Figures
Abstract
Late embryogenesis abundant (LEA) proteins are widely involved in many adverse conditions among plants. In this study, we isolated a LEA4 gene from alfalfa (Medicago sativa L.) termed MsLEA4-4 via a homology cloning strategy. MsLEA4-4 encodes 166 amino acids, and the structural analysis showed that the gene contained five repeating TAQAAKEKTQQ amino acid motifs. There were a large number of α-helix in MsLEA4-4, and belongs to hydrophilic amino acid. Subcellular localization analysis showed that MsLEA4-4 was localized in the nucleus. The MsLEA4-4 promoter consisted of G-box and A-box elements, abscisic acid-responsive elements (ABREs), photo regulation and photoperiodic-controlling cis-acting elements, and endosperm expression motifs. The MsLEA4-4 overexpressing in Arabidopsis conferred late-germination phenotypes. Resistance of the overexpressed plants to abiotic stress significantly outperformed the wild-type (WT) plants. Under salt stress and abscisic acid treatment, with more lateral roots and higher chlorophyll content, the overexpressed plants has a higher survival rate measured against WT. Compared to those in the WT plants, the levels of soluble sugar and the activity of various antioxidant enzymes were elevated in the overexpressed plants, whereas the levels of proline and malondialdehyde were significantly reduced. The expression levels of several genes such as ABF3, ABI5, NCED5, and NCED9 increased markedly in the overexpressed plants compared to the WT under osmotic stress.
Citation: Jia H, Wang X, Shi Y, Wu X, Wang Y, Liu J, et al. (2020) Overexpression of Medicago sativa LEA4-4 can improve the salt, drought, and oxidation resistance of transgenic Arabidopsis. PLoS ONE 15(6): e0234085. https://doi.org/10.1371/journal.pone.0234085
Editor: Keqiang Wu, National Taiwan University, TAIWAN
Received: December 2, 2019; Accepted: May 18, 2020; Published: June 4, 2020
Copyright: © 2020 Jia et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the manuscript and its Supporting Information files.
Funding: The work was supported by a grant from the Special Funds for the Technical System of the Modern Agricultural Industry of China (CARS-34), by the Species Resources Conservation of China (2130135) and by the Key Research and Development Projects of ShanXi (201703D211002-9-2).
Competing interests: The authors have declared that no competing interests exist.
Introduction
During growth and development, plants tend to be subjected to various abiotic stresses, such as drought and flood disasters, extreme temperatures, and soil salinity, which can lead to hydropenia due to their immobility [1–3]. Dehydration can result in a series of physiological disorders in plants, such as respiration and photosynthesis disorders [4–6]. In the long process of evolutionary, plants have formed their own protection mechanisms to withstand the effect of drought, salinity and low temperature, to ensure their normal growth and development [7–9]. Various transcription factors, antioxidant enzyme genes and functional proteins play important roles in this process [10]. LEA, or dehydrin among the proteins involved in the mechanism of various abiotic, features prominently in plant abiotic stress resistance and cell repair and can be activate by calcium signals [11].
LEA proteins were first found to accumulate at the late stage of cotton (Gossypium spp.) seeds development [12,13]. They can also be found in vegetative tissues in plants subjected to abiotic stress, and in bacteria and some invertebrates [14, 15]. LEA proteins are key proteins involved in cell antistress protection that can prevent protein aggregation caused by drought and improve plant tolerance to drought [16,17]. LEA protein synthesis can protect biological membranes from damage at low temperature and increase the resistance of plants to freezing conditions [18,19]. These proteins can also reduce osmotic pressure by stabilizing cell membranes, isolating or binding ions, and reducing cell dehydration and structural damage under hyperosmotic and hypersaline conditions [20]. Therefore, their expression is bound up with the antistress protection of plant cells [21]. With the development of modern biological technologies, LEA proteins in various species have been identified and proved to be characterized by resistance to drought, cold and salt [22]. The LEA gene family was first reported in Arabidopsis thaliana. There were 34, 35, 78, and 32 LEA proteins have been detected in rice (Oryza sativa) [23], cucumber (Cucumis sativus) [24], and corn (Zea mays) [25]. In Medicago truncatula, 23 LEA proteins have been found [26]. Upland cotton contains a variety of LEA genes; there are 242, 136 and 142 LEA in Gossypium hirsutum, Gossypium arboretum and Gossypium raimondii [27].
Various LEA proteins exhibit high hydrophilicity and thermal stability, and are rich in glycine or other amino acids, such as alanine, serine, and threonine [23]. Studies have focused more on LEA 1, LEA 2, and LEA 3 than on other LEA proteins. LEA 1, with the ability to improve plant stress tolerance, has been widely studied in soybean [28,29]. LEA 2 and LEA 3 have been investigated in various plants, but further studies on wheat should be performed [30]. LEA 4 also ubiquitous in plants, had been cloned from Arabidopsis, corn, soybean, and caragana (Caragana korshinskii), and it had been shown to be most abundant in the LEA family of A. thaliana [31,32]. Due to a large number of a-helix in LEA4, most of them have a strong hydrophilicity, which favors cells to enhance the water absorption under drought stress [33]. LEA4 has been transferred into A. thaliana, Oryza sativa and other plants, and the overexpressed plants show high resistance to salt and drought stress [34]. Several studies, such as expression pattern, cellular localization, transgenic plant-related, and protein characterization studies, have obtained data on the protective functions of LEA1-3. However, studies on LEA4 are relatively scarce, and the function and mechanism of action of this protein remain unclear.
Alfalfa (Medicago sativa L.), a perennial legume rich in crude protein, vitamins, and various minerals, has been widely cultivated across the world. Ruminant such as cows and goats demonstrate a preference for this legume with high dietary fiber [35,36]. This crop is digestible and well-absorbed, and is primarily used as feed in the form of dried hay, haylage, and grazing material dairy cow, sheep, and beef production systems [37]. Alfalfa has a long resistance to drought stress during its growth, and its yield does not decrease under 50 mM salt stress [38]. However, adverse external conditions, such as high salinity, drought, high temperature, and other types of stress, negatively affect the yield and quality of alfalfa [39,40]. Therefore, breeding alfalfa varieties resistant to salt, drought, and low temperature represent the goal and task of modern breeders [41]. Several stress-related genes, such as those encoding zinc finger proteins and transcription factors and those participating in metabolic pathways, have been cloned from alfalfa [42]. Analyzing the mechanisms of action of genes related to abiotic stress and providing a basis for breeding resistant alfalfa are the emphasis and challenges of current studies [43,44].
In this study, we isolated and characterized a LEA4 gene from M. sativa designated MsLEA4-4. The expression of this gene was influenced by abiotic stresses, such as salt, drought, and low temperature. MsLEA4-4 overexpressing in A. thaliana improved the antioxidant capacity of the resulting transgenic plants and significantly increased stress resistance.
Materials and methods
Plant materials
The Zhongmu No. 1 strain from the Beijing Animal Husbandry and Veterinary Research Institute of the Chinese Academy of Agricultural Sciences was utilized in this study. The seeds were disinfected with chlorine and germinated at 24°C. Then the seedlings were transferred to nutrient solution to grow until the time the first true leaf emerged, and the grow condition was 26°C/22°C, 16 h light/8 h dark.
In this study, the Columbia-0 A. thaliana was utilized. The seeds were planted on 1/2 MS nutrient medium after sterilized with ethanol and sodium hypochlorite and washed with double-distilled water. The seedlings were transferred to soil to grow after 4 weeks amid 22°C/18°C, 16 h light/8 h dark.
