Drought and salinity stress-responsive transcriptomic studies in various plant species.
Abstract
Global climatic changes and the temperature-associated fluctuations in drought, soil and water salinization and flooding have resulted in huge pressure on crop plants for their optimum yield potential. These challenges have to be met through innovative scientific technologies. Recent advances in the “Omics” approaches such as transcriptomics, proteomics and metabolomics offer new dimensions for understanding plant responses to drought and salt stresses and identification of major genes/QTLs for generation of resistant germplasm. Most importantly, the proteomics coupled with bioinformatics tools have accelerated the proteins characterization at the organ, tissue, organelle and membrane levels. Here we present an update on the progress of “Omics” approaches to understand plant responses to drought and salt stress particularly in the last decade. Future challenges and solution efforts are also discussed in the ways of omics approaches. The need for research involving integrated omics technologies with advanced tools and to meet the future challenges toward practical implementation of these technologies for crop improvement against drought and salinity stresses is also discussed.
Keywords
- abiotic stresses
- omics
- proteomics
- transcriptomics
- mutants
- map-based cloning
1. Introduction
Abiotic stresses, particularly drought, salt and low and high temperatures adversely affect plant growth and productivity and collectively account for more than 50% yield losses in important crop plants worldwide [1]. The resultant adverse changes in plant growth and productivity are orchestrated at the morphological, molecular and physiological levels [2]. The physiological effects of these stress conditions on plant developmental processes are mostly overlapping. Drought and salt stresses, in particular affect plants physiological and developmental processes by imposing osmotic and oxidative stresses. In addition, salt stress causes ionic stress and Na+ toxicity. These stress conditions, in turn, induce cellular damages resulting in the disruption of ionic and osmotic [3]. In response to these stress conditions, plants generate a set of events comprising perception and transduction of stress signals. These changes ultimately result into expression of stress-related genes that induces alterations in metabolic processes [3]. The abiotic stress responses are generally polygenic in nature and are shared in multiple abiotic stresses [4].
Being a polygenic trait, achieving abiotic stress tolerance in crop plants through conventional breeding is a tedious and time-consuming approach. In this respect, comparative genomics has been utilized to explore candidate genes conferring tolerance to salt, drought and extreme temperature stresses in several plants [5, 6]. In recent years, appreciable work has been conducted to identify abiotic stress-related transcriptomes and proteomes in several plant species. The availability of these information in plants have paved the way for dissecting abiotic stress responses at the molecular level that provided a base for transgenic approaches against abiotic stresses. These approaches were utilized to engineer several crop plants in order to enhance their abiotic stress tolerance [4, 7]. However, taking into consideration the polygenic nature of abiotic stress tolerance, detailed transcriptomic and proteomic studies are required across the plant species to fully dissect the stress-response pathway. Such information will add to the current efforts to find suitable genes for plant transformation against abiotic stresses. The current review summarizes the recent findings on abiotic stress tolerance-related transcriptomic and proteomic studies in plant species.
2. Progress in functional and molecular genomics toward understanding stress perception
Abiotic stress tolerance is a polygenic trait that involves the expression of many sets of genes working in different pathways [8]. Plants have a well-organized system of sensing the environmental signals and responding to them in the form of gene expression [9]. The process of stress perception is comprised of a set of events including stress signaling, stress transduction and gene expression that result in accumulation of transcription factors, stress-related proteins, enzymes and metabolites (Figure 1). In order to fully understand the plants abiotic stress tolerance, and to modify it with the help of transgenic technologies, understanding the process of stress perception at the molecular level is very important. The application of functional genomics technologies has added new dimensions to our understanding of plant responses to environmental stresses [10]. The progress of abiotic stress tolerance in plants through conventional breeding programs has met with limited success, mainly because of the polygenic nature of abiotic stress responses in plants. However, during the last decade, considerable progress was made toward development of functional genomic tools that allowed the functional dissection of the genetic determinants associated with abiotic stress responses. Major breakthroughs included (1) development of molecular markers for gene mapping and the construction of associated maps, (2) the development of expressed sequence tags (ESTs) libraries, (3) the complete sequencing of
3. Map-based cloning of abiotic stress-related genes
Exploring genome sequences of
Map-based cloning strategy has also been exploited to unravel abiotic stress-related QTLs in plants. As abiotic stress tolerance trait is polygenic in nature, the QTLs studies have received immense importance in understanding stress responses [14]. Recently, using map-based cloning, a large number of drought and salt stress-related QTLs have been reported in crop plants. QTLs were mapped in
4. Development of mutant populations
The use of mutant populations of plants, developed through insertional mutagenesis is an important tool to dissect the functions of abiotic stress-related genes [23]. Insertional mutagenesis is accomplished through T-DNA or transposable elements. Such mutant populations are available for
Along with T-DNA and transposable elements based mutant populations; the need for alternative means of studying gene function is growing day by day. This is mainly because of the low number of
5. Transcriptomic analysis
Progress in transcriptomic analysis tools has revealed massive genomic sequence information in many plants. Identification of the partial or complete cDNAs sequences provide a holistic picture of the transcriptomes. The available ESTs are organized in three main databases, that is, NCBI, TIGR and Sputnik, which organize these ESTs with fully characterized gene sequences. Abiotic stress-related ESTs have contributed a great deal in exploring gene expression profiles of stress tolerance-related traits in in
In recent years, different functional and molecular tools were used to identify abiotic stress-responsive genes in plants. These included genome wide physical and genetic mapping of chromosomes, isolation and sequencing of genes, ESTs, proteomics techniques and cDNA microarray analysis [32]. Particularly, the cDNA and microarrays were widely used to study gene expression profiles in Arabidopsis, potato, rice, sorghum, maize and wheat under abiotic stresses. The identified genes/proteins include late embryogenesis abundance (LEA) proteins, compatible osmolytes, ROS scavengers and proteins involved in signal transduction.
