Estimation of FAD-monooxygenase in microsomal preparations

The determination of the mixed function flavin-containing monooxygenase of liver by NADPH oxidation or oxygen uptake is complicated by a significant endogenous rate in the absence of specific substrate. We have defined optimal conditions for measuring this enzyme activity in hepatic microsomal preparations using NADPH oxidation. We have also found that if substrate stimulated minus endogenous NADPH oxidation rates are measured, this enzyme will be underestimated. Data are also presented which suggest that this endogenous rate can be at least partly accounted for by the presence of an endogenous substrate.     

A Comparison of Seven Strains of Lactobacillus casei var. rhamnosus in Relation to their Use in the Microbiological Assay of Serum Folate

S ummary . A comparison was made of 7 strains of Lactobacillus casei var. rhamnosus in relation to their use in the microbiological assay of serum folate. The problem of clumping by some strains could be overcome by the addition of extra salt, or chloramphenicol, to the medium. The strains showed differences in their tolerance to added salts which was measured as the Mean Inhibitory Salt Concentration. The highest salt concentration which could be used in the assay medium without affecting the serum folate results was about one-third of the Mean Inhibitory Salt Concentration and this could be less than the optimum concentration for growth. These differences in salt tolerance may provide a partial explanation of the variety of normal values reported from different laboratories.     

Separation of amino acid and amide nitrogen from plant extracts for 15N analysis

A rapid method was developed to obtain nitrogen for 15N analysis of individual amino acids and amides from plant tissue extracts. Amino or amide nitrogen was recovered as ammonia, suitable for preparation of samples for 15N emission spectrometry, using a combination of ion-exchange chromatography and distillation.     

Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change

Correlative species distribution models are frequently used to predict species’ range shifts under climate change. However, climate variables often show high collinearity and most statistical approaches require the selection of one among strongly correlated variables. When causal relationships between species presence and climate parameters are unknown, variable selection is often arbitrary, or based on predictive performance under current conditions. While this should only marginally affect current range predictions, future distributions may vary considerably when climate parameters do not change in concert. We investigated this source of uncertainty using four highly correlated climate variables together with a constant set of landscape variables in order to predict current (2010) and future (2050) distributions of four mountain bird species in central Europe. Simulating different parameterization decisions, we generated a) four models including each of the climate variables singly, b) a model taking advantage of all variables simultaneously and c) an un‐weighted average of the predictions of a). We compared model accuracy under current conditions, predicted distributions under four scenarios of climate change, and – for one species – evaluated back‐projections using historical occurrence data. Although current and future variable‐correlations remained constant, and the models’ accuracy under contemporary conditions did not differ, future range predictions varied considerably in all climate change scenarios. Averaged models and models containing all climate variables simultaneously produced intermediate predictions; the latter, however, performed best in back‐projections. This pattern, consistent across different modelling methods, indicates a benefit from including multiple climate predictors in ambiguous situations. Variable selection proved to be an important source of uncertainty for future range predictions, difficult to control using contemporary information. Small, but diverging changes of climate variables, masked by constant overall correlation patterns, can cause substantial differences between future range predictions which need to be accounted for, particularly when outcomes are intended for conservation decisions.     

Swim Speed,Behavior, and Movement of North Atlantic Right Whales (Eubalaena glacialis) in Coastal Waters of Northeastern Florida,USA

In a portion of the coastal waters of northeastern Florida, North Atlantic right whales (Eubalaena glacialis) occur close to shore from December through March. These waters are included within the designated critical habitat for right whales. Data on swim speed, behavior, and direction of movement – with photo-identification of individual whales – were gathered by a volunteer sighting network working alongside experienced scientists and supplemented by aerial observations. In seven years (2001–2007), 109 tracking periods or “follows” were conducted on right whales during 600 hours of observation from shore-based observers. The whales were categorized as mother-calf pairs, singles and non-mother-calf pairs, and groups of 3 or more individuals. Sample size and amount of information obtained was largest for mother-calf pairs. Swim speeds varied within and across observation periods, individuals, and categories. One category, singles and non mother-calf pairs, was significantly different from the other two – and had the largest variability and the fastest swim speeds. Median swim speed for all categories was 1.3 km/h (0.7 kn), with examples that suggest swim speeds differ between within-habitat movement and migration-mode travel. Within-habitat right whales often travel back-and-forth in a north-south, along-coast, direction, which may cause an individual to pass by a given point on several occasions, potentially increasing anthropogenic risk exposure (e.g., vessel collision, fishing gear entanglement, harassment). At times, mothers and calves engaged in lengthy stationary periods (up to 7.5 h) that included rest, nursing, and play. These mother-calf interactions have implications for communication, learning, and survival. Overall, these behaviors are relevant to population status, distribution, calving success, correlation to environmental parameters, survey efficacy, and human-impacts mitigation. These observations contribute important parameters to conservation biology, predictive modeling, and management. However, while we often search for predictions, patterns, and means, the message here is also about variability and the behavioral characteristics of individual whales.     

Microsatellite based analysis of genetic diversity of popular black pepper genotypes in South India

The genotypes of black pepper are morphologically and genotypically highly diverse and carry all the cumulative variations inherited and maintained through generations. The present study describes the Simple Sequence Repeat (SSR) or microsatellite based assessment of genetic diversity among forty popular genotypes and four different species of black pepper in Southern region of India. For isolation of SSR primers, our earlier attempts with enrichment strategies like ‘Triplex affinity capture’ did not extract a single SSR primer due to close proximity of restriction sites to the SSR motif. Hence we developed a ‘Sequential Reverse Genome Walking (SRGW)’ strategy with better enrichment efficiency of 72% that generated seven new SSR primers. Genotyping precisely discriminated majority of genotypes which indicated that the SSR primers are very informative. A total of 62 alleles with an average of 15.5 alleles over 4 loci were identified. All the SSR primers showed an average Polymorphism Information Content (PIC) value of 0.85. The estimated average Shared Allele Frequency ranged between 1.57 and 20.12%. The PCA plot revealed four closely related individual groups and identified Karimunda, Wild pepper and a local landrace ‘local b’ as the most divergent genotypes. Cluster analysis exposed the genetic relatedness between hybrids and selections with other known cultivars. The introduction of black pepper from South India to Malaysia was emphasized from the observation of genetic similarity of Malaysian cultivar ‘Kuching’ with other indigenous popular cultivars. The study was first to portray the precise genetic relatedness among the major indigenous genotypes of black pepper.     

Evolutionary history underlies plant physiological responses to global change since the last glacial maximum

Assessing family‐ and species‐level variation in physiological responses to global change across geologic time is critical for understanding factors that underlie changes in species distributions and community composition. Here, we used stable carbon isotopes, leaf nitrogen content and stomatal measurements to assess changes in leaf‐level physiology in a mixed conifer community that underwent significant changes in composition since the last glacial maximum (LGM) (21 kyr BP). Our results indicate that most plant taxa decreased stomatal conductance and/or maximum photosynthetic capacity in response to changing conditions since the LGM. However, plant families and species differed in the timing and magnitude of these physiological responses, and responses were more similar within families than within co‐occurring species assemblages. This suggests that adaptation at the level of leaf physiology may not be the main determinant of shifts in community composition, and that plant evolutionary history may drive physiological adaptation to global change over recent geologic time.