Low temperature constrains growth rates but not short-term ingestion rates of Antarctic ciliates

Low environmental temperature is a major factor affecting the feeding activities, growth rates, and growth efficiencies of metazooplankton, but these features are poorly characterized for most protistan species. Laboratory experiments were conducted to examine the growth and ingestion rates of cultured herbivorous Antarctic ciliates. Three ciliates fed several algal species individually at 0 °C exhibited uniformly low growth rates (<0.26 day^?1), but the algae varied substantially in their ability to support ciliate growth. Specific ingestion rate (prey biomass consumed per unit ciliate biomass per unit time) was strongly affected by ciliate physiological state (starved vs. actively growing). Starved cells ingested many more prey than cells in balanced growth during short-term (minutes-to-hours) experiment but did not grow faster, indicating temperature compensation of ingestion rate but not growth rate. Field experiments were also conducted in the Ross Sea, Antarctica, to characterize the feeding rates of ciliates in natural plankton assemblages. Specific ingestion rates of two dominant ciliates were an order of magnitude lower than rates reported for temperate ciliates, but estimated rates were strongly affected by prey abundance. Our data indicate that short-term ingestion rates of Antarctic ciliates were not constrained by low environmental temperature although overall growth rates were, indicating the need for caution when designing experiments to measure the ingestion rates of these species at low environmental temperature. We present evidence that artifacts arising from estimating ingestion in short-term experiments may lead to errors in estimating feeding impact and growth efficiencies that are particularly large for polar protists.     

Mus in Morocco: a Quaternary sequence of intraspecific evolution

North Africa is an intricate biogeographical region at the crossroads of immigration waves from tropical Africa and Asia. Species confined between various barriers (Atlas Mountains, arid environments such as the Sahara in the south, water masses such as the Mediterranean Sea in the north, and the Atlantic Ocean in the west) were generally forced to adapt locally to environmental changes instead of tracking their habitat by shifting their distribution area. The present study aims at providing first insight into the evolution of the genus Mus, and more specifically of the western Mediterranean species Mus spretus in this area. The study relies on the abundant Late Pleistocene and Middle Holocene fossil assemblage from the El Harhoura 2 cave (Rabat‐Témara, Morocco). This exceptional record was studied using geometric morphometrics applied to first upper and lower molars, constituting the most informative and best preserved fossil remains for such small rodents. Two main issues were addressed. (1) Geometric morphometrics was used to clarify taxonomic status and phylogenetic relationships among fossil and modern species in this area. Morphometric analysis revealed good discrimination of most modern and fossil species but failed to document intermediate forms tracing anagenetic evolution. Not mutually exclusive, the occurrence of complex processes of morphological evolution in this genus such as parallel evolution and the action of stabilizing selection may make it difficult to translate patterns of morphological evolution into phylogenetic conclusions. (2) The record was shown to document a sequence of intraspecific evolution of M. spretus. The morphology of the molars through the fossil record of El Harhoura 2 was surprisingly stable despite extensive modern variation. The limited temporal variation largely failed to correlate to palaeoenvironmental proxies. The mouse fossil record at El Harhoura 2 thus presents an intriguing case of morphological stasis despite extensive environmental changes. This long‐term stability may have been recently perturbed by anthropogenic factors including landscape changes and introduction of various competitors and predators, leading to a size reduction. © 2013 The Linnean Society of London, Biological Journal of the Linnean Society, 2013, 109 , 599–621.     

Global Analysis of DNA Methylation Variation in Adipose Tissue from Twins Reveals Links to Disease-Associated Variants in Distal Regulatory Elements

Epigenetic modifications such as DNA methylation play a key role in gene regulation and disease susceptibility. However, little is known about the genome-wide frequency, localization, and function of methylation variation and how it is regulated by genetic and environmental factors. We utilized the Multiple Tissue Human Expression Resource (MuTHER) and generated Illumina 450K adipose methylome data from 648 twins. We found that individual CpGs had low variance and that variability was suppressed in promoters. We noted that DNA methylation variation was highly heritable (h²_median = 0.34) and that shared environmental effects correlated with metabolic phenotype-associated CpGs. Analysis of methylation quantitative-trait loci (metQTL) revealed that 28% of CpGs were associated with nearby SNPs, and when overlapping them with adipose expression quantitative-trait loci (eQTL) from the same individuals, we found that 6% of the loci played a role in regulating both gene expression and DNA methylation. These associations were bidirectional, but there were pronounced negative associations for promoter CpGs. Integration of metQTL with adipose reference epigenomes and disease associations revealed significant enrichment of metQTL overlapping metabolic-trait or disease loci in enhancers (the strongest effects were for high-density lipoprotein cholesterol and body mass index [BMI]). We followed up with the BMI SNP rs713586, a cg01884057 metQTL that overlaps an enhancer upstream of ADCY3, and used bisulphite sequencing to refine this region. Our results showed widespread population invariability yet sequence dependence on adipose DNA methylation but that incorporating maps of regulatory elements aid in linking CpG variation to gene regulation and disease risk in a tissue-dependent manner.     

