Linking demographic responses and life history tactics from longitudinal data in mammals

In stochastic environments, a change in a demographic parameter can influence the population growth rate directly or via a resulting impact on age structure. Stochastic elasticity of the long‐run stochastic growth rate λ_s to a demographic parameter offers a suitable way to measure the overall demographic response because it includes both the direct effect of changing the demographic parameter and its indirect effect through changes in the age structure. From 25 mammalian populations with contrasting life histories, we investigated how pace of life and population growth rate influence the demographic responses (measured as the relative contributions of the direct and indirect components of stochastic elasticity on λ_s). We found that in short‐lived species, the change in population structure resulting from an increase in yearling survival leads to an additional increase in λ_s, whereas in long‐lived species, the same change in population structure leads to a decrease. Short‐lived species thus display a boom‐bust life history strategy contrary to long‐lived species, for which the long lifespan dampens the demographic consequences of changing age structure. Irrespective of the species’ life history strategy, the change in population age structure resulting from an increase in adult survival leads to an additional increase in λ_s due to an increase of the proportion of mature individuals in the population. On the contrary, a change in population age structure resulting from an increase of reproductive performance leads to a decrease in λ_s that is due to the increase of the proportion of immature individuals in the population. Our comparative analysis of stochastic elasticity patterns in mammals shows the existence of different demographic responses to changes in age structure between short‐ and long‐lived species, which improves our understanding of population dynamics in variable environments in relation to the species‐specific pace of life.     

