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Invasive alien species (IAS) are a rising threat to biodiversity, national security, and regional economies, with impacts in the hundreds of billions of U.S. dollars annually. Proactive or predictive approaches guided by scientific knowledge are essential to keeping pace with growing impacts of invasions under climate change. Although the rapid development of diverse technologies and approaches has produced tools with the potential to greatly accelerate invasion research and management, innovation has far outpaced implementation and coordination. Technological and methodological syntheses are urgently needed to close the growing implementation gap and facilitate interdisciplinary collaboration and synergy among evolving disciplines. A broad review is necessary to demonstrate the utility and relevance of work in diverse fields to generate actionable science for the ongoing invasion crisis. Here, we review such advances in relevant fields including remote sensing, epidemiology, big data analytics, environmental DNA (eDNA) sampling, genomics, and others, and present a generalized framework for distilling existing and emerging data into products for proactive IAS research and management. This integrated workflow provides a pathway for scientists and practitioners in diverse disciplines to contribute to applied invasion biology in a coordinated, synergistic, and scalable manner.

Smartphone apps have enhanced the potential for monitoring of invasive alien species (IAS) through citizen science. They now have the capacity to massively increase the volume and spatiotemporal coverage of IAS occurrence data accrued in centralised databases. While more reporting apps are developed each year, innovation across diverse functionalities and data management in this field are occurring separately and simultaneously amongst numerous research groups with little attention to trends, priorities and opportunities for improvement. This creates the risk of duplication of effort and missed opportunities for implementing new and existing functionalities that would directly benefit IAS research and management. Using a literature search of Early Detection and Rapid Response implementation, smartphone app development and invasive species reporting apps, we developed a rubric for quantitatively assessing the functionality of IAS reporting apps and applied this rubric to 41 free, English-language IAS reporting apps, available via major mobile app stores in North America. The five highest performing apps achieved scores of 61.90% to 66.35% relative to a hypothetical maximum score, indicating that many app features and functionalities, acknowledged to be useful for IAS reporting in literature, are not present in sampled apps. This suggests that current IAS reporting apps do not make use of all available and known functionalities that could maximise their efficacy. Major implementation gaps, highlighted by this rubric analysis, included limited implementation in user engagement (particularly gamification elements and social media compatibility), ancillary information on search effort, detection method, the ability to report absences and local habitat characteristics. The greatest advancement in IAS early detection would likely result from app gamification. This would make IAS reporting more engaging for a growing community of non-professional contributors and encourage frequent and prolonged participation. We discuss these implementation gaps in relation to the increasingly urgent need for Early Detection and Rapid Response frameworks. We also recommend future innovations in IAS reporting app development to help slow the spread of IAS and curb the global economic and biodiversity extinction crises. We also suggest that further funding and investment in this and other implementation gaps could greatly increase the efficacy of current IAS reporting apps and increase their contributions to addressing the contemporary biological invasion threat.

Previous studies of the relationship between energy intake and child weight have shown mixed results and have largely not described differences in diet quality or the impact of underreporting. The objective of this study was to investigate the relationship between dietary intake and childhood obesity by assessing energy intake and diet quality across BMI categories for 2–19-year-old children before and after excluding underreporters. Energy intake and the Healthy Eating Index 2010 (HEI) were studied for 2–19-year-old children using data from 2005–2014 NHANES. Underreporters were defined as children consuming

Objective This study described the job responsibilities and modalities of care among dialysis dietitians in the United States and their observations regarding the nutrition needs of their patients, during the COVID-19 pandemic. Design and Methods Cross-sectional online survey captures dietitian characteristics and responsibilities, dialysis facility characteristics, and patient needs. We recruited US dialysis dietitians. We used chi-square tests to compare respondent stress and facility-level policies regarding eating/drinking and oral nutrition supplements based on facility ownership type. Results We received 191 complete or partial survey responses. Sixty-three percent of respondents stated that their center banned eating/drinking during dialysis due to COVID-19 masking policies. DaVita and non-profit facilities were significantly more likely to still allow eating/drinking during dialysis (31% and 29%, respectively) compared to Fresenius facilities (7%). A common theme in open-ended responses regarding nutrition care for COVID-19-positive patients was providing less care to these patients. A majority of respondents admitted to stress from working in healthcare during COVID-19. The majority of respondents indicated that patients were taking precautions such as having a family member or friend grocery shop for them (69%) or going to the store less often (60%). Just over a quarter of respondents indicated that affordability of food was a concern among patients. Seventy-two percent reported that patients were cooking at home more often, 60% had observed an increase in serum phosphorus, and 72% an increase in interdialytic weight gain. Conclusions Due to the increased risk of malnutrition and symptoms that can affect dietary intake in COVID-positive patients, and the economic conditions leading to increased rates of food insecurity, dietitians must be proactive in preventing and/or treating malnutrition through adequate protein and energy intake. Eating/drinking bans should not become permanent and dialysis centers should take precautions to allow intradialytic meals and oral nutrition supplement protocols to continue during the pandemic.

