Insect pathogens as biological control agents: back to the future

The development and use of entomopathogens as classical, conservation and augmentative biological control agents have included a number of successes and some setbacks in the past 15 years. In this forum paper we present current information on development, use and future directions of insect-specific viruses, bacteria, fungi and nematodes as components of integrated pest management strategies for control of arthropod pests of crops, forests, urban habitats, and insects of medical and veterinary importance. Insect pathogenic viruses are a fruitful source of MCAs, particularly for the control of lepidopteran pests. Most research is focused on the baculoviruses, important pathogens of some globally important pests for which control has become difficult due to either pesticide resistance or pressure to reduce pesticide residues. Baculoviruses are accepted as safe, readily mass produced, highly pathogenic and easily formulated and applied control agents. New baculovirus products are appearing in many countries and gaining an increased market share. However, the absence of a practical in vitro mass production system, generally higher production costs, limited post application persistence, slow rate of kill and high host specificity currently contribute to restricted use in pest control. Overcoming these limitations are key research areas for which progress could open up use of insect viruses to much larger markets. A small number of entomopathogenic bacteria have been commercially developed for control of insect pests. These include several Bacillus thuringiensis sub-species, Lysinibacillus (Bacillus) sphaericus, Paenibacillus spp. and Serratia entomophila. B. thuringiensis sub-species kurstaki is the most widely used for control of pest insects of crops and forests, and B. thuringiensis sub-species israelensis and L. sphaericus are the primary pathogens used for medically important pests including dipteran vectors,. These pathogens combine the advantages of chemical pesticides and microbial control agents (MCAs): they are fast acting, easy to produce at a relatively low cost, easy to formulate, have a long shelf life and allow delivery using conventional application equipment and systemics (i.e. in transgenic plants). Unlike broad spectrum chemical pesticides, B. thuringiensis toxins are selective and negative environmental impact is very limited. Of the several commercially produced MCAs, B. thuringiensis (Bt) has more than 50% of market share. Extensive research, particularly on the molecular mode of action of Bt toxins, has been conducted over the past two decades. The Bt genes used in insect-resistant transgenic crops belong to the Cry and vegetative insecticidal protein families of toxins. Bt has been highly efficacious in pest management of corn and cotton, drastically reducing the amount of broad spectrum chemical insecticides used while being safe for consumers and non-target organisms. Despite successes, the adoption of Bt crops has not been without controversy. Although there is a lack of scientific evidence regarding their detrimental effects, this controversy has created the widespread perception in some quarters that Bt crops are dangerous for the environment. In addition to discovery of more efficacious isolates and toxins, an increase in the use of Bt products and transgenes will rely on innovations in formulation, better delivery systems and ultimately, wider public acceptance of transgenic plants expressing insect-specific Bt toxins. Fungi are ubiquitous natural entomopathogens that often cause epizootics in host insects and possess many desirable traits that favor their development as MCAs. Presently, commercialized microbial pesticides based on entomopathogenic fungi largely occupy niche markets. A variety of molecular tools and technologies have recently allowed reclassification of numerous species based on phylogeny, as well as matching anamorphs (asexual forms) and teleomorphs (sexual forms) of several entomopathogenic taxa in the Phylum Ascomycota. Although these fungi have been traditionally regarded exclusively as pathogens of arthropods, recent studies have demonstrated that they occupy a great diversity of ecological niches. Entomopathogenic fungi are now known to be plant endophytes, plant disease antagonists, rhizosphere colonizers, and plant growth promoters. These newly understood attributes provide possibilities to use fungi in multiple roles. In addition to arthropod pest control, some fungal species could simultaneously suppress plant pathogens and plant parasitic nematodes as well as promote plant growth. A greater understanding of fungal ecology is needed to define their roles in nature and evaluate their limitations in biological control. More efficient mass production, formulation and delivery systems must be devised to supply an ever increasing market. More testing under field conditions is required to identify effects of biotic and abiotic factors on efficacy and persistence. Lastly, greater attention must be paid to their use within integrated pest management programs; in particular, strategies that incorporate fungi in combination with arthropod predators and parasitoids need to be defined to ensure compatibility and maximize efficacy. Entomopathogenic nematodes (EPNs) in the genera Steinernema and Heterorhabditis are potent MCAs. Substantial progress in research and application of EPNs has been made in the past decade. The number of target pests shown to be susceptible to EPNs has continued to increase. Advancements in this regard primarily have been made in soil habitats where EPNs are shielded from environmental extremes, but progress has also been made in use of nematodes in above-ground habitats owing to the development of improved protective formulations. Progress has also resulted from advancements in nematode production technology using both in vivo and in vitro systems; novel application methods such as distribution of infected host cadavers; and nematode strain improvement via enhancement and stabilization of beneficial traits. Innovative research has also yielded insights into the fundamentals of EPN biology including major advances in genomics, nematode-bacterial symbiont interactions, ecological relationships, and foraging behavior. Additional research is needed to leverage these basic findings toward direct improvements in microbial control