Stress treatments
The abiotic stresses in this experiment were NaCl (0, 50, 100, 150, 200, 250, and 300 mM), H2O2 (200 mM), NO (0.1 mM Na2Fe(NO)5), drought (100, 150, and 200 mM mannitol), and low temperature (4°C). The plants were also subjected to light stress (0, 6, 12, 24, 48, and 72 h), dark stress (0, 6, 12, 24, 48, and 72 h), light recovery after dark stress (15 min, 30 min, 2, 12, 24, 48, and 72 h), and photoperiod stress (0 h light/24 h dark, 4 h light/20 h dark, 8 h light/16 h dark, 12 h light/12 h dark, 16 h light/8 h dark, 20 h light/4 h dark, and 24 h light/0 h dark).
Phytohormone treatments
The phytohormone treatments in this experiment were abscisic acid (ABA) (0.1 mM) and gibberellins (GA) (100 mg/ml). The plant growth condition was identified in ABA and GA treatment.
Vector construction and transformation
According to the unigene of similar LEA sequences obtained from transcriptome sequencing, LEA4-4 from M. sativa L. was cloned using the rapid amplification of cDNA ends (RACE) technique with the primers 5′-AAAGAATGGCATCCCACGACC-3′ and 5′-CTCAATCAACAACGTTACGACGG-3′. A 498 bp MsLEA4-4 opening reading frame (ORF) was amplified. The ORF sequence containing the restriction enzyme BglII and BsteII (S1 Table) recognition sites were inserted into the pCAMBIA3301 vector (S1A Fig). GV3101 strain was served to transform the MsLEA4-4 ORF to A. thaliana by inflorescence infection. The overexpressed plants were filtered on 1/2 MS nutrient medium containing glufosinate-ammonium (50 mg/L) and analyzed by PCR and quantitative real-time PCR (qRT-PCR) on the genomic and transcriptional levels, respectively. The screening procedure was repeated until T3 transgenic plants were obtained; these plants were used in subsequent experiments.
Subcellular localization
The MsLEA4-4 ORF sequence, which contained Xhol and SpeI recognition sites (S1 Table), was inserted into the pA7-green fluorescent protein (GFP) vector (S1B Fig). MsLEA4-4-pA7-GFP fusion expression vector was imported into onion epidermal cells with a gun bombardment, and the GFP gene were expressed instantaneously. Then, the fluorescent signal was observed after incubation for 20 h in darkness at 25°C.
Southern blot analysis
The MsLEA4-4 coding sequence was labeled with digoxigenin (DIG) using DIG probe synthesis kit (Roche) and used as a hybridization probe. DNA was extracted from 2-week-old overexpressed plants and digested 16 h with restriction enzymes EcoRI and HindIII. The prepared DNA was run on a 0.7% agarose gel electrophoresis overnight under 4°C and 25 V constant voltages, and then was transferred to a Hybond N+ nylon membrane (Amersham) after 20 hours. The membrane was marked, washed with 2×SSC (salinesodium citrate buffer), baked at 80°C for 2 h to fix the DNA, afterwards, the membrane was placed in a hybridization tube containing the hybridization buffer and probe for overnight hybridization at 42°C. After that, the membrane was respectively washed with 2 × SSC and 1 × SSC for 15 min, then added antibody solution for 30 min incubation. Then the membrane was washed twice for 15 min with washing buffer and equilibrated 5 min in detection buffer. Finally, the membrane was incubated in prepared color substrate solution for 1–3 h in the dark to detect the bands.
qRT-PCR analysis
Total RNA was extracted from seedlings aged 4 weeks by Trizol (Life Technologies, USA) method, and DNA contamination was removed by DNase. Reverse transcribed total RNA into cDNA according to the RevertAidTM First Strand cDNA Synthesis kit. SYBR Green PCR Master Mix (Takara, Japan) was utilized to qRT-PCR, and the reaction system was 20 μl and need 5 ng cDNA. ABI 7500 was used and two-step method for qRT-PCR was as follows: step 1, 95°C for 30 s; step 2, 41 cycles of 95°C for 5 s and 60°C for 34 s. All primers are listed in S1 Table. The reference genes were AtActin and MsActin2 (S1 Table). The 2-ΔΔCt method acted to measure the expression levels of different treatments according to the obtained Ct values [45]. All experiments have three biological replicates and three technical replicates.
Growth index measurement
Seeds of T3 overexpressed plants and wild-type (WT) plants were sterilized and seeded on 1/2 MS nutrient medium to germinate for 5 days. After that, the seedlings were transferred to 1/2 MS containing 50 mM NaCl and 150 mM mannitol to grow 7 days. Lateral root numbers was assessed and the fresh weight was measured. Each measurement had 20 seedlings and replicated three times.
The overexpressed and WT seeds were both seeded on 1/2 MS nutrient medium containing 200 mM NaCl, 0.1 mM ABA and 100 mM mannitol. After 72 h of vernalization, the seedlings were grown in an illumination incubator (22°C/18°C, 16 h light/8 h dark) for 10 days for the analysis of the germination rate. Each sample comprised 100 seeds and performed on three biological replicates.
For measurement of chlorophyll content, seedlings were grown in an illumination incubator (22°C/18°C, 16 h light/8 h dark) for 7 days and transferred to 1/2 MS nutrient medium containing ABA (0.1 mM), H2O2 (10 mM) and NaCl (300 mM) for another 7-day growth. Chlorophyll was measured according to the methods of Zhang et al. [46]; 0.1 g of seedlings were dipped in 10 ml of 80% acetone and kept away from light for 72 h, and then the absorbance values at wavelengths of 663 and 646 nm were measured. Each adversity stress treatment has three biological replicates.
Physiological indexes measurements
The content of proline (Pro), malondialdehyde (MDA) and soluble sugar depended on the acid indanone method, thiobarbituric acid method, anthrone colorimetric method, respectively. Activity levels of superoxide dismutase (SOD), peroxidase (POD), and catalase (CAT) activity levels were determined with appropriate kits. All kits were obtained from Nanjing Jiancheng Bioengineering Institute.
Expression levels of several genes related to osmotic stress
Seeds of T3 overexpressed and WT were seeded on 1/2 MS nutrient medium (22°C/18°C, 16 h light/8 h dark) to grow two weeks. Then RNA was extracted from fresh tissue, reverse translation to cDNA for qRT-PCR to detect the expression levels of several genes responsive to osmotic stress (NCED9, NCED5, ABF3, ABI5, RD29A, RAB18, and P5CS).
Results
Cloning and sequence analysis of MsLEA4-4 from M. sativa L.
According to a 225 bp unigene of similar LEA sequences (unpublished), obtained from transcriptome sequencing, LEA4-4 from M. sativa L. was cloned via RACE, and several approaches were applied to establish the presence of LEA4 gene in alfalfa leaves. The MsLEA4-4 fragment contains a 498 bp ORF and encodes a protein of 166 amino acids. The protein was rich in glycine (G), alanine (A), glutamine (Q), lysine (K), arginine (R), and threonine (T), despite a shortage of cysteine (W) and tryptophan (C). In addition, five imperfect 11-mer motifs were presented in the deduced MsLEA4-4 protein (Fig 1A).
