 was closely related to Rosa chinensis, Unigene0070335 was closely related to Camellia sinensis, and Unigene0048945 was closely related to Pyrus bretschneideri (Supplementary Figure S3).

3.6. Quantitative Real-Time PCR (qRT-PCR) Validation of DEGs

To verify the reliability of transcriptome sequencing data, we randomly selected 7 key DEGs for qRT-PCR verification using Chen et al. [54]. According to these validation results, qRT-PCR results were completely consistent with transcriptome sequencing analysis results (Figure 5), proving that the transcriptome data are accurate and reliable. The research could provide a scientific foundation that exogenous potassium can be applied to T. ramosissima roots to relieve NaCl stress injury by excavating key candidate genes of plant hormones and salt tolerance genes.

4. Discussion

Plants are often subjected to environmental stresses such as high temperature and salt stress, which adversely affect the seed germination, growth and development of plants [55]. However, various signal transduction pathways of plant hormones in response to abiotic stress play a key role in regulating plant growth and development [18]. In this study, the plant hormones which we focused on were abscisic acid (ABA), auxin, Ethylene (ET), jasmonic acid (JA), and cytokinin (CK). Due to the complex interactions between different plant hormones, they can regulate many physiological processes. We studied the expression of key plant hormone genes in the roots of T. ramosissima in response to the application of exogenous potassium under NaCl stress.
Plant hormones, as the main signals in plants, are involved in the response of plants to salt stress [56]. Among them, auxin, ABA, JA, and CK regulate plant responses to salt stress and counteract the adverse effects of stress conditions [57]. Under salt stress, the content of ABA in plants increases, and the salt tolerance of plants is enhanced by stimulating stomatal closure, regulating gene expression, and increasing osmotic compatible substances [58]. In particular, under NaCl stress, applying exogenous abscisic acid in rice reduced the Na+ content in the leaves and roots, and increased the K+, Mg2+ and Ca2+ content and antioxidant enzyme levels in the leaves and roots, thereby reducing the salt toxicity of seedlings. It showed that ABA is beneficial for protective membrane lipid peroxidation and enhances salt tolerance by regulating antioxidant defense systems and endogenous hormone balance [59]. ABA enhances tolerance to alkaline stress by initiating antioxidant defense system in roots of rice seedlings and upregulating tolerance-related genes [60]. In this study, in the comparison group of 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h, the numbers of up-regulated genes for abscisic acid and auxin were 8 and 15, and the numbers of down-regulated genes were 2 and 27, respectively. In the 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h comparison group, the numbers of up-regulated genes for abscisic acid and auxin were 7 and 28, and the numbers of down-regulated genes were 3 and 14, respectively. Six genes of abscisic acid showed an upward trend during 48 h and 168 h of exogenous potassium application in the roots of T. ramosissima, namely Unigene0079211, Unigene0063711, Unigene0008844, Unigene0080236, Unigene0044630 and Unigene0071368. In particular, the expression levels of four genes, Unigene0079211, Unigene0008844, Unigene0080236 and Unigene0044630, increased at 168 h, increasing the content of abscisic acid under NaCl stress. The results showed that adding exogenous potassium improved plants’ ability to absorb K+, and the expression levels of abscisic acid-related genes were mainly up-regulated at 48 h and 168 h under NaCl stress, which were involved in resistance to NaCl stress.
Auxin plays a key regulatory role in plant response to salt stress [61]. In wheat roots, overexpression of the auxin-related gene (TaSAUR75) increases salt tolerance in Arabidopsis [62]. In addition, Aux/IAA proteins in auxin and ARF transcription factors directly regulate auxin-responsive gene expression, and OsIAA24 and OsIAA20 are up-regulated in rice under high salt stress [63]. In this study, in the comparison group of 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h, the number of auxin up-regulated genes was 15, and the number of down-regulated genes was 27. In the 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h comparison group, the number of auxin up-regulated genes was 28, and the number of down-regulated genes was 