Climate change is impacting the performance of plants worldwide. However, the impact on ferns, the second-most diverse lineage of vascular plants, has received little attention. Here, we investigated the effects of one of the most claimed scenarios of the climatic change: drought (D), high temperature (HT) and high CO2 concentration (HCO2) on a fern (Nephrolepis exaltata) and a commonly studied angiosperm (Brassica oleracea) at photosynthetic, anatomical, and metabolic levels. Leaf anatomy was slightly affected by stress conditions in both species. Multivariate analysis demonstrated that B. oleracea's physiological responses to HCO2 were greater than N. exaltata's. Lipids and primary metabolites levels differed in response to stress in B. oleracea. Notably, the combination of D, HT, and HCO2 exacerbated the changes in primary metabolites, reducing amino and organic acids levels. Interestingly, phosphatidylcholine and phosphatidylethanolamine levels showed varied responses, increasing under HT and decreasing under HCO2 or combined stress in B. oleracea. In contrast, the fern was mostly unresponsive to D, HT, HCO2, and the combination among them at the metabolic level. Beyond providing important information concerning the trade-off between carbon uptake and stress acclimation mechanisms, our study indicates minor fern responses to D, HT, HCO2, suggesting differential impacts of climate change on ferns and angiosperms.

Collections of insertional mutants have been instrumental for characterizing the functional relevance of genes in different model organisms, including Arabidopsis (Arabidopsis thaliana). However, mutations may often result in subtle phenotypes, rendering it difficult to pinpoint the function of a knocked-out gene. Here, we present a data-integrative modeling approach that enables predicting the effects of mutations on metabolic traits and plant growth. To test the approach, we gathered lipidomics data and physiological read-outs for a set of 64 Arabidopsis lines with mutations in lipid metabolism. Use of flux sums as a proxy for metabolite concentrations allowed us to integrate the relative abundance of lipids and facilitated accurate predictions of growth and biochemical phenotype in approximately 73% and 76% of the mutants, respectively, for which phenotypic data were available. Likewise, we showed that this approach can pinpoint alterations in metabolic pathways related to silent mutations. Therefore, our study paves the way for coupling model-driven characterization of mutant lines from different mutagenesis approaches with metabolomic technologies, as well as for validating knowledge structured in large-scale metabolic networks of plants and other species.

Lipids play fundamental roles in regulating agronomically important traits. Advances in plant lipid metabolism have until recently largely been based on reductionist approaches, although modulation of its components can have system-wide effects. However, existing models of plant lipid metabolism provide lumped representations, hindering detailed study of component modulation. Here, we present the Plant Lipid Module (PLM) which provides a mechanistic description of lipid metabolism in the Arabidopsis thaliana rosette. We demonstrate that the PLM can be readily integrated in models of A. thaliana Col-0 metabolism, yielding accurate predictions (83%) of single lethal knock-outs and 75% concordance between measured transcript and predicted flux changes under extended darkness. Genome-wide associations with fluxes obtained by integrating the PLM in diel condition- and accession-specific models identify up to 65 candidate genes modulating A. thaliana lipid metabolism. Using mutant lines, we validate up to 40% of the candidates, paving the way for identification of metabolic gene function based on models capturing natural variability in metabolism.

Actinobacteria are important sources of antibiotics and have been found repeatedly in coral core microbiomes, suggesting this bacterial group plays important functional roles tied to coral survival. However, to unravel coral-actinobacteria ecological interactions and discover new antibiotics, the complex challenges that arise when isolating symbiotic actinobacteria must be overcome. Moreover, by isolating unknown actinobacteria from corals, novel biotechnological applications may be discovered. In this study, we compared actinobacteria recovery from coral samples between two widely known methods for isolating actinobacteria: dry stamping and heat shock. We found that dry stamping was at least three times better than heat shock. The assembly of isolated strains by dry stamping was unique for each species and consistent across same-species samples, highlighting that dry stamping can be reliably used to characterize coral actinobacteria communities. By analyzing the genomes of the closest related type strains, we were able to identify several functions commonly found among symbiotic organisms, such as transport and quorum sensing. This study provides a detailed methodology for isolating coral actinobacteria for ecological and biotechnological purposes.