Evolution and diversity of Arsenophonus endosymbionts in aphids

Endosymbiotic bacteria are important drivers of insect evolutionary ecology, acting both as partners that contribute to host adaptation and as subtle parasites that manipulate host reproduction. Among them, the genus Arsenophonus is emerging as one of the most widespread lineages. Its biology is, however, entirely unknown in most cases, and it is therefore unclear how infections spread through insect populations. Here we examine the incidence and evolutionary history of Arsenophonus in aphid populations from 86 species, characterizing the processes that shape their diversity. We identify aphids as harbouring an important diversity of Arsenophonus strains. Present in 7% of the sampled species, incidence was especially high in the Aphis genus with more than 31% of the infected species. Phylogenetic investigations revealed that these Arseno‐phonus strains do not cluster within an aphid‐specific clade but rather exhibit distinct evolutionary origins showing that they undergo repeated horizontal transfers (HT) between distantly related host species. Their diversity pattern strongly suggests that ecological interactions, such as plant mediation and parasitism, are major drivers for Arsenophonus dispersal, dictating global incidence across insect communities. Notably, plants hosting aphids may be important ecological arenas for global exchange of Arsenophonus, serving as reservoirs for HT.     

Disturbances, elevation, topography and spatial proximity drive vegetation patterns along an altitudinal gradient of a top biodiversity hotspot

The correlation between vegetation patterns (species distribution and richness) and altitudinal variation has been widely reported for tropical forests, thereby providing theoretical basis for biodiversity conservation. However, this relationship may have been oversimplified, as many other factors may influence vegetation patterns, such as disturbances, topography and geographic distance. Considering these other factors, our primary question was: is there a vegetation pattern associated with substantial altitudinal variation (10–1,093 m a.s.l.) in the Atlantic Rainforest—a top hotspot for biodiversity conservation—and, if so, what are the main factors driving this pattern? We addressed this question by sampling 11 1-ha plots, applying multivariate methods, correlations and variance partitioning. The Restinga (forest on sandbanks along the coastal plains of Brazil) and a lowland area that was selectively logged 40 years ago were floristically isolated from the other plots. The maximum species richness (>200 spp. per hectare) occurred at approximately 350 m a.s.l. (submontane forest). Gaps, multiple stemmed trees, average elevation and the standard deviation of the slope significantly affected the vegetation pattern. Spatial proximity also influenced the vegetation pattern as a structuring environmental variable or via dispersal constraints. Our results clarify, for the first time, the key variables that drive species distribution and richness across a large altitudinal range within the Atlantic Rainforest.     

Accounting for Age Uncertainty in Growth Modeling,the Case Study of Yellowfin Tuna (Thunnus albacares) of the Indian Ocean

Age estimates, typically determined by counting periodic growth increments in calcified structures of vertebrates, are the basis of population dynamics models used for managing exploited or threatened species. In fisheries research, the use of otolith growth rings as an indicator of fish age has increased considerably in recent decades. However, otolith readings include various sources of uncertainty. Current ageing methods, which converts an average count of rings into age, only provide periodic age estimates in which the range of uncertainty is fully ignored. In this study, we describe a hierarchical model for estimating individual ages from repeated otolith readings. The model was developed within a Bayesian framework to explicitly represent the sources of uncertainty associated with age estimation, to allow for individual variations and to include knowledge on parameters from expertise. The performance of the proposed model was examined through simulations, and then it was coupled to a two-stanza somatic growth model to evaluate the impact of the age estimation method on the age composition of commercial fisheries catches. We illustrate our approach using the saggital otoliths of yellowfin tuna of the Indian Ocean collected through large-scale mark-recapture experiments. The simulation performance suggested that the ageing error model was able to estimate the ageing biases and provide accurate age estimates, regardless of the age of the fish. Coupled with the growth model, this approach appeared suitable for modeling the growth of Indian Ocean yellowfin and is consistent with findings of previous studies. The simulations showed that the choice of the ageing method can strongly affect growth estimates with subsequent implications for age-structured data used as inputs for population models. Finally, our modeling approach revealed particularly useful to reflect uncertainty around age estimates into the process of growth estimation and it can be applied to any study relying on age estimation.     