Revisiting Plant Plasma Membrane Lipids in Tobacco: A Focus on Sphingolipids

The lipid composition of plasma membrane (PM) and the corresponding detergent-insoluble membrane (DIM) fraction were analyzed with a specific focus on highly polar sphingolipids, so-called glycosyl inositol phosphorylceramides (GIPCs). Using tobacco (Nicotiana tabacum) ‘Bright Yellow 2’ cell suspension and leaves, evidence is provided that GIPCs represent up to 40 mol % of the PM lipids. Comparative analysis of DIMs with the PM showed an enrichment of 2-hydroxylated very-long-chain fatty acid-containing GIPCs and polyglycosylated GIPCs in the DIMs. Purified antibodies raised against these GIPCs were further used for immunogold-electron microscopy strategy, revealing the distribution of polyglycosylated GIPCs in domains of 35 ± 7 nm in the plane of the PM. Biophysical studies also showed strong interactions between GIPCs and sterols and suggested a role for very-long-chain fatty acids in the interdigitation between the two PM-composing monolayers. The ins and outs of lipid asymmetry, raft formation, and interdigitation in plant membrane biology are finally discussed.Eukaryotic plasma membranes (PMs) are composed of three main classes of lipids, glycerolipids, sphingolipids, and sterols, which may account for up to 100,000 different molecular species (Yetukuri et al., 2008; Shevchenko and Simons, 2010). Overall, all glycerolipids share the same molecular moieties in plants, animals, and fungi. By contrast, sterols and sphingolipids are different and specific to each kingdom. For instance, the plant PM contains an important number of sterols, among which β-sitosterol, stigmasterol, and campesterol predominate (Furt et al., 2011). In addition to free sterols, phytosterols can be conjugated to form steryl glycosides (SG) and acyl steryl glycosides (ASG) that represent up to approximately 15% of the tobacco (Nicotiana tabacum) PM (Furt et al., 2010). As for sphingolipids, sphingomyelin, the major phosphosphingolipid in animals, which harbors a phosphocholine as a polar head, is not detected in plants. Glycosyl inositol phosphorylceramides (GIPCs) are the major class of sphingolipids in plants, but they are absent in animals (Sperling and Heinz, 2003; Pata et al., 2010). Sphingolipidomic approaches identified up to 200 plant sphingolipids (for review, see Pata et al., 2010; Cacas et al., 2013).Although GIPCs belong to one of the earliest classes of plant sphingolipids that were identified in the late 1950s (Carter et al., 1958), only a few GIPCs have been structurally characterized to date because of their high polarity and a limited solubility in typical lipid extraction solvents. For these reasons, they were systematically omitted from published plant PM lipid composition. GIPCs are formed by the addition of an inositol phosphate to the ceramide moiety, the inositol headgroup of which can then undergo several glycosylation steps. The dominant glycan structure, composed of a hexose-GlcA linked to the inositol, is called series A. Polar heads containing three to seven sugars, so-called series B to F, have been identified and appeared to be species specific (Buré et al., 2011; Cacas et al., 2013; Mortimer et al., 2013). The ceramide moiety of GIPCs consists of a long-chain base (LCB), mainly t18:0 (called phytosphingosine) or t18:1 compounds (for review, see Pata et al., 2010), to which is amidified a very-long-chain fatty acid (VLCFA), the latter of which is mostly 2-hydroxylated (hVLCFA) with an odd or even number of carbon atoms. In plants, little is known about the subcellular localization of GIPCs. It is assumed, however, that they would be highly represented in the PM (Worrall et al., 2003; Sperling et al., 2005), even if this remains to be experimentally proven. The main argument supporting such an assumption is the strong enrichment of trihydroxylated LCB (t18:n) in detergent-insoluble membrane (DIM) fractions (Borner et al., 2005; Lefebvre et al., 2007), LCB being known to be predominant in GIPC’s core structure as aforementioned.In addition to this chemical complexity, lipids are not evenly distributed within the PM. Sphingolipids and sterols can preferentially interact with each other and segregate to form microdomains dubbed the membrane raft (Simons and Toomre, 2000). The membrane raft hypothesis suggests that lipids play a regulatory role in mediating protein clustering within the bilayer by undergoing phase separation into liquid-disordered and liquid-ordered phases. The liquid-ordered phase, termed the membrane raft, was described as enriched in sterol and saturated sphingolipids and is characterized by tight lipid packing. Proteins, which have differential affinities for each phase, may become enriched in, or excluded from, the liquid-ordered phase domains to optimize the rate of protein-protein interactions and maximize signaling processes. In animals, rafts have been implicated in a huge range of cellular processes, such as hormone signaling, membrane trafficking in polarized epithelial cells, T cell activation, cell migration, and the life cycle of influenza and human immunodeficiency viruses (Simons and Ikonen, 1997; Simons and Gerl, 2010). In plants, evidence is increasing that rafts are also involved in signal transduction processes and membrane trafficking (for review, see Mongrand et al., 2010; Simon-Plas et al., 2011; Cacas et al., 2012a).Moreover, lipids are not evenly distributed between the two leaflets of the PM. Within the PM of eukaryotic cells, sphingolipids are primarily located in the outer monolayer, whereas unsaturated phospholipids are predominantly exposed on the cytosolic leaflet. This asymmetrical distribution has been well established in human red blood cells, in which the outer leaflet contains sphingomyelin, phosphatidylcholine, and a variety of glycolipids like gangliosides. By contrast, the cytoplasmic leaflet is composed mostly of phosphatidylethanolamine, phosphatidylserine, phosphatidylinositol, and their phosphorylated derivatives (Devaux and Morris, 2004). With regard to sphingolipids and glycerolipids, the asymmetry of the former is established during their biosynthesis and that of the latter requires ATPases such as the aminophospholipid translocase that transports lipids from the outer to the inner leaflet as well as multiple drug resistance proteins that transport phosphatidylcholine in the opposite direction (Devaux and Morris, 2004). This ubiquitous scheme encountered in animal cells could apply in plant cells as proposed (Tjellstrom et al., 2010). Indeed, the authors showed that there is a pronounced transverse lipid asymmetry in root at the PM. Phospholipids and galactolipids dominate the cytosolic leaflet, whereas the apoplastic leaflet is enriched in sphingolipids and sterols.From such a high diversity of the plant PM thus arises the question of the respective contribution of lipids to membrane suborganization. Our group recently tackled this aspect by characterizing the order level of liposomes prepared from various plant lipids and labeled with the environment-sensitive probe di-4-ANEPPDHQ (Grosjean et al., 2015). Fluorescence spectroscopy experiments showed that, among phytosterols, campesterol exhibits the strongest ability to order model membranes. In agreement with these data, spatial analysis of the membrane organization through multispectral confocal microscopy pointed to the strong ability of campesterol to promote liquid-ordered domain formation and organize their spatial distribution at the membrane surface. Conjugated sterols also exhibit a striking ability to order membranes. In addition, GIPCs enhance the sterol-induced ordering effect by emphasizing the formation and increasing the size of sterol-dependent ordered domains.The aim of this study was to reinvestigate the lipid composition and organization of the PM with a particular focus on GIPCs using tobacco leaves and cv Bright Yellow 2 (BY-2) cell cultures as models. Analyzing all membrane lipid classes at once, including sphingolipids, is challenging because they all display dramatically different chemical polarity, from very apolar (like free sterols) to highly polar (like polyglycosylated GIPCs) molecules. Most lipid extraction techniques published thus far use a chloroform/methanol mixture and phase partition to remove contaminants, resulting in the loss GIPCs, which remain in the aqueous phase, unextracted in the insoluble pellet, or at the interphase (Markham et al., 2006). In order to gain access to both glycerolipid and sphingolipid species at a glance, we developed a protocol whereby the esterifed or amidified fatty acids were hydrolyzed from the glycerol backbone (glycerolipids) or the LCB (sphingolipids) of membrane lipids, respectively. Fatty acids were then analyzed by gas chromatography-mass spectrometry (GC-MS) with appropriate internal standards for quantification. We further proposed that the use of methyl tert-butyl ether (MTBE) ensures the extraction of all classes of plant polar lipids. Our results indicate that GIPCs represent up to 40 mol % of total tobacco PM lipids. Interestingly, polyglycolyslated GIPCs are 5-fold enriched in DIMs of BY-2 cells when compared with the PM. Further investigation led us to develop a preparative purification procedure that allowed us to obtain enough material to raise antibodies against GIPCs. Using immunogold labeling on PM vesicles, it was found that polyglycosylated GIPCs cluster in membrane nanodomains, strengthening the idea that lateral nanosegregation of sphingolipids takes place at the PM in plants. Multispectral confocal microscopy was performed on vesicles prepared using GIPCs, phospholipids, and sterols and labeled with the environment-sensitive probe di-4-ANEPPDHQ. Our results show that, despite different fatty acid and polar head compositions, GIPCs extracted from tobacco leaves and BY-2 cells have a similar intrinsic propensity of enhancing vesicle global order together with sterols. Assuming that GIPCs are mostly present in the outer leaflet of the PM, interactions between sterols and sphingolipids were finally studied by the Langmuir monolayer technique, and the area of a single molecule of GIPC, or in interaction with phytosterols, was calculated. Using the calculation docking method, the energy of interaction between GIPCs and phytosterols was determined. A model was proposed in which GIPCs and phytosterols interact together to form liquid-ordered domains and in which the VLCFAs of GIPCs promote the interdigitation of the two membrane leaflets. The implications of domain formation and the asymmetrical distribution of lipids at the PM in plants are also discussed. Finally, we propose a model that reconsiders the intricate organization of the plant PM bilayer.     

