Engineering of the cytosolic form of phosphoglucose isomerase into chloroplasts improves plant photosynthesis and biomass

Functional Genome Analyses Reveal the Molecular Basis of Oil Accumulation in Developing Seeds of Castor Beans

Castor (Ricinus communis L.) seeds produce abundant ricinoleic acid during seed maturation, which is important for plant development and human demands. Ricinoleic acid, as a unique hydroxy fatty acid (HFA), possesses a distinct bond structure that could be used as a substitute for fossil fuels. Here, we identified all homologous genes related to glycolysis, hydroxy fatty acid biosynthesis, and triacylglycerol (TAG) accumulation in castor seeds. Furthermore, we investigated their expression patterns globally during five seed development stages. We characterized a total of 66 genes involved in the glycolysis pathway, with the majority exhibiting higher expression levels during the early stage of castor bean seed development. This metabolic process provided abundant acetyl-CoA for fatty acid (FA) biosynthesis. Subsequently, we identified 82 genes involved in the processes of de novo FA biosynthesis and TAG assembly, with the majority exhibiting high expression levels during the middle or late stages. In addition, we examined the expression patterns of the transcription factors involved in carbohydrate and oil metabolism. For instance, RcMYB73 and RcERF72 exhibited high expression levels during the early stage, whereas RcWRI1, RcABI3, and RcbZIP67 showed relatively higher expression levels during the middle and late stages, indicating their crucial roles in seed development and oil accumulation. Our study suggests that the high HFA production in castor seeds is attributed to the interaction of multiple genes from sugar transportation to lipid droplet packaging. Therefore, this research comprehensively characterizes all the genes related to glycolysis, fatty acid biosynthesis, and triacylglycerol (TAG) accumulation in the castor and provides novel insight into exploring the genetic mechanisms underlying seed oil accumulation in the endosperm of castor beans.

CysQuant: Simultaneous quantification of cysteine oxidation and protein abundance using data dependent or independent acquisition mass spectrometry

Protein cysteinyl thiols are susceptible to reduction-oxidation reactions that can influence protein function. Accurate quantification of cysteine oxidation is therefore crucial for decoding protein redox regulation. Here, we present CysQuant, a novel approach for simultaneous quantification of cysteine oxidation degrees and protein abundancies. CysQuant involves light/heavy iodoacetamide isotopologues for differential labeling of reduced and reversibly oxidized cysteines analyzed by data-dependent acquisition (DDA) or data-independent acquisition mass spectrometry (DIA-MS). Using plexDIA with in silico predicted spectral libraries, we quantified an average of 18% cysteine oxidation in Arabidopsis thaliana by DIA-MS, including a subset of highly oxidized cysteines forming disulfide bridges in AlphaFold2 predicted structures. Applying CysQuant to Arabidopsis seedlings exposed to excessive light, we successfully quantified the well-established increased reduction of Calvin-Benson cycle enzymes and discovered yet uncharacterized redox-sensitive disulfides in chloroplastic enzymes. Overall, CysQuant is a highly versatile tool for assessing the cysteine modification status that can be widely applied across various mass spectrometry platforms and organisms.

Cytosolic phosphoglucose isomerase is essential for microsporogenesis and embryogenesis in Arabidopsis

Phosphoglucose isomerase (PGI) catalyzes the interconversion of fructose-6-phosphate and glucose-6-phosphate, which impacts cell carbon metabolic flow. Arabidopsis (Arabidopsis thaliana) contains two nuclear PGI genes respectively encoding plastidial PGI1 and cytosolic PGI (cPGI). The loss of PGI1 impairs the conversion of F6P of the Calvin-Benson cycle to G6P for the synthesis of transitory starch in leaf chloroplasts. Since cpgi knockout mutants have not yet been obtained, they are thought to be lethal. The cpgi lethality can be rescued by expressing CaMV 35S promoter (p35S)-driven cPGI; however, the complemented line is completely sterile due to pollen degeneration. Here, we generated a cpgi mutant expressing p35S::cPGI-YFP in which YFP fluorescence in developing anthers was undetectable specifically in the tapetum and in pollen, which could be associated with male sterility. We also generated RNAi-cPGI knockdown lines with strong cPGI repression in floral buds that exhibited reduced male fertility due to the degeneration of most pollen. Histological analyses indicated that the synthesis of intersporal callose walls was impaired, causing microsporocytes to fail to separate haploid daughter nuclei to form tetrads, which might be responsible for subsequent pollen degeneration. We successfully isolated cpgi knockout mutants in the progeny of a heterozygous cpgi mutant floral-dipped with sugar solutions. The rescued cpgi mutants exhibited diminished young vegetative growth, reduced female fertility, and impaired intersporal callose wall formation in a meiocyte, and, thus, male sterility. Collectively, our data suggest that cPGI plays a vital role in carbohydrate partitioning, which is indispensable for microsporogenesis and early embryogenesis.

