Using whole genome sequencing to investigate transmission in a multi-host system: bovine tuberculosis in New Zealand.

BACKGROUND: Bovine tuberculosis (bTB), caused by Mycobacterium bovis, is an important livestock disease raising public health and economic concerns around the world. In New Zealand, a number of wildlife species are implicated in the spread and persistence of bTB in cattle populations, most notably the brushtail possum (Trichosurus vulpecula). Whole Genome Sequenced (WGS) M. bovis isolates sourced from infected cattle and wildlife across New Zealand were analysed. Bayesian phylogenetic analyses were conducted to estimate the substitution rate of the sampled population and investigate the role of wildlife. In addition, the utility of WGS was examined with a view to these methods being incorporated into routine bTB surveillance. RESULTS: A high rate of exchange was evident between the sampled wildlife and cattle populations but directional estimates of inter-species transmission were sensitive to the sampling strategy employed. A relatively high substitution rate was estimated, this, in combination with a strong spatial signature and a good agreement to previous typing methods, acts to endorse WGS as a typing tool. CONCLUSIONS: In agreement with the current knowledge of bTB in New Zealand, transmission of M. bovis between cattle and wildlife was evident. Without direction, these estimates are less informative but taken in conjunction with the low prevalence of bTB in New Zealand's cattle population it is likely that, currently, wildlife populations are acting as the main bTB reservoir. Wildlife should therefore continue to be targeted if bTB is to be eradicated from New Zealand. WGS will be a considerable aid to bTB eradication by greatly improving the discriminatory power of molecular typing data. The substitution rates estimated here will be an important part of epidemiological investigations using WGS data.

Course facilitators assisting accelerated nursing students: a literature review.

Nursing education is now well established within the tertiary sector. Globally, recent years have seen the implementation of numerous admission pathways to a nursing degree, enabling applicants from varying backgrounds to enter the nursing profession. A major catalyst for these pathways has been to address the perennial shortage in the nursing workforce. The accelerated pathway is one such admission avenue where students possessing a degree in a discipline other than nursing qualify for admission and complete the degree in a condensed time. Students commence these courses equipped with a skills base developed from life experiences and previous tertiary study. These are used as facilitators throughout accelerated education to enhance course negotiation and performance. Minimal research is available exploring these course facilitators. This literature review examines the existent research to deepen an understanding of these facilitators described as unique to accelerated students. Implications for nursing education and nursing research are discussed.

Technological advances in field studies of pollinator ecology and the future of e-ecology.

Our review looks at recent advances in technologies applied to studying pollinators in the field. These include RFID, radar and lidar for detecting and tracking pollinators; wireless sensor networks (e.g. 'smart' hives); automated visual and audio monitoring systems including vision motion software for monitoring fine-scale pollinator behaviours over extended periods; and automated species identification systems based on machine learning that can vastly reduce the bottleneck in (big) data analysis. An improved e-ecology platform that leverages these tools is needed for ecologists to acquire and understand large spatiotemporal datasets, and thus inform knowledge gaps in environmental policy-making. Developing the next generation of e-ecology tools will require synergistic partnerships between academia and industry and significant investment in a cross-disciplinary scientific consortia.

A prototype RFID tag for detecting bumblebee visitations within fragmented landscapes.

Detecting the arbitrary movements of fast-moving insects under field conditions is notoriously difficult because existing technologies are limited by issues of size, weight, range and cost. Here, we establish proof-of-concept for a prototype long-range, passive radio frequency identification (RFID) tagging system for detecting bumblebees and similar sized insects. The prototype tags, weighing 81 mg (49% of mean bee body weight), were flown by bumblebees in a glasshouse and detected at a distance of 1.5 m from a 2 W UHF reader with two aerials. This detection distance is two orders of magnitude greater than existing RFID tags that can be flown by medium-sized bees and, thus, is a significant breakthrough for insect tracking that could be applied to plant conservation and restoration efforts in fragmented landscapes. Proof-of-concept has been successfully established and, with further development, we are likely to optimize the system by reducing tag size and weight to limit effects on bee behaviour, and by increasing the detection distance. We envisage the production system being used to detect and track bee movement pathways within a designed network of field-deployed low-cost readers and aerials. The production system could be used in a wide variety of scientific and commercial applications.