The genomic approaches related to abiotic stress tolerance in plants are summarized (Table 1). In one study, Oono et al. [33] used a full-length cDNA microarray containing 7000
Species | Stress type | Findings | Reference |
---|---|---|---|
Drought | Total of 152 rehydration-inducible genes were identified. | Oono et al. [33] | |
Drought | Translational regulation of 2000 genes was evaluated | Kawaguchi et al. [34] | |
Salt | Expression of large number of genes including 86 transcription factors was altered significantly | Postnikova et al. [35] | |
Drought | Up-regulation of 1300 drought-responsive genes | Utsumi et al. [36] | |
Salt, drought | 73 stress inducible genes were identified, among which 15 genes were highly responsive to salt, drought and cold stresses | Rabbani et al. [37] | |
Drought | 53.8% and 21% of the pollination/fertilization-related genes were regulated by dehydration and wounding, respectively | Lan et al. [38] | |
Drought | — | — | |
Drought | 589 genes were found responsive to drought | Gorantla et al. [14] | |
Drought | About 55% of genes differentially expressed in roots of rice under drought stress | Moumeni et al. [39] | |
Salt | 486 salt responsive ESTs were determined in shoots | Chao et al. [40] | |
Drought, salt | Differential expression of large number of genes encoding transcription factors in stress sensitive and tolerant genotypes | Shankar et al. [47] | |
Salt | Six ADP-ribosylation factors like proteins were identified. | Kim et al. [110] | |
Salt | Expression profile showed 5000 ESTs, of which 154 were up-regulated, and 120 were down-regulated | Hmida-Sayari et al. [41] | |
Salt, heat, drought | 1476 stress-related ESTs were found | Rensink et al. [42] | |
Salt, heat | 3314 clones were identified as up- or down regulated | Rensink et al. [43] | |
Drought | 333 genes responded to ABA, NaCl or osmotic stress | — | |
Drought | 775 genes were found differentially expressed in response to drought stress | Pratt et al. [44] | |
Drought | Differential expression of genes involved in photosynthesis, carbon fixation, antioxidants in sensitive and tolerant genotypes | Fracasso et al. [49] | |
Salt | Gene expression of 1811 genes was changed in response to salt stress | — | |
Drought | 3831 transcripts showed changes in expression in the drought-tolerant genotype | Li et al. [45] | |
Drought | Large number of genes including 309 differentially expressed genes, responsive to drought stress were up-regulated | Ma et al. [48] | |
Water stress | 79 genes in placenta and 56 genes in endosperm, were up- and down regulated, simultaneously | — | |
Drought | Differential expression levels of cell-wall related and transporter genes were found to contribute to drought tolerance | Zheng et al. [46] | |
Drought | A total of 619 genes and 126 transcripts were identified whose expression was altered by drought stress | Song et al. [50] |
Recently, transcriptomic analysis through RNA sequencing has been proved to be a powerful tool for analysis of drought and salt stress-responsive genes. RNA-Seq uses next generation sequencing to reveal quantities of RNA in a given sample in real time. Examples of transcriptomic analysis through RNA-Seq have been reported in several crop plants subjected to drought and salt stresses. Shankar et al. [47] studied comparative transcriptomic analysis in drought sensitive and tolerant rice cultivars. A total of 801 and 507 transcripts were found differentially expressed in drought-tolerant (N22) and salt-tolerant (Pokkali) rice cultivars, respectively, under stress conditions. Overall, the study identified common and cultivar-specific stress-responsive transcripts. Ma et al. [48] conducted RNA-Seq analysis in wheat to study the drought-responsive transcriptomic changes during reproductive stages under field conditions. A total of 115,656 genes were detected and among these, 309 genes were found differentially expressed under drought at various developmental stages. Fracasso et al. [49] conducted transcriptomic analysis to study responses of drought sensitive and tolerant sorghum genotypes subjected to drought stress. Several genes such as those involved in photosynthesis, carbon fixation and antioxidants were found differentially expressed in the two genotypes under drought stress. Correlation in maize flowering time and drought stress was studied through RNA-seq and bioinformatics tools [50]. A total of 619 genes were identified, among which the expression of 126 transcripts was altered by drought stress. Among drought-responsive genes, the important transcripts included zinc finger and NAC domains. The study also identified 20 genes such as transcription factor
The above-mentioned transcriptomic studies revealed that RNA-Seq analysis could be used as a very powerful tool not only to study stress-specific gene expression analysis but also to explore differences between stress sensitive and tolerant genotypes of crop plants.
6. Proteomic analysis
The study and characterization of the complete set of proteins in a cell, organ or organism at a given time is termed as proteomics [51]. Along transcriptomic studies, proteome analysis has contributed much to our understanding of the expression of stress-related genes in plants under abiotic stress. Proteomic studies on plant responses to salinity and drought stresses are being explored at large scale. Proteomic approaches have been applied at whole plant, organ and at subcellular levels to unravel the stress-response mechanism in plants. The prominent proteomic studies in plant species facing drought and salinity stresses are summarized (Table 2). Proteomic studies on sugar beet under drought stress identified that heat-shock proteins, nucleoside diphosphate kinase, RuBisCO, Cu-Zn superoxide dismutase (SOD) and 2-Cys-peroxiredoxin were highly induced [52]. Kim et al. [53] conducted proteomic analysis of maize subjected to drought stress and identified proteins involved in metabolism, photosynthesis and stress responses. Proteomic analysis of
Species | Stress | Proteomic changes | Plant organ/organelle | Reference |
---|---|---|---|---|
Drought | 79 proteins showed significant changes under drought. Important were RuBisCO and 11 others involved in redox regulation, oxidative stress, signal transduction and chaperone activities | Leaf | Hajheidari et al. [52] | |
Drought | Out of 12 proteins, 10 were up-regulated and 2 were down-regulated. These were mainly grouped as defense, energy, metabolism, cell structure and signal transduction proteins | Leaf sheath | Ali and Komatsu [116] | |
Drought | Out of 36 significantly changed proteins, 12 were increased in abundance while 24 were decreased. RuBisCO large subunit, triose phosphate isomerase, thiol-specific antioxidant protein, phosphoglycerate kinase were increased | Leaf | Caruso et al. [58] | |
Drought | Six proteins related to stress and carbon metabolism were found significantly up-regulated in leaves of drought stressed sunflower leaves. | Leaf | — | |
Drought | 32 proteins changed in root. HSP 70, actin B and methionine synthase were differentially changed in the 3 organs | Root Hypocotyl Leaf |
Mohammadi et al. [59] | |
Drought | 35 proteins in sensitive and 32 in tolerant line were differentially expressed. Six proteins in F1 hybrid were common to sensitive and tolerant lines | Root | Mohammadi et al. [60] | |
Drought | Out of 900 identified proteins, 38% were changed in abundance compared to non-treated. Pathogenesis-related, chitinases and redox proteins were increased while tubulins and transport-related proteins were decreased. | Root | Mirzaei et al. [61] | |
Drought | Early responding proteins included photosynthesis, glycolysis, translation, antioxidant defense, while late-responding proteins included transport, photorespiration, antioxidants, amino acid and carbohydrate metabolism | Shoot | Cramer et al. [117] | |
Drought | Identified proteins were involved metabolism, stress response, photosynthesis, and protein modification | Leaves | Kim et al. [15] | |
Drought | 643 proteins were significantly changed in soybean seedlings recovering from drought stress. Majority of these proteins belonged to stress, hormone metabolism, glycolysis and redox categories. | Root including hypocotyl | Khan and Komatsu [64] | |
