Antifungal mechanisms by which a novel Pseudomonas aeruginosa phenazine toxin kills Candida albicans in biofilms

Pseudomonas aeruginosa produces several phenazines including the recently described 5-methyl-phenazine-1-carboxylic acid (5MPCA), which exhibits a novel antibiotic activity towards pathogenic fungi such as Candida albicans . Here we characterize the unique antifungal mechanisms of 5MPCA using its analogue phenazine methosulphate (PMS). Like 5MPCA, PMS induced fungal red pigmentation and killing. Mass spectrometry analyses demonstrated that PMS can be covalently modified by amino acids, a process that yields red derivatives. Furthermore, soluble proteins from C. albicans grown with either PMS or P. aeruginosa were also red and demonstrated absorbance and fluorescence spectra similar to that of PMS covalently linked to either amino acids or proteins in vitro , suggesting that 5MPCA modification by protein amine groups occurs in vivo . The red-pigmented C. albicans soluble proteins were reduced by NADH and spontaneously oxidized by oxygen, a reaction that likely generates reactive oxygen species (ROS). Additional evidence indicated that ROS generation precedes 5MPCA-induced fungal death. Reducing conditions greatly enhanced PMS uptake by C. albicans and killing. Since 5MPCA was more toxic than other phenazines that are not modified, such as pyocyanin, we propose that the covalent binding of 5MPCA promotes its accumulation in target cells and contributes to its antifungal activity in mixed-species biofilms.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79382/1/j.1365-2958.2010.07414.x.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/79382/2/MMI_7414_sm_Figures_Table.pd

Associations Between Jump Performance and Asymmetries with 30-m Sprint Completion Time

Asymmetries of the lower body during jumping have been examined as a method to predict risk for injury and guide training program development. Studies have primarily focused on how these asymmetries affect jump performance, but none have examined this in Division I track athletes nor how these are related to sprint performance. PURPOSE: To examine the relationship between jump performance and asymmetries of the vertical and broad jumps with 30-m sprint completion times. METHODS: Twenty-five Division I Track and Field athletes (12 sprinters and 13 non-sprinters) (height = 177.21 ± 10.43 cm; weight = 78.67 ± 24.15 kg) participated in this study. These subjects performed two trials of both the vertical jump (VJ) with their hands on their hips while standing on force platforms. Subjects also performed two trials of the broad jump (BJ) while standing on force platforms and the distance of the BJ was measured using a 100-m tape measure. Following the jump tests, subjects performed two trials of 30-m sprints in which time was recorded using timing gates and the trial with the shortest completion time was used for analysis. Force data from the VJ was used to determine jump height and inter-limb asymmetries and the trial with the greatest jump height was used for analysis. Force data from the BJ was used to determine inter-limb asymmetries from each trial and the trial with the greatest jump distance was used for analysis. Asymmetries were calculated with the symmetry index equation [(high value-low value)/total*100]. Spearman rank correlations were then conducted to determine if the jump performance and asymmetries were associated with sprint completion times. Significance was set at an alpha level of 0.05. RESULTS: Spearman rank correlations determined that both the VJ and BJ were negatively associated with 30-m sprint completion time (rs= -0.644 p=0.001 and rs=-0.563 p=0.003, respectively). Additionally, both the VJ height and BJ distance were positively correlated (rs=0.643 p=0.001). The VJ and BJ asymmetries were not significantly correlated with 30-m sprint performance (p\u3e0.05) nor were they correlated with either the VJ height or BJ distance. CONCLUSION: The findings of study indicate that coaches may want to monitor jump performance as it is related to sprint performance. On the other hand, the asymmetries measured were not associated with jump or sprint performance and this may be due to the sample as they were highly trained individuals with low levels of asymmetries during both jumps

Association Between Single-Leg Agility and Single-Leg Vertical Jumping Performance in Active Adults