Genomic and physiological analysis reveals versatile metabolic capacity of deep-sea <Emphasis Type="Italic">Photobacterium phosphoreum</Emphasis> ANT-2200

Bacteria of the genus Photobacterium thrive worldwide in oceans and show substantial eco-physiological diversity including free-living, symbiotic and piezophilic life styles. Genomic characteristics underlying this variability across species are poorly understood. Here we carried out genomic and physiological analysis of Photobacterium phosphoreum strain ANT-2200, the first deep-sea luminous bacterium of which the genome has been sequenced. Using optical mapping we updated the genomic data and reassembled it into two chromosomes and a large plasmid. Genomic analysis revealed a versatile energy metabolic potential and physiological analysis confirmed its growth capacity by deriving energy from fermentation of glucose or maltose, by respiration with formate as electron donor and trimethlyamine N-oxide (TMAO), nitrate or fumarate as electron acceptors, or by chemo-organo-heterotrophic growth in rich media. Despite that it was isolated at a site with saturated dissolved oxygen, the ANT-2200 strain possesses four gene clusters coding for typical anaerobic enzymes, the TMAO reductases. Elevated hydrostatic pressure enhances the TMAO reductase activity, mainly due to the increase of isoenzyme TorA1. The high copy number of the TMAO reductase isoenzymes and pressure-enhanced activity might imply a strategy developed by bacteria to adapt to deep-sea habitats where the instant TMAO availability may increase with depth.     

Protein side chain conformation predictions with an MMGBSA energy function

The prediction of protein side chain conformations from backbone coordinates is an important task in structural biology, with applications in structure prediction and protein design. It is a difficult problem due to its combinatorial nature. We study the performance of an “MMGBSA” energy function, implemented in our protein design program Proteus, which combines molecular mechanics terms, a Generalized Born and Surface Area (GBSA) solvent model, with approximations that make the model pairwise additive. Proteus is not a competitor to specialized side chain prediction programs due to its cost, but it allows protein design applications, where side chain prediction is an important step and MMGBSA an effective energy model. We predict the side chain conformations for 18 proteins. The side chains are first predicted individually, with the rest of the protein in its crystallographic conformation. Next, all side chains are predicted together. The contributions of individual energy terms are evaluated and various parameterizations are compared. We find that the GB and SA terms, with an appropriate choice of the dielectric constant and surface energy coefficients, are beneficial for single side chain predictions. For the prediction of all side chains, however, errors due to the pairwise additive approximation overcome the improvement brought by these terms. We also show the crucial contribution of side chain minimization to alleviate the rigid rotamer approximation. Even without GB and SA terms, we obtain accuracies comparable to SCWRL4, a specialized side chain prediction program. In particular, we obtain a better RMSD than SCWRL4 for core residues (at a higher cost), despite our simpler rotamer library. Proteins 2016; 84:803–819. © 2016 Wiley Periodicals, Inc.     