(A) ORF sequences and deduced amino acid sequences of MsLEA4-4. There are five imperfect 11-mer motifs in the deduced proteins, as shown by the five boxes. (B) Phylogenetic tree analysis of MsLEA4-4 and other LEA4 proteins. The neighbor-joining method was used to analyse the phylogenetic tree using the following LEA protein sequences downloaded from NCBI: MtLEA4-2 XP_003593602.1 (M. truncatula) MtLEA4-3 XP_003593603.1 (M. truncatula) MtLEA4-1 XP_003590405.1 (M. truncatula) MtLEA4-4 4XP_003595694.1 (M. truncatula) GmLEA4 AAU94912.1 (G. max) GsLEA4 AAU94911.1 (G. soja) AhLEA4 APO15550.1 (A. hypogaea) AtLEA4-5 NP196294.1 (A. thaliana) EgLEA4 AFG26321.1 (Elaeis guineensis) GaLEA4 EPS73164.1 (Genlisea aurea) ZmLEA4 NP 001150746.2 (Z. may) GhLEA4 AAA33057.1 (Gossypium hirsutum) JcLEA4 NP 001292972.1(J. curcas) SlLEA4 ABA39836.1 (Solanum lycopersicum) CaLEA4 All99861.1(Cicer arietinum). The bootstrap values (500 replicates) are shown on the branches. (C) Predicted α-helix for amino acid sequence of MsLEA4-4. (D) Predicted hydrophilicity/hydrophobicity for amino acid sequence of MsLEA4-4.
The BLAST function in NCBI was used for sequence alignment, and the results showed that MsLEA4-4 shared high sequence similarity with LEAs from other species. MsLEA4-4 is 96% homologous to the M. truncatula sequence and 52%–82% homologous to A. thaliana, Glycine soja, Cicer arietinum, and Trifolium subterraneum sequences. Phylogenetic tree analysis showed the similar to MtLEA4-4 from M. truncatula (Fig 1B). This finding indicated that the gene might take on the role of LEA4-4 protein. Thus, the identified gene was named MsLEA4-4.
The MsLEA4-4 amino acid sequence was predicted by Bioinf software (http://bioinf.cs.ucl.ac.uk/psipred/), and showed that there were a large number of α-helices in MsLEA4-4 amino acid sequence (Fig 1C). The hydrophilicity/hydrophobicity of MsLEA4-4 was predicted by https://web.expasy.org/protscale/. Most of the amino acids in MsLEA4-4 were below 0, the lower the amino acid score, the stronger of the hydrophilicity. Therefore, MsLEA4-4 was composed of hydrophilic amino acids (Fig 1D).
Expression pattern and subcellular localization of MsLEA4-4
Extracted RNAs from the roots, stems, leaves, flowers and seeds of the same alfalfa plant and the expression patterns of MsLEA4-4 in alfalfa were analyzed through qRT-PCR. The results showed that MsLEA4-4 was expressed in the root, stem, legume, and seeds, with the highest expression in the legume. The relative expression of MsLEA4-4 reached 22.65 in the legume, whereas in leaves and flowers it was probably too low to be detected (Fig 2A).
(A) Expression levels of MsLEA4-4 in different tissues of M. Sativa. RNA was extracted from different organs of alfalfa. The data were reduplicated three times and showed as mean±SD. (B) Subcellular localization of the MsLEA4-4 protein in onion epidermal cells. (a) Photograph of pA7-MsLEA4-4-GFP was taken in a dark field for green fluorescence. (b) Photograph of pA7-MsLEA4-4-GFP was taken in a bright light. (c) Photograph of pA7-GFP was taken in a dark field for green fluorescence. (d) Photograph of pA7-GFP was taken in a bright light. The fusion constructor pA7-MsLEA4-4-GFP and control plasmid pA7-GFP were transferred into onion epidermal cells by particle bombardment. After 16 h (25°C), the two transformed cells were observed under a confocal microscope.
The recombinant plasmid pA7-MsLEA4-4-GFP and the empty vector pA7-GFP were transformed to onion epidermal cells through particle bombardment. Using a laser-scanning confocal microscope, we obtained images under dark conditions after 20 h. The empty vector pA7-GFP exhibited a GFP signal throughout the cell wall and the cell nucleus. However, it was detected only in the nuclei of cells transformed with the vector harboring the MsLEA4-4 protein (Fig 2B).
cis-element analysis of MsLEA4-4 promoter
A 490 bp promoter of MsLEA4-4 was cloned with a Genome Walking Kit (Takara) to elucidate the molecular components regulating MsLEA4-4 gene expression. The primers used are shown in table (S1 Table). The promoter sequences were analyzed using the Plant CARE program. From that, we found 9 TATA sequences, 3 CAAT enhancer boxes, and 18 putative regulatory cis-elements in the promoter. 11, 3, 2, 1, and 1 cis-elements were related to light responsiveness, ABA responsiveness, endosperm expression, GA responsiveness, and circadian control (Table 1).
MsLEA4-4 expression levels in alfalfa under phytohormone treatment and light conditions
MsLEA4-4 expression levels were examined in alfalfa under different illumination times, photoperiods, and stress durations upon treatment with 0.1 mM ABA and 100 mg/ml GA because of the presence of cis-elements in the MsLEA4-4 promoter. As shown in Fig 3A and 3B, under ABA and GA treatment, MsLEA4-4 expression in alfalfa suffered a steep decline in 2–4 h. The MsLEA4-4 expression returned the control levels at 6 h, nudged toward the highest level at 12 h, and moved down to the control level at 48 and 72 h under ABA treatment (Fig 3A). Under GA treatment, the MsLEA4-4 expression levels returned to control levels at 24 h, edged up the peak at 48 h, and plunged close to zero at 72 h (Fig 3B). Photoperiod affects plant flowering, growth development and dormancy. Our data showed up that MsLEA4-4 expression levels saw a marked increase in response to photoperiods, and the effect of short-day photoperiods overshadowed the long-day (Fig 3C). Constant light and darkness increased MsLEA4-4 expression levels; these levels gradually increased with prolonged induction time and reached amaximum at 72 h (Fig 3D). Seedlings were also conditioned to darkness for 72 h and then allowed to recover in light. MsLEA4-4 expression at 15 min, 30 min, 2, 12, 24, 48, and 72 h was measured. The data clearly showed that MsLEA4-4 expression levels slumped at 15 min and continued to decrease as the duration of light treatment was extended. Specifically, MsLEA4-4 expression plummeted at 2 h and then returned to the control level at 12 h. A sharp decline at 72 h came after an upsurge at 24 and 48 h in MsLEA4-4 expression (Fig 3E). These data suggested that both the presence and absence of light regulated MsLEA4-4 expression.
(A) The expression of MsLEA4-4 in alfalfa under ABA treatment. (B) The expression of MsLEA4-4 in alfalfa under GA treatment. RNA was extracted from 4-week-old alfalfa seedlings treated with 0.1 mM ABA and 10 mg/ml GA at different times. (C) The expression of MsLEA4-4 under different photoperiods. Alfalfa seedlings at 4 weeks of age were maintained under different photoperiods, and RNA was extracted after 1 week. (D) The expression of MsLEA4-4 under different illumination times. (E) The expression levels of MsLEA4-4 in response to dark and light. Four-week-old alfalfa was placed darkness for 72 h then transferred to light conditions to grow, and the RNA of alfalfa in different time was extracted. The data were replicated three times and showed as mean±SD.