Drought | Abundance of 68 proteins was changed. Out of these, 46 proteins were increased while 22 were decreased. Asparagine synthetase, alpha-galactosidase, fatty acid desaturase and plastid proteins were among the highly changed proteins | Leaf | Zhao et al. [118] | |
Drought | Abundance of 138 proteins was differentially changed. Drought-responsive differentially abundant proteins were involved in signal transduction, photosynthesis and glutathione-ascorbate metabolism. | Leaf | Wang et al. [67] | |
Drought | A total of 31 proteins were differentially changed in abundance under drought and 54 were changed during recovery phase. ABA accumulation pointed activation of chloroplast to nucleus signaling pathway | Leaf | Tamburino et al. [65] | |
Drought | Abundance of HSP-70 protein was highly changed. Protein synthesis, proteolysis and folding-related proteins increased in abundance | Stem | Zadražnik et al. [66] | |
Drought | Among the 79 significant identified proteins, nitrogen assimilation, and ATP and redox Homeostasis were up-regulated in water savers cultivars; while photosynthesis, carbohydrate, RNA processing and stress related proteins were increased in water spender cultivars during water stress | Leaf | Urban et al. [68] | |
Salt | Under 100 mM salt stress, seven proteins were found to be up- or down-regulated. LEA, b-conglycinin, elicitor peptide three precursor, and basic/helix–loop–helix protein were up-regulated. While protease inhibitor, lectin, and stem 31-kDa glycoprotein precursor were down-regulated | Root Hypocotyl |
Aghaei et al. [71] | |
Salt | ROS scavenging proteins were up-regulated in the tolerant genotype, while iron uptake proteins were up-regulated in the sensitive one | Root | Witzel et al. [73] | |
Salt | Total 18 proteins were differentially expressed under salt stress. Photosynthesis related proteins were up-regulated while defense-related proteins were down-regulated | Leaves | — | |
Salt | Total 23 salt stress-responsive proteins belonging to six functional groups were identified | Root, Hypocotyl | Chen et al. [119] | |
Salt | Metabolism-related proteins were found up- and down-regulated in leaves, hypocotyls and roots under salt stress | Root, Hypocotyl | Sobhanian et al. [75] | |
Salt, drought | The levels of ATP synthase alpha and beta subunits, RuBisCO, photosynthesis and ROS-related proteins were significantly changed under both stresses | Leaves | El Rabey et al. [120] | |
Salt, Drought | Of the total 124 stress responsive proteins, 26.61% were induced by drought, included chaperonin, cys-peroxiredoxin, ethylene response, and elongation factor; while 23.38% were induced by salinity stress, included bowman-birk type protease inhibitor, calcineurin B-like protein, cyclophilin and RNA binding proteins | Seed | Kamal et al. [121] | |
Salt | In the two different cultivars, 104 and 102 proteins were significantly altered. Actin-7, tubulin alpha, V-type proton ATPase, SOD and pyruvate decarboxylase were among the observed salt-induced proteins | Root | Damaris et al. [80] | |
Salt | From 30 differential protein spots, protein related to calvin cycle, adenosine-triphosphate regulation-related and 50S ribosomal proteins decreased while antioxidant enzymes abundance were increased. | Leaf | Bai et al. [78] | |
Salt | Out of total of 121 proteins, ubiquitination-related proteins, transcription factors, pathogen-related proteins and anti-oxidant enzymes were increased for homeostasis | Root | Jiang et al. [122] |
In addition to the above-mentioned studies of proteomic analysis on the whole plant level, some notable studies have also focused the impact of drought and salinity stresses on organ-specific proteomic constituents. The metabolism-related proteins such as the isoflavone reductase, were observed as down-regulated which possibly played an important role in plant defense against various stresses [55]. Leaf-specific protein analysis in other plants identified drought-responsive proteins. These studies were conducted in rice [56], sunflower [57], wheat [58] and soybean [59, 60]. Root-specific proteome analysis was conducted in a number of crops under various drought stress, which identified a wide range of proteins including those involved in pathogenesis, transport and oxidation-reduction reactions. Prominent studies were conducted incanola (
Salinization of arable lands may result in up to 50% land loss by the year 2050 [69]. Proteomic techniques have been employed for analyzing salt stress responses in plants. In salt-tolerant and -sensitive potato cultivars, photosynthesis-related proteins were down-regulated; whereas osmotin-like proteins, heat-shock proteins and protein inhibitors were up-regulated [70, 71]. In soybean, β-conglycinin, elicitor peptide three precursor, late embryogenesis-abundant protein, and basic/helix-loop-helix protein, were up-regulated, suggesting soybean adaptation to salt stress; whereas protease inhibitor, lectin and stem, 31-kDa glycoprotein precursor were down-regulated, suggesting the weakening of plant defense system under the salinity stress [72]. Differentiation of salt stress-related proteins was evaluated in tolerant and sensitive barley genotypes [73]. Another study conducted on barley found expression of germin-like and pathogenesis-related proteins important for salt stress responses [74]. ATP production-related glyceraldehyde-3-phosphate was down-regulated in soybean under salt stress [75]. Cupin domain protein 3.1 was revealed in enhancing seed germination in rice under salt stress [76]. In barley, salt stress increased the abundance of proteins related to anti-oxidation, signal transduction, protein biosynthesis, ATP generation and photosynthesis [77]. Proteomic analysis of oat leaves under salt stress indicated decrease in abundance of calvin cycle-related and adenosine-triphosphate regulation-related proteins; whereas antioxidant enzymes level was increased [78]. Alterations in proteomic profiles were recorded in wheat cultivars under salt stress [63]. Kamal et al. [79] reported a decrease in ATP synthase and V-type proton ATPase subunits; whereas cytochrome b6-f, germin-like-protein, glutamine synthetase, fructose-bisphosphatealdolase, S-adenosylmethionine synthase and carbonic anhydrase were gradually increased. Damaris et al. [80] reported induction of actin-7, tubulin alpha, V-type proton ATPase, SOD and pyruvate decarboxylase in salt-stressed wheat cultivars. Proteomic analysis of wheat roots indicated differential expression of a number of proteins such as transcription factors, proteins related to ubiquitination pathogenesis and antioxidant enzymes under salt stress [81]. All the above discussed studies show the importance of proteomics in unraveling the vital information about the plants responses to abiotic stresses such as drought and salinity stress responses.
7. Metabolomic analysis
Metabolomics is one of the most important “Omics” technologies that can be applied to different organisms with little or no modification. The term metabolomics was introduced by Nicholson et al. [82], and since then it has been utilized extensively in agricultural research [83, 84]. The metabolite profiling provides valuable information on the stress tolerance mechanisms and may be applied to bioengineer plants with improved stress tolerance. Metabolomics studies reveal information about compounds involved in acclimation to the stress, those which are by-products as a result of disruption of normal homeostasis and those involved in signal transduction in response to the stresses [85]. Due to involvement of metabolites in important life processes, the field of metabolic profiling could contribute significantly to the study of stress biology in plants. Both primary and secondary metabolites have been shown to play important roles in responses of plants to drought and salinity stresses. Primary metabolites such as sugars, amino acids and intermediates of Krebs cycle were found with important roles in photosynthetic dysfunction and osmotic readjustment. While, the secondary metabolites such as antioxidant scavengers, coenzymes and regulatory molecules responded to specific stress conditions. Both qualitative and quantitative studies of metabolites in response to abiotic stress are helpful in not only determining the phenotypic response of the plant and screening for stress tolerant lines but also reveal the genetic and biochemical mechanisms underlying the stress condition [86].