Texas is the only state to mandate a patient to full-time equivalent (FTE) registered dietitian (RD) ratio (125 patients:FTE RD) in dialysis. Little research exists about the relationship between patient:FTE RD ratio and quality. Our objectives were to a) examine the effect of the mandate on patient:FTE RD ratios in Texas facilities compared to similar nonmandated facilities and b) examine the association between patient:FTE RD ratio and the patient rating of staff quality or star rating of the facility.Using data from Dialysis Facility Annual Reports, we excluded facilities with less than 125 patients and matched based on region, chain/profit status, and number of patients, pairing each Texas facility with 2 non-Texas facilities. T-tests for difference of means and chi-square tests were performed to compare facility groups characteristics and assess mandate impact. We used correlation between patient:FTE RD ratio and staff quality linearized score, and ANOVA to compare patient:FTE RD ratios between the star rating levels.The patient:FTE RD ratio was higher in non-Texas than Texas facilities (111.84 ± 40.70 vs 90.80 ± 24.02, P .01). The Pearson correlation between patient:FTE RD ratio and linearized score rating of the dialysis center staff was essentially nonexistent (r = -0.046). We found a trend of higher patient:FTE RD ratios in facilities with lower star ratings for quality and staff but no statistical significance.The mandate effectively lowered the patient:FTE RD ratio in Texas dialysis facilities with over 125 patients, indicating that states considering such a mandate may benefit from implementing it. We found no association between patient:FTE RD staffing and quality, either objectively or via patient assessment. Further research should examine whether dialysis facilities are trending toward smaller patient sizes to circumvent staffing mandates and examine the relationship between other professions' staffing ratios and quality.

Exact quantification of research conducted by dietitians and tracking the effectiveness of interventions or training programs to increase either evidence-based practice (EBP) or research behaviours have been hampered by the variety of tools used to measure these constructs.In this narrative review, we identified and classified the various tools previously used to measure constructs related to research and/or EBP in the dietetics profession, and to summarise estimates of the constructs measured.We identified and classified 15 scored tools that had been used at least once in the dietetics profession and extracted tool parameter estimates from 22 resulting papers. We also identified six unscored tools and three qualitative studies. The most frequent constructs measured were attitudes and behaviours. Very few tools measured objective knowledge (skills). No objective measures of research outputs were identified. Several tools were closely related to one another.Even when tools were used across multiple papers, reporting method varied making comparisons difficult. This review should encourage future researchers to utilise existing tools when possible, and encourage the development or adaptation and testing of tools that fill identified gaps. The constructs measured by the tools identified may also provide a starting point for the development of educational interventions aiming to increase research or EBP skills among dietitians. Only by using consistent tools will the dietetics profession be able to track the progress in increasing research conduct and EBP implementation over time.

AimsNext-generation sequencing (NGS) is integral to the delivery of personalised medicine for targeted cancer therapy. Average turnaround times (TAT) from reference laboratories with advanced expertise in sequencing are typically 2–3 weeks. Prolonged TAT for biomarker analysis can adversely affect patient outcomes. The project aim was to establish an accredited NGS service integrated within a routine clinical diagnostic laboratory, in a designated tertiary cancer centre with no previous experience in NGS or bioinformatics.MethodsPlatform selected was the novel Ion Torrent Genexus Sequencer with automated onboard library preparation, templating, sequencing and data analysis, with subsequent reporting using Oncomine Reporter software.Entire workflow validation was performed with a targeted panel, the Oncomine Precision Assay, on formalin-fixed paraffin embedded clinical tumour samples. Oncomine Reporter software was used to report on variants including mutations, copy number variations and fusions across 50 key genes.Samples included surgical resections, biopsies, cytology and commercial reference material. Assessment of criteria included analytical sensitivity, specificity, limit of detection, accuracy, repeatability and reproducibility, with the establishment of performance metrics and quality parameters.ResultsHigh sensitivity, specificity and reproducibility were achieved. DNA/RNA input requirements optimised to >10 ng, and sequencing performance established with a limit of detection of 5% when depth of coverage of 2500X was reached. This NGS service attained ISO15189 accreditation with no non-conformances and >56% reduction in TAT.ConclusionSuccessful implementation, clinical validation and accreditation of a novel NGS technology was achieved in this institution, with a significantly improved TAT of results to oncologists