Role of glycerophosphodiester phosphodiesterase in rice leaf blades in elevated CO2 environments

Glycerophosphodiester phosphodiesterase (GDPD; EC 3.1.4.46) is involved in plant phosphate (Pi) utilization and its expression is upregulated under phosphorus (P)-deficient conditions. Although rice was grown under P-sufficient conditions, the transcript levels of specific OsGDPD were upregulated in mature rice leaf blades (LB) in elevated CO₂ (eCO₂ ) environments. Expression and subcellular localization of GDPD, and contents of Pi, sugar phosphates and carbohydrates were analysed to clarify the physiological function of GDPD in rice under eCO₂ . Under eCO₂ , expression of specific OsGDPD increased only in mature rice LB in which low Pi concentrations were observed. Moreover, eCO₂ -induced OsGDPD2 and OsGDPD3 were localized in the plastid, indicating that GDPD2 and GDPD3 may be related to plastidic functions, such as carbon assimilation. Although rice LB contained more carbohydrates under eCO₂ than under ambient CO₂ , the phosphoglucose content decreased under eCO₂ , suggesting that the need for excess phosphoglucose to synthesize carbohydrates under eCO₂ causes a local Pi deficiency. Furthermore, we confirmed that glycerol-3-phosphate produced by the catalysis of GDPD from glycerophosphodiester contributes to carbohydrate accumulation in rice LB. Our findings suggest that local Pi deficiency due to excess carbohydrate accumulation under eCO₂ influences GDPD to enhance glycerophosphodiester hydrolysis.

Proteomics data analysis using multiple statistical approaches identified proteins and metabolic networks associated with sucrose accumulation in sugarcane

Background

Sugarcane is the most important sugar crop, contributing > 80% of global sugar production. High sucrose content is a key target of sugarcane breeding, yet sucrose improvement in sugarcane remains extremely slow for decades. Molecular breeding has the potential to break through the genetic bottleneck of sucrose improvement. Dissecting the molecular mechanism(s) and identifying the key genetic elements controlling sucrose accumulation will accelerate sucrose improvement by molecular breeding. In our previous work, a proteomics dataset based on 12 independent samples from high- and low-sugar genotypes treated with ethephon or water was established. However, in that study, employing conventional analysis, only 25 proteins involved in sugar metabolism were identified .

Results

In this work, the proteomics dataset used in our previous study was reanalyzed by three different statistical approaches, which include a logistic marginal regression, a penalized multiple logistic regression named Elastic net, as well as a Bayesian multiple logistic regression method named Stochastic search variable selection (SSVS) to identify more sugar metabolism-associated proteins. A total of 507 differentially abundant proteins (DAPs) were identified from this dataset, with 5 of them were validated by western blot. Among the DAPs, 49 proteins were found to participate in sugar metabolism-related processes including photosynthesis, carbon fixation as well as carbon, amino sugar, nucleotide sugar, starch and sucrose metabolism. Based on our studies, a putative network of key proteins regulating sucrose accumulation in sugarcane is proposed, with glucose-6-phosphate isomerase, 2-phospho-D-glycerate hydrolyase, malate dehydrogenase and phospho-glycerate kinase, as hub proteins.

Conclusions

The sugar metabolism-related proteins identified in this work are potential candidates for sucrose improvement by molecular breeding. Further, this work provides an alternative solution for omics data processing.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12864-022-08768-2.