| Literature DB >> 35008962 |
Yu Gao1,2,3, Baohua Feng2, Caixia Gao1,3, Huiquan Zhang1,2,3, Fengting Wen1,3, Longxing Tao2, Guanfu Fu2, Jie Xiong1,3.
Abstract
MicroRNA408 (miR408) is an ancient and highly conserved miRNA, which is involved in the regulation of plant growth, development and stress response. However, previous research results on the evolution and functional roles of miR408 and its targets are relatively scattered, and there is a lack of a systematic comparison and comprehensive summary of the detailed evolutionary pathways and regulatory mechanisms of miR408 and its targets in plants. Here, we analyzed the evolutionary pathway of miR408 in plants, and summarized the functions of miR408 and its targets in regulating plant growth and development and plant responses to various abiotic and biotic stresses. The evolutionary analysis shows that miR408 is an ancient and highly conserved microRNA, which is widely distributed in different plants. miR408 regulates the growth and development of different plants by down-regulating its targets, encoding blue copper (Cu) proteins, and by transporting Cu to plastocyanin (PC), which affects photosynthesis and ultimately promotes grain yield. In addition, miR408 improves tolerance to stress by down-regulating target genes and enhancing cellular antioxidants, thereby increasing the antioxidant capacity of plants. This review expands and promotes an in-depth understanding of the evolutionary and regulatory roles of miR408 and its targets in plants.Entities:
Keywords: evolution; miR408; plant development; stress response; yield
Mesh:
Substances:
Year: 2022 PMID: 35008962 PMCID: PMC8745667 DOI: 10.3390/ijms23010530
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Phylogenetic relationships between all the 55 miR408 precursors (MIR408) from different plants. The colored branch shows the same family species. The dendrogram has been constructed using IQtree software by the Maximum-Likelihood method with 5000 bootstraps. According to IQ-Tree model evaluation, the best fitting model of the miR408 precursor sequence is TVMe+I+G4, and the best model of the miR408 mature sequence is JC. The Bryophyta Physcomitrella patens is the root of the evolutionary tree. aly, Arabidopsis lyrata; aqc, Aquilegia caerulea; ata, Aegilops tauschii; ath, Arabidopsis thaliana; ahy, Arachis hypogaea; bdi, Brachypodium distachyon; bra, Brassica rapa; cca, Cynara cardunculus; cme, Cucumis melo; cpa, Carica papaya; csi, Citrus sinensis; dpr, Digitalis purpurea; gma, Glycine max; hbr, Hevea brasiliensis; lja, Lotus japonicus; lus, Linum usitatissimum; mdm, Malus domestica; mes, Manihot esculenta; mtr, Medicago truncatula; nta, Nicotiana tabacum; osa, Oryza sativa; pta, Pinus taeda; ptc, Populus trichocarpa; ppt, Physcomitrella patens; rco, Ricinus communis; sbi, Sorghum bicolor; sof, Saccharum officinarum; stu, Solanum tuberosum; smo, Selaginella moellendorffii; tae, Triticum aestivum; vvi, Vitis vinifera; vun, Vigna unguiculata; zma, Zea mays; ssp, Saccharum ssp; vca, Vriesea carinata; sly, Solanum lycopersicum; fve, Fragaria vesca; pab, Picea abies; cas, Camelina sativa; aof, Asparagus officinalis.
Figure 2Phylogenetic relationships between all 72 mature miR408 sequences (miR408) from different plants. The yellow circle and blue square represent the miR408 members formed from the 3p arm and the 5p arm, respectively. The dendrogram is constructed using IQtree software through the Maximum-Likelihood method using 5000 bootstraps. According to IQ-Tree model evaluation, the best fitting model of the miR408 mature sequence is JC. The bryophyta Physcomitrella patens is the root of the evolutionary tree.
Figure 3The function of miR408-regulated target genes in plants. Yellow, target genes; green, functions of the target genes.
Figure 4The roles of miR408 and its targets in plant development. miR408 (highlighted in light pink); target genes (highlighted in green); agronomic traits (highlighted in yellow). The arrow and nail shapes indicate positive or negative regulation, respectively. LAC, laccase; PLC, plantacyanin; UCL8, Uclacyanin-like protein 8; PC, plastocyanin; VB1, Vitamin B1.
Roles of miR408 and its targets in abiotic and biotic stress in plants.
