Formation and characterisitcs of hepatic dexamethasone-receptor complexes of different molecular weight

The dexamethasone-binding receptor protein in rat liver cytosol has a Stokes radius of 61 Å and a sedimentation coefficient of 4.0 S. In contrast, cell nuclei labelled with [³H]dexamethasone in vivo or in vitro (reconstitution experiments with [³H]dexamethasone-labelled cytosol and isolated unlabelled nuclei) contain a high-salt-extractable dexamethasone-receptor complex with a Stokes radius of 30–36 Å and a sedimentation coefficient of 3.2 S. Exposure of liver homogenate or 1000 × g homogenate supernatant to low ionic strenght during preparation of cytosol resulted in conversion of the 61 Å to a 36 Å complex very similar to the intranuclear form of dexamethasone receptor. 61 → 36 Å complex-verting activity was present in both the 100 × g ?10 000 × g sediment of liver homogenate, from which it could be extracted by hypotonic media, and in the liver cell nuclei, from which it could be extracted by hypertonic media. Mild digestion of the 61 Å dexamethasone-receptor complex with trypsin also gave rise to a complex with a Stokes radius of 36 Å. Reconstitution experiments with isolated liver cell nuclei indicated that both the 61 Å and 36 Å dexamethasone-receptor complexes were taken up by the nuclei; reextraction of the nuclei incubated with the 61 Å complex revealed that this form had been converted to the 30–36 Å complex.Further digestion of teh 61 and 36 Å [³H]dexamethasone-receptor complexes with hypotonic extract of the 1000 × g ?10 000 × g sediment of liver homogenate or with trypsin resulted in formation of a third complex with a Stokes radius of 19 Å and a sedimentation coefficient of 2.5 S. The approximate molecular weights of the 61, 36 and 19 Å dexamethasone-receptor complexes were calculated as 102 000, 46 00 and 19 000, respectively, and the frictional ratios of the molecules as 1. 84, 1. 38 amd 1.00, respectively.It is concluded that the nuclear 30–36 Å dexamethasone-receptor complex is formed from the cytosol 61 Å complex by proteolytic digestion and that this latter protein contains at least two sites with a relatively high sensitivity to protelytic cleavage.     

The Multi-allelic Genetic Architecture of a Variance-Heterogeneity Locus for Molybdenum Concentration in Leaves Acts as a Source of Unexplained Additive Genetic Variance

Genome-wide association (GWA) analyses have generally been used to detect individual loci contributing to the phenotypic diversity in a population by the effects of these loci on the trait mean. More rarely, loci have also been detected based on variance differences between genotypes. Several hypotheses have been proposed to explain the possible genetic mechanisms leading to such variance signals. However, little is known about what causes these signals, or whether this genetic variance-heterogeneity reflects mechanisms of importance in natural populations. Previously, we identified a variance-heterogeneity GWA (vGWA) signal for leaf molybdenum concentrations in Arabidopsis thaliana. Here, fine-mapping of this association reveals that the vGWA emerges from the effects of three independent genetic polymorphisms that all are in strong LD with the markers displaying the genetic variance-heterogeneity. By revealing the genetic architecture underlying this vGWA signal, we uncovered the molecular source of a significant amount of hidden additive genetic variation or “missing heritability”. Two of the three polymorphisms underlying the genetic variance-heterogeneity are promoter variants for Molybdate transporter 1 (MOT1), and the third a variant located ~25 kb downstream of this gene. A fourth independent association was also detected ~600 kb upstream of MOT1. Use of a T-DNA knockout allele highlights Copper Transporter 6; COPT6 (AT2G26975) as a strong candidate gene for this association. Our results show that an extended LD across a complex locus including multiple functional alleles can lead to a variance-heterogeneity between genotypes in natural populations. Further, they provide novel insights into the genetic regulation of ion homeostasis in A. thaliana, and empirically confirm that variance-heterogeneity based GWA methods are a valuable tool to detect novel associations of biological importance in natural populations.     

Genetic Variations in the Antibody Response in Young Bulls

Considerable evidence for the existence of a direct genetic control of the immune response has been presented during recent years. Experimental work with rodents are the main basis for this evidence. The first study on genetic variations in the antibody response was carried out by Gorer & Schütze (1938). Later Cinader (1960) published detailed considerations about the specificity and inheritance of the antibody response. In mice it has been demonstrated that a few dominant immune response (Ir) genes determine the ability to produce antibodies against certain specific antigens (McDevitt & Tyan 1968). The magnitude of the response is probably under the influence of polygenes, which are not associated with Ir genes. This theory is supported by selection for high and low antibody production in mice (Biozzi et al. 1972).     

Drivers of vegetative dormancy across herbaceous perennial plant species

Vegetative dormancy, that is the temporary absence of aboveground growth for ≥ 1 year, is paradoxical, because plants cannot photosynthesise or flower during dormant periods. We test ecological and evolutionary hypotheses for its widespread persistence. We show that dormancy has evolved numerous times. Most species displaying dormancy exhibit life‐history costs of sprouting, and of dormancy. Short‐lived and mycoheterotrophic species have higher proportions of dormant plants than long‐lived species and species with other nutritional modes. Foliage loss is associated with higher future dormancy levels, suggesting that carbon limitation promotes dormancy. Maximum dormancy duration is shorter under higher precipitation and at higher latitudes, the latter suggesting an important role for competition or herbivory. Study length affects estimates of some demographic parameters. Our results identify life historical and environmental drivers of dormancy. We also highlight the evolutionary importance of the little understood costs of sprouting and growth, latitudinal stress gradients and mixed nutritional modes.