Drought and salt stresses affect the process of photosynthesis, affecting CO2 diffusion leading to photorespiration and hydrogen peroxide production, causing cell damage [87]. Most recently, Rabara et al. [88] analyzed the metabolomics profile of tobacco and soybean roots and leaves facing dehydration stress. The study revealed highest tissue specific accumulation of 4-hydroxy-2-oxoglutaric acid in tobacco roots and coumestrol in soybean roots; indicating 4-hydroxy-2-oxoglutaric acid and coumestrol can be used as markers for drought stress. Metabolomic analysis of intense drought-stressed grapevine leaves was conducted to reveal induction of several metabolites [89]. Metabolomic profiling of
Salinity stress has been investigated at metabolite level to reveal the response mechanism. In salinity-stressed barley plants, cell division and root elongation was found associated with accumulation of amino acids, sugars and organic acids [98]. Chen and Hoehenwarter [99] reported that sucrose, fructose, glycolysis intermediates and amino acids levels were altered in
8. The way forward
RNA-Seq and genome sequencing and proteomic techniques/technologies (2D, iTRAQ, MALDI, gel-free, label-free, LC-MS/MS-based technologies) have widened the dimensions of analyzing plant responses to abiotic stresses such as drought and salinity. Recent advances in the omics technologies have contributed considerably to our understanding of the plant abiotic stress-responsive mechanisms. In addition to advancing research in other related areas, emphasis has been on the proteomic analysis specific to whole plants, individual organs, tissues and cells [55]. These technologies are helping to characterize individual proteins specific to different organs, tissues and cells subjected to various abiotic stresses. Advanced proteomic information, coupled with other omics approaches would further strengthen the efforts to develop breeding programs based on identification of novel proteins/genes and their integration through marker-assisted selection. However, further efforts are required to focus on individual target points associated with “Omics” technologies and their application to dissect stress-responsive mechanisms. Research needs to be focused on several fronts such as more studies that target post translational modifications (PTMs), cell type-specific proteome analysis, advanced mapping populations in crop plants and comparative proteomic studies. PTMs of proteins may change their stability, subcellular localization, interactions with other proteins and ultimately proteins functioning. A number of studies revealed the important role of PTMs in protein functioning. Studies have been conducted to analyses protein phosphorylation in maize [108, 109], phosphorylation and ubiquitination in
Individual proteins characterization and quantification is essential to fully explore the stress-responsive mechanisms in organs, tissues and cells. However, problems may arise due to the conventional methodologies such as protein detection on 2-DE gels [55]. Improved extraction methodologies may overcome such problems. Poor proteome coverage may be the result while detecting leaf proteome with abundance of RuBisCO that constitutes almost half of the total leaf proteins. However, proteome coverage may be improved with the recently adopted fractionation of crude protein extract. Similarly, quantification of stress responsive low abundance target proteins may be improved through selected reaction monitoring (SRM) technique [113, 114]. Such improved techniques would also help unravel commonly expressed proteins in different organs under multiple abiotic stresses. These advanced techniques coupled with improved bioinformatics approaches may help shed further light on plant responses to abiotic stresses. Recently, transgenic plants conferring abiotic stress tolerance have entered vigorous evaluations under greenhouse and filed conditions. Comparative proteomic studies of these transgenic plants may be helpful to characterize key stress-responsive factors among large number of commonly expressed proteins. Identification of major stress-responsive proteins coupled with advances in transcriptomics, metabolomics and bioinformatics tools would help unravel the complex interactions among stress-responsive signaling pathways. Moreover, omics approaches such as proteomics can be extremely helpful in analyzing post-stress recovery responses in the plants, revealing the key proteins/genes involved in the recovery stage [115].
9. Conclusions
Different omics tools have been exploited to unravel plant responses to drought and salt stresses. However, further studies should be conducted to integrate multiple omics approaches including phenomics coupled with RNA-Seq and state-of-the-art proteomic technologies. These future developments will provide further impetus to the ongoing efforts of developing drought- and salt-tolerant plants with comparatively improved growth and yield potential under realistic field conditions.
References
- 1.
Vahdati K, Leslie C. Abiotic Stress-Plant Responses and Applications in Agriculture. Rijeka, Croatia: In Tech; 2013 - 2.
Fraire-Velázquez S, Balderas-Hernández VE. Abiotic stress in plants and metabolic responses. In: Vahdati K, Leslie C, editors. Abiotic Stress-Plant Responses and Applications in Agriculture. Rijeka, Croatia: In Tech; 2013. DOI: 10.5772/45842 - 3.
Ruan CJ, Teixeira da Silva JA. Metabolomics: Creating new potentials for unraveling the mechanisms in response to salt and drought stress and for the biotechnological improvement of xero-halophytes. Critical Reviews in Biotechnology. 2011; 31 :153-169 - 4.
Peleg Z, Apse MP, Blumwald E. Engineering salinity and water stress tolerance in crop plants: Getting closer to the field. Advances in Botanical Research. 2011; 57 :406-432 - 5.
Gorantla M, Babu PR, Lachagari VBR, Reddy AMM, Wusirika R, Bennetzen JL, et al. Identification of stress-responsive genes in an indica rice ( Oryza sativa L.) using ESTs generated from drought-stressed seedlings. Journal of Experimental Botany. 2007;58 :253-265 - 6.
Delano-Frier JP, Aviles-Arnaut H, Casarrubias-Castillo K, Casique-Arroyo G, Castrillon-Arbelaez PA, Herrera-Estrella L, et al. Transcriptomic analysis of grain amaranth ( Amaranthus hypochondriacus ) using 454 pyrosequencing: Comparison withA. tuberculatus , expression profiling in stems and in response to biotic and abiotic stress. BMC Genomics. 2011;12 :363 - 7.
Blumwald E. Engineering salt tolerance in plants. Biotechnology & Genetic Engineering Reviews. 2003; 20 :261-275 - 8.
Zhang J, Klueva NY, Wang Z, Wu R, Ho THD, Nguyen HT. Genetic engineering for abiotic stress resistance in crop plants. In Vitro Cellular & Developmental Biology. Plant. 2000; 36 :108-114 - 9.
Shinozaki K, Yamaguchi-Shinozaki K. Gene expression and signal transduction in water-stress response. Plant Physiology. 1997; 115 :327-334 - 10.
