| Literature DB >> 33053653 |
Abstract
Soybean, which is rich in protein and oil as well as phytochemicals, is cultivated in several climatic zones. However, its growth is markedly decreased by flooding stress, which is caused by climate change. Proteomic techniques were used for understanding the flood-response and -tolerant mechanisms in soybean. Subcellular proteomics has potential to elucidate localized cellular responses and investigate communications among subcellular components during plant growth and under stress stimuli. Furthermore, post-translational modifications play important roles in stress response and tolerance to flooding stress. Although many flood-response mechanisms have been reported, flood-tolerant mechanisms have not been fully clarified for soybean because of limitations in germplasm with flooding tolerance. This review provides an update on current biochemical and molecular networks involved in soybean tolerance against flooding stress, as well as recent developments in the area of functional genomics in terms of developing flood-tolerant soybeans. This work will expedite marker-assisted genetic enhancement studies in crops for developing high-yielding stress-tolerant lines or varieties under abiotic stress.Entities:
Keywords: flooding; omics; proteomics; soybean; stress response; stress tolerant
Mesh:
Substances:
Year: 2020 PMID: 33053653 PMCID: PMC7589014 DOI: 10.3390/ijms21207497
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Utilization of proteomics in other crops under flooding stress.
| Crop | Organ | Growth Stage/ | Findings | Reference |
|---|---|---|---|---|
| rice | coleoptile | seed/4 days | The majority of identified proteins were related to stress response and redox metabolism in anoxic rice coleoptile. | [ |
| spike | 57-day-old/8 days | Electron transfer chain was destroyed to inhibit photosynthesis, while antioxidant system was activated to regulate ROS metabolism under submergence stress. | [ | |
| maize | leaf | 4-leaf-stage/5 days | Proteins related to energy metabolism, photosynthesis, PCD, phytohormone, and polyamine responded to flooding; and damaged photosynthetic system led to disruption in energy metabolism and ROS overproduction under flooding. | [ |
| root | 2-leaf-stage/3 days | NADP-malic enzyme, glutamate decarboxylase, coproporphyrinogen III oxidase, GSH S-transferase, GSH dehydrogenase, and XTH 6 were specifically accumulated to manage energy consumption, maintain pH levels, and minimize oxidative damage in waterlogging-tolerant maize. | [ | |
| leaf | 29-day-old/4, 28, 52 h | Combination of native IEF-PAGE and hrCNE was powerful to investigate alteration of Class III peroxidases, which played roles in ROS scavenging, cell-wall loosening, and aerenchyma formation in flooded maize. | [ | |
| leaf | 3-leaf-satge/6 days | 6-BA exaggerated waterlogging defense through proteins related to protein metabolism, ROS scavenging, and fatty acid metabolism. | [ | |
| wheat | root | 2-day-old/2 days | Decreased proteins of methionine synthase, beta-1,3-glucanases, and beta-glucosidase played roles in methionine assimilation and cell wall hydrolysis under flooding. | [ |
| leaf | 7 days after anthesis/7 days | Waterlogging priming induced proteins related to energy metabolism, stress defense, and ethylene biosynthesis to improve wheat tolerance towards waterlogging. | [ | |
| root | 12-day-old/1–3 days | Acid phosphatase, oxidant protective enzyme, and SAM1 could be utilized as indicators for improving waterlogging tolerance in wheat. | [ | |
| radicle | seed/1 day | Starch-sucrose metabolism was specifically enriched by submergences compared with salt and drought during seed germination. | [ | |
| rapeseed | root | 1.5-day-old/4, 8, 12 h | Flooding induced proteins were mainly enriched in oxidation-reduction process, signal transduction, carbohydrate metabolism regardless of rapeseed genotype; however, large number of flood-altered-proteins indicated a quick active proteome response in the tolerant cultivar. | [ |
| barley | root, leaf | 4-leaf-stage/21 days | Proteins of PDC, ACO, and GST played roles in energy metabolism, ethylene production, and ROS homeostasis to improve waterlogging adaptation. | [ |
| alfalfa | leaf | 35-day-old/12 days | Amylase, ERF, CIPKs, GPX, and GST conferred alfalfa waterlogging tolerance. | [ |
6-BA, 6-benzyladenine; ACO, 1-amino cyclopropane 1-carboxylic acid oxidase; CIPK, calcineurin B-like interacting protein kinase; ERF, ethylene response factor; GPX, glutathione peroxidase; GS, glutamine synthetase; GSH, glutathione; GST, glutathione-S-transferase; hrCNE, high resolution Clear Native Electrophoresis; IEF, isoelectric focusing; PAGE, polyacrylamide gel electrophoresis; PCD, programmed cell death; PDC, pyruvate decarboxylase; ROS, reactive oxygen species; SAM1, S-adenosylmethionine synthetase 1; XTH, xyloglucan endotransglucosylase. Publications from 2010 onwards on crop proteomics under flooding stress were collected.