14. Particularly, the expression levels of 4 auxin-related genes (Unigene0000292, Unigene0008042, Unigene0048945 and Unigene0073282) were decreased in 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h, but the expression levels of 4 genes increased in the 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h comparison group. It is worthwhile to note that the expression levels of auxin-related genes (Unigene0071678, Unigene0072291, Unigene0018027, Unigene0018885, Unigene0038393, Unigene0050676, Unigene005939, Unigene0070335, Unigene0073285 and Unigene0077555) were up-regulated at 48 h and 168 h of exogenous potassium application under NaCl stress. It is indicated that these differentially expressed genes may play a role in alleviating NaCl injury and are key candidate genes related to auxin in T. ramosissima. Especially, the Log2 fold-change of Unigene0018885, Unigene0038393, Unigene0050676, Unigene0059399, Unigene0070335, Unigene0073285 and Unigene0077555 increased more at 168 h. In addition, under NaCl stress, application of K and P or foliar spraying of IAA may be able to improve the salt tolerance of plants and reduce the adverse effects of salt on plants [64]. It is inferred from this information that under the influence of exogenous potassium addition, a large amount of K+ may be absorbed by the roots in 168 h, which increases the K+/Na+ ratio under NaCl stress and drives the up-regulation of auxin-related genes of T. ramosissima and promotes the growth of T. ramosissima.
JA is a key signaling molecule during plant development and defense [65,66], and it can play an important role in maintaining ion homeostasis [67]. Under salt stress, exogenous MeJA decreased the uptake of Na+ and increased the uptake of Mg2+, Ca2+ and K+ in rice under salt stress [68]. In this study, the expression levels of JA-related genes were up-regulated in the 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h comparison group. It was shown that when T. ramosissima was exposed to exogenous potassium for 48 h under NaCl stress, JA decreased the absorption of Na+ and increased the absorption of K+, and actively resisted the damage of NaCl. However, due to the presence of JA in the mature leaves and roots of higher plants, the content is very low [69]. By this token, this may be the reason for the down-regulation of JA-related gene expression levels in the 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h comparison group in T. ramosissima.
ET is an important part of plant hormones in response to salt stress, and it uses an ethylene signaling pathway to participate in plant responses to salt stress [70]. Application of ET or ACC can improve plant tolerance to high salinity [71], mainly by enhancing the expression of reactive oxygen species (ROS) scavengers [72]. T. ramosissima was treated with exogenous potassium for 48 h and 168 h under NaCl stress, the activity of antioxidant enzymes in leaves was increased, and the up-regulated expression of genes related to antioxidant enzyme activity enhanced its salt tolerance [53]. In cotton, ACO for ET biosynthesis were upregulated under both short- and long-term salt treatments and increased salt tolerance [73]. Ethylene-related gene (Unigene0010277) was consistently up-regulated in the 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h and 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h comparison groups in this study. It indicated that Unigene0010277 played an important role in improving the salt tolerance of T. ramosissima.
Cytokinin (CK) is a major regulator of plant growth and development that controls plant adaptation to salt stress [74,75,76]. In particular, some plants’ up-regulated expression of cytokinin-related genes mitigates the damage caused by salt stress [77,78]. Tamarix hispida salt tolerance was reduced by RNAi expression of ThCRF1 under salt stress. Despite this, ThCRF1 overexpression significantly enhanced salt tolerance of Tamarix hispida by controlling osmotic potential and activating antioxidant enzymes [79]. In this study, the expression level of 1 CK gene (Unigene0045738) in the 200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h and 200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h comparison groups was up-regulated, and Unigene0045738 increased more at 168 h Log2 fold-change. Results showed that cytokinin actively resists salt stress when roots of T. ramosissima are exposed to exogenous potassium for 48 h and 168 h under NaCl stress. Notably, Unigene0045738 is a key candidate gene for cytokinin in response to NaCl stress.

