Temporal variability of ecological niches: a study on intertidal macrobenthic fauna

The determination of temporal niche dynamics under field conditions is an important component of a species’ ecology. Recent developments in niche mapping, and the possibility to account for spatial autocorrelation in species distributions, hold promise for the statistical approach explored here. Using species counts from a landscape‐scale benthic monitoring programme in the western Dutch Wadden Sea during 1997–2005 in combination with sediment characteristics and tidal height as explanatory variables, we statistically derive realised niches for two bivalves, two crustaceans and three polychaetes, encompassing predators, suspension and bottom feeding functional groups. Unsurprisingly, realized niches varied considerably between species. Intraspecific temporal variation was assessed as overlap between the year‐specific niche and the overall mean niche, and this analysis revealed considerable variation between years. The main functional groups represented by these species showed idiosyncratic and wide variability through the study period. There were no strong associations between niche characteristics and mean abundance or body size. Our assessment of intraspecific niche variability has ramifications for species distribution models in general and offers advances from previous methods. 1) By assessing species’ realized niches in the multivariate environmental space, analyses are independent from the relative availability of particular environments. Predicted realized niches present differences between years, rather than annual differences in environmental conditions. 2) Using spatially explicit models to predict species habitat preferences provide more precise and unbiased estimates of species–environment relationships. 3) Current niche models assume constant niches, whereas we illustrate how much these can vary over only a few generations. This emphasizes the potentially limited scope of global change studies with forecasts based on single‐time species distribution snapshots.     

Structural Determinants at the Interface of the ARC2 and Leucine-Rich Repeat Domains Control the Activation of the Plant Immune Receptors Rx1 and Gpa2