| Stresses | Species | miRNA | Target Genes | References |
|---|---|---|---|---|
|
| ||||
| Mild drought |
|
| Plastocyanin, | [ |
| Copper ion | ||||
| binding protein | ||||
|
|
| No | ||
| Severe drought |
|
| Plantacyanin | |
|
|
| No | ||
|
|
| No | ||
| Drought |
|
| No | [ |
| ( | ||||
|
|
| No | ||
| ( | ||||
|
|
| No | [ | |
|
| ||||
|
| ||||
|
|
| No | ||
|
| ||||
|
| ||||
|
|
| Plantacyanin, | [ | |
| plastocyanin-like | ||||
| domain, | ||||
| containing | ||||
| proteins | ||||
|
|
| No | ||
| ( | ||||
|
|
| No | [ | |
|
| ||||
|
| No | |||
|
| ||||
|
|
| No | [ | |
|
| ||||
|
|
| No | ||
|
| ||||
|
|
| No | [ | |
|
|
| [ | ||
|
|
| Cupredoxin | [ | |
| Plantacyanin | ||||
| LAC3 | ||||
|
|
| No | [ | |
| Water |
|
| Plantacyanin | [ |
| deficit |
| |||
|
|
| |||
| ( | ||||
|
|
| P1B-ATPase | [ | |
|
|
| Plantacyanin | [ | |
| Dehydration |
|
| Plantacyanin | [ |
| Salinity |
|
| DSHCT | [ |
| Plastocyanin-like | ||||
|
|
| No | [ | |
|
|
| Cupredoxin | [ | |
| Plantacyanin | ||||
| Uclacyanin | ||||
| LAC3 | ||||
| Cold |
| Cupredoxin | ||
| Plantacyanin | ||||
| Uclacyanin | ||||
| LAC3 | ||||
| Osmotic |
| Cupredoxin | ||
| Plantacyanin | ||||
| Uclacyanin | ||||
| LAC3 | ||||
| Oxidative |
| Cupredoxin | ||
| Plantacyanin | ||||
| Uclacyanin | ||||
| LAC3 | ||||
| Low dose |
|
| DSHCT | [ |
| rate γ-ray | ||||
| High dose |
| |||
| rate γ-ray | ||||
|
| ||||
|
|
| Cupredoxin | [ | |
| Nitrogen | SOD1A | |||
| deficiency |
|
| Laccase | [ |
| Plantacyanin | ||||
| Carbon, nitrogen, |
| LAC3 | [ | |
| and sulfur | LAC13 | |||
| deficiency | ||||
| Copper deficiency |
| LAC3 | [ | |
| LAC12 | ||||
| LAC13 | ||||
| Plantacyanin | ||||
| Iron deficiency |
| LAC3 | [ | |
| LAC12 | ||||
| LAC13 | ||||
| Plantacyanin | ||||
| Boron deficiency |
| Plantacyanin | [ | |
| LAC3 | ||||
| LAC13 | ||||
| Cu/Zn SODs | ||||
| (CSDs) | ||||
| Excess fertilizer |
|
| No | [ |
| Phosphorus deficiency |
|
| No | [ |
|
|
| No | [ | |
|
|
| No | [ | |
| Zinc deficiency |
|
| Plantacyanin | [ |
| Potassium |
|
| No | [ |
| deficiency | ||||
|
| ||||
|
|
|
| Chemocyanin-like protein | [ |
|
| ||||
|
|
| bZIP, ERF, | [ | |
| MYB, SnRK1 | ||||
| and HSPs | ||||
| Arsenate and |
|
| No | [ |
| arsenite | ||||
| Manganese |
|
| No | [ |
|
|
|
| Plantacyanin | [ |
| Puccinia graminis | ||||
| f.sp. tritici | ||||
| Rhizoctonia solani |
|
| No | [ |
| Lipopolysaccharide |
|
| Plantacyanin | [ |
Green: increased miR408 abundance; red: decreased miR408 abundance. DSHCT, DOB1/SK12/helY-like DEAD-box Helicase; LAC, laccase.
Modified expression of plant miR408 and its targets in response to abiotic and biotic stress.
| Stresses | Species | Approach | Phenotype | References |
|---|---|---|---|---|
| Cold |
| More tolerant to cold tolerant, | [ | |
| Lower electrolyte leakage, | ||||
| Higher Fv/Fm value, | ||||
| Lower MDA, | ||||
| Higher chlorophyll | ||||
| T-DNA | Enhanced cold sensitivity, | |||
| Enhanced electrolyte leakage, | ||||
| Lower Fv/Fmvalue, | ||||
| MDA were elevated, | ||||
|
| Lower chlorophyll | [ | ||
| longer shoots and roots, | ||||
| Lower ion leakage, | ||||
| Enhanced SOD activity, | ||||
| Enhanced proline content | ||||
| Salinity |
| Root development was better, | [ | |
| Lower ROS | ||||
| T-DNA | Inhibited root development, | |||
| Enhanced ROS | ||||
|
| TaCLP1 overexpression | In yeast enhances cell tolerance | [ | |
|
| Improved root growth, | [ | ||
| Significantly higher fresh weights, | ||||
| Higher germination rates, | ||||
| Lower growth inhibition, | ||||
| Reduced ROS Accumulation, | ||||
| Lower accumulations of H2O2, | ||||
| Higher POD, SOD, CAT activities, | ||||
| Lower levels of O2−and H2O2 | ||||
| Oxidative |
| More tolerant to oxidative stress, | [ | |
| Higher biomass, | ||||
| Higher total root length, | ||||
| Increased CSD1, CSD2, | ||||
| CCS1, GST-2U25 and SAP12 | ||||
| T-DNA | Lower total root length, | |||
| CSD1, CSD2, CCS1, | ||||
| GST-U25 and SAP12 reduced | ||||
| Drought |
| Retarded growth, | [ | |
| Lower FW, | ||||
| Death rate higher | ||||
| T-DNA miR408 mutant | Grew better, | |||
| Higher height, | ||||
