Lynne Whitehead

A cytosolic acyltransferase contributes to triacylglycerol synthesis in sucrose-rescued Arabidopsis seed oil catabolism mutants

Triacylglycerol (TAG) levels and oil bodies persist in sucrose (Suc)-rescued Arabidopsis (Arabidopsis thaliana) seedlings disrupted in seed oil catabolism. This study set out to establish if TAG levels persist as a metabolically inert pool when downstream catabolism is disrupted, or if other mechanisms, such as fatty acid (FA) recycling into TAG are operating. We show that TAG composition changes significantly in Suc-rescued seedlings compared with that found in dry seeds, with 18:2 and 18:3 accumulating. However, 20:1 FA is not efficiently recycled back into TAG in young seedlings, instead partitioning into the membrane lipid fraction and diacylglycerol. In the lipolysis mutant sugar dependent1and the β-oxidation double mutant acx1acx2 (for acyl-Coenzyme A oxidase), levels of TAG actually increased in seedlings growing on Suc. We performed a transcriptomic study and identified up-regulation of an acyltransferase gene, DIACYLGLYCEROL ACYLTRANSFERASE3 (DGAT3), with homology to a peanut (Arachis hypogaea) cytosolic acyltransferase. The acyl-Coenzyme A substrate for this acyltransferase accumulates in mutants that are blocked in oil breakdown postlipolysis. Transient expression in Nicotiana benthamiana confirmed involvement in TAG synthesis and specificity toward 18:3 and 18:2 FAs. Double-mutant analysis with the peroxisomal ATP-binding cassette transporter mutant peroxisomal ABC transporter1 indicated involvement of DGAT3 in the partitioning of 18:3 into TAG in mutant seedlings growing on Suc. Fusion of the DGAT3 protein with green fluorescent protein confirmed localization to the cytosol of N. benthamiana. This work has demonstrated active recycling of 18:2 and 18:3 FAs into TAG when seed oil breakdown is blocked in a process involving a soluble cytosolic acyltransferase.

Localization of H(+)-ATPases in soybean root nodules.

Abstract. The localization of H+-ATPases in soybean (Glycine max L. cv. Stevens) nodules was investigated using antibodies against both P-type and V-type enzymes. Immunoblots of peribacteroid membrane (PBM) proteins using antibodies against tobacco and Arabidopsis H+-ATPases detected a single immunoreactive band at approximately 100 kDa. These antibodies recognized a protein of similar relative molecular mass in the crude microsomal fraction from soybean nodules and uninoculated roots. The amount of this protein was greater in PBM from mature nodules than in younger nodules. Immunolocalization of P-type ATPases using silver enhancement of colloidal-gold labelling at the light-microscopy level showed signal distributed around the periphery of non-infected cells in both the nodule cortex and nodule parenchyma. In the central nitrogen-fixing zone of the nodule, staining was present in both the infected and uninfected cells. Examination of nodule sections using confocal microscopy and fluorescence staining showed an immunofluorescent signal clearly visible around the periphery of individual symbiosomes which appeared as vesicles distributed throughout the infected cells of the central zone. Electron-microscopic examination of immunogold-labelled sections shows that P-type ATPase antigens were present on the PBM of both newly formed, single-bacteroid symbiosomes just released from infection threads, and on the PBM of mature symbiosomes containing two to four bacteroids. Immunogold labelling using antibody against the B-subunit of V-type ATPase from oat failed to detect this protein on symbiosome membranes. Only a very faint signal with this antibody was detected on Western blots of purified PBM. During nodule development, fusion of small symbiosomes to form larger ones containing multiple bacteroids was observed. Fusion was preceded by the formation of cone-like extensions of the PBM, allowing the membrane to make contact with the adjoining membrane of another symbiosome. We conclude that the major H+-ATPase on the PBM of soybean is a P-type enzyme with homology to other such enzymes in plants. In vivo, this enzyme is likely to play a critical role in the regulation of nutrient exchange between legume and bacteroids.

Cyanobacterial carboxysomes: microcompartments that facilitate CO2 fixation.