Vij S, Tyagi AK. Emerging trends in the functional genomics of the abiotic stress response in crop plants. Plant Biotechnology Journal. 2007; 5 :361-380 - 11.
Colbert T, Till BJ, Tompa R, Reynolds S, Steine MN, Yeung AT, et al. High-throughput screening for induced point mutations. Plant Physiology. 2001; 126 :480-484 - 12.
Henikoff S, Comai L. Single-nucleotide mutations for plant functional genomics. Annual Review of Plant Biology. 2003; 54 :375-401 - 13.
Wu JL, Wu C, Lei C, Baraoidan M, Bordeos A, Madamba MR, et al. Chemical- and irradiation-induced mutants of indica rice IR64 for forward and reverse genetics. Plant Molecular Biology. 2005;59 :85-97 - 14.
Gorantla M, Babu PR, Reddy Lachagari VB, Feltus FA, Paterson AH, Reddy AR. Functional genomics of drought stress response in rice: Transcript mapping of annotated unigenes of an indica rice (Oryza sativa L. cv. Nagina 22). Current Science. 2005;89 :496-514 - 15.
Gao JP, Lin HX. QTL analysis and map-based cloning of salt tolerance gene in rice. Methods in Molecular Biology. 2013; 956 :69-82 - 16.
Tiwari S, Krishnamurthi SL, Kumar V, Singh B, Rao AR, et al. Mapping QTLs for salt tolerance in rice ( Oryza sativa L.) by bulked segregant analysis of recombinant inbred lines using 50K SNP chip. PLoS One. 2017;11 (3):e0151076. DOI: 10.1371/journal.pone.0153610 - 17.
Lang L, Xu A, Ding J, Zhang Y, Zhao N, et al. Quantitative trait locus mapping of salt tolerance and identification of salt-tolerant genes in Brassica napus L. Frontiers in Plant Science. 2014;8 :1000. DOI: 10.3389/fpls.2017.01000. eCollection 2017 - 18.
Luo M, Zhao Y, Zhang R, Xing J, Duan M, et al. Mapping of a major QTL for salt tolerance of mature field-grown maize plants based on SNP markers. BMC Plant Biology. 2017; 17 :140 - 19.
Gupta P, De B. Metabolomics analysis of rice responses to salinity stress revealed elevation of serotonin, and gentisic acid levels in leaves of tolerant varieties. Plant Signaling & Behavior. 2017; 12 :e1335845. DOI: 10.1080/15592324.2017.1335845 - 20.
Du L, Cai C, Wu S, Zhang F, Hou S, Guo W. Evaluation and exploration of favorable QTL alleles for salt stress related traits in cotton cultivars ( G .hirsutum L.). PLoS One. 2016;11 (3):e0151076. DOI: 10.1371/journal.pone.0151076 - 21.
Das G, Rao GJN. Molecular marker gene stacking for biotic and abiotic stress resistance genes in an elite rice cultivar. Frontiers in Plant Science. 2015; 6 :698 - 22.
Das G, Patra JK, Baek KH. Insight into MAS: A molecular tool for development of stress resistant and quality of rice through gene stacking. Frontiers in Plant Science. 2017; 8 :985 - 23.
Papdi C, Leung J, Joseph M. Genetic screens to identify plant stress genes. Methods in Molecular Biology. 2010; 639 :121-139 - 24.
Punjabi-Sabharwal V, Karan R, Khan T, Pareek A. Abiotic stress responses: Complexities in gene expression. In: Pareek A, Sopory SK, Bonhert HJ, Govindji, editors. Abiotic Stress Adaptation in Plants: Physiological, Molecular and Genomic Foundation. Springer Netherlands: Springer Dordrecht; 2010. pp. 177-198 - 25.
Koiwa H, Bressan RA, Hasegawa PM. Identification of plant stress-responsive determinants in Arabidopsis by large scale forward genetic screens. Journal of Experimental Botany. 2006;57 :1119-1128 - 26.
Qu LJ, Qin G. Generation and characterization of Arabidopsis T-DNA insertion mutants. Methods in Molecular Biology. 2014; 1062 :241-258 - 27.
Prasanna S, Jain SM. Mutant resources and mutagenomics in crop plants. Emirates Journal of Food and Agriculture. 2017; 29 :651-657. DOI: 10.9755/ejfa.2017.v29.i9.86 - 28.
An G, Lee S, Kim SH, Kim SR. Molecular genetics using T-DNA in rice. Plant & Cell Physiology. 2005b; 46 :14-22 - 29.
Jiang SY, Ramachandran S. Natural and artificial mutants as valuable resources for functional genomics and molecular breeding. International Journal of Biological Sciences. 2010; 6 :228-251 - 30.
Springer PS. Gene traps, tools for plant development and genomics. The Plant Cell. 2000; 12 :1007-1020 - 31.
Rensink WA, Buell CR. Microarray expression profiling resources for plant genomics. Trends in Plant Science. 2005; 10 :603-609 - 32.
Abbasi FM, Komatsu S. A proteomic approach to analyze salt-responsive proteins in rice leaf sheath. Proteomics. 2004; 4 :2072-2081 - 33.
Oono Y, Seki M, Nanjo T, Narusaka M, Fujita M, Satoh R, et al. Monitoring expression profiles of Arabidopsis gene expression during rehydration process after dehydration using ca. 7,000 full-length cDNA microarray. The Plant Journal. 2003;34 :868-887 - 34.
Kawaguchi R, Girke T, Bray EA, Bailey-Serres J. Differential mRNA translation contributes to gene regulation under non-stress and dehydration stress conditions in Arabidopsis thaliana . The Plant Journal. 2004;38 :823-839 - 35.
Postnikova OA, Shao J, Nemchinov LG. Analysis of the alfalfa root transcriptome in response to salinity stress. Plant & Cell Physiology. 2013; 54 :1041-1055 - 36.
Utsumi Y, Tanaka M, Morosawa T, Kurotani A, Yoshida T, Mochida K, et al. Transcriptome analysis using a high-density oligomicroarray under drought stress in various genotypes of cassava: An important tropical crop. DNA Research. 2012; 19 :335-345 - 37.
Rabbani MA, Maruyama K, Abe H, Khan MA, Katsura K, Ito Y, et al. Monitoring expression profiles of rice genes under cold, drought, and high-salinity stresses and abscisic acid application using cDNA microarray and RNA gel-blot analyses. Plant Physiology. 2003; 133 :1755-1767 - 38.
Lan L, Li M, Lai Y, Xu Y, Kong Z, Ying K, et al. Microarray analysis reveals similarities and variations in genetic programs controlling pollination/fertilization and stress responses in rice ( Oryza sativa .). Plant Molecular Biology. 2005;59 :151-164 - 39.
