Natural variation reveals key amino acids in a downy mildew effector that alters recognition specificity by an Arabidopsis resistance gene

RPP13, a member of the cytoplasmic class of disease resistance genes, encodes one of the most variable Arabidopsis proteins so far identified. This variability is matched in ATR13, the protein from the oomycete downy mildew pathogen Hyaloperonospora parasitica recognized by RPP13, suggesting that these proteins are involved in tight reciprocal coevolution. ATR13 exhibits five domains: an N-terminal signal peptide, an RXLR motif, a heptad leucine/isoleucine repeat, an 11-amino-acid repeated sequence and a C-terminal domain. We show that the conserved RXLR-containing domain is dispensable for ATR13-mediated recognition, consistent with its role in transport into the plant cytoplasm. Sequencing ATR13 from 16 isolates of H. parasitica revealed high levels of amino acid diversity across the entire protein. The leucines/isoleucines of the heptad leucine repeat were conserved, and mutation of particular leucine or isoleucine residues altered recognition by RPP13. Natural variation has not exploited this route to detection avoidance, suggesting a key role of this domain in pathogenicity. The extensive variation in the 11-amino-acid repeat units did not affect RPP13 recognition. Domain swap analysis showed that recognition specificity lay in the C-terminal domain of ATR13. Variation analyses combined with functional assays allowed the identification of four amino acid positions that may play a role in recognition specificity. Site-directed mutagenesis confirmed that a threonine residue is absolutely required for RPP13 recognition and that recognition can be modulated by the presence of either an arginine or glutamic acid at other sites. Mutations in these three amino acids had no effect on the interaction of ATR13 with a resistance gene unlinked to RPP13, consistent with their critical role in determining RPP13-Nd recognition specificity

Scientific Reports / Janus-faced Acrolein prevents allergy but accelerates tumor growth by promoting immunoregulatory Foxp3+ cells: Mouse model for passive respiratory exposure

Acrolein, a highly reactive unsaturated aldehyde, is generated in large amounts during smoking and is best known for its genotoxic capacity. Here, we aimed to assess whether acrolein at concentrations relevant for smokers may also exert immunomodulatory effects that could be relevant in allergy or cancer. In a BALB/c allergy model repeated nasal exposure to acrolein abrogated allergen-specific antibody and cytokine formation, and led to a relative accumulation of regulatory T cells in the lungs. Only the acrolein-treated mice were protected from bronchial hyperreactivity as well as from anaphylactic reactions upon challenge with the specific allergen. Moreover, grafted D2F2 tumor cells grew faster and intratumoral Foxp3+ cell accumulation was observed in these mice compared to sham-treated controls. Results from reporter cell lines suggested that acrolein acts via the aryl-hydrocarbon receptor which could be inhibited by resveratrol and 3′-methoxy-4′-nitroflavone Acrolein- stimulation of human PBMCs increased Foxp3+ expression by T cells which could be antagonized by resveratrol. Our mouse and human data thus revealed that acrolein exerts systemic immunosuppression by promoting Foxp3+ regulatory cells. This provides a novel explanation why smokers have a lower allergy, but higher cancer risk.(VLID)486818

A Combined Genomewide Linkage Scan of 1,233 Families for Prostate Cancer–Susceptibility Genes Conducted by the International Consortium for Prostate Cancer Genetics

Evidence of the existence of major prostate cancer (PC)–susceptibility genes has been provided by multiple segregation analyses. Although genomewide screens have been performed in over a dozen independent studies, few chromosomal regions have been consistently identified as regions of interest. One of the major difficulties is genetic heterogeneity, possibly due to multiple, incompletely penetrant PC-susceptibility genes. In this study, we explored two approaches to overcome this difficulty, in an analysis of a large number of families with PC in the International Consortium for Prostate Cancer Genetics (ICPCG). One approach was to combine linkage data from a total of 1,233 families to increase the statistical power for detecting linkage. Using parametric (dominant and recessive) and nonparametric analyses, we identified five regions with “suggestive” linkage (LOD score >1.86): 5q12, 8p21, 15q11, 17q21, and 22q12. The second approach was to focus on subsets of families that are more likely to segregate highly penetrant mutations, including families with large numbers of affected individuals or early age at diagnosis. Stronger evidence of linkage in several regions was identified, including a “significant” linkage at 22q12, with a LOD score of 3.57, and five suggestive linkages (1q25, 8q13, 13q14, 16p13, and 17q21) in 269 families with at least five affected members. In addition, four additional suggestive linkages (3p24, 5q35, 11q22, and Xq12) were found in 606 families with mean age at diagnosis of ⩽65 years. Although it is difficult to determine the true statistical significance of these findings, a conservative interpretation of these results would be that if major PC-susceptibility genes do exist, they are most likely located in the regions generating suggestive or significant linkage signals in this large study