The evolution of Crassulacean acid metabolism (CAM) by plants has been one of the most successful strategies in response to aridity. On the onset of climate change, expanding the use of water efficient crops and engineering higher water use efficiency into C3 and C4 crops constitute a plausible solution for the problems of agriculture in hotter and drier environments. A firm understanding of CAM is thus crucial for the development of agricultural responses to climate change. Computational models on CAM can contribute significantly to this understanding. Two types of models have been used so far. Early CAM models based on ordinary differential equations (ODE) reproduced the typical diel CAM features with a minimal set of components and investigated endogenous day/night rhythmicity. This line of research brought to light the preponderant role of vacuolar malate accumulation in diel rhythms. A second wave of CAM models used flux balance analysis (FBA) to better understand the role of CO2 uptake in flux distribution. They showed that flux distributions resembling CAM metabolism emerge upon constraining CO2 uptake by the system. We discuss the evolutionary implications of this and also how CAM components from unrelated pathways could have integrated along evolution.

De novo fatty acid biosynthesis in plants relies on a prokaryotic-type acetyl-CoA carboxylase (ACCase) that resides in the plastid compartment. The enzyme is composed of four subunits, one of which is encoded in the plastid genome, whereas the other three subunits are encoded by nuclear genes. The plastid gene (accD) encodes the β-carboxyltransferase subunit of ACCase and is essential for cell viability. To facilitate the functional analysis of accD, we pursued a transplastomic knockdown strategy in tobacco (Nicotiana tabacum). By introducing point mutations into the translational start codon of accD, we obtained stable transplastomic lines with altered ACCase activity. Replacement of the standard initiator codon AUG with UUG strongly reduced AccD expression, whereas replacement with GUG had no detectable effects. AccD knockdown mutants displayed reduced ACCase activity, which resulted in changes in the levels of many but not all species of cellular lipids. Limiting fatty acid availability caused a wide range of macroscopic, microscopic, and biochemical phenotypes, including impaired chloroplast division, reduced seed set, and altered storage metabolism. Finally, while the mutants displayed reduced growth under photoautotrophic conditions, they showed exaggerated growth under heterotrophic conditions, thus uncovering an unexpected antagonistic role of AccD activity in autotrophic and heterotrophic growth.

Utilizing phosphate more efficiently is crucial for sustainable crop production. Highly efficient rice (Oryza sativa) cultivars have been identified and this study aims to identify metabolic markers associated with P utilization efficiency (PUE). P deficiency generally reduced leaf P concentrations and CO2 assimilation rates but efficient cultivars were reducing leaf P concentrations further than inefficient ones while maintaining similar CO2 assimilation rates. Adaptive changes in carbon metabolism were detected but equally in efficient and inefficient cultivar groups. Groups furthermore did not differ with respect to partial substitutions of phospholipids by sulfo- and galactolipids. Metabolites significantly more abundant in the efficient group, such as sinapate, benzoate and glucoronate, were related to antioxidant defence and may help alleviating oxidative stress caused by P deficiency. Sugar alcohols ribitol and threitol were another marker metabolite for higher phosphate efficiency as were several amino acids, especially threonine. Since these metabolites are not known to be associated with P deficiency, they may provide novel clues for the selection of more P efficient genotypes. In conclusion, metabolite signatures detected here were not related to phosphate metabolism but rather helped P efficient lines to keep vital processes functional under the adverse conditions of P starvation.

The genus Dactylopius, to which cochineals belong, comprises ten species, all distributed originally in North or South America. Two species native to Mexico, Dactylopius coccus (fine cochineal) and Dactylopius opuntiae (wild cochineal), are the ones with the highest economic importance, because of the commercial interest in fine cochineal as a natural pigment source, and the invasiveness of both species in commercial plantations of cactus pear. Since the dispersal of cactus pear throughout the arid areas of the world, the arrival of cochineal (fine or wild) has led to a number of agricultural disasters that are still occurring. A tool created to prevent and control these issues is good agricultural practice (GAP), which involves a compilation of principles to be applied on any farm during production and post-production processes. Here, we want to show the importance of GAP and highlight important measures to control cochineal in cactus pear plantations.