The vertical jump is crucial in sports and indicates lower body explosiveness. Additionally, vertical jumping requires landing bilaterally or unilaterally. PURPOSE: To determine any differences in unilateral vertical jump performance when landing unilaterally or bilaterally. METHODS: Thirty recreationally trained individuals (age = 23.5 ± 2.2 years) performed three trials of vertical jumps under four different conditions in random order (unilateral-left vertical jump with bilateral landing, unilateral-right vertical jump with bilateral landing, unilateral-left vertical jump with ipsilateral landing, and unilateral-right vertical jump with ipsilateral landing). Kinetic data (peak force, relative peak force, peak power, and relative peak power) was obtained from all jumps at 1000 Hz sampling rate. The average score between trials for the vertical jump were used for statistical analysis in SPSS 25. Independent T-tests were used to find differences in vertical jump measures depending on landing condition with p-value at 0.05. RESULTS: No significant differences between limbs in jump height (Right = 0.08 cm ± 0.04; Left cm = 0.11 ± 0.05), peak force (Right = 473.3 N ± 135.6; Left = 600.1 N ± 182.6), relative peak force (Right = 6.8 N*kg ± 2.6; Left = 7.8 N*kg ± 1.9), peak power (Right = 1505.4 W ± 524.5; Left = 1934.9 W ± 771.9), and relative peak power (Right = 21.3 W*kg ± 7.2; Left = 25.5 W*kg ± 5.8) during unilateral vertical jumps between the landing conditions (p \u3e 0.05). CONCLUSION: It appears that landing conditions do not affect unilateral jump performance in recreationally trained athletes

The Relationship between Squat Jump Performance and Sprint Profile in Collegiate Track and Field Athletes

The squat jump (SJ) necessitates the inter-play of various biomechanical components for better jump performance. Good sprint performance requires the inter-play of many of the same biomechanical components. Researchers have previously examined how the speed, force, velocity, and power interact during sprinting, but have yet to examine how these measures are associated with SJ performance measures. PURPOSE: Examine the relationship between squat jump performance measures and the sprint profile measurements of collegiate track and field athletes. METHODS: Twenty-five athletes (18 males and 7 females) completed two squat jump trials with a linear encoder attached to a 45 lbs. bar placed on the athlete’s upper back. Measures of interest during the concentric phase of the SJ included jump height, maximum force, maximum velocity, maximum power, and rate of force development. Athletes then completed two 30-meter acceleration sprints. The MySprint mobile application was used to acquire the athlete’s sprint profile and to assess maximal theoretical horizontal force, maximal theoretical velocity, optimal velocity, maximal theoretical power, maximal speed, maximal ratio of force, force-velocity slope, and decrease in ratio of force. The best trial was used for statistical analysis. Pearson’s or Spearman’s correlation coefficients were conducted between SJ measures and sprint profile measures. RESULTS: There was a positive correlation between SJ height and maximal speed (r = 0.402; p = 0.042). Maximal power during the SJ was positively correlated with maximal speed (r = 0.476; p = 0.014); optimal velocity (r = 0.469; p = 0.018); maximal theoretical power (r = 0.462; p = 0.018); maximal theoretical velocity (r = 0.452; p = 0.021); theoretical horizontal force (r = 0.431; p = 0.028); and maximal ratio force (r = 0.428; p = 0.029). Maximal velocity during the SJ was correlated with maximal speed (r = 0.519; p = 0.007); maximal theoretical velocity (r = 0.499; p = 0.010); optimal velocity (r = 0.486; p = 0.014); and maximal theoretical power (r = 0.484; p = 0.012). No other correlations were significant. CONCLUSION: Maximal velocity and power during the concentric phase of the SJ are moderately to strongly correlated with maximal sprinting speed, velocity, and power. SJ height is positively correlated with maximum sprint speed. There is a lack of significant correlations between other measures of the SJ and sprint profile measures. SJ power and velocity are correlated with sprint performance, therefore power and velocity improved through plyometric SJ training may be transferable to achieve better sprint performance

Identification of carbon dioxide in an exoplanet atmosphere

Carbon dioxide (CO2) is a key chemical species that is found in a wide range of planetary atmospheres. In the context of exoplanets, CO2 is an indicator of the metal enrichment (that is, elements heavier than helium, also called ‘metallicity’), and thus the formation processes of the primary atmospheres of hot gas giants. It is also one of the most promising species to detect in the secondary atmospheres of terrestrial exoplanets. Previous photometric measurements of transiting planets with the Spitzer Space Telescope have given hints of the presence of CO2, but have not yielded definitive detections owing to the lack of unambiguous spectroscopic identification. Here we present the detection of CO2 in the atmosphere of the gas giant exoplanet WASP-39b from transmission spectroscopy observations obtained with JWST as part of the Early Release Science programme. The data used in this study span 3.0–5.5 micrometres in wavelength and show a prominent CO2 absorption feature at 4.3 micrometres (26-sigma significance). The overall spectrum is well matched by one-dimensional, ten-times solar metallicity models that assume radiative–convective–thermochemical equilibrium and have moderate cloud opacity. These models predict that the atmosphere should have water, carbon monoxide and hydrogen sulfide in addition to CO2, but little methane. Furthermore, we also tentatively detect a small absorption feature near 4.0 micrometres that is not reproduced by these models