Transformation of Arabidopsis and phenotypic modulation
pCAMBIA3301 belongs to CaMV 35S promoter, which was utilized to express MsLEA4-4 in this study. This 35S:MsLEA4-4 recombinant plasmid and the pCAMBIA3301 empty vector were transformed into A. thaliana. The PCR and qRT-PCR were performed to identify overexpressed plants with the primers for the NptII and MsLEA4-4 gene sequences (S1 Table). 7 overexpressed plants were proved to contain MsLEA4-4 (Fig 4A). The extracted DNA from 4-week-old overexpressed plants served for BglII/BsteII enzymatic digestion of the overexpression vector pCAMBIA3301-MsLEA4-4. Two bands were detected in the electrophoretogram. The uppermost band was pCAMBIA3301, with the lower band of MsLEA4-4 (Fig 4B). In the overexpressed plants, MsLEA4-4 was inserted into the A. thaliana. genome randomly because of different restriction endonucleases sites. In addition, the expression level of MsLEA4-4 was either high or low. qRT-PCR was conducted to examine the transcript levels of the introduced MsLEA4-4 in A. thaliana, and the results confirmed that MsLEA4-4 was highly expressed in three overexpressed plants (OE1, OE4, and OE8) (Fig 4C). The MsLEA4-4 was confirmed integrated into the genomic DNA of overexpressed plants (OE1, OE4 and OE8) by southern blot analysis. The result showed that there was no hybridization band in WT, while the overexpressed plants (OE1, OE4 and OE8) showed obvious hybridization signals and they were revealed single copy in the genomic DNA (S2 Fig). So the overexpressed plants (OE1, OE4 and OE8) could use in the subsequent functional experiment. Seed germination was observed for the overexpressed plants harboring MsLEA4-4 (OE 1, OE 4, and OE 8) and WT under standard culture conditions was observed. The result was the seeds of overexpressed plants germinated approximately 2 days earlier than the WT (Fig 4D).
(A) Molecular confirmation of MsLEA4-4 overexpressed plants. DNA was extracted from 4-week-old A. thaliana seedlings. The PCR primers were from NptII and MsLEA4-4 (S1 Table). (B) Enzymatic digestion of the overexpression vector pCAMBIA3301-MsLEA4-4. BglII and BsteII were used for the digestion. (C) Expression analysis of MsLEA4-4 in 7 overexpressed plants. Total RNA was extracted from both overexpressed plants and WT seedlings aged 4 weeks. The data were replicated three times and showed as mean ± SD. (D) Germination of MsLEA4-4-overexpressing plants and WT. The germination of the overexpressed and WT seeds was observed on the 2nd day, the 3rd day and the 4th day.
Germination of MsLEA4-4 overexpressed plants in response to abiotic stress treatment
The germination rates of the seeds of MsLEA4-4-overexpressing A. thaliana plants (OE1, OE4, and OE8) and WT were measured under different abiotic stresses and ABA treatment. Each culture dish consisted of 100 seed, and 3 biological repeats. The data showed up that under NaCl stress, the germination rates of overexpressed plants (OE1, OE4, and OE8) reached 37.5%, 41.2%, and 55.8% on the 10th day, respectively, whereas that of the WT was only 11% (Fig 5A). Under ABA treatment, its germination was delayed with a lower germination rate, beginning on the 5th day. As of the 8th day, the germination rate of overexpressed plants reached 59.5%–73.6%, whereas that of the WT was only 6.1% (Fig 5B). The germination of overexpressed plants came 3 days earlier measured against WT under mannitol stress, with the germination rate of 100% on the 5th day. The germination rate of the WT seeds was observed on the 7th day (Fig 5C). To subject seeds to low-temperature stress, a Petri dish was exposed to 4°C for 10 days and then moved into an illumination incubator (22°C/18°C, 16 h light/8 h dark). Notably, WT seeds failed to germinate, whereas the seeds of overexpressed plants started to sprout on the 7th day, and the germination rate reached approximately 50% on the 10th day. After the seeds of overexpressed plants were moved to the illumination incubator, their germination rate reached 100% after 24 h; the WT seeds joined the rapid germination, reaching 100% germination on the 3rd day (Fig 5D). The 4-day-old seedlings of overexpressed plants and WT were photographed under ABA treatment and mannitol stress. The seedlings exposed to 4°C stress were photographed on the 2nd day after 10 days of chilling, and the seedlings were then transferred to the illumination incubator. The overexpressed seedlings had green cotyledons, whereas the WT seedlings remained at the embryonic growth stage under ABA treatment, mannitol, and 4°C stress. Under NaCl stress, the overexpressed plants and WT seedlings all grew slowly. By the 10th day, the overexpressed plants seedlings had produced two cotyledons, whereas the WT plants were still at the stage of radicle growth (Fig 5E).
(A-D) The germination rates of overexpressed plants (OE1, OE4, and OE8) and WT over 10 days of NaCl (200 mM), 4°C, mannitol (100 mM) stress and ABA (0.1 mM) treatment. All seeds were moved to an illumination incubator (22°C/18°C, 16 h light/8 h dark) to germinate after 72 h of vernalization. For the 4°C condition, the culture dish was maintained at 4°C for 10 days and then moved to the illumination incubator for seed germination. All treatments included three biological replicates. The results are presented as the mean ± SD. The Lowercase letters represent significant differences (P<0.05). (E) The growth situation of overexpressed plants and WT under 0.1 mM ABA, 4°C, 100 mM mannitol and 200 mM NaCl on the 4th or 10th day. Photographs of the plants under 4°C, mannitol, NaCl stress and ABA treatment were taken on the 2nd day, the 4th day and the 10th day.
Lateral root growth of MsLEA4-4-overexpressing plants in response to abiotic stress
In this experiment, the lateral root growth of overexpressed plants and WT under different stresses were observed and measured. Seeding was performed on culture dishes containing 1/2 MS. After 72 h of vernalization at 4°C, the seedlings were transferred to an illumination incubator to grow. As soon as the roots began to grow, the seedings were transferred to culture dishes containing 50 mM NaCl and 150 mM mannitol. Each of them consisted of four species, the WT, OE1, OE4, and OE8, of which each included five seedlings. Lateral root growth was observed and photographed after 5 days. Notably, overexpressed plants under abiotic stress outperformed WT in the lateral root growth capacity, with the most marked difference in plants under both low temperature and NaCl stress (Fig 6A). For each treatment, 25 seedlings were taken, and the lateral roots were counted. This procedure was repeated three times. Under NaCl, 4°C, mannitol, and 4°C + NaCl stress, the WT seedlings had 2, 2, 3, and 4 lateral roots, whereas the overexpressed plants had 8, 6, 8, and 8 lateral roots, respectively. These values were remarkably higher than those for WT (Fig 6B). The results indicated that the MsLEA4-4 gene could improve the stress of A. thaliana through growth of lateral roots.
The abiotic stress treatments were mannitol (150 mM), 4°C, NaCl (50 mM), and 4°C + NaCl (150 mM). (A) Comparison of the lateral roots of overexpressed plants and WT after 5 days of abiotic stress. (B) Lateral root numbers of overexpressed plants and WT. The NaCl concentration was 50 mM in the experiment, because it was observed that there was slight difference in the numbers of lateral roots of overexpressed plants and WT under concentrations of 100, 150, 200, 250, and 300 mM.