Many plant and animal immune receptors have a modular nucleotide-binding-leucine-rich repeat (NB-LRR) architecture in which a nucleotide-binding switch domain, NB-ARC, is tethered to a LRR sensor domain. The cooperation between the switch and sensor domains, which regulates the activation of these proteins, is poorly understood. Here, we report structural determinants governing the interaction between the NB-ARC and LRR in the highly homologous plant immune receptors Gpa2 and Rx1, which recognize the potato cyst nematode Globodera pallida and Potato virus X, respectively. Systematic shuffling of polymorphic sites between Gpa2 and Rx1 showed that a minimal region in the ARC2 and N-terminal repeats of the LRR domain coordinate the activation state of the protein. We identified two closely spaced amino acid residues in this region of the ARC2 (positions 401 and 403) that distinguish between autoactivation and effector-triggered activation. Furthermore, a highly acidic loop region in the ARC2 domain and basic patches in the N-terminal end of the LRR domain were demonstrated to be required for the physical interaction between the ARC2 and LRR. The NB-ARC and LRR domains dissociate upon effector-dependent activation, and the complementary-charged regions are predicted to mediate a fast reassociation, enabling multiple rounds of activation. Finally, we present a mechanistic model showing how the ARC2, NB, and N-terminal half of the LRR form a clamp, which regulates the dissociation and reassociation of the switch and sensor domains in NB-LRR proteins.Resistance (R) proteins play a central role in the recognition-based immune system of plants. Unlike vertebrates, plants lack an adaptive immune system with highly specialized immune cells. Instead, they rely on an innate immune system in which each cell is autonomous. Two types of immune receptors can be distinguished in plants, pathogen-associated molecular patterns recognition receptors that detect conserved molecular patterns in plant pathogens and intracellular R proteins that recognize specific effectors employed by pathogens as modifiers of host metabolism or defense mechanisms (Jones and Dangl, 2006). Effector-triggered activation of R proteins leads to an array of protective responses, often culminating in programmed cell death at the site of infection (Greenberg and Yao, 2004), thereby preventing further ingress of the pathogen. Pathogens have evolved mechanisms to evade recognition by R proteins and to regain their virulence (Dodds and Rathjen, 2010). This continuous coevolutionary process between host and pathogen has resulted in a reservoir of highly diverse R proteins in plants, enabling them to counteract a wide range of pathogens and pests.The most common class of R proteins consists of nucleotide-binding (NB)-leucine-rich repeat (LRR) proteins with a tripartite domain architecture, which roughly corresponds to an N-terminal response domain (a coiled coil [CC] or Toll/Interleukin-1 receptor [TIR] domain) involved in downstream signaling, a central molecular switch domain (the NB domain present in the mammalian apoptosis regulator Apaf1, plant R proteins, and the Caenorhabditis elegans apoptosis regulator CED4 [NB-ARC]), and a C-terminal sensor domain (the LRR domain). The NB-ARC domain is an extended nucleotide-binding domain that plant immune receptors share with metazoan apoptosis regulators and immune receptors such as Apaf1, CED4, and nucleotide-binding oligomerization domain (NOD-like) receptors (NLRs) and belongs to the STAND (signal transduction ATPases with numerous domains) family of nucleoside triphosphatase domains (van der Biezen and Jones, 1998; Leipe et al., 2004; Albrecht and Takken, 2006; Maekawa et al., 2011b). The overall modular architecture of metazoan STAND nucleoside triphosphatase is similar to that of NB-LRR plant immune receptors, but the domains flanking the NB-ARC domain often differ. In NLRs, for example, several N-terminal domains can be found, including caspase-recruiting domains and Pyrin domains (Proell et al., 2008). In the mammalian protein Apaf1, the sensor involved in cytochrome c detection consists of C-terminal WD40 repeats (Zou et al., 1997).In plant NB-LRR resistance proteins, the recognition of a pathogen effector via the LRR domain is thought to switch the conformation of the protein from a closed, autoinhibited “off” state into an open, active “on” state (Lukasik and Takken, 2009). The activation of NB-LRR proteins is most likely a multistep process in which the NB-ARC domain plays a central role. The three subdomains of the NB-ARC, the NB, ARC1, and ARC2, collectively form a nucleotide-binding pocket that adopts different conformations depending on the bound nucleotide. This mechanism seems to be conserved between proteins from organisms as distant as bacteria, metazoans, and plants (Rairdan and Moffett, 2007; Danot et al., 2009; Takken and Tameling, 2009). The conformational change coincides with the exchange of bound ADP for ATP in the NB-ARC, probably stabilizing the active conformation (Tameling et al., 2006; Ade et al., 2007). Hydrolysis of the bound ATP is hypothesized to return the domains to their inactive state. The exact mechanism by which elicitor recognition via the LRR leads to a conformational change of the NB-ARC and the subsequent activation of immune signaling pathways is not clear.Previous studies have shown that the CC/TIR, NB-ARC, and LRR domains in plant immune receptors interact and cooperate with each other in an interdependent manner (Moffett et al., 2002; Leister et al., 2005; Ade et al., 2007; Rairdan et al., 2008). From these data, a picture emerges in which the LRR domain is not only involved in pathogen recognition, but also plays a role in maintaining an autoinhibited resting state in the absence of pathogens via its interactions with the other domains (Bendahmane et al., 2002; Hwang and Williamson, 2003; Ade et al., 2007; Qi et al., 2012). A similar role as regulatory domain has been found for the sensor domains of other NLRs, such as the mammalian Apaf1 (Hu et al., 1998). For the potato (Solanum tuberosum) immune receptor Rx1, a model plant NB-LRR protein, it has been shown that the LRR cooperates with the ARC subdomains in retaining the inactive state of the protein. The deletion of the ARC and LRR domains leads to a constitutive activity of the NB (Bendahmane et al., 2002; Rairdan et al., 2008). In addition, it was demonstrated that the elicitor, the Potato virus X (PVX) coat protein, modifies the interdomain interactions in Rx1 (Moffett et al., 2002; Rairdan et al., 2008). Sequence exchanges between Rx1 and the highly homologous nematode resistance protein Gpa2 (88% amino acid identity) resulted in incompatibilities between the domains that give rise to inappropriate activation of cell death responses (Rairdan and Moffett, 2006), indicating that the cooperation between the sensor and switch domains depends on an interaction fine tuned by intramolecular coevolution. In this light, it is interesting to note that a functional ortholog of Rx1, Rx2 from Solanum acaule, is almost identical to Rx1 in its LRR region but displays a higher similarity to Gpa2 in stretches of its CC-NB-ARC sequence (Bendahmane et al., 2000).The aim of our study was to pinpoint the molecular determinants controlling the switch between the resting and activation state of NB-LRR proteins. The incompatibility between the ARC and LRR domains of Rx1 and Gpa2 was used as a guideline to dissect the molecular and structural determinants involved in the cooperation between the switch (NB-ARC) and sensor (LRR) domain. An extensive exchange of polymorphic residues between these two homologous NB-LRR proteins resulted in the identification of a minimal fragment of 68 amino acid residues in the ARC2 domain and the first LRR repeats as being crucial for proper activation of Gpa2 and Rx1. Within this minimal region, we identified two amino acids that, despite their proximity in the amino acid sequence, differentiate between elicitor-dependent (position 401) and independent activation (position 403). However, structural modeling of the domains shows that the residue at position 403 operates at the interface of the ARC2 and N-terminal part of the LRR domain, while residue 401 mapped at the interface between the ARC2 and NB domain. Furthermore, an acidic loop region in the ARC2 domain and complementary-charged basic patches in the N-terminal half of the LRR domain are shown to be required for the physical interaction between these domains. We demonstrate that the binding between the CC- NB-ARC and LRR domains is disrupted upon elicitor-dependent activation and that the complementary-charged residues are predicted to facilitate reassociation. Two independent docking simulations of the NB-ARC and LRR domain indicate that the LRR domain binds to the NB-ARC domain at the surface formed by the interaction of the ARC2 and NB subdomains. We present a mechanistic model in which the first repeats of the LRR, the ARC2 subdomain, and the NB form a clamp, which governs the shuttling between a closed, autoinhibited “off” state and an open, active “on” state of the resistance protein. Finally, we discuss the consequences of the functional constraints imposed by the interface of the NB, ARC2, and LRR domain for the generation of novel resistance specificities via evolutionary processes and genetic engineering.     