5. Conclusions

During 48 h and 168 h of exogenous potassium application in T. ramosissima roots under NaCl stress, the synthesis, signal transmission and metabolism of various plant hormones participated in the construction of a defense system, and a large number of plant hormones regulate their related genes to actively participate in resistance to NaCl, maintain plant nutritional homeostasis, and ensure normal plant growth. In particular, the interaction between different plant hormones maintains ionic homeostasis by reducing Na+ accumulation, increasing K+ uptake, maintaining ionic homeostasis, and better maintaining K+/Na+ ratio balance, enhancing the activity of antioxidant enzymes, thereby alleviating the damage caused by NaCl. It is worth noting that the plant hormone signal transduction pathway plays an important role in alleviating NaCl stress, but the mechanism of its related gene regulation and the metabolites that alleviate NaCl toxicity remain to be further explored.
To sum up, the important metabolic pathways and key candidate genes related to plant hormones in response to NaCl stress of T. ramosissima after 48 h and 168 h of exogenous potassium application can provide a scientific theoretical basis for the breeding of salt-tolerant varieties and the mitigation of NaCl toxicity by K+.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/genes13101803/s1. Supplementary Table S1: Sequences of specific primers. Supplementary Table S2: Annotation of key candidate genes of plant hormone signal transduction pathway. Supplementary Figure S1: Statistics of differentially expressed genes. Supplementary Figure S2: Expression levels of genes co-annotated in plant hormone signal transduction pathway at 48 h and 168 h. Supplementary Figure S3: Phylogenetic tree analysis of T. ramosissima auxin and other species auxins.

Author Contributions

Conceptualization, Y.C., methodology, Y.C., software, Y.C. and S.Z., formal analysis Y.C., investigation, Y.C., resources Y.C., S.D., G.W. and J.J. data curation, Y.C., writing-original draft preparation, Y.C., writing—review and editing, Y.C. and J.Z., supervision, Y.C., project administration, Y.C. and J.Z., funding acquisition, J.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Jiangsu Province Carbon Peak Carbon Neutral Science and Technology Innovation Project (BE2022420) and China Scholarship Council (202108320311).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

