Plant functional types and climatic change: Introduction

Abstract. Plant functional types are a necessary device for reducing the complex and often uncharted characteristics of species diversity in function and structure when attempting to project the nature and function of species assemblages into future environments. A workshop was held to review the current methods commonly used for defining plant functional types, either globally or for particular biomes, and to compare them with the field experiences of specialists for specific biomes of the world. The methods fall into either an objective and inductive approach or a subjective and deductive approach. When the different methods were tested, it was generally found that the classification for one site or environment was not wholly applicable to a different site or environment. However, the degree of change which is necessary for adjustment between environments may not prove to be a major limitation in the use of functional types.     

Aspiration biopsy smear pattern as a predictor of biologic behavior in adenocarcinoma of the breast.

Fine needle aspiration cytology (FNAC) is increasingly used for the initial diagnosis of breast carcinoma, yet few studies have investigated the prognostic importance of cytologic features seen in breast FNAC. We studied the relationship between prognosis and smear morphology in 26 patients with breast carcinoma for whom information from long-term follow-up was available. Specifically, we attempted to correlate nuclear grade and smear pattern with hormonal receptor status, lymph node status, breast recurrence and distant metastasis. In an additional five patients (on whom insufficient follow-up information was available), smear pattern and nuclear grade were correlated with hormonal status. Smears were classified into three patterns: typical (sheets and clusters), individual cell predominant and cluster predominant. The individual cell predominant pattern was associated with an increased incidence of distant metastasis when compared with the other two smear patterns (P less than .05). No statistically significant association was observed between smear pattern and the other factors studied. Nuclear grade 2 (of 3) was also associated with an increased incidence of distant metastasis. However, most grade 2 tumors (10/12) were of the individual cell predominant pattern. Smear pattern classification, along with DNA ploidy analysis and hormone receptor analysis of FNAC-derived material, may yield valuable prognostic information.     

Axial ligands of chloroplast cytochrome b-559: identification and requirement for a heme-cross-linked polypeptide structure

Optical, resonance Raman, and electron paramagnetic resonance spectroscopies have been used to characterize the ligands and spin state of the chloroplast cytochrome b-559. The protein was isolated from both maize and spinach in a low-potential form. The spectroscopic data indicate that the heme iron in both ferric and ferrous cytochrome b-559 is in its low-spin state and ligated in its fifth and sixth coordination positions by histidine nitrogens. Electron paramagnetic resonance data for the purified spinach cytochrome are in good agreement with those determined by Bergstr?m and V?nng?rd [Bergstr?m, J., & V?nng?rd, T. (1982) Biochim. Biophys. Acta 682, 452-456] for a low-potential membrane-bound form of cytochrome b-559. The g values of high-potential cytochrome b-559 are shifted from those of its low-potential forms; this shift is interpreted as arising from a deviation of the planes of the two axial histidine imidazole rings from a parallel orientation. The model is consistent with the physical data and may also account for the facility with which cytochrome b-559 can be converted between low- and high-potential forms. Recent biochemical and molecular biological data [Widger, W. R., Cramer, W. A., Hermodson, M., Meyer, D., & Gullifor, M. (1984) J. Biol. Chem. 259, 3870-3876; Herrmann, R. G., Alt, J., Schiller, D., Cramer, W. A., & Widger, W. R. (1984) FEBS Lett. 179, 239-244] have shown that two polypeptides, one with 83 residues and a second with 39 residues, most likely constitute the protein of the cytochrome.(ABSTRACT TRUNCATED AT 250 WORDS)     

Cation-exchange displacement chromatography of proteins with protamine displacers: effect of induced salt gradients.

Protamine was investigated for its utility as a protein displacer in cation-exchange systems. Although the protamine solution contained several variants of the molecule, the high affinity of all of the components in this heterogeneous biopolymer enabled it to act as an efficient protein displacer. To facilitate parameter estimation of the protamine, a preliminary purification was carried out by preparative elution chromatography. Chromatographic parameters of both the feed proteins and protamine displacer were obtained for use in a multicomponent steric mass action ion-exchange displacement model. Model simulations were compared to displacement results under both moderate and intense induced salt gradient conditions. In both cases, excellent agreement was obtained between the displacement experiments and theoretical predictions. In addition, these studies serve to dramatize the importance of induced salt gradients in ion-exchange displacement systems.     

Use of fluorescently labelled deoxyribonuclease I to spatially measure G-actin levels in migrating and non-migrating cells.