Bax Inhibitor-1-mediated Ca leak is decreased by cytosolic acidosis

Bax Inhibitor-1 (BI-1) is an evolutionarily conserved six-transmembrane domain endoplasmic reticulum (ER)-localized protein that protects against ER stress-induced apoptotic cell death. This function is closely connected to its ability to lower steady-state ER Ca²⁺ levels. Recently, we elucidated BI-1's Ca²⁺-channel pore in the C-terminal part of the protein and identified the critical amino acids of its pore. Based on these insights, a Ca²⁺-channel pore-dead mutant BI-1 (BI-1^D213R) was developed. We determined whether BI-1 behaves as a bona fide H⁺/Ca²⁺ antiporter or as an ER Ca²⁺-leak channel by investigating the effect of pH on unidirectional Ca²⁺-efflux rates. At pH 6.8, wild-type BI-1 expression in BI-1^−/− cells increased the ER Ca²⁺-leak rate, correlating with its localization in the ER compartment. In contrast, BI-1^D231R expression in BI-1^−/−, despite its ER localization, did not increase the ER Ca²⁺-leak rate. However, at pH < 6.8, the BI-1-mediated ER Ca²⁺ leak was blocked. Finally, a peptide representing the Ca²⁺-channel pore of BI-1 promoting Ca²⁺ flux from the ER was used. Lowering the pH from 6.8 to 6.0 completely abolished the ability of the BI-1 peptide to mediate Ca²⁺ flux from the ER. We propose that this pH dependence is due to two aspartic acid residues critical for the function of the Ca²⁺-channel pore and located in the ER membrane-dipping domain, which facilitates the protonation of these residues.     

Occupancy modelling as a new approach to assess supranational trends using opportunistic data: a pilot study for the damselfly Calopteryx splendens