This work was jointly supported by grants from Jiangsu Provincial Water Conservancy Science and Technology Project “Jiangsu Province Carbon Peak Carbon Neutral Science and Technology Innovation Project” (BE2022420) and China Scholarship Council (202108320311).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Top 10 KEGG pathway analysis. (KEGG pathway analysis of the top 10 enrichment of the root of T. ramosissima under NaCl stress for 48 h and 168 h with exogenous potassium. The first and outer circles show the top 20 KEGG pathways enriched, while the scale outside the circle indicates the number of genes. Different colours represent different ontologies. Next, the KEGG pathway number in the background gene along with the Q value can be seen in the second circle. A darker colour indicates a lower Q value, and a lighter colour indicates a higher Q value. Longer bars indicate more genes. Dark colours indicate genes that are upregulated, and light colours indicate genes that are downregulated. Below is a display of the specific value. Last and inner circle: rich factor values for KEGG pathways (the number of differential genes in this pathway divided by all numbers); background grid lines (each grid represents 0.1)).
Figure 1. Top 10 KEGG pathway analysis. (KEGG pathway analysis of the top 10 enrichment of the root of T. ramosissima under NaCl stress for 48 h and 168 h with exogenous potassium. The first and outer circles show the top 20 KEGG pathways enriched, while the scale outside the circle indicates the number of genes. Different colours represent different ontologies. Next, the KEGG pathway number in the background gene along with the Q value can be seen in the second circle. A darker colour indicates a lower Q value, and a lighter colour indicates a higher Q value. Longer bars indicate more genes. Dark colours indicate genes that are upregulated, and light colours indicate genes that are downregulated. Below is a display of the specific value. Last and inner circle: rich factor values for KEGG pathways (the number of differential genes in this pathway divided by all numbers); background grid lines (each grid represents 0.1)).
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Figure 2. Plant hormone signal transduction pathway. (Exogenous potassium was applied to the roots of T. ramosissima for 48 h and 168 h under NaCl stress, and the gene expression changes were annotated to signal transduction pathways associated with plant hormones. The black pixels indicate DEGs whose expression levels are down-regulated, and the red pixels indicate DEGs whose expression levels are up-regulated).
Figure 2. Plant hormone signal transduction pathway. (Exogenous potassium was applied to the roots of T. ramosissima for 48 h and 168 h under NaCl stress, and the gene expression changes were annotated to signal transduction pathways associated with plant hormones. The black pixels indicate DEGs whose expression levels are down-regulated, and the red pixels indicate DEGs whose expression levels are up-regulated).
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Figure 3. Changes in the expression of key DEGs in the plant hormone signal transduction pathway. (The roots of T. ramosissima were exposed to exogenous potassium for 48 h and 168 h under NaCl stress, and the expression levels of 10 key candidate genes in the Plant hormone signal transduction pathway changed. Note: p ≥ 0.05 is not marked; 0.01 < p < 0.05 is marked as *; 0.001 < p < 0.01 is marked as **; p ≤ 0.001 is marked as ***).
Figure 3. Changes in the expression of key DEGs in the plant hormone signal transduction pathway. (The roots of T. ramosissima were exposed to exogenous potassium for 48 h and 168 h under NaCl stress, and the expression levels of 10 key candidate genes in the Plant hormone signal transduction pathway changed. Note: p ≥ 0.05 is not marked; 0.01 < p < 0.05 is marked as *; 0.001 < p < 0.01 is marked as **; p ≤ 0.001 is marked as ***).
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Figure 4. Statistical chart of the expression number of key plant hormone genes in the roots of T. ramosissima by exogenous potassium application under NaCl stress. (The number of up-regulated and down-regulated changes of 56 plant hormone key genes found in the roots of T. ramosissima under NaCl stress for 48 h and 168 h with exogenous potassium).