The rapidly emerging field of macrogenetics focuses on analysing publicly accessible genetic datasets from thousands of species to explore large-scale patterns and predictors of intraspecific genetic variation. Facilitated by advances in evolutionary biology, technology, data infrastructure, statistics and open science, macrogenetics addresses core evolutionary hypotheses (such as disentangling environmental and life-history effects on genetic variation) with a global focus. Yet, there are important, often overlooked, limitations to this approach and best practices need to be considered and adopted if macrogenetics is to continue its exciting trajectory and reach its full potential in fields such as biodiversity monitoring and conservation. Here, we review the history of this rapidly growing field, highlight knowledge gaps and future directions, and provide guidelines for further research.

Biodiversity underlies ecosystem resilience, ecosystem function, sustainable economies, and human well-being. Understanding how biodiversity sustains ecosystems under anthropogenic stressors and global environmental change will require new ways of deriving and applying biodiversity data. A major challenge is that biodiversity data and knowledge are scattered, biased, collected with numerous methods, and stored in inconsistent ways. The Group on Earth Observations Biodiversity Observation Network (GEO BON) has developed the Essential Biodiversity Variables (EBVs) as fundamental metrics to help aggregate, harmonize, and interpret biodiversity observation data from diverse sources. Mapping and analyzing EBVs can help to evaluate how aspects of biodiversity are distributed geographically and how they change over time. EBVs are also intended to serve as inputs and validation to forecast the status and trends of biodiversity, and to support policy and decision making. Here, we assess the feasibility of implementing Genetic Composition EBVs (Genetic EBVs), which are metrics of within-species genetic variation. We review and bring together numerous areas of the field of genetics and evaluate how each contributes to global and regional genetic biodiversity monitoring with respect to theory, sampling logistics, metadata, archiving, data aggregation, modeling, and technological advances. We propose four Genetic EBVs: (i) Genetic Diversity; (ii) Genetic Differentiation; (iii) Inbreeding; and (iv) Effective Population Size (Ne ). We rank Genetic EBVs according to their relevance, sensitivity to change, generalizability, scalability, feasibility and data availability. We outline the workflow for generating genetic data underlying the Genetic EBVs, and review advances and needs in archiving genetic composition data and metadata. We discuss how Genetic EBVs can be operationalized by visualizing EBVs in space and time across species and by forecasting Genetic EBVs beyond current observations using various modeling approaches. Our review then explores challenges of aggregation, standardization, and costs of operationalizing the Genetic EBVs, as well as future directions and opportunities to maximize their uptake globally in research and policy. The collection, annotation, and availability of genetic data has made major advances in the past decade, each of which contributes to the practical and standardized framework for large-scale genetic observation reporting. Rapid advances in DNA sequencing technology present new opportunities, but also challenges for operationalizing Genetic EBVs for biodiversity monitoring regionally and globally. With these advances, genetic composition monitoring is starting to be integrated into global conservation policy, which can help support the foundation of all biodiversity and species' long-term persistence in the face of environmental change. We conclude with a summary of concrete steps for researchers and policy makers for advancing operationalization of Genetic EBVs. The technical and analytical foundations of Genetic EBVs are well developed, and conservation practitioners should anticipate their increasing application as efforts emerge to scale up genetic biodiversity monitoring regionally and globally. ispartof: BIOLOGICAL REVIEWS vol:97 issue:4 pages:1511-1538 ispartof: location:England status: published