Leaf color changes in MsLEA4-4-overexpressing plants in response to several abiotic stresses
The leaves of the overexpressed plants (OE1, OE4, and OE8) and the WT under different abiotic stresses and ABA treatment were observed and measured. The plants were seeded on culture dishes containing 1/2 MS to grow 7 days, then the seedlings were transferred to 1/2 MS culture medium containing ABA (0.1 mM), H2O2 (10 mM) and NaCl (300 mM) to grow for 7 days. The results showed that the leaves of the WT were chlorinated or bleached beyond measure in comparison to the overexpressed plants (Fig 7A). The chlorophyll content of overexpressed plants and WT under H2O2 (10 mM), NaCl (300 mM) and ABA (0.1 mM) treatment, was measured to further clarify the effects of these stresses. Notably, the chlorophyll content decreased in plants under the different stresses. In particular, the chlorophyll content of the overexpressed plants was significantly higher than that of the WT (Fig 7B). NaCl stress contributed to the most obvious bleaching in the WT, and the survival rates of the overexpressed plants and the WT calculated after 7 days of stress were 60%–80% and 20%, respectively (Fig 7C).
(A) Leaf color of overexpressed plants (OE1, OE4, and OE8) and WT in response to NaCl, H2O2 stress and ABA treatment for 7 days. (B) The chlorophyll content of overexpressed plants and WT under NaCl, H2O2 stress and ABA treatment for 7 days. The abiotic stresses were H2O2 (10 mM), NaCl (300 mM) and ABA (0.1 mM) treatment. (C) The survival rates of overexpressed plants and WT under 300 mM NaCl treatment for 7 days. Twenty seedlings acted as one replicate, and each treatment was performed with three biological replicates. The data in the figure were repeated three times and showed as mean ± SD.
The resistance evaluation of overexpressed plants under osmotic stress
LEA proteins play important roles in plants exposed to abiotic stresses. The experimental data above indicated that the overexpressed plants were superior in germination rates, lateral root numbers and chlorophyll content compared to WT. lateral root numbers and chlorophyll content of the overexpressed plants were superior to those of the WT. Abiotic stresses may induce the expression changes in a series of genes related to osmotic stress in overexpressed plants. In order to demonstrate whether MsLEA4-4 transferred into A. thaliana could change the expression level of genes related to osmotic stress, some genes such as NCED9, NCED5, ABF3, ABI5, RD29A, RAB18, and P5CS were selected. Among these genes, ABF3, ABI5, NCED5, and NCED9 exhibited markedly increased transcript levels in three transgenic lines (Fig 8A). To evaluate the stress tolerance of the overexpressed plants, the biomasses of the transgenic and WT plants exposed to abiotic stresses was measured. The overexpressed plants and WT displayed similar biomasses under normal conditions, but the overexpressed plants exhibited a higher biomass compared with WT under abiotic stress conditions (Fig 8B).
(A) Expression levels of several osmotic stress related genes in the overexpressed plants (OE1, OE4, and OE8) and WT under mannitol, 4°C, NO and NaCl treatment. Both the overexpressed plants (OE1, OE4, and OE8) aged one week and WT were treated with 100 mM mannitol, 4°C, 0.1 mM NO or 200 mM NaCl for 7 days. RNA was extracted from plants under all treatments, pooled for each treatment and used for expression analysis. (B) Biomass of the overexpressed plants (OE1, OE4, and OE8) and the WT under mannitol, 4°C, NO and NaCl treatment. One-week-old Arabidopsis seedlings were treated with 100 mM mannitol, 4°C, 0.1 mM NO or 200 mM NaCl for 7 days and harvested. Each treatment was replicated three times, and there were twenty seedlings in each replicate. The data were showed as mean ± SD.
MsLEA4-4 overexpressing improved antioxidant enzyme activity in transgenic Arabidopsis under abiotic stress and ABA treatment
Under abiotic stress, plants can adjust intracellular osmotic pressure and stabilize the intracellular activity of enzymes to enhance resistance through synthesis and accumulation of soluble sugars and Pro. In our study, the soluble sugar, Pro, and MDA content, the CAT, POD, and SOD activity of the overexpressed plants and the WT were measured under different abiotic stresses and ABA treatment. Under different stresses, both overexpressed plants and WT presented an increase in the soluble sugar content. In particular, the soluble sugar content of the overexpressed plants was higher than that of the WT (P<0.05) under all abiotic stresses except NO. The soluble sugar content in the overexpressed plants was more obvious than that in the WT under H2O2 and NaCl stress (Fig 9A). The CAT activity of the overexpressed plants was also significantly higher (P<0.05) than that of the WT under abiotic stress. The mannitol, H2O2, ABA, NaCl stress and ABA treatment data revealed obvious changes. Under H2O2 stress, the CAT activity of the overexpressed plants was 92.4% higher than that of the WT (Fig 9B). When plants are exposed to abiotic stress, PODs remove oxygen from cells and produce some of the metabolites necessary for cells. The POD activity was higher in the overexpressed plants than that in the WT under different stresses, with a difference of 34.6% under H2O2 stress (P<0.05). (Fig 9C). MDA content is positively correlated with changes in membrane permeability. Plant tissues or organelle membranes undergo peroxidation reactions when the plants are exposed to abiotic stress, thereby producing high levels of MDA. In this study, MDA content in the overexpressed plants was much lower (P<0.05) compared to WT under the abiotic stresses except NO stress and ABA treatment, with a marked difference of 53.7% under H2O2 stress (Fig 9D). SOD can eliminate harmful substances produced during the metabolism. The data revealed that the there was a decrease of the SOD activity both in the overexpressed plants and the WT under abiotic stress, while the overexpressed plants exhibited relatively (P<0.05) higher activity, except under cold stress (Fig 9E). Pro, as one of the most effective osmotic substances in plants, reflects the resistance of plants to abiotic stress. The Pro content of the overexpressed plants and the WT shot up under NaCl stress and ABA treatment, but relatively the former was 68.4% and 34.5% lower respectively under these stresses, and 3.43-fold lower under H2O2 stress (Fig 9F). These results indicated that the overexpressed plants showed more tolerant to salt, drought, cold, and oxidative stress than the WT, and also can be induced by ABA treatment.
(A-F) The soluble sugar content; CAT, POD, MDA, and SOD activity; and the Pro content of overexpressed plants (OE1, OE4, and OE8) and WT under abiotic stress. Both 1-week-old overexpressed plants and WT were treated with 200 mM mannitol, 4°C, 0.1 mM NO, 10 mM H2O2, 200 mM NaCl or 0.1 mM ABA for 7 days to detect antioxidant enzyme activity. Each treatment was composed of 0.1 g of seedlings and repeated three times.
Discussion
LEA proteins, as drought stress–induced proteins among a large family in plants, are involved in plant development, and studies have found that different LEA proteins are highly hydrophilic and heat stable, lack cysteine and tryptophan residues and are rich in glycine or other amino acids, such as alanine, serine, and threonine [47]. Proline and glycine belong to helical breaking proteins, while alanine, glutamic acid and lysine are in non-helical breaking proteins. The content of helical forming protein is very high, while helical breaking protein is little in LEA4, so most LEA4 shows high α-helical [48]. In this study, MsLEA4-4 protein was found to be deficient in cysteine and tryptophan and rich in glycine, alanine, glutamine, lysine, arginine, and threonine; in addition, the protein contains lots of α-helix (Fig 1C). The α-helix usually has a signal transduction or transport function in plant cells [49], which may enhance the ability to abiotic stress of MsLEA4-4-overexpression plants.
LEA4 was located in many position of the cell, and several LEA4 hade TAQAAKEKAXE sequence, while others do not [33]. Proteins located in the nucleus may have transcriptional and ABA responsive functions. The LEA4 from Brassica napus was located in the nucleus and have 25% α-helix [50]. In this study, subcellular localization showed MsLEA4-4 localization in the nucleus (Fig 2B) and had five repeated 11-mer sequences of TAQAAKEKTQQ (Fig 1A). The structure of MsLEA4-4 well contributes to its stress resistance.
