Lipid remodeling is crucial for hypoxic tolerance in animals, whilst little is known about the hypoxia-induced lipid dynamics in plants. Here we performed a mass spectrometry-based analysis to survey the lipid profiles of Arabidopsis rosettes under various hypoxic conditions. We observed that hypoxia caused a significant increase in total amounts of phosphatidylserine, phosphatidic acid and oxidized lipids, but a decrease in phosphatidylcholine (PC) and phosphatidylethanolamine (PE). Particularly, significant gains in the polyunsaturated species of PC, PE and phosphatidylinositol, and losses in their saturated and mono-unsaturated species were evident during hypoxia. Moreover, hypoxia led to a remarkable elevation of ceramides and hydroxyceramides. Disruption of ceramide synthases LOH1, LOH2 and LOH3 enhanced plant sensitivity to dark submergence, but displayed more resistance to submergence under light than wild type. Consistently, levels of unsaturated very-long-chain (VLC) ceramide species (22:1, 24:1 and 26:1) predominantly declined in the loh1, loh2 and loh3 mutants under dark submergence. In contrast, significant reduction of VLC ceramides in the loh1-1 loh3-1 knockdown double mutant and lacking of VLC unsaturated ceramides in the ads2 mutants impaired plant tolerance to both dark and light submergences. Evidence that C24:1-ceramide interacted with recombinant CTR1 protein and inhibited its kinase activity in vitro, enhanced ER-to-nucleus translocation of EIN2-GFP and stabilization of EIN3-GFP in vivo, suggests a role of ceramides in modulating CTR1-mediated ethylene signaling. The dark submergence-sensitive phenotypes of loh mutants were rescued by a ctr1-1 mutation. Thus, our findings demonstrate that unsaturation of VLC ceramides is a protective strategy for hypoxic tolerance in Arabidopsis.

Bioaccumulation of arsenic (As) in rice (Oryza sativa) increases human exposure to this toxic, carcinogenic element. Recent studies identified several As transporters, but the regulation of these transporters remains unclear. Here, we show that the rice R2R3 MYB transcription factor OsARM1 (ARSENITE-RESPONSIVE MYB1) regulates As-associated transporters genes. Treatment with As(III) induced OsARM1 transcript accumulation and an OsARM1-GFP fusion localized to the nucleus. Histochemical analysis of OsARM1pro::GUS lines indicated that OsARM1 was expressed in the phloem of vascular bundles in basal and upper nodes. Knockout of OsARM1 (OsARM1-KO CRISPR/Cas9-generated mutants) improved tolerance to As(III) and overexpression of OsARM1 (OsARM1-OE lines) increased sensitivity to As(III). Measurement of As in As(III)-treated plants showed that under low As(III) conditions (2 μM), more As was transported from the roots to the shoots in OsARM1-KOs. By contrast, more As accumulated in the roots in OsARM1-OEs in response to high As(III) exposure (25 μM). In particular, the As(III) levels in node I were significantly higher in OsARM1-KOs, but significantly lower in OsARM1-OEs, compared to wild-type plants, implying that OsARM1 is important for the regulation of root-to-shoot translocation of As. Moreover, OsLsi1, OsLsi2, and OsLsi6, which encode key As transporters, were significantly downregulated in OsARM1-OEs and upregulated in OsARM1-KOs compared to wild type. Chromatin immunoprecipitation-quantitative PCR of OsARM1-OEs indicated that OsARM1 binds to the conserved MYB-binding sites in the promoters or genomic regions of OsLsi1, OsLsi2, and OsLsi6 in rice. Our findings suggest that the OsARM1 transcription factor has essential functions in regulating As uptake and root-to-shoot translocation in rice.

In Arabidopsis, three lipase-like regulators, SAG101, EDS1, and PAD4, act downstream of resistance protein-associated defense signaling. Although the roles of SAG101, EDS1, and PAD4 in biotic stress have been extensively studied, little is known about their functions in plant responses to abiotic stresses. Here, we show that SAG101, EDS1, and PAD4 are involved in the regulation of freezing tolerance in Arabidopsis. With or without cold acclimation, the sag101, eds1, and pad4 single mutants, as well as their double mutants exhibited similarly enhanced tolerance to freezing temperatures. Upon cold exposure, the sag101, eds1, and pad4 mutants showed increased transcript levels of C-REPEAT/DRE BINDING FACTORs and their regulons, compared with wild type. Moreover, freezing-induced cell death and accumulation of hydrogen peroxide were ameliorated in sag101, eds1, and pad4 mutants. The sag101, eds1, and pad4 mutants had much lower salicylic acid (SA) and diacylglycerol (DAG) contents than wild type and exogenous application of SA and DAG compromised the freezing tolerance of the mutants. Furthermore, SA suppressed the cold-induced expression of DGATs and DGKs in wild-type leaves. These findings indicate that SAG101, EDS1, and PAD4 are involved in freezing response in Arabidopsis, at least in part, by modulating the homeostasis of SA and DAG.

Using RNA sequencing and qualitative and quantitative proteomics, we unravel alternative spliced isoforms and new ‘frame’ proteins during hypoxic germination in rice.

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Background Rheumatoid arthritis (RA) is a type of systemic immune disease characterized by chronic inflammatory disease of the joints. However, the etiology and underlying molecular events of RA are unclear. Here, we applied bioinformatics analysis to identify the potential biomarkers involved in RA. Methods The three microarray datasets (GSE1919、GSE10500 and GSE55457) were downloaded from the Gene Expression Omnibus (GEO) database. We used the R software screen the differentially expressed genes (DEGs). These DEGs shared by the three microarray datasets were further identified. Next, we carried out functional enrichment analysis using the Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG). Then, the hub genes with a relatively high number of connections to other DEGs, were identified by Cytoscape. Other bioinformatics methods are also performed, including protein–protein interaction (PPI) network analysis and construction of miRNA–hub gene networks and transcription factors (TF)–hub gene networks. Results A total of 115 overlapping DEGs were identified in this study. Subsequently, we constructed a PPI network encoded by these DEGs and identified 10 genes closely associated with RA – LCK, GZMA, GZMB, CD2, LAG3, IL-15, TNFRSF4, CD247, CCR5, and CCR7. Furthermore, in the miRNA–hub gene networks, we screened out has-miR-146a-5p, which is the miRNA controlling the largest number of hub genes. Finally, we found some transcription factors that closely interact with hub genes, such as FOXC1, GATA2, YY1, RUNX2, SREBF1, CEBPB, and NFIC. Conclusions In summary, bioinformatics analyses were used to identify DEGs to find potential biomarkers that may be associated with RA. This study successfully predicted that LCK, FOXC1 and has-mir-146a-5p can be used as potential biomarkers of RA. Our study may have potential implications for future prediction of disease progression in symptomatic RA patients, and has important significance for the pathogenesis and targeted therapy of RA.