The Relationship between Squat Jump Performance and Sprint Profile in Collegiate Track and Field Athletes

The squat jump (SJ) necessitates the inter-play of various biomechanical components for better jump performance. Good sprint performance requires the inter-play of many of the same biomechanical components. Researchers have previously examined how the speed, force, velocity, and power interact during sprinting, but have yet to examine how these measures are associated with SJ performance measures. PURPOSE: Examine the relationship between squat jump performance measures and the sprint profile measurements of collegiate track and field athletes. METHODS: Twenty-five athletes (18 males and 7 females) completed two squat jump trials with a linear encoder attached to a 45 lbs. bar placed on the athlete’s upper back. Measures of interest during the concentric phase of the SJ included jump height, maximum force, maximum velocity, maximum power, and rate of force development. Athletes then completed two 30-meter acceleration sprints. The MySprint mobile application was used to acquire the athlete’s sprint profile and to assess maximal theoretical horizontal force, maximal theoretical velocity, optimal velocity, maximal theoretical power, maximal speed, maximal ratio of force, force-velocity slope, and decrease in ratio of force. The best trial was used for statistical analysis. Pearson’s or Spearman’s correlation coefficients were conducted between SJ measures and sprint profile measures. RESULTS: There was a positive correlation between SJ height and maximal speed (r = 0.402; p = 0.042). Maximal power during the SJ was positively correlated with maximal speed (r = 0.476; p = 0.014); optimal velocity (r = 0.469; p = 0.018); maximal theoretical power (r = 0.462; p = 0.018); maximal theoretical velocity (r = 0.452; p = 0.021); theoretical horizontal force (r = 0.431; p = 0.028); and maximal ratio force (r = 0.428; p = 0.029). Maximal velocity during the SJ was correlated with maximal speed (r = 0.519; p = 0.007); maximal theoretical velocity (r = 0.499; p = 0.010); optimal velocity (r = 0.486; p = 0.014); and maximal theoretical power (r = 0.484; p = 0.012). No other correlations were significant. CONCLUSION: Maximal velocity and power during the concentric phase of the SJ are moderately to strongly correlated with maximal sprinting speed, velocity, and power. SJ height is positively correlated with maximum sprint speed. There is a lack of significant correlations between other measures of the SJ and sprint profile measures. SJ power and velocity are correlated with sprint performance, therefore power and velocity improved through plyometric SJ training may be transferable to achieve better sprint performance

The Relationship between Broad Jump Distance and Sprint Profile in Collegiate Track and Field Athletes

Broad jump performance is associated with the application of horizontal force to achieve greater jump distance. Similarly, horizontal force application is vital to attain high velocities during sprinting. The video analysis-based sprint profile provides insight into multiple measures of sprint performance including maximal theoretical horizontal force, maximal theoretical velocity, optimal velocity, and maximal speed. PURPOSE: To determine the relationship between broad jump distance and the sprint profile of Division I track and field athletes. METHODS: Twenty-five athletes (18 males and 7 females) participated in the study. Subjects completed two countermovement broad jump trials and the distance from the start line to the closest landing mark was obtained with a measuring tape to the nearest centimeter. Subjects then completed two 30-meter maximal sprints. A mobile device with the MySprint mobile application was used to obtain subjects’ sprint profile including maximal theoretical horizontal force, maximal theoretical velocity, optimal velocity, maximal speed, maximal power, maximal ratio of force, force-velocity slope, decrease in ratio of force. The best trial was used for statistical analysis. Pearson’s or Spearman’s correlation coefficients were conducted between jump distance and sprint profile measures. RESULTS: There were strong positive correlations between broad jump distance and maximal power (r = 0.806; p \u3c0.001); optimal velocity (r = 0.777; p \u3c0.001); maximal theoretical velocity (r = 0.775; p \u3c0.001); maximal theoretical horizontal force (r = 0.714; p \u3c0.001); maximal speed (r = 0.710; p \u3c0.001); maximal ratio of force (r = 0.706; p \u3c0.001). There were also negative correlations between broad jump distance and force-velocity slope (r = -0.447; p = 0.022); and decrease in ratio of force (r = -0.211; p = 0.302). CONCLUSION: Athletes displaying longer broad jump distances exhibited higher maximal power during sprinting, supporting the importance of explosive power during activities such as the broad jump and sprinting. Moreover, prior literature has indicated that high horizontal force generation is vital to achieve longer broad jump distances. The importance of horizontal force during both the 30-meter sprint and broad jump is apparent provided their strong correlation. Lastly, a smaller force-velocity slope decrease is correlated with increased broad jump distance, indicating a relationship between broad jump performance and the maintenance of horizontal force at high velocities