When plants encountered abiotic stresses, such as drought, high salt, and low temperature, cellular osmotic regulation changed because of water deficiency, which would induce the regulation and expression of a series of genes related to abiotic stress, and promoters feature prominently in these processes [51]. ABA, a signaling molecule, participates in plant adaptation to abiotic stresses such as drought, high salt, and low temperature and in seed maturation and dormancy [52]. The promoter regions of most genes contain ABA-acting elements [53]. LEA promoter regions generally consist of ABA-responsive elements (ABREs), which can initiate the transcription of genes responsive to ABA by binding to the core motif (ACGT) of transcription factors. In addition, the promoter regions of LEA genes contain cis-acting elements related to ABA pathways, such as G-box (CACGTC) and A-box (TACGTA) elements [54]. LEA4 can be induced under ABA treatment, such as AtLEA4-5 and BnLEA4 [55]. In this study, the promoter region of MsLEA4-4 was found to contain three ABREs and two endosperm expression motifs (TGAGTCA and GTCAT). Studies have shown that MsLEA4-4 expression presents a parabolic trend during ABA treatment (Fig 3A), indicating that MsLEA4-4 is sensitive to ABA and plays a potential role in regulating the stress resistance of alfalfa through the ABA signaling pathway in vivo.
Moreover, the MsLEA4-4 promoter region comprised 11 cis-acting elements related to light induction and 1 cis-acting element related to the biological clock (Table 1). The LEA content in alfalfa increased under extended dark stress and light stress (Fig 3D and 3E). Photoperiod gives an influence on plant flowering, growth development, and dormancy. The data clearly showed that MsLEA4-4 expression levels increased significantly in response to short-day and long-day photoperiods, with stronger signs of the former (Fig 3C). The leaf structure will be destroyed and photosynthetic rate will be declined under abiotic stress. Eventually, the biomass of the plants decreased [56]. A variety of cis-acting elements related to light in LEA may protect leaf structure and photosynthetic system, and guarantee the biomass of plant. The results showed that the chlorophyll content and biomass were significantly higher in overexpressed plants than in WT under abitic stress (Fig 7B).
LEA4 proteins play important roles in plant responses to external stress. Previous studies have reported the functions of LEA4 proteins related to plant stress resistance [57]. Overexpression of LEA 4 in Arabidopsis thaliana, the root and stem length, and the survival rate of overexpressed plants was improved compared to wild type plants [50]. MsLEA4-4 from M. sativa has been successfully transferred into the A. thaliana ecotype Columbia-0. Our results showed that germination of MsLEA4-4-overexpressing seeds occurred 1–2 days earlier than measured against WT under different stresses (Fig 5E). The germination rates (Fig 5A–5D) and the numbers of lateral roots (Fig 6B) of the overexpressed plants were higher than those of the WT. The overexpressed plants hold a remarkable dominance of salt tolerance, with survival rates reaching 60%–80%, whereas the survival rate of the WT was only 20% under salt stress (Fig 7C). Under abiotic stress, LEA proteins may protect the antioxidant activity in plants to enhance resistance to drought and various stresses. A previous study found that the MDA content in LEA-transgenic Salvia miltiorrhiza was low under drought and high-salt conditions and their SOD activity and glutathione concentrations were higher compared with the control plants [58]. In our study, mannitol, high salt, low temperature, H2O2, and other stresses were applied. Our results revealed that the soluble sugar content (Fig 9A) and the CAT (Fig 9B), POD (Fig 9C), and SOD (Fig 9E) enzymatic activity were higher in the overexpressed plants than in the WT. When plants encounter abiotic stress, the oxidative degradation process is inhibited, and a consequent increase in Pro content can add protection for plant growth. However, the higher Pro contents in the plant, the greater the damage [59]. The Pro (Fig 9F) and MDA levels in the overexpressed plants were lower than those in the WT under different stresses, and the enhanced resistance of the overexpressed plants was most obvious under NaCl and H2O2 stress (Fig 9D). The results showed that MsLEA4-4-overexpression A. thaliana plants were less damaged than WT under abiotic stress, and reduced the damage of abiotic stress through a variety of antioxidant enzyme system to balance the ROS of overexpressed plants.
These results suggest that transfer of MsLEA4-4 into A. thaliana enhances the resistance of the overexpressed plants to abiotic stresses, such as drought, high salt, low temperature, and oxidative stress. The gene expression analysis results indicate that MsLEA4-4 may improve the resistance of overexpressed plants by regulating the expression of a series of genes related to osmotic stress in plants. Thus, MsLEA4-4 transferred into alfalfa may join the regulation of stress and improve the resistance of alfalfa. Further studies should be performed in which MsLEA4-4 is transferred into alfalfa, to investigate the function of MsLEA4-4 in alfalfa and to develop MsLEA4-4-overexpressing alfalfa varieties with strong resistance to stress.
Supporting information
S1 Fig. Constructing expression vector of MsLEA4-4.
(A) Diagram of the MsLEA4-4 overexpression vector. (B) Diagram of the MsLEA4-4-GFP expression vector.
https://doi.org/10.1371/journal.pone.0234085.s002
(DOC)
S2 Fig. Southern blot analysis of MsLEA4-4 overexpressed plants (OE1, OE4 and OE8).
https://doi.org/10.1371/journal.pone.0234085.s003
(DOC)
Acknowledgments
We would like to grateful to Dr. Xuemin Wang for helpful comments on an early version of this manuscript. We thank Dr. Yonghong Shi for funding to this study.