Using SDS-PAGE gel fingerprinting to identify soft-bodied wood-boring insect larvae to species.

BACKGROUND: This paper describes the progress that we have made in assessing the feasibility of 'fingerprinting' using imaged SDS-PAGE gels of haemolymph proteins, to identify soft-bodied wood-boring insect larvae such as the Asian longhorn beetle, Anoplophora glabripennis (Motscholsky, 1853) (Coleoptera: Cerambycidae). Because of stringent import restrictions and difficulty in obtaining licences to work with these organisms, we opted to work with four species of scarab beetle, Mecynorhina polyphemus (Fabricius, 1781), Pachnoda sinuata (Fabricius, 1775), Eucidella shiratica (Csiki, 1909) and Eucidella shultzeorum (Kolbe, 1906) which have near identical larval morphologies. RESULTS: We show that this technology when combined with an advanced pattern matching system (Digital Automated Identification SYstem - DAISY) can classify soft-bodied insect larvae that are almost identical morphologically to species at a level of accuracy is in excess of 98%. The study also indicates that the technology copes well with noisy data and small training sets. CONCLUSION: The experience gained in undertaking this study gives us confidence that we will be able to develop a field deployable system in the medium term. We believe that as a high-throughput identification tool, this technology is superior to competitor technologies (e.g. fingerprinting of imaged DNA gels) in terms of speed, cost and ease of use; and therefore, is suitable for low-cost deployment in the field. © 2017 Society of Chemical Industry.

Tools and approaches for the construction of knowledge models from the neuroscientific literature.

Within this paper, we describe a neuroinformatics project (called "NeuroScholar," http://www.neuroscholar.org/) that enables researchers to examine, manage, manipulate, and use the information contained within the published neuroscientific literature. The project is built within a multi-level, multi-component framework constructed with the use of software engineering methods that themselves provide code-building functionality for neuroinformaticians. We describe the different software layers of the system. First, we present a hypothetical usage scenario illustrating how NeuroScholar permits users to address large-scale questions in a way that would otherwise be impossible. We do this by applying NeuroScholar to a "real-world" neuroscience question: How is stress-related information processed in the brain? We then explain how the overall design of NeuroScholar enables the system to work and illustrate different components of the user interface. We then describe the knowledge management strategy we use to store interpretations. Finally, we describe the software engineering framework we have devised (called the "View-Primitive-Data Model framework," [VPDMf]) to provide an open-source, accelerated software development environment for the project. We believe that NeuroScholar will be useful to experimental neuroscientists by helping them interact with the primary neuroscientific literature in a meaningful way, and to neuroinformaticians by providing them with useful, affordable software engineering tools.

The seal tuberculosis agent, Mycobacterium pinnipedii, infects domestic cattle in New Zealand: epidemiologic factors and DNA strain typing.

The fur seal (Arctocephalus forsteri), which is abundant in coastal areas of New Zealand, harbors several zoonotic pathogens, including Mycobacterium pinnipedii, a member of the Mycobacterium tuberculosis complex. We describe the microbiology and epidemiology of seven cases of M. pinnipedii infection in beef cattle (Bos primigenius) in coastal areas of New Zealand in 1991-2011. Epidemiologic factors were analyzed on six case farms and a telephone survey of 55 neighboring farms. A DNA-strain typing, using analysis of variable number tandem repeats and the direct repeats (VNTR/DR) of those isolates, was used to compare them to M. bovis isolates commonly found in New Zealand cattle and wildlife. In all cases of M. pinnipedii in cattle, only one animal in the herd was found to be infected. In six of seven cases, the lesions were in the thoracic lymph nodes, indicating a likely aerosol pathway. The lack of multiple cases within a herd suggests that cow-to-cow transmission is uncommon, if it occurs at all. There was no significant difference between case and control farms in distance to sea, herd size, herd type, or farming practice. The odds ratio for access to the beach for cattle on the Chatham Islands was significantly higher than it was for farms on the mainland coastal areas (odds ratio [OR] = 3.6, 95% CI = 1.1-11.4) Likewise, the odds ratio for acquiring tuberculosis was increased when farmers had seen seals on the property (OR =  9, 95% CI = 1.4-56.1 ). In all case farms, cattle had access to seals by beach grazing areas or waterways connecting directly with the ocean. The VNTR/DR typing of the isolates showed some variation in the M. pinnipedii isolates, with only two being identical; all isolates were easily distinguishable from M. bovis isolates.