Figure 4. Statistical chart of the expression number of key plant hormone genes in the roots of T. ramosissima by exogenous potassium application under NaCl stress. (The number of up-regulated and down-regulated changes of 56 plant hormone key genes found in the roots of T. ramosissima under NaCl stress for 48 h and 168 h with exogenous potassium).
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Figure 5. Validation of DEGs by qRT-PCR. (7 DEGs were randomly selected for qRT-PCR validation, and the error bars were obtained from multiple replicates of qRT-PCR. Note: p ≥ 0.05 is not marked; 0.01 < p < 0.05 is marked as *; 0.001 < p < 0.01 is marked as **; p ≤ 0.001 is marked as ***; Blue color Numerical value has been shown on the left side of the Y axis; Red color: Numerical value has been shown on the right side of the Y axis).
Figure 5. Validation of DEGs by qRT-PCR. (7 DEGs were randomly selected for qRT-PCR validation, and the error bars were obtained from multiple replicates of qRT-PCR. Note: p ≥ 0.05 is not marked; 0.01 < p < 0.05 is marked as *; 0.001 < p < 0.01 is marked as **; p ≤ 0.001 is marked as ***; Blue color Numerical value has been shown on the left side of the Y axis; Red color: Numerical value has been shown on the right side of the Y axis).
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Table
Table 1. Top 10 KEGG pathways.
Table 1. Top 10 KEGG pathways.
NumberPathwayPathway Annotated Genesp-ValuePathway ID
200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h
1Photosynthesis830.000000ko00195
2Ribosome7030.000000ko03010
3Flavonoid biosynthesis250.000000ko00941
4Photosynthesis—antenna proteins520.000000ko00196
5Phenylpropanoid biosynthesis630.000000ko00940
6Plant hormone signal transduction740.000079ko04075
7Stilbenoid, diarylheptanoid and gingerol biosynthesis120.000824ko00945
8Zeatin biosynthesis90.004980ko00908
9Cutin, suberine and wax biosynthesis110.008045ko00073
10Carotenoid biosynthesis150.011468ko00906
200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h
1Ribosome7030.000000ko03010
2Phenylpropanoid biosynthesis570.000000ko00940
3Plant hormone signal transduction700.000002ko04075
4Zeatin biosynthesis110.000042ko00908
5Glycerolipid metabolism440.001344ko00561
6Brassinosteroid biosynthesis60.005758ko00905
7Flavonoid biosynthesis120.007853ko00941
8Cutin, suberine and wax biosynthesis90.020172ko00073
9Monoterpenoid biosynthesis20.020236ko00902
10Diterpenoid biosynthesis70.021957ko00904
Table
Table 2. Plant hormone candidate gene for exogenous potassium application in T. ramosissima roots under NaCl stress.
Table 2. Plant hormone candidate gene for exogenous potassium application in T. ramosissima roots under NaCl stress.
PathwayGene IDDescriptionLog2 Fold-Change
200 mM NaCl-48 h vs. 200 mM NaCl + 10 mM KCl-48 h200 mM NaCl-168 h vs. 200 mM NaCl + 10 mM KCl-168 h
Abscisic Acid
ko00906Unigene0079211Abscisic acid 8′-hydroxylase 2-like 0.444.17
Unigene0063711Abscisic acid 8′-hydroxylase 4.621.50
Unigene0008844Abscisic acid 8′-hydroxylase 2-like 0.582.74
Unigene0027741Abscisic acid 8′-hydroxylase CYP707A2 isoform X1 1.70−0.01
ko04016; ko04075Unigene0080236Abscisic acid receptor PYL2-like 0.057.85
Unigene0039063Abscisic acid receptor PYR1-like −0.490.28
Unigene0044630Abscisic acid receptor PYL4-like 0.441.14
Unigene0054686Abscisic acid receptor PYR1-like 2.01−0.97
Unigene0071368Abscisic acid receptor PYL42.090.03
ko04075Unigene0028134Abscisic acid-insensitive 5-like protein 2 −1.79−1.33
Auxin
ko04075Unigene0000292Auxin-responsive protein IAA14-like −0.250.06
Unigene0003420Auxin response factor 3-like −1.73−1.08
Unigene0008042Auxin-responsive protein IAA14 −1.510.50
Unigene0009423Auxin −0.760.17
Unigene0011116Auxin-responsive protein SAUR32-like−0.13−0.07
Unigene0018027Auxin-responsive protein SAUR21 10.018.49
Unigene0018598Auxin-induced protein AUX22-like −1.04−2.11
Unigene0018885Auxin-responsive protein SAUR36 1.162.07
Unigene0019018Auxin-responsive protein SAUR50-like −3.55−0.04
Unigene0029265Auxin-induced protein 22D-like −0.352.06
Unigene0030611Auxin-responsive protein SAUR507.32−9.42
Unigene0031005Auxin response factor 1-like−0.98−0.12
Unigene0038393Auxin-responsive protein SAUR720.340.69
Unigene0046011Auxin-responsive protein SAUR32 −0.011.59
Unigene0047953Auxin-responsive protein SAUR32 −0.780.27
Unigene0048320Auxin response factor 9-like −0.070.37
Unigene0048945Auxin-induced protein 15A-like −2.510.37
Unigene0050061Auxin-responsive protein IAA9−1.17−0.97
Unigene0050675Auxin transporter-like protein 3 −0.203.19
Unigene0050676Auxin transporter-like protein 30.233.33