References
- 1. Alqarawi AA, Hashem A, Kumar A, Al-Arjani ABF, Abd_Allah EF, Dar BA, et al. Allelopathic effects of the aqueous extract of Rhazya stricta on growth and metabolism of Salsola villosa. Plant Biosyst. 2018; 152(6):1263–1273. https://doi.org/10.1080/11263504.2018.1439117
- 2. Zhou C, Ma ZY, Zhu L, Xiao X, Xie Y, Zhu J, et al. Rhizobacterial strain Bacillus megaterium BOFC15 induces cellular polyamine changes that improve plant growth and drought resistance. Int J Mol Sci. 2016; 17(6):976–994. https://doi.org/10.3390/ijms17060976
- 3. Habora MEE, Eltayeb AE, Oka M, Tsujimoto H, Tanaka K. Cloning of allene oxide cyclase gene from Leymus mollis and analysis of its expression in wheat-Leymus chromosome addition lines. Breeding Sci. 2013; 63(1):68–76. https://doi.org/10.1270/jsbbs.63.68
- 4. Patro L, Mohapatra PK, Biswal UC, Biswal B. Dehydration induced loss of photosynthesis in Arabidopsis leaves during senescence is accompanied by the reversible enhancement in the activity of cell wall β-glucosidase. J Photoch Photobio B. 2014; 137: 49–54. https://doi.org/10.1016/j.jphotobiol.2014.03.018
- 5. Yang ZM, Chang ZL, Sun LH, Yu JJ, Huang BR. Physiological and metabolic effects of 5-aminolevulinic acid for mitigating salinity stress in creeping bentgrass. Plos One. 2014; 9(12):e116283. pmid:25551443
- 6. Zhang H, Liu D, Yang B, Liu WZ, Mu B, Song H, et al. Arabidopsis CPK6 positively regulates ABA signaling and drought tolerance through phosphorylating ABA-responsive element-binding factors. J Exp Bot. 2020; 71(1):188–203. pmid:31563949
- 7. Huang XS, Luo T, Fu XZ, Fan QJ, Liu JH. Cloning and molecular characterization of a mitogen-activated protein kinase gene from Poncirus trifoliata whose ectopic expression confers dehydration/drought tolerance in transgenic tobacco. J Exp Bot. 2011; 62(14):5191–5206. pmid:21778184
- 8. Baena-Gonzalez E. Energy signaling in the regulation of gene expression during stress. Mol Plant. 2010; 3(2):300–313. pmid:20080814
- 9. Bray EA. Abscisic acid regulation of gene expression during water-deficit stress in the era of the Arabidopsis genome. Plant Cell Environ. 2002; 25(2):153–161. pmid:11841660
- 10. Chang HC, Tsai MC, Wu SS, Chang IF. Regulation of ABI5 expression by ABF3 during salt stress responses in Arabidopsis thaliana. Bot Stud. 2019;60(1):16. pmid:31399930
- 11. Xiong LM, Schumaker KS, Zhu JK. Cell signaling during cold, drought and salt stress. Plant Cell. 2002; 14:S165–S183. https://doi.org/10.1105/tpc.000596
- 12. Zeng X, Ling H, Yang JW, Li YY, Guo SX. LEA proteins from Gastrodia elata enhance tolerance to low temperature stress in Escherichia coli. Gene. 2018; 646:136–142. pmid:29305972
- 13. Dure L and Galau GA. Developmental biochemistry of cottonseed embryogenesis and germination XIII. Regulation of biosynthesis of principal storage proteins. Plant Physiol. 1981; 68:187–194. pmid:16661868
- 14. Barrera-Figueroa BE, Gao L, Wu ZG, Zhou XF, Zhu JH, Jin HL, et al. High throughput sequencing reveals novel and abiotic stress-regulated microRNAs in the inflorescences of rice. BMC Plant Biol. 2012; 12:132. pmid:22862743
- 15. Nylander M, Svensson J, Palva ET, Welin BV. Stress-induced accumulation and tissue-specific localization of dehydrins in Arabidopsis thaliana. Plant Mol Biol. 2001; 45(3): 263–279. pmid:11292073
- 16. Cheng ZQ, Targolli J, Huang XQ, Wu R. Wheat LEA genes, PMA80 and PMA1959, enhance dehydration tolerance of transgenic rice (Oryza sativa L.). Mol Breeding. 2002; 10(1–2): 71–82. https://doi.org/10.1023/A:1020329401191
- 17. Goyal K, Walton LJ, Tunnacliffe A. LEA proteins prevent protein aggregation due to water stress. Biochem. 2005; 388(1):151–157. https://doi.org/10.1042/BJ20041931
- 18. Toxopeus J, Warner AH, and Macrae TH. Group 1 LEA proteins contribute to the desiccation and freeze tolerance of Artemia franciscana embryos during diapause. Cell Stress Chaperon. 2014; 19:939–948. https://doi.org/10.1007/s12192-014-0518-3
- 19. Liu YL, Xie LX, Liang XL, Zhang SH. CpLEA5, the late embryogenesis abundant protein gene from Chimonanthus praecox, possesses low temperature and osmotic resistances in prokaryote and eukaryotes. Int J Mol Sci. 2015; 16(11):26978–26990. pmid:26569231
- 20. Qu GZ, Zang LN, Hu XL, Gao CQ, Zheng TC, Li KL. Co-transfer of LEA and bZip genes from Tamarix confers additive salt and osmotic stress tolerance in transgenic tobacco. Plant Mol Biol Rep. 2012; 30:512–518. https://doi.org/10.1007/s11105-011-0371-9
- 21. Romo S, Labrador E, and Dopico B. Water stress-regulated gene expression in Cicer arietinum seedlings and plants. Plant Physiol Bioch. 2001; 39(11):1017−1026. https://doi.org/10.1016/S0981-9428(01)01318-3
- 22. Xu ML, Tong Q, Wang Y, Wang ZM, Xu GZ, Elias GK, et al. Transcriptomic analysis of the grapevine LEA gene family in response to osmotic and cold stress reveals a key role for VamDHN3. Plant Cell Physiol. 2020: pcaa004. https://doi.org/10.1093/pcp/pcaa004
- 23. Rodríguez-Valentín R, Campos F, Battaglia M, Solórzano RM, and Rosales MA. Group 6 Late embryogenesis abundant (LEA) proteins in monocotyledonous plants: genomic organization and transcript accumulation patterns in response to stress in Oryza sativa. Plant Mol Biol Rep. 2014; 32(1):198−208. https://doi.org/10.1007/s11105-013-0641-9
- 24. Altunoglu YC, Baloglu P, Yer EN, Pekol S, Baloglu MC. Identification and expression analysis of LEA gene family members in cucumber genome. Plant Growth Regul. 2016; 80:225–241. https://doi.org/10.1007/s10725-016-0160-4
- 25. Li X, Cao J. Late Embryogenesis Abundant (LEA) gene family in Maize: identification, evolution, and expression profiles. Plant Mol Biol Rep. 2016; 34(1):15–28. https://doi.org/10.1007/s11105-015-0901-y
- 26. Liu ZM, Liu WX, Jia XT, Zhang ZS, Wang YR. Genome-wide analysis of LEA gene family in Medicago truncatula. Pratacultural Science. 2015; 32(3):382–391. https://doi.org/10.11829/j.issn.1001-0629.2014-0418
- 27. Magwanga RO, Lu P, Kirungu JN, Lu HJ, Wang XX, Cai XY, et al. Characterization of the late embryogenesis abundant (LEA) proteins family and their role in drought stress tolerance in upland cotton. BMC Genet. 2018b; 19:6. https://doi.org/10.1186/s12863-017-0596-1
- 28. Zou YD, Hong RS, He SW, Liu GB, Huang ZB, Zheng YZ. Polyproline II structure is critical for the enzyme protective function of soybean Em (LEA1) conserved domains. Biotechnol Lett. 2011; 33(8):1667–1673. pmid:21455835
- 29. Zhao Y, Wang Y, Liu Q, Zhai Y, Zhao Y, Zhang MJ, et al. Cloning of a new LEA1 gene promoter from soybean and functional analysis in transgenic tobacco. Plant Cell Tiss Org. 2017; 130(2):379–391. https://doi.org/10.1007/s11240-017-1234-3
- 30. Min DH, Zhang XH, Xu ZS, Zhao Y, Chen Y, Li LC, et al. Induction kinetics of a novel stress-related LEA gene in wheat. Plant Mol Biol Rep. 2012; 30:1313–1321. https://doi.org/10.1007/s11105-012-0446-2