Carboxysomes are extraordinarily efficient proteinaceous microcompartments that encapsulate the primary CO2-fixing enzyme (ribulose-1,5-bisphosphate carboxylase/oxygenase, RuBisCO) in cyanobacteria and some proteobacteria. These microbodies form part of a CO2-concentrating mechanism (CCM), operating together with active CO2 and HCO3- uptake transporters which accumulate HCO3- in the cytoplasm of the cell. Cyanobacteria (also known as blue-green algae) are highly productive on a global scale, especially those species from open-ocean niches, which collectively contribute nearly 30% of global net primary fixation. This productivity would not be possible without a CCM which is dependent on carboxysomes. Two evolutionarily distinct forms of carboxysome are evident that encapsulate proteobacterial RuBisCO form-1A or higher-plant RuBisCO form- 1B, respectively. Based partly on RuBisCO phylogeny, the two carboxysome types are known either as α-carboxysomes, found in predominantly oceanic cyanobacteria (α-cyanobacteria) and some proteobacteria, or as β-carboxysomes, found mainly in freshwater/estuarine cyanobacteria (β-cyanobacteria). Both carboxysome types are believed to have evolved in parallel as a consequence of fluctuating atmospheric CO2 levels and evolutionary pressure acting via the poor enzymatic kinetics of RuBisCO. The three-dimensional structures and protein components of each carboxysome type reflect distinct evolutionarily strategies to the same major functions: subcellular compartmentalization and RuBisCO encapsulation, oxygen exclusion, and CO2 concentration and fixation.

Comparing the in Vivo Function of α-Carboxysomes and β-Carboxysomes in Two Model Cyanobacteria

Despite evolutionary and structural differences between carboxysomes, Rubisco kinetics and in vivo performance are similar. The carbon dioxide (CO2)-concentrating mechanism of cyanobacteria is characterized by the occurrence of Rubisco-containing microcompartments called carboxysomes within cells. The encapsulation of Rubisco allows for high-CO2 concentrations at the site of fixation, providing an advantage in low-CO2 environments. Cyanobacteria with Form-IA Rubisco contain α-carboxysomes, and cyanobacteria with Form-IB Rubisco contain β-carboxysomes. The two carboxysome types have arisen through convergent evolution, and α-cyanobacteria and β-cyanobacteria occupy different ecological niches. Here, we present, to our knowledge, the first direct comparison of the carboxysome function from α-cyanobacteria (Cyanobium spp. PCC7001) and β-cyanobacteria (Synechococcus spp. PCC7942) with similar inorganic carbon (Ci; as CO2 and HCO3−) transporter systems. Despite evolutionary and structural differences between α-carboxysomes and β-carboxysomes, we found that the two strains are remarkably similar in many physiological parameters, particularly the response of photosynthesis to light and external Ci and their modulation of internal ribulose-1,5-bisphosphate, phosphoglycerate, and Ci pools when grown under comparable conditions. In addition, the different Rubisco forms present in each carboxysome had almost identical kinetic parameters. The conclusions indicate that the possession of different carboxysome types does not significantly influence the physiological function of these species and that similar carboxysome function may be possessed by each carboxysome type. Interestingly, both carboxysome types showed a response to cytosolic Ci, which is of higher affinity than predicted by current models, being saturated by 5 to 15 mm Ci. This finding has bearing on the viability of transplanting functional carboxysomes into the C3 chloroplast.

The Coenzyme A Biosynthetic Enzyme Phosphopantetheine Adenylyltransferase Plays a Crucial Role in Plant Growth, Salt/Osmotic Stress Resistance, and Seed Lipid Storage