Introduction Antimicrobial intravenous-to-oral switch (IVOS) is an antimicrobial stewardship (AMS) strategy with patient safety and cost-effectiveness benefits. Studies show that IVOS decisions had no negative impact on patient outcomes,1 and pharmacist involvement brought about more appropriate antibiotic prescribing and 34% reduction in medication costs.2 Healthcare settings have developed individualised local IVOS checklists. Aim To collate IVOS criteria from local checklists, complete a rapid literature review to evaluate IVOS criteria and undertake a 3-step Delphi consensus-gathering process to agree evidence-based, UK-wide IVOS criteria for hospitalised adults. Methods Local IVOS checklists from the UK nations were sought through stratified sampling. The rapid review followed PRISMA guidance and is registered on PROSPERO [CRD42022320343]. Criteria with highest, or over 50%, appearance in checklists and literature were combined for Step 1 of the 3-step Delphi process. Step 1: Pilot/1st round questionnaire: An expert panel appraised each criterion via a 5-point Likert scale for relevance to safe and effective IVOS and ease of assessment in the clinical setting. Step 2: Virtual meeting: Step 1 respondents discussed questionnaire results and attained criteria consensus for Step 3. Step 3: 2nd round questionnaire: Healthcare professionals UK-wide stated level of agreement via a 5-point Likert scale regarding the need of each criterion for safe and effective IVOS. Results Forty-five local IVOS checklists were selected: 42 from English Acute Trusts, two from Scottish Health Boards and the All-Wales checklist. Sixteen of 477 papers were included in the rapid review. Criteria were synthesised into a 5-section framework: 1-Timing of IV antimicrobial review; 2-Clinical signs and symptoms; 3-Infection markers; 4-Enteral route; 5-Infection exclusions. Combination of IVOS criteria resulted in 41 criteria for Step 1. Step 1 had 24 respondents, 15 of those participated in Step 2. Thirty-five criteria went into Step 3, which had 242 respondents (England n=195, Northern Ireland n=18, Scotland n=18, Wales n=11). The majority were female (n=154; n=7 preferred not to say) and based in NHS Acute Teaching Trusts (n=121). Antimicrobial or infection specialist pharmacists were the highest respondents (n=65) followed by general physicians (n=55). Sixty-seven per cent of respondents (n=161) considered IVOS to have a positive impact on outcomes of clinically stable patients. Consensus was achieved for 27 IVOS criteria (66% of initial criteria). Examples of agreed criteria were: ‘IVOS should be considered within 48 hours of first dose of IV antimicrobial being administered’ and ‘Temperature between 36-38°C for past 24 hours’. Discussion/Conclusion Evidence-based consensus was achieved for IVOS criteria from a UK-wide multidisciplinary group and will be used to develop an IVOS tool for hospitalised adults. A study strength was use of the Delphi process to capture consensus; a limitation was no checklist from Northern Ireland was identified at time of the study, however Steps 1-3 had participation from Northern Ireland. Early IVOS initiatives led by ward pharmacists have previously been shown to reduce use of hospital intravenous broad-spectrum antibiotics: co-amoxiclav (-27.9%) and cefuroxime (-46.5%).3 Further research is needed to operationalise the nationally agreed criteria in UK hospitals, expand AMS roles of pharmacy and nursing teams and assess impact. References 1. Wongkamhla T, Khan-Asa B, Tongsai S, Angkasekwinai N. Infectious Disease Team Review Using Antibiotic Switch and Discharge Criteria Shortens the Duration of Intravenous Antibiotic: A Single-Center Cluster-Randomized Controlled Trial in Thailand. Open Forum Infect Dis. 2020;7(12):ofaa539. 2. Polidori P, Leonardi Vinci D, Adami S, Bianchi S, Faggiano ME, Provenzani A. Role of the hospital pharmacist in an Italian antimicrobial stewardship programme. Eur J Hosp Pharm. 2021;29:95-100. 3. Sze WT, Kong MC. Impact of printed antimicrobial stewardship recommendations on early intravenous to oral antibiotics switch practice in district hospitals. Pharm Pract. 2018;16(2):855.

Estimation of the effective number of breeders per reproductive event (Nb) using single sample DNA-marker-based methods has rapidly grown in recent years. However, estimating Nb is difficult in age-structured populations because the performance of estimators is influenced by the Nb / Ne ratio, which varies among species with different life histories. We provide a computer program, AgeStrucNb, to simulate age-structured populations (including life history) and also estimate Nb. The AgeStrucNb program is composed of 4 major components to simulate, subsample, estimate, and then visualize Nb time series data. AgeStrucNb allows users to also quantify the precision and accuracy of any set of loci or sample size to estimate Nb for many species and populations. AgeStrucNb allows users to conduct power analysis to evaluate sensitivity to detect changes in Nb or the power to detect a correlation between trends in Nb and environmental variables (e.g., temperature, habitat quality, predator or pathogen abundance) that could be driving changes in Nb. The software provides Nb estimates for empirical data sets using the LDNe (linkage disequilibrium) method, includes publication-quality output graphs, and outputs genotype files in Genepop format for use in other programs. AgeStrucNb will help advance the application of genetic markers for monitoring Nb, which will help biologists to detect population declines and growth, which is crucial for research and conservation of natural and managed populations.