Moumeni A, Satoh K, Kondoh H, Asano T, Hosaka A, Venuprasad R, et al. Comparative analysis of root transcriptome profiles of two pairs of drought-tolerant and susceptible rice near-isogenic lines under different drought stresses. BMC Plant Biology. 2011; 11 :174 - 40.
Chao DY, Luo YH, Shi M, Luo D, Lin HX. Salt-responsive genes in rice revealed by cDNA microarray analysis. Cell Research. 2005; 15 :796-810 - 41.
Hmida-Sayari A, Costa A, Leone A, Jaoua S, Gargouri-Bouzid R. Identification of salt stress-induced transcripts in potato leaves by cDNA-AFLP. Molecular Biotechnology. 2005; 30 :31-40 - 42.
Rensink W, Hart A, Liu J, Ouyang S, Zismann V, Buell CR. Analyzing the potato abiotic stress transcriptome using expressed sequence tags. Genome. 2005a; 48 :598-605 - 43.
Rensink WA, Iobst S, Hart A, Stegalkina S, Liu J, Buell CR. Gene expression profiling of potato responses to cold, heat, and salt stress. Functional & Integrative Genomics. 2005b; 5 :201-207 - 44.
Pratt LH, Liang C, Shah M, Sun F, Wang H, Reid SP, et al. Sorghum expressed sequence tags identify signature genes for drought, pathogenesis, and skotomorphogenesis from a milestone set of 16,801 unique transcripts. Plant Physiology. 2005; 139 :869-884 - 45.
Li YC, Meng FR, Zhang CY, Zhang N, Sun MS, Ren JP, et al. Comparative analysis of water stress-responsive transcriptomes in drought-susceptible and -tolerant wheat ( Triticum aestivum L.). Journal of Plant Biology. 2012;55 :349-360 - 46.
Zheng J, Fu J, Gou M, Huai J, Liu Y, Jian M, et al. Genome-wide transcriptome analysis of two maize inbred lines under drought stress. Plant Molecular Biology. 2010; 72 :407-421 - 47.
Shankar R, Bhattacharjee A, Jain M. Transcriptome analysis in different rice cultivars provides novel insights into desiccation and salinity stress responses. Scientific Reports. 2016; 6 :23719. DOI: 10.1038/srep23719 - 48.
Ma J, Li R, Wang H, Li D, Wang X, Zhang Y, et al. Transcriptomics analyses reveal wheat responses to drought stress during reproductive stages under field conditions. Frontiers in Plant Science. 2017; 8 :592. DOI: 10.3389/fpls.2017.00592 - 49.
Fracasso A, Trindade LM, Amaducci M. Drought stress tolerance strategies revealed by RNA-Seq in two sorghum genotypes with contrasting WUE. BMC Plant Biology. 2016; 16 :115 - 50.
Song K, Kim HC, Shin S, Kim KH, Moon JC, Kim JY, et al. Transcriptome analysis of flowering time genes under drought stress in maize leaves. Frontiers in Plant Science. 2017; 8 :267 - 51.
Wilkins MR, Sanchez JC, Gooley AA, Appel RD, Humphery-Smith I, Hochstrasser DF, et al. Progress with proteome projects: Why all proteins expressed by a genome should be identified and how to do it. Biotechnology & Genetic Engineering Reviews. 1996; 13 :19-50 - 52.
Hajheidari M, Noghabi MA, Askari H, Heidari M, Sadeghian SY, Ober ES, et al. Proteome analysis of sugar beet leaves under drought stress. Proteomics. 2005; 5 :950-960 - 53.
Kim SG, Lee JS, Kim JT, Kwon YS, Bae DW, Bae HH, et al. Physiological and proteomic analysis of the response to drought stress in an inbred Korean maize line. Plant Omics. 2015; 8 :159-168 - 54.
Scarpeci TE, Frea VS, Zanor ML, Valle EM. Overexpression of AtERF019 delays plant growth and senescence, and improved drought tolerance in Arabidopsis. Journal of Experimental Botany. 2017; 68 :673-685 - 55.
Komatsu S, Hossain Z. Organ-specific proteome analysis for identification of abiotic stress response mechanism in crop. Frontiers in Plant Science. 2013; 4 :71. DOI: 10.3389/fpls.2013.00071 - 56.
Ke Y, Han G, He H, Li J. Differential regulation of proteins and phosphoproteins in rice under drought stress. Biochemical and Biophysical Research Communications. 2013; 379 :133-138 - 57.
Castillejo MA, Maldonado AM, Ogueta S, Jorrín JV. Proteomic analysis of responses to drought stress in sunflower ( Helianthus annuus ) leaves by 2DE gel electrophoresis and mass spectrometry. The Open Proteomics Journal. 2008;1 :59-71 - 58.
Caruso G, Cavaliere C, Foglia P, Gubbiotti R, Samperi R, Laganà A. Analysis of drought responsive proteins in wheat ( Triticum durum ) by 2D-PAGE and MALDI-TOF mass spectrometry. Plant Science. 2009;177 :570-576 - 59.
Mohammadi PP, Moieni A, Hiraga S, Komatsu S. Organ-specific proteomic analysis of drought-stressed soybean seedlings. Journal of Proteomics. 2012a; 75 :1906-1923 - 60.
Mohammadi PP, Moieni A, Komatsu S. Comparative proteome analysis of drought-sensitive and drought-tolerant rapeseed roots and their hybrid F1 line under drought stress. Amino Acids. 2012b; 43 :2137-2152 - 61.
Mirzaei M, Soltani N, Sarhadi E, Pascovici D, Keighley T, Salekdeh GH, et al. Shotgun proteomic analysis of long-distance drought signaling in rice roots. Journal of Proteome Research. 2012; 11 :348-358 - 62.
Liu CW, Hsu YK, Cheng YH, Yen HC, Wu YP, Wang CS, et al. Proteomic analysis of salt-responsive ubiquitin-related proteins in rice roots. Rapid Communications in Mass Spectrometry. 2012; 26 :1649-1660 - 63.
Guo G, Ge P, Ma C, Li X, Lv D, Wang S, et al. Comparative proteomic analysis of salt response proteins in seedling roots of two wheat varieties. Journal of Proteomics. 2012; 75 :1867-1885 - 64.
Khan MN, Komatsu S. Proteomic analysis of soybean root including hypocotyl during recovery from drought stress. Journal of Proteomics. 2016; 144 :39-50 - 65.
Tamburino R, Vitale M, Ruggiero A, Sassi M, Sannino L, Arena S, et al. Chloroplast proteome response to drought stress and recovery in tomato ( Solanum lycopersicum L.). BMC Plant Biology. 2017;17 :40 - 66.
Zadražnik T, Egge-Jacobsen W, Meglič V, Šuštar-Vozlič J. Proteomic analysis of common bean stem under drought stress using in-gel stable isotope labeling. Journal of Plant Physiology. 2017; 209 :42-50 - 67.