Coenzyme A (CoA) is an essential cofactor in the metabolism of both prokaryotic and eukaryotic organisms and a universal five-step pathway is utilized to synthesize CoA from pantothenate. Null mutations in two of the five steps of this pathway led to embryo lethality and therefore viable reduction-of-function mutations are required to further study its role in plant biology. In this article, we have characterized a viable Arabidopsis (Arabidopsis thaliana) T-DNA mutant affected in the penultimate step of the CoA biosynthesis pathway, which is catalyzed by the enzyme phosphopantetheine adenylyltransferase (PPAT). This ppat-1 knockdown mutation showed an approximately 90% reduction in PPAT transcript levels and was severely impaired in plant growth and seed production. The sum of CoA and acetyl-CoA levels was severely reduced (60%–80%) in ppat-1 seedlings compared to wild type, and catabolism of storage lipids during seedling establishment was delayed. Conversely, PPAT overexpressing lines showed, on average, approximately 1.6-fold higher levels of CoA + acetyl-CoA levels, as well as enhanced vegetative and reproductive growth and salt/osmotic stress resistance. Interestingly, dry seeds of overexpressing lines contained between 35% to 50% more fatty acids than wild type, which suggests that CoA biosynthesis plays a crucial role in storage oil accumulation. Finally, biochemical analysis of the recombinant PPAT enzyme revealed an inhibitory effect of CoA on PPAT activity. Taken together, these results suggest that the reaction catalyzed by PPAT is a regulatory step in the CoA biosynthetic pathway that plays a key role for plant growth, stress resistance, and seed lipid storage.

Cytoskeletal arrays in the cells of soybean root nodules: The role of actin microfilaments in the organisation of symbiosomes

SummaryWithin the infected cells of root nodules there is evidence of stratification and organisation of symbiosomes and other organelles. This organisation is likely to be important for the efficient exchange of nutrients and metabolites during functioning of the nodules. Using immunocytochemical labelling and confocal microscopy we have determined the organisation of cytoskeletal elements, micro tubules and actin microfilaments in soybean nodule cells, with a view to assessing their possible role in organelle distribution. Most microtubule arrays occurred in the cell cortex where they formed disorganised arrays in both uninfected and infected cells from mature nodules. In infected cells from developing nodules, parallel arrays of microtubules, transverse to the long axis of the cell, were observed. In incipient nodules, before release of rhizobia into the plant cells, the cells also had an array of microtubules which radiated from the nucleus into the cytoplasm. Three actin arrays were identified in the infected cells of mature nodules: an aster-like array which emanated from the surface of the nucleus, a cortical array which had an arrangement similar to that of the cortical microtubules, and, throughout the cytoplasm, an array of fine filaments which had a honeycomb arrangement consistent with a distribution between adjacent symbiosomes. Uninfected cells from mature nodules had only a random cortical array of actin filaments. In incipient nodules, the density of actin microfilaments associated with the nucleus and radiating through the cytoplasm was much less than that seen in mature infected cells. The cortical array of actin also differed, being composed of swirling configurations of filaments. After invasion of nodule cells by the rhizobia, the number of actin filaments emanating from the nucleus increased markedly and formed a network through the cytoplasm. Conversely, the cytoplasmic array in uninfected cells of developing nodules was identical to that in the cells of incipient nodules. The cytoplasmic network in infected cells of developing nodules is likely to be the precursor of the honeycomb array seen in mature nodule cells. We propose that this actin array plays a role in the spatial organisation of symbiosomes and that the microtubules are involved in the localisation of mitochondria and plastids at the cell periphery in the infected cells of root nodules.

Polyamines as potential regulators of nutrient exchange across the peribacteroid membrane in soybean root nodules

The effect of cytoplasmic polyamines on peribacteroid membrane transport processes in soybean (Glycine max L.) was investigated. The concentration of free polyamines in soybean nodule cytoplasm has been estimated by others to be in the micromolar range. The H+ -ATPase was inhibited by 37 and 54% by 200 µM spermidine and putrescine, respectively. Spermine applied to the cytoplasmic face of the peribacteroid membrane was found to inhibit both inward and outward currents through a non-selective cation channel permeable to ammonium (K d 2.1 µM at –100 mV). Malate transport into intact symbiosomes was reduced by 15–30% by 15 mM spermidine, cadaverine and putrescine. A non-specific stimulation of malate transport by polycations was found to occur at concentrations in the micromolar range. The results suggest that polyamines can affect all the peribacteroid membrane transport processes tested. In particular, we conclude that the combined inhibitory effects of polyamines on the ATPase and the ammonium channel have the potential to reduce nitrogen supply to the plant in vivo. The possibility of competing polyamine and ureide synthesis in the nodule is discussed.