Epistatic Interaction between BANK1 and BLK in Rheumatoid Arthritis: Results from a Large Trans-Ethnic Meta-Analysis

Background

BANK1 and BLK belong to the pleiotropic autoimmune genes; recently, epistasis between BANK1 and BLK was detected in systemic lupus erythematosus. Although BLK has been reproducibly identified as a risk factor in rheumatoid arthritis (RA), reports are conflicting about the contribution of BANK1 to RA susceptibility. To ascertain the real impact of BANK1 on RA genetic susceptibility, we performed a large meta-analysis including our original data and tested for an epistatic interaction between BANK1 and BLK in RA susceptibility.

Patients and Methods

We investigated data for 1,915 RA patients and 1,915 ethnically matched healthy controls genotyped for BANK1 rs10516487 and rs3733197 and BLK rs13277113. The association of each SNP and RA was tested by logistic regression. Multivariate analysis was then used with an interaction term to test for an epistatic interaction between the SNPs in the 2 genes.

Results

None of the SNPs tested individually was significantly associated with RA in the genotyped samples. However, we detected an epistatic interaction between BANK1 rs3733197 and BLK rs13277113 (P_interaction = 0.037). In individuals carrying the BLK rs13277113 GG genotype, presence of the BANK1 rs3733197 G allele increased the risk of RA (odds ratio 1.21 [95% confidence interval 1.04–1.41], P = 0.015. Combining our results with those of all other studies in a large trans-ethnic meta-analysis revealed an association of the BANK1 rs3733197 G allele and RA (1.11 [1.02–1.21], P = 0.012).

Conclusion

This study confirms BANK1 as an RA susceptibility gene and for the first time provides evidence for epistasis between BANK1 and BLK in RA. Our results illustrate the concept of pleiotropic epistatic interaction, suggesting that BANK1 and BLK might play a role in RA pathogenesis.     

Behavioral and functional strategies during tool use tasks in bonobos

Different primate species have developed extensive capacities for grasping and manipulating objects. However, the manual abilities of primates remain poorly known from a dynamic point of view. The aim of the present study was to quantify the functional and behavioral strategies used by captive bonobos (Pan paniscus) during tool use tasks. The study was conducted on eight captive bonobos which we observed during two tool use tasks: food extraction from a large piece of wood and food recovery from a maze. We focused on grasping postures, in‐hand movements, the sequences of grasp postures used that have not been studied in bonobos, and the kind of tools selected. Bonobos used a great variety of grasping postures during both tool use tasks. They were capable of in‐hand movement, demonstrated complex sequences of contacts, and showed more dynamic manipulation during the maze task than during the extraction task. They arrived on the location of the task with the tool already modified and used different kinds of tools according to the task. We also observed individual manual strategies. Bonobos were thus able to develop in‐hand movements similar to humans and chimpanzees, demonstrated dynamic manipulation, and they responded to task constraints by selecting and modifying tools appropriately, usually before they started the tasks. These results show the necessity to quantify object manipulation in different species to better understand their real manual specificities, which is essential to reconstruct the evolution of primate manual abilities.     

Immune gene variability influences roe deer natal dispersal

Dispersal is a key life‐history trait governing the response of individuals, populations and species to changing environmental conditions. In the context of global change, it is therefore essential to better understand the respective role of condition‐, phenotype‐ and genetic‐dependent drivers of dispersal behaviour. Although the importance of immune function and pathogen infestation in determining patterns of dispersal is increasingly recognised, no study to our knowledge has yet investigated the influence of immune gene variability on dispersal behaviour. Here, we filled this knowledge gap by assessing whether individual heterozygosity at five immune gene loci (one from the Major histocompatibility complex and four from encoding Toll‐like receptors) influences roe deer natal dispersal. We found that dispersal propensity was affected by immune gene diversity, suggesting potential pathogen‐mediated selection through over‐dominance. However, the direction of this effect differed between high and low quality individuals, suggesting that dispersal propensity is driven by two different mechanisms. In support of the condition‐dependent dispersal hypothesis, dispersal propensity increased with increasing body mass and, among high quality individuals only (standardized body mass > 18 kg), with increasing immune gene diversity. However, among poor quality individuals, we observed the opposite pattern such that dispersal propensity was higher for individuals with lower immune gene diversity. We suggest that these poor quality individuals expressed an emergency dispersal tactic in an attempt to escape a heavily infested environment associated with poor fitness prospects. Our results have potentially important consequences in terms of population genetics and demography, as well as host–pathogen evolution.     

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.