Tales From the Haunted South: Dark Tourism and Memories of Slavery From the Civil War Era

Haunted History and Public Memory Paranormal investigation shows like Ghost Hunters are nearly a dime a dozen, and with the rise of these paranormal programs came a rise in interest in haunted history. Cities with antebellum pasts are now home to countless companies specializing in ...

Whole-Genome Sequencing and Concordance Between Antimicrobial Susceptibility Genotypes and Phenotypes of Bacterial Isolates Associated with Bovine Respiratory Disease.

Extended laboratory culture and antimicrobial susceptibility testing timelines hinder rapid species identification and susceptibility profiling of bacterial pathogens associated with bovine respiratory disease, the most prevalent cause of cattle mortality in the United States. Whole-genome sequencing offers a culture-independent alternative to current bacterial identification methods, but requires a library of bacterial reference genomes for comparison. To contribute new bacterial genome assemblies and evaluate genetic diversity and variation in antimicrobial resistance genotypes, whole-genome sequencing was performed on bovine respiratory disease-associated bacterial isolates (Histophilus somni, Mycoplasma bovis, Mannheimia haemolytica, and Pasteurella multocida) from dairy and beef cattle. One hundred genomically distinct assemblies were added to the NCBI database, doubling the available genomic sequences for these four species. Computer-based methods identified 11 predicted antimicrobial resistance genes in three species, with none being detected in M. bovis While computer-based analysis can identify antibiotic resistance genes within whole-genome sequences (genotype), it may not predict the actual antimicrobial resistance observed in a living organism (phenotype). Antimicrobial susceptibility testing on 64 H. somni, M. haemolytica, and P. multocida isolates had an overall concordance rate between genotype and phenotypic resistance to the associated class of antimicrobials of 72.7% (P < 0.001), showing substantial discordance. Concordance rates varied greatly among different antimicrobial, antibiotic resistance gene, and bacterial species combinations. This suggests that antimicrobial susceptibility phenotypes are needed to complement genomically predicted antibiotic resistance gene genotypes to better understand how the presence of antibiotic resistance genes within a given bacterial species could potentially impact optimal bovine respiratory disease treatment and morbidity/mortality outcomes

The Bioeconomics of Soft Shell Crab: Evaluating the Impacts of Changing Season Length in Oregon's Dungeness Crab Fishery

The Dungeness crab (Cancer magister) fishery is one of the most valuable single species fishery in Oregon, with an average annual ex-vessel value of $45 million from 2004-2014. The fishery is managed using a "3-S" (minimum retention size, male retention only, season length) management paradigm. In addition, fleet capacity has been restricted since 1996, and a system of three tiers of pot limits was implemented in 2006. While a significant literature exists on the biology of the Dungeness crab, and despite the fishery's economic importance to the West coast of the U.S., relatively little is known about either the population dynamics of this stock, the economic behavior of the crab fleet, impacts of crab discards on future catch and biomass, and the economic performance of the fishery relative to its potential. To help us better understand the interaction of the biological stock and industry behavior we develop a bioeconomic model of the Oregon Dungeness crab fishery. The model combines an empirically estimated duration model of intra-season vessel exit behavior with a cohort-based biological representation of the crab stock into a bioeconomic simulation model. Using a Monte Carlo framework, we then examine the potential economic impacts of adjusting: 1) effort levels throughout the season, and 2) season length and timing. The economic performance of the fishery under its current management structure is then compared to the potential performance of the fishery under alternate management options.Proceedings of the Eighteenth Biennial Conference of the International Institute of Fisheries Economics and Trade, held July 11-15, 2016 at Aberdeen Exhibition and Conference Center (AECC), Aberdeen, Scotland, UK

Geospatial and socioeconomic patterns of patients referred for cochlear implant candidacy evaluation in North Carolina

Despite the growing body of literature citing the public health and economic concerns of untreated hearing loss, hearing healthcare still faces disparities in access1,2. The issues of accessibility in the general healthcare system are widely recognized by clinicians and researchers; however, there is limited research on this topic specific to cochlear implantation. Previous research demonstrates that patient characteristics (e.g., socioeconomic status and place of residence) and provider characteristics (e.g., availability) impact access to hearing healthcare3-5. The intersectional and compounding nature of these variables make understanding individual barriers to care incredibly complex. As these studies demonstrate, disparities in access to care are particularly prevalent among patients with low socioeconomic status (SES) and those who reside in rural areas that are further from clinic sites4. It is likely that these disparities also influence access to the audiological and medical evaluations for cochlear implantation candidacy evaluation and associated postoperative care. To ameliorate barriers to cochlear implant (CI) access, clinicians must first examine the present demographic composition and spatial distribution of patients completing the candidacy evaluation. This study aims to elucidate potential barriers in hearing healthcare by examining the referral patterns and follow-up attendance of patients at an adult CI clinic in North Carolina to better understand hearing healthcare disparities from a geographic and socioeconomic perspective