Upon exposure to light, plant cells quickly acquire photosynthetic competence by converting pale etioplasts into green chloroplasts. This developmental transition involves the de novo biogenesis of the thylakoid system and requires reprogramming of metabolism and gene expression. Etioplast-to-chloroplast differentiation involves massive changes in plastid ultrastructure, but how these changes are connected to specific changes in physiology, metabolism, and expression of the plastid and nuclear genomes is poorly understood. Here, we describe a new experimental system in the dicotyledonous model plant tobacco (Nicotiana tabacum) that allows us to study the leaf deetiolation process at the systems level. We have determined the accumulation kinetics of photosynthetic complexes, pigments, lipids, and soluble metabolites and recorded the dynamic changes in plastid ultrastructure and in the nuclear and plastid transcriptomes. Our data describe the greening process at high temporal resolution, resolve distinct genetic and metabolic phases during deetiolation, and reveal numerous candidate genes that may be involved in light-induced chloroplast development and thylakoid biogenesis.

[Abstract] A protocol for the axillary bud proliferation of prickly pear (Opuntia; Cactaceae) is presented. This genus is widely used as a crop in the arid and semi-arid areas of the globe worldwide, providing numerous benefits for human and animal consumption. In vitro culture for axillary bud proliferation is of great use to obtain a large quantity of plants in a short period of time, with potential uses in production and for the preservation of endangered species of the Opuntia genus. The optimal medium for Opuntia in vitro culture consists of Murashige and Skoog medium (MS) and L2 vitamins. To increase the yield of the axillary bud proliferation, we recommend the addition of plant growth regulators (PGRs). This work suggests a 15 d incubation in the medium with 2.2 mg/L of benzyl aminopurine (BA) after which the explants are transferred to the medium without PGRs. We explain as well how to adapt the plant to ex vitro conditions.

Large bulbs of Lilium longiflorum have an obligatory cold requirement to flower. Bulb cooling is widely used to induce and accelerate flowering. However, in-depth investigations of the effect of bulb cooling on major landmarks of plant development are lacking. It has been demonstrated that low temperature induces carbohydrate degradation, yet integrative studies on metabolic changes occurring in the bulb are not available. We detected that cold exposure mainly hastened bulb sprouting, rather than floral transition or blooming. Metabolite profiling of cooled and non-cooled bulbs was carried out, revealing cold-induced accumulation of soluble sugars, lipids and specific amino acids, and a significant reduction in tricarboxylic acid (TCA)-cycle elements. We observed that metabolic pathways located in the cytosol - including glycolysis, lipid synthesis and part of the gamma-Aminobutyric acid (GABA) shunt - were enhanced by cold exposure, while mitochondrial metabolism - namely the TCA cycle - was reduced by cold. We suggest a physiological model accounting for this metabolic discrepancy.

Ammonium (NH4+) and nitrate (NO3-) are the two major forms of inorganic nitrogen absorbed by plants and can also act as signals regulating gene expression. Tea plant preferentially absorbs and utilizes NH4+ over NO3-, which in turn significantly affect the tea quality. However, information about the signaling functions of the N forms regulating secondary metabolism in tea plant is very limited in comparison with vast prevailing investigation on plant primary nitrogen and carbon metabolism. In the present experiment, tea plants were treated with NH4+ or NO3- enriched hydroponic medium for a short duration (30 min) and were subjected to transcriptome and selected metabolites analyses. The objective was to dissect the signaling effect of N forms regulating the metabolism of quality-related metabolites mainly flavonoids, caffeine and theanine in this economically important crop. Our results suggested that genes encoding for nitrogen transporters were highly responsive to both NH4+ and NO3- signaling molecules in tea roots, while they were specifically induced by NH4+ in leaves. Otherwise, the accumulation of theanine in roots was promoted by NH4+ signaling, while both NH4+ and NO3- suppressed the expression of genes in the upstream pathway of caffeine biosynthesis (SAM cycle) in leaves. Furthermore, NH4+ supply was associated with enhanced biosynthesis of catechin and epicatechin in tea plant leaves. In conclusion, NH4+ signaling induced higher response of gene expression and metabolism in leaves but lower response in roots than that of NO3-, indicating that the transduction of N signal played a vital role on the preferential assimilation for NH4+ over NO3- in tea plant. The biosynthesis of theanine and catechin could be induced by NH4+ as signaling molecule in tea plant within a short time. (C) 2017 Elsevier B.V. All rights reserved.