- 31. Liu GB, Xu H, Zhang L, Zheng YZ. Fe binding properties of two Soybean (Glycine max L.) LEA4 proteins associated with antioxidant activity. Plant cell physiol. 2011; 52(6):994–1002. pmid:21531760
- 32. Ryabova A, Cherkasov A, Yamaguchi R, Cornette R, Kikawada T, Gusev O. LEA4 protein is likely to be involved in direct protection of DAN against external damage. Bio Nano Science. 2016; 6(4):554–557. https://doi.org/10.1007/s12668-016-0275-0
- 33. Hundertmark M and Hincha DK. LEA (Late Embryogenesis Abundant) proteins and their encoding genes in Arabidopsis thaliana. BMC Genomics. 2008, 9:118. pmid:18318901
- 34. Zamora-Briseño JA, Jiménez ES. A LEA 4 protein up-regulated by ABA is involved in drought response in maize roots. Mol Biol Rep. 2016; 43(4):221–228. pmid:26922182
- 35. Li XH, Wei YL, Acharya A, Hansen JL, Crawford JL, Viands DR, et al. Genomic prediction of biomass yield in two selection cycles of a tetraploid alfalfa breeding population. Plant Genome. 2015; 8(2):1–10. https://doi.org/10.3835/plantgenome2014.12.0090
- 36. Jia CJ, Wu XM, Chen M, Wang YQ, Liu XQ, Gong P, et al. Identification of genetic loci associated with crude protein and mineral concentrations in alfalfa (Medicago sativa) using association mapping. BMC Plant Biol. 2017; 17:97. pmid:28583066
- 37. Jiang JS, Jia HL, Feng GY, Wang Z, Li J, Gao HW, et al. Overexpression of Medicago sativa TMT elevates theα-tocopherol content in Arabidopsis seeds, alfalfa leaves, and delays dark-induced leaf senescence. Plant Science. 2016; 249:93–104. pmid:27297993
- 38. Wang YF, Zhang ZQ, Liu HM, An YR, Han B, Wu YJ, et al. Overexpression of an alfalfa (Medicago sativa) gene, MsDUF, negatively impacted seed germination and response to osmotic stress in transgenic tobacco. Plant Cell Tiss Org. 2018; 132(3):525–534. https://doi.org/10.1007/s11240-017-1348-7
- 39. Li ZY, Long RC, Zhang TJ, Yang QC, Kang JM. Molecular cloning and characterization of the MsHSP17.7 gene from Medicago sativa L. Mol Biol Rep. 2016; 43(8):815–826. pmid:27193169
- 40. Luo D, Zhou Q, Wu YG, Chai XT, Liu WX, Wang YR, et al. Full-length transcript sequencing and comparative transcriptomic analysis to evaluate the contribution of osmotic and ionic stress components towards salinity tolerance in the roots of cultivated alfalfa (Medicago sativa L.). BMC Plant Biol. 2019; 19:32. pmid:30665358
- 41. Yang C, Wu XY, Guo X, Bao PJ, Chu M, Zhou XL, et al. The complete chloroplast genome of Medicagosativa cv. Hangmu No.1, a plant of space mutation breeding. Mitochondrial DNA Part B. 2019; 4(1):603–604. https://doi.org/10.1080/23802359.2018.1561225
- 42. Lei YT, Xu YX, Hettenhausen C, Lu CK, Shen GJ, Zhang CP, et al. Comparative analysis of alfalfa (Medicago sativa L.) leaf transcriptomes reveals genotype-specific salt tolerance mechanisms. BMC Plant Biol. 2018; 18:35. pmid:29448940
- 43. Singer SD, Hannoufa A, Acharya S. Molecular improvement of alfalfa for enhanced productivity and adaptability in a changing environment. Plant Cell Environ. 2018; 41(9):1955–1971. pmid:29044610
- 44. Hawkins C and Yu LX. Recent progress in alfalfa (Medicago sativa L.) genomics and genomic selection. Crop Journal. 2018; 6:565–575. https://doi.org/10.1016/j.cj.2018.01.006
- 45. Livak KJ and Schmittgen TD. Analysis of relative gene expression data using real time quantitative PCR and the 2-△△CT method. Methods. 2011; 25(4):402–408. https://doi.org/10.1006/meth.2001.1262
- 46.
Zhang YS, Huang X, Chen YF. Experimental course of plant physiology. Higher education press, Beijing, China; 2009
- 47. Banerjee A and Roychoudhury A. Group II late embryogenesis abundant (LEA) proteins: structural and functional aspects in plant abiotic stress. Plant Growth Regul. 2016; 79(1):1–17. https://doi.org/10.1007/s10725-015-0113-3
- 48. Dhar S, Bhattacharya S, Banerjee A, Ray Sujay. Evolutionary, gene ontology and physiochemical relationships in LEA proteins of Oryza sativa indica: Detailed computational sequence-based insight. Plant Gene, 2020; 21:100218. https://doi.org/10.1016/j.plgene.2019.100218
- 49. Soulages JL, Kim K, Arrese EL, Walters C, Cushman J C. Conformation of a group 2 late embryogenesis abundant protein from Soybean. Evidence of poly (L-proline)-type II structure. Plant Physiol. 2003; 131(3):963–975. pmid:12644649
- 50. Dalal M, Tayal D, Chinnusamy V, Bansal KC. Abiotic stress and ABA-inducible group 4 LEA from Brassica napus plays a key role in salt and drought tolerance. J Biotechnol. 2009; 139(2):137–145. pmid:19014980
- 51. Meier S, Gehring C, MacPherson CR, Kaur M, Maqungo M, Reuben S, et al. The promoter signatures in rice LEA genes can be used to build a co-expressing LEA gene network. Rice. 2008; 1(2):177–187. https://doi.org/10.1007/s12284-008-9017-4
- 52. Ditzer A and Bartels D. Identification of a dehydration and ABA-responsive promoter regulon and isolation of corresponding DNA binding proteins for the group 4 LEA gene CpC2 from C. plantagineum. Plant Mol Biol. 2006; 61(4–5):643–663. pmid:16897481
- 53. Chen G, Hu J, Lian J, Zhang Y, Zhu L, Zeng DL, et al. Functional characterization of OsHAK1 promoter in response to osmotic/drought stress by deletion analysis in transgenic rice. Plant Growth Regul. 2019; 88(3): 241–251. https://doi.org/10.1007/s10725-019-00504-3
- 54. Bielas B, Leida C, Rubio-Cabetas MJ. Physiological characterization of drought stress response and expression of two transcription factors and two LEA genes in three Prunus genotypes. Scientia Horticulturae. 2016; 213(14):260–269. https://doi.org/10.1016/j.scienta.2016.11.006
- 55. Zimmermann P, Hirsch-Hoffmann M, Henning L, Gruissem W. Genevestigator. Arabidopsis microarray database and analysis toolbox. Plant Physiol. 2004; 136:2621–2632. pmid:15375207
- 56. Asad MAU, Zakari SA, Zhao Q, Zhou LJ, Ye Y, Cheng F M. Abiotic stresses intervene with ABA signaling to induce destructive metabolic pathways leading to death: premature leaf senescence in plants. Int J Mol Sci. 2019; 20(2):256. https://doi.org/10.3390/ijms20020256
- 57. Ke YT, Lu CA, Wu SJ, Yeh CH. Characterization of rice group 3 LEA genes in developmental stages and under abiotic stress. Plant Mol Biol Rep. 2016; 34(5):1003–1015. https://doi.org/10.1007/s11105-016-0983-1
- 58. Wu YC, Liu CL, Kuang J, Ge Q, Zhang Y, Wang ZZ. Overexpression of SmLEA enhances salt and drought tolerance in Escherichia coli and Salvia miltiorrhiza. Protoplasma. 2014; 215(5):1191–1199. https://doi.org/10.1007/s00709-014-0626-z
- 59. Hesami A, Bazdar L, Shahriari M H. Effect of soil salinity on rrowth, proline, and some nutrient accumulation in two genotypes seedlings of Ziziphus Spina-christi(L.)Willd. Commun Soil Sci Plan. 2020; 51(6):804–815. https://doi.org/10.1080/00103624.2020.1729366