Bilateral Broad Jump as a Better Predictor of Acceleration Split Times than Unilateral Broad Jump

Previous studies have shown that the broad jump is a good predictor of sprint performance. The bilateral and unilateral broad jump have been used to monitor jumping abilities in a wide variety of sports. However, it is unknown which of these two broad jump modalities would have a better prediction ability on sprint completion times. METHODS: A convenience sample of 27 (n=27, male=18, female=9) collegiate track athletes participated in this observational study. Subjects performed three trials of the bilateral and unilateral broad jumps while standing on two dual-axis force platforms, with data collected at a 1,000 Hz. Thereafter, subjects performed two 30-meter sprint trials from a standing start with split times being recorded every five meters via video recording at 240 Hz. Force platform data were processed and filtered using a Butterworth low-pass digital filter with cutoff at 50 Hz. A custom-built script was utilized to obtain kinetic (i.e. peak and mean concentric force and power, and, rate of force and power development) and kinematic variables (peak, mean, and take-off velocity, and concentric time) of both jumping modalities; broad jump performance was measured as the distance achieved during jumps. The trial with the greatest distance was used for statistical analysis; data were exported into Rstudio integrative development environment for statistical analysis using a custom-built script. Multiple stepwise regressions via forward-backward elimination was utilized to find the best prediction model for sprint split times with broad jump variables used as predictors. RESULTS: The bilateral broad jump distance had the following prediction variances for sprint distances: 65% at 5m, 66% at 10m, 61% at 15m, 66% at 20m, 65% at 25m, and 65% at 30m acceleration checkpoints. In contrast, jump distance for the unilateral broad jumps had the following prediction variances: 35% at 5m, 32% at 10m, 28% at 15m, 32% at 20m, 32% at 25m, and 31% at 30m of the acceleration checkpoints. An improved prediction model using forward selection, resulted in that jump distance, PV (peak velocity), PF (peak force), and Concentric time (s) of the unilateral broad jump predicted 35% of the variance at 5m and 65% of the variance at 10m. Additionally, a model using only distance and PV of the unilateral broad jump had the following prediction variances: 65% at 15m, 55% at 20m, 54% at 25m, and 53% at 30m checkpoints. CONCLUSION: The unilateral broad jump prediction model improves when PV is included in the prediction model. However, bilateral broad bump with distance was the best predictor of acceleration sprint times from a standing start to the 5m through 30m checkpoints

The 2008 Emiliania huxleyi bloom along the Patagonian Shelf: Ecology, biogeochemistry and cellular calcification

Coccolithophore blooms are significant contributors to the global production and export of calcium carbonate (calcite). The Patagonian Shelf is a site of intense annual coccolithophore blooms during austral summer. During December 2008, we made intensive measurements of the ecology, biogeochemistry, and physiology of a coccolithophore bloom. High numbers of Emiliania huxleyi cells and detached coccoliths (>1 × 103 mL−1 and >10 × 103 mL−1, respectively), high particulate inorganic carbon concentrations (>10 mmol C m−2), and high calcite production (up to 7.3 mmol C m−2 d−1) all characterized bloom waters. The bloom was dominated by the low-calcite-containing B/C morphotype of Emiliania huxleyi, although a small (30%, similar to estimates for E. huxleyi and indicative of a significant role for this diatom in bloom biogeochemistry. Cell-normalized calcification rates, when corrected for a high number of nonactive cells, were relatively high and when normalized to estimates of coccolith calcite indicate excessive coccolith production in the declining phase of the bloom. We find that low measures of calcite and calcite production relative to other blooms in the global ocean indicate that the dominance of the B/C morphotype may lead to overall lower calcite production. Globally, this suggests that morphotype composition influences regional bloom inventories of carbonate production and export and that climate-induced changes in morphotype biogeography could affect the carbon cycle