Wang L, Jin X, Li Q, Wang X, Li Z, Wu X. Comparative proteomics reveals that phosphorylation of β carbonic anhydrase 1 might be important for adaptation to drought stress in Brassica napus . Scientific Reports. 2016;6 - 68.
Urban MO, Vašek J, Klíma M, Krtková J, Kosová K, Prášil IT, et al. Proteomic and physiological approach reveals drought-induced changes in rapeseeds: Water-saver and water-spender strategy. Journal of Proteomics. 2017; 152 :188-205 - 69.
Ma H, Yang R, Song L, Yang Y, Wang Q, Wang Z, et al. Differential proteomic analysis of salt stress response in jute (Corchoruscapsularis&olitorius L.) seedling roots. Pakistan Journal of Botany. 2015; 47 :385-396 - 70.
Aghaei K, Ehsanpour AA, Komatsu S. Proteome analysis of potato under salt stress. Journal of Proteome Research. 2008a; 7 :4858-4868 - 71.
Aghaei K, Ehsanpour AA, Komatsu S. Potato responds to salt stress by increased activity of antioxidant enzymes. Journal of Integrative Plant Biology. 2009; 51 :1095-1103 - 72.
Aghaei K, Ehsanpour AA, Shah AH, Komatsu S. Proteome analysis of soybean hypocotyls and root under salt stress. Amino Acids. 2008b; 36 :91-98 - 73.
Witzel K, Weidner A, Surabhi GK, Borner A, Mock HP. Salt stress-induced alterations in the root proteome of barley genotypes with contrasting response towards salinity. Journal of Experimental Botany. 2009; 60 :3545-3557 - 74.
Witzel K, Matros A, Strickert M, Kaspar S, Peukert M, Mühling KH, et al. Salinity stress in roots of contrasting barley genotypes reveals time-distinct and genotype-specific patterns for defined proteins. Molecular Plant. 2014; 7 :336-355 - 75.
Sobhanian H, Razavizadeh R, Nanjo Y, Ehsanpour AA, Jazii FR, Motamed N, et al. Proteome analysis of soybean leaves, hypocotyls and roots under salt stress. Proteome Science. 2010; 8 :19 - 76.
Xu E, Chen M, He H, Zhan C, Cheng Y, Zhang H, et al. Proteomic analysis reveals proteins involved in seed imbibition under salt stress in rice. Frontiers in Plant Science. 2016; 7 :2006 - 77.
Rasoulnia A, Bihamta MR, Peyghambari SA, Alizadeh H, Rahnama A. Proteomic response of barley leaves to salinity. Molecular Biology Reports. 2011; 38 :5055-5063 - 78.
Bai J, Qin Y, Liu J, Wang Y, Sa R, Zhang N, et al. Proteomic response of oat leaves to long-term salinity stress. Environmental Science and Pollution Research. 2016:1-3 - 79.
Kamal AH, Cho K, Kim DE, Uozumi N, Chung KY, Lee SY, et al. Changes in physiology and protein abundance in salt-stressed wheat chloroplasts. Molecular Biology Reports. 2012; 39 :9059-9074 - 80.
Damaris RN, Li M, Liu Y, Chen X, Murage H, Yang P. A proteomic analysis of salt stress response in seedlings of two African rice cultivars. Biochimica et Biophysica Acta (BBA)-Proteins Proteomics. 2016; 1864 :1570-1578 - 81.
Jiang Q, Li X, Niu F, Sun X, Hu Z, Zhang H. iTRAQ-based quantitative proteomic analysis of wheat roots in response to salt stress. Proteomics. 2010; 17 . DOI: 10.1002/pmic.201600265 - 82.
Nicholson JK, Lindon JC, Holmes E. 'Metabonomics': Understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica. 1999; 29 :1181-1189 - 83.
Hagel JM, Mandal R, Han B, Han J, Dinsmore DR, Borchers CH, et al. Metabolome analysis of 20 taxonomically related benzylisoquinoline alkaloid-producing plants. BMC Plant Biology. 2015; 15 :220 - 84.
Misra BB, Yin Z, Geng S, de Armas E, Chen S. Metabolomic responses of arabidopsis suspension cells to bicarbonate under light and dark conditions. Scientific Reports. 2016; 6 - 85.
Shulaeva V, Cortesa D, Miller G, Mittler R. Metabolomics for plant stress response. Physiologia Plantarum. 2008; 132 :199-208 - 86.
Hong J, Yang L, Zhang D, Shi J. Plant metabolomics: An indispensable system biology tool for plant science. International Journal of Molecular Sciences. 2016; 17 :767 - 87.
Hossain Z, López-Climent MF, Arbona V, Pérez-Clemente RM, Gómez-Cadenas A. Modulation of the antioxidant system in citrus under water logging and subsequent drainage. Journal of Plant Physiology. 2009; 166 :1391-1404 - 88.
Rabara RC, Tripathi P, Rushton PJ. Comparative metabolome profile between tobacco and soybean grown under water-stressed conditions. BioMed Research International. 2017; 2017 . ID 3065251. DOI: 10.1155/2017/3065251 - 89.
Griesser M, Weingart G, Schoedl-Hummel K, Neumann N, Becker M, Varmuza K, et al. Severe drought stress is affecting selected primary metabolites, polyphenols, and volatile metabolites in grapevine leaves ( Vitis vinifera cv. Pinot noir). Plant Physiology and Biochemistry. 2015;88 :17-26 - 90.
Rizhsky L, Liang H, Shuman J, Shulaev V, Davletova S, Mittler R. When defense pathways collide.The response of Arabidopsis to a combination of drought and heat stress. Plant Physiology. 2004; 134 :1683-1696 - 91.
Moradi P, Ford-lloyd B, Pritchard J. Metabolomic approach reveals the biochemical mechanisms underlying drought stress tolerance in thyme. Analytical Biochemistry. 2017; 527 :49-62 - 92.
Alvarez S, Marsh EL, Schroeder SG, Schachtman DP. Metabolomic and proteomic changes in the xylem sap of maize under drought. Plant, Cell & Environment. 2008; 31 :325-340 - 93.
Catola S, Marino G, Emiliani G, Huseynova T, Musayev M, Akparov Z, et al. Physiological and metabolomic analysis of Punicagranatum (L.) under drought stress. Planta. 2016; 243 :441-449 - 94.
Nam KH, Shin HJ, Pack IS, Park JH, Kim HB, Kim CG. Metabolomic changes in grains of well-watered and drought-stressed transgenic rice. Journal of the Science of Food and Agriculture. 2016; 96 :807-814 - 95.
Zhang JY, Cruz-De-Carvaho MH, Torres-Jerez IV, Kang YU, Allen SN, Huhman DV, et al. Global reprogramming of transcription and metabolism in Medicavalhogotruncatula during progressive drought and after rewatering. Plant, Cell & Environment. 2014; 37 :2553-2576 - 96.