There is limited information available on changes in biodiversity at the European scale, because there is a lack of data from standardised monitoring for most species groups. However, a great number of observations made without a standardised field protocol is available in many countries for many species. Such opportunistic data offer an alternative source of information, but unfortunately such data suffer from non-standardised observation effort and geographical bias. Here we describe a new approach to compiling supranational trends using opportunistic data which adjusts for these two major imperfections. The non-standardised observation effort is dealt with by occupancy modelling, and the unequal geographical distribution of sites by a weighting procedure. The damselfly Calopteryx splendens was chosen as our test species. The data were collected from five countries (Ireland, Great Britain, the Netherlands, Belgium and France), covering the period 1990–2008. We used occupancy models to estimate the annual number of occupied 1 × 1 km sites per country. Occupancy models use presence-absence data, account for imperfect detection of species, and thereby correct for between-year variability in observation effort. The occupancy models were run per country in a Bayesian mode of inference using JAGS. The occupancy estimates per country were then aggregated to assess the supranational trend in the number of occupied 1 × 1 km². To adjust for the unequal geographical distribution of surveyed sites, we weighted the countries according to the number of sites surveyed and the range of the species per country. The distribution of C. splendens has increased significantly in the combined five countries. Our trial demonstrated that a supranational trend in distribution can be derived from opportunistic data, while adjusting for observation effort and geographical bias. This opens new perspectives for international monitoring of biodiversity.     

Comparison of Pathogen DNA Isolation Methods from Large Volumes of Whole Blood to Improve Molecular Diagnosis of Bloodstream Infections

For patients suffering from bloodstream infections (BSI) molecular diagnostics from whole blood holds promise to provide fast and adequate treatment. However, this approach is hampered by the need of large blood volumes. Three methods for pathogen DNA isolation from whole blood were compared, i.e. an enzymatic method (MolYsis, 1–5 ml), the novel non-enzymatic procedure (Polaris, 1–5 ml), and a method that does not entail removal of human DNA (Triton-Tris-EDTA EasyMAG, 200 µl). These methods were evaluated by processing blood spiked with 0–1000 CFU/ml of Staphylococcus aureus, Pseudomonas aeruginosa and Candida albicans. Downstream detection was performed with real-time PCR assays. Polaris and MolYsis processing followed by real-time PCRs enabled pathogen detection at clinically relevant concentrations of 1–10 CFU/ml blood. By increasing sample volumes, concurrent lower cycle threshold (Ct) values were obtained at clinically relevant pathogen concentrations, demonstrating the benefit of using larger blood volumes. A 100% detection rate at a concentration of 10 CFU/ml for all tested pathogens was obtained with the Polaris enrichment, whereas comparatively lower detection rates were measured for MolYsis (50–67%) and EasyMAG (58–79%). For the samples with a concentration of 1 CFU/ml Polaris resulted in most optimal detection rates of 70–75% (MolYsis 17–50% and TTE-EasyMAG 20–36%). The Polaris method was more reproducible, less labour intensive, and faster (45 minutes (including Qiagen DNA extraction) vs. 2 hours (MolYsis)). In conclusion, Polaris and MolYsis enrichment followed by DNA isolation and real-time PCR enables reliable and sensitive detection of bacteria and fungi from 5 ml blood. With Polaris results are available within 3 hours, showing potential for improved BSI diagnostics.     

Effect of Antimicrobial Consumption and Production Type on Antibacterial Resistance in the Bovine Respiratory and Digestive Tract

The aim of this study was to investigate the relationship between antimicrobial use and the occurrence of antimicrobial resistance in the digestive and respiratory tract in three different production systems of food producing animals. A longitudinal study was set up in 25 Belgian bovine herds (10 dairy, 10 beef, and 5 veal herds) for a 2 year monitoring of antimicrobial susceptibilities in E. coli and Pasteurellaceae retrieved from the rectum and the nasal cavity, respectively. During the first year of observation, the antimicrobial use was prospectively recorded on 15 of these farms (5 of each production type) and transformed into the treatment incidences according to the (animal) defined daily dose (TI_ADD) and (actually) used daily dose (TI_UDD). Antimicrobial resistance rates of 4,174 E. coli (all herds) and 474 Pasteurellaceae (beef and veal herds only) isolates for 12 antimicrobial agents demonstrated large differences between intensively reared veal calves (abundant and inconstant) and more extensively reared dairy and beef cattle (sparse and relatively stable). Using linear mixed effect models, a strong relation was found between antimicrobial treatment incidences and resistance profiles of 1,639 E. coli strains (p<0.0001) and 309 Pasteurellaceae (p≤0.012). These results indicate that a high antimicrobial selection pressure, here found to be represented by low dosages of oral prophylactic and therapeutic group medication, converts not only the commensal microbiota from the digestive tract but also the opportunistic pathogenic bacteria in the respiratory tract into reservoirs of multi-resistance.