Proteomic analysis to understand flood-tolerant mechanisms in soybean.
| Experimental Materials | Growth Stage/ Flooding Time | Findings | Reference |
|---|---|---|---|
| radicle/128 soybean cultivars | 2-day-old/2 days | Levels of RNA-metabolism related proteins and flooding indicator proteins correlated with flooding tolerance levels in soybean. | [ |
| root/flooding mutant | 2-day-old/2 days | Anaerobic metabolism was more efficient in mutant line than wild-type soybean under flooding, and reduction of cell-wall loosening allowed rapid growth of root tip after water removal. | [ |
| root, hypocotyl/ | 2-day-old/2 days | Overexpression of | [ |
| root, hypocotyl/millimeter-wave treatment | 2-day-old/2 days | Millimeter-wave irradiation promoted soybean recovery from flooding via regulation of glycolysis and redox-related pathways. | [ |
| root/ABA treatment | 2-day-old/2 days | ABA conferred soybean flooding tolerance through regulation of glycolysis and nuclear-localized proteins of zinc finger proteins, cell division cycle 5, and transducin. | [ |
| root, hypocotyl/smoke treatment | 2-day-old/2-day flood followed by 4-day recovery | Smoke enhanced soybean recovery from flooding via regulation of carbohydrate metabolism, glycolysis, and cell-wall components. | [ |
| 2-day-old/2 days | Smoke promoted root growth of flooded soybean via energy production, ROS scavenging, activated ornithine synthesis, and suppressed ubiquitin proteasome. | [ | |
| root, leaf/Al2O3-, ZnO-, Ag-NPs treatment | 7-day-old/3 days | Abundance of proteins involved in oxidation-reduction, stress signaling, and hormone pathway was principal for optimum growth of soybean under flooding in presence of Ag-NPs compared with Al2O3- and ZnO-NPs. | [ |
| root, hypocotyl/Al2O3-NPs treatment | 2-day-old/1, 2, 3, 4 days | Al2O3-NPs facilitated soybean acclimation to flooding via limited cell death, activated aerobic pathway, and ascorbate glutathione pathway. | [ |
| 2-day-old/2-, 4-day flood followed by 2- and 4-day recovery | [ | ||
| root, cotyledon/Ag-NPs treatment | 2-day-old/2, 4 days | Under flooding, chemically synthesized Ag-NPs shifted fermentation to normal cellular process, while biosynthesized Ag-NPs enhanced protein degradation and ATP content. | [ |
| 2-day-old/2 days | Mixture of Ag-NPs, nicotinic acid, and KNO3 exerted positive effect on soybean growth under flooding through regulation of protein quality control of misfolded proteins in the ER. | [ |
ABA, abscisic acid; ADH, alcohol dehydrogenase; NPs, nanoparticles; ROS, reactive oxygen species. Data have been collected from 2010 to 2020.
Figure 1Differences between response and tolerant mechanisms against flooding stress. Scheme of core cellular pathways between response and tolerance in root of early-stage soybean in response to flooding stress is summarized based on plant omics data collected from wild-type soybean and flood-tolerant materials. Triangle, box, and circle indicate gene, protein, and metabolite, respectively. Red and blue colors indicate up- and down-regulation of gene/protein/metabolite in flooded wild-type soybean compared with untreated plant, respectively. Orange and purple colors indicate up- and down-regulation of gene/protein/metabolite in flood-tolerant materials compared with wild-type soybean under flooding, respectively. Gene, protein, and metabolite in black color mean the alteration induced by flooding stress is not clear. Green and blue colors indicate activation and suppression of metabolism in flood-tolerant materials compared with wild-type soybean under flooding. Abbreviations: 1,3BPG, glycerate 1,3-bisphosphate; 2OG, 2-oxoglutarate; 2PG, 2-phospho-glycerate; 3PG, 3-phospho-glycerate; ADH, alcohol dehydrogenate; Ala, alanine; Ans, anserine; Arg, arginine; Arg-Suc, arginino-succinate; Asp, aspartic acid; ATADA1, ATPase family AAA domain containing protein 1; Cit, citrulline; CNX, calnexin; CRT, calreticulin; eAP, eukaryotic aspartyl protease; FBP, fructose 1,6-bisphosphate; G, glucose; G1P, glucose 1-phosphate; G3P, glyceradehyde 3-phosphate; G6P, glucose 6-phosphate; GA3PDH, glyceraldehyde 3-phosphate dehydrogenase; GABA, gamma-aminobutyric acid; Gln, glutamine; Glu, glutamic acid; GR-RBP3, glycine-rich RNA-binding protein 3; HK, hexokinase; ICA, isocitrate; M, mannose; NAC, nascent polypeptide-associated complex; OAA, oxaloacetate; Orn, ornithine; PGIP1, polygalacturonase-inhibiting protein 1; PDC, pyruvate decarboxylase; PEP, phosphoenopyruvate; PFK, phosphofructokinase; SSA, succinate semialdehyde; Suc-CoA, succinyl-coenzyme A.
Figure 2Overview of plant omics findings in response to flooding in soybean. Quantitative trait loci (QTLs), genes, proteins, and metabolites that are related to flooding stress were identified through genomics, transcriptomics, proteomics, and metabolomics, respectively. Soybean Proteome Database was constructed by bioinformatic analysis of omics data. Integration of soybean omics highlighted core set of flooding metabolisms in soybean.
Figure 3Interaction from QTL analysis and plant omics for flooding tolerance in soybean. QTLs associated with flooding tolerance in seed and at early vegetative growth stages are presented. Flood-tolerant indicators employed in phenotypic evaluation for QTL analysis are indicated. Flood-tolerant candidates were collected from transcriptomic and proteomic studies of soybean, including alcohol dehydrogenase 2, ATPase family AAA domain-containing protein 1, calnexin, calreticulin, chaperone 20, cytochrome P450 77A1-like, enolase, expansin-like proteins, eukaryotic aspartyl protease, glucose-6-phosphate isomerase 1, glyceraldehyde 3-phosphate dehydrogenase, glycine-rich RNA-binding protein 3, hexokinase, matrix metalloproteinase, nascent polypeptide-associated complex, and phosphofructokinase. Blue background indicates flooding stress.