Mit Dampf zu gesundem Saatgut

Mit Dampf zu gesundem Gemüsesaatgut? Werner E. Heller und Elisabeth Razavi, Forschungsanstalt Agroscope Changins-Wädenswil ACW, 8820 Wädenswil Für das Gelingen jeder Gemüsekultur ist die Gesundheit des Saatgutes von ausschlaggebender Bedeutung. Unter Gesundheit wird eine hohe biologische Qualität, das heisst eine gute Keimfähigkeit und Triebkraft, zusätzlich aber auch die Freiheit von Krankheitserregern verstanden. Es ist aber hinlänglich belegt, dass viele Krankheitserreger von Gemüsekulturen mit dem Saatgut übertragen werden können und dass kontaminiertes Saatgut auf dem Markt angeboten wird. Durch eine Desinfektion mit belüftetem Dampf während einer relativ kurzen Zeitspanne kann beim Saatgut vieler Gemüsearten eine signifikante Reduktion des Kontaminationsgrades mit pathogenen Keimen erreicht werden, ohne dass die Keimfähigkeit wesentlich beeinflusst wird. Wegen der kurzen Behandlungszeit dringt nur wenig Wasser in die Samenkörner ein, was zu einem nur kurzen Nachtrocknungsprozess mit relativ geringen Enegiekosten führt

Discovery of a novel integron-borne aminoglycoside resistance gene present in clinical pathogens by screening environmental bacterial communities

Background New antibiotic resistance determinants are generally discovered too late, long after they have irreversibly emerged in pathogens and spread widely. Early discovery of resistance genes, before or soon after their transfer to pathogens could allow more effective measures to monitor and reduce spread, and facilitate genetics-based diagnostics. Results We modified a functional metagenomics approach followed by in silico filtering of known resistance genes to discover novel, mobilised resistance genes in class 1 integrons in wastewater-impacted environments. We identified an integron-borne gene cassette encoding a protein that conveys high-level resistance against aminoglycosides with a garosamine moiety when expressed in E. coli. The gene is named gar (garosamine-specific aminoglycoside resistance) after its specificity. It contains none of the functional domains of known aminoglycoside modifying enzymes, but bears characteristics of a kinase. By searching public databases, we found that the gene occurs in three sequenced, multi-resistant clinical isolates (two Pseudomonas aeruginosa and one Luteimonas sp.) from Italy and China, respectively, as well as in two food-borne Salmonella enterica isolates from the USA. In all cases, gar has escaped discovery until now. Conclusion To the best of our knowledge, this is the first time a novel resistance gene, present in clinical isolates, has been discovered by exploring the environmental microbiome. The gar gene has spread horizontally to different species on at least three continents, further limiting treatment options for bacterial infections. Its specificity to garosamine-containing aminoglycosides may reduce the usefulness of the newest semisynthetic aminoglycoside plazomicin, which is designed to avoid common aminoglycoside resistance mechanisms. Since the gene appears to be not yet common in the clinics, the data presented here enables early surveillance and maybe even mitigation of its spread.publishedVersio

Applying deep neural networks to predict incidence and phenology of plant pests and diseases

A major challenge of agriculture is to improve the sustainability of food production systems in order to provide enough food for a growing human population. Pests and pathogens cause vast yield losses, while crop protection practices raise environmental and human health concerns. Decision support systems provide detailed information on optimal timing and necessity of crop protection interventions, but are often based on phenology models that are time-, cost-, and labor-intensive in development. Here, we aim to develop a data-driven approach for pest damage forecasting, relying on big data and deep learning algorithms. We present a framework for the development of deep neural networks for pest and pathogen damage classification and show their potential for predicting the phenology of damages. As a case study, we investigate the phenology of the pear leaf blister moth (Leucoptera malifoliella, Costa). We employ a set of 52,322 pictures taken during a period of 19 weeks and establish deep neural networks to categorize the images into six main damage classes. Classification tools achieved good performance scores overall, with differences between the classes indicating that the performance of deep neural networks depends on the similarity to other damages and the number of training images. The reconstructed damage phenology of the pear leaf blister moth matches mine counts in the field. We further develop statistical models to reconstruct the phenology of damages with meteorological data and find good agreement with degree-day models. Hence, our study indicates a yet underexploited potential for data-driven approaches to enhance the versatility and cost efficiency of plant pest and disease forecasting

ICER Reverses Tumorigenesis of Rat Prostate Tumor Cells without affecting Cell Growth

