No abstract

1. Amphibian biodiversity is experiencing ongoing declines due in part to the infectious disease, chytridiomycosis. Efforts to mitigate the effects of the causal agent of chytridiomycosis, Batrachochytrium dendrobatidis (Bd), in the wild have not been wholly effective. Translocations are an important management tool for amphib-

We developed a protocol for isolating the amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd) from anurans. We sampled skin tissues from 2 common treefrogs, Pseudacris regilla and P. triseriata, collected from populations with high infection prevalence. We sampled tissues from 3 anatomical ventral regions (thigh, abdomen, and foot) where the pathogen is thought to concentrate. To mitigate potential bacterial contamination, we used a unique combination of 4 antibiotics. We quantified infections on frogs as zoospore equivalents (ZE) using a swabbing approach combined with quantitative real-time polymerase chain reaction. We isolated Bd from 68.9% of frogs sampled from both species. Contamination was low (9.7% of all plates), with most contamination presumed to be fungal. We found positive correlations between successful isolation attempts and infection intensity. Our levels of isolation success were 74% for P. triseriata and 100% for P. regilla once Bd detection intensities reached ≥40 ZE. Of the 3 anatomical regions sampled in both species, we had significantly more success isolating Bd from foot tissue. Our results support published recommendations to focus sampling for Bd infection on feet, particularly webbing.

Background In medical school, students are tested through periodic USMLE Step 1 and 2 examinations before obtaining a medical license. Traditional predictors of medical school performance include MCAT scores, undergraduate grades, and undergraduate institutional selectivity. Prior studies indicate that admissions committees might unfairly discriminate against applicants who graduated from less competitive universities. However, there is limited literature to determine whether those who attended competitive colleges perform better on USMLE Step 1 and 2 examinations. Objective The purpose of our study is to determine if students who attended competitive undergraduate colleges outperform those who did not on medical school benchmarks. Methods We defined a Competitive College as having greater than 10% of its student body scoring 1400 or higher (on a 1600 scale) on the SAT. If this criteria was not met, colleges would be categorized as Non-Competitive. Descriptive statistics and unpaired t-tests were calculated to analyze average test scores on the MCAT, Phase 1 NBME, USMLE Step 1, Phase 2 NBME, and USMLE Step 2. Results Our findings suggest there are no statistically significant differences between students who do or do not attend competitive undergraduate colleges on these medical school benchmark examinations following the MCAT. Conclusion Admissions committees should use this data to aid in their student selection as our research indicates that institutional selectivity accurately predicts MCAT scores, but not performance on standardized medical school examinations once admitted.

Background: In medical school, students are tested through periodic USMLE Step 1 and 2 examinations before obtaining a medical license. Traditional predictors of medical school performance include MCAT scores, undergraduate grades, and undergraduate institutional selectivity. Prior studies indicate that admissions committees might unfairly discriminate against applicants who graduated from less competitive universities. However, there is limited literature to determine whether those who attended competitive colleges perform better on USMLE Step 1 and 2 examinations. Objective: The purpose of our study is to determine if students who attended competitive undergraduate colleges outperform those who did not on medical school benchmarks. Methods: We defined a Competitive College as having greater than 10% of its student body scoring 1400 or higher (on a 1600 scale) on the SAT. If this criterion was not met, colleges would be categorized as Non-Competitive. Descriptive statistics and unpaired t-tests were calculated to analyze average test scores on the MCAT, Phase 1 NBME, USMLE Step 1, Phase 2 NBME, and USMLE Step 2. Results: Our findings suggest there are no statistically significant differences between students who do or do not attend competitive undergraduate colleges on these medical school benchmark examinations following the MCAT. Additionally, students who do not attend competitive undergraduate colleges may outperform their counterparts on USMLE Step 2. Conclusions: Admissions committees should use this data to aid in their student selection as our research indicates that institutional selectivity accurately predicts MCAT scores, but not performance on standardized medical school examinations once admitted.