CSF glial markers are elevated in a subset of patients with genetic frontotemporal dementia

Background: Neuroinflammation has been shown to be an important pathophysiological disease mechanism in frontotemporal dementia (FTD). This includes activation of microglia, a process that can be measured in life through assaying different glia-derived biomarkers in cerebrospinal fluid. However, only a few studies so far have taken place in FTD, and even fewer focusing on the genetic forms of FTD. Methods: We investigated the cerebrospinal fluid concentrations of TREM2, YKL-40 and chitotriosidase using immunoassays in 183 participants from the Genetic FTD Initiative (GENFI) study: 49 C9orf72 (36 presymptomatic, 13 symptomatic), 49 GRN (37 presymptomatic, 12 symptomatic) and 23 MAPT (16 presymptomatic, 7 symptomatic) mutation carriers and 62 mutation-negative controls. Concentrations were compared between groups using a linear regression model adjusting for age and sex, with 95% bias-corrected bootstrapped confidence intervals. Concentrations in each group were correlated with the Mini-Mental State Examination (MMSE) score using non-parametric partial correlations adjusting for age. Age-adjusted z-scores were also created for the concentration of markers in each participant, investigating how many had a value above the 95th percentile of controls. Results: Only chitotriosidase in symptomatic GRN mutation carriers had a concentration significantly higher than controls. No group had higher TREM2 or YKL-40 concentrations than controls after adjusting for age and sex. There was a significant negative correlation of chitotriosidase concentration with MMSE in presymptomatic GRN mutation carriers. In the symptomatic groups, for TREM2 31% of C9orf72, 25% of GRN, and 14% of MAPT mutation carriers had a concentration above the 95th percentile of controls. For YKL-40 this was 8% C9orf72, 8% GRN and 0% MAPT mutation carriers, whilst for chitotriosidase it was 23% C9orf72, 50% GRN, and 29% MAPT mutation carriers. Conclusions: Although chitotriosidase concentrations in GRN mutation carriers were the only significantly raised glia-derived biomarker as a group, a subset of mutation carriers in all three groups, particularly for chitotriosidase and TREM2, had elevated concentrations. Further work is required to understand the variability in concentrations and the extent of neuroinflammation across the genetic forms of FTD. However, the current findings suggest limited utility of these measures in forthcoming trials

The association of Working Alliance and Classroom Adjustment for Students with Emotional and Behavioral Disorders

Teacher-student relationships can influence the academic, social, and behavioral adjustment of children and youth. Students with emotional/behavioral disorders (EBD) experience poor quality relationships with teachers. The current study explores the importance of working alliance (i.e., agreement on tasks and goals, bond) among teachers and their students. Seventy-six teacher-student dyads completed measures of classroom working alliance, perceptions of the student-teacher relationship, student engagement, and student behavior (i.e., externalizing and internalizing behavior). Findings indicated that (a) students and teachers have weak agreement about the quality of their alliance, (b) working alliance was associated with student engagement, and (c) students’ externalizing symptomology predicted teacher ratings of alliance. Interpretation of these findings, study limitations, and suggestions for future research and practice are discussed

Community Conversations: Finding solutions to increase employment for individuals with intellectual and developmental disabilities

This study describes the implementation and findings of a pilot community conversations event in the state of Oregon to identify innovative solutions to under- and unemployment experienced by individuals with intellectual and developmental disabilities (IDD). The event was facilitated in partnership with the University of Oregon UCEDD, local Arc chapter, and other relevant community stakeholders. A total of 36 diverse individuals (e.g., school personnel, business owners, individuals with IDD, and caregivers of individuals with IDD) participated in a two-hour community conversations event about how to improve employment opportunities for those experiencing IDD. Participants engaged in discussions about solutions to employment challenges and completed a pre-post event survey about their experience at the event. Results from the survey and future considerations for additional community conversations are discussed

Behavioral Telehealth Consultation with Families of Children with Autism Spectrum Disorder

In this study, desktop video teleconferencing was used to facilitate behavioral consultation at a distance with three parents of school‐age children with autism spectrum disorders. Parents were supported via desktop video teleconferencing as they conducted functional analyses and learned to implement an antecedent manipulation strategy, functional communication training, and a consequence‐based strategy. Parents then conducted a brief multi‐element treatment comparison to evaluate the preliminary effectiveness of each intervention strategy on their child\u27s challenging behavior. The results of this study provide additional support to previous research suggesting that a telehealth model of behavioral consultation may be an effective way to assist parents of children with autism spectrum disorders address challenging behavior that disrupts family routines. Suggestions for future research are discussed. Copyright © 2016 John Wiley & Sons, Ltd

A Systematic Review of Asynchronous Online Learning Opportunities for Paraeducators.