Enhancement of Plant Metabolite Fingerprinting by Machine Learning

Metabolite fingerprinting of Arabidopsis (Arabidopsis thaliana) mutants with known or predicted metabolic lesions was performed by 1H-nuclear magnetic resonance, Fourier transform infrared, and flow injection electrospray-mass spectrometry. Fingerprinting enabled processing of five times more plants than conventional chromatographic profiling and was competitive for discriminating mutants, other than those affected in only low-abundance metabolites. Despite their rapidity and complexity, fingerprints yielded metabolomic insights (e.g. that effects of single lesions were usually not confined to individual pathways). Among fingerprint techniques, 1H-nuclear magnetic resonance discriminated the most mutant phenotypes from the wild type and Fourier transform infrared discriminated the fewest. To maximize information from fingerprints, data analysis was crucial. One-third of distinctive phenotypes might have been overlooked had data models been confined to principal component analysis score plots. Among several methods tested, machine learning (ML) algorithms, namely support vector machine or random forest (RF) classifiers, were unsurpassed for phenotype discrimination. Support vector machines were often the best performing classifiers, but RFs yielded some particularly informative measures. First, RFs estimated margins between mutant phenotypes, whose relations could then be visualized by Sammon mapping or hierarchical clustering. Second, RFs provided importance scores for the features within fingerprints that discriminated mutants. These scores correlated with analysis of variance F values (as did Kruskal-Wallis tests, true- and false-positive measures, mutual information, and the Relief feature selection algorithm). ML classifiers, as models trained on one data set to predict another, were ideal for focused metabolomic queries, such as the distinctiveness and consistency of mutant phenotypes. Accessible software for use of ML in plant physiology is highlighted.

Nitrogen and Carbon Exchange Across Symbiotic Membranes from Soybean Nodules.

Metabolites exchanged between plant and bacteroid in nitrogen fixing legume nodules must traverse two permeability barriers (the plant-derived peribacteroid membrane - PBM - and the bacteroid membranes) which have different polarities and which delineate three compartments of different pH (see Fig. 1). The ATPase on the PBM pumps protons into the peribacteroid space (PBS) leading to an electrical potential (ΔΨ) positive on the inside (Udvardi et al., 1991); the respiratory electron transport chain of the bacteroid also pumps protons into the PBS, creating a ΔΨ of the opposite polarity. Together, the PBM and bacteroid pumps ensure that the PBS is acidic relative to the plant and bacteroid cytoplasms (Fig. 1). These properties will influence the nature of ionic movements between the symbionts. Carriers and channels exist on the two sets of membranes which utilise the energetics of the systems to catalyse rapid transport of reduced carbon into, and fixed nitrogen out of, the bacteroid. This paper reviews our current knowledge of these transporters in Bradyrhizobium-legame symbioses.

PhenoMeter: A Metabolome Database Search Tool Using Statistical Similarity Matching of Metabolic Phenotypes for High-Confidence Detection of Functional Links

This article describes PhenoMeter (PM), a new type of metabolomics database search that accepts metabolite response patterns as queries and searches the MetaPhen database of reference patterns for responses that are statistically significantly similar or inverse for the purposes of detecting functional links. To identify a similarity measure that would detect functional links as reliably as possible, we compared the performance of four statistics in correctly top-matching metabolic phenotypes of Arabidopsis thaliana metabolism mutants affected in different steps of the photorespiration metabolic pathway to reference phenotypes of mutants affected in the same enzymes by independent mutations. The best performing statistic, the PM score, was a function of both Pearson correlation and Fisher’s Exact Test of directional overlap. This statistic outperformed Pearson correlation, biweight midcorrelation and Fisher’s Exact Test used alone. To demonstrate general applicability, we show that the PM reliably retrieved the most closely functionally linked response in the database when queried with responses to a wide variety of environmental and genetic perturbations. Attempts to match metabolic phenotypes between independent studies were met with varying success and possible reasons for this are discussed. Overall, our results suggest that integration of pattern-based search tools into metabolomics databases will aid functional annotation of newly recorded metabolic phenotypes analogously to the way sequence similarity search algorithms have aided the functional annotation of genes and proteins. PM is freely available at MetabolomeExpress (https://www.metabolome-express.org/phenometer.php).