Background: Nitrogen (N) plays an important role in the formation of tea quality-related compounds, like amino acids and flavor/aroma origin compounds. Lipids, which have been reported to be affected by N deficiency, are precursors to the generation of flavor/aroma origin compounds in tea plant. However, there is no literature about the lipid profiles of tea plant affected by N fertilization. Hence, we hypothesize that the biosynthesis of flavor-related compounds in tea was affected by N through its regulation of lipid metabolism. Results: In this study, mature leaves and new shoots of tea plant grown under three N levels at the rates of 0, 285 and 474 kg/ha were applied for ultra-performance liquid chromatography-mass spectrometry (UPLC/MS) based lipidomic analysis. Totally, 178 lipid species were identified. The results showed that the composition of lipid compounds in mature leaves and new shoots varied dramatically, which was also affected by N levels. The higher content of the storage lipid TAG and higher carbon (C)/N ratio in mature leaves than that of new shoots in tea plants grown under low N level (0 kg/ha) suggested that tea plants could remobilize the C stored in TAG to maintain their C/N balance and help to improve the quality of tea. N fertilization resulted in a higher content of the compounds 36: 6 MGDG and 36: 6 DGDG. Since these compounds contain linolenic acid (18: 3), a precursor to the formation of aroma origin compounds, we suggested their increase could contribute to the quality of tea. Conclusions: Taken together, the present work indicated that appropriate application of N fertilizer could balance the lipid metabolism and the formation of flavor/aroma origin compounds, which help to improve the quality of tea. Moreover, excess N fertilization might deteriorate the aroma quality of made tea due to increases of precursors leading to grassy odor.

The impact of transient carbon depletion on reproductive growth in Arabidopsis was investigated by transferring long-photoperiod-grown plants to continuous darkness and returning them to a light-dark cycle. After 2 days of darkness, carbon reserves were depleted in reproductive sinks, and RNA in situ hybridization of marker transcripts showed that carbon starvation responses had been initiated in the meristem, anthers and ovules. Dark treatments of 2 or more days resulted in a bare-segment phenotype on the floral stem, with 23-27 aborted siliques. These resulted from impaired growth of immature siliques and abortion of mature and immature flowers. Depolarization of PIN1 protein and increased DII-VENUS expression pointed to rapid collapse of auxin gradients in the meristem and inhibition of primordia initiation. After transfer back to a light-dark cycle, flowers appeared and formed viable siliques and seeds. A similar phenotype was seen after transfer to sub-compensation point irradiance or CO2 . It also appeared in a milder form after a moderate decrease in irradiance and developed spontaneously in short photoperiods. We conclude that Arabidopsis inhibits primordia initiation and aborts flowers and very young siliques in C-limited conditions. This curtails demand, safeguarding meristem function and allowing renewal of reproductive growth when carbon becomes available again.

Lipids are a crucial and diverse class of biomolecules. Their structural heterogeneity in plants is staggering, and many aspects of plant life are manifested and mediated by lipids. Recent advances in metabolomic and lipidomic technologies and analysis have immensely increased our knowledge of the plant lipidome, its biosynthesis, regulation, adaptation, remodeling, functions, roles, and interactions. Here we review the recent literature and trends in lipidomics, and discuss specific issues pertaining to lipidomic research in plants, and how lipidomics has helped elucidate key issues in plant cell biology, immunity, response to stress, evolution, crop enhancement—to name but a few.