The increasing availability and complexity of next-generation sequencing (NGS) data sets make ongoing training an essential component of conservation and population genetics research. A workshop entitled “ConGen 2018” was recently held to train researchers in conceptual and practical aspects of NGS data production and analysis for conservation and ecological applications. Sixteen instructors provided helpful lectures, discussions, and hands-on exercises regarding how to plan, produce, and analyze data for many important research questions. Lecture topics ranged from understanding probabilistic (e.g., Bayesian) genotype calling to the detection of local adaptation signatures from genomic, transcriptomic, and epigenomic data. We report on progress in addressing central questions of conservation genomics, advances in NGS data analysis, the potential for genomic tools to assess adaptive capacity, and strategies for training the next generation of conservation genomicists.

Little is known about the life histories, genetic structure and population connectivity of shallow groundwater organisms. We used next-generation sequencing (RAD-seq) to analyse population genomic structure in two aquifer species: Paraperla frontalis (Banks, 1902), a stonefly with groundwater larvae and aerial (winged) adults; and Stygobromus sp., a groundwater-obligate amphipod. We found similar genetic differentiation in each species between floodplains separated by ~70 river km in the Flathead River basin of north-west Montana, USA. Given that Stygobromus lacks the above-ground life stage of P. frontalis, our findings suggest that connectivity and the magnitude of genetic structure cannot be definitively assumed from life history differences.

Millette et al. (Ecology Letters, 2020, 23:55-67) reported no consistent worldwide anthropogenic effects on animal genetic diversity using repurposed mitochondrial sequences. We describe limitations to this study, some of which are common to other macrogenetic studies, that may lead to misinterpretations and unintended consequences for conservation.

Understanding how environmental variation influences population genetic structure can help predict how environmental change influences population connectivity, genetic diversity, and evolutionary potential. We used riverscape genomics modeling to investigate how climatic and habitat variables relate to patterns of genetic variation in 2 stonefly species, one from mainstem river habitats (Sweltsa coloradensis) and one from tributaries (Sweltsa fidelis) in 40 sites in northwest Montana, USA. We produced a draft genome assembly for S. coloradensis (N50 = 0.251 Mbp, BUSCO > 95% using “insecta_ob9” reference genes). We genotyped 1930 SNPs in 372 individuals for S. coloradensis and 520 SNPs in 153 individuals for S. fidelis. We found higher genetic diversity for S. coloradensis compared to S. fidelis, but nearly identical genetic differentiation among sites within each species (both had global loci median FST = 0.000), despite differences in stream network location. For landscape genomics and testing for selection, we produced a less stringently filtered data set (3454 and 1070 SNPs for S. coloradensis and S. fidelis, respectively). Environmental variables (mean summer precipitation, slope, aspect, mean June stream temperature, land cover type) were correlated with 19 putative adaptive loci for S. coloradensis, but there was only one putative adaptive locus for S. fidelis (correlated with aspect). Interestingly, we also detected potential hybridization between multiple Sweltsa species which has never been previously detected. Studies like ours, that test for adaptive variation in multiple related species are needed to help assess landscape connectivity and the vulnerability of populations and communities to environmental change.

The role of nutrition in chronic kidney disease (CKD) is well known. However, controversies, misconceptions, and gaps in the literature exist regarding the workforce required to provide nutrition care in CKD. This paper reviews the existing literature on this topic, focusing primarily on the United States. Topics covered in this review include the qualifications and services of the registered dietitian nutritionist (RDN), to which specific patients nutrition care should be provided in CKD and on dialysis, barriers to the utilization of nutrition services, the quantity of nutrition care needed to improve patient outcomes, and the risks of provider burnout. Controversies include whether more staffing is associated with better care and the best measures of staffing. The topics are supported with estimations for the economic impact and practicality of workforce decisions.