Due to a variety of factors, many paraeducators receive little to no opportunities to advance their professional skills. Asynchronous online learning opportunities offer a flexible way for districts to provide paraeducators opportunities to advance their knowledge, although little is known about what online resources are available, their features, or their overall quality. A review was conducted of 19 freely available online learning opportunities to evaluate features, alignment with federal legislation and professional standards, active engagement features, and usability. Results indicated that features and quality indicators varied across resources and half of the resources required active user engagement. Limitations, suggestions for future development, and future research directions are discussed with an emphasis on factors related to online delivery

Promoting Inclusion Through Evidence-Based Alternatives to Restraint and Seclusion

The use of restraint and seclusion in schools has been identified repeatedly as an approach that is overused, misused, and potentially dangerous. In this article, we emphasize the importance of an approach to supporting students with significant problem behavior that focuses on prevention, evidence-based intervention procedures, heightened levels of monitoring, and documented professional development. While the need for the use of restraint in emergency conditions will remain, the overall rate at which restraint and seclusion are used needs to be reduced and the quality of support for students with significant problem behavior needs to improve. An example of one district that is adopting a comprehensive alternative approach is provided

When Computers Decide:European Recommendations on Machine-Learned Automated Decision Making

Over the past two decades, the ability of machines to challenge and beat humans at complex games has made “quantum” leaps, rhetorically if not in technical computing terms. In 1997, IBM's Deep Blue supercomputer used “brute force” computing power to out-calculate Grand Master Garry Kasparov at chess. In 2011, the company's Watson employed “machine learning” (ML) techniques to beat several former Jeopardy champions at their own game. In early 2016, Google's DeepMind AlphaGo program-trained by a massive game history-repeatedly defeated the reigning European champion at Go: a game that has more possible board configurations than there are atoms in the universe [1]. It reached this milestone by employing two neural networks powered by sophisticated “automated decision making” (ADM) algorithms. And, in 2017, AlphaGo Zero became the strongest Go player on the planethuman or machineafter just a few months of game-play training alone. Incredibly, it was programmed initially only with the rules of the game [2]. Automated decision making concerns decision making by purely technological means without human involvement. Article 22(1) of the European General Data Protection Regulation (GDPR) enshrines the right of data subjects not to be subject to decisions, which have legal or other significant effects, being based solely on automatic individual decision making. As a consequence, in this paper we consider applications of ADM to applications other than those based on personal information, for example the game-playing discussed above. We discuss other aspects of GDPR later in the paper. Whilst the game-playing results are impressive, the consequences of machine learning and automated decision making are themselves, however, no game. As of this writing, they have progressed to enable computers to rival humans' ability at even more challenging, ambiguous, and highly skilled tasks with profound “real world” applications, such as: recognizing images, understanding speech, and analysing X-rays among many others. As these techniques continue to improve rapidly, many new and established companies are utilizing them to build applications that reliably perform activities that previously were done (and doable) only by people. Today, such systems can both augment human decision making and, in some cases, replace it with a fully autonomous system. In this report, we review the principal implications of the coming widespread adoption of MLdriven automated decision making with a particular emphasis on its technical, ethical, legal, economic, societal and educational ramifications. We also make a number of recommendations that policy makers might wish to consider

Norse fairy tales : selected & adapted from the translations by Sir George Webbe Dasent /

Title on frontispiece: Tales from the Norse.Selections from: Popular tales from the Norse and Tales from the fjeld, which are translations of Norske folke-eventyr, collected by Asbjørnsen and Moe.Mode of access: Internet.In original dust jacket.From the Janice Dohm Collection

β-Amyloid Induces Oxidative DNA Damage and Cell Death through Activation of c-Jun N Terminal Kinase

Oxidative stress induced by reactive oxygen species has been implicated in the pathophysiology of many neurodegenerative disorders including Alzheimer's disease (AD). In this study, we have investigated the molecular mechanisms underlying oxidative cell death induced by beta-amyloid, a neurotoxic peptide associated with senile plaques found in the brains of patients with AD. PC12 cells treated with P-amyloid underwent apoptotic cell death as determined by characteristic morphological features, cleavage of poly(ADPribose)polymerase, and positive in situ terminal-end labeling (TUNEL). Furthermore, beta-amyloid treatment led to activation of c-Jun N terminal kinase (JNK) and intracellular accumulation of ROS. In another experiment, beta-amyloid caused strand scission in phiX174 DNA in the presence of ferrous iron. These findings suggest that production of ROS and subsequent activation of JNK play an important role in beta-amyloid-induced apoptotic cell death.N