BACKGROUND. Inducible cAMP early repressor (ICER) is an important mediator of cAMP antiproliferative activity that acts as a putative tumor suppressor gene product. ICER is a transcriptional repressor that negatively regulates cAMP-mediated gene expression. Here, we report the effect of ectopically increasing the expression of ICER on in vitro and in vivo proliferation of the highly metastatic and androgen-insensitive AT6.3 rat prostate cells. METHODS. The proliferative potential of stable AT6.3 cell clones expressing ICER was studied by cell counts, thymidine incorporation, flow cytometry, colony formation in soft agar, and growth in immunodeficient nude mice. RESULTS. cAMP inhibits the growth of AT6.3 cells. ICER mRNA and protein levels were markedly induced by cAMP in AT6.3 cells. Forced expression of ICER in AT6.3 cells did not affect cell growth, thymidine incorporation, or the cell cycle. However, these ICER-bearing AT6.3 cells were rendered unable to grow in soft agar or to form tumors in nude mice. CONCLUSION. These results show that ICER specifically affects the tumorigenicity of prostate cancer cell without affecting their growth. Therefore, the manipulation of ICER expression could be used for the treatment of androgen-insensitive prostate tumors without causing undesirable toxicity to the cells

Efficacy of a hypnosis-based intervention to improve well-being during cancer: a comparison between prostate and breast cancer patients

Background: Prostate and breast cancer can have a lot of negative consequences such as fatigue, sleep difficulties and emotional distress, which decrease quality of life. Group interventions showed benefits to emotional distress and fatigue, but most of these studies focus on breast cancer patients. However, it is important to test if an effective intervention for breast cancer patients could also have benefits for prostate cancer patients. Methods: Our controlled study aimed to compare the efficacy of a self-hypnosis/self-care group intervention to improve emotional distress, sleep difficulties, fatigue and quality of life of breast and prostate cancer patients. 25 men with prostate cancer and 68 women with breast cancer participated and were evaluated before (T0) and after (T1) the intervention. Results: After the intervention, the breast cancer group showed positive effects for anxiety, depression, fatigue, sleep difficulties, and global health status, whereas there was no effect in the prostate cancer group. We showed that women suffered from higher difficulties prior to the intervention and that their oncological treatments were different in comparison to men. Conclusion: The differences in the efficacy of the intervention could be explained by the baseline differences. As men in our sample reported few distress, fatigue or sleep problems, it is likely that they did not improve on these dimensions. Trial registration:ClinicalTrials.gov( NCT02569294and NCT03423927 ). Retrospectively registered in October 2015 and February 2018 respectively.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

A Novel, Integron-Regulated, Class C β-Lactamase

AmpC-type β-lactamases severely impair treatment of many bacterial infections, due to their broad spectrum (they hydrolyze virtually all β-lactams, except fourth-generation cephalosporins and carbapenems) and the increasing incidence of plasmid-mediated versions. The original chromosomal AmpCs are often tightly regulated, and their expression is induced in response to exposure to β-lactams. Regulation of mobile ampC expression is in many cases less controlled, giving rise to constitutively resistant strains with increased potential for development or acquisition of additional resistances. We present here the identification of two integron-encoded ampC genes, blaIDC-1 and blaIDC-2 (integron-derived cephalosporinase), with less than 85% amino acid sequence identity to any previously annotated AmpC. While their resistance pattern identifies them as class C β-lactamases, their low isoelectric point (pI) values make differentiation from other β-lactamases by isoelectric focusing impossible. To the best of our knowledge, this is the first evidence of an ampC gene cassette within a class 1 integron, providing a mobile context with profound potential for transfer and spread into clinics. It also allows bacteria to adapt expression levels, and thus reduce fitness costs, e.g., by cassette-reshuffling. Analyses of public metagenomes, including sewage metagenomes, show that the discovered ampCs are primarily found in Asian countries

Discovery of a novel integron-borne aminoglycoside resistance gene present in clinical pathogens by screening environmental bacterial communities

Background New antibiotic resistance determinants are generally discovered too late, long after they have irreversibly emerged in pathogens and spread widely. Early discovery of resistance genes, before or soon after their transfer to pathogens could allow more effective measures to monitor and reduce spread, and facilitate genetics-based diagnostics. Results We modified a functional metagenomics approach followed by in silico filtering of known resistance genes to discover novel, mobilised resistance genes in class 1 integrons in wastewater-impacted environments. We identified an integron-borne gene cassette encoding a protein that conveys high-level resistance against aminoglycosides with a garosamine moiety when expressed in E. coli. The gene is named gar (garosamine-specific aminoglycoside resistance) after its specificity. It contains none of the functional domains of known aminoglycoside modifying enzymes, but bears characteristics of a kinase. By searching public databases, we found that the gene occurs in three sequenced, multi-resistant clinical isolates (two Pseudomonas aeruginosa and one Luteimonas sp.) from Italy and China, respectively, as well as in two food-borne Salmonella enterica isolates from the USA. In all cases, gar has escaped discovery until now. Conclusion To the best of our knowledge, this is the first time a novel resistance gene, present in clinical isolates, has been discovered by exploring the environmental microbiome. The gar gene has spread horizontally to different species on at least three continents, further limiting treatment options for bacterial infections. Its specificity to garosamine-containing aminoglycosides may reduce the usefulness of the newest semisynthetic aminoglycoside plazomicin, which is designed to avoid common aminoglycoside resistance mechanisms. Since the gene appears to be not yet common in the clinics, the data presented here enables early surveillance and maybe even mitigation of its spread