Objective The purpose of this study was to quantify how dialysis dietitians spend their time and whether the activities that were most frequent varied based on the ratio of patient to full-time equivalent (FTE) dietitian. Methods This study is a cross-sectional, observational, time-and-motion study carried out using the Work Activity Measurement by Activity Timing software/method for time recording. This study was carried out in 14 dialysis centers in and around Cleveland, Ohio. Fourteen registered dietitian nutritionists participated in this study. The mean time/experience of these nutritionists in dietetics was 26.6 ± 8.5 years. Percent of time in direct care (e.g., patient interaction) versus indirect care (e.g., documentation and plans of care, professional communication) versus other responsibilities (e.g., administrative work, education of self or others). Results The mean number of tasks recorded per 3-hour observation session was 38.3 ± 14.0, including 18.5 ± 7.7 indirect care tasks, 7.7 ± 6.2 direct care tasks, and 9.7 ± 5.4 other tasks. The mean number of unique patients seen per observation session was 6.9 ± 5.4; the mean direct care time per patient encounter was 6.95 ± 4.05 minutes. Indirect care took the highest proportion of observed time, 56.0 ± 22.2%, followed by direct care, 24.9 ± 18.8%. Increasing the ratio of patient to FTE had a moderate negative correlation with the percent of time spent in direct patient care (r = −0.35, P = .21), but there was no relationship between the ratio of patient to FTE and direct care time per patient (r = 0.02, P = .94). Conclusion About 25% of dietitians' time was available for direct patient care. This is much less than that reported in previous studies and may not be sufficient to improve the nutritional status. Limitations of our study include a small sample size from a single region. Further work is needed to understand the balance of responsibilities among renal dietitians and their impact on patient outcomes.

Aquatic species represent a vast diversity of metazoans, provide humans with the most abundant animal protein source, and are of increasing conservation concern, yet landscape genomics is dominated by research in terrestrial systems. We provide researchers with a roadmap to plan aquatic landscape genomics projects by aggregating spatial and software resources and offering recommendations from sampling to data production and analyses, while cautioning against analytical pitfalls. Given the unique properties of water, we discuss the importance of considering freshwater system structure and marine abiotic properties when assessing genetic diversity, population connectivity, and signals of natural selection. When possible, genomic datasets should be parsed into neutral, adaptive, and sex-linked datasets to generate the most accurate inferences of eco-evolutionary processes.

No systematic, universally accepted method of diagnosing malnutrition in hospitalized patients exists, which may contribute to underdiagnosis, undertreatment, and poorer patient outcomes. To address this issue, the Academy of Nutrition and Dietetics is conducting a cohort study to: assess the predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition indicators for the diagnosis of adult and pediatric malnutrition in hospital settings; assess the interrater reliability of the indicators for the diagnosis of adult and pediatric malnutrition; and quantify the level of registered dietitian nutritionist care needed to improve patient outcomes. Up to 60 adult and 60 pediatric hospital sites will collect data to estimate level of registered dietitian nutritionist care, along with patient medical history and Malnutrition Screening Tool (adult) or STRONGkids (pediatric) results. A subset of 600 adult and 600 pediatric patients (∼1:1 screened as high- or low-risk for malnutrition) will be randomly selected for the indicators for the diagnosis of adult and pediatric malnutrition and Nutrition Focused Physical Exam data collection; 100 adult and 100 pediatric patients in this group will also undergo a bioelectrical impedance analysis measurement. Additional nutrition care and medical outcomes (eg, mortality and length of stay) will be collected for a 3-month period after the initial nutrition encounter. Multilevel linear, logistic, Poisson, or Cox regression models will be used to assess indicators for the diagnosis of adult and pediatric malnutrition validity and registered dietitian nutritionist staffing levels as appropriate for each medical outcome. Validation results will allow US clinicians to standardize the way they diagnose malnutrition in hospitalized patients, and the staffing data will support advocacy for available registered dietitian nutritionist-delivered malnutrition treatment to improve patient outcomes.