MYC pathway activation in triple-negative breast cancer is synthetic lethal with CDK inhibition

Estrogen, progesterone, and HER2 receptor-negative triple-negative breast cancers encompass the most clinically challenging subtype for which targeted therapeutics are lacking. We find that triple-negative tumors exhibit elevated MYC expression, as well as altered expression of MYC regulatory genes, resulting in increased activity of the MYC pathway. In primary breast tumors, MYC signaling did not predict response to neoadjuvant chemotherapy but was associated with poor prognosis. We exploit the increased MYC expression found in triple-negative breast cancers by using a synthetic-lethal approach dependent on cyclin-dependent kinase (CDK) inhibition. CDK inhibition effectively induced tumor regression in triple-negative tumor xenografts. The proapoptotic BCL-2 family member BIM is up-regulated after CDK inhibition and contributes to this synthetic-lethal mechanism. These results indicate that aggressive breast tumors with elevated MYC are uniquely sensitive to CDK inhibitors

A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients

INTRODUCTION: The Oncotype DX assay was recently reported to predict risk for distant recurrence among a clinical trial population of tamoxifen-treated patients with lymph node-negative, estrogen receptor (ER)-positive breast cancer. To confirm and extend these findings, we evaluated the performance of this 21-gene assay among node-negative patients from a community hospital setting. METHODS: A case-control study was conducted among 4,964 Kaiser Permanente patients diagnosed with node-negative invasive breast cancer from 1985 to 1994 and not treated with adjuvant chemotherapy. Cases (n = 220) were patients who died from breast cancer. Controls (n = 570) were breast cancer patients who were individually matched to cases with respect to age, race, adjuvant tamoxifen, medical facility and diagnosis year, and were alive at the date of death of their matched case. Using an RT-PCR assay, archived tumor tissues were analyzed for expression levels of 16 cancer-related and five reference genes, and a summary risk score (the Recurrence Score) was calculated for each patient. Conditional logistic regression methods were used to estimate the association between risk of breast cancer death and Recurrence Score. RESULTS: After adjusting for tumor size and grade, the Recurrence Score was associated with risk of breast cancer death in ER-positive, tamoxifen-treated and -untreated patients (P = 0.003 and P = 0.03, respectively). At 10 years, the risks for breast cancer death in ER-positive, tamoxifen-treated patients were 2.8% (95% confidence interval [CI] 1.7–3.9%), 10.7% (95% CI 6.3–14.9%), and 15.5% (95% CI 7.6–22.8%) for those in the low, intermediate and high risk Recurrence Score groups, respectively. They were 6.2% (95% CI 4.5–7.9%), 17.8% (95% CI 11.8–23.3%), and 19.9% (95% CI 14.2–25.2%) for ER-positive patients not treated with tamoxifen. In both the tamoxifen-treated and -untreated groups, approximately 50% of patients had low risk Recurrence Score values. CONCLUSION: In this large, population-based study of lymph node-negative patients not treated with chemotherapy, the Recurrence Score was strongly associated with risk of breast cancer death among ER-positive, tamoxifen-treated and -untreated patients

Direct Identification of the Meloidogyne incognita Secretome Reveals Proteins with Host Cell Reprogramming Potential

The root knot nematode, Meloidogyne incognita, is an obligate parasite that causes significant damage to a broad range of host plants. Infection is associated with secretion of proteins surrounded by proliferating cells. Many parasites are known to secrete effectors that interfere with plant innate immunity, enabling infection to occur; they can also release pathogen-associated molecular patterns (PAMPs, e.g., flagellin) that trigger basal immunity through the nematode stylet into the plant cell. This leads to suppression of innate immunity and reprogramming of plant cells to form a feeding structure containing multinucleate giant cells. Effectors have generally been discovered using genetics or bioinformatics, but M. incognita is non-sexual and its genome sequence has not yet been reported. To partially overcome these limitations, we have used mass spectrometry to directly identify 486 proteins secreted by M. incognita. These proteins contain at least segmental sequence identity to those found in our 3 reference databases (published nematode proteins; unpublished M. incognita ESTs; published plant proteins). Several secreted proteins are homologous to plant proteins, which they may mimic, and they contain domains that suggest known effector functions (e.g., regulating the plant cell cycle or growth). Others have regulatory domains that could reprogram cells. Using in situ hybridization we observed that most secreted proteins were produced by the subventral glands, but we found that phasmids also secreted proteins. We annotated the functions of the secreted proteins and classified them according to roles they may play in the development of root knot disease. Our results show that parasite secretomes can be partially characterized without cognate genomic DNA sequence. We observed that the M. incognita secretome overlaps the reported secretome of mammalian parasitic nematodes (e.g., Brugia malayi), suggesting a common parasitic behavior and a possible conservation of function between metazoan parasites of plants and animals