Stress response of RsbR protein paralogs in Bacillus subtilis under 1M sodium stress

Stress is a universal phenomenon, and all organisms need a way to cope with it. The Model bacterium Bacillus subtilis has a complex of proteins known as a stressosome that is responsible for sensing stressors in the environment and later promoting a stress response. The protein the we believe to be responsible for sensing stress is known as RsbR. The RsbR protein has 4 variants or paralogs that we know, when given identical stressors, promote different responses. However we did not know which paralog promoted the best overall fitness. We found that in 1M sodium stress, RsbRD showed the highest overall fitness. As we learn more about the stressosome we will be able to determine new and better ways to treat bacterial infections with this mechanism within stressful environments like the human body.Lew Wentz FoundationMicrobiology and Molecular Genetic

Food riots as representations of insecurity : examining the relationship between contentious politics and human security

The 2007–08 global food crisis saw the eruption of a wave of contentious action across the developing world, represented most clearly by the food riot. Food riots are sudden, unexpected events, presenting a challenge to the state that moves beyond simple demands for food. The upheaval caused by a food riot can lead to lasting instability and violence as social and political structures are challenged. The aims of the article are to: (1) identify the character of contemporary food riots in relation to traditional forms; (2) determine the extent to which food riots can be seen to represent broader human insecurity; and (3) demonstrate the utility of contentious actions in demonstrating insecurity. This article examines the causes of the 2007–08 wave of food riots in relation to earlier manifestations. The findings show that the contemporary food riots have similar origins to their historical counterparts. The article also shows that food riots are a clear sign of insecurity, demonstrating the benefit of examining contentious politics in this context

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe