Phospholipids chiral at phosphorus: Fourier-transform infrared study on the gel-liquid crystalline transition of chiral thiophosphatidylcholine

Fourier-transform infrared spectroscopy (FT-IR) was used to study the structural properties of Rp, Sp, and Rp + Sp isomers of 1,2-dipalmitoyl-sn-glycero-3-thiophosphocholine (DPPsC), in comparison with those of 1,2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC). For the vibrational modes of acyl chains, isomers of DPPsC show similar temperature and phase dependence to DPPC. However, the Rp isomer of DPPsC exhibits several unique properties: the CH2 symmetric stretching band is unusually weak, the CH2 asymmetric stretching band is unusually narrow, and the CH2 wagging bands do not disappear completely at temperatures above the main transition. These differences could imply a tighter packing and be responsible for the unique phase-transition property of (Rp)-DPPsC. For the vibrational modes of the thiophosphodiester group, the frequency of the P-O stretching mode of DPPsC suggests that the POS- triad exists predominantly in the mesomeric form. This is in contrast to the structure of nucleoside phosphorothioates where charge localization at sulfur has been demonstrated [Iyengar, R., Eckstein, F., & Frey, P. A. (1984) J. Am. Chem. Soc. 106, 8309-8310]. This suggests that the different biophysical properties between isomers of DPPsC are not due to different charge distribution in the POS- triad or different geometry of charge distribution on the membrane surface. Instead, factors such as size or hydration property of oxygen and sulfur, as well as the different configuration at phosphorus, could be responsible for the differences in the conformation and packing of acyl chains, as revealed by the different properties in the CH2 stretching and wagging modes of DPPsC.     

Alpha and beta forms of cytochrome c oxidase observed in rat heart myocytes by low temperature Fourier transform infrared spectroscopy

Carbon monoxide bound to myoglobin and cytochrome c oxidase in separated adult rat heart myocytes has been observed with Fourier transform IR spectroscopy at low temperatures. CO complexes of these two proteins can be spectrally separated through temperature manipulation of the relaxation of the photolyzed systems. Photolyzed carboxymyoglobin relaxes very rapidly above 80 K, whereas the CO photolyzed from cytochrome a3 associates with CuB and relaxes very slowly below 140 K. Cytochrome c oxidase is found to be present in two major molecular forms which we designate alpha and beta. Each form contains an a3Fe and its associated CuB which we observe by their CO complexes. The predominant FeCO band, the alpha form of cytochrome oxidase, is similar to that previously seen in beef heart mitochondria, but with a slightly larger activation enthalpy, delta H = 46 kJ/mol. At least one of the beta forms is similar, but two have not been observed in beef heart mitochondria. Upon photolysis of alpha-FeCO, the alpha-CuCO species is formed. This band splits into two at low temperature. Up to half of the FeCO band area of the intact myocytes is distributed among three or more minor species (beta forms). The beta-FeCO bands all appear to be associated with only one beta-CuCO band which does not split at low temperature. After photo-dissociation of CO, the beta forms relax considerably faster than the alpha form, achieving 50% recombination in 10% of the time required for the alpha form. In a tissue slice from an opossum heart exposed to CO, we observed alpha and beta forms of cytochrome oxidase very similar to those in the rat heart myocytes. The cause of the differences between the alpha and beta forms of the enzyme is unknown, but their possible role in the control of respiration is discussed. Carboxymyoglobin contained within intact rat heart myocytes was very similar to sperm whale carboxymyoglobin, but with a much smaller amount of the lower frequency minor component.     

Base pairing in wheat germ ribosomal 5S RNA as measured by ultraviolet absorption, circular dichroism, and Fourier-transform infrared spectrometry

Ultraviolet absorption (UV) and circular dichroism (CD) spectra of wheat germ 5S RNA, when compared to tRNAPhe, indicate a largely base-paired and base-stacked helical structure, containing up to 36 base pairs. Fourier-transform infrared (FT-IR) spectra of tRNAPhe and wheat germ ribosomal 5S RNA have been acquired at 30 and 90 degrees C. From the difference of the FT-IR spectra between 90 and 30 degrees C, the number of base pairs in both RNAs was determined by modification of a previously published procedure [Burkey, K. O., Marshall, A. G., & Alben, J. O. (1983) Biochemistry 22, 4223-4229]. The base-pair composition and total base-pair number from FT-IR data are now consistent for the first time with optical (UV, CD, Raman) and NMR results for ribosomal 5S RNA. Without added Mg2+, tRNAPhe gave 18 +/- 2 base pairs [7 A-U and 11 G-C], in good agreement with the number of secondary base pairs from X-ray crystallography [8 A-U, 12 G-C, and 1 G-U]. Within the 10% precision of the FT-IR method, wheat germ 5S RNA exhibits essentially the same number of base pairs [14 A-U, 17 G-C, and 5 G-U; for a total of 36] in the absence of Mg2+ as in the presence of Mg2+ [14 A-U, 18 G-C, and 3 G-U; for a total of 35], in agreement with the UV hyperchromism estimate of G-C/(A-U + G-C) = 0.58.(ABSTRACT TRUNCATED AT 250 WORDS)     

Determination of base pairing in ribonucleic acid by Fourier-transform infrared spectrometry: yeast ribosomal 5S ribonucleic acid

Fourier-transform infrared (FT-IR) spectra of yeast ribosomal 5S RNA have been acquired at several temperatures between 30 and 90 degrees C. The difference spectrum between 90 (bases unstacked) and 30 degrees C (bases stacked) provides a measure of base stacking in the RNA. Calibration difference spectra corresponding to stacking of G-C or A-U pairs are obtained from "reference" FT-IR spectra of poly(rG) X poly(rC) minus 5'-GMP and 5'-CMP or poly(rA) X poly(rU) minus 5'-AMP and 5'-UMP. The best fit linear combination of the calibration G-C and A-U difference spectra to the 5S RNA (90-30 degrees C) difference spectrum leads to a total of 25 +/- 3 base pairs (17 G-C pairs + 8 A-U pairs) for the native yeast 5S RNA in the absence of Mg2+. In the presence of Mg2+, an additional six base pairs are detected by FT-IR (one G-C and five A-U). FT-IR melting curve midpoints show that A-U and G-C pairs melt together (65 and 63 degrees C) in the presence of Mg2+ but A-U pairs melt before G-C pairs (47 vs. 54 degrees C) in the absence of Mg2+.     

Dynamic interactions of CO with a3Fe and CuB in cytochrome c oxidase in beef heart mitochondria studied by Fourier transform infrared spectroscopy at low temperatures

Carbon monoxide bound to cytochrome c oxidase has been observed by Fourier transform infrared spectroscopy between 10 K and 280 K in the dark and during and after continuous photolysis. CO bound to a3Fe absorbs near 1963 cm-1, with minor bands at lower frequencies. Photolysis at low temperatures transfers CO to CuB, with the major component near 2062 cm-1 and a minor one near 2043 cm-1. Vibrational absorptions are assigned by comparison with heme and copper carbonyls, by frequency dependence of all bands on the isotopic mass of CO, and by similar behavior of major and minor components with photolysis and relaxation kinetics as a function of temperature. Reformation of a3FeCO after photolysis is an apparent first order process below 210 K with a distribution of rate constants. The kinetics are well described by a power law. Arrhenius behavior is followed between 140 K and 180 K to yield a peak activation enthalpy of 40.3 kJ/mol and a distribution in g(H) = 2.56 kJ/mol (full width at half-maximum). The major component of a3FeCO shows a very narrow CO absorption band (full width at half-maximum = 2.4 cm-1), while that of CuBCO shows a broader CO absorption (full width at half-maximum = 6 cm-1). These data indicate that in the reduced carbon monoxide complex, a3FeCO is in highly ordered nonpolar surroundings sufficiently separated from CuB that it is not perturbed by motion of the latter, while CuBCO is in less ordered, more flexible surroundings.     

Metabolite profiling for analysis of yeast stress response during very high gravity ethanol fermentations

A laboratory strain and an industrial strain of Saccharomyces cerevisiae were grown at high substrate concentration, so-called very high gravity (VHG) fermentation. Simultaneous saccharification and fermentation (SSF) was applied in a batch process using 280 g/L maltodextrin as carbon source. It was shown that known ethanol and osmotic stress responses such as decreased growth rate, lower viability, higher energy consumption, and intracellular trehalose accumulation occur in VHG SSF for both strains when compared with standard laboratory medium (20 g/L glucose). The laboratory strain was the most affected. GC-MS metabolite profiling was applied for assessing the yeast stress response influence on cellular metabolism. It was found that metabolite profiles originating from different strains and/or fermentation conditions were unique and could be distinguished with the help of multivariate data analysis. Several differences in the metabolic responses to stressing conditions were revealed, particularly the increased energy consumption of stressed cells was also reflected in increased intracellular concentrations of pyruvate and related metabolites.     

A resurrection study reveals limited evolution of thermal performance in response to recent climate change across the geographic range of the scarlet monkeyflower

Evolutionary rescue can prevent populations from declining under climate change, and should be more likely at high-latitude, “leading” edges of species’ ranges due to greater temperature anomalies and gene flow from warm-adapted populations. Using a resurrection study with seeds collected before and after a 7-year period of record warming, we tested for thermal adaptation in the scarlet monkeyflower Mimulus cardinalis. We grew ancestors and descendants from northern-edge, central, and southern-edge populations across eight temperatures. Despite recent climate anomalies, populations showed limited evolution of thermal performance curves. However, one southern population evolved a narrower thermal performance breadth by 1.31°C, which matches the direction and magnitude of the average decrease in seasonality experienced. Consistent with the climate variability hypothesis, thermal performance breadth increased with temperature seasonality across the species’ geographic range. Inconsistent with performance trade-offs between low and high temperatures across populations, we did not detect a positive relationship between thermal optimum and mean temperature. These findings fail to support the hypothesis that evolutionary response to climate change is greatest at the leading edge, and suggest that the evolution of thermal performance is unlikely to rescue most populations from the detrimental effects of rapidly changing climate.     

Population genetic structure and connectivity of the seagrass Thalassia hemprichii in the Western Indian Ocean is influenced by predominant ocean currents

This study is the first large‐scale genetic population study of a widespread climax species of seagrass, Thalassia hemprichii, in the Western Indian Ocean (WIO). The aim was to understand genetic population structure and connectivity of T. hemprichii in relation to hydrodynamic features. We genotyped 205 individual seagrass shoots from 11 sites across the WIO, spanning over a distance of ~2,700 km, with twelve microsatellite markers. Seagrass shoots were sampled in Kenya, Tanzania (mainland and Zanzibar), Mozambique, and Madagascar: 4–26°S and 33–48°E. We assessed clonality and visualized genetic diversity and genetic population differentiation. We used Bayesian clustering approaches (TESS) to trace spatial ancestry of populations and used directional migration rates (DivMigrate) to identify sources of gene flow. We identified four genetically differentiated groups: (a) samples from the Zanzibar channel; (b) Mozambique; (c) Madagascar; and (d) the east coast of Zanzibar and Kenya. Significant pairwise population genetic differentiation was found among many sites. Isolation by distance was detected for the estimated magnitude of divergence (D_EST), but the three predominant ocean current systems (i.e., East African Coastal Current, North East Madagascar Current, and the South Equatorial Current) also determine genetic connectivity and genetic structure. Directional migration rates indicate that Madagascar acts as an important source population. Overall, clonality was moderate to high with large differences among sampling sites, indicating relatively low, but spatially variable sexual reproduction rates. The strongest genetic break was identified for three sites in the Zanzibar channel. Although isolation by distance is present, this study suggests that the three regionally predominant ocean current systems (i.e., East African Coastal Current, North East Madagascar Current, and the South Equatorial Current) rather than distance determine genetic connectivity and structure of T. hemprichii in the WIO. If the goal is to maintain genetic connectivity of T. hemprichii within the WIO, conservation planning and implementation of marine protection should be considered at the regional scale—across national borders.     

Classifying behavior from short‐interval biologging data: An example with GPS tracking of birds

1. Recent advances in digital data collection have spurred accumulation of immense quantities of data that have potential to lead to remarkable ecological insight, but that also present analytic challenges. In the case of biologging data from birds, common analytical approaches to classifying movement behaviors are largely inappropriate for these massive data sets.
2. We apply a framework for using K‐means clustering to classify bird behavior using points from short time interval GPS tracks. K‐means clustering is a well‐known and computationally efficient statistical tool that has been used in animal movement studies primarily for clustering segments of consecutive points. To illustrate the utility of our approach, we apply K‐means clustering to six focal variables derived from GPS data collected at 1–11 s intervals from free‐flying bald eagles (Haliaeetus leucocephalus) throughout the state of Iowa, USA. We illustrate how these data can be used to identify behaviors and life‐stage‐ and age‐related variation in behavior.
3. After filtering for data quality, the K‐means algorithm identified four clusters in >2 million GPS telemetry data points. These four clusters corresponded to three movement states: ascending, flapping, and gliding flight; and one non‐moving state: perching. Mapping these states illustrated how they corresponded tightly to expectations derived from natural history observations; for example, long periods of ascending flight were often followed by long gliding descents, birds alternated between flapping and gliding flight.
4. The K‐means clustering approach we applied is both an efficient and effective mechanism to classify and interpret short‐interval biologging data to understand movement behaviors. Furthermore, because it can apply to an abundance of very short, irregular, and high‐dimensional movement data, it provides insight into small‐scale variation in behavior that would not be possible with many other analytical approaches.