Alluvial aquifers are key components of river floodplains and biodiversity worldwide, but they contain extreme environmental conditions and have limited sources of carbon for sustaining food webs. Despite this, they support abundant populations of aquifer stoneflies that have large proportions of their biomass carbon derived from methane. Methane is typically produced in freshwater ecosystems in anoxic conditions, while stoneflies (Order: Plecoptera) are thought to require highly oxygenated water. The potential importance of methane-derived food resources raises the possibility that stonefly consumers have evolved anoxia-resistant behaviors and physiologies. Here we tested the anoxic and hypoxic responses of 2445 stonefly individuals in three aquifer species and nine benthic species. We conducted experimental trials in which we reduced oxygen levels, documented locomotor activity, and measured survival rates. Compared to surface-dwelling benthic relatives, stoneflies from the alluvial aquifer on the Flathead River (Montana) performed better in hypoxic and anoxic conditions. Aquifer species sustained the ability to walk after 4-76 hours of anoxia versus one hour for benthic species, and survived on average 3× longer than their benthic counterparts. Aquifer stoneflies also sustained aerobic respiration down to much lower levels of ambient oxygen. We show that aquifer taxa have gene sequences for hemocyanin, an oxygen transport respiratory protein, representing a possible mechanism for surviving low oxygen. This remarkable ability to perform well in low-oxygen conditions is unique within the entire order of stoneflies (Plecoptera) and uncommon in other freshwater invertebrates. These results show that aquifer stoneflies can exploit rich carbon resources available in anoxic zones, which may explain their extraordinarily high abundance in gravel-bed floodplain aquifers. These stoneflies are part of a novel food web contributing biodiversity to river floodplains.

The human microbiota, the collection of microbes that inhabit the human body, is increasingly recognized as playing a role in human health. A seminal example of this relationship is Helicobacter pylori and gastric cancer oncogenesis. The decline in H.pylori prevalence and non-cardia gastric cancer incidence have coincided with the rise in oesophageal adenocarcinoma (OAC) incidence. We sought to explore the relationship between the gastric and oesophageal microbiome and OAC oncogenesis. Methods This study aimed to explore changes in the microbiome associated with oesophageal adenocarcinoma and its precancerous and inflammatory states by performing 16S rRNA gene amplicon sequencing on DNA extracted from oesophago-gastric biopsies from patients with normal oesophageal mucosa, reflux oesophagitis, Barrett’s oesophagus with and without dysplasia, locally advanced but resectable oesophageal adenocarcinoma, and incurable metatstatic oesophageal adenocarcinoma (See Table 1). We dissected ecological differences between sample site and clinical classification using a variety of approaches including examining differentially abundant taxa and inferred metabolic pathways, alpha diversity and beta-diversity. Results There was no statistically significant difference in beta diversity with respect to biopsy location. Alpha diversity was reduced in gastric biopsies compare to oesophageal biopsies. A small but significant shift was noted in beta diversity (Bray–Curtis Dissimilarity) with respect to clinical classification in biopsies derived from the gastroesophageal junction (GEJ) and stomach. Fusobacterium nucleatum was found to overrepresented in oesophageal biopsies derived from diseased groups relative to the healthy controls. Several taxa assigned to the genus Prevotella were depleted in biopsies of individuals with metastatic OAC compared to all other groups. Conclusion Community structure was shifted in samples derived from the GEJ, the epicentre of OAC oncogenesis. Fusobacterium plays a role in cancer development and progression through a number of mechanisms including increasing cell proliferation, immune cell infiltration and chemoresistance. Fusobacterium can cause upregulation of MicroRNA-21, a microRNA upregulated in OAC.

Aquatic insects cope with hypoxia and anoxia using a variety of behavioral and physiological responses. Most stoneflies (Plecoptera) occur in highly oxygenated surface waters, but some species live underground in alluvial aquifers containing heterogeneous oxygen concentrations. Aquifer stoneflies appear to be supported by methane-derived food resources, which they may exploit using anoxia-resistant behaviors. We documented dissolved oxygen dynamics and collected stoneflies over five years in floodplain wells of the Flathead River, Montana. Hypoxia regularly occurred in two wells, and nymphs of Paraperla frontalis were collected during hypoxic periods. We measured mass-specific metabolic rates (MSMR) at different oxygen concentrations (12, 8, 6, 4, 2, 0.5 mg/L, and during recovery) for 111 stonefly nymphs to determine whether aquifer and benthic taxa differed in hypoxia tolerance. Metabolic rates of aquifer taxa were similar across oxygen concentrations spanning 12 to 2 mg/L (P>0.437), but rates of benthic taxa dropped significantly with declining oxygen (P 12 hours) exposures resulted in lower survival (38-91%) and lower metabolic rates during recovery. Our work suggests that aquifer stoneflies have evolved a remarkable set of behavioral and physiological adaptations that allow them to exploit the unique food resources available in hypoxic zones. These adaptations help explain how large-bodied consumers might thrive in the underground aquifers of diverse and productive river floodplains.