Contribution of Flooded Soils to Sediment and Nutrient Fluxes in a Hydropower Reservoir (Sarrans,Central France)

Ecosystems - When a water reservoir is created, the pre-existing soils and vegetation are flooded. Here, we took advantage of the complete emptying of the Sarrans Reservoir, which was flooded...     

Role of the Spatzle Pro-domain in the generation of an active toll receptor ligand

The cytokine Sp?tzle is the ligand for Drosophila Toll, the prototype of an important family of membrane receptors that function in embryonic patterning and innate immunity. A dimeric precursor of Sp?tzle is processed by an endoprotease to produce a form (C-106) that cross-links Toll receptor ectodomains and establishes signaling. Here we show that before processing the pro-domain of Sp?tzle is required for correct biosynthesis and secretion. We mapped two loss-of-function mutations of Sp?tzle to a discrete site in the pro-domain and showed that the phenotype arises because of a defect in biosynthesis rather than signaling. We also report that the pro-domain and C-106 remain associated after cleavage and that this processed complex signals with the same characteristics as the C-terminal fragment. These results suggest that before activation the determinants on C-106 that bind specifically to Toll are sequestered by the pro-domain and that proteolytic processing causes conformational rearrangements that expose these determinants and enables binding to Toll. Furthermore, we show that the pro-domain is released when the Toll extracellular domain binds to the complex, a finding that has implications for the generation of a signaling-competent Toll dimer.     

Characterization of a factor Xa binding site on factor Va near the Arg-506 activated protein C cleavage site

Prothrombin is proteolytically activated by the prothrombinase complex comprising the serine protease Factor (F) Xa complexed with its cofactor, FVa. Based on inhibition of the prothrombinase complex by synthetic peptides, FVa residues 493-506 were proposed as a FXa binding site. FVa is homologous to FVIIIa, the cofactor for the FIXa protease, in the FX-activating complex, and FVIIIa residues 555-561 (homologous to FVa residues 499-506) are recognized as a FIXa binding sequence. To test the hypothesis that FVa residues 499-505 contribute to FXa binding, we created the FVa loop swap mutant (designated 499-505(VIII) FV) with residues 499-505 replaced by residues 555-561 of FVIIIa, which differ at five of seven positions. Based on kinetic measurements and spectroscopic titrations, this FVa loop swap mutant had significantly reduced affinity for FXa. The fully formed prothrombinase complex containing this FVa mutant had fairly normal kinetic parameters (k(cat) and K(m)) for cleavage of prothrombin at Arg-320. However, small changes in both Arg-320 and Arg-271 cleavage rates result together in a moderate change in the pathway of prothrombin activation. Although residues 499-505 directly precede the Arg-506 cleavage site for activated protein C (APC), the 499-505(VIII) FVa mutant was inactivated entirely normally by APC. These results suggest that this A2 domain sequence of the FVa and FVIIIa cofactors evolved to have different specificity for binding FXa and FIXa while retaining compatibility as substrate for APC. In an updated three-dimensional model for the FVa structure, residues 499-505, along with Arg-506, Arg-306, and other previously suggested FXa binding sequences, delineate a continuous surface on the A2 domain that is strongly implicated as an extended FXa binding surface in the prothrombinase complex.     

Translational control of retroviruses

All replication-competent retroviruses contain three main reading frames, gag, pol and env, which are used for the synthesis of structural proteins, enzymes and envelope proteins respectively. Complex retroviruses, such as lentiviruses, also code for regulatory and accessory proteins that have essential roles in viral replication. The concerted expression of these genes ensures the efficient polypeptide production required for the assembly and release of new infectious progeny virions. Retroviral protein synthesis takes place in the cytoplasm and depends exclusively on the translational machinery of the host infected cell. Therefore, not surprisingly, retroviruses have developed RNA structures and strategies to promote robust and efficient expression of viral proteins in a competitive cellular environment.