Warming experiments underpredict plant phenological responses to climate change

Warming experiments are increasingly relied on to estimate plant responses to global climate change. For experiments to provide meaningful predictions of future responses, they should reflect the empirical record of responses to temperature variability and recent warming, including advances in the timing of flowering and leafing. We compared phenology (the timing of recurring life history events) in observational studies and warming experiments spanning four continents and 1,634 plant species using a common measure of temperature sensitivity (change in days per degree Celsius). We show that warming experiments underpredict advances in the timing of flowering and leafing by 8.5-fold and 4.0-fold, respectively, compared with long-term observations. For species that were common to both study types, the experimental results did not match the observational data in sign or magnitude. The observational data also showed that species that flower earliest in the spring have the highest temperature sensitivities, but this trend was not reflected in the experimental data. These significant mismatches seem to be unrelated to the study length or to the degree of manipulated warming in experiments. The discrepancy between experiments and observations, however, could arise from complex interactions among multiple drivers in the observational data, or it could arise from remediable artefacts in the experiments that result in lower irradiance and drier soils, thus dampening the phenological responses to manipulated warming. Our results introduce uncertainty into ecosystem models that are informed solely by experiments and suggest that responses to climate change that are predicted using such models should be re-evaluated.     

Integration of syntactic and semantic properties of the DNA code reveals chromosomes as thermodynamic machines converting energy into information

Understanding genetic regulation is a problem of fundamental importance. Recent studies have made it increasingly evident that, whereas the cellular genetic regulation system embodies multiple disparate elements engaged in numerous interactions, the central issue is the genuine function of the DNA molecule as information carrier. Compelling evidence suggests that the DNA, in addition to the digital information of the linear genetic code (the semantics), encodes equally important continuous, or analog, information that specifies the structural dynamics and configuration (the syntax) of the polymer. These two DNA information types are intrinsically coupled in the primary sequence organisation, and this coupling is directly relevant to regulation of the genetic function. In this review, we emphasise the critical need of holistic integration of the DNA information as a prerequisite for understanding the organisational complexity of the genetic regulation system.     

Structural and evolutionary analysis of HLA-D-region products

The major histocompatibility complex (MHC)--HLA in man and H-2 in mouse--encodes two classes of cell-surface antigens involved in the immune response. The amino acid sequences have been determined for a number of these molecules. Class I antigens, typified by the HLA-ABC antigens, are composed of a 43,000-molecular weight (MW) glycosylated transmembrane polypeptide with three external domains (alpha 1, alpha 2 and alpha 3), of which the one nearest the membrane (alpha 3) is associated with a 12,000-MW nonglycosylated polypeptide, beta 2-microglobulin. The HLA-D-region or class II antigens, DR, DC and SB, are composed of two glycosylated transmembrane polypeptides, of MWs 34,000 (alpha-chain) and 28,000 (beta-chain). Both chains have two external domains which presumably associate with each other, alpha 2, beta 2 being membrane proximal and alpha 1, beta 1 N-terminal and membrane distal. All four membrane-proximal domains (class I alpha 3, beta 2-microglobulin, class II alpha 2 and beta 2) have amino acid sequences that show significant similarities with immunoglobulin constant-region domains. This, together with the similarly placed internal disulphide bonds, suggests they might have an immunoglobulin-like structure (Fig. 1). We have now used computer graphics techniques to predict a detailed three-dimensional structure for the membrane-proximal domains of the class II antigens (alpha 2 and beta 2) based on the known coordinates of immunoglobulin constant domains (Fig. 2). The transmembrane regions of class II antigens have been modelled as two alpha-helices packed together. The proposed structure accounts for conservation of amino acids and leads to evolutionary predictions.