LEAF HAIRS IN ENCELIA (ASTERACEAE)

Four different kinds of leaf hairs occur in Encelia species. These are unicellular-based and multicellular-based uniseriate hairs, moniliform hairs, and biseriate glandular hairs. The unicellular-based uniseriate hairs appear responsible for increased leaf spectral reflectance by species within the genus. In particular, it appears that elongation of the distal cell of the uniseriate hair is necessary for increased leaf reflectance.     

Heating properties of morphs of the mangrove snail Littoraria pallescens

The rate of heating and the temperature attained after 10 and 20 min have been examined for shells of the yellow, dark and orange morphs of the mangrove leaf snail Littoraria pallescens. Under the experimental conditions used, heating from 20 to 40C took 5–10 min and thereafter the temperature remained roughly constant for up to 20 min. This represents temperature conditions which the animals are likely to experience in the wild. Large shells heat more slowly than small ones and reach lower temperatures. At around 40C yellows are on average 1.5C cooler than the dark morph, and orange individuals lie between. This difference could account for the observed difference between morphs in their choice of preferred leaf surface. Besides differing in colour, yellows are thinner and less heavy than dark shells, which probably contributes to the fact that they arc less robust.     

Reactions of copper(II) and nickel(II) compounds of 6-methyl-2-picolylamine with acetone,including and x-ray structural analysis of [Ni(C20H28N4)(NO3)]NO3

The reaction with acetone of nickel(II) and copper(II) bis-chelated compounds of 6-methyl-2-pyridylmethylamine gives compounds of the quadridentate [N₄] ligand 2,6-diaza-1,7-bis-(6′-methyl-2′-pyridyl)-3,5,5-trimethyl-hept-2-ene(Q). In the nickel series also, a bis-chelated perchlorate of the terdentate ligand 2-aza-1-(6′-methyl-2′-pyridyl)-3-methyl-hex-2-ene-5-one was obtained. In the copper series, five-coordinate species [Cu(Q)X]X (X = Br, I, NCS) and [Cu(QX]ClO₄ (X = Cl) were isolated. If left in acetone, these undergo further reaction, with increasing ease in the order Cl < Br < I. An intermediate formation of a transient brown colour suggests the possible involvement of a copper(I) intermediate. The nature of the products was established by an X-ray analysis of the structure of [Ni(Q)NO₃]NO₃. Crystals are orthorhombic, a = 20.36(2), b = 13.38(1), c = 8.226(5) Å, space group Pna2₁. Using two-circle diffractometer data (1598 reflections), the structure was solved by Patterson and Fourier methods, and refined by block diagonal least-squares methods to a final R of 0.030. The expected quadridentate ligand was found in the cis-β configuration about the metal, with coordination sphere completed by a bidentate nitrate. Bond-lengths and angles within the molecular cation were unexceptionable considering the small ‘bite’ of the chelated nitrato group of only 59°.     

Induction of lysozymelike activity in the hemolymph and hemocytes of an insect, Spodoptera eridania

Lysozymelike activity is present in the hemocytes and cell-free hemolymph of Spodoptera eridania. Its level remains essentially constant during larval development and can be induced by injection of various foreign materials. Serum bacteriolytic activity rises 24 hr after injection of saline, BSA, bacteria, bacterial endotoxin (LPS), latex particles, or sham injection. However, the magnitude and subsequent duration of the response depends on the nature of the injected material. The response is transient following sham injection or injection of soluble substances, such as saline and BSA, as compared to treatment with latex or bacteria. Both soluble and insoluble fractions of bacterial LPS preparations stimulated the lysozyme response. The response to a single injection of E. coli LPS was dose dependent and persisted for at least 5 days; however, additional injections had no effect on serum lysozyme level. The basal intracellular lysozyme level was significantly increased by E. coli LPS injection. Lysozyme release by hemocytes was proportional to intracellular concentration and did not increase after phagocytic stimulation of hemocytes.     

An evaluation of randomization models for nested species subsets analysis

Randomization models, often termed “null” models, have been widely used since the 1970s in studies of species community and biogeographic patterns. More recently they have been used to test for nested species subset patterns (or nestedness) among assemblages of species occupying spatially subdivided habitats, such as island archipelagoes and terrestrial habitat patches. Nestedness occurs when the species occupying small or species-poor sites have a strong tendency to form proper subsets of richer species assemblages. In this paper, we examine the ability of several published simulation models to detect, in an unbiased way, nested subset patterns from a simple matrix of site-by-species presence-absence data. Each approach attempts to build in biological realism by following the assumption that the ecological processes that generated the patterns observed in nature would, if they could be repeated many times over using the same species and landscape configuration, produce islands with the same number of species and species present on the same number of islands as observed. In mathematical terms, the mean marginal totals (column and row sums) of many simulated matrices would match those of the observed matrix. Results of model simulations suggest that the true probability of a species occupying any given site cannot be estimated unambiguously. Nearly all of the models tested were shown to bias simulation matrices toward low levels of nestedness, increasing the probability of a Type I statistical error. Further, desired marginal totals could be obtained only through ad-hoc manipulation of the calculated probabilities. Paradoxically, when such results are achieved, the model is shown to have little statistical power to detect nestedness. This is because nestedness is determined largely by the marginal totals of the matrix themselves, as suggested earlier by Wright and Reeves. We conclude that at the present time, the best null model for nested subset patterns may be one based on equal probabilities of occurrence for all species. Examples of such models are readily available in the literature. Received: 3 February 1997 / Accepted: 21 September 1997     

The effects of high-intensity intermittent exercise on the plasma concentrations of glutamine and organic acids

Glutamine is an essential substrate for the proper functioning of cells of the immune system. Falls in plasma glutamine concentration after exercise may have deleterious consequences for immune cell function and render the individual more susceptible to infection. The purpose of the present study was to examine changes in plasma glutamine concentration (measured using a validated enzymatic spectrophotometric method) following an acute bout of intermittent high-intensity exercise. Eight well-trained male games players took part in the study. Subjects reported to the laboratory following an overnight fast and performed a 1-h cycle exercise task consisting of 20 1-min periods at 100% maximal O₂ consumption (V˙O_2max) each separated by 2 min of recovery at 30% V˙O_2max. Venous blood samples were taken before exercise and at 5 min, 1 h, 2.5 h, 5 h and 24 h post-exercise. Glutamine was measured by enzymatic spectrophotometric determination of the ammonia concentration before and after treatment of the plasma with glutaminase (EC 3.5.1.2). Plasma glutamine concentration did not fall in the immediate post-exercise period [pre-exercise 681 (23) μM compared with 663 (46) μM at 5 min post-exercise, mean (SEM)], but fell to 572 (35) μM at 5 h post-exercise (P < 0.05 compared with pre-exercise). Plasma lactate concentration rose to 8.8 (1.0) mM at the end of exercise and fell to 1.8 (0.4) mM at 1 h post-exercise, but plasma concentrations of free fatty acids and β-hydroxybutyrate both rose substantially in the post-exercise period (to 240% and 400% of pre-exercise levels, respectively). The circulating leucocyte count increased significantly during exercise (P < 0.01), continued to increase in the hours following exercise and peaked at 2.5 h post-exercise (mainly due to a neutrophilia). The fall in the plasma glutamine concentration at 5 h post-exercise could be due to increased renal uptake of glutamine, which generally occurs in conditions of metabolic acidosis or due to a greater removal of glutamine from the plasma resulting from the elevated circulating leucocyte count. Accepted: 22 October 1997