Quantitative Interactor Screening with next-generation Sequencing (QIS-Seq) identifies Arabidopsis thaliana MLO2 as a target of the Pseudomonas syringae type III effector HopZ2

<p>Abstract</p> <p>Background</p> <p>Identification of protein-protein interactions is a fundamental aspect of understanding protein function. A commonly used method for identifying protein interactions is the yeast two-hybrid system.</p> <p>Results</p> <p>Here we describe the application of next-generation sequencing to yeast two-hybrid interaction screens and develop Quantitative Interactor Screen Sequencing (QIS-Seq). QIS-Seq provides a quantitative measurement of enrichment for each interactor relative to its frequency in the library as well as its general stickiness (non-specific binding). The QIS-Seq approach is scalable and can be used with any yeast two-hybrid screen and with any next-generation sequencing platform. The quantitative nature of QIS-Seq data make it amenable to statistical evaluation, and importantly, facilitates the standardization of experimental design, data collection, and data analysis. We applied QIS-Seq to identify the <it>Arabidopsis thaliana </it>MLO2 protein as a target of the <it>Pseudomonas syringae </it>type III secreted effector protein HopZ2. We validate the interaction between HopZ2 and MLO2 <it>in planta </it>and show that the interaction is required for HopZ2-associated virulence.</p> <p>Conclusions</p> <p>We demonstrate that QIS-Seq is a high-throughput quantitative interactor screen and validate MLO2 as an interactor and novel virulence target of the <it>P. syringae </it>type III secreted effector HopZ2.</p

Australian mental health care practitioners’ practices and attitudes for encouraging smoking cessation and tobacco harm reduction in smokers with severe mental illness

Reducing the burden of physical illness among people living with severe mental illnesses (SMI) is a key priority. Smoking is strongly associated with SMIs resulting in excessive smoking related morbidity and mortality in smokers with SMI. Smoking cessation advice and assistance from mental health practitioners would assist with reducing smoking and smoking-related harms in this group. This study examined the attitudes and practices of Australian mental health practitioners towards smoking cessation and tobacco harm reduction for smokers with SMI, including adherence to the 5As (ask, assess, advise, assist and arrange follow up) of smoking cessation. We surveyed 267 Australian mental health practitioners using a cross-sectional, online survey. Most practitioners (77.5%) asked their clients about smoking and provided health education (66.7%) but fewer provided direct assistance (31.1–39.7%). Most believed that tobacco harm reduction strategies are effective for reducing smoking related risks (88.4%) and that abstinence from all nicotine should not be the only goal discussed with smokers with SMI (77.9%). Many respondents were unsure about the safety (56.9%) and efficacy (39.3%) of e-cigarettes. Practitioners trained in smoking cessation were more likely (OR: 2.9, CI: 1.5–5.9) to help their clients to stop smoking. Community mental health practitioners (OR: 0.3, CI: 0.1–0.9) and practitioners who were current smokers (OR: 0.3, CI: 0.1–0.9) were less likely to adhere to the 5As of smoking cessation intervention. The results of this study emphasize the importance and need for providing smoking cessation training to mental health practitioners especially community mental health practitioners

Australian urban Indigenous smokers' perspectives on nicotine products and tobacco harm reduction

Indigenous Australians experience a significant gap in life expectancy compared with non-Indigenous Australians. Indigenous communities have high-smoking prevalence and low engagement with cessation therapies. This qualitative research, conducted in an urban Australian Indigenous community, explored smokers' views on smoking, quitting and engagement with current nicotine replacement therapies. Opinions on acceptability of tobacco harm reduction were sought. We explored the acceptability of novel nicotine products, that is, new or unfamiliar products, including non-therapeutic options, such as e-cigarettes.Focus groups and individual interviews with adult Indigenous daily smokers (n\ua0=\ua027) were used. Current and novel nicotine products were displayed and demonstrated. Discussions were audio-recorded, transcribed and analysed thematically.Participants expressed interest in trying existing and novel nicotine products. Short-to-medium term use of nicotine replacement therapy for quitting was generally acceptable; views on long-term use were mixed. Interest in use of tobacco substitutes depended on their perceived effectiveness, providing a 'kick' and 'relieving stress'. Desirable qualities for tobacco substitutes were identified with gender differences and product preferences noted. The unpleasant taste of existing products is a barrier to both short-term and long-term use.We found substantial interest in trying some existing and novel nicotine products, mostly for short-term use. A number of attributes were identified that would make nicotine products potentially acceptable as a long-term substitute.Some participants were interested in long-term substitution if acceptable products were available. Improvements in current products and access to novel products are needed if tobacco harm reduction is to be acceptable. [Yuke K, Ford P, Foley W, Mutch A, Fitzgerald L, Gartner C. Australian urban Indigenous smokers' perspectives on nicotine products and tobacco harm reduction. Drug Alcohol Rev 2017;00:000-000]

Post-traumatic stress disorder following childbirth: an update of current issues and recommendations for future research

Objective: This paper aimed to report the current status of research in the field of post-traumatic stress disorder following childbirth (PTSD FC), and to update the findings of an earlier 2008 paper. Background: A group of international researchers, clinicians and service users met in 2006 to establish the state of clinical and academic knowledge relating to PTSD FC. A paper identified four key areas of research knowledge at that time. Methods: Fourteen clinicians and researchers met in Oxford, UK to update the previously published paper relating to PTSD FC. The first part of the meeting focused on updating the four key areas identified previously, and the second part on discussing new and emerging areas of research within the field. Results: A number of advances have been made in research within the area of PTSD FC. Prevalence is well established within mothers, several intervention studies have been published, and there is growing interest in new areas: staff and pathways; prevention and early intervention; impact on families and children; special populations; and post-traumatic growth. Conclusion: Despite progress, significant gaps remain within the PTSD FC knowledge base. Further research continues to be needed across all areas identified in 2006, and five areas were identified which can be seen as ‘new and emerging’. All of these new areas require further extensive research. Relatively little is still known about PTSD FC

Predicting the Spectrum of UGC 2885, Rubin’s Galaxy with Machine Learning

Wu & Peek predict SDSS-quality spectra based on Pan-STARRS broadband grizy images using machine learning (ML). In this article, we test their prediction for a unique object, UGC 2885 ( Rubin\u27s galaxy ), the largest and most massive, isolated disk galaxy in the local universe (D \u3c 100 Mpc). After obtaining the ML predicted spectrum, we compare it to all existing spectroscopic information that is comparable to an SDSS spectrum of the central region: two archival spectra, one extracted from the VIRUS-P observations of this galaxy, and a new, targeted MMT/Binospec observation. Agreement is qualitatively good, though the ML prediction prefers line ratios slightly more toward those of an active galactic nucleus (AGN), compared to archival and VIRUS-P observed values. The MMT/Binospec nuclear spectrum unequivocally shows strong emission lines except Hβ, the ratios of which are consistent with AGN activity. The ML approach to galaxy spectra may be a viable way to identify AGN supplementing NIR colors. How such a massive disk galaxy (M* = 1011 M⊙), which uncharacteristically shows no sign of interaction or mergers, manages to fuel its central AGN remains to be investigated