Evaluation of a commercial enzyme-linked immunosorbent assay for the diagnosis of bovine tuberculosis from milk samples from dairy cows.

Milk samples from dairy cows provide a ready source of material for measuring antibody responses to Mycobacterium bovis antigens. In this study, we evaluated the IDEXX enzyme-linked immunosorbent assay (ELISA) for the measurement of antibody responses to M. bovis antigens MPB70 and MPB83 in milk samples from New Zealand cattle. Test sensitivities for individual milk and serum samples were assessed in samples collected from 44 M. bovis-infected cows, and test specificities were assessed in milk samples collected from 356 cows from tuberculosis (TB)-free herds. Milk vat samples were collected from 505 herds from regions with relatively high or low prevalences of infection. The ELISA had a sensitivity of 50% and a specificity of 97.5% for milk samples, and the test sensitivities for milk and serum samples were the same. Dilution of the positive test milk samples in milk from noninfected cows at 1/10, 1/20, and 1/50 dilutions reduced the proportions of positive responses to 13/21, 9/21, and 4/21, respectively. Small differences were observed in the ELISA responses of milk samples from individual TB-free cows collected at different times during lactation. No significant differences were detected in the ELISA responses of milk vat samples collected from infected and noninfected herds. This study shows that milk samples can be substituted for serum samples for screening individual cows for M. bovis infection, and pooling of milk samples from 10 to 20 animals can result in a reduction in the sensitivity by approximately 50%. However, screening of milk vat samples is unlikely to be useful in countries with low prevalences of M. bovis in cattle and large herd sizes.

Graduate-entry nursing students' experiences of an accelerated nursing degree--a literature review.

AIM: To examine the experiences of graduate-entry (accelerated) nursing students through a review of research-based literature. BACKGROUND: Australian graduate-entry nursing degrees began in the mid 1990s and minimal research of these students has been undertaken. Comparatively, the United States introduced accelerated pathways in the early 1970s and a limited collection of corresponding research exists. Such courses are increasing globally and there is a need to gain a deeper understanding of student educational experiences. METHODS: Multiple electronic databases were searched for literature published between 1996 and 2010. Twelve studies examining accelerated nursing students' course experiences met the criteria and were reviewed. FINDINGS: Graduate-entry nursing students revealed a matrix of course detractors and course facilitators unique to the accelerated environment. CONCLUSION: This review identified the scarcity of research examining accelerated nursing students' course experiences. Future research will provide a deeper understanding of factors impacting upon students undergoing accelerated nursing programs leading to registration. Such knowledge may lead to refinement of existing courses, and the development of more efficacious future programs.

Automated species identification: why not?

Where possible, automation has been a common response of humankind to many activities that have to be repeated numerous times. The routine identification of specimens of previously described species has many of the characteristics of other activities that have been automated, and poses a major constraint on studies in many areas of both pure and applied biology. In this paper, we consider some of the reasons why automated species identification has not become widely employed, and whether it is a realistic option, addressing the notions that it is too difficult, too threatening, too different or too costly. Although recognizing that there are some very real technical obstacles yet to be overcome, we argue that progress in the development of automated species identification is extremely encouraging that such an approach has the potential to make a valuable contribution to reducing the burden of routine identifications. Vision and enterprise are perhaps more limiting at present than practical constraints on what might possibly be achieved.