Barchet GL, Dauwe R, Guy RD, Schroeder WR, Soolanayakanahally RY, Campbell MM, et al. Investigating the drought-stress response of hybrid poplar genotypes by metabolite profiling. Tree Physiology. 2014; 34 :1203-1209 - 97.
Nakabayashi R, Mori T, Saito K. Alternation of flavonoid accumulation under drought stress in Arabidopsis thaliana . Plant Signaling & Behavior. 2014;9 :e29518 - 98.
Shelden MC, Dias DA, Jayasinghe NS, Bacic A, Roessner U. Root spatial metabolite profiling of two genotypes of barley ( Hordeum vulgare L.) reveals differences in response to short-term salt stress. Journal of Experimental Botany. 1996;67 (12):3731-3745. erw059 - 99.
Chen Y, Hoehenwarter W. Changes in the phosphoproteome and metabolome link early signaling events to rearrangement of photosynthesis and central metabolism in salinity and oxidative stress response in Arabidopsis. Plant Physiology. 2015; 169 (4):3021-3033. 01486 - 100.
Nam MH, Bang E, Kwon TY, Kim Y, Kim EH, Cho K, et al. Metabolite profiling of diverse rice germplasm and identification of conserved metabolic markers of rice roots in response to long-term mild salinity stress. International Journal of Molecular Sciences. 2015; 16 :21959-21974 - 101.
Meulebroek LV, Hanssens J, Steppe K, Vanhaecke L. Metabolic fingerprinting to assess the impact of salinity on carotenoid content in developing tomato fruits. International Journal of Molecular Sciences. 2016; 17 :821 - 102.
Cao D, Lutz A, Hill CB, Callahan DL, Roessner U. A quantitative profiling method of phytohormones and other metabolites applied to barley roots subjected to salinity stress. Frontiers in Plant Science. 2017; 7 - 103.
Behr JH, Bouchereau A, Berardocco S, Seal CE, Flowers TJ, Zörb C. Metabolic and physiological adjustment of Suaeda maritima to combined salinity and hypoxia. Annals of Botany. 2017; 119 :965-976 - 104.
Lee SJ, Jeong EM, Ki AY, Oh KS, Kwon J, Jeong JH, et al. Oxidative defense metabolites induced by salinity stress in roots of Salicornia herbacea . Journal of Plant Physiology. 2016;206 :133-142 - 105.
Zarza X, Atanasov KE, Marco F, Arbona V, Carrasco P, Kopka J, et al. Polyamine oxidase 5 loss-of-function mutations in Arabidopsis thaliana trigger metabolic and transcriptional reprogramming and promote salt stress tolerance. Plant, Cell & Environment. 2016;40 :527-542 - 106.
Mao G, Seebeck T, Schrenker D, Yu O. CYP709B3, a cytochrome P450 monooxygenase gene involved in salt tolerance in Arabidopsis thaliana . BMC Plant Biology. 2013;13 :169 - 107.
Kiani-Pouya A, Roessner U, Jayasinghe NS, Lutz A, Rupasinghe T, Bazihizina N, et al. Epidermal bladder cells confer salinity stress tolerance in the halophyte quinoa and Atriplex species. Plant, Cell & Environment. 2017; 40 :1900-1915 - 108.
Bonhomme L, Benoît V, Tardieu F, Zivy M. Phosphoproteome dynamics upon changes in plant water status reveal early events associated with rapid growth adjustment in maize leaves. Molecular & Cellular Proteomics. 2012; 11 :957-972 - 109.
Hu Y, Guo S, Li X, Ren X. Comparative analysis of salt-responsive phosphoproteins in maize leaves using Ti4+–IMAC enrichment and ESI-Q-TOF MS. Electrophoresis. 2013; 34 :485-492 - 110.
Kim MH, Sonoda Y, Sasaki K, Kaminaka H, Imai R. Interactome analysis reveals versatile functions of Arabidopsis COLD SHOCK DOMAIN PROTEIN 3 in RNA processing within the nucleus and cytoplasm. Cell Stress & Chaperones. 2013;18 :517-525 - 111.
Vialaret J, Di Pietro M, Hem S, Maurel C, Rossignol M, Santoni V. Phosphorylation dynamics of membrane proteins from Arabidopsis roots submitted to salt stress. Proteomics. 2014; 14 :1058-1070 - 112.
Mustafa G, Komatsu S. Quantitative proteomics reveals the effect of protein glycosylation in soybean root under flooding stress. Frontiers in Plant Science. 2014; 5 :627 - 113.
Picotti P, Aebersold R. Selected reaction monitoring-based proteomics: Workflows, potential, pitfalls and future directions. Nature Methods. 2012; 9 :555-566 - 114.
Picotti P, Clement-Ziza M, Lam H, Campbell DS, Schmidt A, Deutsch EW, et al. A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis. Nature. 2013; 494 :266-270 - 115.
Khan MN, Sakata K, Hiraga S, Komatsu S. Quantitative proteomics reveals that peroxidases play key roles in post-flooding recovery in soybean roots. Journal of Proteome Research. 2014; 13 :5812-5828 - 116.
Ali GM, Komatsu S. Proteomic analysis of rice leaf sheath during drought stress. Journal of Proteome Research. 2006; 5 :396-403 - 117.
Cramer GR, Sluyter SCV, Hopper DW, Pascovici D, Keighley T, Haynes PA. Proteomic analysis indicates massive changes in metabolism prior to the inhibition of growth and photosynthesis of grapevine ( Vitis vinifera L.) in response to water deficit. BMC Plant Biology. 2013;13 :49 - 118.
Zhao F, Zhang D, Zhao Y, Wang W, Yang H, Tai F, et al. The difference of physiological and proteomic changes in maize leaves adaptation to drought, heat, and combined both stresses. Frontiers in Plant Science. 2016; 7 :1471 - 119.
Chen S, Gollop N, Heuer B. Proteomic analysis of salt-stressed tomato ( Solanum lycopersicum ) seedlings: Effect of genotype and exogenous application of glycinebetaine. Journal of Experimental Botany. 2009;60 :2005-2019 - 120.
El Rabey HA, Al-Malki AL, Abulnaja KO. Proteome analysis of date palm ( Phoenix dactylifera L.) under severe drought and salt stress. International Journal of Genomics. 2016;7840759 :8 - 121.
Kamal AHM, Kim KH, Shin KH, Choi JS, Baik BK, et al. Abiotic stress responsive proteins of wheat grain determined using proteomics technique. AJCS. 2010; 4 :196-208 - 122.
Jiang F, Shen Y, Ma C, Zhang X, Cao W, Rui Y. Effects of TiO2 nanoparticles on wheat ( Triticum aestivum L .) seedlings cultivated under super-elevated and normal CO2 conditions. PLoS One. 2017;12 (5). DOI: 10.1371/journal.pone.0178088