New computational methods and next‐generation sequencing (NGS) approaches have enabled the use of thousands or hundreds of thousands of genetic markers to address previously intractable questions. The methods and massive marker sets present both new data analysis challenges and opportunities to visualize, understand, and apply population and conservation genomic data in novel ways. The large scale and complexity of NGS data also increases the expertise and effort required to thoroughly and thoughtfully analyze and interpret data. To aid in this endeavor, a recent workshop entitled “Population Genomic Data Analysis,” also known as “ConGen 2017,” was held at the University of Montana. The ConGen workshop brought 15 instructors together with knowledge in a wide range of topics including NGS data filtering, genome assembly, genomic monitoring of effective population size, migration modeling, detecting adaptive genomic variation, genomewide association analysis, inbreeding depression, and landscape genomics. Here, we summarize the major themes of the workshop and the important take‐home points that were offered to students throughout. We emphasize increasing participation by women in population and conservation genomics as a vital step for the advancement of science. Some important themes that emerged during the workshop included the need for data visualization and its importance in finding problematic data, the effects of data filtering choices on downstream population genomic analyses, the increasing availability of whole‐genome sequencing, and the new challenges it presents. Our goal here is to help motivate and educate a worldwide audience to improve population genomic data analysis and interpretation, and thereby advance the contribution of genomics to molecular ecology, evolutionary biology, and especially to the conservation of biodiversity.

Genetic monitoring estimates temporal changes in population parameters from molecular marker information. Most populations are complex in structure and change through time by expanding or contracting their geographic range, becoming fragmented or coalescing, or increasing or decreasing density. Traditional approaches to genetic monitoring rely on quantifying temporal shifts of specific population metrics—heterozygosity, numbers of alleles, effective population size—or measures of geographic differentiation such as FST. However, the accuracy and precision of the results can be heavily influenced by the type of genetic marker used and how closely they adhere to analytical assumptions. Care must be taken to ensure that inferences reflect actual population processes rather than changing molecular techniques or incorrect assumptions of an underlying model of population structure. In many species of conservation concern, true population structure is unknown, or structure might shift over time. In these cases, metrics based on inappropriate assumptions of population structure may not provide quality information regarding the monitored population. Thus, we need an inference model that decouples the complex elements that define population structure from estimation of population parameters of interest and reveals, rather than assumes, fine details of population structure. Encompassing a broad range of possible population structures would enable comparable inferences across biological systems, even in the face of range expansion or contraction, fragmentation, or changes in density. Currently, the best candidate is the spatial Λ‐Fleming‐Viot (SLFV) model, a spatially explicit individually based coalescent model that allows independent inference of two of the most important elements of population structure: local population density and local dispersal. We support increased use of the SLFV model for genetic monitoring by highlighting its benefits over traditional approaches. We also discuss necessary future directions for model development to support large genomic datasets informing real‐world management and conservation issues.

Limited research exists to evaluate nutrition guideline impact on clinical practice and patient health outcomes. In this study we investigate (1) the impact of guideline training on the implementation of the diabetes prevention Evidence-Based Nutrition Practice Guideline (EBNPG), and (2) the relationship between EBNPG congruence and resulting health outcomes in patients with prediabetes. We conducted an implementation study in which registered dietitian nutritionists (RDNs) provided nutrition care with 3-month follow-up to 102 pre-diabetes patients before and after a professional training on the implementation of the Diabetes Prevention EBNPG. Using the RDNs' Nutrition Care Process (NCP) documentation, we measured percent guideline congruence and health outcomes (body weight, waist circumference, fasting glucose, glycosylated hemoglobin), and modeled health outcomes. Guideline congruence improved after training by 4.3% (P0.05). However, no significant associations were observed between guideline training, or guideline congruence and health outcomes. Our model showed a reduction in waist circumference (2.1 ± 0.92 cm; P = 0.023), and body weight (-1.78 ± 0.55 kg; P = 0.001) throughout the course of the study. Training of nutrition professionals improved congruence to EBNPG for Diabetes Prevention. Nevertheless, improved guideline congruence did not impact related health outcomes. Standard care including nutrition intervention resulted in body weight and waist circumference reductions. Future research needs to further address the impact of evidence-based guidelines on outcomes in all areas of practice.