Unigene0050677Auxin transporter-like protein 5 isoform X1−2.080.11
Unigene0052348Auxin-responsive protein IAA29-like 1.39−1.38
Unigene0054810Auxin-responsive protein SAUR50 0.83−1.01
Unigene0059004Auxin-induced protein 22B −0.130.23
Unigene0059322Auxin-responsive protein SAUR50−0.080.70
Unigene0059399Auxin-induced protein 6B-like 0.410.59
Unigene0065338Auxin transporter-like protein 40.14−0.09
Unigene0065339Auxin transporter-like protein 2−0.920.26
Unigene0070335Auxin-responsive protein SAUR71-like 0.711.27
Unigene0071678Auxin-responsive protein IAA260.290.78
Unigene0072291Auxin-responsive protein IAA26-like 0.400.40
Unigene0073282Auxin-responsive protein IAA27-like protein−3.441.20
Unigene0073285Auxin-responsive protein 0.519.06
Unigene0074040Auxin-responsive protein IAA31 −0.431.44
Unigene0077555Auxin-induced protein 6B-like 0.140.74
Unigene0085809Auxin-responsive protein SAUR71-like 0.98−0.61
Unigene0088743Auxin response factor 3-like−0.22−0.51
Unigene0089917Auxin-responsive protein IAA8-like isoform X2 −0.230.55
Unigene0091437Auxin-responsive protein IAA7−0.301.68
Unigene0097673Auxin response factor 11−0.421.35
Unigene0102316Auxin-induced protein 15A-like −2.88−1.47
Unigene0105390Auxin-responsive protein SAUR71-like −2.70−1.07
Ethylene
ko04016; ko04075;Unigene0010277Ethylene response factor 111.940.72
ko04626Unigene0080149Ethylene response factor 6−0.47−0.47
Jasmonic acid
ko04075Unigene0038537Jasmonic acid-amido synthetase JAR11.82−1.54
Cytokinin
ko00908Unigene0045738Cytokinin oxidase/dehydrogenase1.873.55
Table
Table 3. Information sheet for 25 species.
Table 3. Information sheet for 25 species.
FamilySpeciesDescriptionProtein IDCDS (bp)ORF Length (aa)
EuphorbiaceaeRicinus communisAuxin-responsive protein IAA14XP_002517023.3711236
ActinidiaceaeActinidia chinensis var. chinensisAuxin-responsive proteinPSS33813.1681226
AnacardiaceaePistacia veraAuxin response factor 5XP_031270171.12841946
AmaranthaceaeChenopodium quinoaAuxin-induced protein 22D-likeXP_021742258.1546181
CucurbitaceaeCucumis sativusAuxin-responsive protein SAUR32XP_011656853.1303100
SolanaceaeCapsicum chinenseAuxin-responsive protein SAUR32PHT98376.1501166
Pedaliaceae Sesamum indicumAuxin response factor 9 XP_011074533.11890629
RosaceaePyrus bretschneideriAuxin-responsive protein SAUR50 XP_009335221.1318105
OleaceaeOlea europaea subsp. EuropaeaAuxin transporter 3CAA3012958.11398465
FagaceaeQuercus suberAuxin transporter-like protein 5XP_023883666.11473490
AnacardiaceaeMangifera indicaAuxin-induced protein 22B-likeXP_044499499.1570189
VitaceaeVitis viniferaAuxin-responsive protein SAUR50 RVW80229.1561186
EuphorbiaceaeManihot esculentaAuxin transporter-like protein 2XP_021623668.11452483
ProteaceaeTelopea speciosissimaAuxin-responsive protein IAA27XP_043724596.1981326
RosaceaeRosa chinensisAuxin-responsive protein IAA31 XP_024192080.1633210
RosaceaeMalus domesticaAuxin responsive proteinAZI15332.11092363
BrassicaceaeBrassica napusAuxin-responsive protein IAA7XP_013749219.1729242
AmaranthaceaeSpinacia oleraceaAuxin response factor 11 XP_021846673.11995664
PapaveraceaeMacleaya cordataAuxin-induced proteinOVA12640.128594
MalvaceaeDurio zibethinusAuxin-induced protein 6B-likeXP_022772137.1438145
TheaceaeCamellia sinensisAuxin-responsive protein SAUR71-likeXP_028108662.1402133
MyricaceaeMorella rubraAuxin-responsive protein IAA26KAB1218495.11098365
RosaceaePrunus aviumAuxin-responsive protein IAA26-likeXP_021818768.11080359
MalvaceaeHerrania umbraticaAuxin-responsive protein IAA27XP_021276374.1919312
CucurbitaceaeMomordica charantiaAuxin-induced protein 6B-likeXP_022138000.1453150
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Chen, Y.; Zhang, S.; Du, S.; Wang, G.; Zhang, J.; Jiang, J. Effects of Exogenous (K+) Potassium Application on Plant Hormones in the Roots of Tamarix ramosissima under NaCl Stress. Genes 2022, 13, 1803. https://doi.org/10.3390/genes13101803

AMA Style

Chen Y, Zhang S, Du S, Wang G, Zhang J, Jiang J. Effects of Exogenous (K+) Potassium Application on Plant Hormones in the Roots of Tamarix ramosissima under NaCl Stress. Genes. 2022; 13(10):1803. https://doi.org/10.3390/genes13101803

Chicago/Turabian Style

Chen, Yahui, Shiyang Zhang, Shanfeng Du, Guangyu Wang, Jinchi Zhang, and Jiang Jiang. 2022. "Effects of Exogenous (K+) Potassium Application on Plant Hormones in the Roots of Tamarix ramosissima under NaCl Stress" Genes 13, no. 10: 1803. https://doi.org/10.3390/genes13101803

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