Structural basis of the differential stability and receptor specificity of H-2Db in complex with murine versus human beta2-microglobulin

beta(2)-Microglobulin (beta(2)m) is non-covalently linked to the major histocompatibility complex (MHC) class I heavy chain and interacts with CD8 and Ly49 receptors. Murine MHC class I heavy chains can bind human beta(2)m (hbeta(2)m) and peptide, and such hybrid molecules are often used in structural and functional studies. The replacement of mouse beta(2)m (mbeta(2)m) with hbeta(2)m has several functional consequences for MHC class I complex stability and specificity, but the structural basis for this is presently unknown. To investigate the impact of species-specific beta(2)m subunits on MHC class I conformation, we provide a crystallographic comparison of H-2D(b) in complex with LCMV-derived gp33 peptide and either hbeta(2)m or mbeta(2)m. The conformation of the gp33 peptide is not affected by the beta(2)m species. Comparison of the interface between beta(2)m and the alpha(1)alpha(2) domains of the heavy chain in these two crystal structures reveals a marked increase in both polarity and number of hydrogen bonds between hbeta(2)m and the alpha(1)alpha(2) domains of H-2D(b). We propose that the positioning of two hydrogen bond rich regions at the hbeta(2)m/alpha(1)alpha(2) interface plays a central role in the increased overall stability and peptide exchange capacity in the H-2D(b)/hbeta(2)m complex. These two regions act as bridges, holding and stabilizing the underside of the alpha(1) and alpha(2) helices, enabling a prolonged peptide-receptive conformation of the peptide binding cleft. Furthermore, analysis of H-2D(b) in complex with either mbeta(2)m or hbeta(2)m provides a structural explanation for the differential binding of H-2D(b)/hbeta(2)m to both Ly49A and Ly49C. Our comparative structural study emphasizes the importance of beta(2)m residues at positions 3, 6 and 29 for binding to Ly49A and suggests that sterical hindrance by residue K6 on hbeta(2)m impairs the recognition of Ly49C by H-2D(b)/gp33/hbeta(2)m. Finally, comparison of the two H-2D(b) crystal structures implies that the beta(2)m species may affect the strength of TCR recognition by affecting CD8 binding.     

Single and combined genotoxic and cytotoxic effects of two xenobiotics widely used in intensive aquaculture

Several chemicals are used in aquaculture to prevent or to treat disease outbreaks. These substances are mainly administered by two different routes: by prolonged immersion or by mixing into the diet. In the case of intensive aquaculture, the chemicals that are most frequently applied by immersion are formaldehyde (FA) 37% and oxytetracycline (OTC). The first is highly effective against most protozoa, as well as some of the most common parasites such as monogenetic trematodes. OTC presents a large spectrum of antibacterial activities and is used to treat systemic bacterial infections that affect fish. Under therapeutic use, FA (37%) is applied prophylactically at 200ml/m(3), whereas OTC is used curatively at 40g/m(3). The goal of the present study is to assess genotoxic and cytotoxic effects associated with exposure of the European sea bass (Dicentrarchus labrax) to FA37% and OTC under the same conditions as those applied in intensive aquaculture systems. To this end the micronucleus (MN) assay was applied in erythrocytes. Our results show that both tested chemicals present genotoxic and cytotoxic potential following a time-dependent pattern. Remarkably, the combined treatment induces a cumulative effect, which is particularly pronounced after 15 days of exposure. This suggests the critical hazards associated with exposure to FA and OTC when applied or released together.     

Host ecotype generates evolutionary and epidemiological divergence across a pathogen metapopulation

The extent and speed at which pathogens adapt to host resistance varies considerably. This presents a challenge for predicting when—and where—pathogen evolution may occur. While gene flow and spatially heterogeneous environments are recognized to be critical for the evolutionary potential of pathogen populations, we lack an understanding of how the two jointly shape coevolutionary trajectories between hosts and pathogens. The rust pathogen Melampsora lini infects two ecotypes of its host plant Linum marginale that occur in close proximity yet in distinct populations and habitats. In this study, we found that within-population epidemics were different between the two habitats. We then tested for pathogen local adaptation at host population and ecotype level in a reciprocal inoculation study. Even after controlling for the effect of spatial structure on infection outcome, we found strong evidence of pathogen adaptation at the host ecotype level. Moreover, sequence analysis of two pathogen infectivity loci revealed strong genetic differentiation by host ecotype but not by distance. Hence, environmental variation can be a key determinant of pathogen population genetic structure and coevolutionary dynamics and can generate strong asymmetry in infection risks through space.     

The basic keratin 10-binding domain of the virulence-associated pneumococcal serine-rich protein PsrP adopts a novel MSCRAMM fold

Streptococcus pneumoniae is a major human pathogen, and a leading cause of disease and death worldwide. Pneumococcal invasive disease is triggered by initial asymptomatic colonization of the human upper respiratory tract. The pneumococcal serine-rich repeat protein (PsrP) is a lung-specific virulence factor whose functional binding region (BR) binds to keratin-10 (KRT10) and promotes pneumococcal biofilm formation through self-oligomerization. We present the crystal structure of the KRT10-binding domain of PsrP (BR_187–385) determined to 2.0 Å resolution. BR_187–385 adopts a novel variant of the DEv-IgG fold, typical for microbial surface components recognizing adhesive matrix molecules adhesins, despite very low sequence identity. An extended β-sheet on one side of the compressed, two-sided barrel presents a basic groove that possibly binds to the acidic helical rod domain of KRT10. Our study also demonstrates the importance of the other side of the barrel, formed by extensive well-ordered loops and stabilized by short β-strands, for interaction with KRT10.     

Increasing calling accuracy,coverage, and read-depth in sequence data by the use of haplotype blocks

High-throughput genotyping of large numbers of lines remains a key challenge in plant genetics, requiring geneticists and breeders to find a balance between data quality and the number of genotyped lines under a variety of different existing genotyping technologies when resources are limited. In this work, we are proposing a new imputation pipeline (“HBimpute”) that can be used to generate high-quality genomic data from low read-depth whole-genome-sequence data. The key idea of the pipeline is the use of haplotype blocks from the software HaploBlocker to identify locally similar lines and subsequently use the reads of all locally similar lines in the variant calling for a specific line. The effectiveness of the pipeline is showcased on a dataset of 321 doubled haploid lines of a European maize landrace, which were sequenced at 0.5X read-depth. The overall imputing error rates are cut in half compared to state-of-the-art software like BEAGLE and STITCH, while the average read-depth is increased to 83X, thus enabling the calling of copy number variation. The usefulness of the obtained imputed data panel is further evaluated by comparing the performance of sequence data in common breeding applications to that of genomic data generated with a genotyping array. For both genome-wide association studies and genomic prediction, results are on par or even slightly better than results obtained with high-density array data (600k). In particular for genomic prediction, we observe slightly higher data quality for the sequence data compared to the 600k array in the form of higher prediction accuracies. This occurred specifically when reducing the data panel to the set of overlapping markers between sequence and array, indicating that sequencing data can benefit from the same marker ascertainment as used in the array process to increase the quality and usability of genomic data.