| Death rate lower | ||||
|
| High stress tolerance, | [ | ||
| Lower height, | ||||
| Increasing number of leaves, | ||||
| BHLH23 down-regulated, | ||||
| ERF/AP reduced expression, | ||||
| DREB2A/1A genes were increased, | ||||
| Rd17 and Rd29a were increased, | ||||
| Rd22 up-regulated | ||||
|
| Narrower leaves of similar length, | [ | ||
| Less vein number, | ||||
| More closely folded leaves, | ||||
| Greener, | ||||
| Higher chlorophyll, | ||||
| More bristle-like trichomes on the | ||||
| leaf surface, | ||||
| Relatively smaller and more sunken | ||||
| stomata, | ||||
| Lower stomatal conductance, | ||||
| Less tissue damage, | ||||
| Higher leaf RWC, | ||||
| Lower water loss rate, | ||||
| Higher leaf electrolyte leakage (EL), | ||||
| Higher activities of SOD, CAT and | ||||
| POD, | ||||
| Lower accumulation of H2O2 and | ||||
| MDA | ||||
| Osmotic |
| Retarded growth, | [ | |
| Lower FW | ||||
| T-DNA | Grow better, | |||
| Higher height | ||||
| Copper deficiency |
| TaCLP1 overexpression | Higher tolerance to copper deficiency | [ |
| Iron deficiency |
| T-DNA | Lower chlorophyll-a content, | [ |
| Lower lignin content, | ||||
| plantacyanin ( | ||||
| Lower lignification-related genes (F6’H1’, CCR1, B-GLU23, LAC17), | ||||
| Lower | ||||
| Higher phenoloxidase activity, | ||||
| Higher H2O2 levels, | ||||
| Lower | ||||
| Lower chlorophyll-a content, | ||||
| Lower lignin content, | ||||
| lignification-related genes (F6’H1’, | ||||
| B-GLU23, LAC17) significantly | ||||
| increased, | ||||
| Lower | ||||
| Lower H2O2 levels, | ||||
| lower | ||||
| Wild type | Higher Copper levels, | |||
| Lower FRO2, FRO3, IRT1, COPT2, | ||||
| Lower phenoloxidase activity, | ||||
| Lower ferroxidase activity, | ||||
| Higher H2O2 levels, | ||||
| Higher lignin staining of vascular | ||||
| cylinder, | ||||
| Lignification of the vascular bundles | ||||
| was more evident in the aerial part | ||||
| Puccinia striiformis f. sp. tritici |
| RNAi TaCLP1 mutant | Decreased stripe rust resistance | [ |
|
|
The same color symbol represents the same abiotic or biotic stress. MDA, malondialdehyde; ROS, Redox and reactive oxygen species; POD, peroxidase; SOD, superoxide dismutase; CAT, catalase; SODs, Cu/Zn superoxide dismutase CSD1 and CSD2; CCS1, copper chaperone; GST-U25, glutathione-S-transferase; SAP12, stress-associated regulatory protein fresh weight; BHLH23, transcription factor; ERF/AP2, Aptela2/Ethylene Response Factors; DREB, Dehydration-Responsive Element Binding Protein; bHLH39 and FIT transcriptional activators; MCO3, ascorbate oxidase; CAT2, catalase; FRO2, Ferric Reductase 2; IRT1, Iron Regulated Transporter 1.
Figure 5The potential regulatory mechanism model of miR408 and its targets in plant tolerance to drought stress. In brief, drought stress decreases internal copper (Cu) levels by inhibiting the expression of Cu transporters. Then a lower concentration of Cu activates the expression of SQUAMOSA promoter binding protein (SBP)-like 9 (SPL9) and then up-regulates miR408. a, miR408 targets several Cu containing proteins. These targets include several member proteins containing plantacyanins/plastocyanin-like domains. miR408 down-regulates target genes, saves Cu for plastocyanin, and maintains a stable plastocyanin level, thereby increasing reactive oxygen species (ROS). At the same time, high concentrations of ROS promote stomata closure, thereby enhancing drought tolerance [75]. b, miR408 leads to higher activities of superoxide dismutase (SOD), catalase (CAT) and peroxidase (POD), and leads to lower hydrogen peroxide (H2O2) and malondialdehyde (MDA). c, miR408 down-regulates the target gene PLC and then increases Cu accumulation. Then the DREB level is increased when there is excess Cu. Subsequently, the target gene RD29B of DREB2A is down-regulated. The target genes of DREB1A and DREB2A, RD1 7and RD29A are up-regulated. All these results confirm that DREB1A and DREB2A transcription factors and their target genes RD17and RD29 provide plants with tolerance for survival under drought stress. Dark blue: transcription factors; yellow: miR408 target genes.