Lipid remodeling is one of the most dramatic metabolic responses to phosphorus (P) starvation. It consists of the degradation of phospholipids to release the phosphate needed by the cell and the accumulation of glycolipids to replace phospholipids in the membranes. It is shown that PHR1, a well-described transcriptional regulator of P starvation of the MYB family, largely controls this response. Glycerolipid composition and the expression of most lipid-remodeling gene transcripts analysed were altered in the phr1 mutant under phosphate starvation in comparison to wild-type plants. In addition to these results, the lipidomic characterization of wild-type plants showed two novel features of the lipid response to P starvation for Arabidopsis. Triacylglycerol (TAG) accumulates dramatically under P starvation (by as much as ~20-fold in shoots and ~13-fold in roots), a response known to occur in green algae but hardly known in plants. Surprisingly, there was an increase in phosphatidylglycerol (PG) in P-starved roots, a response that may be adaptive as it was suppressed in the phr1 mutant.

We investigated the systems response of metabolism and growth after an increase in irradiance in the nonsaturating range in the algal model Chlamydomonas reinhardtii. In a three-step process, photosynthesis and the levels of metabolites increased immediately, growth increased after 10 to 15 min, and transcript and protein abundance responded by 40 and 120 to 240 min, respectively. In the first phase, starch and metabolites provided a transient buffer for carbon until growth increased. This uncouples photosynthesis from growth in a fluctuating light environment. In the first and second phases, rising metabolite levels and increased polysome loading drove an increase in fluxes. Most Calvin-Benson cycle (CBC) enzymes were substrate-limited in vivo, and strikingly, many were present at higher concentrations than their substrates, explaining how rising metabolite levels stimulate CBC flux. Rubisco, fructose-1,6-biosphosphatase, and seduheptulose-1,7-bisphosphatase were close to substrate saturation in vivo, and flux was increased by posttranslational activation. In the third phase, changes in abundance of particular proteins, including increases in plastidial ATP synthase and some CBC enzymes, relieved potential bottlenecks and readjusted protein allocation between different processes. Despite reasonable overall agreement between changes in transcript and protein abundance (R-2 = 0.24), many proteins, including those in photosynthesis, changed independently of transcript abundance.

Quantification of fatty acids has been crucial to elucidate lipid biosynthesis pathways in plants. To date, fatty acid identification and quantification has relied mainly on gas chromatography (GC) coupled to flame ionization detection (FID) or mass spectrometry (MS), which requires the derivatization of samples and the use of chemical standards for annotation. Here we present an alternative method based on a simple procedure for the hydrolysis of lipids, so that fatty acids can be quantified by liquid chromatography mass spectrometry (LC-MS) analysis. Proper peak annotation of the fatty acids in the LC-MS-based methods has been achieved by LC-MS measurements of authentic standard compounds and elemental formula annotation supported by (13)C isotope-labeled Arabidopsis. As a proof of concept, we have compared the analysis by LC-MS and GC-FID of two previously characterized Arabidopsis thaliana knock-out mutants for FAD6 and FAD7 desaturase genes. These results are discussed in light of lipidomic profiles obtained from the same samples. In addition, we performed untargeted LC-MS analysis to determine the fatty acid content of two diatom species. Our results indicate that both LC-MS and GC-FID analyses are comparable, but that because of higher sensitivity and selectivity the LC-MS-based method allows for a broader coverage and determination of novel fatty acids.

The plasma membrane is an important organelle providing structure, signaling and transport as major biological functions. Being composed of lipids and proteins with different physicochemical properties, the biological functions of membranes depend on specific protein-protein and protein-lipid interactions. Interactions of proteins with their specific sterol and lipid environment were shown to be important factors for protein recruitment into sub-compartmental structures of the plasma membrane. System-wide implications of altered endogenous sterol levels for membrane functions in living cells were not studied in higher plant cells. In particular, little is known how alterations in membrane sterol composition affect protein and lipid organization and interaction within membranes. Here, we conducted a comparative analysis of the plasma membrane protein and lipid composition in Arabidopsis sterol-biosynthesis mutants smt1 and ugt80A2;B1. smt1 shows general alterations in sterol composition while ugt80A2;B1 is significantly impaired in sterol glycosylation. By systematically analyzing different cellular fractions and combining proteomic with lipidomic data we were able to reveal contrasting alterations in lipid-protein interactions in both mutants, with resulting differential changes in plasma membrane signaling status.