Lamellipodium protrusion is linked to actin filament disassembly in migrating fibroblasts [Cramer, 1999: Curr. Biol. 9:1095-1105]. To further study this relationship, we have identified a method to specifically and sensitively detect G-actin in distinct spatial locations in motile cells using deoxyribonuclease I (DNase I). Although DNase I can bind both G- and F-actin in vitro [Mannherz et al., 1980: Eur. J. Biochem. 95:377-385], when cells were fixed in formaldehyde and permeabilized in detergent, fluorescently-labelled DNase I specifically stained G-actin and not F-actin. 92-98% of actin molecules were stably retained in cells during fixation and permeabilization. Further, increasing or decreasing cellular G-actin concentration by treating live cells with latrunculin-A or jasplakinolide, respectively, caused a respective increase and decrease in DNase I cell-staining intensity as expected. These changes in DNase I fluorescence intensity accurately reflected increases and decreases in cellular G-actin concentration independently measured in lysates prepared from drug-treated live cells (regression coefficient = 0.98). This shows that DNase I cell-staining is very sensitive using this method. Applying this method, we found that the ratio of G-/F-actin is lower in both the lamellipodium and in a broad band immediately behind the lamellipodium in migrating compared to non-migrating fibroblasts. Thus, we predict that protrusion of the lamellipodium in migrating fibroblasts requires tight coupling to filament disassembly at least in part because G-actin is relatively limited within and behind the lamellipodium. This is the first report to directly demonstrate high sensitivity of cell-staining for any G-actin probe and this, together with the ready commercial accessibility of fluorescently-labelled DNase I, make it a simple, convenient, and sensitive tool for cell-staining of G-actin.     

A physiological analogy of the niche for projecting the potential distribution of plants

Aim  To develop a physiologically based model of the plant niche for use in species distribution modelling. Location  Europe. Methods  We link the Thornley transport resistance (TTR) model with functions which describe how the TTR’s model parameters are influenced by abiotic environmental factors. The TTR model considers how carbon and nutrient uptake, and the allocation of these assimilates, influence growth. We use indirect statistical methods to estimate the model parameters from a high resolution data set on tree distribution for 22 European tree species. Results  We infer, from distribution data and abiotic forcing data, the physiological niche dimensions of 22 European tree species. We found that the model fits were reasonable (AUC: 0.79–0.964). The projected distributions were characterized by a false positive rate of 0.19 and a false negative rate 0.12. The fitted models are used to generate projections of the environmental factors that limit the range boundaries of the study species. Main conclusions  We show that physiological models can be used to derive physiological niche dimensions from species distribution data. Future work should focus on including prior information on physiological rates into the parameter estimation process. Application of the TTR model to species distribution modelling suggests new avenues for establishing explicit links between distribution and physiology, and for generating hypotheses about how ecophysiological processes influence the distribution of plants.     

Template CoMFA Generates Single 3D-QSAR Models that,for Twelve of Twelve Biological Targets,Predict All ChEMBL-Tabulated Affinities

The possible applicability of the new template CoMFA methodology to the prediction of unknown biological affinities was explored. For twelve selected targets, all ChEMBL binding affinities were used as training and/or prediction sets, making these 3D-QSAR models the most structurally diverse and among the largest ever. For six of the targets, X-ray crystallographic structures provided the aligned templates required as input (BACE, cdk1, chk2, carbonic anhydrase-II, factor Xa, PTP1B). For all targets including the other six (hERG, cyp3A4 binding, endocrine receptor, COX2, D2, and GABAa), six modeling protocols applied to only three familiar ligands provided six alternate sets of aligned templates. The statistical qualities of the six or seven models thus resulting for each individual target were remarkably similar. Also, perhaps unexpectedly, the standard deviations of the errors of cross-validation predictions accompanying model derivations were indistinguishable from the standard deviations of the errors of truly prospective predictions. These standard deviations of prediction ranged from 0.70 to 1.14 log units and averaged 0.89 (8x in concentration units) over the twelve targets, representing an average reduction of almost 50% in uncertainty, compared to the null hypothesis of “predicting” an unknown affinity to be the average of known affinities. These errors of prediction are similar to those from Tanimoto coefficients of fragment occurrence frequencies, the predominant approach to side effect prediction, which template CoMFA can augment by identifying additional active structural classes, by improving Tanimoto-only predictions, by yielding quantitative predictions of potency, and by providing interpretable guidance for avoiding or enhancing any specific target response.